Artificial Intelligence Platform Market by Component (Tools, Services), Deployment Mode (Cloud, On-Premises), Application (Forecasts & Prescriptive Models, Chatbots, Speech Recognition, Text Recognition), End-User, and Region – Global Forecast to 2022

AI(人工知能)プラットフォームの世界市場予測(~2022年):ツール、サービス

◆タイトル:Artificial Intelligence Platform Market by Component (Tools, Services), Deployment Mode (Cloud, On-Premises), Application (Forecasts & Prescriptive Models, Chatbots, Speech Recognition, Text Recognition), End-User, and Region – Global Forecast to 2022
◆商品コード:TC-5742
◆調査・発行会社:MarketsandMarkets
◆発行日:2017年11月20日
◆ページ数:146
◆レポート形式:PDF / 英語
◆納品方法:Eメール(受注後24時間以内)
◆調査対象地域:グローバル
◆産業分野:IT
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【レポートの概要】

MarketsandMarketsが発行した当調査レポートでは、AI(人工知能)プラットフォームの世界市場について調査・分析し、エグゼクティブサマリー、市場インサイト、市場概観/市場動向、構成要素別分析、導入方式別分析、用途別分析、地域別分析、AI(人工知能)プラットフォームの世界市場規模及び予測、市場動向、競争状況、関連企業分析などの情報をお届けいたします。

“The Artificial Intelligence (AI) platform is projected to grow at a CAGR of 30.5% during the forecast period”The market for AI platform is expected to grow from USD 2.61 billion in 2017 to USD 9.88 billion by 2022, at a Compound Annual Growth Rate (CAGR) of 30.5%. The proliferation of data generation is the major factor driving the growth of the AI platform market. To sustain in a competitive market, analysis of raw data has become important to understand the customer behavior, increasing revenue and, better decision-making, for various industry sectors. In order to achieve efficiency across business processes, enterprises need to design and layout a plan of action. This can be done by properly implementing AI platform solutions into its operations.
Slow digitization rate across emerging economies is expected to be a major restraint for the AI platform market. The technical adaptability is the significant factor in AI platform deployment process. However, emerging economies are witnessing slow growth digitalization resulting into a slow growth rate of the AI platform market.
“Forecasts and prescriptive models application segment is expected to have the largest market size during the forecast period”
The applications in the AI platform market include forecasts and prescriptive models, chatbots, speech recognition, text recognition, and others (face detection and sentiment analysis). Forecasts and prescriptive models help various organizations to optimize their strategy and operational efforts by providing analysis of historical data. Moreover, the models are beneficial in the analysis of total sales, customer purchase behavior and patterns, and many more. To meet these requirements, various companies are deploying AI platform tools and solutions to get maximum benefits of the technology.
“Asia Pacific (APAC) is expected to witness the highest growth rate during the forecast period”
APAC is estimated to grow with the highest CAGR during the forecast period. Factors, such as higher technological advancement in the region, the rapid expansion of domestic enterprises, and higher development of infrastructure are driving the growth of AI platform across different industry verticals. The North American region is expected to have the largest market share during the forecast period. The major driving factors for the market are, need to analyze a large amount of data, smart city initiatives, and adoption of digital technology.

In the process of determining and verifying the market size for several segments and subsegments gathered through secondary research, extensive primary interviews were conducted with key people.
• By Company Type – Tier 1 – 20%, Tier 2 – 45%, and Tier 3 –35%
• By Designation – C-level – 48%, Director-level – 37%, and Others – 15%
• By Region –North America – 22%, Europe– 45%, APAC – 26% , and the Rest of the World (ROW)- 7%

