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人工知能工学の世界市場

Artificial Intelligence Engineering

出版日
ページ情報
英文 162 Pages
納期
即日から翌営業日
適宜更新あり
人工知能工学の世界市場
出版日: 2025年01月27日
発行: Market Glass, Inc. (Formerly Global Industry Analysts, Inc.)
ページ情報: 英文 162 Pages
納期: 即日から翌営業日
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概要

人工知能工学の世界市場は2030年までに875億米ドルに達する

2024年に157億米ドルと推定される人工知能工学の世界市場は、2024年から2030年にかけてCAGR 33.1%で成長し、2030年には875億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AIエンジニアリング・ハードウェアは、CAGR29.3%を記録し、分析期間終了時には241億米ドルに達すると予測されます。AIエンジニアリングソフトウェア分野の成長率は、分析期間でCAGR 32.8%と推定されます。

米国市場は41億米ドルと推定、中国はCAGR31.6%で成長予測

米国の人工知能工学市場は、2024年に41億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133億米ドルの市場規模に達すると予測され、分析期間2024-2030年のCAGRは31.6%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、それぞれ分析期間中に29.7%と29.1%のCAGRで成長すると予測されています。欧州では、ドイツがCAGR約23.4%で成長すると予測されています。

世界の人工知能工学市場- 主要動向と促進要因まとめ

AIエンジニアリングは技術開発をどう変革するか？

人工知能（AI）エンジニアリングは、AIシステムを大規模に構築・展開するための構造化されたアプローチを提供することで、技術開発に革命をもたらしています。従来のAI実装は、スケーラビリティ、信頼性、統合性などの問題で苦労することが多いです。AIエンジニアリングは、ソフトウェアエンジニアリングの原則とAI固有の技術を組み合わせることでこれらの課題に対処し、堅牢でスケーラブルかつ効率的なシステムの構築を保証します。このアプローチは、既存のビジネス・プロセスやテクノロジー・エコシステムへのAIのシームレスな統合を促進します。

AIエンジニアリングは、データ準備、モデル開発からデプロイメント、モニタリングに至るまで、AIシステムのライフサイクルを自動化することに重点を置いています。MLOps（Machine Learning Operations）やAIOps（Artificial Intelligence Operations）のようなツールはワークフローを合理化し、チームが複雑なAIプロジェクトをより効率的に管理できるようにします。さらに、AIエンジニアリングの実践は、説明可能性と透明性を優先し、AIモデルが効果的であるだけでなく、解釈可能で倫理基準に沿ったものであることを保証します。これらのイノベーションにより、AIエンジニアリングは先進技術開発のバックボーンとして位置づけられています。

各業界におけるAIエンジニアリングの採用の原動力とは？

スケーラブルで信頼性の高いAIソリューションに対する需要の高まりが、業界全体におけるAIエンジニアリングの採用を大きく後押ししています。企業は、大規模なデータを処理し、一貫した結果を提供できるAIシステムを実装するための体系的なアプローチの必要性をますます認識するようになっています。AIエンジニアリングは、AIを活用したソリューションの安定性と拡張性を確保するフレームワークや手法を提供することで、この需要に対応します。これは、システムの信頼性とパフォーマンスが重要な金融、ヘルスケア、製造などの業界で特に価値があります。

さらに、自然言語処理、コンピュータビジョン、ジェネレーティブAIなどのAI技術の急速な進歩は、専門的なエンジニアリングプラクティスの必要性を高めています。これらの技術には、開発、テスト、配備のための厳格なワークフローが必要であり、AIエンジニアリングはこれを提供します。また、データのプライバシー、セキュリティ、コンプライアンスがますます重視されるようになっていることも、AIエンジニアリングの需要を後押ししています。企業は、高いパフォーマンスを維持しながら規制要件を遵守するAIシステムの構築を模索しているからです。このような要因により、AIエンジニアリングは現代企業の基礎的なプラクティスとして広く採用されつつあります。

AIエンジニアリングはよりスマートなビジネスオペレーションを可能にするか？

AIエンジニアリングは、プロセスを最適化し、意思決定を強化し、イノベーションを促進することで、よりスマートなビジネス運営を可能にします。スケーラビリティと信頼性を考慮して設計されたAIシステムを導入することで、企業はリアルタイムのデータインサイト（洞察）を活用し、情報に基づいた意思決定を迅速かつ効果的に行うことができます。AIエンジニアリングの実践により、これらのシステムは適応性を維持し、変化する市場環境や消費者の需要に俊敏に対応できるようになります。

