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

  • ID: 4072783
  • Report
  • Region: Global
  • 138 Pages
  • Markets and Markets
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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 CAGR of 38.9%

FEATURED COMPANIES

  • Alteryx, Inc.
  • Civis Analytics
  • Dataiku
  • Datarpm
  • Feature Labs
  • Ibm Corporation
  • MORE

“Advancement in big data technologies is one of the drivers for the growth of the data science platform analytics market”

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:

  1. To get a comprehensive overview of the global data science platform market.
  2. To gain wide-ranging information about the top players in this market sphere, their product portfolios, and key strategies adopted by them.
  3. To gain insights of the major countries/regions, in which the data science platform market is flourishing in various industries.
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FEATURED COMPANIES

  • Alteryx, Inc.
  • Civis Analytics
  • Dataiku
  • Datarpm
  • Feature Labs
  • Ibm Corporation
  • MORE

1 Introduction
1.1 Objectives of the Study
1.2 Market Definition
1.3 Market Scope
1.3.1 Markets Covered
1.3.2 Years Considered in the Report
1.4 Currency
1.5 Limitations
1.6 Stakeholders

2 Research Methodology
2.1 Research Data
2.1.1 Secondary Data
2.1.1.1 Key Data from Secondary Sources
2.1.2 Primary Data
2.1.2.1 Key Data from Primary Sources
2.1.2.2 Key Industry Insights
2.1.2.3 Breakdown of Primaries
2.2 Market Size Estimation
2.3 Market Breakdown And Data Triangulation
2.4 Research Assumptions

3 Executive Summary

4 Premium Insights
4.1 Attractive Market Opportunities in the Data Science Platform Market
4.2 Data Science Platform Market: By Top Three Business Functions And Regions
4.3 Lifecycle Analysis, By Region
4.4 Market Investment Scenario
4.5 Data Science Platform Market: Top Three Verticals

5 Market Overview
5.1 Introduction
5.2 Market Segmentation
5.2.1 By Business Function
5.2.2 By Deployment Model
5.2.3 By Vertical
5.2.4 By Region
5.3 Market Evolution
5.4 Market Dynamics
5.4.1 Drivers
5.4.1.1 Enterprise Focusing On Ease of Use Methods to Drive Their Business
5.4.1.2 Advancement in Big Data Technologies
5.4.2 Restraints
5.4.2.1 Lack of Reliability On Data Science Among the Enterprises
5.4.2.2 Government Rules And Regulations
5.4.2.3 Data Governance
5.4.3 Opportunities
5.4.3.1 Higher Inclination of Enterprises Towards Data Intensive Business Strategies
5.4.3.2 High Roi Through End-To-End Data Science Platform Implementation
5.4.4 Challenges
5.4.4.1 High Investment Costs
5.4.4.2 Data Privacy, Security, And Reliability
5.4.4.3 Requirement to Constantly Update the Data Science Platform in Order to Cope With Advance Data Sources, Tools, And Technologies

6 Industry Trends
6.1 Introduction
6.2 Value Chain Analysis
6.3 Data Science Platform Use-Cases
6.3.1 Introduction
6.3.1.1 Customer Relationship Analytics
6.3.1.2 Human Resource Analytics
6.3.1.3 Clinical Trial Medication Compliance
6.3.1.4 Digital Agriculture
6.3.1.5 Churn Analytics
6.4 Data Science Platform Ecosystem

7 Data Science Platform Market, By Business Function
7.1 Introduction
7.2 Marketing
7.3 Sales
7.4 Logistics
7.5 Risk
7.6 Customer Support
7.7 Human Resources
7.8 Operations

8 Data Science Platform Market Analysis, By Deployment Model
8.1 Introduction
8.2 On-Premises
8.3 On-Demand

9 Data Science Platform Market Analysis, By Vertical
9.1 Introduction
9.2 Banking, Financial Services, And Insurance
9.3 Healthcare And Life Sciences
9.4 Information Technology And Telecom
9.5 Retail And Consumer Goods
9.6 Media And Entertainment
9.7 Manufacturing
9.8 Transportation And Logistics
9.9 Energy And Utilities
9.10 Government And Defense
9.11 Others

10 Geographic Analysis
10.1 Introduction
10.2 North America
10.3 Europe
10.4 Asia-Pacific
10.5 Latin America
10.6 Middle East And Africa

