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企業利用向け人工知能 (エンタープライズAI) - ディープラーニング、機械学習、自然言語処理、コンピュータービジョン、マシンリーズニング、「強いAI」:世界市場の分析と予測

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

発行 Tractica 商品コード 328668
出版日 ページ情報 英文 271 Pages; 148 Tables, Charts & Figures
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企業利用向け人工知能 (エンタープライズAI) - ディープラーニング、機械学習、自然言語処理、コンピュータービジョン、マシンリーズニング、「強いAI」:世界市場の分析と予測 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: 2018年01月18日 ページ情報: 英文 271 Pages; 148 Tables, Charts & Figures
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概要

人工知能 (AI) を事業プロセスに用いて生み出される付加価値について、各企業の関心が急速に高まりつつあります。AIはデータ駆動型という特質があり、その効果を容易に測定できるため、現在、試行段階を含めて数多くのプロジェクトが展開されています。エンタープライズ (企業向け) AIの市場規模は、2017年には37億米ドル、そして2025年には807億米ドルにまで拡大する見通しです。

当レポートでは、エンタープライズAI (人工知能) の市場の現状と将来展望について分析し、現時点での普及状況や活用事例、全体的な市場規模の見通し (今後10年間分)、産業別・技術内容別の詳細動向、今後の技術的課題、主要企業のプロファイル、今後のAIソフトウェア/ハードウェア/サービス市場の成長可能性などを調査しております。

第1章 エグゼクティブ・サマリー

  • イントロダクション
  • 市場促進要因
  • 市場阻害要因
  • 技術
  • 市場予測

第2章 市場の課題

  • 市場促進要因
    • データセットの大規模化
    • 機械学習のアルゴリズムの大幅改善
    • ハードウェアの進歩 (アーキテクチャ別の内訳)
    • 技術能力の連動
  • 市場阻害要因
    • 「宣伝しすぎ」と「買いかぶりすぎ」
    • 非現実的な期待
    • 社会的矛盾
    • 社会的な反発
    • 正確なデータの必要性
    • まだ未成熟な神経科学
    • 経験を積んだ人材の不足
    • 変更管理に絡む問題
    • 結論
  • 市場の有効活用と新たなビジネスモデル
    • ビジネスモデル
  • 企業での活用事例 (全27分野)

第3章 技術的課題

  • 人工知能 (AI) の定義
  • AIの詳細な説明
    • 機械学習 (マシンラーニング)
    • ディープラーニング (深層学習)
    • 自然言語処理
    • コンピューター版
    • マシンリーズニング (機械推量)
    • 「強いAI」
  • 機械学習の歴史
  • 深層学習の歴史
  • 機械学習と深層学習の違い
  • 構造化データ/非構造データ
  • 教師あり学習/教師なし学習
  • 「既知の事実」と「未知の事実」
  • 機械学習の事例
  • ディープラーニングの事例
  • 自然言語処理
    • 仮想アシスタンス機能の優位性
      • Amazon Alexa Voice Service
      • Apple Siri
      • Baidu Duer
      • Microsoft Cortana
      • Google Now
      • 今後の市場促進要因への理解
  • 音声認識
  • コンピュータービジョン
  • マシンリーズニング
  • 予測的API
  • センサー
  • 当レポートの分析対象外となる技術 (アビオニクスなど)
  • 今後の方向性
    • 市場の新たな波
    • 整備と回復
    • AIはある種の問題の解決には適さない
    • 影響度の拡大

第4章 主な市場参入企業

  • 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
  • 日本電気
  • Qualcomm
  • Salesforce
  • DataMinr
  • Roche Holding AG
  • Cognitive Scale
  • Declara
  • AiCure
  • Sailthru

第5章 市場予測

  • 予測手法
  • 世界のAI市場の将来予測
  • エンタープライズAIの市場収益額:産業別
  • エンタープライズAIの市場収益額:技術別
  • AI関連の市場収益額
    • AI関連サービス
    • AI関連ハードウェア
  • AI市場の収益額:産業別
    • 広告
    • 航空宇宙
    • 農業
    • 自動車
    • ビルオートメーション
    • ビジネス
    • 教育
    • ファッション
    • 金融
    • ゲーム
    • 政府機関
    • 医療
    • IT
    • 投資
    • 法務
    • ライフサイエンス
    • ロジスティクス
    • 製造業
    • メディア・エンタテインメント
    • 石油・ガス・鉱業
    • 不動産
    • 小売業
    • スポーツ・フィットネス
    • 通信
    • 運輸
  • AI市場の収益額:技術別
    • 機械学習
    • ディープラーニング
    • 自然言語処理
    • コンピュータ版
    • マシンリーズニング
    • 「強いAI」
  • AI市場の収益額:ハードウェア別
    • 技術カテゴリー別の市場収益額
    • クラウドサービス
    • チップセット (CPU/ASIC/FPGA)
    • GPU
    • ネットワーク製品
    • ストレージデバイス
  • AI市場の収益額:サービス別
    • 設置サービス
    • 訓練
    • カスタム化サービス
    • アプリケーション統合サービス
    • 整備・サポートサービス
  • AI市場の収益額:メタ・カテゴリー別
    • アナリティクス (解析)
    • 言語
    • 言語・アナリティクス
    • ビジョン
    • ビジョン・アナリティクス
    • ビジョン・言語

第6章 提言と結論

  • 主な分析結果
  • 潜在的顧客向け提言
  • 技術ベンダー向け提言
  • 結論

第7章 企業一覧

第8章 略語・頭文字一覧

第9章 目次

第10章 図表一覧

第11章 分析範囲・情報源・分析手法・注記

目次
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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