Marktanalyse - 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

MarketsandMarkets
02.2017
139 Seiten

 
Typ:
Marktanalyse
Verfüg­barkeit:
verfügbar
Regionen/­Länder:
  • Europa
  • Asien / Pazifik
  • Mittlerer Osten / Afrika
  • Nordamerika / USA
  • Australien
  • Mittel- / Südamerika
Sprache:
Englisch

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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
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

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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

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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

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