Some of the major AI platform vendors are Microsoft (US), Google (US), Salesforce (US), IBM (US), Intel (US), Amazon Web Services (US), HPE (US), Ayasdi (US), Qualcomm Technologies (US), and Absolutdata (California, US).
Research Coverage
The AI platform market has been segmented on the basis of component (tools and services), deployment modes, application, end–user, and region. The AI platform solutions help AI platform software and service providers, Initial Public Offering/Venture Capitalists/Angel Investors, IT directors and consultants, BFSI, healthcare, retail, manufacturing, and Government Organizations to improve business operations, enhance decision–making, and reduce costs. The AI platform market segmented on the basis of the components include tools and services. The tools segment is further segmented into Natural Language Processing (NLP), and Machine Learning (ML). The services offered in the AI platform market include managed and professional. The deployment modes in AI platform market include cloud and on-premises. The applications are segmented into forecasts and prescriptive models, chatbots, speech recognition, text recognition, and others (face detection and sentiment analysis). The end-users are segmented into BFSI, manufacturing, healthcare, retail and eCommerce, research and academia, transportation, and others (oil and gas, and advertising). On the basis of regions, the AI platform market is segmented into North America, Europe, Asia Pacific (APAC), Middle East and Africa (MEA), and Latin America.

The report will help the market leaders and new entrants in the AI platform market in the following ways:
1. The report segments the market into various subsegments, hence it covers the market comprehensively. The report provides the closest approximations of the revenue numbers for the overall market and the subsegments. The market numbers are further split across different application areas and regions.
2. The report helps in understanding the overall growth of the market. It provides information on the key market drivers, restraints, challenges, and opportunities.
3. The report helps in understanding the competitors better and gaining more insights to strengthen the organization’s position in the market. The study also presents the positioning of the key players based on their product offerings and business strategies.

【レポートの目次】

TABLE OF CONTENTS

1 INTRODUCTION 13
1.1 OBJECTIVES OF THE STUDY 13
1.2 MARKET DEFINITION 13
1.3 MARKET SCOPE 14
1.4 YEARS CONSIDERED FOR THE STUDY 15
1.5 CURRENCY 15
1.6 STAKEHOLDERS 16
2 RESEARCH METHODOLOGY 17
2.1 RESEARCH DATA 17
2.1.1 SECONDARY DATA 18
2.1.2 PRIMARY DATA 18
2.1.2.1 Breakdown of primaries 18
2.1.2.2 Key industry insights 19
2.2 MARKET SIZE ESTIMATION 20
2.2.1 BOTTOM-UP APPROACH 21
2.2.2 TOP-DOWN APPROACH 22
2.3 RESEARCH ASSUMPTIONS 23
2.4 LIMITATIONS 23
3 EXECUTIVE SUMMARY 24
4 PREMIUM INSIGHTS 29
4.1 ATTRACTIVE MARKET OPPORTUNITIES IN THE ARTIFICIAL INTELLIGENCE PLATFORM MARKET 29
4.2 ARTIFICIAL INTELLIGENCE PLATFORM MARKET, BY END-USER, 2017–2022 30
4.3 ARTIFICIAL INTELLIGENCE PLATFORM MARKET LIFECYCLE ANALYSIS, BY REGION, 2017–2022 30
5 MARKET OVERVIEW 32
5.1 INTRODUCTION 32
5.2 ARTIFICIAL INTELLIGENCE PLATFORM ARCHITECTURE 32
5.3 REGULATORY IMPLICATIONS 33
5.3.1 INTRODUCTION 33
5.3.2 FEDERAL TRADE COMMISSION (FTC) 34
5.3.3 HEALTH INSURANCE PORTABILITY AND ACCOUNTABILITY ACT (HIPAA) 34
5.3.4 FOOD AND DRUG ADMINISTRATION (FDA) 34
5.3.5 INTERNATIONAL ORGANIZATION FOR STANDARDIZATION (ISO) 34

