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市場調查報告書

企業利用人工智能 (企業AI) - 深度學習,機器學習,自然語言處理,電腦視覺,機器推理,「強大的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 271 Pages; 148 Tables, Charts & Figures
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企業利用人工智能 (企業AI) - 深度學習,機器學習,自然語言處理,電腦視覺,機器推理,「強大的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: 2018年01月18日 內容資訊: 英文 271 Pages; 148 Tables, Charts & Figures
簡介

關於人工智能 (AI)用於事業流程產生的附加價值,各企業的關心急速提高。AI有資料驅動型這個特質,容易測量其效果,現在,包含試驗階段有許多的計劃展開。企業AI的市場規模,預計2017年達37億美元,2025年擴大到807億美元。

本報告提供企業AI (人工智能)的市場現況與未來展望相關分析,目前的普及情形和有效利用案例,整體市場規模預測 (今後10年份),各產業、各技術內容詳細趨勢,今後的技術課題,主要企業的簡介,今後的AI軟體/硬體設備/服務市場成長可能性等調查。

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 (各架構的明細)
    • 技術能力的連鎖
  • 市場阻礙因素
    • 「過度炒作」、「超賣」
    • 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
    • 積累了經驗的人力資源不足
    • 纏繞變更管理的問題
    • 結論
  • 市場有效利用新的經營模式
    • 經營模式
  • 企業的有效利用案例 (共27個領域)

第3章 技術課題

  • 人工智能 (AI)的定義
  • 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
    • 「強大的AI」
  • 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
  • 沒有教師螞蟻學習/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
      • Microsoft Cortana
      • Google Now
      • 今後的市場促進因素的理解
  • 語音辨識
  • 電腦視覺
  • 機器推理
  • 預測的API
  • 感測器
  • 本報告未分析的技術 (航空電子學等)
  • 今後的方向性
    • 市場新趨勢
    • 整備與回復
    • AI不適合解決某種問題
    • 影響度的擴大

第4章 主要打入市場企業

  • Automat AI
  • Chronocam
  • SapientRazorfish
  • AES Corporation
  • Darktrace
  • Fashwell AG
  • Humley
  • Inbenta
  • Cobalt Speech
  • Converus
  • Luminoso
  • Appier
  • IPsoft
  • Daisy Intelligence
  • Cogent Labs
  • Onfido
  • Interactions
  • Voyager Labs
  • 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
    • AI相關硬體設備
  • 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
    • 「強大的AI」
  • AI市場收益額:各硬體設備
    • 技術各分類的市場收益額
    • 雲端服務
    • 晶片組 (CPU/ASIC/FPGA)
    • GPU
    • 網路產品
    • 儲存裝置
  • AI市場收益額:各類服務
    • 安裝服務
    • 訓練
    • 客製化服務
    • 應用整合服務
    • 整備、支援服務
  • AI市場收益額:各Meta、類別
    • 分析
    • 語言
    • 語言、分析
    • 願景
    • 願景、分析
    • 願景、語言

第6章 建議與結論

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

第7章 企業一覽

第8章 簡稱、首字母一覽

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

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目錄
Product Code: AIE-18

Enterprises are clearly recognizing the value associated with incorporating artificial intelligence (AI) into their business processes. The number of proof-of-concept and pilot programs continues to grow, and larger scale commercial deployments of AI technology are being publicized by enterprise organizations around the globe. Indeed, much of the success of AI is due the fact that most tasks currently delegated to AI technology are data-driven and therefore easily measured or benchmarked. When AI technology is deployed, even during a small pilot program, the benefits can quickly be demonstrated and proven by looking at the performance data.

Tractica analyzed nearly 300 different enterprise AI use cases to create its market forecast, in addition to assessing the underlying meta technological functions being deployed in each use case, including vision, language, and analytics. Although not every use case may prove out, executives in almost every industry need to consider the potential impact AI will have on their respective business models, bottom lines, and careers. Tractica projects that that annual revenue for enterprise applications of AI will increase from $3.7 billion worldwide in 2017 to $80.7 billion in 2025. Some of the key industry sectors already utilizing AI include business services, government, automotive, retail, and advertising. However, it is clear that AI is being adopted by a much broader range of industries, many of which use similar use cases and strategies for harnessing AI to solve specific business problems.

