自然言語生成(NLG)の世界市場予測(~2023年)

【英語タイトル】Natural Language Generation (NLG) Market by Application (CEM, Fraud Detection & Anti-money laundering), Component (Software & Services), Business Function, Deployment Model, Organization Size, Industry Vertical, and Region - Global Forecast to 2023

MarketsandMarketsが出版した調査資料(TC6272)・商品コード:TC6272
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・発行日:2018年5月14日
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・レポート言語:英語
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【レポートの概要】

Increasing need to understand customers’ behavior and the proliferation of big data are expected to boost the growth of the natural language generation marketThe global natural language generation market size is expected to grow from USD 322.1 million in 2018 to USD 825.3 million by 2023, at a Compound Annual Growth Rate (CAGR) of 20.8% during the forecast period. A strong necessity to understand customers’ behavior has led to a rise in delivering better customer experience across different industry verticals. This factor is driving organizations to build personalized relationships based on customers’ activities or interactions. Moreover, the proliferation of big data created an interest among organizations to derive insights from collected data for taking better, real-time, and fact-based decisions. Thus, NLG solutions have gained significance in extracting insights into human-like languages that are easy to understand. However, the lack of skilled workforce to deploy NLG solutions is a major factor restraining the growth of the market.
For gaining customer insights, the customer experience management segment is expected to grow at the highest CAGR during the forecast period.
The customer experience management segment is expected to grow at the highest CAGR during the forecast period. The adoption of NLG software and services is rapidly increasing in various applications, as these software and services automate processes, thereby facilitating organizations to focus more on their business strategies to gain competitive advantages. The proliferation of big data and related technologies assist in fact-based business decision-making at a faster rate.
Asia Pacific (APAC) is expected to grow at the highest CAGR during the forecast period.
The natural language generation market growth in the Asia Pacific (APAC) region is gaining momentum and is expected to grow at the highest CAGR in the coming years. The rising awareness can be attributed to an increase in companies’ focus on improving their customer service for driving competitive differentiation and revenue growth in this region. . In addition to this, major APAC economies, such as China, India, Japan, South Korea, and Australia, are adopting the cloud 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. The break-up of the profiles of the primary participants is given below:
• By Company: Tier 1: 15%, Tier 2: 32%, and Tier 3: 53%
• By Designation: C-level: 38%, Director level: 30%, and Others: 32%
• By Region: North America: 38%, Europe: 32%, APAC: 20%, and RoW: 10%

The following key vendors are profiled in the report:
1. Arria NLG (UK)
2. Yseop (France)
3. Narrative Science (US)
4. Automated Insights (US)
5. Retresco (Germany)
6. CoGenTex (US)
7. Phrasetech (Israel)
8. Veritone (US)
9. NewsRx (US)
10. Conversica (US)
11. Narrtiva (UAE)
12. 2txt – natural language generation GmbH (Germany)
13. AX Semantics (Germany)
14. AWS (US)
15. IBM (US)
16. Narrative Wave (US)
17. Artificial Solutions (Spain)
18. vPhrase (India)
19. Linguastat (US)
20. Textual Relations (Sweden)
21. Phrasee (UK)

Research Coverage
The report segments the natural language generation market based on components that are further segmented into software and services. In the services segment, the market is further segmented into managed and professional services. Professional services in the report are further segmented into training and support, and consulting services. Based on deployment models, the market is segmented into on-premises and cloud. Based on applications, the market is segmented into Customer Experience Management (CEM), fraud detection and anti-money laundering, risk and compliance management, predicative maintenance, performance management, and others (weather forecasting and forensics). Based on business functions, the market is segmented into finance, legal, operations, marketing and sales, and operations. Among organizations, it is segmented into Small and Medium-sized Enterprises (SMEs) and large enterprises. Further, under industry verticals, the report covers retail and eCommerce, government and defense, healthcare and life sciences, energy and utilities, telecom and IT, media and entertainment, and Banking, Financial Services, and Insurance (BFSI), manufacturing, and others (research, travel and hospitality, and real estate). The regions are segmented into North America, Europe, APAC, Middle East and Africa (MEA), and Latin America.
Reasons to buy the report
The report would help the leaders/new entrants in this market in the following ways:
1. This report segments the natural language generation market comprehensively and provides the closest approximations of the revenue numbers for the overall market and its subsegments across different industry verticals and regions.
2. The report helps stakeholders to understand the pulse of the market and provides them with information on the key market drivers, restraints, challenges, and opportunities.
3. This report would help stakeholders to better understand their competitors and gain more insights to enhance their positions in businesses. The competitive landscape section includes new product launches/developments; partnerships and collaborations; mergers and acquisitions; and expansions.