5.4 MARKET DYNAMICS 35
5.4.1 DRIVERS 35
5.4.1.1 Increasing demand for AI-based solutions 35
5.4.1.2 Proliferation in data generation 35
5.4.2 RESTRAINTS 36
5.4.2.1 Slow digitization rate across emerging economies 36
5.4.3 OPPORTUNITIES 36
5.4.3.1 Increasing demand for intelligent business processes 36
5.4.3.2 Growing innovations across end-users 36
5.4.4 CHALLENGES 37
5.4.4.1 Lack of skilled employees 37
5.4.4.2 Data privacy issues 37
6 ARTIFICIAL INTELLIGENCE PLATFORM MARKET, BY COMPONENT 38
6.1 INTRODUCTION 39
6.2 TOOLS 40
6.2.1 NATURAL LANGUAGE PROCESSING 40
6.2.2 MACHINE LEARNING 41
6.3 SERVICES 42
6.3.1 MANAGED SERVICES 43
6.3.2 PROFESSIONAL SERVICES 44
7 ARTIFICIAL INTELLIGENCE PLATFORM MARKET, BY DEPLOYMENT MODE 45
7.1 INTRODUCTION 46
7.2 CLOUD 47
7.3 ON-PREMISES 47
8 ARTIFICIAL INTELLIGENCE PLATFORM MARKET, BY APPLICATION 48
8.1 INTRODUCTION 49
8.2 FORECASTS AND PRESCRIPTIVE MODELS 50
8.3 CHATBOTS 51
8.4 SPEECH RECOGNITION 51
8.5 TEXT RECOGNITION 52
8.6 OTHERS 53
9 ARTIFICIAL INTELLIGENCE PLATFORM MARKET, BY END-USER 54
9.1 INTRODUCTION 55
9.2 MANUFACTURING 56
9.2.1 USE CASE 56
9.3 HEALTHCARE 58
9.3.1 USE CASE 58
9.4 BANKING, FINANCIAL SERVICES, AND INSURANCE 59
9.4.1 USE CASE 60
9.5 RESEARCH AND ACADEMIA 61
9.5.1 USE CASE 61
9.6 TRANSPORTATION 62
9.6.1 USE CASE 63
9.7 RETAIL AND ECOMMERCE 64
9.7.1 USE CASE 64
9.8 OTHERS 66
10 ARTIFICIAL INTELLIGENCE PLATFORM MARKET, BY REGION 67
10.1 INTRODUCTION 68
10.2 NORTH AMERICA 69
10.3 EUROPE 73
10.4 ASIA PACIFIC 76
10.5 MIDDLE EAST AND AFRICA 79
10.6 LATIN AMERICA 82
11 COMPETITIVE LANDSCAPE 85
11.1 OVERVIEW 85
11.1.1 KEY DEVELOPMENTS BY LEADING PLAYERS IN THE ARTIFICIAL INTELLIGENCE PLATFORM MARKET FOR 2015–2017 85
11.2 COMPETITIVE SITUATIONS AND TRENDS 86
11.2.1 NEW PRODUCT LAUNCHES 86
11.2.2 MERGERS AND ACQUISITIONS 87
11.2.3 AGREEMENTS, PARTNERSHIPS, AND COLLABORATIONS 89
11.3 MARKET RANKING OF PLAYERS IN THE ARTIFICIAL INTELLIGENCE PLATFORM MARKET, 2017 90
11.4 MICROQUADRANT OVERVIEW 91
11.4.1 VISIONARY LEADERS 91
11.4.2 INNOVATORS 91
11.4.3 DYNAMIC DIFFERENTIATORS 91
11.4.4 EMERGING COMPANIES 91
11.5 COMPETITIVE BENCHMARKING 93
11.5.1 STRENGTH OF PRODUCT PORTFOLIO IN THE ARTIFICIAL INTELLIGENCE PLATFORM MARKET 93
11.5.2 BUSINESS STRATEGY EXCELLENCE IN THE ARTIFICIAL INTELLIGENCE PLATFORM MARKET 94

12 COMPANY PROFILES 95
(Business Overview, Strength of Product Portfolio, Business Strategy Excellence, Recent Developments)*
12.1 MICROSOFT 95
12.2 GOOGLE 99
12.3 IBM 103
12.4 INTEL 106
12.5 INFOSYS 110
12.6 WIPRO 113
12.7 AYASDI 116
12.8 SALESFORCE 119
12.9 HPE 122
12.10 QUALCOMM TECHNOLOGIES 125
12.11 AMAZON WEB SERVICES 128
12.12 ABSOLUTDATA 131
12.13 SAP 133
*Details on Business Overview, Strength of Product Portfolio, Business Strategy Excellence, Recent Developments might not be captured in case of unlisted companies.
13 APPENDIX 136
13.1 DISCUSSION GUIDE 136
13.2 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 140
13.3 INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE 142
13.4 AVAILABLE CUSTOMIZATIONS 143
13.5 RELATED REPORTS 143
13.6 AUTHOR DETAILS 144