This Tractica report examines the practical application of AI within commercial enterprises, providing a comprehensive analysis of use cases, business models, market drivers and barriers, technology issues, and the evolving market ecosystem. Detailed market forecasts provide a quantification of the opportunity by technology sector, world region, and industry for AI software, hardware, and services. The report includes detailed profiles of 48 key industry players.

Key Questions Addressed:

  • What are the top AI use cases that will generate commercial revenue?
  • In which industries will AI be deployed?
  • What underlying technologies will be utilized to enable each use case?
  • What are some of the leading companies currently active in the AI space?
  • What is the revenue potential for AI software, hardware, and services for each use case?

Who Needs This Report?

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

Table of Contents

1. Executive Summary

  • 1. Introduction
  • 2. Market Drivers
  • 3. Market Barriers
  • 4. Technologies
  • 5. Market Forecast

2. Market Issues

  • 1. Market Drivers
    • 1. Larger Data Sets
    • 2. Significant Improvement in Machine Learning Algorithms
    • 3. Advances in Hardware
      • 1. Segmentation by Architecture
  • 4. Alignment of Technological Capabilities
  • 2. Market Barriers
    • 1. Over-Hyped and Over-Sold
    • 2. Unrealistic Expectations
    • 3. Social Controversy
    • 4. Societal Backlash
    • 5. Need for Accurate Data
    • 6. The Infancy of Neuroscience
    • 7. Lack of Experienced Talent
    • 8. Change Management Issues
    • 9. Market Barrier Conclusions
  • 3. Monetization and New Business Models
    • 1. Business Models
  • 4. Enterprise Use Cases
    • 1. Advertising
      • 1. Ad Insertions into Images and Video
      • 2. Human Emotion Analysis
      • 3. Interactive Window Displays
      • 4. Performance Reporting and Analytics of Ad Campaigns
      • 5. Querying Image Content
      • 6. Static Image Recognition, Classification, And Tagging
      • 7. Targeted Advertising Using Multi-Domain Customer Data (Social, Web, Context)
      • 8. Video Content Analysis
      • 9. Voice/Speech Recognition
    • 2. Aerospace
      • 1. Localization and Mapping (Aircraft and Drones)
      • 2. Machine/Vehicular Object Detection/ Identification/Avoidance (Aircraft, Drones, and Satellites)
      • 3. Predictive Maintenance (Aircraft, Drones, and Satellites)
      • 4. Sensor Data Fusion in Machinery (Aircraft, Drones, and Satellites)
      • 5. Swarming Drones
      • 6. Vehicle Network and Data Security (Aircraft, Drones, and Satellites)
      • 7. Weather Forecasting
    • 3. Agriculture
      • 1. Food Safety
      • 2. Livestock Management
      • 3. Machine/Vehicular Object Detection/ Identification/Avoidance
      • 4. Satellite Imagery for Geo-Analytics
      • 5. Sensor Data Analytics
      • 6. Sensor Data Fusion in Machinery
      • 7. Localization and Mapping
      • 8. Weather Forecasting
      • 9. Weed Identification
    • 4. Automotive
      • 1. Automated On-Road Customer Service
      • 2. Building Generative Models of the Real World
      • 3. Driver Face Analytics and Emotion Recognition
      • 4. Gesture Recognition
      • 5. Machine/Vehicular Object Detection/ Identification/Avoidance
      • 6. Personalized Services in Cars
      • 7. Predicting Demand for On-Demand Taxis
      • 8. Predictive Maintenance
      • 9. Sensor Data Fusion in Machinery
      • 10. Simulating Worlds for Artificial Intelligence Training
      • 11. Surge Pricing for On-Demand Taxis
      • 12. Localization and Mapping
      • 13. Vehicle Network and Data Security
      • 14. Virtual Testing and Simulation for Racing Cars
    • 5. Building Automation
      • 1. Building Automation and Energy Management
    • 6. Business Services
      • 1. Agent-Based Simulations for Decision Making
      • 2. Audio and Video Mining
      • 3. Automated Report Generation
      • 4. Automated Workforce Scheduling
      • 5. Chatbot-Based Brand/Service Interactions
      • 6. Chatbot-Based E-Commerce and Sales
      • 7. Crowdsourced Market Research
      • 8. Enterprise Chatbots for Productivity and Collaboration
      • 9. Intelligent Customer Relationship Management Systems
      • 10. Intelligent Recruiting and Human Resources Systems
      • 11. Prevention against Cybersecurity Threats
      • 12. Procurement Management
      • 13. Project and Stakeholder Management
      • 14. Real-Time News Analysis and Competitive Intelligence
      • 15. Social Media Publishing and Management
      • 16. Travel Concierge and Booking Services
      • 17. Workflow and Project Management
    • 7. Construction
      • 1. Satellite Imagery for Geo-Analytics
    • 8. Education
      • 1. Personalized Tutoring and Adaptive Learning
      • 2. Automated CliffsNotes, Study Notes, and Quiz Generators
      • 3. Automated Grading of Tests
      • 4. Education for Autistic and Speech-Deficient Children
      • 5. Foreign Language Tutoring
      • 6. Spoken Fluency Evaluation
      • 7. Textual Question Answering
    • 9. Energy
      • 1. Satellite Imagery for Geo-Analytics
      • 2. Weather Forecasting
    • 10. Fashion
      • 1. Fashion Trend Prediction
    • 11. Finance
      • 1. Automated Credit Scoring
