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企業の人工知能(AI)市場:ソリューション・サービス毎、技術毎、用途分野毎(セキュリティ・リスク、マーケティング、顧客サポート・エクスペリエンス、人材・求人、プロセス自動化)、採用毎、企業規模毎、産業毎、地域毎 - 2022年までの市場予測

Enterprise AI Market by Component (Solution & Services), Technology, Application Area (Security & Risk, Marketing, Customer Support & Experience, HR & Recruitment, Process Automation), Deployment, Organization Size, Industry, & Region - Forecast to 2022

 

出版社 出版年月電子版価格 ページ数図表数
MarketsandMarkets
マーケッツアンドマーケッツ
2018年3月US$5,650
シングルユーザライセンス
140 119

サマリー

幅広い市場に関する調査レポートを出版しているマーケッツアンドマーケッツ(MarketsandMarkets)の企業の人工知能(AI)市場に関する調査レポートです。

The enterprise AI market is projected to grow at a CAGR of 48.7% during the forecast period

MarketsandMarkets expects the global enterprise Artificial Intelligence (AI) market to grow from USD 845.4 million in 2017 to USD 6,141.5 million by 2022, at a Compound Annual Growth Rate (CAGR) of 48.7% during the forecast period. The rising demand for AI-based solutions and platforms, and the need to analyze large and complex data sets are expected to drive the growth of the enterprise AI market. The slow digitization rate, affecting the adoption of enterprise AI solutions in the emerging economies, is expected to act as the major restraint for the market growth.

The cloud deployment type is expected to have the larger market share during the forecast period

In the enterprise AI market, the cloud deployment type offers multiple benefits, such as reduced operational and maintenance costs, fewer complexities, and more scalability. The enterprise AI providers are focusing on the deployment of robust cloud-based solutions for their clients, as many organizations have started adopting the cloud-based deployment type. Additionally, the cloud deployment type is user-friendly, cost-effective, and easy to access.

The machine learning and deep learning technology is expected to have the larger market size during the forecast period

The enterprise AI market by technology is subsegmented into machine learning and deep learning, and Natural Language Processing (NLP). Among these, the machine learning and deep learning segment is expected to have the larger market size during the forecast period.

The machine learning and deep learning technology offers the most robust methodology to tap into the area of context that involves human-computer interactions, and provides close predictions based on the past data. This technology is useful in enterprises for automating the business operations.

North America is expected to have the largest market size in the enterprise AI market during the forecast period

Among regions, North America is expected to have the largest market size in the enterprise AI market during the forecast period. The North American region has shown increased investments in the market, and several vendors have evolved to cater to the rapidly growing market. A considerable growth is expected in the region during the forecast period. The major initiatives taken for the growth of the enterprise AI technology have their origin in this region. The organizations in this region have lately been making the best use of technology to eliminate operational hassles and ease their functioning.

In-depth interviews were conducted with Chief Executive Officers (CEOs), marketing directors, innovation and technology directors, and executives from various key organizations operating in the enterprise AI market.

- By Company Type: Tier 1: 56%, Tier 2: 20%, and Tier 3: 24%
- By Designation: C-Level: 72%, Manager Level: 28%
- By Region: North America: 58%, Europe: 22%, and APAC: 20%

The report includes the study of the key players offering enterprise AI solutions, hardware, and services. IBM (US), Microsoft (US), AWS (US), Intel (US), Google (US), SAP (Germany), Sentient Technologies (US), Oracle (US), HPE (US), and Wipro (India) are a few companies that have been profiled in the report. The report includes an in-depth competitive analysis of these key enterprise AI market players, along with their company profiles, which include business overviews, product offerings, recent developments, and market strategies.

Research Coverage

The enterprise AI market has been segmented on the basis of components, technologies, services, application areas, deployment type, organization sizes, industries, and regions. The components segment is further segmented into solution and services. The services segment includes professional services and managed services. The technology segment of the enterprise AI market includes machine learning and deep learning, and NLP. The application area segment includes security and risk management, marketing management, customer support and experience, human resource and recruitment management, analytics application, and process automation. On the basis of deployment type, the enterprise AI market has been divided into cloud and on-premises deployments. On the basis of organization sizes, the enterprise AI market has been divided into Small and Medium-sized Businesses (SMBs) and large enterprises. Finally, on the basis of regions, the enterprise AI market has been 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 enterprise AI 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 various verticals 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 their positions in the market. The study also presents the positioning of the key players based on their product offerings and business strategies.