LIST OF TABLES

TABLE 1 UNITED STATES DOLLAR EXCHANGE RATE, 2014–2016 15
TABLE 2 ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY COMPONENT,
2015–2022 (USD MILLION) 39
TABLE 3 COMPONENT: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY TOOL, 2015–2022 (USD MILLION) 40
TABLE 4 NATURAL LANGUAGE PROCESSING MARKET SIZE, BY DEPLOYMENT MODE,
2015–2022 (USD MILLION) 41
TABLE 5 MACHINE LEARNING MARKET SIZE, BY DEPLOYMENT MODE,
2015–2022 (USD MILLION) 42
TABLE 6 ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY SERVICE,
2015–2022 (USD MILLION) 42
TABLE 7 MANAGED SERVICES MARKET SIZE, BY DEPLOYMENT MODE,
2015–2022 (USD MILLION) 43
TABLE 8 PROFESSIONAL SERVICES MARKET SIZE, BY DEPLOYMENT MODE,
2015–2022 (USD MILLION) 44
TABLE 9 ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY DEPLOYMENT MODE, 2015–2022 (USD MILLION) 46
TABLE 10 ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY APPLICATION,
2015–2022 (USD MILLION) 50
TABLE 11 FORECASTS AND PRESCRIPTIVE MODELS: ARTIFICIAL INTELLIGENCE PLATFORM APPLICATION MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION) 51
TABLE 12 CHATBOTS: ARTIFICIAL INTELLIGENCE PLATFORM APPLICATION MARKET SIZE,
BY COMPONENT, 2015–2022 (USD MILLION) 51
TABLE 13 SPEECH RECOGNITION: ARTIFICIAL INTELLIGENCE PLATFORM APPLICATION MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION) 52
TABLE 14 TEXT RECOGNITION: ARTIFICIAL INTELLIGENCE PLATFORM APPLICATION MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION) 52
TABLE 15 OTHERS: ARTIFICIAL INTELLIGENCE PLATFORM APPLICATION MARKET SIZE,
BY COMPONENT, 2015–2022 (USD MILLION) 53
TABLE 16 ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY END-USER,
2015–2022 (USD MILLION) 56
TABLE 17 MANUFACTURING: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE,
BY COMPONENT, 2015–2022 (USD MILLION) 57
TABLE 18 MANUFACTURING: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE,
BY REGION, 2015–2022 (USD MILLION) 57
TABLE 19 HEALTHCARE: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE,
BY COMPONENT, 2015–2022 (USD MILLION) 59
TABLE 20 HEALTHCARE: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 59
TABLE 21 BANKING, FINANCIAL SERVICES, AND INSURANCE: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION) 60
TABLE 22 BANKING, FINANCIAL SERVICES, AND INSURANCE: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 61
TABLE 23 RESEARCH AND ACADEMIA: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION) 62
TABLE 24 RESEARCH AND ACADEMIA: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 62
TABLE 25 TRANSPORTATION: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE,
BY COMPONENT, 2015–2022 (USD MILLION) 63
TABLE 26 TRANSPORTATION: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE,
BY REGION, 2015–2022 (USD MILLION) 64
TABLE 27 RETAIL AND ECOMMERCE: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION) 65
TABLE 28 RETAIL AND ECOMMERCE: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 65
TABLE 29 OTHERS: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION) 66
TABLE 30 OTHERS: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY REGION,
2015–2022 (USD MILLION) 66
TABLE 31 ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY REGION,
2015–2022 (USD MILLION) 68