【レポートの目次】

TABLE OF CONTENTS

1 INTRODUCTION 18
1.1 OBJECTIVES OF THE STUDY 18
1.2 MARKET DEFINITION 18
1.3 MARKET SCOPE 19
1.3.1 REGIONAL SCOPE 19
1.4 YEARS CONSIDERED FOR THE STUDY 20
1.5 CURRENCY 20
1.6 STAKEHOLDERS 20
2 RESEARCH METHODOLOGY 21
2.1 RESEARCH DATA 21
2.1.1 SECONDARY DATA 22
2.1.2 PRIMARY DATA 22
2.1.2.1 Breakdown of primaries 23
2.1.2.2 Key industry insights 23
2.2 MARKET SIZE ESTIMATION 25
2.2.1 BOTTOM-UP APPROACH 25
2.2.2 TOP-DOWN APPROACH 26
2.3 RESEARCH ASSUMPTIONS 27
2.4 LIMITATIONS 27
3 EXECUTIVE SUMMARY 28
4 PREMIUM INSIGHTS 33
4.1 ATTRACTIVE MARKET OPPORTUNITIES IN THE NATURAL LANGUAGE GENERATION MARKET 33
4.2 NATURAL LANGUAGE GENERATION MARKET, BY INDUSTRY VERTICAL AND REGION 34
4.3 INVESTMENT OPPORTUNITIES IN THE NATURAL LANGUAGE GENERATION MARKET 35
5 MARKET OVERVIEW AND INDUSTRY TRENDS 36
5.1 INTRODUCTION 36
5.2 MARKET DYNAMICS 36
5.2.1 DRIVERS 37
5.2.1.1 Strong need to understand customers’ behavior 37
5.2.1.2 Proliferation of big data and the related technologies 37
5.2.2 RESTRAINTS 37
5.2.2.1 Lack of skilled consultants to deploy NLG solutions and services 37
5.2.3 OPPORTUNITIES 38
5.2.3.1 Emerging options in application areas 38
5.2.3.2 Increasing demand for intelligent business processes 38
5.2.4 CHALLENGES 38
5.2.4.1 Lack of awareness of NLG solutions 38
5.2.4.2 Data security and quality issues 38
5.3 INDUSTRY TRENDS 39
5.3.1 USE CASES 39
5.3.1.1 Introduction 39
5.3.1.2 Use case: NLG solutions increased the efficiency of creating and iterating detection models 39
5.3.1.3 Use case: Increase in efficiency of report generation with NLG solutions 39
5.3.1.4 Use case: Ease of business processes with NLG solutions 40
5.3.1.5 Use case: Development of a conversational tool with NLG platform 40
5.4 BEST PRACTICES TO BE FOLLOWED IN NATURAL LANGUAGE GENERATION 41
5.5 REGULATORY IMPLICATIONS 42
5.5.1 SARBANES-OXLEY ACT OF 2002 42
5.5.2 GENERAL DATA PROTECTION REGULATION 42
5.5.3 BASEL 42
6 NATURAL LANGUAGE GENERATION MARKET, BY COMPONENT 43
6.1 INTRODUCTION 44
6.2 SOFTWARE 45
6.3 SERVICES 46
6.3.1 MANAGED SERVICES 47
6.3.2 PROFESSIONAL SERVICES 48
6.3.2.1 Training and support 49
6.3.2.2 Consulting services 50
7 NATURAL LANGUAGE GENERATION MARKET, BY APPLICATION 51
7.1 INTRODUCTION 52
7.2 FRAUD DETECTION AND ANTI-MONEY LAUNDERING 53
7.3 PREDICTIVE MAINTENANCE 54
7.4 RISK AND COMPLIANCE MANAGEMENT 54
7.5 CUSTOMER EXPERIENCE MANAGEMENT 55
