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

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

MarketsandMarkets | ID: 1524160987178 | Published at: 2018-02-14 | Pages: 224

  • €4.785,63


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 participant profiles:
• 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 19

  • 1.1 STUDY OBJECTIVES 19
  • 1.2 DEFINITION 19
  • 1.3 STUDY SCOPE 20
    • 1.3.1 MARKETS COVERED 20
    • 1.3.2 YEARS CONSIDERED FOR THIS STUDY 20
  • 1.4 CURRENCY 21
  • 1.5 LIMITATIONS 21
  • 1.6 STAKEHOLDERS 21
    2 RESEARCH METHODOLOGY 22
  • 2.1 RESEARCH DATA 22
    • 2.1.1 SECONDARY DATA 23
      • 2.1.1.1 Key data from secondary sources 23
    • 2.1.2 PRIMARY DATA 23
      • 2.1.2.1 Key data from primary sources 24
      • 2.1.2.2 Key industry insights 25
      • 2.1.2.3 Breakdown of primaries 25
  • 2.2 MARKET SIZE ESTIMATION 26
    • 2.2.1 BOTTOM-UP APPROACH 27
    • 2.2.2 TOP-DOWN APPROACH 28
  • 2.3 MARKET BREAKDOWN & DATA TRIANGULATION 29
  • 2.4 RESEARCH ASSUMPTIONS 30
    3 EXECUTIVE SUMMARY 31
    4 PREMIUM INSIGHTS 36
  • 4.1 ATTRACTIVE OPPORTUNITIES IN ARTIFICIAL INTELLIGENCE MARKET 36
  • 4.2 ARTIFICIAL INTELLIGENCE MARKET, BY PROCESSOR 36
  • 4.3 ARTIFICIAL INTELLIGENCE MARKET FOR MANUFACTURING END-USER INDUSTRY,
    BY TECHNOLOGY 37
  • 4.4 ARTIFICIAL INTELLIGENCE MARKET IN APAC, BY END-USER INDUSTRY 38
  • 4.5 ARTIFICIAL INTELLIGENCE MARKET, BY COUNTRY 39

5 MARKET OVERVIEW 40

  • 5.1 INTRODUCTION 40
  • 5.2 MARKET DYNAMICS 40
    • 5.2.1 DRIVERS 40
      • 5.2.1.1 Growth in big data 40
      • 5.2.1.2 Growth in adoption of cloud-based applications and services 41
      • 5.2.1.3 Increase in demand for intelligent virtual assistants 41
    • 5.2.2 RESTRAINTS 42
      • 5.2.2.1 Limited number of AI experts 42
    • 5.2.3 OPPORTUNITIES 42
      • 5.2.3.1 Improving operational efficiency in manufacturing industry 42
      • 5.2.3.2 Adoption of AI to improve customer service 42
    • 5.2.4 CHALLENGES 43
      • 5.2.4.1 Concerns regarding data privacy 43
      • 5.2.4.2 Unreliability of AI algorithms 43
  • 5.3 INVESTMENTS IN AI 44
  • 5.4 CASE STUDIES 49
    • 5.4.1 RETAIL 49
      • 5.4.1.1 Staples Inc. used IBM Watson to develop intelligent ordering system 49
      • 5.4.1.2 Icebreaker uses Salesforce Commerce Cloud Einstein for product recommendation 49
    • 5.4.2 MARKETING & SALES 49
      • 5.4.2.1 Max Kelsen used IBM Watson Discovery services to build insight engine 49
      • 5.4.2.2 Carrefour used Appier AI to grow online store purchases 49
    • 5.4.3 HEALTHCARE 49
      • 5.4.3.1 Pfizer Inc. utilizing IBM Watson for Drug Discovery 49
