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市場調查報告書

人工智能 (AI)的全球市場 至2025年的預測:機器學習,自然語言處理 (NLP),情境感知運算,電腦視覺

Artificial Intelligence Market by Offering (Hardware, Software, Services), Technology (Machine Learning, Natural Language Processing, Context-Aware Computing, Computer Vision), End-User Industry, and Geography - Global Forecast to 2025

出版商 MarketsandMarkets 商品編碼 608820
出版日期 內容資訊 英文 224 Pages
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人工智能 (AI)的全球市場 至2025年的預測:機器學習,自然語言處理 (NLP),情境感知運算,電腦視覺 Artificial Intelligence Market by Offering (Hardware, Software, Services), Technology (Machine Learning, Natural Language Processing, Context-Aware Computing, Computer Vision), End-User Industry, and Geography - Global Forecast to 2025
出版日期: 2018年02月14日 內容資訊: 英文 224 Pages
簡介

全球人工智能市場 (AI) ,預計至2025年達到1,906億1,000萬美元規模,年複合成長率為36.62%。

本報告提供全球人工智能 (AI) 市場相關調查分析,市場概要,各產品、各技術、各終端用戶產業、各地區的考察市場,以及競爭情形,企業簡介等總括性彙整。

第1章 簡介

第2章 調查方法

第3章 摘要整理

第4章 考察

  • 人工智能市場機會
  • 人工智能市場:各處理器
  • 製造終端用戶產業的人工智能市場:各技術
  • 亞太地區的人工智能市場:各終端用戶產業
  • 全球人工智能市場:各國

第5章 市場概要

  • 簡介
  • 市場動態
  • AI的投資
  • 案例研究

第6章 人工智能市場:各類型

  • 簡介
  • 硬體設備
  • 軟體
  • 服務

第7章 人工智能市場:各技術

  • 簡介
  • 機器學習 (機器學習)
  • 自然語言處理 (NLP)
  • 情境感知計算
  • 電腦視覺

第8章 人工智能市場:各終端用戶產業

  • 簡介
  • 醫療
  • 製造
  • 汽車
  • 農業
  • 零售
  • 安全
  • 人力資源
  • 行銷
  • 法律
  • 金融科技

第9章 地區分析

  • 簡介
  • 北美
  • 歐洲
  • 亞太地區
  • 全球其他各國

第10章 競爭情形

  • 簡介
  • 排行榜分析:人工智能市場
  • 競爭情形與趨勢
  • 人工智能市場主要合併

第11章 企業簡介

  • 主要企業
    • INTEL
    • NVIDIA
    • SAMSUNG ELECTRONICS
    • XILINX
    • MICRON TECHNOLOGY
    • IBM
    • MICROSOFT
    • GOOGLE
    • AMAZON WEB SERVICES (AWS)
    • FACEBOOK
    • BAIDU
    • ORACLE
    • SALESFORCE
    • SAS
    • SAP
    • GENERAL ELECTRIC
    • ISCO
    • ROCKWELL
    • SIEMENS
  • 其他的企業

第12章 附錄

目錄
Product Code: SE 4053

"Artificial intelligence market to grow at a CAGR of 36.62% between 2018 and 2025"

The artificial intelligence market is expected to reach USD 190.61 billion by 2025 from USD 21.46 billion in 2018, at a CAGR of 36.62%. The market growth can be attributed to factors such as growing big data, the increasing adoption of cloud-based applications and services, and increasing demand for intelligent virtual assistants. The limited number of AI technology experts is restraining the market growth to a certain extent.

Software to hold largest market share during forecast period

Software is expected to hold the largest share of the artificial intelligence market. Continuous developments have been witnessed in AI software and related software development kits. Also, artificial intelligence software is used in various applications, such as virtual assistants, marketing, search advertising, identity access management, intruder detection, and cybersecurity.

Market for computer vision technology to grow at highest CAGR during forecast period

The artificial intelligence market for computer vision technology is expected to grow at the highest CAGR during the forecast period. The growing adoption of computer vision in autonomous and semiautonomous applications in various industries, such as manufacturing and automotive, is propelling the growth of this technology in the AI market.

North America to dominate artificial intelligence market during forecast period

North America is known for the high adoption of artificial intelligence. Increasing demand for intelligent virtual assistants acts as a driving force for the growth of the artificial intelligence market in the region. The market in North America is also characterized by high infrastructure costs and strict policies and regulatory frameworks. Companies such as IBM (US), Google (US), Microsoft (US), NVIDIA (US), Intel (US), Facebook (US), and AWS (US) are complementing the growth of the market in this region.