目次

1 INTRODUCTION 15
1.1 OBJECTIVES OF THE STUDY 15
1.2 MARKET DEFINITION 15
1.3 MARKET SCOPE 16
1.3.1 MARKETS COVERED 16
1.3.2 YEARS CONSIDERED FOR THE STUDY 17
1.4 CURRENCY 17
1.5 STAKEHOLDERS 17
2 RESEARCH METHODOLOGY 18
2.1 RESEARCH DATA 18
2.1.1 SECONDARY DATA 19
2.1.2 PRIMARY DATA 19
2.1.2.1 Breakdown of primaries 19
2.1.2.2 Key industry insights 20
2.2 MARKET SIZE ESTIMATION 21
2.2.1 BOTTOM-UP APPROACH 21
2.2.2 TOP-DOWN APPROACH 22
2.3 RESEARCH ASSUMPTIONS 22
2.4 LIMITATIONS 23
3 EXECUTIVE SUMMARY 24
4 PREMIUM INSIGHTS 29
4.1 ATTRACTIVE MARKET OPPORTUNITIES IN THE ENTERPRISE ARTIFICIAL
INTELLIGENCE MARKET 29
4.2 ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET: TOP 3 INDUSTRIES AND REGIONS 29
4.3 GROWTH RATE OF INDUSTRY DURING THE FORECAST PERIOD 30
5 MARKET OVERVIEW 31
5.1 INTRODUCTION 31
5.2 MARKET DYNAMICS 31
5.2.1 DRIVERS 32
5.2.1.1 Rising demand for AI-based solutions and platforms 32
5.2.1.2 Need for analyzing large and complex data sets 32
5.2.2 RESTRAINTS 32
5.2.2.1 Slow digitalization rate 32

5.2.3 OPPORTUNITIES 32
5.2.3.1 Growing demand for enhancing business functions 32
5.2.3.2 Emerging innovations across industries 33
5.2.4 CHALLENGES 33
5.2.4.1 Lack of skilled personnel 33
5.2.4.2 Concerns about data privacy 33
5.3 REGULATORY IMPLICATIONS 34
5.3.1 INTRODUCTION 34
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 USE CASES 35
5.4.1 USE CASE: 1 35
5.4.2 USE CASE: 2 35
5.4.3 USE CASE: 3 35
6 ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT 36
6.1 INTRODUCTION 37
6.2 SOLUTION 38
6.3 SERVICES 39
6.3.1 PROFESSIONAL SERVICES 39
6.3.2 MANAGED SERVICES 40
7 ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY 42
7.1 INTRODUCTION 43
7.2 MACHINE LEARNING AND DEEP LEARNING 44
7.3 NATURAL LANGUAGE PROCESSING 45
8 ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION AREA 47
8.1 INTRODUCTION 48
8.2 SECURITY AND RISK MANAGEMENT 49
8.3 MARKETING MANAGEMENT 49
8.4 CUSTOMER SUPPORT AND EXPERIENCE 50
8.5 HUMAN RESOURCES AND RECRUITMENT MANAGEMENT 51
8.6 ANALYTICS APPLICATION 52
8.7 PROCESS AUTOMATION 53
9 ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT TYPE 55
9.1 INTRODUCTION 56
9.2 CLOUD 57
9.3 ON-PREMISES 58
10 ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION SIZE 59
10.1 INTRODUCTION 60
10.2 SMALL AND MEDIUM-SIZED BUSINESSES 61
10.3 LARGE ENTERPRISES 61
11 ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET, BY INDUSTRY 63
11.1 INTRODUCTION 64
11.2 BANKING, FINANCIAL SERVICES, AND INSURANCE 65
11.3 ADVERTISING, MEDIA, AND ENTERTAINMENT 66
11.4 RETAIL AND ECOMMERCE 67
11.5 HEALTHCARE AND LIFE SCIENCES 67
11.6 GOVERNMENT AND DEFENSE 68
11.7 TRANSPORTATION 69
11.8 AGRICULTURE 69
11.9 MANUFACTURING 70
11.10 IT AND TELECOMMUNICATION 71
11.11 OTHERS 72
12 ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET, BY REGION 73
12.1 INTRODUCTION 74
12.2 NORTH AMERICA 76
12.3 EUROPE 81
12.4 ASIA PACIFIC 85
12.5 MIDDLE EAST AND AFRICA 90
12.6 LATIN AMERICA 95
13 COMPETITIVE LANDSCAPE 99
13.1 OVERVIEW 99
13.2 KEY PLAYERS IN THE ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET 100
13.3 COMPETITIVE SCENARIO 100
13.3.1 NEW PRODUCT LAUNCHES 100
13.3.2 AGREEMENTS, PARTNERSHIPS, AND COLLABORATIONS 102
13.3.3 MERGERS AND ACQUISITIONS 103
14 COMPANY PROFILES 105
(Business Overview, Solutions Offered, Recent Developments, SWOT Analysis, and MNM View)*
14.1 IBM 105
14.2 MICROSOFT 108
14.3 AWS 111
14.4 INTEL 114
14.5 GOOGLE 117
14.6 SAP 120
14.7 SENTIENT TECHNOLOGIES 123
14.8 ORACLE 124
14.9 HPE 126
14.10 WIPRO 128
*Details on Business Overview, Solutions Offered, Recent Developments, SWOT Analysis, and MNM View might not be captured in case of unlisted companies.
15 APPENDIX 130
15.1 INSIGHTS OF INDUSTRY EXPERTS 130
15.2 DISCUSSION GUIDE 131
15.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 135
15.4 INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE 137
15.5 RELATED REPORTS 138
15.6 AUTHOR DETAILS 139