      • 2. Automated Report Generation
      • 3. Biometric Identification
      • 4. Converting Paperwork into Digital Assets
      • 5. Patient Data Processing
      • 6. Employee Expense Management
      • 7. Loan Analysis
      • 8. Personal Financial Advisor
      • 9. Risk Assessment and Compliance
      • 10. Tax Filing and Processing
      • 11. Transaction Fraud Detection
    • 12. Gaming
      • 1. Create Dynamic and Interactive Video Game Experiences
    • 13. Government
      • 1. Agent-Based Simulations for Decision Making
      • 2. Behavioral Analytics
      • 3. Converting Paperwork into Digital Assets
      • 4. Crowd Analytics
      • 5. Dialect Classification
      • 6. Disaster and Emergency Management
      • 7. Facial Recognition
      • 8. Object Detection for Surveillance
      • 9. Predicting Social Unrest and Geopolitical Events
      • 10. Real-Time Video Analytics
      • 11. Sentiment Analysis
      • 12. Social Media Bots
      • 13. Street Lighting
      • 14. Traffic Light Management
      • 15. Waste Sorting and Recycling
      • 16. Weather Forecasting
    • 14. Healthcare
      • 1. Automated Report Generation
      • 2. Bio-Marker Discovery
      • 3. Clustering and Phenotype Discovery
      • 4. Computational Drug Discovery
      • 5. Converting Paperwork into Digital Assets
      • 6. Facial Recognition
      • 7. Genomic Data Mapping and Analysis for Personalized Healthcare and Precision Medicine
      • 8. Hospital Patient Management System
      • 9. Market Intelligence for Life Sciences
      • 10. Medical Diagnosis Assistance
      • 11. Medical Image Analysis
      • 12. Medical Treatment Recommendation
      • 13. Medication Compliance for Clinical Trials and General Usage
      • 14. Methods for Monitoring Vitals
      • 15. Mining, Processing, and Making Sense of Clinical Notes
      • 16. Patient Data Processing
      • 17. Portable and Low-Cost Ultrasound Device
      • 18. Predicting Illness and Patient Outcomes
      • 19. Text Classification and Mining for Biomedical Literature
      • 20. Virtual Assistants for Doctors
      • 21. Virtual Assistants for Patients
    • 15. Information Technology
      • 1. Automated Code Development
      • 2. Computer-Aided Design
      • 3. Mobile Application Development
      • 4. Network/Information Technology Operations Monitoring and Management
      • 5. Simulating Worlds for Artificial Intelligence Training
      • 6. Software Code Error Checking
      • 7. Website Creation
    • 16. Investment
      • 1. Algorithmic Trading Strategy Performance Improvement
      • 2. Financial Search Engine
      • 3. Market Intelligence and Data Analytics for Investment
      • 4. Satellite Imagery for Geo-Analytics
    • 17. Legal
      • 1. Automated Report Generation
      • 2. Contract Analysis
      • 3. Legal Document Review and Research
    • 18. Life Sciences
      • 1. Create Synthetic Life Forms
    • 19. Logistics
      • 1. Demand Forecasting for Warehouse and Supply Chain
      • 2. Machine/Vehicular Object Detection/ Identification/Avoidance
      • 3. Localization and Mapping
      • 4. Satellite Imagery for Geo-Analytics
      • 5. Supply Chain and Logistics (Freight Transport, Retail)
      • 6. Weather Forecasting
    • 20. Manufacturing
      • 1. 3D Printing Arm Control
      • 2. Machine/Vehicular Object Detection/ Identification/Avoidance
      • 3. Predictive Maintenance
      • 4. Real-Time Video Analytics
      • 5. Localization and Mapping
      • 6. Sensor Data Fusion in Machinery
      • 7. Voice/Speech Recognition
    • 21. Media and Entertainment
      • 1. Algorithmic News Stories
      • 2. Audio and Video Mining
      • 3. Film Scene Structure
      • 4. Gesture Recognition
      • 5. Human Emotion Analysis
      • 6. Music Production and Generation
      • 7. News and Feed Curation for Consumers
      • 8. Simulating Crowds
      • 9. Social Media Publishing and Management
      • 10. Video Editing
    • 22. Oil, Gas, and Mining
      • 1. Automated Report Generation
      • 2. Oil Production Optimization
    • 23. Real Estate
      • 1. Real Estate Development Optimization
    • 24. Retail
      • 1. Behavioral Analytics
      • 2. Clothes Sizing and Fitting
      • 3. Crowd Analytics
      • 4. Intelligent CRM Systems
      • 5. Predictive Analytics for Retail
      • 6. Sentiment Analysis
      • 7. Supermarket Shelf Analytics
      • 8. Visual Search-Based E-Commerce
      • 9. Weather Forecasting
    • 25. Sports
      • 1. Athlete Fitness, Sleep Monitoring, and Performance Optimization
      • 2. Biomarker-Based Athlete Performance Optimization
      • 3. Game Outcome Predictions for Betting
      • 4. Sports Statistics Analysis and Search
      • 5. Sports Teams Players Selection
    • 26. Telecommunications
      • 1. Predictive Maintenance
      • 2. Prevention against Cybersecurity Threats
      • 3. Improve Customer Experience Management
      • 4. Fraud Mitigation
      • 5. Intelligent Customer Relationship Management Systems
    • 27. Transportation
      • 1. Machine/Vehicular Object Detection/ Identification/Avoidance
      • 2. Predicting Traffic Density
      • 3. Sensor Data Fusion in Machinery (Ships, Unmanned Ships)
      • 4. Localization and Mapping
      • 5. Vehicle Network and Data Security
      • 6. Weather Forecasting

