Data Science Platform Market

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Data Science Platform Market by Component (Platform and Services), Business Function (Marketing, Sales, Logistics, and Customer Support), Deployment Mode (On-Premises and Cloud), Organization Size, Industry Vertical, and Region - Global Forecast to 2024

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Report Code: TC 5003 Feb, 2020, by marketsandmarkets.com

[189 Pages Report] The data science platform market size is expected to grow from USD 37.9 billion in 2019 to USD 140.9 billion by 2024, at a Compound Annual Growth Rate (CAGR) of 30.0% during the forecast period. Key growth factors for the market include the increasing focus of enterprises on ease of use methods to drive business and growing need to extract in-depth insights from voluminous data to gain a competitive advantage. The growing inclination of enterprises toward data-intensive business strategies and rising adoption of advanced technologies to create many opportunities for the vendors of data science platform.

Data Science Platform Market

Platform segment to hold a larger market size during the forecast period

The data science platform market by component covers platform and services. The platform segment outperforms the services segment and is anticipated to record a higher market share during the forecast period due to the growing adoption of the data science platform among Small and Medium-sized Enterprises (SMEs). Organizations are increasingly moving toward digitalization and automation, which are increasing big data and leading to complex business processes. To deal with these complexities, organizations need advanced technologies that help in gaining real-time insights into a vast pool of data. The data science platform helps them streamline business processes and acquire new customers.

Services segment to grow at a higher CAGR during the forecast period

The growth of the services segment can be attributed to the rising data science platform deployment, which is increasing the demand for pre- and post-deployment services. Data science platform services help users build, assess, and leverage data science platform environments to avoid time wastage and efforts on a failed implementation. The services that can be incorporated with the data science platform are managed services and professional services. The growth of the professional services segment is mainly governed by the growing complexity of operations and the increasing deployment of Business Intelligence (BI) platform. All the pre- and post-deployment questions and needs of clients are taken care of through the managed services unit. Managed services ensure a quicker response as compared to internal analytics.

Data Science Platform Market

APAC is expected to hold the highest CAGR during the forecast period

The global data science platform market covers five major geographic regions: North America, Asia Pacific (APAC), Europe, Middle East and Africa (MEA), and Latin America. North America is expected to hold the largest market size during the forecast period. The growing demand for cloud, IoT, and edge solutions is generating a huge amount of data, thereby increasing the need of advanced technologies for data processing. This need for data processing is boosting the demand for the data science platform in the APAC region. Moreover, the investments by major tech companies are also expected to fuel the growth of the market across the region.

Key Market Players

The data science platform market comprises key solution providers, such as IBM Corporation (US), Microsoft Corporation (US), Alphabet Inc. (Google) (US), Altair Engineering, Inc. (US), Alteryx, Inc. (US), MathWorks (Australia), SAS Institute Inc. (US), RapidMiner, Inc. (US), Cloudera, Inc. (US), Anaconda, Inc. (US), Wolfram (US), Dataiku (US), Civis Analytics (US), H2O.ai. (US), Domino Data Lab, Inc. (US), RStudio, Inc. (US), Rapid Insight (US), DataRobot, Inc. (US), Rexer Analytics (US), SAP (Germany), and Databricks (US).

The study includes an in-depth competitive analysis of the key players in the market, along with their company profiles, recent developments, and key market strategies.

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Scope of the Report

Report Metric	Details
Market size available for years	2017�2024
Base year considered	2018
Forecast period	2019�2024
Forecast units	Million (USD)
Segments covered	Components, Industry Verticals, Deployment Modes, Business Functions, Organization size, and Regions
Geographies covered	North America, Europe, APAC, MEA, and Latin America
Companies covered	IBM Corporation (US), Microsoft Corporation (US), Alphabet Inc. (Google) (US), Altair Engineering, Inc. (US), Alteryx, Inc. (US), MathWorks (Australia), SAS Institute Inc. (US), RapidMiner, Inc. (US), Cloudera, Inc. (US), Anaconda, Inc. (US), Wolfram (US), Dataiku (US), Civis Analytics (US), H2O.ai. (US), Domino Data Lab, Inc. (US), RStudio, Inc. (US), Rapid Insight (US), DataRobot, Inc. (US), Rexer Analytics (US), SAP (Germany), and Databricks (US)

This research report categorizes the market based on components, industry verticals, deployment modes, business functions, organization size, and regions.

