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市場調査レポート

エンタープライズ向け人工知能 (エンタープライズAI) の世界市場の分析と予測:深層学習 (DL)、機械学習 (ML)、自然言語処理 (NLP)、コンピュータービジョン、機械推論、強いAI

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 278 Pages; 156 Tables, Charts & Figures
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エンタープライズ向け人工知能 (エンタープライズAI) の世界市場の分析と予測:深層学習 (DL)、機械学習 (ML)、自然言語処理 (NLP)、コンピュータービジョン、機械推論、強いAI 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: 2019年09月30日 ページ情報: 英文 278 Pages; 156 Tables, Charts & Figures
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Tracticaは、時代を先取りした商品ラインナップを展開する市場調査会社です。レポートを分野別にまとめてご購入できる大変お得な『年間契約型レポートパッケージ』もございます。無料のアナリストサービスもご利用いただけますので是非あわせてご検討下さい。
概要

世界のエンタープライズ向け人工知能 (エンタープライズAI) の収益は、2018年の76億米ドルから、2025年には1,073億米ドルまで増加すると予測されています。

当レポートでは、世界のエンタープライズ向け人工知能 (エンタープライズAI) 市場について調査分析し、ユースケース、ビジネスモデル、市場促進要因・障壁、技術の課題、市場エコシステムの進化などについて、体系的な情報を提供しています。

第1章 エグゼクティブサマリー

第2章 市場課題

  • 市場促進要因
  • 市場障壁
  • 収益化と新しいビジネスモデル
  • AIエンタープライズのプラットフォーム情勢

第3章 ユースケース

  • 概要
  • 広告
  • 航空宇宙
  • 農業
  • 自動車
  • ビルディングオートメーション
  • ビジネスサービス
  • 建設
  • 教育
  • エネルギー
  • ファッション
  • 金融
  • ゲーム
  • ヘルスケア
  • IT
  • 保険
  • 投資
  • 法務
  • ロジスティクス
  • 製造
  • メディア・エンターテインメント
  • 石油・ガス、鉱業
  • 公共部門
  • 不動産
  • 小売
  • 科学研究
  • スポーツ
  • 通信
  • 輸送
  • メタカテゴリーの促進要因

第4章 技術の課題

  • AIの定義
  • AIの詳細説明
  • 機械学習 (ML) vs. 深層学習 (DL)
  • 自然言語処理 (NLP)
  • 音声認識
  • コンピュータービジョン
  • 機械推論
  • 強化学習
  • メタラーニング
  • 予測API
  • センサー
  • DevOps向けAI
  • 将来の方向性

第5章 主な市場参入企業

  • イントロダクション
  • AES Corporation
  • AiCure
  • Appier
  • Apple
  • Artificial Solutions International, AB
  • Automat Technologies, Inc.
  • Baidu
  • Bloomberg
  • Cobalt Speech
  • Cogent Labs
  • Cognitive Scale
  • Continental AG
  • Coursera
  • Daisy Intelligence
  • Darktrace
  • Dataminr
  • Declara
  • Dynam.AI
  • Facebook
  • FinGenius
  • Google
  • Humley
  • Inbenta
  • Interactions
  • IBM
  • Intel
  • IPsoft
  • Knewton
  • LendingClub
  • Luminoso
  • Microsoft
  • MixMode
  • Mobileye
  • 日本電気
  • Ntooitive Digital
  • Nuance Communications
  • NVIDIA
  • Onfido
  • Oracle
  • Prism Skylabs
  • Prophesee (旧:Chronocam)
  • Qualcomm
  • SecBI
  • Salesforce
  • Tesla
  • ThetaRay
  • Verint
  • Voyager Labs
  • その他

第6章 市場予測

  • 予測手法
  • 世界のAI市場の予測
  • エンタープライズAIの収益:産業別
  • エンタープライズAIの収益:技術別
  • AIの収益:産業セグメント別
  • AIの収益予測:技術別
  • エンタープライズAIの収益:メタカテゴリー別

第7章 提言と結論

第8章 企業ディレクトリ

第9章 略語リスト

第10章 目次

第11章 図表

第12章 調査範囲、情報源、調査手法、注記

目次
Product Code: AIE-19

Artificial intelligence (AI) is rapidly entering a new phase within enterprises. An increasing number of enterprises are transforming trial AI programs into full-blown, enterprise-wide deployments. This trend is largely based on the early successes of pilot programs, as well as the continuing advancements in AI hardware, software, and services.

A key reason why enterprises are embracing AI is companies have realized that the massive amount of process, operational, and transactional data they are collecting or have access to can be leveraged to wring out more efficiency, productivity, and cost savings. By applying natural language processing, computer vision, machine learning, or deep learning, computers can “intelligently” respond to stimuli or situations, find insights that can improve the way they run their operations, and improve customer interactions. It is clear that AI is not a fad, but a key part of the technology landscape of today and tomorrow. Tractica projects that annual revenue for enterprise applications of AI will increase from $7.6 billion worldwide in 2018 to $107.3 billion in 2025.