Breakdown of Primary Profiles of Primary Participants:

  • By Company Type: Tier 1-25%, Tier 2-30%, and Tier 3-45%
  • By Designation: C-Level Executives-45%, Directors-35%, and Others-20%
  • By Region: North America-40%, Europe-30%, APAC-25%, and RoW-5%

The key players operating in this market are Intel (US), NVIDIA (US), Xilinx (US), Samsung Electronics (South Korea), Facebook (US), Micron Technology (US), IBM (US), Google (US), Microsoft (US), and AWS (US).

Research Coverage:

Various market segments have been covered in this report. These include segments such as offering, technology, end-user industry, and geography. The report also provides a detailed overview of the market across 4 main regions-North America, Europe, APAC, and RoW.

Reasons to Buy the Report:

  • This report includes statistics pertaining to the artificial intelligence market in terms of offering, technology, end-user industry, and geography, along with their respective market size.
  • The report details the major drivers, restraints, opportunities, and challenges pertaining to the artificial intelligence market.
  • The report includes illustrative segmentation, analysis, and forecast for the artificial intelligence market based on its segments and subsegments.

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. STUDY OBJECTIVES
  • 1.2. DEFINITION
  • 1.3. STUDY SCOPE
    • 1.3.1. MARKETS COVERED
    • 1.3.2. YEARS CONSIDERED FOR THIS STUDY
  • 1.4. CURRENCY
  • 1.5. LIMITATIONS
  • 1.6. STAKEHOLDERS

2. RESEARCH METHODOLOGY

  • 2.1. RESEARCH DATA
    • 2.1.1. SECONDARY DATA
      • 2.1.1.1. Key data from secondary sources
    • 2.1.2. PRIMARY DATA
      • 2.1.2.1. Key data from primary sources
      • 2.1.2.2. Key industry insights
      • 2.1.2.3. Breakdown of primaries
  • 2.2. MARKET SIZE ESTIMATION
    • 2.2.1. BOTTOM-UP APPROACH
    • 2.2.2. TOP-DOWN APPROACH
  • 2.3. MARKET BREAKDOWN & DATA TRIANGULATION
  • 2.4. RESEARCH ASSUMPTIONS

3. EXECUTIVE SUMMARY

4. PREMIUM INSIGHTS

  • 4.1. ATTRACTIVE OPPORTUNITIES IN ARTIFICIAL INTELLIGENCE MARKET
  • 4.2. ARTIFICIAL INTELLIGENCE MARKET, BY PROCESSOR
  • 4.3. ARTIFICIAL INTELLIGENCE MARKET FOR MANUFACTURING END-USER INDUSTRY, BY TECHNOLOGY
  • 4.4. ARTIFICIAL INTELLIGENCE MARKET IN APAC, BY END-USER INDUSTRY
  • 4.5. ARTIFICIAL INTELLIGENCE MARKET, BY COUNTRY

5. MARKET OVERVIEW

  • 5.1. INTRODUCTION
  • 5.2. MARKET DYNAMICS
    • 5.2.1. DRIVERS
      • 5.2.1.1. Growth in big data
      • 5.2.1.2. Growth in adoption of cloud-based applications and services
      • 5.2.1.3. Increase in demand for intelligent virtual assistants
    • 5.2.2. RESTRAINTS
      • 5.2.2.1. Limited number of AI experts
    • 5.2.3. OPPORTUNITIES
      • 5.2.3.1. Improving operational efficiency in manufacturing industry
      • 5.2.3.2. Adoption of AI to improve customer service
    • 5.2.4. CHALLENGES
      • 5.2.4.1. Concerns regarding data privacy
      • 5.2.4.2. Unreliability of AI algorithms
  • 5.3. INVESTMENTS IN AI
  • 5.4. CASE STUDIES
    • 5.4.1. RETAIL
      • 5.4.1.1. Staples Inc. used IBM Watson to develop intelligent ordering system
      • 5.4.1.2. Icebreaker uses Salesforce Commerce Cloud Einstein for product recommendation
    • 5.4.2. MARKETING & SALES
      • 5.4.2.1. Max Kelsen used IBM Watson Discovery services to build insight engine
      • 5.4.2.2. Carrefour used Appier AI to grow online store purchases
    • 5.4.3. HEALTHCARE
      • 5.4.3.1. Pfizer Inc. utilizing IBM Watson for Drug Discovery
      • 5.4.3.2. Royal Philips and Nuance Communications to bring AI in radiology reporting
    • 5.4.4. FINTECH
      • 5.4.4.1. Assure Funding implemented Conversica's AI Sales Assistant
      • 5.4.4.2. Mastercard introduced Decision Intelligence, an AI based comprehensive decision and fraud detection service
    • 5.4.5. SECURITY
      • 5.4.5.1. AI based CylancePROTECT security solution For critical infrastructure
      • 5.4.5.2. Government adopted Darktrace AI solution to detect anomalies
    • 5.4.6. AGRICULTURE
      • 5.4.6.1. Plant count using artificial intelligence
      • 5.4.6.2. Farmers using AI-based sowing app developed by Microsoft in collaboration with ICRISAT
    • 5.4.7. MANUFACTURING
      • 5.4.7.1. Rolls Royce using Microsoft Cortana Intelligence for predictive maintenance
      • 5.4.7.2. Paper packaging firm used Sight Machine's Enterprise Manufacturing Analytics to improve production
    • 5.4.8. LAW
      • 5.4.8.1. Stek Advocaten uses ZyLAB ONE eDiscovery for data-intensive projects
      • 5.4.8.2. ASM International using AI for Legal Hold Notification and Workflow Management System

6. ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING

  • 6.1. INTRODUCTION
  • 6.2. HARDWARE
    • 6.2.1. PROCESSORS
      • 6.2.1.1. MPU
      • 6.2.1.2. GPU
      • 6.2.1.3. FPGA
      • 6.2.1.4. Others
    • 6.2.2. MEMORY
    • 6.2.3. NETWORK
  • 6.3. SOFTWARE
    • 6.3.1. AI PLATFORMS
      • 6.3.1.1. Application program interface (API)
      • 6.3.1.2. Machine learning framework
    • 6.3.2. AI SOLUTIONS
      • 6.3.2.1. On premises
      • 6.3.2.2. Cloud
  • 6.4. SERVICES
    • 6.4.1. DEPLOYMENT & INTEGRATION
    • 6.4.2. SUPPORT & MAINTENANCE

7. ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY

  • 7.1. INTRODUCTION
  • 7.2. MACHINE LEARNING
    • 7.2.1. DEEP LEARNING
    • 7.2.2. SUPERVISED LEARNING
    • 7.2.3. UNSUPERVISED LEARNING
    • 7.2.4. REINFORCEMENT LEARNING
    • 7.2.5. OTHERS
  • 7.3. NATURAL LANGUAGE PROCESSING (NLP)
  • 7.4. CONTEXT-AWARE COMPUTING
  • 7.5. COMPUTER VISION

8. ARTIFICIAL INTELLIGENCE MARKET, BY END-USER INDUSTRY

  • 8.1. INTRODUCTION
  • 8.2. HEALTHCARE
    • 8.2.1. PATIENT DATA & RISK ANALYSIS
    • 8.2.2. LIFESTYLE MANAGEMENT & MONITORING
    • 8.2.3. PRECISION MEDICINE
    • 8.2.4. INPATIENT CARE & HOSPITAL MANAGEMENT
    • 8.2.5. MEDICAL IMAGING & DIAGNOSTICS
    • 8.2.6. DRUG DISCOVERY
    • 8.2.7. VIRTUAL ASSISTANT
    • 8.2.8. WEARABLES
    • 8.2.9. RESEARCH
  • 8.3. MANUFACTURING
    • 8.3.1. MATERIAL MOVEMENT
    • 8.3.2. PREDICTIVE MAINTENANCE AND MACHINERY INSPECTION
    • 8.3.3. PRODUCTION PLANNING
    • 8.3.4. FIELD SERVICES
    • 8.3.5. RECLAMATION
    • 8.3.6. QUALITY CONTROL
  • 8.4. AUTOMOTIVE
    • 8.4.1. AUTONOMOUS DRIVING
    • 8.4.2. HMI
    • 8.4.3. SEMIAUTONOMOUS DRIVING
  • 8.5. AGRICULTURE
    • 8.5.1. PRECISION FARMING
    • 8.5.2. LIVESTOCK MONITORING
    • 8.5.3. DRONE ANALYTICS
    • 8.5.4. AGRICULTURAL ROBOTS
    • 8.5.5. OTHERS
  • 8.6. RETAIL
    • 8.6.1. PRODUCT RECOMMENDATION AND PLANNING
    • 8.6.2. CUSTOMER RELATIONSHIP MANAGEMENT
    • 8.6.3. VISUAL SEARCH
    • 8.6.4. VIRTUAL ASSISTANT
    • 8.6.5. PRICE OPTIMIZATION
    • 8.6.6. PAYMENT SERVICES MANAGEMENT
    • 8.6.7. SUPPLY CHAIN MANAGEMENT AND DEMAND PLANNING
    • 8.6.8. OTHERS
  • 8.7. SECURITY
    • 8.7.1. IDENTITY AND ACCESS MANAGEMENT
    • 8.7.2. RISK AND COMPLIANCE MANAGEMENT
    • 8.7.3. ENCRYPTION
    • 8.7.4. DATA LOSS PREVENTION
    • 8.7.5. UNIFIED THREAT MANAGEMENT
    • 8.7.6. ANTIVIRUS/ANTIMALWARE
    • 8.7.7. INTRUSION DETECTION/PREVENTION SYSTEMS
    • 8.7.8. OTHERS
  • 8.8. HUMAN RESOURCES
    • 8.8.1. VIRTUAL ASSISTANT
    • 8.8.2. APPLICANT TRACKING & ASSESSMENT
    • 8.8.3. PERSONALIZED LEARNING AND DEVELOPMENT
    • 8.8.4. HR ANALYTICS
    • 8.8.5. JOB RECOMMENDATION
    • 8.8.6. SENTIMENT ANALYSIS
  • 8.9. MARKETING
    • 8.9.1. SOCIAL MEDIA ADVERTISING
    • 8.9.2. SEARCH ADVERTISING
    • 8.9.3. DYNAMIC PRICING
    • 8.9.4. VIRTUAL ASSISTANT
    • 8.9.5. CONTENT CURATION
    • 8.9.6. SALES & MARKETING AUTOMATION
    • 8.9.7. ANALYTICS PLATFORM
    • 8.9.8. OTHERS
  • 8.10. LAW
    • 8.10.1. EDISCOVERY
    • 8.10.2. LEGAL RESEARCH
    • 8.10.3. CONTRACT ANALYSIS
    • 8.10.4. CASE PREDICTION
    • 8.10.5. COMPLIANCE
    • 8.10.6. OTHERS
  • 8.11. FINTECH
    • 8.11.1. VIRTUAL ASSISTANT
    • 8.11.2. BUSINESS ANALYTICS & REPORTING
    • 8.11.3. CUSTOMER BEHAVIOR ANALYTICS
    • 8.11.4. OTHERS