7.6 OTHERS 56
8 NATURAL LANGUAGE GENERATION MARKET, BY BUSINESS FUNCTION 57
8.1 INTRODUCTION 58
8.2 FINANCE 59
8.3 LEGAL 59
8.4 MARKETING AND SALES 60
8.5 OPERATIONS 61
8.6 HUMAN RESOURCES 62
9 NATURAL LANGUAGE GENERATION MARKET, BY DEPLOYMENT MODEL 63
9.1 INTRODUCTION 64
9.2 ON-PREMISES 65
9.3 CLOUD 66
10 NATURAL LANGUAGE GENERATION MARKET, BY ORGANIZATION SIZE 67
10.1 INTRODUCTION 68
10.2 SMALL AND MEDIUM-SIZED ENTERPRISES 69
10.3 LARGE ENTERPRISES 70
11 NATURAL LANGUAGE GENERATION MARKET, BY INDUSTRY VERTICAL 71
11.1 INTRODUCTION 72
11.2 BANKING, FINANCIAL SERVICES, AND INSURANCE 73
11.3 RETAIL AND ECOMMERCE 74
11.4 GOVERNMENT AND DEFENCE 74
11.5 HEALTHCARE AND LIFE SCIENCES 75
11.6 MANUFACTURING 76
11.7 TELECOM AND IT 77
11.8 MEDIA AND ENTERTAINMENT 77
11.9 ENERGY AND UTILITIES 78
11.10 OTHERS 79
12 NATURAL LANGUAGE GENERATION MARKET, BY REGION 80
12.1 INTRODUCTION 81
12.2 NORTH AMERICA 82
12.2.1 BY COUNTRY 83
12.2.1.1 United States 83
12.2.1.2 Canada 83
12.2.2 BY COMPONENT 83
12.2.3 BY APPLICATION 85
12.2.4 BY BUSINESS FUNCTION 85
12.2.5 BY DEPLOYMENT MODEL 86
12.2.6 BY ORGANIZATION SIZE 86
12.2.7 BY INDUSTRY VERTICAL 87
12.3 EUROPE 87
12.3.1 BY COUNTRY 88
12.3.1.1 Germany 88
12.3.1.2 France 88
12.3.1.3 United Kingdom 88
12.3.1.4 Rest of Europe 89
12.3.2 BY COMPONENT 89
12.3.3 BY APPLICATION 90
12.3.4 BY BUSINESS FUNCTION 91
12.3.5 BY DEPLOYMENT MODEL 91
12.3.6 BY ORGANIZATION SIZE 91
12.3.7 BY INDUSTRY VERTICAL 92
12.4 ASIA PACIFIC 92
12.4.1 BY COUNTRY 93
12.4.1.1 China 94
12.4.1.2 Japan 94
12.4.1.3 South Korea 94
12.4.1.4 India 95
12.4.1.5 Rest of APAC 95
12.4.2 BY COMPONENT 95
12.4.3 BY APPLICATION 96
12.4.4 BY BUSINESS FUNCTION 97
12.4.5 BY DEPLOYMENT MODEL 97
12.4.6 BY ORGANIZATION SIZE 97
12.4.7 BY INDUSTRY VERTICAL 98
12.5 LATIN AMERICA 98
12.5.1 BY COUNTRY 99
12.5.1.1 Brazil 99
12.5.1.2 Mexico 99
12.5.1.3 Rest of Latin America 99
12.5.2 BY COMPONENT 100
12.5.3 BY APPLICATION 101
12.5.4 BY BUSINESS FUNCTION 101
12.5.5 BY DEPLOYMENT MODEL 102
12.5.6 BY ORGANIZATION SIZE 102
12.5.7 BY INDUSTRY VERTICAL 102
12.6 MIDDLE EAST AND AFRICA 103
12.6.1 BY COUNTRY 103
12.6.1.1 Kingdom of Saudi Arabia 103
12.6.1.2 UAE 104
12.6.1.3 South Africa 104
12.6.1.4 Rest of MEA 104
12.6.2 BY COMPONENT 104
12.6.3 BY APPLICATION 105
12.6.4 BY BUSINESS FUNCTION 106
12.6.5 BY DEPLOYMENT MODEL 106
12.6.6 BY ORGANIZATION SIZE 106
12.6.7 BY INDUSTRY VERTICAL 107