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. Tractica analyzed 167 distinct enterprise AI use cases to create its market forecasts, in addition to assessing the underlying meta technological functions being deployed in each use case, including vision, language, and analytics. Detailed market forecasts provide a quantification of the opportunity by technology sector, world region, and industry for AI software, hardware, and services through 2025. The report also includes detailed profiles of 48 key industry players.

Key Questions Addressed:

  • What are the top enterprise AI use cases that will generate commercial revenue?
  • Which industries will deploy enterprise AI?
  • What underlying technologies will be utilized to enable each use case?
  • What are some of the leading companies currently active in the enterprise AI space?
  • What is the revenue potential for enterprise 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
  • 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 Datasets
    • 2.1.2. Significant Improvement in Machine Learning Algorithms
    • 2.1.3. Advances in Hardware
      • 2.1.3.1. Segmentation by Architecture
    • 2.1.4. Alignment of Technological Capabilities
    • 2.1.5. Increasing Use of Natural Language Interfaces
    • 2.1.6. Increasing Demand for Cognitive Robotic Process Automation
    • 2.1.7. National Initiatives Supporting AI Increasing
  • 2.2. Market Barriers
    • 2.2.1. Unrealistic Expectations
    • 2.2.2. Over-Hyped and Over-Sold
    • 2.2.3. Social Controversy
    • 2.2.4. Societal Backlash
    • 2.2.5. Need for Accurate Data
    • 2.2.6. Technological Challenges with Neuroscience
    • 2.2.7. Lack of Experienced Talent
    • 2.2.8. Change Management Issues
    • 2.2.9. Market Barrier Conclusions
  • 2.3. Monetization and New Business Models
    • 2.3.1. Business Models
  • 2.4. AI Enterprise Platforms Landscape
    • 2.4.1. Key Players