9. GEOGRAPHIC ANALYSIS

  • 9.1. INTRODUCTION
  • 9.2. NORTH AMERICA
    • 9.2.1. US
    • 9.2.2. CANADA
    • 9.2.3. MEXICO
  • 9.3. EUROPE
    • 9.3.1. UK
    • 9.3.2. GERMANY
    • 9.3.3. FRANCE
    • 9.3.4. ITALY
    • 9.3.5. SPAIN
    • 9.3.6. REST OF EUROPE
  • 9.4. APAC
    • 9.4.1. CHINA
    • 9.4.2. JAPAN
    • 9.4.3. SOUTH KOREA
    • 9.4.4. INDIA
    • 9.4.5. REST OF APAC
  • 9.5. REST OF THE WORLD
    • 9.5.1. SOUTH AMERICA
    • 9.5.2. MIDDLE EAST AND AFRICA

10. COMPETITIVE LANDSCAPE

  • 10.1. INTRODUCTION
  • 10.2. RANKING ANALYSIS: ARTIFICIAL INTELLIGENCE MARKET
  • 10.3. COMPETITIVE SITUATIONS AND TRENDS
    • 10.3.1. PRODUCT LAUNCHES
    • 10.3.2. AGREEMENTS, PARTNERSHIPS, COLLABORATIONS, AND CONTRACTS
    • 10.3.3. MERGERS & ACQUISITIONS
    • 10.3.4. EXPANSIONS
  • 10.4. MAJOR ACQUISITIONS IN ARTIFICIAL INTELLIGENCE MARKET BETWEEN 2012. AND 2017

