機械学習の世界市場レポート 2025

機械学習市場規模は、今後数年で飛躍的な成長が見込まれます。2029年にはCAGR36.7％で3,298億米ドルに成長します。予測期間の成長は、説明可能性と倫理的aiの懸念、指数関数的なデータ増加、エッジコンピューティングの拡大、aiとmlの統合の拡大、予測分析の世界の需要に起因します。予測期間の主な動向には、アルゴリズム革新の継続、ビッグデータ技術の台頭、自動化機械学習（automl）、連携学習、mlと他の技術との統合、業界固有のmlソリューションなどが含まれます。

クラウドベースのプラットフォーム採用の増加は、機械学習市場成長の原動力になると予想されます。クラウドベースのプラットフォームは、インターネット経由でコンピューティングサービスやリソースを提供し、物理的なインフラやハードウェアを必要とせずに、アプリケーション、ストレージ、処理能力へのアクセスをユーザーに提供します。これらのプラットフォームは、複数のユーザーが同時にプロジェクトに取り組むことでコラボレーションを促進するだけでなく、他のクラウドサービスとのシームレスな統合を可能にします。英国の政府機関であるOfcomによると、英国のクラウドインフラ市場の2022年の市場規模は約70億ポンドから75億ポンドとされています。さらに、2023年には、世界のハイテク企業やビジネスリーダーの41.4％がクラウドベースのサービスや製品への投資を増やす予定であり、機械学習市場の成長を促進する上でクラウドの導入が重要な役割を果たしていることが浮き彫りになっています。

機械学習市場の主要プレーヤーは、機械学習プロセスを合理化・自動化する自動化機械学習ツールに力を注いでいます。これらのツールは、モデルの選択、トレーニング、デプロイメントを自動化し、機械学習の専門知識が乏しい個人や組織でも利用できるようにすることを目的としています。シンガポールを拠点とするフィンテック企業AND Solutions Pte Ltd.は、2023年4月にNIKO AutoMLプラットフォームを発表し、この動向を例証しています。NIKO AutoMLは、予測モデルの作成を簡素化・迅速化するために設計された革新的な機械学習ツールです。このプラットフォームは、ユーザーフレンドリーなインターフェースを提供し、プロセスの各段階を通じてユーザーをガイドし、従来のアプローチと比較してわずかな時間で最適な結果を提供します。NIKO AutoMLの主な利点は、迅速で正確なモデル作成、合理化されたワークフロー、生産性の向上、費用対効果です。

目次

第1章 エグゼクティブサマリー

第2章 市場の特徴

第3章 市場動向と戦略

第4章 市場- 金利、インフレ、地政学、コロナ、回復が市場に与える影響を含むマクロ経済シナリオ

第5章 世界の成長分析と戦略分析フレームワーク

• 世界機械学習 PESTEL分析（政治、社会、技術、環境、法的要因、促進要因、抑制要因）
• 最終用途産業の分析
• 世界の機械学習市場：成長率分析
• 世界の機械学習市場の実績：規模と成長, 2019-2024
• 世界の機械学習市場の予測：規模と成長, 2024-2029, 2034F
• 世界機械学習総アドレス可能市場（TAM）

第6章 市場セグメンテーション

• 世界の機械学習市場コンポーネント別展望、実績と予測, 2019-2024, 2024-2029F, 2034F
• ハードウェア
• ソフトウェア
• 世界の機械学習市場：展開別、実績と予測, 2019-2024, 2024-2029F, 2034F
• クラウド
• オンプレミス
• 世界の機械学習市場：タイプ別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 大企業
• 中小企業
• 世界の機械学習市場：エンドユーザー別、実績と予測, 2019-2024, 2024-2029F, 2034F
• ヘルスケア
• 小売り
• BFSI
• 製造業
• ITと通信
• エネルギーと公共事業
• 農業
• 自動車
• マーケティングと広告
• 世界の機械学習市場、ハードウェアのサブセグメンテーション、タイプ別、実績と予測, 2019-2024, 2024-2029F, 2034F
• グラフィックスプロセッシングユニット（GPU）
• 特定用途向け集積回路（ASIC）
• フィールドプログラマブルゲートアレイ（FPGA）
• 中央処理装置（CPU）
• メモリとストレージデバイス
• 世界の機械学習市場、ソフトウェアのサブセグメンテーション、タイプ別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 機械学習フレームワークとライブラリ
• データ処理および分析ツール
• モデル開発プラットフォーム
• 展開および統合ソフトウェア
• 事前構築されたAIソリューション

第7章 地域別・国別分析

• 世界の機械学習市場：地域別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 世界の機械学習市場：国別、実績と予測, 2019-2024, 2024-2029F, 2034F

