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機械学習（ML）の世界市場

Machine Learning (ML)

出版日
ページ情報
英文 380 Pages
納期
即日から翌営業日
適宜更新あり
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価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=147.05円
機械学習（ML）の世界市場
出版日: 2024年09月10日
発行: Global Industry Analysts, Inc.
ページ情報: 英文 380 Pages
納期: 即日から翌営業日
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概要

機械学習（ML）の世界市場は2030年までに3,409億米ドルに達する見込み

2023年に505億米ドルと推定される機械学習（ML）の世界市場は、2023年から2030年にかけてCAGR 31.4%で成長し、2030年には3,409億米ドルに達すると予測されます。本レポートで分析したセグメントの1つであるサービス・コンポーネントは、CAGR 33.7%を記録し、分析期間終了時には2,021億米ドルに達すると予測されます。ソフトウェアコンポーネント・セグメントの成長率は、分析期間中CAGR 29.8％と推定されます。

米国市場は推定138億米ドル、中国はCAGR 41.8％で成長すると予測

米国の機械学習（ML）市場は、2023年に138億米ドルと推定されます。世界第2位の経済大国である中国は、2030年までに978億米ドルの市場規模に達すると予測され、分析期間2023-2030年のCAGRは41.8%です。その他の注目すべき地域別市場としては、日本とカナダがあり、分析期間中のCAGRはそれぞれ24.4%と27.9%と予測されています。欧州では、ドイツがCAGR 26.0%で成長すると予測されています。

世界の機械学習（ML）市場- 主要動向と促進要因のまとめ

なぜ機械学習（ML）が産業を変革するのか？

機械学習（ML）は技術革新の最前線にあり、コンピュータがデータから学習し、人間の介入を最小限に抑えて意思決定を行うことで、産業を変革しています。MLアルゴリズムは、膨大な量のデータを分析し、パターンを特定し、予測を行い、明示的にプログラムされることなく、時間の経過とともに改善していきます。複雑なデータセットを大規模に処理・分析するこの能力は、ヘルスケアや金融から小売業や製造業に至るまで、様々な分野でのMLの採用を促進しています。ヘルスケアでは、MLは病気の診断、患者の予後予測、治療計画のパーソナライズに利用されています。金融分野では、MLは不正検知、アルゴリズム取引、リスク管理に威力を発揮しています。小売業では、サプライチェーンの最適化、需要予測、パーソナライズされたレコメンデーションによる顧客体験の向上にMLが活用されています。企業がデータを活用して競争優位に立とうとする中、MLの変革力は業界を問わずますます明白になってきています。

テクノロジーの進歩はどのように機械学習を加速させているのか？

テクノロジーの急速な進歩は、機械学習の能力と採用を大幅に加速させています。より強力で効率的なプロセッサー、特にGPUや特殊なAIチップの開発により、MLモデルのより高速で効率的な学習が可能になり、リアルタイムのデータ分析と意思決定が可能になっています。クラウド・コンピューティングの台頭も、MLアルゴリズムの計算要求に対応できるスケーラブルでアクセス可能なコンピューティング・リソースを提供することで、重要な役割を果たしています。さらに、ビッグデータ技術の統合により、MLモデルの学習に利用可能なデータ量が拡大し、その精度とロバスト性が向上しました。ディープラーニングや強化学習などのアルゴリズムやフレームワークの継続的な進歩は、MLが達成できることの限界を押し広げ、より複雑で高度なアプリケーションを可能にしています。このような技術革新は、MLシステムのパフォーマンスを向上させるだけでなく、より幅広い産業やビジネスへのアクセスを可能にしています。