Based on components, the data science platform market has the following segments:

Platform
Services
- Managed Services
- Professional Services
Training and Consulting
Integration and Deployment
Support and Maintenance

Based on industry verticals, the market has the following segments:

Banking, Financial Services, and Insurance (BFSI)
Telecom and IT
Retail and eCommerce
Healthcare and Life sciences
Manufacturing
Energy and Utilities
Media and Entertainment
Transportation and Logistics
Government
Others (travel and hospitality, education, and research)

Based on deployment modes, the market has the following segments:

Cloud
On-premises

Based on business functions, the data science platform market has the following segments:

Marketing
Sales
Logistics
Finance and Accounting
Customer Support
Others (operation and HR)

Based on organization size, the market has the following segments:

Small and Medium-sized Enterprises (SMEs)
Large Enterprises

Based on regions, the market has the following segments:

North America
- US
- Canada
Europe
- UK
- Germany
- France
- Rest of Europe
APAC
- China
- Japan
- India
- Rest of APAC
MEA
- Middle East
- South Africa
Latin America
- Brazil
- Mexico
- Rest of Latin America

Recent Developments:

In July 2019, Microsoft released Microsoft Machine Learning Server 9.4. This platform provides Python function libraries, and R for ML and data science. It also contains updates for R and Python engines with additional Spark 2.4 and CDH 6.1 support.
In August 2019, IBM announced IBM Data Science and Business Analytics Platform V1.3. The platform includes IBM Decision Optimization for private cloud, IBM SPSS Modeler, and IBM Planning Analytics Advanced that was previously called IBM Performance Management Advanced. The new platform would help data scientists and analysts in understanding, analyzing, and visualizing information.
In April 2019, Google launched an AI platform. This platform will make the development of ML projects easier. It has an integrated toolchain that would assist in building and running ML applications. With this launch, Google�s AI technologies such as TensorFlow Extended (TFX), TensorFlow, and Tensor Processing Units (TPUs) would be easily accessible.

Key Questions addressed by the report:

What are the opportunities in the data science platform market?
What is the competitive landscape of the market?
What are the emerging technologies impacting the overall market?
What are the key use cases existing in the market?
What are the key trends and dynamics existing in the market?

Frequently Asked Questions (FAQ):

What is Data science platform?

Data science platform is the combination of statistical, mathematical, and programming techniques that use machine learning algorithms and advances analytics to uncover insights from data and automate data processing activities, such as data discovery, data cleansing, data preparation, data analysis, and data visualization. It helps organizations in making data-driven decisions to enhance operational efficiency and improve customer experience.

What are the top vendors in data science platform market?

Major vendors offering data science platform and services includes Microsoft, Google (Alphabet), IBM, SAP, Altair, Alteryx, MathWorks, SAS Institute, RapidMiner, Cloudera, Anaconda, Wolfram, Dataiku, Civis Analytics, H2O.ai., Domino Data Lab, DataRobot, and RStudio. These vendors have adopted different types of organic and inorganic growth strategies such as new product launches, partnerships and collaborations, and mergers and acquisitions to expand their offerings in the market.

What is the market size of Data Science Platform market?

The data science platform market size is expected to grow from USD 37.9 billion in 2019 to USD 140.9 billion by 2024, at a Compound Annual Growth Rate (CAGR) of 30.0% during the forecast period. Key growth factors for the market include the increasing focus of enterprises on ease of use methods to drive business and growing need to extract in-depth insights from voluminous data to gain a competitive advantage. The growing inclination of enterprises toward data-intensive business strategies and rising adoption of advanced technologies to create many opportunities for the vendors of data science platform

Which industry verticals are adopting Data Science Platform and services?

