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市場調查報告書

企業、應用人工智能 (AI) - 深度學習,機器學習,自然語言處理,電腦視覺,機器推理,「強的AI」:全球市場的分析與預測

Artificial Intelligence for Enterprise Applications - Deep Learning, Machine Learning, Natural Language Processing, Computer Vision, Machine Reasoning and Strong AI: Global Market Analysis and Forecasts

出版商 Tractica 商品編碼 328668
出版日期 內容資訊 英文 169 Pages; 144 Tables, Charts & Figures
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企業、應用人工智能 (AI) - 深度學習,機器學習,自然語言處理,電腦視覺,機器推理,「強的AI」:全球市場的分析與預測 Artificial Intelligence for Enterprise Applications - Deep Learning, Machine Learning, Natural Language Processing, Computer Vision, Machine Reasoning and Strong AI: Global Market Analysis and Forecasts
出版日期: 2016年09月06日 內容資訊: 英文 169 Pages; 144 Tables, Charts & Figures
簡介

人工智能 (以下AI) 近幾年急速成為全球各地企業經營者大幅關注的東西。AI是為了讓電腦與人類有同樣的感覺、思考、學習能力的技術,不過,在部分領域凌駕人類的能力,,尤其是可迅速、正確、效率性地處理大量的資料。AI企業的投資急劇擴大,另一方面AI的演算法的開發也高速進行。企業AI的市場規模,2016年預計達3億5800萬美元,2025年達312億美元,以64.3%年複合成長率 (CAGR) 成長。

本報告提供企業用用途 (企業、應用)的人工智能 (AI) 市場現況與未來展望相關分析,AI的技術性概要和主要的功能,目前的普及、活用狀況,整體市場規模預測 (今後10年份),各產業、技術內容的詳細趨勢,今後的技術、市場方向性,主要企業簡介 (30家公司以上) 等調查評估。

第1章 摘要整理

  • 簡介
  • 推動市場要素
  • 市場阻礙因素
  • 技術
  • 市場預測

第2章 市場課題

  • 推動市場要素
    • 資料集的大規模化
    • 機器學習的演算法的大幅度改善
    • 硬體設備的進步
    • 技術能力的連鎖
  • 市場阻礙因素
    • 「宣傳過多」與「過於高估」
    • 非現實性的期待
    • 社會矛盾
    • 社會的排斥
    • 正確的資料的必要性
    • 還未成熟的神經科學
    • 積累經驗的人力資源不足
    • 結論
  • 市場有效利用與新的經營模式
    • 經營模式
  • 主要產業:AI的主要的有效利用方法、需求,使用案例
    • 廣告
    • 航太
    • 農業
    • 建築自動化
    • 商務
    • 教育
    • 流行
    • 金融
    • 遊戲
    • 政府機關
    • 醫療
    • IT
    • 投資
    • 法務
    • 生命科學
    • 物流
    • 製造業
    • 媒體、娛樂
    • 石油、天然氣、礦業
    • 不動產
    • 零售業
    • 不動產
    • 運動、健身
    • 電訊

第3章 技術課題

  • 人工智能 (AI)的定義
  • AI的冬天和復興期
  • AI的詳細的說明
  • 機器學習
  • 深度學習
  • 自然語言處理
  • 電腦版
  • 機器推理
  • 「強的AI」
  • 在遊戲領域的演進
    • 圍棋的情況
    • 跟遊戲的實用的相關性
  • 機器學習的歷史
  • 深層學習的歷史
  • 機器學習和深層學習的差異
  • 結構化資料/非結構資料
  • 有教師學習/無教師學習
  • 「既知的事實」和「未知的事實」
  • 機器學習的案例
  • 深度學習的案例
  • 自然語言處理
    • 虛擬援助功能的優勢
      • Amazon Alexa Voice Service
      • Apple Siri
      • Baidu Duer
      • Facebook Moneypenny
      • Microsoft Cortana
      • Google Now
      • 市場推動因素相關的理解
  • 語音辨識
  • 電腦視覺
  • 機器推理
  • 預測的API
  • 感測器
  • 本報告分析範圍外的技術 (航空電子學等)
  • 今後的方向性
    • 市場新趨勢
    • 整備與回復
    • AI不適合解決某些問題
    • 影響度的擴大