機械学習の導入をリードしているセクターは？

機械学習の導入は、意思決定とイノベーションを推進するために大量のデータを生成し、それに依存している部門が主導しています。テクノロジー部門は、検索エンジンやソーシャルメディア・アルゴリズムからサイバーセキュリティや自律システムまで、幅広いアプリケーションの動力源としてMLを使用しており、主要な採用者です。ヘルスケア業界もMLを積極的に採用しており、医療画像の分析、疾病の発生予測、個別化医療の開発などに利用されています。金融サービス分野では、不正検知、信用スコアリング、自動取引システムにMLが活用されています。小売業界では、在庫管理の最適化、マーケティング活動の個別化、顧客サービスの強化にMLが活用されています。製造業でも、予知保全、品質管理、サプライチェーン最適化のためにMLの導入が進んでいます。これらの分野全体において、MLがデータを分析し、意思決定プロセスを自動化する能力は、企業が効率性を高め、コストを削減し、イノベーションを目指す中で、広く採用されています。

機械学習市場の成長を促す要因とは？

機械学習（ML）市場の成長は、業界全体におけるデータ主導の洞察と自動化に対する需要の高まりを反映するいくつかの要因によって牽引されています。企業や消費者によって生成されるデータの急激な増加は主要な促進要因であり、MLはこのデータを分析し、意味を理解するためのツールを提供し、より多くの情報に基づいた意思決定を可能にします。AIの台頭と、複雑なタスクを自動化できるインテリジェント・システムの必要性も、MLソリューションの需要を後押ししています。さらに、クラウドベースのMLサービスやプラットフォームが利用可能になりつつあることで、企業の参入障壁が下がり、より多くの組織がMLを業務に統合できるようになっています。コンピューティング能力の継続的な進歩、特にAIに特化したハードウェアの開発は、MLモデルの性能と効率を向上させ、より要求の厳しいリアルタイム・アプリケーションでの採用を促進しています。さらに、小売、金融、ヘルスケアなどの業界では、パーソナライゼーションと顧客中心主義が重視されるようになり、企業はオーダーメイドの体験やサービスを提供するためにMLを採用するようになっています。これらの要因が相まって、ML市場は大きな成長へと向かっています。MLを活用して競争力を獲得し、イノベーションを推進することの価値が、あらゆる業界の企業に認識されているからです。

調査対象企業の例（全35件）

  • Altair Engineering Inc.
  • Alteryx, Inc.
  • Amazon Web Services, Inc.
  • BigML, Inc.（U.S.）
  • Cisco Systems, Inc.
  • Databricks Inc.
  • FICO
  • H2o.AI
  • Iflowsoft Solutions Inc.
  • Intel Corporation
  • KNIME AG
  • Netguru S.A
  • Oracle Corporation
  • SAS Institute Inc.
  • Yottamine Analytics;

目次

第1章 調査手法

第2章 エグゼクティブサマリー

  • 市場概要
  • 主要企業
  • 市場動向と促進要因
  • 世界市場の見通し

第3章 市場分析

  • 米国
  • カナダ
  • 日本
  • 中国
  • 欧州
  • フランス
  • ドイツ
  • イタリア
  • 英国
  • スペイン
  • ロシア
  • その他欧州
  • アジア太平洋
  • オーストラリア
  • インド
  • 韓国
  • その他アジア太平洋地域
  • ラテンアメリカ
  • アルゼンチン
  • ブラジル
  • メキシコ
  • その他ラテンアメリカ
  • 中東
  • イラン
  • イスラエル
  • サウジアラビア
  • アラブ首長国連邦
  • その他中東
  • アフリカ

第4章 競合

目次
Product Code: MCP28081

Global Machine Learning (ML) Market to Reach US$340.9 Billion by 2030

The global market for Machine Learning (ML) estimated at US$50.5 Billion in the year 2023, is expected to reach US$340.9 Billion by 2030, growing at a CAGR of 31.4% over the analysis period 2023-2030. Services Component, one of the segments analyzed in the report, is expected to record a 33.7% CAGR and reach US$202.1 Billion by the end of the analysis period. Growth in the Software Component segment is estimated at 29.8% CAGR over the analysis period.

The U.S. Market is Estimated at US$13.8 Billion While China is Forecast to Grow at 41.8% CAGR

The Machine Learning (ML) market in the U.S. is estimated at US$13.8 Billion in the year 2023. China, the world's second largest economy, is forecast to reach a projected market size of US$97.8 Billion by the year 2030 trailing a CAGR of 41.8% over the analysis period 2023-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 24.4% and 27.9% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 26.0% CAGR.

