Data Science Platform Market by Business Function (Marketing, Sales, Logistics, Risk, Customer Support, Human Resources, & Operations), Deployment Model, Vertical, and Region - Global Forecast to 2021

データサイエンスプラットフォームの世界市場予測(~2021年)

◆タイトル:Data Science Platform Market by Business Function (Marketing, Sales, Logistics, Risk, Customer Support, Human Resources, & Operations), Deployment Model, Vertical, and Region - Global Forecast to 2021
◆商品コード:MAM-TC-5003
◆調査・発行会社:MarketsandMarkets
◆発行日:2017年2月17日
◆ページ数:139
◆レポート形式:PDF / 英語
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◆調査対象地域:グローバル
◆産業分野:通信・IT
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【レポートの概要】

当調査レポートでは、データサイエンス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、産業動向、バリューチェーン分析、業務機能別分析、導入形式別分析、産業別分析、地域別分析、データサイエンス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。

“Advancement in big data technologies is one of the drivers for the growth of the data science platform analytics market”The data science platform market size is estimated to grow from USD 19.58 billion in 2016 to USD 101.37 billion by 2021, at a Compound Annual Growth Rate (CAGR) of 38.9%. Enterprises are focusing on methods enabling simpler use of data to drive their business and advancement in big data technologies, these have fueled the growth of data science platform solutions. However, the lack of reliability on data science among enterprises and government rules & regulations are acting as the restraining factors for the data science platform market.

“Marketing business functions is expected to be the second fastest growing segment in the data science platform market”
Marketing business function is expected to have the second largest market share, as enterprises would be looking forward to incorporate data science platform in their mainframe systems to accurately predict customer’s Lifetime Value (LTV), share of wallet estimation, identification of customer attrition/ turnover, customer segmentation on basis of demographics, discount targeting, target marketing, and upselling. Further, the data science platform utilizes the extensive customer data available throughout the organization. It then combines this with external observations & interactions over channels to determine and forecast if the customer is likely to churn out in the near future.

“Asia-Pacific (APAC) is expected to have the highest growth rate in the data science platform market by region”
APAC is estimated to grow at the highest CAGR during the forecast period. The developing APAC market is poised to grow, as the developing economies, such as India, China, Australia, and New Zealand are aggressively adopting data science platforms to stay ahead in the competition. The region would be looking to increase the adoption of advanced analytical technologies, owing to flexible government policies, regulations, and control, competing with the international markets, in terms of quality and pricing. The APAC market will also be booming, as it is experiencing a lot of new entrepreneurial setups, which would be looking forward to acquire new customers and gain the customer’s trust by involving new paradigms of advanced analytics and data science platforms to have a competitive advantage over the established players.
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.

Break-up of profile of primary participants is as follows:
• By Company: Tier 1 – 48 %, Tier 2 –24%, and Tier 3 –28%
• By Designation: C level – 36%, Director level – 34%, and Others – 30%
• By Region: North America – 68%, Europe – 12%, and APAC – 20%

The data science platform market comprises the following major vendors:
1. Microsoft Corporation (U.S.)
2. IBM Corporation (U.S.)
3. Google, Inc. (U.S.)
4. Wolfram (U.S.)
5. DataRobot Inc. (U.S.)
6. Sense Inc. (U.S.)
7. RapidMiner Inc. (U.S.)
8. Domino Data Lab (U.S.)
9. Dataiku (France)
10. Alteryx, Inc. (U.S.)
11. Continuum Analytics, Inc. (U.S.)

Scope of the Report:
The report segments the data science platform market on the basis of business functions, which includes marketing, sales, logistics, risk, customer support, human resources, and operations; deployment models, such as on-premises & on-demand; verticals, such as healthcare & life sciences, Banking, Financial Services, & Insurance (BFSI), Information Technology (IT) & telecommunication, retail & consumer goods, media & entertainment, manufacturing, energy & utility, transportation & logistics, government & defense, and others; and regions, including North America, Europe, APAC, Middle East & Africa (MEA), and Latin America.