第8章 アジア太平洋市場

第9章 中国市場

第10章 インド市場

第11章 日本市場

第12章 オーストラリア市場

第13章 インドネシア市場

第14章 韓国市場

第15章 西欧市場

第16章 英国市場

第17章 ドイツ市場

第18章 フランス市場

第19章 イタリア市場

第20章 スペイン市場

第21章 東欧市場

第22章 ロシア市場

第23章 北米市場

第24章 米国市場

第25章 カナダ市場

第26章 南米市場

第27章 ブラジル市場

第28章 中東市場

第29章 アフリカ市場

第30章 競合情勢と企業プロファイル

• 機械学習市場：競合情勢
• 機械学習市場：企業プロファイル
  • Google Inc. Overview, Products and Services, Strategy and Financial Analysis
  • Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
  • Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis
  • International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis
  • SAP SE Overview, Products and Services, Strategy and Financial Analysis

第31章 その他の大手企業と革新的企業

• Hewlett Packard Enterprise Development LP
• Baidu Inc.
• Intel Corporation
• SAS Institute Inc.
• Fair Isaac Corporation
• Alteryx
• Dataiku
• H2o.AI
• KNIME.com AG
• Alpine Data
• Peltarion
• RapidMiner Inc.
• BigML Inc.
• Luminoso Technologies Inc.
• Turing Analytics

第32章 世界の市場競合ベンチマーキングとダッシュボード

第33章 主要な合併と買収

第34章 最近の市場動向

第35章 市場の潜在力が高い国、セグメント、戦略

• 機械学習市場2029：新たな機会を提供する国
• 機械学習市場2029：新たな機会を提供するセグメント
• 機械学習市場2029：成長戦略
  • 市場動向に基づく戦略
  • 競合の戦略

第36章 付録

Machine learning is a subset of artificial intelligence that revolves around the creation of algorithms enabling computers to learn from data, recognize patterns, and generate predictions or decisions without explicit programming. The core objective is to develop models that enhance their performance over time through exposure to additional information, emphasizing the capacity for autonomous learning and adaptation.

The primary components of machine learning include hardware and software. Hardware tools encompass physical devices and equipment tailored for specific tasks or functions in diverse fields such as construction, manufacturing, or electronics. These tools facilitate the processing of large datasets and complex neural network architectures, thereby improving the performance and scalability of machine learning applications. Machine learning is deployed both in the cloud and on-premises, catering to the needs of large enterprises, small and medium enterprises, and is utilized across various sectors, including healthcare, retail, BFSI (Banking, Financial Services, and Insurance), manufacturing, IT & telecom, energy & utilities, agriculture, automotive, as well as marketing and advertising.

The machine learning market research report is one of a series of new reports from The Business Research Company that provides machine learning market statistics, including machine learning industry global market size, regional shares, competitors with a machine learning market share, detailed machine learning market segments, market trends and opportunities, and any further data you may need to thrive in the machine learning industry. This machine learning market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The machine learning market size has grown exponentially in recent years. It will grow from $68.88 billion in 2024 to $94.35 billion in 2025 at a compound annual growth rate (CAGR) of 37.0%. The growth in the historic period can be attributed to advancements in algorithms, increasing data availability, computing power enhancement, industry adoption and integration, iot and edge computing integration.

The machine learning market size is expected to see exponential growth in the next few years. It will grow to $329.8 billion in 2029 at a compound annual growth rate (CAGR) of 36.7%. The growth in the forecast period can be attributed to explainability and ethical ai concerns, exponential data growth, expansion of edge computing, growing integration of ai and ml, global demand for predictive analytics. Major trends in the forecast period include continued algorithmic innovations, rise of big data technology, automated machine learning (automl), federated learning, integration of ml with other technologies, industry-specific ml solutions.

The increasing adoption of cloud-based platforms is expected to be a driving force behind the growth of the machine learning market. Cloud-based platforms, delivering computing services and resources over the internet, provide users with access to applications, storage, and processing power without the need for physical infrastructure or hardware. These platforms not only facilitate collaboration by allowing multiple users to work on projects simultaneously but also enable seamless integration with other cloud services. According to Ofcom, a UK-based Government office, the UK's cloud infrastructure market was valued between approximately £7.0 billion to £7.5 billion in 2022. Moreover, in 2023, 41.4% of global tech and business leaders are planning to increase their investment in cloud-based services and products, highlighting the significant role of cloud adoption in driving the growth of the machine learning market.