Global Machine Learning (ML) Market - Key Trends & Drivers Summarized

Why Is Machine Learning (ML) Transforming Industries?

Machine Learning (ML) is at the forefront of technological innovation, transforming industries by enabling computers to learn from data and make decisions with minimal human intervention. ML algorithms analyze vast amounts of data to identify patterns, make predictions, and improve over time without being explicitly programmed. This ability to process and analyze complex datasets at scale is driving the adoption of ML across various sectors, from healthcare and finance to retail and manufacturing. In healthcare, ML is being used to diagnose diseases, predict patient outcomes, and personalize treatment plans. In finance, ML powers fraud detection, algorithmic trading, and risk management. Retailers use ML to optimize supply chains, forecast demand, and enhance customer experiences through personalized recommendations. As businesses seek to leverage data to gain a competitive edge, the transformative power of ML is becoming increasingly evident across industries.

How Are Advances in Technology Accelerating Machine Learning?

The rapid advancements in technology are significantly accelerating the capabilities and adoption of Machine Learning. The development of more powerful and efficient processors, particularly GPUs and specialized AI chips, is enabling faster and more efficient training of ML models, allowing for real-time data analysis and decision-making. The rise of cloud computing has also played a crucial role by providing scalable and accessible computing resources that can handle the computational demands of ML algorithms. Furthermore, the integration of big data technologies has expanded the amount of data available for training ML models, improving their accuracy and robustness. The continuous advancements in algorithms and frameworks, such as deep learning and reinforcement learning, are pushing the boundaries of what ML can achieve, enabling more complex and sophisticated applications. These technological innovations are not only enhancing the performance of ML systems but are also making them more accessible to a broader range of industries and businesses.

Which Sectors Are Leading the Adoption of Machine Learning?

The adoption of Machine Learning is being led by sectors that generate and rely on large volumes of data to drive decision-making and innovation. The technology sector is a primary adopter, using ML to power a wide range of applications, from search engines and social media algorithms to cybersecurity and autonomous systems. The healthcare industry is another significant adopter, where ML is being used to analyze medical images, predict disease outbreaks, and develop personalized medicine. The financial services sector is leveraging ML for fraud detection, credit scoring, and automated trading systems. In the retail industry, ML is being used to optimize inventory management, personalize marketing efforts, and enhance customer service. The manufacturing sector is also increasingly adopting ML to improve predictive maintenance, quality control, and supply chain optimization. Across these sectors, the ability of ML to analyze data and automate decision-making processes is driving widespread adoption as businesses seek to enhance efficiency, reduce costs, and innovate.

What Factors Are Driving the Growth of the Machine Learning Market?

The growth in the Machine Learning (ML) market is driven by several factors that reflect the increasing demand for data-driven insights and automation across industries. The exponential growth of data generated by businesses and consumers is a major driver, as ML provides the tools to analyze and make sense of this data, enabling more informed decision-making. The rise of AI and the need for intelligent systems that can automate complex tasks is also fueling the demand for ML solutions. Additionally, the increasing availability of cloud-based ML services and platforms is lowering the barrier to entry for businesses, enabling more organizations to integrate ML into their operations. The continuous advancements in computing power, particularly with the development of AI-specific hardware, are enhancing the performance and efficiency of ML models, driving their adoption in more demanding and real-time applications. Furthermore, the growing emphasis on personalization and customer-centricity in industries such as retail, finance, and healthcare is pushing companies to adopt ML to deliver tailored experiences and services. These factors combined are propelling the ML market towards significant growth as businesses across industries recognize the value of leveraging ML to gain a competitive edge and drive innovation.