TABLE 32 NORTH AMERICA: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE,
BY COMPONENT, 2015–2022 (USD MILLION) 71
TABLE 33 NORTH AMERICA: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE,
BY TOOL, 2015–2022 (USD MILLION) 71
TABLE 34 NORTH AMERICA: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE,
BY SERVICE, 2015–2022 (USD MILLION) 71
TABLE 35 NORTH AMERICA: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE,
BY DEPLOYMENT MODE, 2015–2022 (USD MILLION) 72
TABLE 36 NORTH AMERICA: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE,
BY APPLICATION, 2015–2022 (USD MILLION) 72
TABLE 37 NORTH AMERICA: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE,
BY END-USER, 2015–2022 (USD MILLION) 73
TABLE 38 EUROPE: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION) 73
TABLE 39 EUROPE: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY TOOL,
2015–2022 (USD MILLION) 74
TABLE 40 EUROPE: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY SERVICE,
2015–2022 (USD MILLION) 74
TABLE 41 EUROPE: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE,
BY DEPLOYMENT MODE, 2015–2022 (USD MILLION) 74
TABLE 42 EUROPE: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY APPLICATION, 2015–2022 (USD MILLION) 75
TABLE 43 EUROPE: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY END-USER, 2015–2022 (USD MILLION) 75
TABLE 44 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE,
BY COMPONENT, 2015–2022 (USD MILLION) 77
TABLE 45 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE,
BY TOOL, 2015–2022 (USD MILLION) 77
TABLE 46 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY SERVICE, 2015–2022 (USD MILLION) 77
TABLE 47 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE,
BY DEPLOYMENT MODE, 2015–2022 (USD MILLION) 78
TABLE 48 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE,
BY APPLICATION, 2015–2022 (USD MILLION) 78
TABLE 49 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY END-USER, 2015–2022 (USD MILLION) 79
TABLE 50 MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION) 79
TABLE 51 MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY TOOL, 2015–2022 (USD MILLION) 80
TABLE 52 MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY SERVICE, 2015–2022 (USD MILLION) 80
TABLE 53 MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY DEPLOYMENT MODE, 2015–2022 (USD MILLION) 80
TABLE 54 MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY APPLICATION, 2015–2022 (USD MILLION) 81
TABLE 55 MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY END-USER, 2015–2022 (USD MILLION) 81
TABLE 56 LATIN AMERICA: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE,
BY COMPONENT, 2015–2022 (USD MILLION) 82
TABLE 57 LATIN AMERICA: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY TOOL, 2015–2022 (USD MILLION) 82
TABLE 58 LATIN AMERICA: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY SERVICE, 2015–2022 (USD MILLION) 83
TABLE 59 LATIN AMERICA: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE,
BY DEPLOYMENT MODE, 2015–2022 (USD MILLION) 83
TABLE 60 LATIN AMERICA: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE,
BY APPLICATION, 2015–2022 (USD MILLION) 83
TABLE 61 LATIN AMERICA: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE,
BY END-USER, 2015–2022 (USD MILLION) 84