 

LIST OF TABLES

TABLE 1 ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE, BY COMPONENT,
2015–2022 (USD MILLION) 37
TABLE 2 SOLUTION: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 38
TABLE 3 ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE, BY SERVICE,
2015–2022 (USD MILLION) 39
TABLE 4 PROFESSIONAL SERVICES MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 40
TABLE 5 MANAGED SERVICES MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 41
TABLE 6 ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE, BY TECHNOLOGY,
2015–2022 (USD MILLION) 43
TABLE 7 MACHINE LEARNING AND DEEP LEARNING: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 45
TABLE 8 NATURAL LANGUAGE PROCESSING: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 46
TABLE 9 ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE, BY APPLICATION AREA, 2015–2022 (USD MILLION) 48
TABLE 10 SECURITY AND RISK MANAGEMENT: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 49
TABLE 11 MARKETING MANAGEMENT: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 50
TABLE 12 CUSTOMER SUPPORT AND EXPERIENCE: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 51
TABLE 13 HUMAN RESOURCE AND RECRUITMENT MANAGEMENT: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 52
TABLE 14 ANALYTICS APPLICATION: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE,
BY REGION, 2015–2022 (USD MILLION) 53
TABLE 15 PROCESS AUTOMATION: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE,
BY REGION, 2015–2022 (USD MILLION) 54
TABLE 16 ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE, BY DEPLOYMENT TYPE, 2015–2022 (USD MILLION) 56
TABLE 17 CLOUD: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE, BY REGION,
2015–2022 (USD MILLION) 57
TABLE 18 ON-PREMISES: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 58
TABLE 19 ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE, BY ORGANIZATION SIZE, 2015–2022 (USD MILLION) 60
TABLE 20 SMALL AND MEDIUM-SIZED BUSINESSES: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 61
TABLE 21 LARGE ENTERPRISES: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE,
BY REGION, 2015–2022 (USD MILLION) 62
TABLE 22 ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE, BY INDUSTRY,
2015–2022 (USD MILLION) 65
TABLE 23 BANKING, FINANCIAL SERVICES, AND INSURANCE: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 66
TABLE 24 ADVERTISING, MEDIA, AND ENTERTAINMENT: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 66
TABLE 25 RETAIL AND ECOMMERCE: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE, BY REGION, 2017–2022 (USD MILLION) 67
TABLE 26 HEALTHCARE AND LIFE SCIENCES: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 68
TABLE 27 GOVERNMENT AND DEFENSE: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 68
TABLE 28 TRANSPORTATION: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE,
BY REGION, 2015–2022 (USD MILLION) 69
TABLE 29 AGRICULTURE: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 70
TABLE 30 MANUFACTURING: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE,
BY REGION, 2015–2022 (USD MILLION) 70
TABLE 31 IT AND TELECOMMUNICATION: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 71
TABLE 32 OTHERS: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 72
TABLE 33 ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE, BY REGION,
2015–2022 (USD MILLION) 75
TABLE 34 NORTH AMERICA: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE,
BY COMPONENT, 2015–2022 (USD MILLION) 78
TABLE 35 NORTH AMERICA: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE,
BY SERVICE, 2015–2022 (USD MILLION) 78
TABLE 36 NORTH AMERICA: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE,
BY TECHNOLOGY, 2015–2022 (USD MILLION) 78
TABLE 37 NORTH AMERICA: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE,
BY APPLICATION AREA, 2015–2022 (USD MILLION) 79