Select Competitors (Total 35 Featured) -

  • Altair Engineering Inc.
  • Alteryx, Inc.
  • Amazon Web Services, Inc.
  • BigML, Inc. (U.S.)
  • Cisco Systems, Inc.
  • Databricks Inc.
  • FICO
  • H2o.AI
  • Iflowsoft Solutions Inc.
  • Intel Corporation
  • KNIME AG
  • Netguru S.A
  • Oracle Corporation
  • SAS Institute Inc.
  • Yottamine Analytics ;

TABLE OF CONTENTS

I. METHODOLOGY

II. EXECUTIVE SUMMARY

  • 1. MARKET OVERVIEW
    • Influencer Market Insights
    • World Market Trajectories
    • Global Economic Update
    • Machine Learning (ML) - Global Key Competitors Percentage Market Share in 2024 (E)
    • Competitive Market Presence - Strong/Active/Niche/Trivial for Players Worldwide in 2024 (E)
  • 2. FOCUS ON SELECT PLAYERS
  • 3. MARKET TRENDS & DRIVERS
    • Rapid Expansion of AI and ML Applications Across Various Industries
    • Impact of Big Data and Data Analytics on ML Model Development
    • Growing Demand for Edge ML Solutions and Real-Time Data Processing
    • Influence of Cloud Computing on the Scalability of ML Solutions
    • Adoption of Automated ML (AutoML) for Streamlined Model Development
    • Impact of Open Source ML Tools and Frameworks on Market Accessibility
    • Growing Need for Explainable AI and Transparency in ML Algorithms
    • Impact of Quantum Computing on the Future of Machine Learning
    • Opportunities in Vertical-Specific ML Applications (e.g., Healthcare, Finance)
  • 4. GLOBAL MARKET PERSPECTIVE
    • TABLE 1: World Machine Learning (ML) Market Analysis of Annual Sales in US$ Million for Years 2014 through 2030
    • TABLE 2: World Recent Past, Current & Future Analysis for Machine Learning (ML) by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 3: World Historic Review for Machine Learning (ML) by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 4: World 16-Year Perspective for Machine Learning (ML) by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets for Years 2014, 2024 & 2030
    • TABLE 5: World Recent Past, Current & Future Analysis for Services by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 6: World Historic Review for Services by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 7: World 16-Year Perspective for Services by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2014, 2024 & 2030
    • TABLE 8: World Recent Past, Current & Future Analysis for Software by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 9: World Historic Review for Software by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 10: World 16-Year Perspective for Software by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2014, 2024 & 2030
    • TABLE 11: World Recent Past, Current & Future Analysis for Hardware by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 12: World Historic Review for Hardware by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 13: World 16-Year Perspective for Hardware by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2014, 2024 & 2030
    • TABLE 14: World Recent Past, Current & Future Analysis for Automotive & Transportation End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 15: World Historic Review for Automotive & Transportation End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 16: World 16-Year Perspective for Automotive & Transportation End-Use by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2014, 2024 & 2030
    • TABLE 17: World Recent Past, Current & Future Analysis for Retail End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 18: World Historic Review for Retail End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 19: World 16-Year Perspective for Retail End-Use by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2014, 2024 & 2030
    • TABLE 20: World Recent Past, Current & Future Analysis for Agriculture End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 21: World Historic Review for Agriculture End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 22: World 16-Year Perspective for Agriculture End-Use by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2014, 2024 & 2030
    • TABLE 23: World Recent Past, Current & Future Analysis for Other End-Uses by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 24: World Historic Review for Other End-Uses by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 25: World 16-Year Perspective for Other End-Uses by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2014, 2024 & 2030
    • TABLE 26: World Recent Past, Current & Future Analysis for Advertising & Media End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 27: World Historic Review for Advertising & Media End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 28: World 16-Year Perspective for Advertising & Media End-Use by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2014, 2024 & 2030
    • TABLE 29: World Recent Past, Current & Future Analysis for BFSI End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 30: World Historic Review for BFSI End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 31: World 16-Year Perspective for BFSI End-Use by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2014, 2024 & 2030
    • TABLE 32: World Recent Past, Current & Future Analysis for Healthcare End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 33: World Historic Review for Healthcare End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 34: World 16-Year Perspective for Healthcare End-Use by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2014, 2024 & 2030
    • TABLE 35: World Recent Past, Current & Future Analysis for Manufacturing End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 36: World Historic Review for Manufacturing End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 37: World 16-Year Perspective for Manufacturing End-Use by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2014, 2024 & 2030
    • TABLE 38: World Recent Past, Current & Future Analysis for Large Enterprises by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 39: World Historic Review for Large Enterprises by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 40: World 16-Year Perspective for Large Enterprises by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2014, 2024 & 2030
    • TABLE 41: World Recent Past, Current & Future Analysis for SMEs by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 42: World Historic Review for SMEs by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 43: World 16-Year Perspective for SMEs by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2014, 2024 & 2030