業務効率の改善に加え、AIエンジニアリングは業界全体のイノベーションを促進しています。高度なAI機能を製品やサービスに組み込むことで、企業は競争市場で差別化を図ることができます。例えば、小売業におけるAIエンジニアリング・ソリューションは、サプライチェーン・オペレーションを強化し、顧客体験をパーソナライズします。ヘルスケアでは、診断ワークフローを最適化し、患者ケアを改善します。AIシステムをシームレスに導入し、効率的に保守する能力によって、企業はAIの潜在能力を最大限に引き出し、よりスマートなオペレーションと持続的な成長を促進することができます。

AIエンジニアリング市場の成長の原動力は？

人工知能工学市場の成長は、現代のテクノロジー・エコシステムにおける重要性の高まりを反映した、いくつかの変革的要因によって牽引されています。AI技術の急速な普及と、スケーラブルで信頼性の高いAIシステムに対するニーズの高まりが、AIエンジニアリングの需要に拍車をかけています。組織は、AIイニシアティブが弾力性があり、効率的で、ビジネス目標に沿ったものであることを保証するために、AIエンジニアリングに多額の投資を行っています。

インテリジェントで適応性の高いテクノロジーに対する消費者の期待は、革新的なソリューションを大規模に提供する手段としてAIエンジニアリングの採用を企業に促しています。さらに、エッジコンピューティングとIoTデバイスの台頭により、かつてない量のデータが生成され、それを効果的に処理・分析するための高度なAIエンジニアリングフレームワークが必要とされています。透明性、データプライバシー、倫理的なAIの実践を求める規制の圧力は、組織が高いパフォーマンスを維持しながらコンプライアンス基準を満たそうと努力する中で、AIエンジニアリングの採用をさらに後押ししています。自動化およびAIライフサイクル管理ツールの進歩とともに、これらの要因が市場の飛躍的な成長を促進しており、AIエンジニアリングは世界中のデジタルトランスフォーメーション戦略の重要な要素となっています。

セグメント

コンポーネント（ハードウェア・コンポーネント、ソフトウェア・コンポーネント、サービス・コンポーネント）、テクノロジー（機械学習テクノロジー、ディープラーニング・テクノロジー、自然言語処理（NLP）テクノロジー、コンピュータ・ビジョン・テクノロジー）、エンドユース（IT＆テレコム・エンドユース、BFSIエンドユース、リテール・エンドユース、製造業エンドユース、ヘルスケア・エンドユース、その他エンドユース）

調査対象企業の例（計22社を掲載）

  • Amazon Web Services, Inc.
  • Cisco Systems, Inc.
  • DataRobot, Inc.
  • IBM Corporation
  • Intel Corporation
  • Lexalytics, Inc.
  • Microsoft Corporation
  • NVIDIA Corporation
  • Oracle Corporation
  • Siemens AG

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
  • その他欧州
  • アジア太平洋
  • その他の地域

第4章 競合

目次
Product Code: MCP29244

Global Artificial Intelligence Engineering Market to Reach US$87.5 Billion by 2030

The global market for Artificial Intelligence Engineering estimated at US$15.7 Billion in the year 2024, is expected to reach US$87.5 Billion by 2030, growing at a CAGR of 33.1% over the analysis period 2024-2030. AI Engineering Hardware, one of the segments analyzed in the report, is expected to record a 29.3% CAGR and reach US$24.1 Billion by the end of the analysis period. Growth in the AI Engineering Software segment is estimated at 32.8% CAGR over the analysis period.

The U.S. Market is Estimated at US$4.1 Billion While China is Forecast to Grow at 31.6% CAGR

The Artificial Intelligence Engineering market in the U.S. is estimated at US$4.1 Billion in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$13.3 Billion by the year 2030 trailing a CAGR of 31.6% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 29.7% and 29.1% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 23.4% CAGR.

Global Artificial Intelligence Engineering Market - Key Trends & Drivers Summarized

How Is AI Engineering Transforming Technology Development?