TABLE 38 NORTH AMERICA: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE,
BY DEPLOYMENT TYPE, 2015–2022 (USD MILLION) 79
TABLE 39 NORTH AMERICA: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE,
BY ORGANIZATION SIZE, 2015–2022 (USD MILLION) 80
TABLE 40 NORTH AMERICA: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE,
BY INDUSTRY, 2015–2022 (USD MILLION) 80
TABLE 41 EUROPE: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION) 82
TABLE 42 EUROPE: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE, BY SERVICE, 2015–2022 (USD MILLION) 82
TABLE 43 EUROPE: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE, BY TECHNOLOGY, 2015–2022 (USD MILLION) 82
TABLE 44 EUROPE: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE, BY APPLICATION AREA, 2015–2022 (USD MILLION) 83
TABLE 45 EUROPE: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE, BY DEPLOYMENT TYPE, 2015–2022 (USD MILLION) 83
TABLE 46 EUROPE: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE, BY ORGANIZATION SIZE, 2015–2022 (USD MILLION) 84
TABLE 47 EUROPE: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE, BY INDUSTRY, 2015–2022 (USD MILLION) 84
TABLE 48 ASIA PACIFIC: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE,
BY COMPONENT, 2015–2022 (USD MILLION) 87
TABLE 49 ASIA PACIFIC: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE,
BY TECHNOLOGY, 2015–2022 (USD MILLION) 87
TABLE 50 ASIA PACIFIC: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE,
BY APPLICATION AREA, 2015–2022 (USD MILLION) 88
TABLE 51 ASIA PACIFIC: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE,
BY DEPLOYMENT TYPE, 2015–2022 (USD MILLION) 88
TABLE 52 ASIA PACIFIC: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE,
BY ORGANIZATION SIZE, 2015–2022 (USD MILLION) 89
TABLE 53 ASIA PACIFIC: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE, BY SERVICE, 2015–2022 (USD MILLION) 89
TABLE 54 ASIA PACIFIC: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE, BY INDUSTRY, 2015–2022 (USD MILLION) 90
TABLE 55 MIDDLE EAST AND AFRICA: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION) 91
TABLE 56 MIDDLE EAST AND AFRICA: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE, BY TECHNOLOGY, 2015–2022 (USD MILLION) 91
TABLE 57 MIDDLE EAST AND AFRICA: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE, BY APPLICATION AREA, 2015–2022 (USD MILLION) 92
TABLE 58 MIDDLE EAST AND AFRICA: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE, BY DEPLOYMENT TYPE, 2015–2022 (USD MILLION) 92
TABLE 59 MIDDLE EAST AND AFRICA: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE, BY ORGANIZATION SIZE, 2015–2022 (USD MILLION) 93
TABLE 60 MIDDLE EAST AND AFRICA: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE, BY SERVICE, 2015–2022 (USD MILLION) 93
TABLE 61 MIDDLE EAST AND AFRICA: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE, BY INDUSTRY, 2015–2022 (USD MILLION) 94
TABLE 62 LATIN AMERICA: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE,
BY COMPONENT, 2015–2022 (USD MILLION) 95
TABLE 63 LATIN AMERICA: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE,
BY TECHNOLOGY, 2015–2022 (USD MILLION) 96
TABLE 64 LATIN AMERICA: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE,
BY APPLICATION AREA, 2015–2022 (USD MILLION) 96
TABLE 65 LATIN AMERICA: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE,
BY DEPLOYMENT TYPE, 2015–2022 (USD MILLION) 96
TABLE 66 LATIN AMERICA: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE,
BY ORGANIZATION SIZE, 2015–2022 (USD MILLION) 97
TABLE 67 LATIN AMERICA: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE,
BY SERVICE, 2015–2022 (USD MILLION) 97
TABLE 68 LATIN AMERICA: ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SIZE,
BY INDUSTRY, 2015–2022 (USD MILLION) 98
TABLE 69 NEW PRODUCT LAUNCHES, 2015–2017 100
TABLE 70 AGREEMENTS, PARTNERSHIPS, AND COLLABORATIONS, 2016–2017 102
TABLE 71 MERGERS AND ACQUISITIONS, 2016–2017 103