III. MARKET ANALYSIS

  • UNITED STATES
    • Machine Learning (ML) Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United States for 2024 (E)
    • TABLE 44: USA Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 45: USA Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 46: USA 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
    • TABLE 47: USA Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 48: USA Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 49: USA 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
    • TABLE 50: USA Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 51: USA Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 52: USA 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
  • CANADA
    • TABLE 53: Canada Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 54: Canada Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 55: Canada 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
    • TABLE 56: Canada Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 57: Canada Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 58: Canada 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
    • TABLE 59: Canada Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 60: Canada Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 61: Canada 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
  • JAPAN
    • Machine Learning (ML) Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Japan for 2024 (E)
    • TABLE 62: Japan Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 63: Japan Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 64: Japan 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
    • TABLE 65: Japan Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 66: Japan Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 67: Japan 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
    • TABLE 68: Japan Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 69: Japan Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 70: Japan 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
  • CHINA
    • Machine Learning (ML) Market Presence - Strong/Active/Niche/Trivial - Key Competitors in China for 2024 (E)
    • TABLE 71: China Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 72: China Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 73: China 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
    • TABLE 74: China Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 75: China Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 76: China 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
    • TABLE 77: China Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 78: China Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 79: China 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
  • EUROPE
    • Machine Learning (ML) Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Europe for 2024 (E)
    • TABLE 80: Europe Recent Past, Current & Future Analysis for Machine Learning (ML) by Geographic Region - France, Germany, Italy, UK, Spain, Russia and Rest of Europe Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 81: Europe Historic Review for Machine Learning (ML) by Geographic Region - France, Germany, Italy, UK, Spain, Russia and Rest of Europe Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 82: Europe 16-Year Perspective for Machine Learning (ML) by Geographic Region - Percentage Breakdown of Value Sales for France, Germany, Italy, UK, Spain, Russia and Rest of Europe Markets for Years 2014, 2024 & 2030
    • TABLE 83: Europe Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 84: Europe Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 85: Europe 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
    • TABLE 86: Europe Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 87: Europe Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 88: Europe 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
    • TABLE 89: Europe Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 90: Europe Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 91: Europe 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
  • FRANCE
    • Machine Learning (ML) Market Presence - Strong/Active/Niche/Trivial - Key Competitors in France for 2024 (E)
    • TABLE 92: France Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 93: France Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 94: France 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
    • TABLE 95: France Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 96: France Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 97: France 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
    • TABLE 98: France Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 99: France Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 100: France 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
  • GERMANY
    • Machine Learning (ML) Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Germany for 2024 (E)
    • TABLE 101: Germany Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 102: Germany Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 103: Germany 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
    • TABLE 104: Germany Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 105: Germany Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 106: Germany 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
    • TABLE 107: Germany Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 108: Germany Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 109: Germany 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
  • ITALY
    • TABLE 110: Italy Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 111: Italy Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 112: Italy 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
    • TABLE 113: Italy Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 114: Italy Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 115: Italy 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
    • TABLE 116: Italy Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 117: Italy Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 118: Italy 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
  • UNITED KINGDOM
    • Machine Learning (ML) Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United Kingdom for 2024 (E)
    • TABLE 119: UK Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 120: UK Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 121: UK 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
    • TABLE 122: UK Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 123: UK Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 124: UK 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
    • TABLE 125: UK Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 126: UK Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 127: UK 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
  • SPAIN
    • TABLE 128: Spain Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 129: Spain Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 130: Spain 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
    • TABLE 131: Spain Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 132: Spain Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 133: Spain 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
    • TABLE 134: Spain Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 135: Spain Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 136: Spain 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
  • RUSSIA
