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フィンテック市場の人工知能(AI):ソリューション・サービス毎、用途分野毎(仮想アシスタント、ビジネス解析・報告、顧客行動解析)、クラウド・オンプレミス毎、地域毎 - 2022年までの世界市場予測

AI in Fintech Market by Component (Solution, Service), Application Area (Virtual Assistant, Business Analytics & Reporting, Customer Behavioral Analytics), Deployment Mode (Cloud, On-Premises), and Region - Global forecast to 2022

 

出版社 出版年月電子媒体価格ページ数図表数
MarketsandMarkets
マーケッツアンドマーケッツ
2017年9月US$5,650
シングルユーザライセンス
124 99

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)のフィンテック市場の人工知能(AI)市場に関する調査レポートです。

“The AI in Fintech is projected to grow at a CAGR of 40.4% during the forecast period”

The market for AI in Fintech is expected to grow from USD 1,337.7 million in 2017 to USD 7,305.6 million by 2022, at a Compound Annual Growth Rate (CAGR) of 40.4%. The availability of spatial data is a major factor driving the growth of the AI in Fintech market. Sustaining in a competitive market has become crucial for the financial sector due to technological advancements. 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 practices into its operations.

The lack of skilled consultants to deploy AI in Fintech expected to be a major restraint for the AI in Fintech market.  AI technology can be integrated in financial sector through solution and services based on level of integration. Since, AI is in the developing stage and deployment of AI needs availability of skilled expertise which can act as a restraint for the AI in Fintech market.

 “Business Analytics and Reporting is expected to have the largest market size during the forecast period”

The application areas in the AI in Fintech market include virtual assistants (Chatbots), business analytics and reporting, customer behavioral analytics, and others (includes market research, advertising and marketing campaign). Business analytics and reporting application area helps the finance companies to meet regulatory and compliance requirements as well as manage compliance records. Moreover, it also enables financial institutions to analyze customer behavior. To meet these requirements, the financial companies are deploying AI enabled 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 expected to grow at the highest CAGR during the forecast period. Factors such as higher technological advancement in the region, rapid expansion of domestic enterprises, and higher development of infrastructure are driving the AI in Fintech market in the APAC region. The North American region is expected to have the largest market share during the forecast period. The main driving factors for the market are rapid development of AI in the finance sector, increase in the usage of data, and adoption of predictive analytics tools.

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 the 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%

The major AI in Fintech vendors are Microsoft (Washington, US), Google (California, US), Salesforce.com (California, US), IBM (New York, US), Intel (California, US), Amazon Web Services (Washington, US), Inbenta Technologies (California, US), IPsoft (New York, US), Nuance Communications (Massachusetts, US), and ComplyAdvantage.com (New York, US).

Research Coverage

The AI in Fintech market has been segmented on the basis of components (solution and services), deployment modes, application areas, and region. The AI in Fintech solutions help AI in Fintech software, platform, and service providers, IPO/VC/Angel investors, BFSI organizations, and government organizations to improve financial operations and reduce costs. The AI in Fintech market segmented on the basis of the components include solution and services. The solution segment is further segmented into software tools and platforms. The services offered in the AI in Fintech market include managed and professional services. The deployment modes in AI in Fintech market include the cloud and on-premises. The application areas are segmented into virtual assistants (chatbots), business analytics and reporting, customer behavioral analytics, and others (includes market research, advertising and marketing campaign). Finally, on the basis of regions, the AI in Fintech market is segmented into North America, Europe, APAC, Middle East and Africa (MEA), and Latin America.

The report will help the market leaders and new entrants in the AI in Fintech 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 in the market based on their product offerings and business strategies.



目次

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 14
1.5 CURRENCY 15
1.6 STAKEHOLDERS 15

2 RESEARCH METHODOLOGY 16
2.1 RESEARCH DATA 16
2.1.1 SECONDARY DATA 17
2.1.2 PRIMARY DATA 17
2.1.3 BREAKDOWN OF PRIMARIES 17
2.1.4 KEY INDUSTRY INSIGHTS 18
2.2 MARKET SIZE ESTIMATION 19
2.3 BOTTOM-UP APPROACH 19
2.4 TOP-DOWN APPROACH 20
2.5 MICROQUADRANT RESEARCH METHODOLOGY 20
2.5.1 VENDOR INCLUSION CRITERIA 20
2.6 RESEARCH ASSUMPTIONS AND LIMITATION 21
2.6.1 RESEARCH ASSUMPTIONS 21
2.6.2 LIMITATIONS 21

