Global Information
회사소개 | 문의 | 위시리스트

세계의 기업용 인공지능(기업용 AI) 시장 분석과 예측 : 심층학습(DL), 기계학습(ML), 자연언어처리(NLP), 컴퓨터 비전, 기계 추론, 강한 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

리서치사 Tractica
발행일 2019년 09월 상품 코드 328668
페이지 정보 영문 278 Pages; 156 Tables, Charts & Figures
가격
US $ 4,500 ₩ 5,327,000 Basic License - PDF and Excel (1-5 Users)
US $ 6,750 ₩ 7,990,000 Enterprise License - PDF and Excel (Unlimited Users)


세계의 기업용 인공지능(기업용 AI) 시장 분석과 예측 : 심층학습(DL), 기계학습(ML), 자연언어처리(NLP), 컴퓨터 비전, 기계 추론, 강한 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
발행일 : 2019년 09월 페이지 정보 : 영문 278 Pages; 156 Tables, Charts & Figures

세계의 기업용 인공지능(기업용 AI : Artificial Intelligence for Enterprise Applications) 매출은 2018년의 76억 달러에서 2025년에는 1,073억 달러로 증가할 것으로 예측됩니다.

세계의 기업용 인공지능(기업용 AI) 시장에 대해 조사분석했으며, 사용 사례, 비지니스 모델, 시장 성장 촉진요인·장벽, 기술 과제, 시장 에코시스템의 진화 등에 관한 정보를 정리하여 전해드립니다.

제1장 개요

제2장 시장이 해결해야 할 과제

  • 시장 성장 촉진요인
  • 시장 장벽
  • 수익화와 새로운 비지니스 모델
  • AI 기업의 플랫폼 상황

제3장 기업의 사용 사례

  • 개요
  • 광고
  • 항공우주
  • 농업
  • 자동차
  • 빌딩 자동화
  • 비지니스 서비스
  • 건설
  • 교육
  • 에너지
  • 패션
  • 금융
  • 게임
  • 헬스케어
  • IT
  • 보험
  • 투자
  • 법무
  • 물류
  • 제조
  • 미디어·엔터테인먼트
  • 석유 및 가스, 광업
  • 공공 부문
  • 부동산
  • 소매
  • 과학 연구
  • 스포츠
  • 통신
  • 운송
  • 메타카테고리 촉진요인

제4장 기술 과제

  • AI의 정의
  • AI의 상세 설명
  • 기계학습(ML) vs. 심층학습(DL)
  • 자연언어처리(NLP)
  • 음성인식
  • 컴퓨터 비전
  • 기계 추론
  • 강화학습
  • 메타 러닝(Meta Learning)
  • 예측 API
  • 센서
  • DevOps용 AI
  • 향후 방향성

제5장 주요 시장 참여 기업

  • 서론
  • 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
  • NEC
  • Ntooitive Digital
  • Nuance Communications
  • NVIDIA
  • Onfido
  • Oracle
  • Prism Skylabs
  • Prophesee(구 Chronocam)
  • Qualcomm
  • SecBI
  • Salesforce
  • Tesla
  • ThetaRay
  • Verint
  • Voyager Labs
  • 기타

제6장 시장 예측

  • 예측 방법
  • 세계의 AI 시장 예측
  • 기업용 AI의 매출 : 산업별
  • 기업용 AI의 매출 : 기술별
  • AI의 매출 : 산업 부문별
  • AI의 매출 예측 : 기술별
  • 기업용 AI의 매출 : 메타카테고리별

제7장 제안과 결론

제8장 기업 디렉토리

제9장 약어 리스트

제10장 목차

제11장 도표

제12장 조사 범위, 정보원, 조사 방법, 주석

KSA 19.10.08

이 페이지에 게재되어 있는 내용은 최신판과 약간 차이가 있을 수 있으므로 영문목차를 함께 참조하여 주시기 바랍니다. 기타 자세한 사항은 문의 바랍니다.

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
Back to Top
전화 문의
F A Q