Artificial Intelligence (AI) engineering is revolutionizing technology development by providing a structured approach to building and deploying AI systems at scale. Traditional AI implementations often struggle with issues such as scalability, reliability, and integration. AI engineering addresses these challenges by combining software engineering principles with AI-specific techniques, ensuring the creation of robust, scalable, and efficient systems. This approach facilitates the seamless integration of AI into existing business processes and technology ecosystems.

AI engineering focuses on automating the lifecycle of AI systems, from data preparation and model development to deployment and monitoring. Tools like MLOps (Machine Learning Operations) and AIOps (Artificial Intelligence Operations) streamline workflows, enabling teams to manage complex AI projects with greater efficiency. Furthermore, AI engineering practices prioritize explainability and transparency, ensuring that AI models are not only effective but also interpretable and aligned with ethical standards. These innovations are positioning AI engineering as the backbone of advanced technology development.

What Drives the Adoption of AI Engineering Across Industries?

The growing demand for scalable and reliable AI solutions is a significant driver of AI engineering adoption across industries. Businesses are increasingly recognizing the need for a systematic approach to implementing AI systems that can handle large-scale data and deliver consistent results. AI engineering addresses this demand by providing frameworks and methodologies that ensure the stability and scalability of AI-powered solutions. This is particularly valuable in industries like finance, healthcare, and manufacturing, where system reliability and performance are critical.

Additionally, the rapid advancement of AI technologies, such as natural language processing, computer vision, and generative AI, is driving the need for specialized engineering practices. These technologies require rigorous workflows for development, testing, and deployment, which AI engineering provides. The increasing emphasis on data privacy, security, and compliance is also fueling demand for AI engineering, as organizations seek to build AI systems that adhere to regulatory requirements while maintaining high performance. These factors are encouraging widespread adoption of AI engineering as a foundational practice for modern enterprises.

Can AI Engineering Enable Smarter Business Operations?

AI engineering is enabling smarter business operations by optimizing processes, enhancing decision-making, and driving innovation. By implementing AI systems that are designed for scalability and reliability, organizations can leverage real-time data insights to make informed decisions quickly and effectively. AI engineering practices ensure that these systems remain adaptable, enabling businesses to respond to changing market conditions and consumer demands with agility.

In addition to improving operational efficiency, AI engineering is fostering innovation across industries. By integrating advanced AI capabilities into products and services, companies can differentiate themselves in competitive markets. For example, AI-engineered solutions in retail enhance supply chain operations and personalize customer experiences, while in healthcare, they optimize diagnostic workflows and improve patient care. The ability to deploy AI systems seamlessly and maintain them efficiently ensures that organizations can unlock the full potential of AI, driving smarter operations and sustained growth.

What’s Driving the Growth of the AI Engineering Market?

The growth in the Artificial Intelligence Engineering market is driven by several transformative factors, reflecting its increasing importance in modern technology ecosystems. The rapid adoption of AI technologies, combined with the growing need for scalable and reliable AI systems, is fueling demand for AI engineering practices. Organizations are investing heavily in AI engineering to ensure their AI initiatives are resilient, efficient, and aligned with business objectives.

Consumer expectations for intelligent and adaptive technologies are pushing companies to adopt AI engineering as a means of delivering innovative solutions at scale. Additionally, the rise of edge computing and IoT devices is generating unprecedented volumes of data, requiring sophisticated AI engineering frameworks to process and analyze it effectively. Regulatory pressures for transparency, data privacy, and ethical AI practices are further encouraging the adoption of AI engineering, as organizations strive to meet compliance standards while maintaining high performance. These factors, along with advancements in automation and AI lifecycle management tools, are driving the exponential growth of the market, establishing AI engineering as a critical component of digital transformation strategies worldwide.

SCOPE OF STUDY:

The report analyzes the Artificial Intelligence Engineering market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:

Component (Hardware Component, Software Component, Services Component); Technology (Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology, Computer Vision Technology); End-Use (IT & Telecom End-Use, BFSI End-Use, Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses)

Geographic Regions/Countries:

World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.