3 EXECUTIVE SUMMARY 22

4 PREMIUM INSIGHTS 26
4.1 ATTRACTIVE MARKET OPPORTUNITIES IN THE AI IN FINTECH MARKET 26
4.2 LIFECYCLE ANALYSIS, BY REGION, 2017-2022 26

5 MARKET OVERVIEW AND INDUSTRY TRENDS 28
5.1 INTRODUCTION 28
5.2 MARKET DYNAMICS 28
5.2.1 DRIVERS 29
5.2.1.1 Availability of spatial data 29
5.2.1.2 Growing internet penetration 29
5.2.2 RESTRAINTS 29
5.2.2.1 Lack of skilled consultants to deploy AI in Fintech 29
5.2.3 OPPORTUNITIES 29
5.2.3.1 Increasing mobile workforce will surge further innovation in the Fintech market 29
5.2.3.2 Increasing use of AI-enabled technological solution in the capital market 30
5.2.4 CHALLENGES 30
5.2.4.1 Difficulty to cope with the rapidly expanding scope of AI in Fintech solution 30
5.2.4.2 Development of smart human-aware Fintech solution 30
5.3 USE CASES 30
5.3.1 RETAIL BANKS 30
5.3.2 INSURANCE 31
5.3.3 COMMERCIAL BANKS 31
5.3.4 STOCK MARKET/CAPITAL MARKET - 32
5.4 KEY INDUSTRY DEVELOPMENTS 32

6 AI IN FINTECH MARKET ANALYSIS, BY COMPONENT 34
6.1 INTRODUCTION 35
6.2 SOLUTIONS 36
6.2.1 SOFTWARE TOOLS 37
6.2.1.1 Data discovery 37
6.2.1.2 Data quality and data governance 38
6.2.1.3 Data visualization 39
6.2.2 PLATFORMS 39
6.3 SERVICES 40
6.3.1 MANAGED SERVICES 40
6.3.2 PROFESSIONAL SERVICES 41

7 AI IN FINTECH MARKET ANALYSIS, BY APPLICATION AREA 42
7.1 INTRODUCTION 43
7.2 VIRTUAL ASSISTANTS (CHATBOTS) 44
7.3 BUSINESS ANALYTICS AND REPORTING 45
7.3.1 REGULATORY AND COMPLIANCE MANAGEMENT 45
7.3.2 PREDICTIVE ANALYTICS 46
7.4 CUSTOMER BEHAVIORAL ANALYTICS 47
7.4.1 CREDIT SCORING 47
7.4.2 ASSET AND PORTFOLIO MANAGEMENT 47
7.4.3 DEBT COLLECTION 48
7.4.4 INSURANCE PREMIUM 48
7.5 OTHERS 50

8 AI IN FINTECH MARKET ANALYSIS, BY DEPLOYMENT MODE 51
8.1 INTRODUCTION 52
8.2 CLOUD 53
8.3 ON-PREMISES 53

9 GEOGRAPHIC ANALYSIS 54
9.1 INTRODUCTION 55
9.2 NORTH AMERICA 56
9.3 EUROPE 61
9.4 ASIA PACIFIC 64
9.5 MIDDLE EAST AND AFRICA 68
9.6 LATIN AMERICA 71

10 COMPETITIVE LANDSCAPE 75
10.1 MICROQUADRANT OVERVIEW 75
10.1.1 VISIONARY LEADERS 75
10.1.2 INNOVATORS 75
10.1.3 DYNAMIC DIFFERENTIATORS 75
10.1.4 EMERGING COMPANIES 75
10.2 COMPETITIVE BENCHMARKING 77

11 COMPANY PROFILES 79
11.1 MICROSOFT 79
(Overview, Strength of Product Portfolio, Business Strategy Excellence, and Recent Developments)*
11.2 GOOGLE 83
11.3 IBM 86
11.4 INTEL 89
11.5 INBENTA TECHNOLOGIES 92
11.6 NUANCE COMMUNICATIONS 95
11.7 COMPLYADVANTAGE.COM 98
11.8 SALESFORCE.COM 101
11.9 AMAZON WEB SERVICES 104
11.10 SAMSUNG 107
11.11 IPSOFT 110
11.12 NEXT IT CORP. 112
*Details on Overview, Strength of Product Portfolio, Business Strategy Excellence, and Recent Developments might not be captured in case of unlisted companies.