3. Enterprise Use Cases

  • 3.1. Overview
  • 3.2. Advertising
    • 3.2.1. Ad Insertions into Images and Video
    • 3.2.2. Human Emotion Analysis
    • 3.2.3. Creative Workflow Intelligence
    • 3.2.4. Performance Reporting and Analytics of Ad Campaigns
    • 3.2.5. Querying Image Content
    • 3.2.6. Ad Targeting and Media Buying
    • 3.2.7. Video Content Analysis
    • 3.2.8. Voice/Speech Recognition
  • 3.3. Aerospace
    • 3.3.1. Localization and Mapping (Aircraft and Drones)
    • 3.3.2. Machine/Vehicular Object Detection/Identification/Avoidance (Aircraft, Drones, and Satellites)
    • 3.3.3. Predictive Maintenance (Aircraft, Drones, and Satellites)
    • 3.3.4. Sensor Data Fusion in Machinery (Aircraft, Drones, and Satellites)
    • 3.3.5. Swarming Drones
    • 3.3.6. Vehicle Network and Data Security (Aircraft, Drones, and Satellites)
    • 3.3.7. Weather Forecasting
  • 3.4. Agriculture
    • 3.4.1. Food Safety
    • 3.4.2. Livestock Management
    • 3.4.3. Machine/Vehicular Object Detection/Identification/Avoidance
    • 3.4.4. Satellite Imagery for Geo-Analytics
    • 3.4.5. Sensor Data Analytics
    • 3.4.6. Sensor Data Fusion in Machinery
    • 3.4.7. Localization and Mapping
    • 3.4.8. Weather Forecasting
    • 3.4.9. Crop Health Analysis
  • 3.5. Automotive
    • 3.5.1. Automated On-Road Customer Service
    • 3.5.2. Building Generative Models of the Real World
    • 3.5.3. Driver Face Analytics and Emotion Recognition
    • 3.5.4. Gesture Recognition
    • 3.5.5. Machine/Vehicular Object Detection/Identification/Avoidance
    • 3.5.6. Personalized Services in Cars
    • 3.5.7. Predicting Demand for On-Demand Taxis
    • 3.5.8. Predictive Maintenance
    • 3.5.9. Sensor Data Fusion in Machinery
    • 3.5.10. Simulating Worlds for AI Training
    • 3.5.11. Voice/Speech Recognition
    • 3.5.12. Localization and Mapping
    • 3.5.13. Vehicle Network and Data Security
    • 3.5.14. Virtual Testing and Simulation for Racing Cars
    • 3.5.15. Truck Platooning
  • 3.6. Building Automation
    • 3.6.1. Energy Management
  • 3.7. Business Services
    • 3.7.1. Agent-Based Simulations for Decision-Making
    • 3.7.2. Audio and Video Mining
    • 3.7.3. Automated Report Generation
    • 3.7.4. Business Application Virtual Digital Assistants
    • 3.7.5. Crowdsourced Market Research
    • 3.7.6. Customer Service & Marketing Virtual Digital Assistants
    • 3.7.7. Digital Experience Marketing
    • 3.7.8. E-Commerce & Sales Virtual Digital Assistants
    • 3.7.9. Face Recognition
    • 3.7.10. Human Emotion Analysis
    • 3.7.11. Intelligent Customer Relationship Management Systems
    • 3.7.12. Intelligent Recruitment and Human Resources Systems
    • 3.7.13. Machine/Vehicular/Object Detection/Identification/Avoidance
    • 3.7.14. Prevention against Cybersecurity Threats
    • 3.7.15. Procurement Management
    • 3.7.16. Project and Stakeholder Management
    • 3.7.17. Real-Time Media and Social Intelligence
    • 3.7.18. Sentiment Analysis in Customer Care
    • 3.7.19. Social Media Publishing and Management
    • 3.7.20. Travel Concierge and Booking Services
    • 3.7.21. Video Surveillance
    • 3.7.22. Voice Transcription
    • 3.7.23. Voice/Speech Recognition
    • 3.7.24. Workforce Management & Scheduling
  • 3.8. Construction
    • 3.8.1. Predictive Maintenance
    • 3.8.2. Project and Stakeholder Management
    • 3.8.3. Satellite Imagery for Geo-Analytics
    • 3.8.4. Worker Safety
  • 3.9. Education
    • 3.9.1. Automated CliffsNotes, Study Notes, and Quiz Generators
    • 3.9.2. Automated Grading of Tests
    • 3.9.3. Education for Autistic and Speech-Deficient Children
    • 3.9.4. Foreign Language Tutoring
    • 3.9.5. Personalized Tutoring and Adaptive Learning
    • 3.9.6. Spoken Fluency Evaluation
    • 3.9.7. Textual Question Answering
  • 3.10. Energy
    • 3.10.1. Energy Consumption Management
    • 3.10.2. Energy Grid Distribution
    • 3.10.3. Energy Grid Security
    • 3.10.4. Nuclear/Power Plant Safety
    • 3.10.5. Predictive Maintenance
    • 3.10.6. Satellite Imagery for Geo-Analytics
    • 3.10.7. Weather Forecasting
  • 3.11. Fashion
    • 3.11.1. Fashion Trend Prediction
  • 3.12. Finance
    • 3.12.1. Automated Report Generation
    • 3.12.2. Biometric Identification
    • 3.12.3. Credit Scoring & Loan Analysis
    • 3.12.4. Employee Expense Management
    • 3.12.5. Facial Recognition
    • 3.12.6. Fraud Detection and Anti-Money Laundering
    • 3.12.7. Human Emotion Analysis
    • 3.12.8. Machine/Vehicular/Object Detection/Identification/Avoidance
    • 3.12.9. Personal Financial Advisor
    • 3.12.10. Risk Assessment and Compliance
    • 3.12.11. Tax Filing and Processing
    • 3.12.12. Video Surveillance
    • 3.12.13. Voice/Speech Recognition
  • 3.13. Gaming
    • 3.13.1. Game Monetization and Personalization
    • 3.13.2. Game Development
  • 3.14. Healthcare
    • 3.14.1. Automated Report Generation
    • 3.14.2. Biomarker Discovery
    • 3.14.3. Clustering and Phenotype Discovery
    • 3.14.4. Computational Drug Discovery
    • 3.14.5. Converting Paperwork into Digital Data
    • 3.14.6. Counterfeit Drug Analysis
    • 3.14.7. Digital Pathology
    • 3.14.8. Facial Recognition
    • 3.14.9. Genomic Data Mapping and Analysis for Personalized Healthcare and Precision
    • 3.14.10. Healthcare Virtual Digital Assistants
    • 3.14.11. Hospital Patient Management System
    • 3.14.12. Market Intelligence for Scientific Research
    • 3.14.13. Medical Diagnosis Assistance
    • 3.14.14. Medical Image Analysis
    • 3.14.15. Medical Treatment Recommendation
    • 3.14.16. Medication Compliance for Clinical Trials and General Usage
    • 3.14.17. Methods for Monitoring Vitals
    • 3.14.18. Mining, Processing, and Making Sense of Clinical Notes
    • 3.14.19. Patient Data Processing
    • 3.14.20. Predicting Illness and Patient Outcomes
    • 3.14.21. Skin Diagnostics for Healthcare
    • 3.14.22. Text Classification and Mining for Biomedical Literature
    • 3.14.23. Ultrasound Analysis
  • 3.15. Information Technology