The top industry verticals adopting data science platform and services include BFSI, telecom and IT, retail and eCommerce, healthcare and life sciences, and manufacturing. BFSI companies are realizing the potential of data science platform to provide real-time banking and insurance product and services recommendations, which can ensure streamlined user experience and business.

What are the regulations impacting the Data Science Platform Market?

The acts or regulations having impact on the growth of data science market include General Data Protection Regulation, Health Insurance Portability and Accountability Act (HIPAA), Health Information Technology for Economic and Clinical Health Act, California Consumer Privacy Act, Sarbanes-Oxley Act Of 2002, and Payment Card Industry Data Security Standard. .

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TABLE OF CONTENTS

1 INTRODUCTION (Page No. - 20)
    1.1 OBJECTIVES OF THE STUDY
    1.2 MARKET DEFINITION
           1.2.1 INCLUSIONS AND EXCLUSIONS
    1.3 MARKET SCOPE
           1.3.1 MARKET SEGMENTATION
           1.3.2 REGIONS COVERED
    1.4 YEARS CONSIDERED FOR THE STUDY
    1.5 CURRENCY CONSIDERED
    1.6 STAKEHOLDERS

2 RESEARCH METHODOLOGY (Page No. - 24)
    2.1 RESEARCH DATA
           2.1.1 SECONDARY DATA
           2.1.2 PRIMARY DATA
                    2.1.2.1 Breakup of primaries
                    2.1.2.2 Key industry insights
    2.2 DATA TRIANGULATION
    2.3 MARKET SIZE ESTIMATION
    2.4 MARKET FORECAST
    2.5 ASSUMPTIONS FOR THE STUDY
    2.6 LIMITATIONS OF THE STUDY

3 EXECUTIVE SUMMARY (Page No. - 32)

4 PREMIUM INSIGHTS (Page No. - 37)
    4.1 ATTRACTIVE OPPORTUNITIES IN THE DATA SCIENCE PLATFORM MARKET
    4.2 MARKET TOP 3 BUSINESS FUNCTIONS
    4.3 MARKET BY REGION
    4.4 MARKET IN NORTH AMERICA, BY BUSINESS FUNCTION AND INDUSTRY VERTICAL

5 MARKET OVERVIEW AND INDUSTRY TRENDS (Page No. - 40)
    5.1 INTRODUCTION
    5.2 MARKET DYNAMICS
           5.2.1 DRIVERS
                    5.2.1.1 Enterprises focusing on ease of use methods to drive business
                    5.2.1.2 Growing need to extract in-depth insights from voluminous data to gain competitive advantage
           5.2.2 RESTRAINTS
                    5.2.2.1 Stringent government rules and regulations
           5.2.3 OPPORTUNITIES
                    5.2.3.1 Higher inclination of enterprises toward data-intensive business strategies
                    5.2.3.2 Rise in adoption of advanced technologies
           5.2.4 CHALLENGES
                    5.2.4.1 Lack of adequately skilled workforce
                    5.2.4.2 Data privacy, security, and reliability concerns
    5.3 INDUSTRY TRENDS
           5.3.1 VALUE CHAIN ANALYSIS
           5.3.2 USE CASES
                    5.3.2.1 Use case: Scenario 1
                    5.3.2.2 Use case: Scenario 2
                    5.3.2.3 Use case: Scenario 3
    5.4 IMPACT OF TECHNOLOGIES ON DATA SCIENCE PLATFORM
           5.4.1 MACHINE LEARNING
           5.4.2 DEEP LEARNING
           5.4.3 NATURAL LANGUAGE PROCESSING
    5.5 REGULATORY IMPLICATIONS
           5.5.1 GENERAL DATA PROTECTION REGULATION
           5.5.2 THE INTERNATIONAL ORGANIZATION FOR STANDARDIZATION 27001
           5.5.3 PAYMENT CARD INDUSTRY DATA SECURITY STANDARD
           5.5.4 BASEL COMMITTEE ON BANKING SUPERVISION 239 COMPLIANCE
           5.5.5 CALIFORNIA CONSUMER PRIVACY ACT
           5.5.6 HEALTH INSURANCE PORTABILITY AND ACCOUNTABILITY ACT OF 1996
           5.5.7 HEALTH INFORMATION TECHNOLOGY FOR ECONOMIC AND CLINICAL HEALTH ACT
           5.5.8 SARBANES-OXLEY ACT OF 2002
           5.5.9 PERSONAL DATA PROTECTION ACT