Reasons to Buy the Report:
• To get a comprehensive overview of the global data science platform market
• To gain wide-ranging information about the top players in this market sphere, their product portfolios, and key strategies adopted by them
• To gain insights of the major countries/regions, in which the data science platform market is flourishing in various industries

【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
1.3.1 MARKETS COVERED 14
1.3.2 YEARS CONSIDERED IN THE REPORT 14
1.4 CURRENCY 15
1.5 LIMITATIONS 15
1.6 STAKEHOLDERS 15

2 RESEARCH METHODOLOGY 16
2.1 RESEARCH DATA 16
2.1.1 SECONDARY DATA 17
2.1.1.1 Key data from secondary sources 17
2.1.2 PRIMARY DATA 18
2.1.2.1 Key data from primary sources 18
2.1.2.2 Key industry insights 19
2.1.2.3 Breakdown of primaries 19
2.2 MARKET SIZE ESTIMATION 20
2.3 MARKET BREAKDOWN AND DATA TRIANGULATION 22
2.4 RESEARCH ASSUMPTIONS 23

3 EXECUTIVE SUMMARY 24

4 PREMIUM INSIGHTS 28
4.1 ATTRACTIVE MARKET OPPORTUNITIES IN THE DATA SCIENCE PLATFORM MARKET 28
4.2 DATA SCIENCE PLATFORM MARKET: BY TOP THREE BUSINESS FUNCTIONS AND REGIONS 28
4.3 LIFECYCLE ANALYSIS, BY REGION 29
4.4 MARKET INVESTMENT SCENARIO 30
4.5 DATA SCIENCE PLATFORM MARKET: TOP THREE VERTICALS 30

5 MARKET OVERVIEW 31
5.1 INTRODUCTION 32
5.2 MARKET SEGMENTATION 32
5.2.1 BY BUSINESS FUNCTION 32
5.2.2 BY DEPLOYMENT MODEL 33
5.2.3 BY VERTICAL 33
5.2.4 BY REGION 33
5.3 MARKET EVOLUTION 34
5.4 MARKET DYNAMICS 34
5.4.1 DRIVERS 35
5.4.1.1 Enterprise focusing on ease of use methods to drive their business 35
5.4.1.2 Advancement in big data technologies 35
5.4.2 RESTRAINTS 36
5.4.2.1 Lack of reliability on data science among the enterprises 36
5.4.2.2 Government rules and regulations 36
5.4.2.3 Data governance 36
5.4.3 OPPORTUNITIES 37
5.4.3.1 Higher inclination of enterprises towards data intensive business strategies 37
5.4.3.2 High ROI through end-to-end data science platform implementation 37
5.4.4 CHALLENGES 37
5.4.4.1 High investment costs 37
5.4.4.2 Data privacy, security, and reliability 38
5.4.4.3 Requirement to constantly update the data science platform in order to cope with advance data sources, tools, and technologies 38

6 INDUSTRY TRENDS 39
6.1 INTRODUCTION 39
6.2 VALUE CHAIN ANALYSIS 39
6.3 DATA SCIENCE PLATFORM USE-CASES 40
6.3.1 INTRODUCTION 40
6.3.1.1 Customer relationship analytics 40
6.3.1.2 Human resource analytics 41
6.3.1.3 Clinical trial medication compliance 41
6.3.1.4 Digital agriculture 41
6.3.1.5 Churn analytics 42
6.4 DATA SCIENCE PLATFORM ECOSYSTEM 43

7 DATA SCIENCE PLATFORM MARKET, BY BUSINESS FUNCTION 44
7.1 INTRODUCTION 45
7.2 MARKETING 46
7.3 SALES 47
7.4 LOGISTICS 48
7.5 RISK 49
7.6 CUSTOMER SUPPORT 49
7.7 HUMAN RESOURCES 50
7.8 OPERATIONS 51