    • 3.15.1. Augmented Reality/Virtual Reality Development
    • 3.15.2. Automated Code Development
    • 3.15.3. Computer-Aided Design
    • 3.15.4. Mobile Application Development
    • 3.15.5. Network/Information Technology Operations Monitoring and Management
    • 3.15.6. Simulating Worlds for AI Training
    • 3.15.7. Software Code Error Checking
    • 3.15.8. Website Personalization
  • 3.16. Insurance
    • 3.16.1. Converting Paperwork into Digital Data
    • 3.16.2. Patient Data Processing
    • 3.16.3. Claims Processing
    • 3.16.4. Image Analysis for Damage Assessment
  • 3.17. Investment
    • 3.17.1. Algorithmic Trading Strategy Performance Improvement
    • 3.17.2. Financial Search Engine
    • 3.17.3. Market Intelligence and Data Analytics for Investment
    • 3.17.4. Satellite Imagery for Geo-Analytics
  • 3.18. Legal
    • 3.18.1. Automated Report Generation
    • 3.18.2. Contract Analysis
    • 3.18.3. Legal Document Review and Research
  • 3.19. Logistics
    • 3.19.1. Demand Forecasting for Warehouse and Supply Chain
    • 3.19.2. Machine/Vehicular Object Detection/Identification/Avoidance
    • 3.19.3. Localization and Mapping
    • 3.19.4. Satellite Imagery for Geo-Analytics
    • 3.19.5. Supply Chain and Logistics (Freight Transport, Retail)
    • 3.19.6. Weather Forecasting
  • 3.20. Manufacturing
    • 3.20.1. 3D Printing Arm Control
    • 3.20.2. Digital Twins
    • 3.20.3. Energy Management
    • 3.20.4. Generative Design
    • 3.20.5. Human-Robot Collaboration Enhancement
    • 3.20.6. Localization and Mapping
    • 3.20.7. Machine/Vehicular Object Detection/Identification/Avoidance
    • 3.20.8. Predictive Maintenance
    • 3.20.9. Product Life Cycle Management
    • 3.20.10. Quality Monitoring
    • 3.20.11. Robotic and Machine Vision Enhancement
    • 3.20.12. Root Cause Analysis
    • 3.20.13. Sensor Data Fusion in Machinery
    • 3.20.14. Supply Chain Optimization
    • 3.20.15. Video Surveillance
    • 3.20.16. Voice/Speech Recognition
    • 3.20.17. Yield Improvement
  • 3.21. Media and Entertainment
    • 3.21.1. Algorithmic News Stories
    • 3.21.2. Audio and Video Mining
    • 3.21.3. Film Script Analysis
    • 3.21.4. Font Recognition and Suggestions
    • 3.21.5. Gesture Recognition
    • 3.21.6. Human Emotion Analysis
    • 3.21.7. Image Analysis for Journalism
    • 3.21.8. Music Production and Generation
    • 3.21.9. News and Feed Curation for Consumers
    • 3.21.10. Simulating Crowds
    • 3.21.11. Social Media Publishing and Management
    • 3.21.12. Video Compression
    • 3.21.13. Video Production & Editing
    • 3.21.14. Video Surveillance
  • 3.22. Oil, Gas, and Mining
    • 3.22.1. Automated Report Generation
    • 3.22.2. Oil Production Optimization
  • 3.23. Public Sector
    • 3.23.1. Agent-Based Simulations for Decision-Making
    • 3.23.2. Behavioral Analytics
    • 3.23.3. Converting Paperwork into Digital Data
    • 3.23.4. Crime Reduction and Prevention
    • 3.23.5. Crowd Analytics
    • 3.23.6. Dialect Classification
    • 3.23.7. Disaster and Emergency Management
    • 3.23.8. Facial Recognition
    • 3.23.9. License Plate Recognition
    • 3.23.10. Predicting Social Unrest and Geopolitical Events
    • 3.23.11. Real-Time Media and Social Intelligence
    • 3.23.12. Sentiment Analysis
    • 3.23.13. Social Media Bots
    • 3.23.14. Street Lighting
    • 3.23.15. Traffic Light Management
    • 3.23.16. Video Surveillance
    • 3.23.17. Waste Sorting and Recycling
    • 3.23.18. Weather Forecasting
  • 3.24. Real Estate
    • 3.24.1. Real Estate Development Optimization
  • 3.25. Retail
    • 3.25.1. Autonomous Stores
    • 3.25.2. Behavioral Analytics
    • 3.25.3. Clothes Sizing and Fitting
    • 3.25.4. Customer Service & Marketing Virtual Digital Assistants
    • 3.25.5. Customer Store Visit Analytics
    • 3.25.6. E-Commerce & Sales Virtual Digital Assistants
    • 3.25.7. Facial Recognition
    • 3.25.8. Human Emotion Analysis
    • 3.25.9. Intelligent Customer Relationship Management Systems
    • 3.25.10. Interactive Window Displays
    • 3.25.11. Inventory Management
    • 3.25.12. Machine/Vehicular Object Detection/Identification/Avoidance
    • 3.25.13. Predictive Analytics for Retail
    • 3.25.14. Real-Time Media and Social Intelligence
    • 3.25.15. Sentiment Analysis
    • 3.25.16. Supermarket Shelf Analytics
    • 3.25.17. Visual Search-Based E-Commerce
    • 3.25.18. Voice/Speech Recognition
    • 3.25.19. Weather Forecasting
    • 3.25.20. Workforce Management and Scheduling
  • 3.26. Scientific Research
    • 3.26.1. Create Synthetic Life Forms
    • 3.26.2. HPC Simulations
    • 3.26.3. Space Exploration
  • 3.27. Sports
    • 3.27.1. Athlete Fitness, Sleep Monitoring, and Performance Optimization
    • 3.27.2. Biomarker-Based Athlete Performance Optimization
    • 3.27.3. Game Outcome Predictions for Betting
    • 3.27.4. Real-Time Media and Social Intelligence
    • 3.27.5. Sports Teams Player Selection
    • 3.27.6. Sports Video and Statistics Analysis
    • 3.27.7. Video Surveillance
  • 3.28. Telecommunications
    • 3.28.1. Customer Service & Marketing Virtual Digital Assistants
    • 3.28.2. Fraud Mitigation
    • 3.28.3. Improve Customer Experience Management
    • 3.28.4. Intelligent Customer Relationship Management Systems
    • 3.28.5. Network/Information Technology Operations Monitoring and Management
    • 3.28.6. Predictive Maintenance
    • 3.28.7. Prevention against Cybersecurity Threats
    • 3.28.8. Compression
  • 3.29. Transportation
    • 3.29.1. Air Traffic Control and Management
    • 3.29.2. Localization and Mapping
    • 3.29.3. Machine/Vehicular Object Detection/Identification/Avoidance
    • 3.29.4. Predicting Traffic Density
    • 3.29.5. Predictive Maintenance
    • 3.29.6. Sensor Data Fusion in Machinery (Ships, Unmanned Ships)
    • 3.29.7. Vehicle Network and Data Security
    • 3.29.8. Weather Forecasting
  • 3.30. Meta Category Drivers: Analytics, Vision, and Language-Based Technologies
    • Digital
    • Digital
    • Management
    • Operations