第4章 主要打入市場企業

  • IBM
  • Microsoft
  • Facebook
  • Google
  • Baidu
  • NVIDIA
  • Rocket Fuel
  • Dstillery
  • Prism Skylabs
  • Continental AG
  • Tesla Motors
  • Mobileye
  • Lending Club
  • Kabbage
  • Coursera
  • Knewton
  • Bloomberg
  • FinGenius
  • Medtronic
  • Apple
  • Intel
  • 日本電氣
  • Qualcomm
  • Salesforce
  • DataMinr
  • Roche Holding AG
  • Cognitive Scale
  • Declara
  • AiCure
  • Sailthru

第5章 市場預測

  • 預測手法
  • 全球AI市場未來預測
  • 企業AI的市場收益額:各產業
  • 企業AI的市場收益額:各技術
  • AI相關的市場收益額
    • AI相關服務
      • 安裝服務
      • 訓練
      • 客製化服務
      • 應用整合服務
      • 整備、支援服務
    • AI相關硬體設備
      • 雲端
      • GPU晶片
      • 電腦
      • 網路產品
      • 儲存設備
  • AI市場收益額:各產業
    • 廣告
    • 航太
    • 農業
    • 汽車
    • 建築自動化
    • 商務
    • 教育
    • 流行
    • 金融
    • 遊戲
    • 政府機關
    • 醫療
    • IT
    • 投資
    • 法務
    • 生命科學
    • 物流
    • 製造業
    • 媒體、娛樂
    • 石油、天然氣、礦業
    • 不動產
    • 零售業
    • 運動、健身
    • 通訊
    • 運輸
  • AI市場收益額:各技術
    • 機器學習
    • 深度學習
    • 自然語言處理
    • 電腦版
    • 機器推理
    • 「強的AI」

第6章 結論與建議

  • 主要的分析結果
  • 潛在的客戶建議
  • 對技術供應商的建議
  • 結論

第7章 企業一覽

第8章 簡稱、首字母縮略詞

第9章 目錄

第10章 圖表一覽

第11章 分析範圍、資訊來源、分析方法、註記

圖表一覽

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目錄
Product Code: AIE-16

Artificial intelligence (AI) technologies are quickly gaining mindshare among corporate executives around the world, driving a proliferation of use cases that touch virtually every industry. AI technologies, which include deep learning, machine learning, natural language processing (NLP), and computer vision, among others, are designed to endow computers with human-like faculties such as hearing, seeing, reasoning, and learning. But AI enables computers to do some things better than humans, especially when it comes to processing very large amounts of data quickly, efficiently, and accurately.

Investment is flowing rapidly into the development of AI technologies, both at the startup level as well as within some of the world's4 leading technology companies. Meanwhile, innovation in AI algorithms is progressing at a breakneck pace and industry players are scrambling to determine the optimal platforms to deliver AI-enabled services on a cost-effective basis across an ever-expanding set of use cases. Tractica's analysis has identified nearly 200 real-world enterprise use cases for AI that are classified into 25 industry sectors. The firm forecasts that revenue for enterprise AI applications will increase from $358 million in 2016 to $31.2 billion by 2025, representing a compound annual growth rate (CAGR) of 64.3%.

This Tractica report provides an in-depth analysis of the market dynamics surrounding the growth of artificial intelligence for enterprise markets including an assessment of market drivers and challenges, business models, use cases, technology issues, and the competitive landscape. Technologies covered by the study include machine learning, deep learning, natural language processing, computer vision, machine reasoning, and strong AI. Market sizing and revenue forecasts cover the period from 2016 through 2025 and are segmented by six technology areas, five world regions, and 25 industry sectors. The study also includes detailed profiles of more than 30 key industry players.

Key Questions Addressed:

  • What are the key use cases for AI within each industry sector?
  • What business models are being utilized for the deployment of AI in enterprise environments?
  • What are the key barriers to adoption of AI technologies?
  • What is the mix of AI technologies likely to be during the next decade?
  • Who are the key industry players in AI and what are their key areas of strategic focus?
  • How will enterprise AI adoption vary across different world regions?

Who Needs This Report?