12 APPENDIX 114
12.1 DISCUSSION GUIDE 114
12.2 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 118
12.3 INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE 120
12.4 AVAILABLE CUSTOMIZATIONS 121
12.5 RELATED REPORTS 121
12.6 AUTHOR DETAILS 122

 

LIST OF TABLES

TABLE 1 UNITED STATES DOLLAR EXCHANGE RATE, 2014-2016 15
TABLE 2 EVALUATION CRITERIA 20
TABLE 3 AI IN FINTECH MARKET SIZE, BY COMPONENT, 2015-2022 (USD MILLION) 35
TABLE 4 COMPONENT: AI IN FINTECH MARKET SIZE, BY SOLUTION,
2015-2022 (USD MILLION) 36
TABLE 5 SOFTWARE TOOLS MARKET SIZE, BY TYPE, 2015-2022 (USD MILLION) 37
TABLE 6 DATA DISCOVERY MARKET SIZE, BY APPLICATION AREA,
2015-2022 (USD MILLION) 38
TABLE 7 DATA QUALITY AND DATA GOVERNANCE MARKET SIZE, BY APPLICATION AREA,  2015-2022 (USD MILLION) 38
TABLE 8 DATA VISUALIZATION MARKET SIZE, BY APPLICATION AREA,
2015-2022 (USD MILLION) 39
TABLE 9 COMPONENT: AI IN FINTECH MARKET SIZE, BY SERVICE,
2015-2022 (USD MILLION) 40
TABLE 10 AI IN FINTECH MARKET SIZE, BY APPLICATION AREA, 2015-2022 (USD MILLION) 44
TABLE 11 VIRTUAL ASSISTANTS (CHATBOTS): AI IN FINTECH MARKET SIZE, BY REGION,  2015-2022 (USD MILLION) 44
TABLE 12 VIRTUAL ASSISTANTS (CHATBOTS): AI IN FINTECH MARKET SIZE, BY COMPONENT,  2015-2022 (USD MILLION) 45
TABLE 13 BUSINESS ANALYTICS AND REPORTING: AI IN FINTECH MARKET SIZE, BY TYPE,  2015-2022 (USD MILLION) 46
TABLE 14 BUSINESS ANALYTICS AND REPORTING: AI IN FINTECH MARKET SIZE, BY REGION,  2015-2022 (USD MILLION) 46
TABLE 15 BUSINESS ANALYTICS AND REPORTING: AI IN FINTECH MARKET SIZE,
BY COMPONENT, 2015-2022 (USD MILLION) 47
TABLE 16 CUSTOMER BEHAVIORAL ANALYTICS: AI IN FINTECH MARKET SIZE, BY TYPE,  2015-2022 (USD MILLION) 48
TABLE 17 CUSTOMER BEHAVIORAL ANALYTICS: AI IN FINTECH MARKET SIZE, BY REGION,  2015-2022 (USD MILLION) 49
TABLE 18 CUSTOMER BEHAVIORAL ANALYTICS: AI IN FINTECH MARKET SIZE,
BY COMPONENT, 2015-2022 (USD MILLION) 49
TABLE 19 OTHERS: AI IN FINTECH MARKET SIZE, BY REGION, 2015-2022 (USD MILLION) 50
TABLE 20 AI IN FINTECH MARKET SIZE, BY DEPLOYMENT MODE, 2015-2022 (USD MILLION) 52
TABLE 21 AI IN FINTECH MARKET SIZE, BY REGION, 2015-2022 (USD MILLION) 55
TABLE 22 NORTH AMERICA: AI IN FINTECH MARKET SIZE, BY COMPONENT,  
2015-2022 (USD MILLION) 57
TABLE 23 NORTH AMERICA: AI IN FINTECH MARKET SIZE, BY SOLUTION,
2015-2022 (USD MILLION) 58
TABLE 24 NORTH AMERICA: AI IN FINTECH MARKET SIZE, BY SOFTWARE TOOL,  
2015-2022 (USD MILLION) 58
TABLE 25 NORTH AMERICA: AI IN FINTECH MARKET SIZE, BY SERVICE,
2015-2022 (USD MILLION) 58
TABLE 26 NORTH AMERICA: AI IN FINTECH MARKET SIZE, BY DEPLOYMENT MODE,  
2015-2022 (USD MILLION) 59
TABLE 27 NORTH AMERICA: AI IN FINTECH MARKET SIZE, BY APPLICATION AREA,  
2015-2022 (USD MILLION) 59
TABLE 28 NORTH AMERICA: AI IN FINTECH MARKET SIZE, BY BUSINESS ANALYTICS AND REPORTING, 2015-2022 (USD MILLION) 60
TABLE 29 NORTH AMERICA: AI IN FINTECH MARKET SIZE, BY CUSTOMER BEHAVIORAL ANALYTICS, 2015-2022 (USD MILLION) 60
TABLE 30 NORTH AMERICA: AI IN FINTECH MARKET SIZE, BY COUNTRY,
2015-2022 (USD MILLION) 60
TABLE 31 EUROPE: AI IN FINTECH MARKET SIZE, BY COMPONENT,
2015-2022 (USD MILLION) 61