13 COMPETITIVE LANDSCAPE 108
13.1 OVERVIEW 108
13.2 PROMINENT PLAYERS OPERATING IN THE NATURAL LANGUAGE GENERATION MARKET 109
13.3 COMPETITIVE SITUATIONS AND TRENDS 110
13.3.1 PARTNERSHIPS, AGREEMENTS, AND COLLABORATIONS 111
13.3.2 NEW PRODUCT LAUNCHES 111
13.3.3 ACQUISITIONS 112
14 COMPANY PROFILES 113
14.1 ARRIA NLG 113
(Business overview, Solutions offered, Recent developments, SWOT analysis, AND MNM view)*
14.2 AWS 116
14.3 IBM 119
14.4 NARRATIVE SCIENCE 121
14.5 AUTOMATED INSIGHTS 124
14.6 NARRATIVA 126
14.7 YSEOP 128
14.8 RETRESCO 130
14.9 ARTIFICIAL SOLUTIONS 132
14.10 PHRASEE 134
14.11 AX SEMANTICS 135
14.12 COGENTEX 136
14.13 PHRASETECH 137
14.14 NEWSRX 138
14.15 CONVERSICA 139
14.16 2TXT – NATURAL LANGUAGE GENERATION GMBH. 140
14.17 NARRATIVE WAVE 141
14.18 VPHRASE 142
14.19 LINGUASTAT 143
14.20 TEXTUAL RELATIONS 144
*Details on Business overview, Solutions offered, Recent developments, SWOT analysis, AND MNM view might not be captured in case of unlisted companies.
15 APPENDIX 145
15.1 INSIGHTS OF INDUSTRY EXPERTS 145
15.2 DISCUSSION GUIDE 146
15.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 150
15.4 INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE 152
15.5 AVAILABLE CUSTOMIZATION 153
15.6 RELATED REPORTS 153
15.7 AUTHOR DETAILS 154