Key players in the machine learning market are directing their efforts toward automated machine learning tools to streamline and automate the machine learning process. These tools aim to automate model selection, training, and deployment, making machine learning more accessible to individuals and organizations with limited expertise in the field. AND Solutions Pte Ltd., a Singapore-based fintech company, exemplifies this trend with the launch of the NIKO AutoML platform in April 2023. NIKO AutoML is an innovative machine-learning tool designed to simplify and expedite the creation of prediction models. The platform offers a user-friendly interface, guiding users through each stage of the process, and provides optimal results in a fraction of the time compared to traditional approaches. Key benefits of NIKO AutoML include fast and accurate model creation, streamlined workflows, increased productivity, and cost-effectiveness.

In May 2023, Infineon Technologies AG, a Germany-based semiconductor manufacturing company, made a strategic move by acquiring Imagimob AB for an undisclosed amount. This acquisition strengthens Infineon Technologies AG's position as a leading machine learning solution provider and significantly expands its portfolio of artificial intelligence (AI) products. Imagimob AB, based in Sweden, specializes in providing a platform for developing machine learning models for edge devices, aligning with the growing trend of edge computing in the machine learning landscape.

Major companies operating in the machine learning market report are Google Inc., Microsoft Corporation, Amazon Web Services Inc., International Business Machines Corporation, SAP SE, Hewlett Packard Enterprise Development LP, Baidu Inc., Intel Corporation, SAS Institute Inc., Fair Isaac Corporation, Alteryx, Dataiku, H2o.AI, KNIME.com AG, Alpine Data, Peltarion, RapidMiner Inc., BigML Inc., Luminoso Technologies Inc., Turing Analytics

North America was the largest region in the machine learning market in 2024. Europe is expected to be the fastest-growing region in the forecast period. The regions covered in the machine learning market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the machine learning market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain

The machine learning market includes revenues earned by entities by predictive analytics, natural language processing, image and video recognition, speech recognition, recommendation systems and anomaly detection. The market value includes the value of related goods sold by the service provider or included within the service offering. The machine learning market consists of sales of graphics processing units (GPUs), application-specific integrated circuits,edge AI processors and others. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Machine Learning Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on machine learning market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for machine learning ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The machine learning market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

• The market characteristics section of the report defines and explains the market.
• The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
• The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

• Market segmentations break down the market into sub markets.
• The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
• The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
• The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

• Markets Covered:1) By Component Outlook: Hardware; Software
• 2) By Deployment: Cloud; On-Premises
• 3) By Type: Large Enterprises; Small And Medium Enterprise
• 4) By End-User: Healthcare; Retail; BFSI; Manufacturing; IT And Telecom; Energy And Utilities; Agriculture; Automotive; Marketing And Advertising
• Subsegments:
• 1) By Hardware: Graphics Processing Units (GPUs); Application-Specific Integrated Circuits (ASICs); Field Programmable Gate Arrays (FPGAs); Central Processing Units (CPUs); Memory And Storage Devices
• 2) By Software: Machine Learning Frameworks And Libraries; Data Processing And Analytics Tools; Model Development Platforms; Deployment And Integration Software; Pre-Built AI Solutions
• Companies Mentioned: Google Inc.; Microsoft Corporation; Amazon Web Services Inc.; International Business Machines Corporation; SAP SE
• Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
• Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
• Time series: Five years historic and ten years forecast.
• Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
• Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
• Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
• Delivery format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. Machine Learning Market Characteristics

3. Machine Learning Market Trends And Strategies

4. Machine Learning Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Covid And Recovery On The Market

5. Global Machine Learning Growth Analysis And Strategic Analysis Framework

• 5.1. Global Machine Learning PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
• 5.2. Analysis Of End Use Industries
• 5.3. Global Machine Learning Market Growth Rate Analysis
• 5.4. Global Machine Learning Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
• 5.5. Global Machine Learning Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
• 5.6. Global Machine Learning Total Addressable Market (TAM)

6. Machine Learning Market Segmentation

• 6.1. Global Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Hardware
• Software
• 6.2. Global Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Cloud
• On-Premises
• 6.3. Global Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Large Enterprises
• Small And Medium Enterprise
• 6.4. Global Machine Learning Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Healthcare
• Retail
• BFSI
• Manufacturing
• IT And Telecom
• Energy And Utilities
• Agriculture
• Automotive
• Marketing And Advertising
• 6.5. Global Machine Learning Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Graphics Processing Units (GPUs)
• Application-Specific Integrated Circuits (ASICs)
• Field Programmable Gate Arrays (FPGAs)
• Central Processing Units (CPUs)
• Memory And Storage Devices
• 6.6. Global Machine Learning Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Machine Learning Frameworks And Libraries
• Data Processing And Analytics Tools
• Model Development Platforms
• Deployment And Integration Software
• Pre-Built AI Solutions