Select Competitors (Total 22 Featured) -

  • Amazon Web Services, Inc.
  • Cisco Systems, Inc.
  • DataRobot, Inc.
  • IBM Corporation
  • Intel Corporation
  • Lexalytics, Inc.
  • Microsoft Corporation
  • NVIDIA Corporation
  • Oracle Corporation
  • Siemens AG

TABLE OF CONTENTS

I. METHODOLOGY

II. EXECUTIVE SUMMARY

  • 1. MARKET OVERVIEW
    • Influencer Market Insights
    • World Market Trajectories
    • Economic Frontiers: Trends, Trials & Transformations
    • Artificial Intelligence Engineering - 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
    • Demand for AI-Driven Software Development Accelerates Adoption of Engineering Practices
    • Focus on MLOps Strengthens Business Case for Continuous AI Model Optimization
    • Rising Adoption of Cloud-Native AI Engineering Sets the Stage for Market Expansion
    • Edge AI Engineering Drives Adoption in Latency-Sensitive Applications
    • AI Engineering Bodes Well for Market Growth Amid Increased Need for AI Governance
    • Growing Complexity in AI Workflows Highlights the Case for AI Engineering Automation
    • AI Engineering Solutions Amplify Productivity in Multi-Cloud AI Deployments
    • AI Engineering Expands Opportunities for Real-Time Analytics and Decision Making
    • Integration of AI and DevOps (AIOps) Sets the Stage for Market Growth
    • AI Engineering for Automated Testing Bodes Well for Improving Model Accuracy
    • Emerging Need for Explainable AI Strengthens Market for Transparent AI Engineering
  • 4. GLOBAL MARKET PERSPECTIVE
    • TABLE 1: World Artificial Intelligence Engineering Market Analysis of Annual Sales in US$ Million for Years 2015 through 2030
    • TABLE 2: World Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 3: World 6-Year Perspective for Artificial Intelligence Engineering by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets for Years 2025 & 2030
    • TABLE 4: World Recent Past, Current & Future Analysis for Hardware Component by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 5: World 6-Year Perspective for Hardware Component by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 6: World Recent Past, Current & Future Analysis for Software Component by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 7: World 6-Year Perspective for Software Component by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 8: World Recent Past, Current & Future Analysis for Services Component by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 9: World 6-Year Perspective for Services Component by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 10: World Recent Past, Current & Future Analysis for Retail End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 11: World 6-Year Perspective for Retail End-Use by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 12: World Recent Past, Current & Future Analysis for Manufacturing End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 13: World 6-Year Perspective for Manufacturing End-Use by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 14: World Recent Past, Current & Future Analysis for Healthcare End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 15: World 6-Year Perspective for Healthcare End-Use by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 16: World Recent Past, Current & Future Analysis for Other End-Uses by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 17: World 6-Year Perspective for Other End-Uses by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 18: World Recent Past, Current & Future Analysis for IT & Telecom End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 19: World 6-Year Perspective for IT & Telecom End-Use by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 20: World Recent Past, Current & Future Analysis for BFSI End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 21: World 6-Year Perspective for BFSI End-Use by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 22: World Recent Past, Current & Future Analysis for Machine Learning Technology by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 23: World 6-Year Perspective for Machine Learning Technology by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 24: World Recent Past, Current & Future Analysis for Deep Learning Technology by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 25: World 6-Year Perspective for Deep Learning Technology by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 26: World Recent Past, Current & Future Analysis for Natural Language Processing (NLP) Technology by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 27: World 6-Year Perspective for Natural Language Processing (NLP) Technology by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 28: World Recent Past, Current & Future Analysis for Computer Vision Technology by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 29: World 6-Year Perspective for Computer Vision Technology by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030