LIST OF TABLES

TABLE 1 UNITED STATES DOLLAR EXCHANGE RATE, 2014–2017 20
TABLE 2 NATURAL LANGUAGE GENERATION MARKET SIZE, BY COMPONENT,
2016–2023 (USD MILLION) 44
TABLE 3 SOFTWARE: NATURAL LANGUAGE GENERATION MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 45
TABLE 4 SERVICES: NATURAL LANGUAGE GENERATION MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 46
TABLE 5 SERVICES: NATURAL LANGUAGE GENERATION MARKET SIZE, BY TYPE,
2016–2023 (USD MILLION) 47
TABLE 6 MANAGED SERVICES: NATURAL LANGUAGE GENERATION MARKET SIZE,
BY REGION, 2016–2023 (USD MILLION) 47
TABLE 7 PROFESSIONAL SERVICES: NATURAL LANGUAGE GENERATION MARKET SIZE,
BY REGION, 2016–2023 (USD MILLION) 48
TABLE 8 PROFESSIONAL SERVICES: NATURAL LANGUAGE GENERATION MARKET SIZE,
BY TYPE, 2016–2023 (USD MILLION) 49
TABLE 9 TRAINING AND SUPPORT MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 49
TABLE 10 CONSULTING SERVICES MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 50
TABLE 11 NATURAL LANGUAGE GENERATION MARKET SIZE, BY APPLICATION,
2016–2023 (USD MILLION) 52
TABLE 12 FRAUD DETECTION AND ANTI-MONEY LAUNDERING: NATURAL LANGUAGE GENERATION MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 53
TABLE 13 PREDICTIVE MAINTENANCE: NATURAL LANGUAGE GENERATION MARKET SIZE,
BY REGION, 2016–2023 (USD MILLION) 54
TABLE 14 RISK AND COMPLIANCE MANAGEMENT: NATURAL LANGUAGE GENERATION MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 54
TABLE 15 CUSTOMER EXPERIENCE MANAGEMENT: NATURAL LANGUAGE GENERATION MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 55
TABLE 16 OTHERS: NATURAL LANGUAGE GENERATION MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 56
TABLE 17 NATURAL LANGUAGE GENERATION MARKET SIZE, BY BUSINESS FUNCTION, 2016–2023 (USD MILLION) 58
TABLE 18 FINANCE: NATURAL LANGUAGE GENERATION MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 59
TABLE 19 LEGAL: NATURAL LANGUAGE GENERATION MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 60
TABLE 20 MARKETING AND SALES: NATURAL LANGUAGE GENERATION MARKET SIZE,
BY REGION, 2016–2023 (USD MILLION) 60
TABLE 21 OPERATIONS: NATURAL LANGUAGE GENERATION MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 61
TABLE 22 HUMAN RESOURCES: NATURAL LANGUAGE GENERATION MARKET SIZE,
BY REGION, 2016–2023 (USD MILLION) 62
TABLE 23 NATURAL LANGUAGE GENERATION MARKET SIZE, BY DEPLOYMENT MODEL, 2016–2023 (USD MILLION) 64
TABLE 24 ON-PREMISES: NATURAL LANGUAGE GENERATION MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 65
TABLE 25 CLOUD: NATURAL LANGUAGE GENERATION MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 66
TABLE 26 NATURAL LANGUAGE GENERATION MARKET SIZE, BY ORGANIZATION SIZE,
2016–2023 (USD MILLION) 68
TABLE 27 SMALL AND MEDIUM-SIZED ENTERPRISES: NATURAL LANGUAGE GENERATION MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 69
TABLE 28 LARGE ENTERPRISES: NATURAL LANGUAGE GENERATION MARKET SIZE,
BY REGION, 2016–2023 (USD MILLION) 70
TABLE 29 NATURAL LANGUAGE GENERATION MARKET SIZE, BY INDUSTRY VERTICAL,
2016–2023 (USD MILLION) 72
TABLE 30 BANKING, FINANCIAL SERVICES, AND INSURANCE: NATURAL LANGUAGE GENERATION MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 73