4. Technology Issues

  • 4.1. Definition of AI
  • 4.2. A High Level Description of AI
    • 4.2.1. Machine Learning
    • 4.2.2. Deep Learning
    • 4.2.3. Natural Language Processing
    • 4.2.4. Computer Vision
    • 4.2.5. Machine Reasoning
    • 4.2.6. Strong AI
  • 4.3. Machine Learning vs. Deep Learning
    • 4.3.1. Structured Data vs. Unstructured Data
    • 4.3.2. Supervised vs. Unsupervised Learning
    • 4.3.3. An Example of Machine Learning
    • 4.3.4. An Example of Deep Learning
  • 4.4. Natural Language Processing
    • 4.4.1. Virtual Assistants Are Commonplace
      • 4.4.1.1. Amazon Alexa Voice Service
      • 4.4.1.2. Apple Siri
      • 4.4.1.3. Baidu Duer
      • 4.4.1.4. Microsoft Cortana
      • 4.4.1.5. Google Now
      • 4.4.1.6. Understanding Future Market Drivers
  • 4.5. Speech Recognition
  • 4.6. Computer Vision
  • 4.7. Machine Reasoning
  • 4.8. Reinforcement Learning
  • 4.9. Meta Learning
  • 4.10. Predictive Application Programming Interfaces
  • 4.11. Sensors
  • 4.12. AI for DevOps
  • 4.13. Future Directions
    • 4.13.1. The Next Wave
    • 4.13.2. Maintenance and Recovery
    • 4.13.3. AI Is Not Suitable for Some Kinds of Problems
    • 4.13.4. The Larger Impact