8 DATA SCIENCE PLATFORM MARKET ANALYSIS, BY DEPLOYMENT MODEL 53
8.1 INTRODUCTION 54
8.2 ON-PREMISES 55
8.3 ON-DEMAND 55

9 DATA SCIENCE PLATFORM MARKET ANALYSIS, BY VERTICAL 57
9.1 INTRODUCTION 58
9.2 BANKING, FINANCIAL SERVICES, AND INSURANCE 59
9.3 HEALTHCARE AND LIFE SCIENCES 60
9.4 INFORMATION TECHNOLOGY AND TELECOM 61
9.5 RETAIL AND CONSUMER GOODS 62
9.6 MEDIA AND ENTERTAINMENT 63
9.7 MANUFACTURING 64
9.8 TRANSPORTATION AND LOGISTICS 65
9.9 ENERGY AND UTILITIES 66
9.10 GOVERNMENT AND DEFENSE 67
9.11 OTHERS 68

10 GEOGRAPHIC ANALYSIS 70
10.1 INTRODUCTION 71
10.2 NORTH AMERICA 72
10.3 EUROPE 75
10.4 ASIA-PACIFIC 77
10.5 LATIN AMERICA 80
10.6 MIDDLE EAST AND AFRICA 82

11 COMPETITIVE LANDSCAPE 85
11.1 OVERVIEW 85
11.2 COMPETITIVE SITUATIONS AND TRENDS 86
11.2.1 PARTNERSHIPS, COLLABORATIONS, & AGREEMENTS 87
11.2.2 NEW PRODUCT LAUNCHES 90
11.2.3 EXPANSIONS 91
11.2.4 ACQUISITION 92
11.3 DATA SCIENCE PLATFORM MARKET: VENDOR COMPARISON 93
11.4 VENDOR INCLUSION CRITERIA 93
11.5 VENDORS EVALUATED 93

12 COMPANY PROFILES 96
12.1 INTRODUCTION 96
(Overview, Financials, Products & Services, Strategy, and Developments)*
12.2 MICROSOFT CORPORATION 97
12.3 IBM CORPORATION 101
12.4 GOOGLE, INC. 104
12.5 WOLFRAM 107
12.6 DATAROBOT, INC. 109
12.7 SENSE, INC. 112
12.8 RAPIDMINER, INC. 115
12.9 DOMINO DATA LAB 118
12.10 DATAIKU 119
12.11 ALTERYX, INC. 121
12.12 CONTINUUM ANALYTICS, INC. 124
*Details on overview, financials, product & services, strategy, and developments might not be captured in case of unlisted companies.
12.13 KEY INNOVATORS 125
12.13.1 BRIDGEI2I ANALYTICS 125
12.13.2 DATARPM 125
12.13.3 REXER ANALYTICS 126
12.13.4 FEATURE LABS 127
12.13.5 CIVIS ANALYTICS 127

13 APPENDIX 129
13.1 KEY INSIGHTS 129
13.2 DISCUSSION GUIDE 130
13.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 133
13.4 INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE 135
13.5 AVAILABLE CUSTOMIZATION 136
13.6 RELATED REPORTS 136
13.7 AUTHOR DETAILS 137