TABLE 31 RETAIL AND ECOMMERCE: NATURAL LANGUAGE GENERATION MARKET SIZE,
BY REGION, 2016–2023 (USD MILLION) 74
TABLE 32 GOVERNMENT AND DEFENSE: NATURAL LANGUAGE GENERATION MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 75
TABLE 33 HEALTHCARE AND LIFE SCIENCES: NATURAL LANGUAGE GENERATION MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 75
TABLE 34 MANUFACTURING: NATURAL LANGUAGE GENERATION MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 76
TABLE 35 TELECOM AND IT: NATURAL LANGUAGE GENERATION MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 77
TABLE 36 MEDIA AND ENTERTAINMENT: NATURAL LANGUAGE GENERATION MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 78
TABLE 37 ENERGY AND UTILITIES: NATURAL LANGUAGE GENERATION MARKET SIZE,
BY REGION, 2016–2023 (USD MILLION) 78
TABLE 38 OTHERS: NATURAL LANGUAGE GENERATION MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 79
TABLE 39 NATURAL LANGUAGE GENERATION MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 81
TABLE 40 NORTH AMERICA: NATURAL LANGUAGE GENERATION MARKET SIZE, BY COUNTRY, 2016–2023 (USD MILLION) 83
TABLE 41 NORTH AMERICA: NATURAL LANGUAGE GENERATION MARKET SIZE,
BY COMPONENT, 2016–2023 (USD MILLION) 83
TABLE 42 NORTH AMERICA: NATURAL LANGUAGE GENERATION MARKET SIZE, BY SERVICE, 2016–2023 (USD MILLION) 84
TABLE 43 NORTH AMERICA: NATURAL LANGUAGE GENERATION MARKET SIZE,
BY PROFESSIONAL SERVICE, 2016–2023 (USD MILLION) 84
TABLE 44 NORTH AMERICA: NATURAL LANGUAGE GENERATION MARKET SIZE,
BY APPLICATION, 2016–2023 (USD MILLION) 85
TABLE 45 NORTH AMERICA: NATURAL LANGUAGE GENERATION MARKET SIZE, BY BUSINESS FUNCTION, 2016–2023 (USD MILLION) 85
TABLE 46 NORTH AMERICA: NATURAL LANGUAGE GENERATION MARKET SIZE,
BY DEPLOYMENT MODEL, 2016–2023 (USD MILLION) 86
TABLE 47 NORTH AMERICA: NATURAL LANGUAGE GENERATION MARKET SIZE,
BY ORGANIZATION SIZE, 2016–2023 (USD MILLION) 86
TABLE 48 NORTH AMERICA: NATURAL LANGUAGE GENERATION MARKET SIZE, BY INDUSTRY VERTICAL, 2016–2023 (USD MILLION) 87
TABLE 49 EUROPE: NATURAL LANGUAGE GENERATION MARKET SIZE, BY COUNTRY,
2016–2023 (USD MILLION) 88
TABLE 50 EUROPE: NATURAL LANGUAGE GENERATION MARKET SIZE, BY COMPONENT, 2016–2023 (USD MILLION) 89
TABLE 51 EUROPE: NATURAL LANGUAGE GENERATION MARKET SIZE, BY SERVICE,
2016–2023 (USD MILLION) 89
TABLE 52 EUROPE: NATURAL LANGUAGE GENERATION MARKET SIZE, BY PROFESSIONAL SERVICE, 2016–2023 (USD MILLION) 90
TABLE 53 EUROPE: NATURAL LANGUAGE GENERATION MARKET SIZE, BY APPLICATION, 2016–2023 (USD MILLION) 90
TABLE 54 EUROPE: NATURAL LANGUAGE GENERATION MARKET SIZE, BY BUSINESS FUNCTION, 20162023 (USD MILLION) 91
TABLE 55 EUROPE: NATURAL LANGUAGE GENERATION MARKET SIZE, BY DEPLOYMENT MODEL, 2016–2023 (USD MILLION) 91
TABLE 56 EUROPE: NATURAL LANGUAGE GENERATION MARKET SIZE, BY ORGANIZATION SIZE, 2016–2023 (USD MILLION) 91
TABLE 57 EUROPE: NATURAL LANGUAGE GENERATION MARKET SIZE, BY INDUSTRY VERTICAL, 2015–2022 (USD MILLION) 92
TABLE 58 ASIA PACIFIC: NATURAL LANGUAGE GENERATION MARKET SIZE, BY COUNTRY, 2016–2023 (USD MILLION) 93