  • Enterprise software companies
  • Semiconductor and component manufacturers
  • Service providers and systems integrators
  • Enterprise organizations deploying AI solutions
  • Industry organizations
  • Government agencies
  • Investor community

Table of Contents

1. Executive Summary

  • 1.1. Introduction
  • 1.2. Market Drivers
  • 1.3. Market Barriers
  • 1.4. Technologies
  • 1.5. Market Forecast

2. Market Issues

  • 2.1. Market Drivers
    • 2.1.1. Larger Data Sets
    • 2.1.2. Significant Improvement in Machine Learning Algorithms
    • 2.1.3. Advances in Hardware
    • 2.1.4. Alignment of Technological Capabilities
  • 2.2. Market Barriers
    • 2.2.1. Over-Hyped and Over-Sold
    • 2.2.2. Unrealistic Expectations
    • 2.2.3. Social Controversy
    • 2.2.4. Societal Backlash
    • 2.2.5. Need for Accurate Data
    • 2.2.6. The Infancy of Neuroscience
    • 2.2.7. Lack of Experienced Talent
    • 2.2.8. Market Barrier Conclusions
  • 2.3. Monetization and New Business Models
    • 2.3.1. Business Models
  • 2.4. Key Industries
    • 2.4.1. Advertising
      • 2.4.1.1. Static Image Recognition, Classification, and Tagging Use Case
      • 2.4.1.1.1. Why There Is a Need
      • 2.4.1.1.2. How It Works
      • 2.4.1.1.3. Benefits
      • 2.4.1.1.4. Challenges
      • 2.4.1.2. Advertising Use Cases
    • 2.4.2. Aerospace
      • 2.4.2.1. Collision Avoidance for Drones Case Study
      • 2.4.2.1.1. Why There Is a Need
      • 2.4.2.1.2. How It Works
      • 2.4.2.1.3. Benefits
      • 2.4.2.1.4. Potential Problems
      • 2.4.2.2. Aerospace Use Cases
    • 2.4.3. Agriculture
      • 2.4.3.1. Agricultural Crop Health Analysis Case Studies
      • 2.4.3.1.1. Why There Is a Need
      • 2.4.3.1.2. How It Works
      • 2.4.3.1.3. Benefits
      • 2.4.3.1.4. Challenges
      • 2.4.3.2. Agricultural Use Cases
    • 2.4.4. Automotive
      • 2.4.4.1. Contextual Awareness for Autonomous Vehicles
      • 2.4.4.1.1. Why There Is a Need
      • 2.4.4.1.2. How It Works
      • 2.4.4.1.3. Benefits
      • 2.4.4.1.4. Potential Problems
      • 2.4.4.2. Automotive Use Cases
    • 2.4.5. Building Automation
      • 2.4.5.1. BuildingIQ Case Study
      • 2.4.5.1.1. Why There Is a Need
      • 2.4.5.1.2. How It Works
      • 2.4.5.1.3. Benefits
      • 2.4.5.1.4. Potential Problems
      • 2.4.5.2. Building Automation Use Cases
    • 2.4.6. Business
      • 2.4.6.1. Signpost Case Study
      • 2.4.6.2. Business Use Cases
    • 2.4.7. Education
      • 2.4.7.1. VerbumWare Case Study
      • 2.4.7.2. Education Use Cases
    • 2.4.8. Fashion
      • 2.4.8.1. Edited Fashion Case Study
      • 2.4.8.2. Fashion Use Cases
    • 2.4.9. Finance
      • 2.4.9.1. Kensho Case Study
      • 2.4.9.2. Finance Use Cases
    • 2.4.10. Gaming
      • 2.4.10.1. Go Championship Case Study
      • 2.4.10.2. Gaming Use Cases
    • 2.4.11. Government
      • 2.4.11.1. Enfield Borough Case Study
    • 2.4.12. Healthcare
      • 2.4.12.1. Digital Radiology Analysis Case Study
      • 2.4.12.1.1. Why There Is a Need
      • 2.4.12.1.2. How It Works
      • 2.4.12.1.3. Benefits
      • 2.4.12.1.4. Challenges
      • 2.4.12.2. Healthcare Use Cases
    • 2.4.13. Information Technology
      • 2.4.13.1. IBM Watson Cognitive Storage Case Study
      • 2.4.13.2. Information Technology Use Cases
    • 2.4.14. Investment
      • 2.4.14.1. Euclidean Technologies Case Study
    • 2.4.15. Legal
      • 2.4.15.1. Lex Machina Case Study
      • 2.4.15.2. Legal Use Cases
    • 2.4.16. Life Sciences
      • 2.4.16.1. Alzheimer's Case Study
      • 2.4.16.2. Why There Is a Need
      • 2.4.16.3. How It Works
      • 2.4.16.4. Benefits
      • 2.4.16.5. Challenges
    • 2.4.17. Logistics
      • 2.4.17.1. DHL Logistics Case Studies
    • 2.4.18. Manufacturing
      • 2.4.18.1. Industrial Automation Quality Assurance Case Study
      • 2.4.18.1.1. Why There Is a Need
      • 2.4.18.1.2. How It Works
      • 2.4.18.1.3. Benefits
      • 2.4.18.1.4. Challenges
      • 2.4.18.2. Manufacturing Use Cases
    • 2.4.19. Media & Entertainment
      • 2.4.19.1. Automated News Story Case Study
      • 2.4.19.1.1. Why There Is a Need
      • 2.4.19.1.2. How It Works
      • 2.4.19.1.3. Benefits
      • 2.4.19.1.4. Challenges
      • 2.4.19.2. Media and Entertainment Use Cases
    • 2.4.20. Oil, Gas, and Mining
      • 2.4.20.1. AI Refinery Operations Case Study
      • 2.4.20.2. Oil, Gas, and Mining Use Cases
    • 2.4.21. Real Estate
      • 2.4.21.1. Commercial Real Estate Development Case Study
      • 2.4.21.2. Real Estate Use Cases
    • 2.4.22. Retail
      • 2.4.22.1. Clothes and Accessories Sizing and Fitting Case Study
      • 2.4.22.1.1. Why There Is a Need
      • 2.4.22.1.2. How It Works
      • 2.4.22.1.3. Benefits
      • 2.4.22.1.4. Challenges
      • 2.4.22.2. Retail Use Cases
    • 2.4.23. Sports and Fitness
      • 2.4.23.1. Professional Sports Outcome Prediction Case Study
      • 2.4.23.2. Sports Use Cases
    • 2.4.24. Telecommunications
      • 2.4.24.1. Communications Network Design Case Study
    • 2.4.25. Transportation
      • 2.4.25.1. Railway Car Wheel Health Case Study