LIST OF TABLES

TABLE 1 DATA SCIENCE PLATFORM MARKET SIZE AND GROWTH,
2014–2021 (USD BILLION, Y-O-Y%) 25
TABLE 2 DATA SCIENCE PLATFORM MARKET SIZE, BY BUSINESS FUNCTION,
2014–2021 (USD BILLION) 45
TABLE 3 MARKETING: DATA SCIENCE PLATFORM MARKET SIZE, BY REGION,
2014–2021 (USD MILLION) 47
TABLE 4 SALES: DATA SCIENCE PLATFORM MARKET SIZE, BY REGION,
2014–2021 (USD MILLION) 47
TABLE 5 LOGISTICS: DATA SCIENCE PLATFORM MARKET SIZE, BY REGION,
2014–2021 (USD MILLION) 48
TABLE 6 RISK: DATA SCIENCE PLATFORM MARKET SIZE, BY REGION,
2014–2021 (USD MILLION) 49
TABLE 7 CUSTOMER SUPPORT: DATA SCIENCE PLATFORM MARKET SIZE, BY REGION, 2014–2021 (USD MILLION) 50
TABLE 8 HUMAN RESOURCES: DATA SCIENCE PLATFORM MARKET SIZE, BY REGION, 2014–2021 (USD MILLION) 51
TABLE 9 OPERATIONS: DATA SCIENCE PLATFORM MARKET SIZE, BY REGION,
2014–2021 (USD MILLION) 52
TABLE 10 DATA SCIENCE PLATFORM MARKET SIZE, BY DEPLOYMENT MODEL,
2014–2021 (USD BILLION) 54
TABLE 11 ON-PREMISES: DATA SCIENCE PLATFORM MARKET SIZE, BY REGION,
2014–2021 (USD MILLION) 55
TABLE 12 ON-DEMAND: DATA SCIENCE PLATFORM MARKET SIZE, BY REGION,
2014–2021 (USD MILLION) 56
TABLE 13 DATA SCIENCE PLATFORM MARKET SIZE, BY VERTICAL, 2014–2021 (USD BILLION) 58
TABLE 14 BANKING FINANCIAL SERVICES AND INSURANCE: DATA SCIENCE PLATFORM MARKET SIZE, BY REGION, 2014–2021 (USD MILLION) 59
TABLE 15 HEALTHCARE AND LIFE SCIENCES: DATA SCIENCE PLATFORM MARKET SIZE,
BY REGION, 2014–2021 (USD MILLION) 60
TABLE 16 IT AND TELECOM: DATA SCIENCE PLATFORM MARKET SIZE, BY REGION,
2014–2021 (USD MILLION) 61
TABLE 17 RETAIL AND CONSUMER GOODS: DATA SCIENCE PLATFORM MARKET SIZE,
BY REGION, 2014–2021 (USD MILLION) 63
TABLE 18 MEDIA AND ENTERTAINMENT: DATA SCIENCE PLATFORM MARKET SIZE,
BY REGION, 2014–2021 (USD MILLION) 64
TABLE 19 MANUFACTURING: DATA SCIENCE PLATFORM MARKET SIZE, BY REGION,
2014–2021 (USD MILLION) 65
TABLE 20 TRANSPORTATION AND LOGISTICS: DATA SCIENCE PLATFORM MARKET SIZE,
BY REGION, 2014–2021 (USD MILLION) 66
TABLE 21 ENERGY AND UTILITIES: DATA SCIENCE PLATFORM MARKET SIZE, BY REGION, 2014–2021 (USD MILLION) 67