      • 5.4.3.2 Royal Philips and Nuance Communications to bring AI in radiology reporting 50
    • 5.4.4 FINTECH 50
      • 5.4.4.1 Assure Funding implemented Conversica’s AI Sales Assistant 50
      • 5.4.4.2 Mastercard introduced Decision Intelligence, an AI based comprehensive decision and fraud detection service 50
    • 5.4.5 SECURITY 50
      • 5.4.5.1 AI based CylancePROTECT security solution For critical infrastructure 50
      • 5.4.5.2 Government adopted Darktrace AI solution to detect anomalies 50
    • 5.4.6 AGRICULTURE 51
      • 5.4.6.1 Plant count using artificial intelligence 51
      • 5.4.6.2 Farmers using AI-based sowing app developed by Microsoft in collaboration with ICRISAT 51
    • 5.4.7 MANUFACTURING 51
      • 5.4.7.1 Rolls Royce using Microsoft Cortana Intelligence for predictive maintenance 51
      • 5.4.7.2 Paper packaging firm used Sight Machine’s Enterprise Manufacturing Analytics to improve production 51
    • 5.4.8 LAW 51
      • 5.4.8.1 Stek Advocaten uses ZyLAB ONE eDiscovery for data-intensive projects 51
      • 5.4.8.2 ASM International using AI for Legal Hold Notification and Workflow Management System 52
        6 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING 53
  • 6.1 INTRODUCTION 54
  • 6.2 HARDWARE 55
    • 6.2.1 PROCESSORS 56
      • 6.2.1.1 MPU 58
      • 6.2.1.2 GPU 58
      • 6.2.1.3 FPGA 58
      • 6.2.1.4 Others 58
    • 6.2.2 MEMORY 59
    • 6.2.3 NETWORK 59
  • 6.3 SOFTWARE 59
    • 6.3.1 AI PLATFORMS 61
      • 6.3.1.1 Application program interface (API) 61
      • 6.3.1.2 Machine learning framework 61
    • 6.3.2 AI SOLUTIONS 62
      • 6.3.2.1 On premises 62
      • 6.3.2.2 Cloud 63
  • 6.4 SERVICES 63
    • 6.4.1 DEPLOYMENT & INTEGRATION 64
    • 6.4.2 SUPPORT & MAINTENANCE 64
      7 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY 65
  • 7.1 INTRODUCTION 66
  • 7.2 MACHINE LEARNING 67
    • 7.2.1 DEEP LEARNING 68
    • 7.2.2 SUPERVISED LEARNING 68
    • 7.2.3 UNSUPERVISED LEARNING 69
    • 7.2.4 REINFORCEMENT LEARNING 69
    • 7.2.5 OTHERS 69
  • 7.3 NATURAL LANGUAGE PROCESSING (NLP) 69
  • 7.4 CONTEXT-AWARE COMPUTING 71
  • 7.5 COMPUTER VISION 73

8 ARTIFICIAL INTELLIGENCE MARKET, BY END-USER INDUSTRY 74

  • 8.1 INTRODUCTION 75
  • 8.2 HEALTHCARE 76
    • 8.2.1 PATIENT DATA & RISK ANALYSIS 78
    • 8.2.2 LIFESTYLE MANAGEMENT & MONITORING 79
    • 8.2.3 PRECISION MEDICINE 79
    • 8.2.4 INPATIENT CARE & HOSPITAL MANAGEMENT 79
    • 8.2.5 MEDICAL IMAGING & DIAGNOSTICS 79
    • 8.2.6 DRUG DISCOVERY 80
    • 8.2.7 VIRTUAL ASSISTANT 80
    • 8.2.8 WEARABLES 80
    • 8.2.9 RESEARCH 81