6 DATA SCIENCE PLATFORM MARKET, BY COMPONENT (Page No. - 50)
    6.1 INTRODUCTION
    6.2 PLATFORM
           6.2.1 PLATFORM: MARKET DRIVER
    6.3 SERVICES
           6.3.1 MANAGED SERVICES
                    6.3.1.1 Managed services: market drivers
           6.3.2 PROFESSIONAL SERVICES
                    6.3.2.1 Training and consulting
                               6.3.2.1.1 Training and consulting: market drivers
                    6.3.2.2 Integration and deployment
                               6.3.2.2.1 Integration and deployment: market driver
                    6.3.2.3 Support and maintenance
                               6.3.2.3.1 Support and maintenance: market drivers

7 DATA SCIENCE PLATFORM MARKET, BY DEPLOYMENT MODE (Page No. - 60)
    7.1 INTRODUCTION
    7.2 ON-PREMISES
           7.2.1 ON-PREMISES: MARKET DRIVERS
    7.3 CLOUD
           7.3.1 CLOUD: MARKET DRIVERS

8 DATA SCIENCE PLATFORM MARKET, BY ORGANIZATION SIZE (Page No. - 64)
    8.1 INTRODUCTION
    8.2 LARGE ENTERPRISES
           8.2.1 LARGE ENTERPRISES: MARKET DRIVERS
    8.3 SMALL AND MEDIUM-SIZED ENTERPRISES
           8.3.1 SMALL AND MEDIUM-SIZED ENTERPRISES: MARKET DRIVER

9 DATA SCIENCE PLATFORM MARKET, BY BUSINESS FUNCTION (Page No. - 68)
    9.1 INTRODUCTION
    9.2 MARKETING
           9.2.1 MARKETING: MARKET DRIVERS
    9.3 SALES
           9.3.1 SALES: MARKET DRIVERS
    9.4 LOGISTICS
           9.4.1 LOGISTICS: MARKET DRIVERS
    9.5 FINANCE AND ACCOUNTING
           9.5.1 FINANCE AND ACCOUNTING: MARKET DRIVERS
    9.6 CUSTOMER SUPPORT
           9.6.1 CUSTOMER SUPPORT: MARKET DRIVERS
    9.7 OTHERS
           9.7.1 OTHERS: MARKET DRIVERS

10 DATA SCIENCE PLATFORM MARKET, BY INDUSTRY VERTICAL (Page No. - 77)
     10.1 INTRODUCTION
     10.2 BANKING, FINANCIAL SERVICES, AND INSURANCE
             10.2.1 BANKING, FINANCIAL SERVICES, AND INSURANCE: MARKET DRIVERS
     10.3 TELECOM AND IT
             10.3.1 TELECOM AND IT: MARKET DRIVER
     10.4 RETAIL AND ECOMMERCE
             10.4.1 RETAIL AND ECOMMERCE: MARKET DRIVERS
     10.5 HEALTHCARE AND LIFE SCIENCES
             10.5.1 HEALTHCARE AND LIFE SCIENCES: MARKET DRIVERS
     10.6 MANUFACTURING
             10.6.1 MANUFACTURING: DATA SCIENCE PLATFORM MARKET DRIVERS
     10.7 ENERGY AND UTILITIES
             10.7.1 ENERGY AND UTILITIES: MARKET DRIVERS
     10.8 MEDIA AND ENTERTAINMENT
             10.8.1 MEDIA AND ENTERTAINMENT: MARKET DRIVERS
     10.9 TRANSPORTATION AND LOGISTICS
             10.9.1 TRANSPORTATION AND LOGISTICS: MARKET DRIVER
     10.10 GOVERNMENT AND DEFENSE
               10.10.1 GOVERNMENT AND DEFENSE: MARKET DRIVERS
     10.11 OTHERS