11 Competitive Landscape
11.1 Overview
11.2 Competitive Situations And Trends
11.2.1 Partnerships, Collaborations, & Agreements
11.2.2 New Product Launches
11.2.3 Expansions
11.2.4 Acquisition
11.3 Data Science Platform Market: Vendor Comparison
11.4 Vendor Inclusion Criteria
11.5 Vendors Evaluated

12 Company Profiles
12.1 Introduction
(Overview, Financials, Products & Services, Strategy, And Developments) -
12.2 Microsoft Corporation
12.3 Ibm Corporation
12.4 Google, Inc.
12.5 Wolfram
12.6 Datarobot, Inc.
12.7 Sense, Inc.
12.8 Rapidminer, Inc.
12.9 Domino Data Lab
12.10 Dataiku
12.11 Alteryx, Inc.
12.12 Continuum Analytics, Inc.

  • Details On Overview, Financials, Product & Services, Strategy, And Developments Might Not Be Captured in Case of Unlisted Companies.

12.13 Key Innovators
12.13.1 Bridgei2I Analytics
12.13.2 Datarpm
12.13.3 Rexer Analytics
12.13.4 Feature Labs
12.13.5 Civis Analytics

13 Appendix
13.1 Key Insights
13.2 Discussion Guide
13.3 Knowledge Store: Subscription Portal
13.4 Introducing Rt: Real-Time Market Intelligence
13.5 Available Customization
13.6 Related Reports
13.7 Author Details

List of Tables:
Table 1 Data Science Platform Market Size And Growth,  2014-2021 (USD Billion, Y-O-Y%)
Table 2 Data Science Platform Market Size, By Business Function,  2014-2021 (USD Billion)
Table 3 Marketing: Data Science Platform Market Size, By Region,  2014-2021 (USD Million)
Table 4 Sales: Data Science Platform Market Size, By Region, 2014-2021 (USD Million)
Table 5 Logistics: Data Science Platform Market Size, By Region,  2014-2021 (USD Million)
Table 6 Risk: Data Science Platform Market Size, By Region, 2014-2021 (USD Million)
Table 7 Customer Support: Data Science Platform Market Size, By Region,  2014-2021 (USD Million)
Table 8 Human Resources: Data Science Platform Market Size, By Region,  2014-2021 (USD Million)
Table 9 Operations: Data Science Platform Market Size, By Region,  2014-2021 (USD Million)
Table 10 Data Science Platform Market Size, By Deployment Model,  2014-2021 (USD Billion)
Table 11 On-Premises: Data Science Platform Market Size, By Region,  2014-2021 (USD Million)
Table 12 On-Demand: Data Science Platform Market Size, By Region,  2014-2021 (USD Million)
Table 13 Data Science Platform Market Size, By Vertical, 2014-2021 (USD Billion)
Table 14 Banking Financial Services And Insurance: Data Science Platform Market Size, By Region, 2014-2021 (USD Million)
Table 15 Healthcare And Life Sciences: Data Science Platform Market Size, By Region, 2014-2021 (USD Million)
Table 16 It And Telecom: Data Science Platform Market Size, By Region,  2014-2021 (USD Million)
Table 17 Retail And Consumer Goods: Data Science Platform Market Size, By Region, 2014-2021 (USD Million)
Table 18 Media And Entertainment: Data Science Platform Market Size, By Region, 2014-2021 (USD Million)
Table 19 Manufacturing: Data Science Platform Market Size, By Region,  2014-2021 (USD Million)
Table 20 Transportation And Logistics: Data Science Platform Market Size, By Region, 2014-2021 (USD Million)
Table 21 Energy And Utilities: Data Science Platform Market Size, By Region,  2014-2021 (USD Million)
Table 22 Government And Defense: Data Science Platform Market Size, By Region, 2014-2021 (USD Million)
Table 23 Others: Data Science Platform Market Size, By Region,  2014-2021 (USD Million)
Table 24 Data Science Platform Market Size, By Region, 2014-2021 (USD Billion)
Table 25 North America: Data Science Platform Market Size, By Vertical,  2014-2021 (USD Billion)
Table 26 North America: Data Science Platform Market Size, By Business Function, 2014-2021 (USD Billion)
Table 27 North America: Data Science Platform Market Size, By Deployment Model , 2014-2021 (USD Million)
Table 28 Europe: Data Science Platform Market Size, By Vertical,  2014-2021 (USD Billion)
Table 29 Europe: Data Science Platform Market Size, By Business Function,  2014-2021 (USD Million)
Table 30 Europe: Data Science Platform Market Size, By Deployment Model,  2014-2021 (USD Million)
Table 31 Asia-Pacific: Data Science Platform Market Size, By Vertical,  2014-2021 (USD Billion)
Table 32 Asia-Pacific: Data Science Platform Market Size, By Business Function,  2014-2021 (USD Billion)
Table 33 Asia-Pacific: Data Science Platform Market Size, By Deployment Model,  2014-2021 (USD Million)
Table 34 Latin America: Data Science Platform Market Size, By Vertical,  2014-2021 (USD Million)
Table 35 Latin America: Data Science Platform Market Size, By Business Function, 2014-2021 (USD Billion)
Table 36 Latin America: Data Science Platform Market Size, By Deployment Model, 2014-2021 (USD Billion)
Table 37 Middle East And Africa: Data Science Platform Market Size, By Vertical, 2014-2021 (USD Million)
Table 38 Middle East And Africa: Data Science Platform Market Size, By Business Function, 2014-2021 (USD Million)
Table 39 Middle East And Africa: Data Science Platform Market Size, By Deployment Model, 2014-2021 (USD Million)
Table 40 Partnerships, Agreements, And Collaborations, 2014-2017
Table 41 New Product Launches, 2014-2016
Table 42 Expansions, 2014-2016
Table 43 Acquisitions, 2015-2016
Table 44 Evaluation Criteria