TABLE 32 EUROPE: AI IN FINTECH MARKET SIZE, BY SOLUTION , 2015-2022 (USD MILLION) 61
TABLE 33 EUROPE: AI IN FINTECH MARKET SIZE, BY SOFTWARE TOOL,
2015-2022 (USD MILLION) 62
TABLE 34 EUROPE: AI IN FINTECH MARKET SIZE, BY SERVICE, 2015-2022 (USD MILLION) 62
TABLE 35 EUROPE: AI IN FINTECH MARKET SIZE, BY DEPLOYMENT MODE,  
2015-2022 (USD MILLION) 62
TABLE 36 EUROPE: AI IN FINTECH MARKET SIZE, BY APPLICATION AREA,  
2015-2022 (USD MILLION) 63
TABLE 37 EUROPE: AI IN FINTECH MARKET SIZE, BY BUSINESS ANALYTICS AND REPORTING,  2015-2022 (USD MILLION) 63
TABLE 38 EUROPE: AI IN FINTECH MARKET SIZE, BY CUSTOMER BEHAVIORAL ANALYTICS,  2015-2022 (USD MILLION) 64
TABLE 39 ASIA PACIFIC: AI IN FINTECH MARKET SIZE, BY COMPONENT,
2015-2022 (USD MILLION) 65
TABLE 40 ASIA PACIFIC: AI IN FINTECH MARKET SIZE, BY SOLUTION,
2015-2022 (USD MILLION) 66
TABLE 41 ASIA PACIFIC: AI IN FINTECH MARKET SIZE, BY SOFTWARE TOOL,  
2015-2022 (USD MILLION) 66
TABLE 42 ASIA PACIFIC: AI IN FINTECH MARKET SIZE, BY SERVICE,
2015-2022 (USD MILLION) 66
TABLE 43 ASIA PACIFIC: AI IN FINTECH MARKET SIZE, BY DEPLOYMENT MODE,  
2015-2022 (USD MILLION) 67
TABLE 44 ASIA PACIFIC: AI IN FINTECH MARKET SIZE, BY APPLICATION AREA,  
2015-2022 (USD MILLION) 67
TABLE 45 ASIA PACIFIC: AI IN FINTECH MARKET SIZE, BY BUSINESS ANALYTICS AND REPORTING, 2015-2022 (USD MILLION) 68
TABLE 46 ASIA PACIFIC: AI IN FINTECH MARKET SIZE, BY CUSTOMER BEHAVIORAL ANALYTICS, 2015-2022 (USD MILLION) 68
TABLE 47 MIDDLE EAST AND AFRICA: AI IN FINTECH MARKET SIZE, BY COMPONENT,  
2015-2022 (USD MILLION) 69
TABLE 48 MIDDLE EAST AND AFRICA: AI IN FINTECH MARKET SIZE, BY SOLUTION,  
2015-2022 (USD MILLION) 69
TABLE 49 MIDDLE EAST AND AFRICA: AI IN FINTECH MARKET SIZE, BY SOFTWARE TOOL,  2015-2022 (USD MILLION) 69
TABLE 50 MIDDLE EAST AND AFRICA: AI IN FINTECH MARKET SIZE, BY SERVICE,  
2015-2022 (USD MILLION) 70
TABLE 51 MIDDLE EAST AND AFRICA: AI IN FINTECH MARKET SIZE, BY DEPLOYMENT MODE,  2015-2022 (USD MILLION) 70
TABLE 52 MIDDLE EAST AND AFRICA: AI IN FINTECH MARKET SIZE, BY APPLICATION AREA,  2015-2022 (USD MILLION) 70
TABLE 53 MIDDLE EAST AND AFRICA: AI IN FINTECH MARKET SIZE, BY BUSINESS ANALYTICS AND REPORTING, 2015-2022 (USD MILLION) 71
TABLE 54 MIDDLE EAST AND AFRICA: AI IN FINTECH MARKET SIZE, BY CUSTOMER BEHAVIORAL ANALYTICS, 2015-2022 (USD MILLION) 71
TABLE 55 LATIN AMERICA: AI IN FINTECH MARKET SIZE, BY COMPONENT,  
2015-2022 (USD MILLION) 72
TABLE 56 LATIN AMERICA: AI IN FINTECH MARKET SIZE, BY SOLUTION,
2015-2022 (USD MILLION) 72
TABLE 57 LATIN AMERICA: AI IN FINTECH MARKET SIZE, BY SOFTWARE TOOL,  
2015-2022 (USD MILLION) 72
TABLE 58 LATIN AMERICA: AI IN FINTECH MARKET SIZE, BY SERVICE,
2015-2022 (USD MILLION) 73
TABLE 59 LATIN AMERICA: AI IN FINTECH MARKET SIZE, BY DEPLOYMENT MODE,  
2015-2022 (USD MILLION) 73
TABLE 60 LATIN AMERICA: AI IN FINTECH MARKET SIZE, BY APPLICATION AREA,  
2015-2022 (USD MILLION) 73
TABLE 61 LATIN AMERICA: AI IN FINTECH MARKET SIZE, BY BUSINESS ANALYTICS
AND REPORTING, 2015-2022 (USD MILLION) 74
TABLE 62 LATIN AMERICA: AI IN FINTECH MARKET SIZE, BY CUSTOMER BEHAVIORAL ANALYTICS, 2015-2022 (USD MILLION) 74
TABLE 63 MARKET RANKING FOR THE AI IN FINTECH MARKET, 2017 78