11 DATA SCIENCE PLATFORM MARKET, BY REGION (Page No. - 92)
     11.1 INTRODUCTION
     11.2 NORTH AMERICA
             11.2.1 UNITED STATES
                       11.2.1.1 United states: market drivers
             11.2.2 CANADA
                       11.2.2.1 Canada: market driver
     11.3 EUROPE
             11.3.1 UNITED KINGDOM
                       11.3.1.1 United Kingdom: market driver
             11.3.2 GERMANY
                       11.3.2.1 Germany: market driver
             11.3.3 FRANCE
                       11.3.3.1 France: market driver
             11.3.4 REST OF EUROPE
     11.4 ASIA PACIFIC
             11.4.1 CHINA
                       11.4.1.1 China: data science platform market driver
             11.4.2 JAPAN
                       11.4.2.1 Japan: market driver
             11.4.3 INDIA
                       11.4.3.1 India: market driver
             11.4.4 REST OF ASIA PACIFIC
     11.5 MIDDLE EAST AND AFRICA
             11.5.1 MIDDLE EAST
                       11.5.1.1 Middle east: market driver
             11.5.2 SOUTH AFRICA
                       11.5.2.1 South Africa: market driver
     11.6 LATIN AMERICA
             11.6.1 BRAZIL
                       11.6.1.1 Brazil: market driver
             11.6.2 MEXICO
                       11.6.2.1 Mexico: market driver
             11.6.3 REST OF LATIN AMERICA

12 COMPETITIVE LANDSCAPE (Page No. - 134)
     12.1 OVERVIEW
     12.2 COMPETITIVE LEADERSHIP MAPPING
             12.2.1 VISIONARY LEADERS
             12.2.2 INNOVATORS
             12.2.3 DYNAMIC DIFFERENTIATORS
             12.2.4 EMERGING COMPANIES

13 COMPANY PROFILES (Page No. - 136)
     13.1 INTRODUCTION
(Business Overview, Solutions, Services, Organic and Inorganic growth strategies, RIGHT-TO-WIN, Key Insights, Recent Developments, SWOT Analysis)*
     13.2 MICROSOFT
     13.3 IBM
     13.4 GOOGLE
     13.5 SAS INSTITUTE
     13.6 ALTAIR
     13.7 CLOUDERA
     13.8 ALTERYX
     13.9 DATABRICKS
     13.10 WOLFRAM
     13.11 MATHWORKS
     13.12 RAPIDMINER
     13.13 ANACONDA
     13.14 BRIDGEI2I
     13.15 REXER ANALYTICS
     13.16 DOMINO DATA LAB
     13.17 DATAIKU
     13.18 CIVIS ANALYTICS
     13.19 H2O.AI
     13.20 RSTUDIO
     13.21 RAPID INSIGHT
     13.22 SAP

*Details on Business Overview, Solutions, Services, Organic and Inorganic growth strategies, RIGHT-TO-WIN, Key Insights, Recent Developments, SWOT Analysis, might not be captured in case of unlisted companies.

14 APPENDIX (Page No. - 182)
     14.1 INDUSTRY EXPERTS
     14.2 DISCUSSION GUIDE
     14.3 KNOWLEDGE STORE: MARKETSANDMARKETS� SUBSCRIPTION PORTAL
     14.4 AVAILABLE CUSTOMIZATIONS
     14.5 RELATED REPORTS
     14.6 AUTHOR DETAILS

LIST OF TABLES (102 Tables)