3. Technology Issues

  • 1. Definition of Artificial Intelligence
  • 2. A High-Level Description of Artificial Intelligence
    • 1. Machine Learning
    • 2. Deep Learning
    • 3. Natural Language Processing
    • 4. Computer Vision
    • 5. Machine Reasoning
    • 6. Strong AI
  • 3. History of Machine Learning
  • 4. History of Deep Learning
  • 5. The Difference between Machine Learning and Deep Learning
  • 6. Structured Data versus Unstructured Data
  • 7. Supervised versus Unsupervised Learning
  • 8. Known Knowledge versus Unknown Knowledge
  • 9. An Example of Machine Learning
  • 10. An Example of Deep Learning
  • 11. Natural Language Processing
    • 1. Virtual Assistants Are the High Ground
      • 1. Amazon Alexa Voice Service
      • 2. Apple Siri
      • 3. Baidu Duer
      • 4. Microsoft Cortana
      • 5. Google Now
      • 6. Understanding What Will Drive the Market from Here
  • 12. Speech Recognition
  • 13. Computer Vision
  • 14. Machine Reasoning
  • 15. Predictive Application Programming Interfaces
  • 16. Sensors
  • 17. Technologies Not Considered in This Report
    • 1. Avionics
  • 18. Future Directions
    • 1. The Next Wave
    • 2. Maintenance and Recovery
    • 3. Artificial Intelligence Is Not Suitable for Some Kinds of Problems
    • 4. The Larger Impact