 

LIST OF FIGURES

FIGURE 1 GLOBAL AI IN FINTECH MARKET: MARKET SEGMENTATION 14
FIGURE 2 GLOBAL AI IN FINTECH MARKET: RESEARCH DESIGN 16
FIGURE 3 DATA TRIANGULATION 18
FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH 19
FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH 20
FIGURE 6 AI IN FINTECH MARKET SNAPSHOT, BY COMPONENT (2017 VS. 2022) 23
FIGURE 7 AI IN FINTECH MARKET SNAPSHOT, BY SOLUTION 23
FIGURE 8 AI IN FINTECH MARKET SNAPSHOT, BY SOFTWARE TOOL 24
FIGURE 9 AI IN FINTECH MARKET SNAPSHOT, BY SERVICE 24
FIGURE 10 AI IN FINTECH MARKET SNAPSHOT, BY DEPLOYMENT MODE 24
FIGURE 11 AI IN FINTECH MARKET SNAPSHOT, BY APPLICATION AREA 25
FIGURE 12 AI IN FINTECH MARKET SNAPSHOT, BY REGION 25
FIGURE 13 AVAILABILITY OF SPATIAL DATA AND GROWING INTERNET PENETRATION ARE DRIVING THE AI IN FINTECH MARKET DURING THE FORECAST PERIOD 26
FIGURE 14 ASIA PACIFIC IS EXPECTED TO EXHIBIT THE HIGHEST GROWTH POTENTIAL DURING THE FORECAST PERIOD 26
FIGURE 15 MARKET INVESTMENT SCENARIO: ASIA PACIFIC IS EXPECTED TO BE THE BEST OPPORTUNITY MARKET FOR INVESTMENT IN THE NEXT 5 YEARS 27
FIGURE 16 AI IN FINTECH MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES,  AND CHALLENGES 28
FIGURE 17 SOLUTIONS COMPONENT IS EXPECTED TO EXHIBIT A HIGHER CAGR DURING THE FORECAST PERIOD 35
FIGURE 18 PLATFORMS SEGMENT IS EXPECTED TO EXHIBIT A HIGHER CAGR DURING THE FORECAST PERIOD 36
FIGURE 19 MANAGED SERVICES SEGMENT IS EXPECTED TO EXHIBIT A HIGHER CAGR DURING THE FORECAST PERIOD 40
FIGURE 20 VIRTUAL ASSISTANTS (CHATBOTS), AND CUSTOMER BEHAVIORAL ANALYTICS APPLICATION AREAS ARE EXPECTED TO EXHIBIT THE HIGHEST GROWTH RATES DURING THE FORECAST PERIOD 43
FIGURE 21 CLOUD DEPLOYMENT MODE IS EXPECTED TO EXHIBIT A HIGHER CAGR DURING THE FORECAST PERIOD 52
FIGURE 22 ASIA PACIFIC IS EXPECTED TO HAVE THE HIGHEST CAGR DURING THE FORECAST PERIOD 55
FIGURE 23 ASIA PACIFIC IS EXPECTED TO HAVE THE HIGHEST GROWTH RATE DURING THE FORECAST PERIOD 56
FIGURE 24 NORTH AMERICA: MARKET SNAPSHOT 57
FIGURE 25 ASIA PACIFIC: MARKET SNAPSHOT 65
FIGURE 26 AI IN FINTECH MARKET (GLOBAL) COMPETITIVE LEADERSHIP MAPPING, 2017 76
FIGURE 27 BUSINESS STRATEGY EXCELLENCE ADOPTED IN THE AI IN FINTECH MARKET 77
FIGURE 28 STRENGTH OF PRODUCT PORTFOLIO IN THE AI IN FINTECH MARKET 78
FIGURE 29 MICROSOFT: COMPANY SNAPSHOT 79
FIGURE 30 GOOGLE: COMPANY SNAPSHOT 83
FIGURE 31 IBM: COMPANY SNAPSHOT 86
FIGURE 32 INTEL: COMPANY SNAPSHOT 89
FIGURE 33 NUANCE COMMUNICATIONS: COMPANY SNAPSHOT 95
FIGURE 34 SALESFORCE.COM: COMPANY SNAPSHOT 101
FIGURE 35 AMAZON WEB SERVICES: COMPANY SNAPSHOT 104
FIGURE 36 SAMSUNG: COMPANY SNAPSHOT 107