  • 8.3 MANUFACTURING 81
    • 8.3.1 MATERIAL MOVEMENT 83
    • 8.3.2 PREDICTIVE MAINTENANCE AND MACHINERY INSPECTION 83
    • 8.3.3 PRODUCTION PLANNING 84
    • 8.3.4 FIELD SERVICES 84
    • 8.3.5 RECLAMATION 84
    • 8.3.6 QUALITY CONTROL 84
  • 8.4 AUTOMOTIVE 85
    • 8.4.1 AUTONOMOUS DRIVING 87
    • 8.4.2 HMI 87
    • 8.4.3 SEMIAUTONOMOUS DRIVING 88
  • 8.5 AGRICULTURE 88
    • 8.5.1 PRECISION FARMING 90
    • 8.5.2 LIVESTOCK MONITORING 90
    • 8.5.3 DRONE ANALYTICS 90
    • 8.5.4 AGRICULTURAL ROBOTS 90
    • 8.5.5 OTHERS 91
  • 8.6 RETAIL 91
    • 8.6.1 PRODUCT RECOMMENDATION AND PLANNING 93
    • 8.6.2 CUSTOMER RELATIONSHIP MANAGEMENT 93
    • 8.6.3 VISUAL SEARCH 94
    • 8.6.4 VIRTUAL ASSISTANT 94
    • 8.6.5 PRICE OPTIMIZATION 94
    • 8.6.6 PAYMENT SERVICES MANAGEMENT 94
    • 8.6.7 SUPPLY CHAIN MANAGEMENT AND DEMAND PLANNING 95
    • 8.6.8 OTHERS 95
  • 8.7 SECURITY 95
    • 8.7.1 IDENTITY AND ACCESS MANAGEMENT 97
    • 8.7.2 RISK AND COMPLIANCE MANAGEMENT 97
    • 8.7.3 ENCRYPTION 98
    • 8.7.4 DATA LOSS PREVENTION 98
    • 8.7.5 UNIFIED THREAT MANAGEMENT 98
    • 8.7.6 ANTIVIRUS/ANTIMALWARE 98
    • 8.7.7 INTRUSION DETECTION/PREVENTION SYSTEMS 98
    • 8.7.8 OTHERS 99
  • 8.8 HUMAN RESOURCES 99
    • 8.8.1 VIRTUAL ASSISTANT 102
    • 8.8.2 APPLICANT TRACKING & ASSESSMENT 102
    • 8.8.3 PERSONALIZED LEARNING AND DEVELOPMENT 102
    • 8.8.4 HR ANALYTICS 102
    • 8.8.5 JOB RECOMMENDATION 102
    • 8.8.6 SENTIMENT ANALYSIS 102
  • 8.9 MARKETING 103
    • 8.9.1 SOCIAL MEDIA ADVERTISING 105
    • 8.9.2 SEARCH ADVERTISING 105
    • 8.9.3 DYNAMIC PRICING 105
    • 8.9.4 VIRTUAL ASSISTANT 105
    • 8.9.5 CONTENT CURATION 105
    • 8.9.6 SALES & MARKETING AUTOMATION 106
    • 8.9.7 ANALYTICS PLATFORM 106
    • 8.9.8 OTHERS 106
  • 8.10 LAW 106
    • 8.10.1 EDISCOVERY 108
    • 8.10.2 LEGAL RESEARCH 109
    • 8.10.3 CONTRACT ANALYSIS 109
    • 8.10.4 CASE PREDICTION 109
    • 8.10.5 COMPLIANCE 109
    • 8.10.6 OTHERS 109
  • 8.11 FINTECH 109
    • 8.11.1 VIRTUAL ASSISTANT 111
    • 8.11.2 BUSINESS ANALYTICS & REPORTING 111
    • 8.11.3 CUSTOMER BEHAVIOR ANALYTICS 112
    • 8.11.4 OTHERS 113
      9 GEOGRAPHIC ANALYSIS 114
  • 9.1 INTRODUCTION 115
  • 9.2 NORTH AMERICA 117
    • 9.2.1 US 120
    • 9.2.2 CANADA 120
    • 9.2.3 MEXICO 120
  • 9.3 EUROPE 121
    • 9.3.1 UK 124
    • 9.3.2 GERMANY 124
    • 9.3.3 FRANCE 124
    • 9.3.4 ITALY 125
    • 9.3.5 SPAIN 125
    • 9.3.6 REST OF EUROPE 125
  • 9.4 APAC 126
    • 9.4.1 CHINA 129
    • 9.4.2 JAPAN 129
    • 9.4.3 SOUTH KOREA 129
    • 9.4.4 INDIA 130
    • 9.4.5 REST OF APAC 130
  • 9.5 REST OF THE WORLD 130