TABLE 22 GOVERNMENT AND DEFENSE: DATA SCIENCE PLATFORM MARKET SIZE,
BY REGION, 2014–2021 (USD MILLION) 68
TABLE 23 OTHERS: DATA SCIENCE PLATFORM MARKET SIZE, BY REGION,
2014–2021 (USD MILLION) 69
TABLE 24 DATA SCIENCE PLATFORM MARKET SIZE, BY REGION, 2014–2021 (USD BILLION) 71
TABLE 25 NORTH AMERICA: DATA SCIENCE PLATFORM MARKET SIZE, BY VERTICAL,
2014–2021 (USD BILLION) 74
TABLE 26 NORTH AMERICA: DATA SCIENCE PLATFORM MARKET SIZE, BY BUSINESS FUNCTION, 2014–2021 (USD BILLION) 74
TABLE 27 NORTH AMERICA: DATA SCIENCE PLATFORM MARKET SIZE, BY DEPLOYMENT MODEL , 2014–2021 (USD MILLION) 75
TABLE 28 EUROPE: DATA SCIENCE PLATFORM MARKET SIZE, BY VERTICAL,
2014–2021 (USD BILLION) 76
TABLE 29 EUROPE: DATA SCIENCE PLATFORM MARKET SIZE, BY BUSINESS FUNCTION, 2014–2021 (USD MILLION) 77
TABLE 30 EUROPE: DATA SCIENCE PLATFORM MARKET SIZE, BY DEPLOYMENT MODEL, 2014–2021 (USD MILLION) 77
TABLE 31 ASIA-PACIFIC: DATA SCIENCE PLATFORM MARKET SIZE, BY VERTICAL,
2014–2021 (USD BILLION) 79
TABLE 32 ASIA-PACIFIC: DATA SCIENCE PLATFORM MARKET SIZE, BY BUSINESS FUNCTION, 2014–2021 (USD BILLION) 79
TABLE 33 ASIA-PACIFIC: DATA SCIENCE PLATFORM MARKET SIZE, BY DEPLOYMENT MODEL, 2014–2021 (USD MILLION) 80
TABLE 34 LATIN AMERICA: DATA SCIENCE PLATFORM MARKET SIZE, BY VERTICAL,
2014–2021 (USD MILLION) 80
TABLE 35 LATIN AMERICA: DATA SCIENCE PLATFORM MARKET SIZE, BY BUSINESS FUNCTION, 2014–2021 (USD BILLION) 81
TABLE 36 LATIN AMERICA: DATA SCIENCE PLATFORM MARKET SIZE, BY DEPLOYMENT MODEL, 2014–2021 (USD BILLION) 81
TABLE 37 MIDDLE EAST AND AFRICA: DATA SCIENCE PLATFORM MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION) 83
TABLE 38 MIDDLE EAST AND AFRICA: DATA SCIENCE PLATFORM MARKET SIZE, BY BUSINESS FUNCTION, 2014–2021 (USD MILLION) 83
TABLE 39 MIDDLE EAST AND AFRICA: DATA SCIENCE PLATFORM MARKET SIZE,
BY DEPLOYMENT MODEL, 2014–2021 (USD MILLION) 84
TABLE 40 PARTNERSHIPS, AGREEMENTS, AND COLLABORATIONS, 2014–2017 87
TABLE 41 NEW PRODUCT LAUNCHES, 2014-2016 90
TABLE 42 EXPANSIONS, 2014-2016 91
TABLE 43 ACQUISITIONS, 2015–2016 92
TABLE 44 EVALUATION CRITERIA 93