List of Figures:
Figure 1 Data Science Platform Market: Market Segmentation
Figure 2 Data Science Platform Market: Research Design
Figure 3 Breakdown of Primary Interviews: By Company, Designation,  And Region
Figure 4 Market Size Estimation Methodology: Bottom-Up Approach
Figure 5 Market Size Estimation Methodology: Top-Down Approach
Figure 6 Data Triangulation
Figure 7 Data Science Platform Market: Assumptions
Figure 8 Top Three Largest Revenue Segments of the Data Science Platform Market, 2016-2021
Figure 9 North America is Expected to Hold the Largest Market Share in the Data Science Platform Market
Figure 10 Advancement in the Big Data Technology is Driving the Growth of the Data Science Platform Market During the Forecast Period
Figure 11 Logistics Business Function is Expected to Hold the Largest Market Share in the Data Science Platform Market in 2016
Figure 12 Asia-Pacific is Expected to Have the Highest Growth Opportunity in the Data Science Platform Market During the Forecast Period
Figure 13 Market Investment Scenario: Asia-Pacific is the Best Market to Invest During the Forecast Period
Figure 14 Banking, Financial Services, & Insurance is Estimated to Have the Largest Market Size During the Forecast Period
Figure 15 Data Science Platform Market Segmentation: By Business Function
Figure 16 Data Science Platform Market Segmentation: By Deployment Model
Figure 17 Data Science Platform Market Segmentation: By Vertical
Figure 18 Data Science Platform Market Segmentation: By Region
Figure 19 Evolution of Data Science Platform Market
Figure 20 Data Science Platform Market: Drivers, Restraints, Opportunities, And Challenges
Figure 21 Data Science Platform Market: Value Chain Analysis
Figure 22 Logistics Business Function is Expected to Have the Largest Market Size During the Forecast Period
Figure 23 On-Premises Deployment Model is Expected to Have the Largest Market Size During Forecast Period
Figure 24 Bfsi Vertical is Expected to Have the Largest Market Size During the Forecast Period
Figure 25 North America is Expected to Have the Largest Market Size in the Data Science Platform Market During the Forecast Period
Figure 26 North America Market Snapshot
Figure 27 Asia-Pacific Market Snapshot
Figure 28 Companies Adopted Partnerships, Collaborations, & Agreements As Their Key Growth Strategy from 2011-2016
Figure 29 Market Evaluation Framework
Figure 30 Battle for Market Share: Partnerships, Collaborations, & Agreements, And New Product Launches Were the Key Strategy in the Data Science Platform Market
Figure 31 Evaluation Overview Table: Product Offering
Figure 32 Evaluation Overview Table: Business Strategy
Figure 33 Geographic Revenue Mix of Top Three Market Players
Figure 34 Microsoft Corporation: Company Snapshot
Figure 35 Microsoft Corporation: Swot Analysis
Figure 36 Ibm Corporation: Company Snapshot
Figure 37 Ibm: Swot Analysis
Figure 38 Google, Inc.: Company Snapshot
Figure 39 Google, Inc.: Swot Analysis
Figure 40 Wolfram: Swot Analysis
Figure 41 Datarobot Inc.: Swot Analysis
Figure 42 Sense, Inc.: Swot Analysis
Figure 43 Rapidminer, Inc.: Swot Analysis