 

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プレスリリース

[プレスリリース原文]

AI in Fintech Market worth 7,305.6 Million USD by 2022


September 15, 2017

The report "AI in Fintech Market by Component (Solution, Service), Application Area (Virtual Assistant, Business Analytics & Reporting, Customer Behavioral Analytics), Deployment Mode (Cloud, On-Premises), and Region - Global forecast to 2022", The AI in Fintech market size is expected to grow from USD 1,337.7 Million in 2017 to USD 7,305.6 Million by 2022, at a Compound Annual Growth Rate (CAGR) of 40.4%. The growing internet penetration and availability of spatial data are some of the major driving factors of the AI in Fintech market. Furthermore, the increasing AI-enabled technological solutions in the capital market and rising mobile workforce are expected to provide opportunities for the growth of the AI in Fintech market.

Software tools solution is expected to be the largest contributor in the global AI in Fintech market during the forecast period

A large amount of non-trivial data is generated in the financial sector, and due to the unstructured data with compliance issues, financial companies are struggling to manage data. These issues need to be analyzed and monitored in order to plan further actions. Data quality and data governance solutions enable organizations to extract a better picture of their compliance related issues as well as data management. Data discovery is expected to be crucial in the years to come.

The managed service is expected to show a significant growth rate during the forecast period

The demand for services is growing with the evolution of the AI in Fintech market. Specifically, managed services are expected to have a fast growth rate during the forecast period. The solutions offered by vendors need to be integrated to avail the industry best practices of the AI in Fintech solutions. The market for managed services is expected to be growing faster owing to the need for deployment of AI in Fintech solutions either on-cloud or on-premises.

North America is expected to have the largest market share during the forecast period

North America is the most competitive and rapidly developing AI technology market for the finance industry in the world. North America, among all the regions, has shown the maximum adoption of AI in Fintech solutions, due to its early implementation in a majority of application areas. The US and Canada are projected to extensively implement AI in Fintech solutions; North America is expected to have the highest market share.

The AI in Fintech market report encompasses the competitive landscape, which presents the positioning of the 25 key AI in Fintech vendors, based on their product offerings and business strategies. Some of the major vendors are Microsoft (Washington, US), Google (California, US), Salesforce.com (California, US), IBM (New York, US), Intel (California, US), Amazon Web Services (Washington, US), Inbenta Technologies (California, US), IPsoft (New York, US), Nuance Communications (Massachusetts, US), and ComplyAdvantage.com (New York, US).

 

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