    • TABLE 137: Russia Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 138: Russia Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 139: Russia 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
    • TABLE 140: Russia Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 141: Russia Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 142: Russia 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
    • TABLE 143: Russia Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 144: Russia Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 145: Russia 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
  • REST OF EUROPE
    • TABLE 146: Rest of Europe Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 147: Rest of Europe Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 148: Rest of Europe 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
    • TABLE 149: Rest of Europe Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 150: Rest of Europe Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 151: Rest of Europe 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
    • TABLE 152: Rest of Europe Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 153: Rest of Europe Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 154: Rest of Europe 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
  • ASIA-PACIFIC
    • Machine Learning (ML) Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Asia-Pacific for 2024 (E)
    • TABLE 155: Asia-Pacific Recent Past, Current & Future Analysis for Machine Learning (ML) by Geographic Region - Australia, India, South Korea and Rest of Asia-Pacific Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 156: Asia-Pacific Historic Review for Machine Learning (ML) by Geographic Region - Australia, India, South Korea and Rest of Asia-Pacific Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 157: Asia-Pacific 16-Year Perspective for Machine Learning (ML) by Geographic Region - Percentage Breakdown of Value Sales for Australia, India, South Korea and Rest of Asia-Pacific Markets for Years 2014, 2024 & 2030
    • TABLE 158: Asia-Pacific Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 159: Asia-Pacific Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 160: Asia-Pacific 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
    • TABLE 161: Asia-Pacific Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 162: Asia-Pacific Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 163: Asia-Pacific 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
    • TABLE 164: Asia-Pacific Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 165: Asia-Pacific Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 166: Asia-Pacific 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
  • AUSTRALIA
    • Machine Learning (ML) Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Australia for 2024 (E)
    • TABLE 167: Australia Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 168: Australia Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 169: Australia 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
    • TABLE 170: Australia Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 171: Australia Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 172: Australia 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
    • TABLE 173: Australia Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 174: Australia Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 175: Australia 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
  • INDIA
    • Machine Learning (ML) Market Presence - Strong/Active/Niche/Trivial - Key Competitors in India for 2024 (E)
    • TABLE 176: India Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 177: India Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 178: India 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
    • TABLE 179: India Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 180: India Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 181: India 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
    • TABLE 182: India Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 183: India Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 184: India 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
  • SOUTH KOREA
    • TABLE 185: South Korea Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 186: South Korea Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 187: South Korea 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
    • TABLE 188: South Korea Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 189: South Korea Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 190: South Korea 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
    • TABLE 191: South Korea Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 192: South Korea Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 193: South Korea 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
  • REST OF ASIA-PACIFIC
    • TABLE 194: Rest of Asia-Pacific Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 195: Rest of Asia-Pacific Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 196: Rest of Asia-Pacific 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
    • TABLE 197: Rest of Asia-Pacific Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 198: Rest of Asia-Pacific Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 199: Rest of Asia-Pacific 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
    • TABLE 200: Rest of Asia-Pacific Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 201: Rest of Asia-Pacific Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 202: Rest of Asia-Pacific 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
  • LATIN AMERICA
    • Machine Learning (ML) Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Latin America for 2024 (E)
    • TABLE 203: Latin America Recent Past, Current & Future Analysis for Machine Learning (ML) by Geographic Region - Argentina, Brazil, Mexico and Rest of Latin America Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 204: Latin America Historic Review for Machine Learning (ML) by Geographic Region - Argentina, Brazil, Mexico and Rest of Latin America Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 205: Latin America 16-Year Perspective for Machine Learning (ML) by Geographic Region - Percentage Breakdown of Value Sales for Argentina, Brazil, Mexico and Rest of Latin America Markets for Years 2014, 2024 & 2030
    • TABLE 206: Latin America Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 207: Latin America Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 208: Latin America 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
    • TABLE 209: Latin America Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 210: Latin America Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 211: Latin America 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
    • TABLE 212: Latin America Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 213: Latin America Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 214: Latin America 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
  • ARGENTINA
    • TABLE 215: Argentina Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 216: Argentina Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 217: Argentina 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
    • TABLE 218: Argentina Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 219: Argentina Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 220: Argentina 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
    • TABLE 221: Argentina Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 222: Argentina Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 223: Argentina 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