 

LIST OF FIGURES

FIGURE 1 GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET: MARKET SEGMENTATION 16
FIGURE 2 GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET: RESEARCH DESIGN 18
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 ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SHARE SNAPSHOT,
BY COMPONENT (2017) 25
FIGURE 7 ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SHARE SNAPSHOT,
BY TECHNOLOGY (2017) 26
FIGURE 8 ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SHARE SNAPSHOT,
BY SERVICE (2017) 26
FIGURE 9 ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SHARE SNAPSHOT,
BY APPLICATION AREA (2017) 26
FIGURE 10 ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SHARE SNAPSHOT,
BY DEPLOYMENT TYPE (2017) 27
FIGURE 11 ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SHARE SNAPSHOT,
BY ORGANIZATION SIZE (2017) 27
FIGURE 12 ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SNAPSHOT, BY INDUSTRY (2017) 28
FIGURE 13 ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET SNAPSHOT, BY REGION 28
FIGURE 14 PROLIFERATION OF DATA AND INCREASE IN AWARENESS HAVE PROPELLED
THE ADOPTION OF ENTERPRISE ARTIFICIAL INTELLIGENCE 29
FIGURE 15 ADVERTISING, MEDIA, AND ENTERTAINMENT INDUSTRY AND NORTH AMERICAN REGION ARE ESTIMATED TO HAVE THE LARGEST MARKET SHARES IN 2017 29
FIGURE 16 HEALTHCARE AND LIFE SCIENCES INDUSTRY IS EXPECTED TO CREATE MARKET OPPORTUNITIES DURING THE FORECAST PERIOD 30
FIGURE 17 ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES 31
FIGURE 18 SERVICES SEGMENT IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD 37
FIGURE 19 MANAGED SERVICES SEGMENT IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD 39
FIGURE 20 NATURAL LEARNING PROCESSING TECHNOLOGY IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD 43
FIGURE 21 ANALYTICS APPLICATION AREA IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 48
FIGURE 22 CLOUD DEPLOYMENT TYPE IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD 56
FIGURE 23 SMALL AND MEDIUM-SIZED BUSINESSES SEGMENT IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD 60
FIGURE 24 HEALTHCARE AND LIFE SCIENCES INDUSTRY IS EXPECTED TO HAVE THE HIGHEST GROWTH RATE DURING THE FORECAST PERIOD 64
FIGURE 25 ASIA PACIFIC IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 74
FIGURE 26 ASIA PACIFIC IS EXPECTED TO BE THE EMERGING REGION IN THE ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET 75
FIGURE 27 NORTH AMERICA: MARKET SNAPSHOT 77
FIGURE 28 NORTH AMERICA: ANALYTICS APPLICATION AREA IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 77
FIGURE 29 EUROPE: ANALYTICS APPLICATION AREA IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 81
FIGURE 30 ASIA PACIFIC: MARKET SNAPSHOT 86
FIGURE 31 ASIA PACIFIC: ANALYTICS APPLICATION AREA IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 87
FIGURE 32 MIDDLE EAST AND AFRICA: ANALYTICS APPLICATION AREA IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 91
FIGURE 33 LATIN AMERICA: ANALYTICS APPLICATION AREA IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 95
FIGURE 34 COMPANIES ADOPTED NEW PRODUCT LAUNCHES AS THE KEY GROWTH STRATEGY FROM 2015 TO 2017 99
FIGURE 35 IBM: COMPANY SNAPSHOT 105
FIGURE 36 IBM: SWOT ANALYSIS 107
FIGURE 37 MICROSOFT: COMPANY SNAPSHOT 108
FIGURE 38 MICROSOFT: SWOT ANALYSIS 109
FIGURE 39 AWS: COMPANY SNAPSHOT 111
FIGURE 40 AWS: SWOT ANALYSIS 112
FIGURE 41 INTEL: COMPANY SNAPSHOT 114
FIGURE 42 INTEL: SWOT ANALYSIS 116
FIGURE 43 GOOGLE: COMPANY SNAPSHOT 117
FIGURE 44 GOOGLE: SWOT ANALYSIS 119
FIGURE 45 SAP: COMPANY SNAPSHOT 120
FIGURE 46 ORACLE: COMPANY SNAPSHOT 124
FIGURE 47 HPE: COMPANY SNAPSHOT 126
FIGURE 48 WIPRO: COMPANY SNAPSHOT 128
 