    • 9.5.1 SOUTH AMERICA 132
    • 9.5.2 MIDDLE EAST AND AFRICA 132
      10 COMPETITIVE LANDSCAPE 133
  • 10.1 INTRODUCTION 133
  • 10.2 RANKING ANALYSIS: ARTIFICIAL INTELLIGENCE MARKET 134
  • 10.3 COMPETITIVE SITUATIONS AND TRENDS 135
    • 10.3.1 PRODUCT LAUNCHES 135
    • 10.3.2 AGREEMENTS, PARTNERSHIPS, COLLABORATIONS, AND CONTRACTS 136
    • 10.3.3 MERGERS & ACQUISITIONS 137
    • 10.3.4 EXPANSIONS 138
  • 10.4 MAJOR ACQUISITIONS IN ARTIFICIAL INTELLIGENCE MARKET BETWEEN
    2012 AND 2017 46
    11 COMPANY PROFILES 139
    (Business Overview, Products Offered, Recent Developments, SWOT Analysis, and MnM View)*
  • 11.1 KEY PLAYERS 139
    • 11.1.1 INTEL 139
    • 11.1.2 NVIDIA 143
    • 11.1.3 SAMSUNG ELECTRONICS 148
    • 11.1.4 XILINX 152
    • 11.1.5 MICRON TECHNOLOGY 156
    • 11.1.6 IBM 159
    • 11.1.7 MICROSOFT 163
    • 11.1.8 GOOGLE 167
    • 11.1.9 AMAZON WEB SERVICES (AWS) 170
    • 11.1.10 FACEBOOK 173
    • 11.1.11 BAIDU 176
    • 11.1.12 ORACLE 178
    • 11.1.13 SALESFORCE 182
    • 11.1.14 SAS 184
    • 11.1.15 SAP 186
    • 11.1.16 GENERAL ELECTRIC 188
    • 11.1.17 CISCO 191
    • 11.1.18 ROCKWELL 193
    • 11.1.19 SIEMENS 195
  • 11.2 OTHER COMPANIES 197
    • 11.2.1 GENERAL VISION 197
    • 11.2.2 GRAPHCORE 197
    • 11.2.3 MELLANOX TECHNOLOGIES 198
    • 11.2.4 DARKTRACE 198
    • 11.2.5 CYLANCE 199
    • 11.2.6 DIDI CHUXING 199
    • 11.2.7 ZOOX INC. 200
    • 11.2.8 FACE++ 200
    • 11.2.9 INBENTA 200
    • 11.2.10 ZEPHYR HEALTH 201
    • 11.2.11 BUTTERFLY NETWORK 201
    • 11.2.12 ATOMWISE 201
    • 11.2.13 VICARIOUS 202
    • 11.2.14 PREFERRED NETWORK 202
    • 11.2.15 AIBRAIN 202
    • 11.2.16 WAVE COMPUTING 203
    • 11.2.17 MYTHIC 203
    • 11.2.18 ADAPTEVA, INC. 204
    • 11.2.19 KONIKU 204
    • 11.2.20 TENSTORRENT 205
    • 11.2.21 KNUEDGE 205
    • 11.2.22 SK HYNIX INC. 205
    • 11.2.23 PREOGRESS DATARMP 206
    • 11.2.24 DESCARTES LABS 206
    • 11.2.25 GAMAYA 206
    • 11.2.26 EC2CE 207
    • 11.2.27 PRECISION HAWK 207
    • 11.2.28 AGRIBOTIX 207
    • 11.2.29 NEURALA 208
    • 11.2.30 IRIS AUTOMATION 208
    • 11.2.31 PILOT AI LABS 208
    • 11.2.32 SENTIENT TECHNOLOGIES 209
    • 11.2.33 APPLIED BRAIN RESEARCH 209
    • 11.2.34 TWITTER 209
    • 11.2.35 INSIDESALES 210
    • 11.2.36 PERSADO 210
    • 11.2.37 MARIANA 211
    • 11.2.38 DRAWBRIDGE 211
    • 11.2.39 NARRATIVE SCIENCE 212
    • 11.2.40 APPIER 212
    • 11.2.41 GUMGUM 213
    • 11.2.42 ZENSED 213
    • 11.2.43 ZYLAB 214
*Details on Business Overview, Products Offered, Recent Developments, SWOT Analysis, and MnM View might not be captured in case of unlisted companies.