5. Key Industry Players

  • 5.1. Introduction
  • 5.2. AES Corporation
  • 5.3. AiCure
  • 5.4. Appier
  • 5.5. Apple
  • 5.6. Artificial Solutions International, AB
  • 5.7. Automat Technologies, Inc.
  • 5.8. Baidu
  • 5.9. Bloomberg
  • 5.10. Cobalt Speech
  • 5.11. Cogent Labs
  • 5.12. Cognitive Scale
  • 5.13. Continental AG
  • 5.14. Coursera
  • 5.15. Daisy Intelligence
  • 5.16. Darktrace
  • 5.17. Dataminr
  • 5.18. Declara
  • 5.19. Dynam.AI
  • 5.20. Facebook
  • 5.21. FinGenius
  • 5.22. Google
  • 5.23. Humley
  • 5.24. Inbenta
  • 5.25. Interactions
  • 5.26. IBM
  • 5.27. Intel
  • 5.28. IPsoft
  • 5.29. Knewton
  • 5.30. LendingClub
  • 5.31. Luminoso
  • 5.32. Microsoft
  • 5.33. MixMode
  • 5.34. Mobileye
  • 5.35. NEC
  • 5.36. Ntooitive Digital
  • 5.37. Nuance Communications
  • 5.38. NVIDIA
  • 5.39. Onfido
  • 5.40. Oracle
  • 5.41. Prism Skylabs
  • 5.42. Prophesee (formerly Chronocam)
  • 5.43. Qualcomm
  • 5.44. SecBI
  • 5.45. Salesforce
  • 5.46. Tesla
  • 5.47. ThetaRay
  • 5.48. Verint
  • 5.49. Voyager Labs
  • 5.50. Other Industry Players

6. Market Forecasts

  • 6.1. Forecast Methodology
  • 6.2. Global AI Market Forecasts
  • 6.3. Enterprise AI Revenue by Industry
  • 6.4. Enterprise AI Revenue by Technology
  • 6.5. AI Revenue by Industry Segment
    • 6.5.1. AI in the Advertising Industry
    • 6.5.2. AI in the Aerospace Industry
    • 6.5.3. AI in the Agriculture Industry
    • 6.5.4. AI in the Automotive Industry
    • 6.5.5. AI in the Building Automation Industry
    • 6.5.6. AI in the Business Services Industry
    • 6.5.7. AI in the Construction Industry
    • 6.5.8. AI in the Education Industry
    • 6.5.9. AI in the Energy Industry
    • 6.5.10. AI in the Fashion Industry
    • 6.5.11. AI in the Finance Industry
    • 6.5.12. AI in the Gaming Industry
    • 6.5.13. AI in the Healthcare Industry
    • 6.5.14. AI in the Information Technology Industry
    • 6.5.15. AI in the Insurance Industry
    • 6.5.16. AI in the Investment Industry
    • 6.5.17. AI in the Legal Industry
    • 6.5.18. AI in the Logistics Industry
    • 6.5.19. AI in the Manufacturing Industry
    • 6.5.20. AI in the Media & Entertainment Industry
    • 6.5.21. AI in the Oil, Gas, and Mining Industry
    • 6.5.22. AI in the Public Sector
    • 6.5.23. AI in the Real Estate Industry
    • 6.5.24. AI in the Retail Industry
    • 6.5.25. AI in the Scientific Research Industry
    • 6.5.26. AI in the Sports and Fitness Industry
    • 6.5.27. AI in the Telecommunications Industry
    • 6.5.28. AI in the Transportation Industry
  • 6.6. AI Revenue Forecasts by Technology
    • 6.6.1. Machine Learning
    • 6.6.2. Deep Learning
    • 6.6.3. Natural Language Processing
    • 6.6.4. Computer Vision
    • 6.6.5. Machine Reasoning
    • 6.6.6. Strong AI
  • 6.7. Enterprise AI-Revenue by Meta Category
    • 6.7.1. AI Revenue by Top 10 Meta Categories and Use Cases, Analytics
    • 6.7.2. AI Revenue by Meta Category and Use Cases, Language
    • 6.7.3. AI Revenue by Meta Category and Use Cases, Language and Analytics
    • 6.7.4. AI Revenue by Meta Category and Use Cases, Vision
    • 6.7.5. AI Revenue by Meta Category and Use Cases, Vision and Analytics
    • 6.7.6. AI Revenue by Meta Category and Use Cases, Vision and Language