III. MARKET ANALYSIS

  • UNITED STATES
    • Artificial Intelligence Engineering Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United States for 2025 (E)
    • TABLE 30: USA Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Component - Hardware Component, Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 31: USA 6-Year Perspective for Artificial Intelligence Engineering by Component - Percentage Breakdown of Value Sales for Hardware Component, Software Component and Services Component for the Years 2025 & 2030
    • TABLE 32: USA Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by End-Use - Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 33: USA 6-Year Perspective for Artificial Intelligence Engineering by End-Use - Percentage Breakdown of Value Sales for Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use for the Years 2025 & 2030
    • TABLE 34: USA Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Technology - Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 35: USA 6-Year Perspective for Artificial Intelligence Engineering by Technology - Percentage Breakdown of Value Sales for Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology for the Years 2025 & 2030
  • CANADA
    • TABLE 36: Canada Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Component - Hardware Component, Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 37: Canada 6-Year Perspective for Artificial Intelligence Engineering by Component - Percentage Breakdown of Value Sales for Hardware Component, Software Component and Services Component for the Years 2025 & 2030
    • TABLE 38: Canada Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by End-Use - Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 39: Canada 6-Year Perspective for Artificial Intelligence Engineering by End-Use - Percentage Breakdown of Value Sales for Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use for the Years 2025 & 2030
    • TABLE 40: Canada Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Technology - Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 41: Canada 6-Year Perspective for Artificial Intelligence Engineering by Technology - Percentage Breakdown of Value Sales for Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology for the Years 2025 & 2030
  • JAPAN
    • Artificial Intelligence Engineering Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Japan for 2025 (E)
    • TABLE 42: Japan Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Component - Hardware Component, Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 43: Japan 6-Year Perspective for Artificial Intelligence Engineering by Component - Percentage Breakdown of Value Sales for Hardware Component, Software Component and Services Component for the Years 2025 & 2030
    • TABLE 44: Japan Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by End-Use - Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 45: Japan 6-Year Perspective for Artificial Intelligence Engineering by End-Use - Percentage Breakdown of Value Sales for Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use for the Years 2025 & 2030
    • TABLE 46: Japan Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Technology - Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 47: Japan 6-Year Perspective for Artificial Intelligence Engineering by Technology - Percentage Breakdown of Value Sales for Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology for the Years 2025 & 2030
  • CHINA
    • Artificial Intelligence Engineering Market Presence - Strong/Active/Niche/Trivial - Key Competitors in China for 2025 (E)
    • TABLE 48: China Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Component - Hardware Component, Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 49: China 6-Year Perspective for Artificial Intelligence Engineering by Component - Percentage Breakdown of Value Sales for Hardware Component, Software Component and Services Component for the Years 2025 & 2030
    • TABLE 50: China Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by End-Use - Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 51: China 6-Year Perspective for Artificial Intelligence Engineering by End-Use - Percentage Breakdown of Value Sales for Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use for the Years 2025 & 2030
    • TABLE 52: China Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Technology - Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 53: China 6-Year Perspective for Artificial Intelligence Engineering by Technology - Percentage Breakdown of Value Sales for Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology for the Years 2025 & 2030
  • EUROPE
    • Artificial Intelligence Engineering Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Europe for 2025 (E)
    • TABLE 54: Europe Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Geographic Region - France, Germany, Italy, UK and Rest of Europe Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 55: Europe 6-Year Perspective for Artificial Intelligence Engineering by Geographic Region - Percentage Breakdown of Value Sales for France, Germany, Italy, UK and Rest of Europe Markets for Years 2025 & 2030
    • TABLE 56: Europe Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Component - Hardware Component, Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 57: Europe 6-Year Perspective for Artificial Intelligence Engineering by Component - Percentage Breakdown of Value Sales for Hardware Component, Software Component and Services Component for the Years 2025 & 2030
    • TABLE 58: Europe Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by End-Use - Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 59: Europe 6-Year Perspective for Artificial Intelligence Engineering by End-Use - Percentage Breakdown of Value Sales for Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use for the Years 2025 & 2030
    • TABLE 60: Europe Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Technology - Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 61: Europe 6-Year Perspective for Artificial Intelligence Engineering by Technology - Percentage Breakdown of Value Sales for Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology for the Years 2025 & 2030
  • FRANCE
    • Artificial Intelligence Engineering Market Presence - Strong/Active/Niche/Trivial - Key Competitors in France for 2025 (E)
    • TABLE 62: France Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Component - Hardware Component, Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 63: France 6-Year Perspective for Artificial Intelligence Engineering by Component - Percentage Breakdown of Value Sales for Hardware Component, Software Component and Services Component for the Years 2025 & 2030
    • TABLE 64: France Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by End-Use - Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 65: France 6-Year Perspective for Artificial Intelligence Engineering by End-Use - Percentage Breakdown of Value Sales for Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use for the Years 2025 & 2030