12 APPENDIX 215
  • 12.1 INSIGHTS FROM INDUSTRY EXPERTS 215
  • 12.2 DISCUSSION GUIDE 216
  • 12.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 218
  • 12.4 INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE 220
  • 12.5 AVAILABLE CUSTOMIZATIONS 221
  • 12.6 RELATED REPORTS 221
  • 12.7 AUTHOR DETAILS 222

LIST OF TABLES

TABLE 1 MAJOR INVESTMENTS IN AI, 2014–2018 44
TABLE 2 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2015–2025 (USD BILLION) 54
TABLE 3 ARTIFICIAL INTELLIGENCE MARKET FOR HARDWARE, BY END-USER INDUSTRY, 2015–2025 (USD BILLION) 55
TABLE 4 ARTIFICIAL INTELLIGENCE MARKET, BY HARDWARE, 2015–2025 (USD BILLION) 56
TABLE 5 ARTIFICIAL INTELLIGENCE MARKET, BY PROCESSOR, 2015–2025 (USD BILLION) 57
TABLE 6 ARTIFICIAL INTELLIGENCE MARKET, BY PROCESSOR,
2015–2025 (THOUSAND UNITS) 58
TABLE 7 ARTIFICIAL INTELLIGENCE MARKET FOR SOFTWARE, BY END-USER INDUSTRY, 2015–2025 (USD BILLION) 60
TABLE 8 ARTIFICIAL INTELLIGENCE MARKET, BY SOFTWARE, 2015–2025 (USD BILLION) 60
TABLE 9 ARTIFICIAL INTELLIGENCE MARKET FOR AI PLATFORMS, BY SOFTWARE,
2015–2025 (USD BILLION) 61
TABLE 10 ARTIFICIAL INTELLIGENCE MARKET FOR AI SOLUTIONS, BY DEPLOYMENT TYPE, 2015–2025 (USD BILLION) 62
TABLE 11 ARTIFICIAL INTELLIGENCE MARKET FOR SERVICES, BY END-USER INDUSTRY, 2015–2025 (USD MILLION) 63
TABLE 12 ARTIFICIAL INTELLIGENCE MARKET, BY SERVICE, 2015–2025 (USD BILLION) 64
TABLE 13 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2015–2025 (USD BILLION) 66
TABLE 14 ARTIFICIAL INTELLIGENCE MARKET FOR MACHINE LEARNING, BY END-USER INDUSTRY, 2015–2025 (USD BILLION) 67
TABLE 15 ARTIFICIAL INTELLIGENCE MARKET FOR MACHINE LEARNING, BY TYPE,
2015–2025 (USD BILLION) 68
TABLE 16 ARTIFICIAL INTELLIGENCE MARKET FOR NATURAL LANGUAGE PROCESSING,
BY END-USER INDUSTRY, 2015–2025 (USD BILLION) 70
TABLE 17 ARTIFICIAL INTELLIGENCE MARKET FOR NATURAL LANGUAGE PROCESSING,
BY PROCESS, 2015–2025 (USD BILLION) 71
TABLE 18 ARTIFICIAL INTELLIGENCE MARKET FOR CONTEXT-AWARE COMPUTING, BY END-USER INDUSTRY, 2015–2025 (USD BILLION) 72
TABLE 19 ARTIFICIAL INTELLIGENCE MARKET FOR CONTEXT-AWARE COMPUTING IN HEALTHCARE, BY PROCESS, 2015–2025 (USD BILLION) 72
TABLE 20 ARTIFICIAL INTELLIGENCE MARKET FOR COMPUTER VISION, BY END-USER INDUSTRY, 2015–2025 (USD MILLION) 73
TABLE 21 ARTIFICIAL INTELLIGENCE MARKET, BY END-USER INDUSTRY,
2015–2025 (USD BILLION) 76
TABLE 22 ARTIFICIAL INTELLIGENCE MARKET FOR HEALTHCARE, BY TECHNOLOGY,
2015–2025 (USD BILLION) 77
TABLE 23 ARTIFICIAL INTELLIGENCE MARKET FOR HEALTHCARE, BY REGION,
2015–2025 (USD BILLION) 77
TABLE 24 ARTIFICIAL INTELLIGENCE MARKET FOR HEALTHCARE, BY APPLICATION,
2015–2025 (USD BILLION) 78