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FEATURED COMPANIES

  • Alteryx, Inc.
  • Civis Analytics
  • Dataiku
  • Datarpm
  • Feature Labs
  • Ibm Corporation
  • MORE

The data science platform market is estimated to grow from USD 19.58 Billion in 2016 to USD 101.37 Billion by 2021, at a high Compound Annual Growth Rate (CAGR) of 38.9% during the forecast period. Enterprises focusing on methods enabling simpler use of data to drive their business and advancement in big data technologies are the key drivers that propel the growth of the data science platform market.

The report provides detailed insights into the global market, which is segmented by business function, deployment model, vertical, and region. In business functions, the logistics segment holds the largest market share and is gaining significant importance among corporates & enterprises. In the logistics industry, customer satisfaction, global expansion, strong delivery & transport network, and presence of wide global/local presence are the most essential factors. Data scientists apply advanced mathematics and statistics to address numerous business queries that delivers insights to management, thereby maximizing the return on assets and high Returns on Investments (RoI).

The on-premises deployment model has a higher adoption, compared to the on-demand deployment model. The on-premises deployment model provides confidentiality and privacy parameters to the organizational data; hence, most of the organizations are adopting the on-premises deployment model. The Banking, Financial Services, and Insurance (BFSI) segment has shown the largest market share in vertical segment, where data science platform helps financial institutions to cut down on the risks that are likely to arise from the poor quality of data. Moreover, the growing data to fetch customer insights from the channels, such as Point of Sale (PoS) and Automated Teller Machine (ATM) has additionally enhanced the adoption of the data science platform market.  However, the manufacturing industry is poised to grow at the highest rate during the forecast period, where data science platform  will facilitate  data scientists to stream real-time analytics, ingesting from sensors and devices situated at the shop floor of the factory to make pertinent business decisions.

The North American market is expected to hold the largest market share, owing to capital intensive industries present across the region. Enterprises will looking to embrace data science platform as the revered platform will help them have a competitive edge in the marketplace. Further, the presence of mammoth players, such as IBM Corporation, Microsoft Corporation, and Google Inc. propel the demand of data science platform in this region.  The APAC market is anticipated to have the highest growth rate, owing to exponential increase in Foreign Direct Investments (FDIs), flexible government policies advocating the growth of digitalization, industrialization, and several smart city initiatives by various governments intensify the adoption of the data science platform market by leaps and bounds.

Lack of reliability on data science among enterprises, government rules & regulations, and data governance are the restraining factors for the data science platform market. High investment costs, data privacy &security, and reliability are some of the stumbling blocks in the adoption of data science platform solutions.

Most of the vendors have adopted agreements, collaborations & partnerships, new product launches, product upgradations, and expansions as the key strategy to enhance their client base & customer experience. For instance, in September 2016, Microsoft and Adobe entered into a strategic partnership to help enterprise companies embrace digital transformation and deliver compelling, personalized experiences through every phase of their customer relationship. This partnership will enable businesses to strengthen their brands through solutions with Microsoft Azure, Adobe Marketing Cloud, and Microsoft Dynamics 365. The strategy of new product launches has also been adopted by top players to innovate in this marketspace. For example, in October 2016, IBM launched Watson Data Platform that delivers data ingestion engine and cognitive powered decision-making tools that allows data scientists to leverage Artificial Intelligence (AI) for business use.

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  • Alteryx, Inc.
  • Bridgei2I Analytics
  • Civis Analytics
  • Continuum Analytics, Inc.
  • Dataiku
  • Datarobot, Inc.
  • Datarpm
  • Domino Data Lab
  • Feature Labs
  • Google, Inc.
  • Ibm Corporation
  • Microsoft Corporation
  • Rapidminer, Inc.
  • Rexer Analytics
  • Sense, Inc.
  • Wolfram
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