11. COMPANY PROFILES (Business Overview, Products Offered, Recent Developments, SWOT Analysis, and MnM View)*

  • 11.1. KEY PLAYERS
    • 11.1.1. INTEL
    • 11.1.2. NVIDIA
    • 11.1.3. SAMSUNG ELECTRONICS
    • 11.1.4. XILINX
    • 11.1.5. MICRON TECHNOLOGY
    • 11.1.6. IBM
    • 11.1.7. MICROSOFT
    • 11.1.8. GOOGLE
    • 11.1.9. AMAZON WEB SERVICES (AWS)
    • 11.1.10. FACEBOOK
    • 11.1.11. BAIDU
    • 11.1.12. ORACLE
    • 11.1.13. SALESFORCE
    • 11.1.14. SAS
    • 11.1.15. SAP
    • 11.1.16. GENERAL ELECTRIC
    • 11.1.17. CISCO
    • 11.1.18. ROCKWELL
    • 11.1.19. SIEMENS
  • 11.2. OTHER COMPANIES
    • 11.2.1. GENERAL VISION
    • 11.2.2. GRAPHCORE
    • 11.2.3. MELLANOX TECHNOLOGIES
    • 11.2.4. DARKTRACE
    • 11.2.5. CYLANCE
    • 11.2.6. DIDI CHUXING
    • 11.2.7. ZOOX INC.
    • 11.2.8. FACE++
    • 11.2.9. INBENTA
    • 11.2.10. ZEPHYR HEALTH
    • 11.2.11. BUTTERFLY NETWORK
    • 11.2.12. ATOMWISE
    • 11.2.13. VICARIOUS
    • 11.2.14. PREFERRED NETWORK
    • 11.2.15. AIBRAIN
    • 11.2.16. WAVE COMPUTING
    • 11.2.17. MYTHIC
    • 11.2.18. ADAPTEVA, INC.
    • 11.2.19. KONIKU
    • 11.2.20. TENSTORRENT
    • 11.2.21. KNUEDGE
    • 11.2.22. SK HYNIX INC.
    • 11.2.23. PREOGRESS DATARMP
    • 11.2.24. DESCARTES LABS
    • 11.2.25. GAMAYA
    • 11.2.26. EC2CE
    • 11.2.27. PRECISION HAWK
    • 11.2.28. AGRIBOTIX
    • 11.2.29. NEURALA
    • 11.2.30. IRIS AUTOMATION
    • 11.2.31. PILOT AI LABS
    • 11.2.32. SENTIENT TECHNOLOGIES
    • 11.2.33. APPLIED BRAIN RESEARCH
    • 11.2.34. TWITTER
    • 11.2.35. INSIDESALES
    • 11.2.36. PERSADO
    • 11.2.37. MARIANA
    • 11.2.38. DRAWBRIDGE
    • 11.2.39. NARRATIVE SCIENCE
    • 11.2.40. APPIER
    • 11.2.41. GUMGUM
    • 11.2.42. ZENSED
    • 11.2.43. ZYLAB

*Details on Business Overview, Products Offered, Recent Developments, SWOT Analysis, and MnM View might not be captured in case of unlisted companies.

12. APPENDIX

  • 12.1. INSIGHTS FROM INDUSTRY EXPERTS
  • 12.2. DISCUSSION GUIDE
  • 12.3. KNOWLEDGE STORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 12.4. INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE
  • 12.5. AVAILABLE CUSTOMIZATIONS
  • 12.6. RELATED REPORTS
  • 12.7. AUTHOR DETAILS