  • BRAZIL
    • TABLE 224: Brazil Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 225: Brazil Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 226: Brazil 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
    • TABLE 227: Brazil Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 228: Brazil Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 229: Brazil 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
    • TABLE 230: Brazil Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 231: Brazil Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 232: Brazil 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
  • MEXICO
    • TABLE 233: Mexico Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 234: Mexico Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 235: Mexico 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
    • TABLE 236: Mexico Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 237: Mexico Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 238: Mexico 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
    • TABLE 239: Mexico Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 240: Mexico Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 241: Mexico 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
  • REST OF LATIN AMERICA
    • TABLE 242: Rest of Latin America Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 243: Rest of Latin America Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 244: Rest of Latin America 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
    • TABLE 245: Rest of Latin America Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 246: Rest of Latin America Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 247: Rest of Latin America 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
    • TABLE 248: Rest of Latin America Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 249: Rest of Latin America Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 250: Rest of Latin America 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
  • MIDDLE EAST
    • Machine Learning (ML) Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Middle East for 2024 (E)
    • TABLE 251: Middle East Recent Past, Current & Future Analysis for Machine Learning (ML) by Geographic Region - Iran, Israel, Saudi Arabia, UAE and Rest of Middle East Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 252: Middle East Historic Review for Machine Learning (ML) by Geographic Region - Iran, Israel, Saudi Arabia, UAE and Rest of Middle East Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 253: Middle East 16-Year Perspective for Machine Learning (ML) by Geographic Region - Percentage Breakdown of Value Sales for Iran, Israel, Saudi Arabia, UAE and Rest of Middle East Markets for Years 2014, 2024 & 2030
    • TABLE 254: Middle East Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 255: Middle East Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 256: Middle East 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
    • TABLE 257: Middle East Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 258: Middle East Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 259: Middle East 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
    • TABLE 260: Middle East Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 261: Middle East Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 262: Middle East 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
  • IRAN
    • TABLE 263: Iran Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 264: Iran Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 265: Iran 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
    • TABLE 266: Iran Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 267: Iran Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 268: Iran 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
    • TABLE 269: Iran Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 270: Iran Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 271: Iran 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
  • ISRAEL
    • TABLE 272: Israel Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 273: Israel Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 274: Israel 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
    • TABLE 275: Israel Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 276: Israel Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 277: Israel 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
    • TABLE 278: Israel Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 279: Israel Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 280: Israel 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
  • SAUDI ARABIA
    • TABLE 281: Saudi Arabia Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 282: Saudi Arabia Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 283: Saudi Arabia 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
    • TABLE 284: Saudi Arabia Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 285: Saudi Arabia Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 286: Saudi Arabia 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
    • TABLE 287: Saudi Arabia Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 288: Saudi Arabia Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 289: Saudi Arabia 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
  • UNITED ARAB EMIRATES
    • TABLE 290: UAE Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 291: UAE Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 292: UAE 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
    • TABLE 293: UAE Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 294: UAE Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 295: UAE 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
    • TABLE 296: UAE Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 297: UAE Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 298: UAE 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
  • REST OF MIDDLE EAST
    • TABLE 299: Rest of Middle East Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 300: Rest of Middle East Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 301: Rest of Middle East 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
    • TABLE 302: Rest of Middle East Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 303: Rest of Middle East Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 304: Rest of Middle East 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
    • TABLE 305: Rest of Middle East Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 306: Rest of Middle East Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 307: Rest of Middle East 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
  • AFRICA
    • Machine Learning (ML) Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Africa for 2024 (E)
    • TABLE 308: Africa Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 309: Africa Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 310: Africa 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
    • TABLE 311: Africa Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 312: Africa Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 313: Africa 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
    • TABLE 314: Africa Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 315: Africa Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
    • TABLE 316: Africa 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030

IV. COMPETITION