3. Technology Issues

  • 3.1. Definition of Artificial Intelligence
  • 3.2. AI Winters and Renaissance
  • 3.3. A High-Level Description of AI
  • 3.4. Machine Learning
  • 3.5. Deep Learning
  • 3.6. Natural Language Processing
  • 3.7. Computer Vision
  • 3.8. Machine Reasoning
  • 3.9. Strong AI
  • 3.10. Progress in Games
    • 3.10.1. Go
    • 3.10.2. What Is Go?
    • 3.10.3. Commercial Relevance to Games
  • 3.11. History of Machine Learning
  • 3.12. History of Deep Learning
  • 3.13. The Difference between Machine Learning and Deep Learning
  • 3.14. Structured Data versus Unstructured Data
  • 3.15. Supervised versus Unsupervised Learning
  • 3.16. Known Knowledge versus Unknown Knowledge
  • 3.17. An Example of Machine Learning
  • 3.18. An Example of Deep Learning
  • 3.19. Natural Language Processing
    • 3.19.1. Virtual Assistants Are the High Ground
      • 3.19.1.1. Amazon Alexa Voice Service
      • 3.19.1.2. Apple Siri
      • 3.19.1.3. Baidu Duer
      • 3.19.1.4. Facebook Moneypenny
      • 3.19.1.5. Microsoft Cortana
      • 3.19.1.6. Google Now
      • 3.19.1.7. Understanding What Will Drive the Market from Here
  • 3.20. Speech Recognition
  • 3.21. Computer Vision
  • 3.22. Machine Reasoning
  • 3.23. Predictive APIs
  • 3.24. Sensors
  • 3.25. Technologies Not Considered in This Report
    • 3.25.1. Avionics
  • 3.26. Future Directions
    • 3.26.1. The Next Wave
    • 3.26.2. Maintenance and Recovery
    • 3.26.3. AI is Not Suitable for Some Kinds of Problems
    • 3.26.4. The Larger Impact