TABLE 1 UNITED STATES DOLLAR EXCHANGE RATE, 2015�2018
TABLE 2 FACTOR ANALYSIS
TABLE 3 GLOBAL MARKET SIZE AND GROWTH RATE, 2017�2024 (USD MILLION, Y-O-Y %)
TABLE 4 DATA SCIENCE PLATFORM MARKET SIZE, BY COMPONENT, 2017�2024 (USD MILLION)
TABLE 5 PLATFORM: MARKET SIZE BY REGION, 2017�2024 (USD MILLION)
TABLE 6 SERVICES: MARKET SIZE BY TYPE, 2017�2024 (USD MILLION)
TABLE 7 SERVICES: MARKET SIZE BY REGION, 2017�2024 (USD MILLION)
TABLE 8 MANAGED SERVICES MARKET SIZE, BY REGION, 2017�2024 (USD MILLION)
TABLE 9 PROFESSIONAL SERVICES: MARKET SIZE, BY REGION, 2017�2024 (USD MILLION)
TABLE 10 TRAINING AND CONSULTING MARKET SIZE, BY REGION, 2017�2024 (USD MILLION)
TABLE 11 INTEGRATION AND DEPLOYMENT MARKET SIZE, BY REGION, 2017�2024 (USD MILLION)
TABLE 12 SUPPORT AND MAINTENANCE MARKET SIZE, BY REGION, 2017�2024 (USD MILLION)
TABLE 13 DATA SCIENCE PLATFORM MARKET SIZE, BY DEPLOYMENT MODE, 2017�2024 (USD MILLION)
TABLE 14 ON-PREMISES: MARKET SIZE BY REGION, 2017�2024 (USD MILLION)
TABLE 15 CLOUD: MARKET SIZE BY REGION, 2017�2024 (USD MILLION)
TABLE 16 DATA SCIENCE PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2017�2024 (USD MILLION)
TABLE 17 LARGE ENTERPRISES: MARKET SIZE, BY REGION, 2017�2024 (USD MILLION)
TABLE 18 SMALL AND MEDIUM-SIZED ENTERPRISES: MARKET SIZE, BY REGION, 2017�2024 (USD MILLION)
TABLE 19 MARKET SIZE BY BUSINESS FUNCTION, 2017�2024 (USD MILLION)
TABLE 20 MARKETING: MARKET SIZE BY REGION, 2017�2024 (USD MILLION)
TABLE 21 DATA SCIENCE PLATFORM MARKET SIZE, BY REGION, 2017�2024 (USD MILLION)
TABLE 22 LOGISTICS: MARKET SIZE BY REGION, 2017�2024 (USD MILLION)
TABLE 23 FINANCE AND ACCOUNTING: MARKET SIZE BY REGION, 2017�2024 (USD MILLION)
TABLE 24 CUSTOMER SUPPORT: MARKET SIZE BY REGION, 2017�2024 (USD MILLION)
TABLE 25 OTHERS: MARKET SIZE BY REGION, 2017�2024 (USD MILLION)
TABLE 26 DATA SCIENCE PLATFORM MARKET SIZE, BY INDUSTRY VERTICAL, 2017�2024 (USD MILLION)
TABLE 27 BANKING, FINANCIAL SERVICES, AND INSURANCE: MARKET SIZE BY REGION, 2017�2024 (USD MILLION)
TABLE 28 TELECOM AND IT: MARKET SIZE, BY REGION, 2017�2024 (USD MILLION)
TABLE 29 RETAIL AND ECOMMERCE: MARKET SIZE BY REGION, 2017�2024 (USD MILLION)
TABLE 30 HEALTHCARE AND LIFE SCIENCES: DATA SCIENCE PLATFORM MARKET SIZE, BY REGION, 2017�2024 (USD MILLION)
TABLE 31 MANUFACTURING: MARKET SIZE, BY REGION, 2017�2024 (USD MILLION)
TABLE 32 ENERGY AND UTILITIES: MARKET SIZE, BY REGION, 2017�2024 (USD MILLION)
TABLE 33 MEDIA AND ENTERTAINMENT: MARKET SIZE, BY REGION, 2017�2024 (USD MILLION)