LIST OF TABLES

  • TABLE 1: MAJOR INVESTMENTS IN AI, 2014-2018
  • TABLE 2: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2015-2025 (USD BILLION)
  • TABLE 3: ARTIFICIAL INTELLIGENCE MARKET FOR HARDWARE, BY END-USER INDUSTRY, 2015-2025 (USD BILLION)
  • TABLE 4: ARTIFICIAL INTELLIGENCE MARKET, BY HARDWARE, 2015-2025 (USD BILLION)
  • TABLE 5: ARTIFICIAL INTELLIGENCE MARKET, BY PROCESSOR, 2015-2025 (USD BILLION)
  • TABLE 6: ARTIFICIAL INTELLIGENCE MARKET, BY PROCESSOR, 2015-2025 (THOUSAND UNITS)
  • TABLE 7: ARTIFICIAL INTELLIGENCE MARKET FOR SOFTWARE, BY END-USER INDUSTRY, 2015-2025 (USD BILLION)
  • TABLE 8: ARTIFICIAL INTELLIGENCE MARKET, BY SOFTWARE, 2015-2025 (USD BILLION)
  • TABLE 9: ARTIFICIAL INTELLIGENCE MARKET FOR AI PLATFORMS, BY SOFTWARE, 2015-2025 (USD BILLION)
  • TABLE 10: ARTIFICIAL INTELLIGENCE MARKET FOR AI SOLUTIONS, BY DEPLOYMENT TYPE, 2015-2025 (USD BILLION)
  • TABLE 11: ARTIFICIAL INTELLIGENCE MARKET FOR SERVICES, BY END-USER INDUSTRY, 2015-2025 (USD MILLION)
  • TABLE 12: ARTIFICIAL INTELLIGENCE MARKET, BY SERVICE, 2015-2025 (USD BILLION)
  • TABLE 13: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2015-2025 (USD BILLION)
  • TABLE 14: ARTIFICIAL INTELLIGENCE MARKET FOR MACHINE LEARNING, BY END-USER INDUSTRY, 2015-2025 (USD BILLION)
  • TABLE 15: ARTIFICIAL INTELLIGENCE MARKET FOR MACHINE LEARNING, BY TYPE, 2015-2025 (USD BILLION)
  • TABLE 16: ARTIFICIAL INTELLIGENCE MARKET FOR NATURAL LANGUAGE PROCESSING, BY END-USER INDUSTRY, 2015-2025 (USD BILLION)
  • TABLE 17: ARTIFICIAL INTELLIGENCE MARKET FOR NATURAL LANGUAGE PROCESSING, BY PROCESS, 2015-2025 (USD BILLION)
  • TABLE 18: ARTIFICIAL INTELLIGENCE MARKET FOR CONTEXT-AWARE COMPUTING, BY END-USER INDUSTRY, 2015-2025 (USD BILLION)
  • TABLE 19: ARTIFICIAL INTELLIGENCE MARKET FOR CONTEXT-AWARE COMPUTING IN HEALTHCARE, BY PROCESS, 2015-2025 (USD BILLION)
  • TABLE 20: ARTIFICIAL INTELLIGENCE MARKET FOR COMPUTER VISION, BY END-USER INDUSTRY, 2015-2025 (USD MILLION)
  • TABLE 21: ARTIFICIAL INTELLIGENCE MARKET, BY END-USER INDUSTRY, 2015-2025 (USD BILLION)
  • TABLE 22: ARTIFICIAL INTELLIGENCE MARKET FOR HEALTHCARE, BY TECHNOLOGY, 2015-2025 (USD BILLION)
  • TABLE 23: ARTIFICIAL INTELLIGENCE MARKET FOR HEALTHCARE, BY REGION, 2015-2025 (USD BILLION)
  • TABLE 24: ARTIFICIAL INTELLIGENCE MARKET FOR HEALTHCARE, BY APPLICATION, 2015-2025 (USD BILLION)
  • TABLE 25: ARTIFICIAL INTELLIGENCE MARKET FOR MANUFACTURING, BY TECHNOLOGY, 2015-2025 (USD BILLION)
  • TABLE 26: ARTIFICIAL INTELLIGENCE MARKET FOR MANUFACTURING, BY REGION, 2015-2025 (USD BILLION)
  • TABLE 27: ARTIFICIAL INTELLIGENCE MARKET FOR MANUFACTURING, BY APPLICATION, 2015-2025 (USD BILLION)
  • TABLE 28: ARTIFICIAL INTELLIGENCE MARKET FOR AUTOMOTIVE, BY TECHNOLOGY, 2015-2025 (USD BILLION)
  • TABLE 29: ARTIFICIAL INTELLIGENCE MARKET FOR AUTOMOTIVE, BY REGION, 2015-2025 (USD BILLION)
  • TABLE 30: ARTIFICIAL INTELLIGENCE MARKET FOR AUTOMOTIVE, BY APPLICATION, 2015-2025 (USD MILLION)
  • TABLE 31: ARTIFICIAL INTELLIGENCE MARKET FOR AGRICULTURE, BY TECHNOLOGY, 2015-2025 (USD BILLION)
  • TABLE 32: ARTIFICIAL INTELLIGENCE MARKET FOR AGRICULTURE, BY REGION, 2015-2025 (USD BILLION)