    • TABLE 66: France Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Technology - Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 67: France 6-Year Perspective for Artificial Intelligence Engineering by Technology - Percentage Breakdown of Value Sales for Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology for the Years 2025 & 2030
  • GERMANY
    • Artificial Intelligence Engineering Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Germany for 2025 (E)
    • TABLE 68: Germany Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Component - Hardware Component, Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 69: Germany 6-Year Perspective for Artificial Intelligence Engineering by Component - Percentage Breakdown of Value Sales for Hardware Component, Software Component and Services Component for the Years 2025 & 2030
    • TABLE 70: Germany Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by End-Use - Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 71: Germany 6-Year Perspective for Artificial Intelligence Engineering by End-Use - Percentage Breakdown of Value Sales for Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use for the Years 2025 & 2030
    • TABLE 72: Germany Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Technology - Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 73: Germany 6-Year Perspective for Artificial Intelligence Engineering by Technology - Percentage Breakdown of Value Sales for Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology for the Years 2025 & 2030
  • ITALY
    • TABLE 74: Italy Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Component - Hardware Component, Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 75: Italy 6-Year Perspective for Artificial Intelligence Engineering by Component - Percentage Breakdown of Value Sales for Hardware Component, Software Component and Services Component for the Years 2025 & 2030
    • TABLE 76: Italy Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by End-Use - Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 77: Italy 6-Year Perspective for Artificial Intelligence Engineering by End-Use - Percentage Breakdown of Value Sales for Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use for the Years 2025 & 2030
    • TABLE 78: Italy Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Technology - Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 79: Italy 6-Year Perspective for Artificial Intelligence Engineering by Technology - Percentage Breakdown of Value Sales for Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology for the Years 2025 & 2030
  • UNITED KINGDOM
    • Artificial Intelligence Engineering Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United Kingdom for 2025 (E)
    • TABLE 80: UK Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Component - Hardware Component, Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 81: UK 6-Year Perspective for Artificial Intelligence Engineering by Component - Percentage Breakdown of Value Sales for Hardware Component, Software Component and Services Component for the Years 2025 & 2030
    • TABLE 82: UK Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by End-Use - Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 83: UK 6-Year Perspective for Artificial Intelligence Engineering by End-Use - Percentage Breakdown of Value Sales for Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use for the Years 2025 & 2030
    • TABLE 84: UK Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Technology - Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 85: UK 6-Year Perspective for Artificial Intelligence Engineering by Technology - Percentage Breakdown of Value Sales for Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology for the Years 2025 & 2030
  • REST OF EUROPE
    • TABLE 86: Rest of Europe Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Component - Hardware Component, Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 87: Rest of Europe 6-Year Perspective for Artificial Intelligence Engineering by Component - Percentage Breakdown of Value Sales for Hardware Component, Software Component and Services Component for the Years 2025 & 2030
    • TABLE 88: Rest of Europe Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by End-Use - Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 89: Rest of Europe 6-Year Perspective for Artificial Intelligence Engineering by End-Use - Percentage Breakdown of Value Sales for Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use for the Years 2025 & 2030
    • TABLE 90: Rest of Europe Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Technology - Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 91: Rest of Europe 6-Year Perspective for Artificial Intelligence Engineering by Technology - Percentage Breakdown of Value Sales for Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology for the Years 2025 & 2030
  • ASIA-PACIFIC
    • Artificial Intelligence Engineering Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Asia-Pacific for 2025 (E)
    • TABLE 92: Asia-Pacific Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Component - Hardware Component, Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 93: Asia-Pacific 6-Year Perspective for Artificial Intelligence Engineering by Component - Percentage Breakdown of Value Sales for Hardware Component, Software Component and Services Component for the Years 2025 & 2030
    • TABLE 94: Asia-Pacific Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by End-Use - Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 95: Asia-Pacific 6-Year Perspective for Artificial Intelligence Engineering by End-Use - Percentage Breakdown of Value Sales for Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use for the Years 2025 & 2030
    • TABLE 96: Asia-Pacific Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Technology - Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 97: Asia-Pacific 6-Year Perspective for Artificial Intelligence Engineering by Technology - Percentage Breakdown of Value Sales for Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology for the Years 2025 & 2030
  • REST OF WORLD
    • TABLE 98: Rest of World Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Component - Hardware Component, Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 99: Rest of World 6-Year Perspective for Artificial Intelligence Engineering by Component - Percentage Breakdown of Value Sales for Hardware Component, Software Component and Services Component for the Years 2025 & 2030
    • TABLE 100: Rest of World Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by End-Use - Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 101: Rest of World 6-Year Perspective for Artificial Intelligence Engineering by End-Use - Percentage Breakdown of Value Sales for Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use for the Years 2025 & 2030
    • TABLE 102: Rest of World Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Technology - Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 103: Rest of World 6-Year Perspective for Artificial Intelligence Engineering by Technology - Percentage Breakdown of Value Sales for Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology for the Years 2025 & 2030

IV. COMPETITION