7. Machine Learning Market Regional And Country Analysis

• 7.1. Global Machine Learning Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 7.2. Global Machine Learning Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Machine Learning Market

• 8.1. Asia-Pacific Machine Learning Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 8.2. Asia-Pacific Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 8.3. Asia-Pacific Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 8.4. Asia-Pacific Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Machine Learning Market

• 9.1. China Machine Learning Market Overview
• 9.2. China Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
• 9.3. China Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
• 9.4. China Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Machine Learning Market

• 10.1. India Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 10.2. India Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 10.3. India Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Machine Learning Market

• 11.1. Japan Machine Learning Market Overview
• 11.2. Japan Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 11.3. Japan Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 11.4. Japan Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Machine Learning Market

• 12.1. Australia Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 12.2. Australia Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 12.3. Australia Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Machine Learning Market

• 13.1. Indonesia Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 13.2. Indonesia Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 13.3. Indonesia Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Machine Learning Market

• 14.1. South Korea Machine Learning Market Overview
• 14.2. South Korea Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 14.3. South Korea Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 14.4. South Korea Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Machine Learning Market

• 15.1. Western Europe Machine Learning Market Overview
• 15.2. Western Europe Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 15.3. Western Europe Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 15.4. Western Europe Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Machine Learning Market

• 16.1. UK Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 16.2. UK Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 16.3. UK Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Machine Learning Market

• 17.1. Germany Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 17.2. Germany Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 17.3. Germany Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Machine Learning Market

• 18.1. France Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 18.2. France Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 18.3. France Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Machine Learning Market

• 19.1. Italy Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 19.2. Italy Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 19.3. Italy Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Machine Learning Market

• 20.1. Spain Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 20.2. Spain Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 20.3. Spain Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Machine Learning Market

• 21.1. Eastern Europe Machine Learning Market Overview
• 21.2. Eastern Europe Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 21.3. Eastern Europe Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 21.4. Eastern Europe Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Machine Learning Market

• 22.1. Russia Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 22.2. Russia Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 22.3. Russia Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Machine Learning Market

• 23.1. North America Machine Learning Market Overview
• 23.2. North America Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 23.3. North America Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 23.4. North America Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Machine Learning Market

• 24.1. USA Machine Learning Market Overview
• 24.2. USA Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 24.3. USA Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 24.4. USA Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Machine Learning Market

• 25.1. Canada Machine Learning Market Overview
• 25.2. Canada Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 25.3. Canada Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 25.4. Canada Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Machine Learning Market

• 26.1. South America Machine Learning Market Overview
• 26.2. South America Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 26.3. South America Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 26.4. South America Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Machine Learning Market

• 27.1. Brazil Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 27.2. Brazil Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 27.3. Brazil Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Machine Learning Market

• 28.1. Middle East Machine Learning Market Overview
• 28.2. Middle East Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 28.3. Middle East Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 28.4. Middle East Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Machine Learning Market

• 29.1. Africa Machine Learning Market Overview
• 29.2. Africa Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 29.3. Africa Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 29.4. Africa Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Machine Learning Market Competitive Landscape And Company Profiles

• 30.1. Machine Learning Market Competitive Landscape
• 30.2. Machine Learning Market Company Profiles
  • 30.2.1. Google Inc. Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.2. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.3. Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.4. International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.5. SAP SE Overview, Products and Services, Strategy and Financial Analysis

31. Machine Learning Market Other Major And Innovative Companies

• 31.1. Hewlett Packard Enterprise Development LP
• 31.2. Baidu Inc.
• 31.3. Intel Corporation
• 31.4. SAS Institute Inc.
• 31.5. Fair Isaac Corporation
• 31.6. Alteryx
• 31.7. Dataiku
• 31.8. H2o.AI
• 31.9. KNIME.com AG
• 31.10. Alpine Data
• 31.11. Peltarion
• 31.12. RapidMiner Inc.
• 31.13. BigML Inc.
• 31.14. Luminoso Technologies Inc.
• 31.15. Turing Analytics

32. Global Machine Learning Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Machine Learning Market

34. Recent Developments In The Machine Learning Market

35. Machine Learning Market High Potential Countries, Segments and Strategies

• 35.1 Machine Learning Market In 2029 - Countries Offering Most New Opportunities
• 35.2 Machine Learning Market In 2029 - Segments Offering Most New Opportunities
• 35.3 Machine Learning Market In 2029 - Growth Strategies
  • 35.3.1 Market Trend Based Strategies
  • 35.3.2 Competitor Strategies

36. Appendix

• 36.1. Abbreviations
• 36.2. Currencies
• 36.3. Historic And Forecast Inflation Rates
• 36.4. Research Inquiries
• 36.5. The Business Research Company
• 36.6. Copyright And Disclaimer