 

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[プレスリリース原文]

Enterprise AI Market worth 6,141.5 Million USD by 2022


March 5, 2018

The report "Enterprise AI Market by Component (Solution & Services), Technology, Application Area (Security & Risk, Marketing, Customer Support & Experience, HR & Recruitment, Process Automation), Deployment, Organization Size, Industry, & Region - Forecast to 2022", the global enterprise Artificial Intelligence (AI) market to grow from USD 845.4 Million in 2017 to USD 6,141.5 Million by 2022, at a Compound Annual Growth Rate (CAGR) of 48.7% during the forecast period. The rising demand for AI-based solutions and platforms, and the need to analyze large and complex data sets are expected to drive the growth of the enterprise AI market.

The NLP technology is expected to grow at a higher CAGR during the forecast period

In the enterprise AI industry, the Natural Language Processing (NLP) technology is used to collect, analyze, and visualize customer-related data, such as responses to particular products and services. NLP is a human-to-computer interaction that analyzes and understands both the spoken and written forms of human languages. Therefore, it assists machines in understanding the languages in which humans communicate (both reading and writing), and formulating basic and advanced levels of interactions with humans. This form of communication enables computers to perform various other additional tasks, such as processing large volumes of data using NLP for information retrieval, information extraction, automatic summarization, and machine translation and dialogue systems. AI platform providers are concentrating on the development of strong cloud-based deployment type for their clients, as many businesses have migrated to either private or public cloud.

The cloud deployment type is expected to have the larger market size during the forecast period

On the basis of deployment type, the enterprise AI market is segmented into cloud and on-premises. Among these, the cloud deployment type is expected to have the larger market size during the forecast period. The adoption of the cloud deployment type is growing rapidly, as organizations are focusing on planning cost-effective services, such as training programs.

APAC is expected to grow at the highest CAGR during the forecast period

In the Asia Pacific (APAC) region, global as well as domestic enterprises are investing in the enterprise AI technology. The APAC region has great scope for growth in the enterprise AI market. Enterprises in the rapidly growing economies of the APAC region, such as China and Japan, are using AI tools via AI platforms in different industries to provide effective solutions. The growth in the APAC region is attributed to the higher technological advancements among developing countries.

The enterprise AI market report encompasses the competitive landscape and company profiles of the key vendors based on their product offerings and business strategies. The major enterprise AI vendors include IBM (US), Microsoft (US), AWS (US), Intel (US), Google (US), SAP (Germany), Sentient Technologies (US), Oracle (US), HPE (US), and Wipro (India).

 

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