TABLE 59 ASIA PACIFIC: NATURAL LANGUAGE GENERATION MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION) 95
TABLE 60 ASIA PACIFIC: NATURAL LANGUAGE GENERATION MARKET SIZE, BY SERVICE, 2016–2023 (USD MILLION) 95
TABLE 61 ASIA PACIFIC: NATURAL LANGUAGE GENERATION MARKET SIZE, BY PROFESSIONAL SERVICE, 2016–2023 (USD MILLION) 96
TABLE 62 ASIA PACIFIC: NATURAL LANGUAGE GENERATION MARKET SIZE, BY APPLICATION, 2016–2023 (USD MILLION) 96
TABLE 63 ASIA PACIFIC: NATURAL LANGUAGE GENERATION MARKET SIZE, BY BUSINESS FUNCTION, 2016–2023 (USD MILLION) 97
TABLE 64 ASIA PACIFIC: NATURAL LANGUAGE GENERATION MARKET SIZE, BY DEPLOYMENT MODEL, 2016–2023 (USD MILLION) 97
TABLE 65 ASIA PACIFIC: NATURAL LANGUAGE GENERATION MARKET SIZE, BY ORGANIZATION SIZE, 2016–2023 (USD MILLION) 97
TABLE 66 ASIA PACIFIC: NATURAL LANGUAGE GENERATION MARKET SIZE, BY INDUSTRY VERTICAL, 2016–2023 (USD MILLION) 98
TABLE 67 LATIN AMERICA: NATURAL LANGUAGE GENERATION MARKET SIZE, BY COUNTRY, 2016–2023 (USD MILLION) 99
TABLE 68 LATIN AMERICA: NATURAL LANGUAGE GENERATION MARKET SIZE,
BY COMPONENT, 2016–2023 (USD MILLION) 100
TABLE 69 LATIN AMERICA: NATURAL LANGUAGE GENERATION MARKET SIZE, BY SERVICE, 2016–2023 (USD MILLION) 100
TABLE 70 LATIN AMERICA: NATURAL LANGUAGE GENERATION MARKET SIZE,
BY PROFESSIONAL SERVICE, 2016–2023 (USD MILLION) 100
TABLE 71 LATIN AMERICA: NATURAL LANGUAGE GENERATION MARKET SIZE,
BY APPLICATION, 2016–2023 (USD MILLION) 101
TABLE 72 LATIN AMERICA: NATURAL LANGUAGE GENERATION MARKET SIZE, BY BUSINESS FUNCTION, 2016–2023 (USD MILLION) 101
TABLE 73 LATIN AMERICA: NATURAL LANGUAGE GENERATION MARKET SIZE,
BY DEPLOYMENT MODEL, 2016–2023 (USD MILLION) 102
TABLE 74 LATIN AMERICA: NATURAL LANGUAGE GENERATION MARKET SIZE,
BY ORGANIZATION SIZE, 2016–2023 (USD MILLION) 102
TABLE 75 LATIN AMERICA: NATURAL LANGUAGE GENERATION MARKET SIZE, BY INDUSTRY VERTICAL, 2016–2023 (USD MILLION) 102
TABLE 76 MIDDLE EAST AND AFRICA: NATURAL LANGUAGE GENERATION MARKET SIZE,
BY COUNTRY, 2016–2023 (USD MILLION) 103
TABLE 77 MIDDLE EAST AND AFRICA: NATURAL LANGUAGE GENERATION MARKET SIZE,
BY COMPONENT, 2016–2023 (USD MILLION) 104
TABLE 78 MIDDLE EAST AND AFRICA: NATURAL LANGUAGE GENERATION MARKET SIZE,
BY SERVICE, 2016–2023 (USD MILLION) 104
TABLE 79 MIDDLE EAST AND AFRICA: NATURAL LANGUAGE GENERATION MARKET SIZE,
BY PROFESSIONAL SERVICE, 2016–2023 (USD MILLION) 105
TABLE 80 MIDDLE EAST AND AFRICA: NATURAL LANGUAGE GENERATION MARKET SIZE,
BY APPLICATION, 2016–2023 (USD MILLION) 105
TABLE 81 MIDDLE EAST AND AFRICA: NATURAL LANGUAGE GENERATION MARKET SIZE,
BY BUSINESS FUNCTION, 2016–2023 (USD MILLION) 106
TABLE 82 MIDDLE EAST AND AFRICA: NATURAL LANGUAGE GENERATION MARKET SIZE,
BY DEPLOYMENT MODEL, 2016–2023 (USD MILLION) 106
TABLE 83 MIDDLE EAST AND AFRICA: NATURAL LANGUAGE GENERATION MARKET SIZE,
BY ORGANIZATION SIZE, 2016–2023 (USD MILLION) 106
TABLE 84 MIDDLE EAST AND AFRICA: NATURAL LANGUAGE GENERATION MARKET SIZE,
BY INDUSTRY VERTICAL, 2016–2023 (USD MILLION) 107
TABLE 85 PARTNERSHIPS, AGREEMENTS, AND COLLABORATIONS, 2016–2018 111
TABLE 86 NEW PRODUCT LAUNCHES, 2015–2017 111
TABLE 87 ACQUISITIONS, 2016–2018 112