TABLE 25 ARTIFICIAL INTELLIGENCE MARKET FOR MANUFACTURING, BY TECHNOLOGY, 2015–2025 (USD BILLION) 82
TABLE 26 ARTIFICIAL INTELLIGENCE MARKET FOR MANUFACTURING, BY REGION,
2015–2025 (USD BILLION) 82
TABLE 27 ARTIFICIAL INTELLIGENCE MARKET FOR MANUFACTURING, BY APPLICATION, 2015–2025 (USD BILLION) 83
TABLE 28 ARTIFICIAL INTELLIGENCE MARKET FOR AUTOMOTIVE, BY TECHNOLOGY,
2015–2025 (USD BILLION) 85
TABLE 29 ARTIFICIAL INTELLIGENCE MARKET FOR AUTOMOTIVE, BY REGION,
2015–2025 (USD BILLION) 86
TABLE 30 ARTIFICIAL INTELLIGENCE MARKET FOR AUTOMOTIVE, BY APPLICATION,
2015–2025 (USD MILLION) 87
TABLE 31 ARTIFICIAL INTELLIGENCE MARKET FOR AGRICULTURE, BY TECHNOLOGY,
2015–2025 (USD BILLION) 88
TABLE 32 ARTIFICIAL INTELLIGENCE MARKET FOR AGRICULTURE, BY REGION,
2015–2025 (USD BILLION) 89
TABLE 33 ARTIFICIAL INTELLIGENCE MARKET FOR AGRICULTURE, BY APPLICATION,
2015–2025 (USD MILLION) 89
TABLE 34 ARTIFICIAL INTELLIGENCE MARKET FOR RETAIL, BY TECHNOLOGY,
2015–2025 (USD MILLION) 91
TABLE 35 ARTIFICIAL INTELLIGENCE MARKET FOR RETAIL, BY REGION,
2015–2025 (USD BILLION) 92
TABLE 36 ARTIFICIAL INTELLIGENCE MARKET FOR RETAIL, BY APPLICATION,
2015–2025 (USD BILLION) 93
TABLE 37 ARTIFICIAL INTELLIGENCE MARKET FOR SECURITY, BY TECHNOLOGY,
2015–2025 (USD BILLION) 96
TABLE 38 ARTIFICIAL INTELLIGENCE MARKET FOR SECURITY, BY REGION,
2015–2025 (USD BILLION) 96
TABLE 39 ARTIFICIAL INTELLIGENCE MARKET FOR SECURITY, BY APPLICATION,
2015–2025 (USD BILLION) 97
TABLE 40 ARTIFICIAL INTELLIGENCE MARKET FOR HUMAN RESOURCES, BY TECHNOLOGY, 2015–2025 (USD MILLION) 100
TABLE 41 ARTIFICIAL INTELLIGENCE MARKET FOR HUMAN RESOURCES, BY REGION,
2015–2025 (USD MILLION) 101
TABLE 42 ARTIFICIAL INTELLIGENCE MARKET FOR HUMAN RESOURCES, BY APPLICATION, 2015–2025 (USD MILLION) 101
TABLE 43 ARTIFICIAL INTELLIGENCE MARKET FOR MARKETING, BY TECHNOLOGY,
2015–2025 (USD BILLION) 103
TABLE 44 ARTIFICIAL INTELLIGENCE MARKET FOR MARKETING, BY REGION,
2015–2025 (USD BILLION) 104
TABLE 45 ARTIFICIAL INTELLIGENCE MARKET FOR MARKETING, BY APPLICATION,
2015–2025 (USD BILLION) 104
TABLE 46 ARTIFICIAL INTELLIGENCE MARKET FOR LAW, BY TECHNOLOGY,
2015–2025 (USD BILLION) 107
TABLE 47 ARTIFICIAL INTELLIGENCE MARKET FOR LAW, BY REGION,
2015–2025 (USD BILLION) 107
TABLE 48 ARTIFICIAL INTELLIGENCE MARKET FOR LAW, BY APPLICATION,
2015–2025 (USD MILLION) 108
TABLE 49 ARTIFICIAL INTELLIGENCE MARKET FOR FINTECH, BY TECHNOLOGY,
2015–2025 (USD BILLION) 110
TABLE 50 ARTIFICIAL INTELLIGENCE MARKET FOR FINTECH, BY REGION,
2015–2025 (USD BILLION) 110
TABLE 51 ARTIFICIAL INTELLIGENCE MARKET FOR FINTECH, BY APPLICATION,
2015–2025 (USD BILLION) 111
TABLE 52 ARTIFICIAL INTELLIGENCE MARKET FOR BUSINESS ANALYTICS & REPORTING,