4. Key Industry Players

  • 4.1. IBM
  • 4.2. Microsoft
  • 4.3. Facebook
  • 4.4. Google
  • 4.5. Baidu
  • 4.6. NVIDIA
  • 4.7. Rocket Fuel
  • 4.8. Dstillery
  • 4.9. Prism Skylabs
  • 4.10. Continental AG
  • 4.11. Tesla Motors
  • 4.12. Mobileye
  • 4.13. Lending Club
  • 4.14. Kabbage
  • 4.15. Coursera
  • 4.16. Knewton
  • 4.17. Bloomberg
  • 4.18. FinGenius
  • 4.19. Medtronic
  • 4.20. Apple
  • 4.21. Intel
  • 4.22. NEC
  • 4.23. Qualcomm
  • 4.24. Salesforce
  • 4.25. DataMinr
  • 4.26. Roche Holding AG
  • 4.27. Cognitive Scale
  • 4.28. Declara
  • 4.29. AiCure
  • 4.30. Sailthru

5. Market Forecasts

  • 5.1. Forecast Methodology
  • 5.2. Global AI Market Forecasts
  • 5.3. Enterprise AI Revenue by Industry
  • 5.4. Enterprise AI Revenue by Technology
  • 5.5. AI-Driven Revenue Streams
    • 5.5.1. AI-Driven Services
      • 5.5.1.1. AI-Driven Installation Services
      • 5.5.1.2. AI-Driven Training
      • 5.5.1.3. AI-Driven Customization Services
      • 5.5.1.4. AI-Driven Application Integration Services
      • 5.5.1.5. AI-Driven Maintenance and Support Services
    • 5.5.2. AI-Driven Hardware Revenue
      • 5.5.2.1. AI-Driven Cloud Revenue
      • 5.5.2.2. AI-Driven GPU Chip Revenue
      • 5.5.2.3. AI-Driven CPU Revenue
      • 5.5.2.4. AI-Driven Network Product Revenue
      • 5.5.2.5. AI-Driven Storage Device Revenue
  • 5.6. AI Revenue by Industry Segment
    • 5.6.1. AI in the Advertising Industry
    • 5.6.2. AI in the Aerospace Industry
    • 5.6.3. AI in the Agriculture Industry
    • 5.6.4. AI in the Automotive Industry
    • 5.6.5. AI in the Building Automation Industry
    • 5.6.6. AI in Business
    • 5.6.7. AI in the Education Industry
    • 5.6.8. AI in the Fashion Industry
    • 5.6.9. AI in the Finance Industry
    • 5.6.10. AI in the Gaming Industry
    • 5.6.11. AI in Government
    • 5.6.12. AI in the Healthcare Industry
    • 5.6.13. AI in the Information Technology Industry
    • 5.6.14. AI in the Investment Industry
    • 5.6.15. AI in the Legal Industry
    • 5.6.16. AI in the Life Sciences Industry
    • 5.6.17. AI in the Logistics Industry
    • 5.6.18. AI in the Manufacturing Industry
    • 5.6.19. AI in the Media & Entertainment Industry
    • 5.6.20. AI in the Oil, Gas, and Mining Industry
    • 5.6.21. AI in the Real Estate Industry
    • 5.6.22. AI in the Retail Industry
    • 5.6.23. AI in the Sports and Fitness Industry
    • 5.6.24. AI in the Telecommunications Industry
    • 5.6.25. AI in the Transportation Industry
  • 5.7. AI Revenue Forecasts by Technology
    • 5.7.1. Machine Learning
    • 5.7.2. Deep Learning
    • 5.7.3. Natural Language Processing
    • 5.7.4. Computer Vision
    • 5.7.5. Machine Reasoning
    • 5.7.6. Strong AI

6. Recommendations and Conclusion

  • 6.1. Key Findings
  • 6.2. Recommendations for Potential Customers
  • 6.3. Recommendations for Technology Vendors
  • 6.4. Conclusion