LIST OF FIGURES

FIGURE 1 GLOBAL ARTIFICIAL INTELLIGENCE PLATFORM MARKET: MARKET SEGMENTATION 14
FIGURE 2 GLOBAL ARTIFICIAL INTELLIGENCE PLATFORM MARKET: RESEARCH DESIGN 17
FIGURE 3 DATA TRIANGULATION 20
FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH 21
FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH 22
FIGURE 6 ARTIFICIAL INTELLIGENCE PLATFORM MARKET SNAPSHOT,
BY COMPONENT (2017 VS. 2022) 25
FIGURE 7 ARTIFICIAL INTELLIGENCE PLATFORM MARKET SNAPSHOT, BY TOOL 25
FIGURE 8 ARTIFICIAL INTELLIGENCE PLATFORM MARKET SNAPSHOT, BY SERVICE TYPE 26
FIGURE 9 ARTIFICIAL INTELLIGENCE PLATFORM MARKET SNAPSHOT,
BY DEPLOYMENT MODE 26
FIGURE 10 ARTIFICIAL INTELLIGENCE PLATFORM MARKET SNAPSHOT,
BY APPLICATION (2017 VS. 2022) 27
FIGURE 11 ARTIFICIAL INTELLIGENCE PLATFORM MARKET SNAPSHOT,
BY END-USER (2017 VS. 2022) 27
FIGURE 12 ARTIFICIAL INTELLIGENCE PLATFORM MARKET SNAPSHOT, BY REGION 28
FIGURE 13 PROLIFERATION IN DATA GENERATION AND DEMAND FOR ARTIFICIAL INTELLIGENCE SOLUTIONS ARE EXPECTED TO DRIVE THE OVERALL GROWTH
OF THE ARTIFICIAL INTELLIGENCE PLATFORM MARKET 29
FIGURE 14 HEALTHCARE END-USER IS EXPECTED TO HAVE THE HIGHEST GROWTH RATE
IN THE ARTIFICIAL INTELLIGENCE PLATFORM MARKET DURING THE
FORECAST PERIOD 30
FIGURE 15 REGIONAL LIFECYCLE: ASIA PACIFIC IS EXPECTED TO EXHIBIT THE HIGHEST GROWTH POTENTIAL DURING THE FORECAST PERIOD 30
FIGURE 16 MARKET INVESTMENT SCENARIO: ASIA PACIFIC IS EXPECTED TO RISE AS THE
BEST OPPORTUNITY MARKET FOR INVESTMENT IN THE NEXT 5 YEARS 31
FIGURE 17 ARTIFICIAL INTELLIGENCE PLATFORM ARCHITECTURE 32
FIGURE 18 ARTIFICIAL INTELLIGENCE PLATFORM MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES 35
FIGURE 19 TOOLS SEGMENT IS EXPECTED TO EXHIBIT A HIGHER CAGR DURING
THE FORECAST PERIOD 39
FIGURE 20 MACHINE LEARNING TOOL IS EXPECTED TO EXHIBIT A HIGHER CAGR DURING
THE FORECAST PERIOD 40
FIGURE 21 MANAGED SERVICES SEGMENT IS EXPECTED TO LEAD THE ARTIFICIAL INTELLIGENCE PLATFORM MARKET DURING THE FORECAST PERIOD 43
FIGURE 22 CLOUD SEGMENT IS EXPECTED TO EXHIBIT A HIGHER CAGR DURING THE FORECAST PERIOD 46
FIGURE 23 TEXT RECOGNITION SEGMENT IS EXPECTED TO EXHIBIT THE HIGHEST CAGR DURING THE FORECAST PERIOD 49
FIGURE 24 HEALTHCARE END-USER IS EXPECTED TO EXHIBIT THE HIGHEST CAGR DURING THE FORECAST PERIOD 55
FIGURE 25 NORTH AMERICA IS EXPECTED TO HAVE THE LARGEST MARKET SHARE IN THE ARTIFICIAL INTELLIGENCE PLATFORM MARKET 68
FIGURE 26 ASIA PACIFIC IS EXPECTED TO HAVE THE HIGHEST GROWTH RATE IN THE ARTIFICIAL INTELLIGENCE PLATFORM MARKET DURING THE FORECAST PERIOD 69
FIGURE 27 NORTH AMERICA: MARKET SNAPSHOT 70
FIGURE 28 ASIA PACIFIC: MARKET SNAPSHOT 76
FIGURE 29 ARTIFICIAL INTELLIGENCE PLATFORM MARKET (GLOBAL) COMPETITIVE LEADERSHIP MAPPING, 2017 92
FIGURE 30 MICROSOFT: COMPANY SNAPSHOT 95
FIGURE 31 GOOGLE: COMPANY SNAPSHOT 99
FIGURE 32 IBM: COMPANY SNAPSHOT 103
FIGURE 33 INTEL: COMPANY SNAPSHOT 106
FIGURE 34 INFOSYS: COMPANY SNAPSHOT 110
FIGURE 35 WIPRO: COMPANY SNAPSHOT 113
FIGURE 36 SALESFORCE: COMPANY SNAPSHOT 119
FIGURE 37 HPE: COMPANY SNAPSHOT 122
FIGURE 38 QUALCOMM TECHNOLOGIES: COMPANY SNAPSHOT 125
FIGURE 39 AMAZON WEB SERVICES: COMPANY SNAPSHOT 128
FIGURE 40 SAP: COMPANY SNAPSHOT 133


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