7. Recommendations and Conclusions

8. Company Directory

9. Acronym and Abbreviation List

10. Table of Contents

11. Table of Charts and Figures

12. Scope of Study, Sources and Methodology, Notes

Tables

  • Enterprise AI Revenue by Region, World Markets: 2018-2025
  • Enterprise AI Revenue by Industry, World Markets: 2018-2025
  • Enterprise AI Revenue in the Advertising Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Aerospace Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Agriculture Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Automotive Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Building Automation Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Business Services Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Construction Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Education Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Energy Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Fashion Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Finance Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Gaming Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Healthcare Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Information Technology Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Insurance Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Investment Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Legal Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Logistics Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Manufacturing Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Media & Entertainment Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Oil, Gas, and Mining Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in Public Sector by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Real Estate Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Retail Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Scientific Research Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Sports and Fitness Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Telecommunications Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Transportation Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue by Technology, World Markets: 2018-2025
  • Enterprise Machine Learning Revenue by Region, World Markets: 2018-2025
  • Enterprise Deep Learning Revenue by Region, World Markets: 2018-2025
  • Enterprise Natural Language Processing Revenue by Region, World Markets: 2018-2025
  • Enterprise Computer Vision Revenue by Region, World Markets: 2018-2025
  • Enterprise Machine Reasoning Revenue by Region, World Markets: 2018-2025
  • Enterprise Strong AI Revenue by Region, World Markets: 2018-2025
  • Enterprise AI Revenue by Region and Technology, World Markets: 2018-2025
  • Enterprise AI Revenue in the Advertising Industry by Region and Technology, World Markets: 2018-2025
  • Enterprise AI Revenue in the Aerospace Industry by Region and Technology, World Markets: 2018-2025
  • Enterprise AI Revenue in the Agriculture Industry by Region and Technology, World Markets: 2018-2025
  • Enterprise AI Revenue in the Automotive Industry by Region and Technology, World Markets: 2018-2025
  • Enterprise AI Revenue in the Building Automation Industry by Region and Technology, World Markets: 2018-2025
  • Enterprise AI Revenue in Business Services by Region and Technology, World Markets: 2018-2025
  • Enterprise AI Revenue in the Construction Industry by Region and Technology, World Markets: 2018-2025
  • Enterprise AI Revenue in the Education Industry by Region and Technology, World Markets: 2018-2025
  • Enterprise AI Revenue in the Energy Industry by Region and Technology, World Markets: 2018-2025
  • Enterprise AI Revenue in the Fashion Industry by Region and Technology, World Markets: 2018-2025
  • Enterprise AI Revenue in the Finance Industry by Region and Technology, World Markets: 2018-2025
  • Enterprise AI Revenue in the Gaming Industry by Region and Technology, World Markets: 2018-2025
  • Enterprise AI Revenue in the Healthcare Industry by Region and Technology, World Markets: 2018-2025
  • Enterprise AI Revenue in the Information Technology Industry by Region and Technology, World Markets: 2018-2025
  • Enterprise AI Revenue in the Insurance Industry by Region and Technology, World Markets: 2018-2025
  • Enterprise AI Revenue in the Investment Industry by Region and Technology, World Markets: 2018-2025
  • Enterprise AI Revenue in the Legal Industry by Region and Technology, World Markets: 2018-2025
  • Enterprise AI Revenue in the Logistics Industry by Region and Technology, World Markets: 2018-2025
  • Enterprise AI Revenue in the Manufacturing Industry by Region and Technology, World Markets: 2018-2025
  • Enterprise AI Revenue in the Media & Entertainment Industry by Region and Technology, World Markets: 2018-2025
  • Enterprise AI Revenue in the Oil, Gas, and Mining Industry by Region and Technology, World Markets: 2018-2025
  • Enterprise AI Revenue in the Public Sector by Region and Technology, World Markets: 2018-2025
  • Enterprise AI Revenue in the Real Estate Industry by Region and Technology, World Markets: 2018-2025
  • Enterprise AI Revenue in the Retail Industry by Region and Technology, World Markets: 2018-2025
  • Enterprise AI Revenue in the Scientific Research Industry by Region and Technology, World Markets: 2018-2025
  • Enterprise AI Revenue in the Sports and Fitness Industry by Region and Technology, World Markets: 2018-2025
  • Enterprise AI Revenue in the Telecommunications Industry by Region and Technology, World Markets: 2018-2025
  • Enterprise AI Revenue in the Transportation Industry by Region and Technology, World Markets: 2018-2025
  • Enterprise AI-Driven Hardware Revenue by Technology Category, World Markets: 2018-2025
  • Enterprise AI-Driven Cloud Services Revenue by Region, World Markets: 2018-2025
  • Enterprise AI-Driven CPU/ASIC/FPGA Revenue by Region, World Markets: 2018-2025
  • Enterprise AI-Driven GPU Revenue by Region, World Markets: 2018-2025
  • Enterprise AI-Driven Network Product Revenue by Region, World Markets: 2018-2025
  • Enterprise AI-Driven Storage Device Revenue by Region, World Markets: 2018-2025
  • Enterprise AI-Driven Services Revenue by Service Category, World Markets: 2018-2025
  • Enterprise AI-Driven Installation Services Revenue by Region, World Markets: 2018-2025
  • Enterprise AI-Driven Training Revenue by Region, World Markets: 2018-2025
  • Enterprise AI-Driven Customization Revenue by Region, World Markets: 2018-2025
  • Enterprise AI-Driven Application Integration Services Revenue by Region, World Markets: 2018-2025
  • Enterprise AI-Driven Maintenance and Support Services Revenue by Region, World Markets: 2018-2025
  • Enterprise AI Revenue by Meta Category, World Markets:
  • AI Revenue by Meta Category and Use Case, Analytics, World Markets: 2018-2025
  • AI Revenue by Meta Category and Use Case, Language, World Markets: 2018-2025
  • AI Revenue by Meta Category and Use Case, Language and Analytics, World Markets: 2018-2025
  • AI Revenue by Meta Category and Use Case, Vision, World Markets: 2018-2025
  • AI Revenue by Meta Category and Use Case, Vision and Analytics, World Markets: 2018-2025
  • AI Revenue by Meta Category and Use Case, Vision and Language, World Markets: 2018-2025
  • Additional Industry Participants