LIST OF FIGURES

FIGURE 1 NATURAL LANGUAGE GENERATION MARKET: MARKET SEGMENTATION 19
FIGURE 2 NATURAL LANGUAGE GENERATION MARKET: RESEARCH DESIGN 21
FIGURE 3 BREAKDOWN OF PRIMARY INTERVIEWS: BY COMPANY, DESIGNATION,
AND REGION 23
FIGURE 4 DATA TRIANGULATION 24
FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH 25
FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH 26
FIGURE 7 NATURAL LANGUAGE GENERATION MARKET: ASSUMPTIONS 27
FIGURE 8 NATURAL LANGUAGE GENERATION MARKET IS EXPECTED TO WITNESS A HIGH GROWTH DURING THE FORECAST PERIOD 29
FIGURE 9 NATURAL LANGUAGE GENERATION MARKET, BY COMPONENT (2018 VS. 2023) 29
FIGURE 10 NATURAL LANGUAGE GENERATION MARKET, BY BUSINESS FUNCTION
(2018–2023) 30
FIGURE 11 NATURAL LANGUAGE GENERATION MARKET, BY DEPLOYMENT MODEL
(2018–2023) 30
FIGURE 12 NATURAL LANGUAGE GENERATION MARKET, BY ORGANIZATION SIZE
(2018–2023) 31
FIGURE 13 NATURAL LANGUAGE GENERATION MARKET, BY APPLICATION (2018–2023) 31
FIGURE 14 NATURAL LANGUAGE GENERATION MARKET, BY INDUSTRY VERTICAL
(2018 VS. 2023) 32
FIGURE 15 ORGANIZATIONS’ INCREASING NEED TO UNDERSTAND CUSTOMERS’ BEHAVIOR IS EXPECTED TO BE THE MAJOR FACTOR CONTRIBUTING TO THE GROWTH OF THE NLG MARKET 33
FIGURE 16 NORTH AMERICA IS ESTIMATED TO HAVE THE LARGEST MARKET SHARE IN 2018 34
FIGURE 17 RETAIL AND ECOMMERCE INDUSTRY VERTICAL AND NORTH AMERICAN REGION ARE ESTIMATED TO HAVE THE LARGEST MARKET SHARES IN 2018 34
FIGURE 18 ASIA PACIFIC IS EXPECTED TO POSE THE BEST INVESTMENT OPPORTUNITY DURING THE FORECAST PERIOD 35
FIGURE 19 NATURAL LANGUAGE GENERATION MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES 36
FIGURE 20 SERVICES SEGMENT IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD 44
FIGURE 21 MANAGED SERVICES SEGMENT IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD 46
FIGURE 22 TRAINING AND SUPPORT SEGMENT IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD 48
FIGURE 23 CUSTOMER EXPERIENCE MANAGEMENT APPLICATION IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 52
FIGURE 24 OPERATIONS SEGMENT IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 58
FIGURE 25 CLOUD DEPLOYMENT MODEL IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD 64
FIGURE 26 SMALL AND MEDIUM-SIZED ENTERPRISES SEGMENT IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD 68
FIGURE 27 MANUFACTURING INDUSTRY VERTICAL IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 72
FIGURE 28 ASIA PACIFIC IS EXPECTED TO GROW AT THE HIGHEST CAGR IN THE NATURAL LANGUAGE GENERATION MARKET DURING THE FORECAST PERIOD 81
FIGURE 29 NORTH AMERICA: MARKET SNAPSHOT 82
FIGURE 30 ASIA PACIFIC: MARKET SNAPSHOT 93
FIGURE 31 KEY DEVELOPMENTS BY THE LEADING PLAYERS IN THE NATURAL LANGUAGE GENRATION MARKET DURING 2014–2018 108
FIGURE 32 MARKET EVALUATION FRAMEWORK 110
FIGURE 33 ARRIA NLG: COMPANY SNAPSHOT 113
FIGURE 34 AWS: COMPANY SNAPSHOT 116
FIGURE 35 IBM CORPORATION: COMPANY SNAPSHOT 119


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自然言語生成(NLG)

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