7. Company Directory

8. Acronym and Abbreviation List

9. Table of Contents

10. Table of Charts and Figures

11. Scope of Study, Sources and Methodology, Notes

Tables

  • Enterprise AI Revenue by Region, World Markets: 2016-2025
  • Enterprise AI Revenue by Industry, World Markets: 2016-2025
  • Enterprise AI Revenue in the Advertising Industry by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in the Aerospace Industry by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in the Agriculture Industry by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in the Automotive Industry by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in the Building Automation Industry by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in Business by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in the Education Industry by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in the Fashion Industry by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in the Finance Industry by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in the Gaming Industry by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in Government by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in the Healthcare Industry by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in the Information Technology Industry by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in the Investment Industry by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in the Legal Industry by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in the Life Sciences Industry by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in the Logistics Industry by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in the Manufacturing Industry by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in the Media & Entertainment Industry by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in the Oil, Gas & Mining Industry by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in the Real Estate Industry by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in the Retail Industry by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in the Sports and Fitness Industry by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in the Telecommunications Industry by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in the Transportation Industry by Region, World Markets: 2016-2025
  • Enterprise AI Revenue by Technology, World Markets: 2016-2025
  • Enterprise Machine Learning Revenue by Region, World Markets: 2016-2025
  • Enterprise Deep Learning Revenue by Region, World Markets: 2016-2025
  • Enterprise Natural Language Processing Revenue by Region, World Markets: 2016-2025
  • Enterprise Computer Vision Revenue by Region, World Markets: 2016-2025
  • Enterprise Machine Reasoning Revenue by Region, World Markets: 2016-2025
  • Enterprise Strong AI Revenue by Region, World Markets: 2016-2025
  • Enterprise AI Revenue by Region and Technology, World Markets: 2016-2025
  • Enterprise AI Revenue in the Advertising Industry by Region and Technology, World Markets: 2016-2025
  • Enterprise AI Revenue in the Aerospace Industry by Region and Technology, World Markets: 2016-2025
  • Enterprise AI Revenue in the Agriculture Industry by Region and Technology, World Markets: 2016-2025
  • Enterprise AI Revenue in the Automotive Industry by Region and Technology, World Markets: 2016-2025
  • Enterprise AI Revenue in the Building Automation Industry by Region and Technology, World Markets: 2016-2025
  • Enterprise AI Revenue in Business by Region and Technology, World Markets: 2016-2025
  • Enterprise AI Revenue in the Education Industry by Region and Technology, World Markets: 2016-2025
  • Enterprise AI Revenue in the Fashion Industry by Region and Technology, World Markets: 2016-2025
  • Enterprise AI Revenue in the Finance Industry by Region and Technology, World Markets: 2016-2025
  • Enterprise AI Revenue in the Gaming Industry by Region and Technology, World Markets: 2016-2025
  • Enterprise AI Revenue in Government by Region and Technology, World Markets: 2016-2025
  • Enterprise AI Revenue in the Healthcare Industry by Region and Technology, World Markets: 2016-2025
  • Enterprise AI Revenue in the Information Technology Industry by Region and Technology, World Markets: 2016-2025
  • Enterprise AI Revenue in the Investment Industry by Region and Technology, World Markets: 2016-2025
  • Enterprise AI Revenue in the Legal Industry by Region and Technology, World Markets: 2016-2025
  • Enterprise AI Revenue in the Life Sciences Industry by Region and Technology, World Markets: 2016-2025
  • Enterprise AI Revenue in the Logistics Industry by Region and Technology, World Markets: 2016-2025
  • Enterprise AI Revenue in the Manufacturing Industry by Region and Technology, World Markets: 2016-2025
  • Enterprise AI Revenue in the Media & Entertainment Industry by Region and Technology, World Markets: 2016-2025
  • Enterprise AI Revenue in the Oil, Gas & Mining Industry by Region and Technology, World Markets: 2016-2025
  • Enterprise AI Revenue in the Real Estate Industry by Region and Technology, World Markets: 2016-2025
  • Enterprise AI Revenue in the Retail Industry by Region and Technology, World Markets: 2016-2025
  • Enterprise AI Revenue in the Sports and Fitness Industry by Region and Technology, World Markets: 2016-2025
  • Enterprise AI Revenue in the Telecommunications Industry by Region and Technology, World Markets: 2016-2025
  • Enterprise AI Revenue in the Transportation Industry by Region and Technology, World Markets: 2016-2025
  • Enterprise AI-Driven Hardware Revenue by Technology Category, World Markets: 2016-2025
  • Enterprise AI-Driven Cloud Revenue by Region, World Markets: 2016-2025
  • Enterprise AI-Driven CPU Revenue by Region, World Markets: 2016-2025
  • Enterprise AI-Driven GPU Chip Revenue by Region, World Markets: 2016-2025
  • Enterprise AI-Driven Network Product Revenue by Region, World Markets: 2016-2025
  • Enterprise AI-Driven Storage Device Revenue by Region, World Markets: 2016-2025
  • Enterprise AI-Driven Services Revenue by Service Category, World Markets: 2016-2025
  • Enterprise AI-Driven Installation Services Revenue by Region, World Markets: 2016-2025
  • Enterprise AI-Driven Training Revenue by Region, World Markets: 2016-2025
  • Enterprise AI-Driven Customization Revenue by Region, World Markets: 2016-2025
  • Enterprise AI-Driven Application Integration Services Revenue by Region, World Markets: 2016-2025
  • Enterprise AI-Driven Maintenance and Support Services Revenue by Region, World Markets: 2016-2025
  • IBM 701 Translator
  • Advertising Use Cases
  • Aerospace Use Cases
  • Agricultural Use Cases
  • Automotive Use Cases
  • Building Automation Use Cases
  • Business Use Cases
  • Education Use Cases
  • Fashion Use Cases
  • Finance Use Cases
  • Gaming Use Cases
  • Healthcare Use Cases
  • Information Technology Use Cases
  • Investment Use Cases
  • Legal Use Cases
  • Life Sciences Use Cases
  • Logistics Use Cases
  • Manufacturing Use Cases
  • Media and Entertainment Use Cases
  • Oil, Gas, and Mining Use Cases
  • Real Estate Use Cases
  • Retail Use Cases
  • Sports Use Cases
  • Telecommunications Use Cases
  • Transportation Use Cases
  • Additional Industry Participants