BY APPLICATION TYPE, 2015–2025 (USD BILLION) 112
TABLE 53 ARTIFICIAL INTELLIGENCE MARKET FOR CUSTOMER BEHAVIOR ANALYTICS,
BY APPLICATION TYPE, 2015–2025 (USD BILLION) 112
TABLE 54 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2015–2025 (USD BILLION) 116
TABLE 55 ARTIFICIAL INTELLIGENCE MARKET IN NORTH AMERICA, BY END-USER INDUSTRY, 2015–2025 (USD BILLION) 119
TABLE 56 ARTIFICIAL INTELLIGENCE MARKET IN NORTH AMERICA, BY COUNTRY,
2015–2025 (USD BILLION) 119
TABLE 57 ARTIFICIAL INTELLIGENCE MARKET IN EUROPE, BY END-USER INDUSTRY,
2015–2025 (USD BILLION) 123
TABLE 58 ARTIFICIAL INTELLIGENCE MARKET IN EUROPE, BY COUNTRY,
2015–2025 (USD BILLION) 123
TABLE 59 ARTIFICIAL INTELLIGENCE MARKET IN APAC, BY END-USER INDUSTRY,
2015–2025 (USD BILLION) 128
TABLE 60 ARTIFICIAL INTELLIGENCE MARKET IN APAC, BY COUNTRY,
2015–2025 (USD BILLION) 128
TABLE 61 ARTIFICIAL INTELLIGENCE MARKET IN ROW, BY END-USER INDUSTRY,
2015–2025 (USD MILLION) 131
TABLE 62 ARTIFICIAL INTELLIGENCE MARKET IN ROW, BY REGION,
2015–2025 (USD BILLION) 131
TABLE 63 RANKING OF KEY COMPANIES IN ARTIFICIAL INTELLIGENCE MARKET (2017) 134
TABLE 64 PRODUCT LAUNCHES (2015–2018) 135
TABLE 65 AGREEMENTS, PARTNERSHIPS, COLLABORATIONS, AND CONTRACTS
(2015–2018) 136
TABLE 66 MERGERS & ACQUISITIONS (2016-2017) 137
TABLE 67 EXPANSIONS 138


LIST OF FIGURES

FIGURE 1 AI MARKET: RESEARCH DESIGN 22
FIGURE 2 MARKET SIZE ESTIMATION PROCESS FLOW 26
FIGURE 3 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH 27
FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH 28
FIGURE 5 MARKET BREAKDOWN & DATA TRIANGULATION 29
FIGURE 6 ARTIFICIAL INTELLIGENCE MARKET FOR SERVICES TO GROW AT HIGHEST CAGR BETWEEN 2018 AND 2025 32
FIGURE 7 ARTIFICIAL INTELLIGENCE MARKET FOR MEMORY TO GROW AT HIGHEST CAGR BETWEEN 2018 AND 2025 32
FIGURE 8 ARTIFICIAL INTELLIGENCE MARKET FOR COMPUTER VISION TO GROW AT HIGHEST CAGR BETWEEN 2018 AND 2025 33
FIGURE 9 ARTIFICIAL INTELLIGENCE MARKET FOR MANUFACTURING TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 34
FIGURE 10 ARTIFICIAL INTELLIGENCE MARKET IN APAC TO GROW AT HIGHEST CAGR BETWEEN 2018 AND 2025 35
FIGURE 11 ARTIFICIAL INTELLIGENCE MARKET IN APAC TO GROW AT HIGHEST CAGR BETWEEN 2018 AND 2025 36
FIGURE 12 ARTIFICIAL INTELLIGENCE MARKET FOR GPU TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 36
FIGURE 13 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET FOR MACHINE LEARNING TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 37
FIGURE 14 MARKETING TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE MARKET IN APAC IN 2018 38
FIGURE 15 ARTIFICIAL INTELLIGENCE MARKET IN CHINA TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 39