4. Key Industry Players

  • 1. Automat AI
  • 2. Chronocam
  • 3. SapientRazorfish
  • 4. AES Corporation
  • 5. Darktrace
  • 6. Fashwell AG
  • 7. Humley
  • 8. Inbenta
  • 9. Cobalt Speech
  • 10. Converus
  • 11. Luminoso
  • 12. Appier
  • 13. IPsoft
  • 14. Daisy Intelligence
  • 15. Cogent Labs
  • 16. Onfido
  • 17. Interactions
  • 18. Voyager Labs
  • 19. IBM
  • 20. Microsoft
  • 21. Facebook
  • 22. Google
  • 23. Baidu
  • 24. NVIDIA
  • 25. Rocket Fuel
  • 26. Dstillery
  • 27. Prism Skylabs
  • 28. Continental AG
  • 29. Tesla Motors
  • 30. Mobileye
  • 31. Lending Club
  • 32. Kabbage
  • 33. Coursera
  • 34. Knewton
  • 35. Bloomberg
  • 36. FinGenius
  • 37. Medtronic
  • 38. Apple
  • 39. Intel
  • 40. NEC
  • 41. Qualcomm
  • 42. Salesforce
  • 43. DataMinr
  • 44. Roche Holding AG
  • 45. Cognitive Scale
  • 46. Declara
  • 47. AiCure
  • 48. Sailthru

5. Market Forecasts

  • 1. Forecast Methodology
  • 2. Global Artificial Intelligence Market Forecasts
  • 3. Enterprise Artificial Intelligence Revenue by Industry
  • 4. Enterprise Artificial Intelligence Revenue by Technology
  • 5. Artificial Intelligence-Driven Revenue Streams
    • 1. Artificial Intelligence-Driven Services
      • 1. Artificial Intelligence-Driven Installation Services
      • 2. Artificial Intelligence-Driven Training
      • 3. Artificial Intelligence-Driven Customization Services
      • 4. Artificial Intelligence-Driven Application Integration Services
      • 5. Artificial Intelligence-Driven Maintenance and Support Services
    • 2. Artificial Intelligence-Driven Hardware Revenue
      • 1. Artificial Intelligence-Driven Cloud Revenue
      • 2. Artificial Intelligence-Driven Graphics Processing Unit Chip Revenue
      • 3. Artificial Intelligence-Driven CPU/ASIC/FPGA Revenue
      • 4. Artificial Intelligence-Driven Network Product Revenue
      • 5. Artificial Intelligence-Driven Storage Device Revenue
  • 6. Artificial Intelligence Revenue by Industry Segment
    • 1. Artificial Intelligence in the Advertising Industry
    • 2. Artificial Intelligence in the Aerospace Industry
    • 3. Artificial Intelligence in the Agriculture Industry
    • 4. Artificial Intelligence in the Automotive Industry
    • 5. Artificial Intelligence in the Building Automation Industry
    • 6. Artificial Intelligence in Business
    • 7. Artificial Intelligence in the Education Industry
    • 8. Artificial Intelligence in the Fashion Industry
    • 9. Artificial Intelligence in the Finance Industry
    • 10. Artificial Intelligence in the Gaming Industry
    • 11. Artificial Intelligence in Government
    • 12. Artificial Intelligence in the Healthcare Industry
    • 13. Artificial Intelligence in the Information Technology Industry
    • 14. Artificial Intelligence in the Investment Industry
    • 15. Artificial Intelligence in the Legal Industry
    • 16. Artificial Intelligence in the Life Sciences Industry
    • 17. Artificial Intelligence in the Logistics Industry
    • 18. Artificial Intelligence in the Manufacturing Industry
    • 19. Artificial Intelligence in the Media & Entertainment Industry
    • 20. Artificial Intelligence in the Oil, Gas, and Mining Industry
    • 21. Artificial Intelligence in the Real Estate Industry
    • 22. Artificial Intelligence in the Retail Industry
    • 23. Artificial Intelligence in the Sports and Fitness Industry
    • 24. Artificial Intelligence in the Telecommunications Industry
    • 25. Artificial Intelligence in the Transportation Industry
  • 7. Artificial Intelligence Revenue Forecasts by Technology
    • 1. Machine Learning
    • 2. Deep Learning
    • 3. Natural Language Processing
    • 4. Computer Vision
    • 5. Machine Reasoning
    • 6. Strong AI
  • 8. Enterprise Artificial Intelligence-Driven Hardware Revenue
    • 1. Enterprise Artificial Intelligence-Driven Hardware Revenue by Technology Category
    • 2. Enterprise Artificial Intelligence-Driven Cloud Services Revenue by Region
    • 3. Enterprise Artificial Intelligence-Driven Chipset Revenue by Region
    • 4. Enterprise Artificial Intelligence-Driven GPU Revenue by Region
    • 5. Enterprise Artificial Intelligence-Driven Network Product Revenue by Region
    • 6. Enterprise Artificial Intelligence-Driven Storage Device Revenue by Region
  • 9. Enterprise Artificial Intelligence-Driven Services Revenue
    • 1. Enterprise Artificial Intelligence-Driven Installation Services Revenue by Region
    • 2. Enterprise Artificial Intelligence-Driven Training Revenue by Region
    • 3. Enterprise Artificial Intelligence-Driven Customization Revenue by Region
    • 4. Enterprise Artificial Intelligence-Driven Application Integration Services Revenue by Region
    • 5. Enterprise Artificial Intelligence-Driven Maintenance and Support Services Revenue by Region
  • 10. Enterprise Artificial Intelligence-Revenue by Meta Categorization
    • 1. Artificial Intelligence Revenue by Top 10 Meta Categorization and Use Cases, Analytics
    • 2. Artificial Intelligence Revenue by Meta Categorization and Use Cases, Language
    • 3. Artificial Intelligence Revenue by Meta Categorization and Use Cases, Language and Analytics
    • 4. Artificial Intelligence Revenue by Meta Categorization and Use Cases, Vision
    • 5. Artificial Intelligence Revenue by Meta Categorization and Use Cases, Vision and Analytics
    • 6. Artificial Intelligence Revenue by Meta Categorization and Use Cases, Vision and Language