  • TABLE 33: ARTIFICIAL INTELLIGENCE MARKET FOR AGRICULTURE, BY APPLICATION, 2015-2025 (USD MILLION)
  • TABLE 34: ARTIFICIAL INTELLIGENCE MARKET FOR RETAIL, BY TECHNOLOGY, 2015-2025 (USD MILLION)
  • TABLE 35: ARTIFICIAL INTELLIGENCE MARKET FOR RETAIL, BY REGION, 2015-2025 (USD BILLION)
  • TABLE 36: ARTIFICIAL INTELLIGENCE MARKET FOR RETAIL, BY APPLICATION, 2015-2025 (USD BILLION)
  • TABLE 37: ARTIFICIAL INTELLIGENCE MARKET FOR SECURITY, BY TECHNOLOGY, 2015-2025 (USD BILLION)
  • TABLE 38: ARTIFICIAL INTELLIGENCE MARKET FOR SECURITY, BY REGION, 2015-2025 (USD BILLION)
  • TABLE 39: ARTIFICIAL INTELLIGENCE MARKET FOR SECURITY, BY APPLICATION, 2015-2025 (USD BILLION)
  • TABLE 40: ARTIFICIAL INTELLIGENCE MARKET FOR HUMAN RESOURCES, BY TECHNOLOGY, 2015-2025 (USD MILLION)
  • TABLE 41: ARTIFICIAL INTELLIGENCE MARKET FOR HUMAN RESOURCES, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 42: ARTIFICIAL INTELLIGENCE MARKET FOR HUMAN RESOURCES, BY APPLICATION, 2015-2025 (USD MILLION)
  • TABLE 43: ARTIFICIAL INTELLIGENCE MARKET FOR MARKETING, BY TECHNOLOGY, 2015-2025 (USD BILLION)
  • TABLE 44: ARTIFICIAL INTELLIGENCE MARKET FOR MARKETING, BY REGION, 2015-2025 (USD BILLION)
  • TABLE 45: ARTIFICIAL INTELLIGENCE MARKET FOR MARKETING, BY APPLICATION, 2015-2025 (USD BILLION)
  • TABLE 46: ARTIFICIAL INTELLIGENCE MARKET FOR LAW, BY TECHNOLOGY, 2015-2025 (USD BILLION)
  • TABLE 47: ARTIFICIAL INTELLIGENCE MARKET FOR LAW, BY REGION, 2015-2025 (USD BILLION)
  • TABLE 48: ARTIFICIAL INTELLIGENCE MARKET FOR LAW, BY APPLICATION, 2015-2025 (USD MILLION)
  • TABLE 49: ARTIFICIAL INTELLIGENCE MARKET FOR FINTECH, BY TECHNOLOGY, 2015-2025 (USD BILLION)
  • TABLE 50: ARTIFICIAL INTELLIGENCE MARKET FOR FINTECH, BY REGION, 2015-2025 (USD BILLION)
  • TABLE 51: ARTIFICIAL INTELLIGENCE MARKET FOR FINTECH, BY APPLICATION, 2015-2025 (USD BILLION)
  • TABLE 52: ARTIFICIAL INTELLIGENCE MARKET FOR BUSINESS ANALYTICS & REPORTING, BY APPLICATION TYPE, 2015-2025 (USD BILLION)
  • TABLE 53: ARTIFICIAL INTELLIGENCE MARKET FOR CUSTOMER BEHAVIOR ANALYTICS, BY APPLICATION TYPE, 2015-2025 (USD BILLION)
  • TABLE 54: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2015-2025 (USD BILLION)
  • TABLE 55: ARTIFICIAL INTELLIGENCE MARKET IN NORTH AMERICA, BY END-USER INDUSTRY, 2015-2025 (USD BILLION)
  • TABLE 56: ARTIFICIAL INTELLIGENCE MARKET IN NORTH AMERICA, BY COUNTRY, 2015-2025 (USD BILLION)
  • TABLE 57: ARTIFICIAL INTELLIGENCE MARKET IN EUROPE, BY END-USER INDUSTRY, 2015-2025 (USD BILLION)
  • TABLE 58: ARTIFICIAL INTELLIGENCE MARKET IN EUROPE, BY COUNTRY, 2015-2025 (USD BILLION)
  • TABLE 59: ARTIFICIAL INTELLIGENCE MARKET IN APAC, BY END-USER INDUSTRY, 2015-2025 (USD BILLION)
  • TABLE 60: ARTIFICIAL INTELLIGENCE MARKET IN APAC, BY COUNTRY, 2015-2025 (USD BILLION)
  • TABLE 61: ARTIFICIAL INTELLIGENCE MARKET IN ROW, BY END-USER INDUSTRY, 2015-2025 (USD MILLION)
  • TABLE 62: ARTIFICIAL INTELLIGENCE MARKET IN ROW, BY REGION, 2015-2025 (USD BILLION)
  • TABLE 63: RANKING OF KEY COMPANIES IN ARTIFICIAL INTELLIGENCE MARKET (2017)
  • TABLE 64: PRODUCT LAUNCHES (2015-2018)
  • TABLE 65: AGREEMENTS, PARTNERSHIPS, COLLABORATIONS, AND CONTRACTS (2015-2018)
  • TABLE 66: MERGERS & ACQUISITIONS (2016-2017)
  • TABLE 67: EXPANSIONS(2015-2017)