FIGURE 16 AI MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES 40
FIGURE 17 ARTIFICIAL INTELLIGENCE MARKET FOR SERVICES TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 54
FIGURE 18 ARTIFICIAL INTELLIGENCE MARKET FOR GPU TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 57
FIGURE 19 ARTIFICIAL INTELLIGENCE MARKET FOR CLOUD-BASED DEPLOYMENT TO GROW AT HIGHER CAGR BETWEEN 2018 AND 2025 62
FIGURE 20 ARTIFICIAL INTELLIGENCE MARKET FOR COMPUTER VISION TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 66
FIGURE 21 ARTIFICIAL INTELLIGENCE MARKET FOR IVR TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 70
FIGURE 22 ARTIFICIAL INTELLIGENCE MARKET FOR MANUFACTURING TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 75
FIGURE 23 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET FOR MACHINE LEARNING TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 81
FIGURE 24 ARTIFICIAL INTELLIGENCE IN AUTOMOTIVE MARKET FOR AUTONOMOUS DRIVING TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 86
FIGURE 25 ARTIFICIAL INTELLIGENCE MARKET FOR RETAIL IN APAC TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 92
FIGURE 26 ARTIFICIAL INTELLIGENCE IN HR MARKET FOR MACHINE LEARNING TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 100
FIGURE 27 ARTIFICIAL INTELLIGENCE IN LAW MARKET FOR CONTRACT ANALYSIS TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 108
FIGURE 28 ARTIFICIAL INTELLIGENCE MARKET IN APAC TO GROW AT HIGHEST CAGR FROM 2018 TO 2025 115
FIGURE 29 ARTIFICIAL INTELLIGENCE MARKET IN CHINA TO GROW AT HIGHEST CAGR BETWEEN 2018 AND 2025 116
FIGURE 30 AI MARKET SNAPSHOT: NORTH AMERICA 118
FIGURE 31 AI MARKET SNAPSHOT: EUROPE 122
FIGURE 32 AI MARKET SNAPSHOT: APAC 127
FIGURE 33 COMPANIES ADOPTED PRODUCT LAUNCHES AS KEY GROWTH STRATEGY BETWEEN 2015 AND 2018 133
FIGURE 34 INTEL: COMPANY SNAPSHOT 139
FIGURE 35 NVIDIA: COMPANY SNAPSHOT 144
FIGURE 36 SAMSUNG ELECTRONICS: COMPANY SNAPSHOT 148
FIGURE 37 XILINX: COMPANY SNAPSHOT 153
FIGURE 38 MICRON TECHNOLOGY: COMPANY SNAPSHOT 156
FIGURE 39 IBM: COMPANY SNAPSHOT 159
FIGURE 40 MICROSOFT: COMPANY SNAPSHOT 164
FIGURE 41 GOOGLE: COMPANY SNAPSHOT 167
FIGURE 42 AWS: COMPANY SNAPSHOT 170
FIGURE 43 FACEBOOK: COMPANY SNAPSHOT 173
FIGURE 44 BAIDU: COMPANY SNAPSHOT 176
FIGURE 45 ORACLE: COMPANY SNAPSHOT 179
FIGURE 46 SALESFORCE: COMPANY SNAPSHOT 182
FIGURE 47 SAS: COMPANY SNAPSHOT 184
FIGURE 48 SAP: COMPANY SNAPSHOT 186
FIGURE 49 GENERAL ELECTRIC: COMPANY SNAPSHOT 189
FIGURE 50 CISCO: COMPANY SNAPSHOT 191
FIGURE 51 ROCKWELL: COMPANY SNAPSHOT 193
FIGURE 52 SIEMENS: COMPANY SNAPSHOT 195

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