LIST OF FIGURES

FIGURE 1 DATA SCIENCE PLATFORM MARKET: MARKET SEGMENTATION 14
FIGURE 2 DATA SCIENCE PLATFORM MARKET: RESEARCH DESIGN 16
FIGURE 3 BREAKDOWN OF PRIMARY INTERVIEWS: BY COMPANY, DESIGNATION,
AND REGION 19
FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH 20
FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH 21
FIGURE 6 DATA TRIANGULATION 22
FIGURE 7 DATA SCIENCE PLATFORM MARKET: ASSUMPTIONS 23
FIGURE 8 TOP THREE LARGEST REVENUE SEGMENTS OF THE DATA SCIENCE PLATFORM MARKET, 2016–2021 25
FIGURE 9 NORTH AMERICA IS EXPECTED TO HOLD THE LARGEST MARKET SHARE IN THE DATA SCIENCE PLATFORM MARKET 26
FIGURE 10 ADVANCEMENT IN THE BIG DATA TECHNOLOGY IS DRIVING THE GROWTH OF THE DATA SCIENCE PLATFORM MARKET DURING THE FORECAST PERIOD 28
FIGURE 11 LOGISTICS BUSINESS FUNCTION IS EXPECTED TO HOLD THE LARGEST MARKET SHARE IN THE DATA SCIENCE PLATFORM MARKET IN 2016 28
FIGURE 12 ASIA-PACIFIC IS EXPECTED TO HAVE THE HIGHEST GROWTH OPPORTUNITY IN THE DATA SCIENCE PLATFORM MARKET DURING THE FORECAST PERIOD 29
FIGURE 13 MARKET INVESTMENT SCENARIO: ASIA-PACIFIC IS THE BEST MARKET TO INVEST DURING THE FORECAST PERIOD 30
FIGURE 14 BANKING, FINANCIAL SERVICES, & INSURANCE IS ESTIMATED TO HAVE THE LARGEST MARKET SIZE DURING THE FORECAST PERIOD 30
FIGURE 15 DATA SCIENCE PLATFORM MARKET SEGMENTATION: BY BUSINESS FUNCTION 32
FIGURE 16 DATA SCIENCE PLATFORM MARKET SEGMENTATION: BY DEPLOYMENT MODEL 33
FIGURE 17 DATA SCIENCE PLATFORM MARKET SEGMENTATION: BY VERTICAL 33
FIGURE 18 DATA SCIENCE PLATFORM MARKET SEGMENTATION: BY REGION 33
FIGURE 19 EVOLUTION OF DATA SCIENCE PLATFORM MARKET 34
FIGURE 20 DATA SCIENCE PLATFORM MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES,
AND CHALLENGES 35
FIGURE 21 DATA SCIENCE PLATFORM MARKET: VALUE CHAIN ANALYSIS 40
FIGURE 22 LOGISTICS BUSINESS FUNCTION IS EXPECTED TO HAVE THE LARGEST MARKET SIZE DURING THE FORECAST PERIOD 46
FIGURE 23 ON-PREMISES DEPLOYMENT MODEL IS EXPECTED TO HAVE THE LARGEST MARKET SIZE DURING FORECAST PERIOD 54
FIGURE 24 BFSI VERTICAL IS EXPECTED TO HAVE THE LARGEST MARKET SIZE DURING THE FORECAST PERIOD 59
FIGURE 25 NORTH AMERICA IS EXPECTED TO HAVE THE LARGEST MARKET SIZE IN THE DATA SCIENCE PLATFORM MARKET DURING THE FORECAST PERIOD 71
FIGURE 26 NORTH AMERICA MARKET SNAPSHOT 73
FIGURE 27 ASIA-PACIFIC MARKET SNAPSHOT 78
FIGURE 28 COMPANIES ADOPTED PARTNERSHIPS, COLLABORATIONS, & AGREEMENTS AS THEIR KEY GROWTH STRATEGY FROM 2011-2016 85
FIGURE 29 MARKET EVALUATION FRAMEWORK 86
FIGURE 30 BATTLE FOR MARKET SHARE: PARTNERSHIPS, COLLABORATIONS, & AGREEMENTS, AND NEW PRODUCT LAUNCHES WERE THE KEY STRATEGY IN THE DATA SCIENCE PLATFORM MARKET 87
FIGURE 31 EVALUATION OVERVIEW TABLE: PRODUCT OFFERING 94
FIGURE 32 EVALUATION OVERVIEW TABLE: BUSINESS STRATEGY 95
FIGURE 33 GEOGRAPHIC REVENUE MIX OF TOP THREE MARKET PLAYERS 96
FIGURE 34 MICROSOFT CORPORATION: COMPANY SNAPSHOT 97
FIGURE 35 MICROSOFT CORPORATION: SWOT ANALYSIS 99
FIGURE 36 IBM CORPORATION: COMPANY SNAPSHOT 101
FIGURE 37 IBM: SWOT ANALYSIS 103
FIGURE 38 GOOGLE, INC.: COMPANY SNAPSHOT 104
FIGURE 39 GOOGLE, INC.: SWOT ANALYSIS 105
FIGURE 40 WOLFRAM: SWOT ANALYSIS 108
FIGURE 41 DATAROBOT INC.: SWOT ANALYSIS 110
FIGURE 42 SENSE, INC.: SWOT ANALYSIS 113
FIGURE 43 RAPIDMINER, INC.: SWOT ANALYSIS 116


【レポートのキーワード】

データサイエンスプラットフォーム

★調査レポート[データサイエンスプラットフォームの世界市場予測(~2021年)] ( Data Science Platform Market by Business Function (Marketing, Sales, Logistics, Risk, Customer Support, Human Resources, & Operations), Deployment Model, Vertical, and Region - Global Forecast to 2021 / MAM-TC-5003) 販売に関する免責事項
[データサイエンスプラットフォームの世界市場予測(~2021年)] ( Data Science Platform Market by Business Function (Marketing, Sales, Logistics, Risk, Customer Support, Human Resources, & Operations), Deployment Model, Vertical, and Region - Global Forecast to 2021 / MAM-TC-5003) についてEメールでお問い合わせ


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