6. Recommendations and Conclusion

  • 1. Key Findings
  • 2. Recommendations for Potential Customers
  • 3. Recommendations for Technology Vendors
  • 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

List of Charts, Figures, and Tables

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 Services Revenue by Region, World Markets: 2016-2025
  • Enterprise AI-Driven GPU Chip Revenue by Region, World Markets: 2016-2025
  • Enterprise AI-Driven CPU/ASIC/FPGA 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, and 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
  • Enterprise AI-Driven Hardware Revenue by Technology Category, World Markets: 2016-2025
  • Enterprise AI-Driven Cloud Services Revenue by Region, World Markets: 2016-2025
  • Enterprise AI-Driven CPU/ASIC/FPGA Revenue by Region, World Markets: 2016-2025
  • Enterprise AI-Driven GPU 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 Cloud 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 Revenue by Meta Categorization, World Markets: 2016-2025
  • AI Revenue by Top 10 Meta Categorization and Use Cases, Analytics, World Markets: 2016-2025
  • AI Revenue by Meta Categorization and Use Case, Language, World Markets: 2016-2025
  • AI Revenue by Meta Categorization and Use Case, Language and Analytics, World Markets: 2016-2025
  • AI Revenue by Meta Categorization and Use Case, Vision, World Markets: 2016-2025
  • AI Revenue by Meta Categorization and Use Case, Vision and Analytics, World Markets: 2016-2025
  • AI Revenue by Meta Categorization and Use Case, Vision and Language, World Markets: 2016-2025

Figures

  • Machine Learning Algorithm Example
  • Deep Learning Algorithm Example

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, and 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, and 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 Services Revenue by Region, World Markets: 2016-2025
  • Enterprise AI-Driven CPU/ASIC/FPGA Revenue by Region, World Markets: 2016-2025
  • Enterprise AI-Driven GPU 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
  • Enterprise AI Revenue by Meta Categorization, World Markets: 2016-2025
  • AI Revenue by Meta Categorization and Use Case, Analytics, World Markets: 2016-2025
  • AI Revenue by Meta Categorization and Use Case, Language, World Markets: 2016-2025
  • AI Revenue by Meta Categorization and Use Case, Language and Analytics, World Markets: 2016-2025
  • AI Revenue by Meta Categorization and Use Case, Vision, World Markets: 2016-2025
  • AI Revenue by Meta Categorization and Use Case, Vision and Analytics, World Markets: 2016-2025
  • AI Revenue by Meta Categorization and Use Case, Vision and Language, World Markets: 2016-2025
  • Additional Industry Participants
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