Charts

  • Enterprise AI Revenue by Region, World Markets: 2016-2025
  • Enterprise AI Revenue by Region, World Markets: 2016-2025
  • Enterprise AI Revenue by Industry, World Markets: 2016
  • Enterprise AI Revenue by Technology, World Markets: 2016
  • Enterprise AI-Driven Services Revenue by Service Category, World Markets: 2016-2025
  • Enterprise AI-Driven Installation Services Revenue by Region, World Markets: 2016-2025
  • Enterprise AI-Driven Training Revenue by Region, World Markets: 2016-2025
  • Enterprise AI-Driven Customization Revenue by Region, World Markets: 2016-2025
  • Enterprise AI-Driven Application Integration Services Revenue by Region, World Markets: 2016-2025
  • Enterprise AI-Driven Maintenance and Support Services Revenue by Region, World Markets: 2016-2025
  • Enterprise AI-Driven Hardware Revenue by Technology Category, World Markets: 2016-2025
  • Enterprise AI-Driven Cloud Revenue by Region, World Markets: 2016-2025
  • Enterprise AI-Driven GPU Chip Revenue by Region, World Markets: 2016-2025
  • Enterprise AI-Driven CPU Revenue by Region, World Markets: 2016-2025
  • Enterprise AI-Driven Network Product Revenue by Region, World Markets: 2016-2025
  • Enterprise AI-Driven Storage Device Revenue by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in the Advertising Industry by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in the Aerospace Industry by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in the Agriculture Industry by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in the Automotive Industry by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in the Building Automation Industry by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in Business by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in the Education Industry by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in the Fashion Industry by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in the Finance Industry by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in the Gaming Industry by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in Government by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in the Healthcare Industry by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in the Information Technology Industry by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in the Investment Industry by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in the Legal Industry by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in the Life Sciences Industry by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in the Logistics Industry by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in the Manufacturing Industry by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in the Media & Entertainment Industry by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in the Oil, Gas & Mining Industry by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in the Real Estate Industry by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in the Retail Industry by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in the Sports and Fitness Industry by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in the Telecommunications Industry by Region, World Markets: 2016-2025
  • Enterprise AI Revenue in the Transportation Industry by Region, World Markets: 2016-2025
  • Enterprise Machine Learning Revenue by Region, World Markets: 2016-2025
  • Enterprise Deep Learning Revenue by Region, World Markets: 2016-2025
  • Enterprise Natural Language Processing Revenue by Region, World Markets: 2016-2025
  • Enterprise Computer Vision Revenue by Region, World Markets: 2016-2025
  • Enterprise Machine Reasoning Revenue by Region, World Markets: 2016-2025
  • Enterprise Strong AI Revenue by Region, World Markets: 2016-2025
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