Charts

  • Enterprise AI Revenue by Region, World Markets: 2018-2025
  • Enterprise AI Revenue by Industry, World Markets: 2018
  • Enterprise AI Revenue by Technology, World Markets: 2018
  • Enterprise AI Revenue in the Advertising Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Aerospace Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Agriculture Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Automotive Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Building Automation Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Business Services Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Construction Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Education Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Energy Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Fashion Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Finance Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Gaming Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Healthcare Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Information Technology Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Insurance Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Investment Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Legal Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Logistics Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Manufacturing Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Media & Entertainment Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Oil, Gas, and Mining Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in Public Sector by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Real Estate Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Retail Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Scientific Research Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Sports and Fitness Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Telecommunications Industry by Region, World Markets: 2018-2025
  • Enterprise AI Revenue in the Transportation Industry by Region, World Markets: 2018-2025
  • Enterprise Machine Learning Revenue by Region, World Markets: 2018-2025
  • Enterprise Deep Learning Revenue by Region, World Markets: 2018-2025
  • Enterprise Natural Language Processing Revenue by Region, World Markets: 2018-2025
  • Enterprise Computer Vision Revenue by Region, World Markets: 2018-2025
  • Enterprise Machine Reasoning Revenue by Region, World Markets: 2018-2025
  • Enterprise Strong AI Revenue by Region, World Markets: 2018-2025
  • Enterprise AI Revenue by Meta Category, World Markets: 2018-2025
  • AI Revenue by Top 10 Meta Categories and Use Cases, Analytics, World Markets: 2018-2025
  • AI Revenue by Meta Category and Use Case, Language, World Markets: 2018-2025
  • AI Revenue by Meta Category and Use Case, Language and Analytics, World Markets: 2018-2025
  • AI Revenue by Meta Category and Use Case, Vision, World Markets: 2018-2025
  • AI Revenue by Meta Category and Use Case, Vision and Analytics, World Markets: 2018-2025
  • AI Revenue by Meta Category and Use Case, Vision and Language, World Markets: 2018-2025
  • Enterprise AI-Driven Services Revenue by Service Category, World Markets: 2018-2025
  • Enterprise AI-Driven Installation Services Revenue by Region, World Markets: 2018-2025
  • Enterprise AI-Driven Training Revenue by Region, World Markets: 2018-2025
  • Enterprise AI-Driven Customization Revenue by Region, World Markets: 2018-2025
  • Enterprise AI-Driven Application Integration Services Revenue by Region, World Markets: 2018-2025
  • Enterprise AI-Driven Maintenance and Support Services Revenue by Region, World Markets: 2018-2025
  • Enterprise AI-Driven Hardware Revenue by Technology Category, World Markets: 2018-2025
  • Enterprise AI-Driven Cloud Services Revenue by Region, World Markets: 2018-2025
  • Enterprise AI-Driven GPU Chip Revenue by Region, World Markets: 2018-2025
  • Enterprise AI-Driven CPU/ASIC/FPGA Revenue by Region, World Markets: 2018-2025
  • Enterprise AI-Driven Network Product Revenue by Region, World Markets: 2018-2025
  • Enterprise AI-Driven Storage Device Revenue by Region, World Markets: 2018-2025
  • Enterprise AI-Driven Hardware Revenue by Technology Category, World Markets: 2018-2025
  • Enterprise AI-Driven Cloud Services Revenue by Region, World Markets: 2018-2025
  • Enterprise AI-Driven CPU/ASIC/FPGA Revenue by Region, World Markets: 2018-2025
  • Enterprise AI-Driven GPU Revenue by Region, World Markets: 2018-2025
  • Enterprise AI-Driven Network Product Revenue by Region, World Markets: 2018-2025
  • Enterprise AI-Driven Storage Device Revenue by Region, World Markets: 2018-2025
  • Enterprise AI-Driven Services Revenue by Service Category, World Markets: 2018-2025
  • Enterprise AI-Driven Installation Services Revenue by Region, World Markets: 2018-2025
  • Enterprise AI-Driven Training Revenue by Region, World Markets: 2018-2025
  • Enterprise AI-Driven Customization Revenue by Region, World Markets: 2018-2025
  • Enterprise AI-Driven Application Integration Services Revenue by Region, World Markets: 2018-2025
  • Enterprise AI-Driven Maintenance and Support Services Revenue by Region, World Markets: 2018-2025

Figures

  • Machine Learning Algorithm Example
  • Deep Learning Algorithm Example
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