LIST OF FIGURES

  • FIGURE 1: AI MARKET: RESEARCH DESIGN
  • FIGURE 2: MARKET SIZE ESTIMATION PROCESS FLOW
  • FIGURE 3: MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
  • FIGURE 4: MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH
  • FIGURE 5: MARKET BREAKDOWN & DATA TRIANGULATION
  • FIGURE 6: ARTIFICIAL INTELLIGENCE MARKET FOR SERVICES TO GROW AT HIGHEST CAGR BETWEEN 2018 AND 2025
  • FIGURE 7: ARTIFICIAL INTELLIGENCE MARKET FOR MEMORY TO GROW AT HIGHEST CAGR BETWEEN 2018 AND 2025
  • FIGURE 8: ARTIFICIAL INTELLIGENCE MARKET FOR COMPUTER VISION TO GROW AT HIGHEST CAGR BETWEEN 2018 AND 2025
  • FIGURE 9: ARTIFICIAL INTELLIGENCE MARKET FOR MANUFACTURING TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 10: ARTIFICIAL INTELLIGENCE MARKET IN APAC TO GROW AT HIGHEST CAGR BETWEEN 2018 AND 2025
  • FIGURE 11: ARTIFICIAL INTELLIGENCE MARKET IN APAC TO GROW AT HIGHEST CAGR BETWEEN 2018 AND 2025
  • FIGURE 12: ARTIFICIAL INTELLIGENCE MARKET FOR GPU TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 13: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET FOR MACHINE LEARNING TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 14: MARKETING TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE MARKET IN APAC IN 2018
  • FIGURE 15: ARTIFICIAL INTELLIGENCE MARKET IN CHINA TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 16: AI MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
  • FIGURE 17: ARTIFICIAL INTELLIGENCE MARKET FOR SERVICES TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 18: ARTIFICIAL INTELLIGENCE MARKET FOR GPU TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 19: ARTIFICIAL INTELLIGENCE MARKET FOR CLOUD-BASED DEPLOYMENT TO GROW AT HIGHER CAGR BETWEEN 2018 AND 2025
  • FIGURE 20: ARTIFICIAL INTELLIGENCE MARKET FOR COMPUTER VISION TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 21: ARTIFICIAL INTELLIGENCE MARKET FOR IVR TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 22: ARTIFICIAL INTELLIGENCE MARKET FOR MANUFACTURING TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 23: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET FOR MACHINE LEARNING TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 24: ARTIFICIAL INTELLIGENCE IN AUTOMOTIVE MARKET FOR AUTONOMOUS DRIVING TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 25: ARTIFICIAL INTELLIGENCE MARKET FOR RETAIL IN APAC TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 26: ARTIFICIAL INTELLIGENCE IN HR MARKET FOR MACHINE LEARNING TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 27: ARTIFICIAL INTELLIGENCE IN LAW MARKET FOR CONTRACT ANALYSIS TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 28: ARTIFICIAL INTELLIGENCE MARKET IN APAC TO GROW AT HIGHEST CAGR FROM 2018 TO 2025
  • FIGURE 29: ARTIFICIAL INTELLIGENCE MARKET IN CHINA TO GROW AT HIGHEST CAGR BETWEEN 2018 AND 2025
  • FIGURE 30: AI MARKET SNAPSHOT: NORTH AMERICA
  • FIGURE 31: AI MARKET SNAPSHOT: EUROPE
  • FIGURE 32: AI MARKET SNAPSHOT: APAC
  • FIGURE 33: COMPANIES ADOPTED PRODUCT LAUNCHES AS KEY GROWTH STRATEGY BETWEEN 2015 AND 2018
  • FIGURE 34: INTEL: COMPANY SNAPSHOT
  • FIGURE 35: NVIDIA: COMPANY SNAPSHOT
  • FIGURE 36: SAMSUNG ELECTRONICS: COMPANY SNAPSHOT
  • FIGURE 37: XILINX: COMPANY SNAPSHOT
  • FIGURE 38: MICRON TECHNOLOGY: COMPANY SNAPSHOT
  • FIGURE 39: IBM: COMPANY SNAPSHOT
  • FIGURE 40: MICROSOFT: COMPANY SNAPSHOT
  • FIGURE 41: GOOGLE: COMPANY SNAPSHOT
  • FIGURE 42: AWS: COMPANY SNAPSHOT
  • FIGURE 43: FACEBOOK: COMPANY SNAPSHOT
  • FIGURE 44: BAIDU: COMPANY SNAPSHOT
  • FIGURE 45: ORACLE: COMPANY SNAPSHOT
  • FIGURE 46: SALESFORCE: COMPANY SNAPSHOT
  • FIGURE 47: SAS: COMPANY SNAPSHOT
  • FIGURE 48: SAP: COMPANY SNAPSHOT
  • FIGURE 49: GENERAL ELECTRIC: COMPANY SNAPSHOT
  • FIGURE 50: CISCO: COMPANY SNAPSHOT
  • FIGURE 51: ROCKWELL: COMPANY SNAPSHOT
  • FIGURE 52: SIEMENS: COMPANY SNAPSHOT
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