TABLE 34 TRANSPORTATION AND LOGISTICS: MARKET SIZE, BY REGION, 2017�2024 (USD MILLION)
TABLE 35 GOVERNMENT AND DEFENSE: MARKET SIZE, BY REGION, 2017�2024 (USD MILLION)
TABLE 36 OTHERS: MARKET SIZE, BY REGION, 2017�2024 (USD MILLION)
TABLE 37 DATA SCIENCE PLATFORM MARKET SIZE, BY REGION, 2017�2024 (USD MILLION)
TABLE 38 NORTH AMERICA: MARKET SIZE, BY COMPONENT, 2017�2024 (USD MILLION)
TABLE 39 NORTH AMERICA: MARKET SIZE, BY SERVICE, 2017�2024 (USD MILLION)
TABLE 40 NORTH AMERICA: MARKET SIZE, BY PROFESSIONAL SERVICE, 2017�2024 (USD MILLION)
TABLE 41 NORTH AMERICA: MARKET SIZE, BY DEPLOYMENT MODE, 2017�2024 (USD MILLION)
TABLE 42 NORTH AMERICA: MARKET SIZE, BY ORGANIZATION SIZE, 2017�2024 (USD MILLION)
TABLE 43 NORTH AMERICA: MARKET SIZE, BY BUSINESS FUNCTION, 2017�2024 (USD MILLION)
TABLE 44 NORTH AMERICA: MARKET SIZE, BY INDUSTRY VERTICAL, 2017�2024 (USD MILLION)
TABLE 45 NORTH AMERICA: MARKET SIZE, BY COUNTRY, 2017�2024 (USD MILLION)
TABLE 46 UNITED STATES: DATA SCIENCE PLATFORM MARKET SIZE, BY COMPONENT, 2017�2024 (USD MILLION)
TABLE 47 UNITED STATES: MARKET SIZE, BY DEPLOYMENT MODE, 2017�2024 (USD MILLION)
TABLE 48 CANADA: MARKET SIZE, BY COMPONENT, 2017�2024 (USD MILLION)
TABLE 49 CANADA: MARKET SIZE, BY DEPLOYMENT MODE, 2017�2024 (USD MILLION)
TABLE 50 EUROPE: DATA SCIENCE PLATFORM MARKET SIZE, BY COMPONENT, 2017�2024 (USD MILLION)
TABLE 51 EUROPE: MARKET SIZE, BY SERVICE, 2017�2024 (USD MILLION)
TABLE 52 EUROPE: MARKET SIZE, BY PROFESSIONAL SERVICE, 2017�2024 (USD MILLION)
TABLE 53 EUROPE: MARKET SIZE, BY DEPLOYMENT MODE, 2017�2024 (USD MILLION)
TABLE 54 EUROPE: MARKET SIZE, BY ORGANIZATION SIZE, 2017�2024 (USD MILLION)
TABLE 55 EUROPE: MARKET SIZE, BY BUSINESS FUNCTION, 2017�2024 (USD MILLION)
TABLE 56 EUROPE: MARKET SIZE, BY INDUSTRY VERTICAL, 2017�2024 (USD MILLION)
TABLE 57 EUROPE: MARKET SIZE, BY COUNTRY, 2017�2024 (USD MILLION)
TABLE 58 UNITED KINGDOM: DATA SCIENCE PLATFORM MARKET SIZE, BY COMPONENT, 2017�2024 (USD MILLION)
TABLE 59 UNITED KINGDOM: MARKET SIZE, BY DEPLOYMENT MODE, 2017�2024 (USD MILLION)
TABLE 60 GERMANY: MARKET SIZE, BY COMPONENT, 2017�2024 (USD MILLION)
TABLE 61 GERMANY: MARKET SIZE, BY DEPLOYMENT MODE, 2017�2024 (USD MILLION)
TABLE 62 FRANCE: MARKET SIZE, BY COMPONENT, 2017�2024 (USD MILLION)
TABLE 63 FRANCE: MARKET SIZE, BY DEPLOYMENT MODE, 2017�2024 (USD MILLION)
TABLE 64 ASIA PACIFIC: DATA SCIENCE PLATFORM MARKET SIZE, BY COMPONENT, 2017�2024 (USD MILLION)
TABLE 65 ASIA PACIFIC: MARKET SIZE, BY SERVICE, 2017�2024 (USD MILLION)
TABLE 66 ASIA PACIFIC: MARKET SIZE, BY PROFESSIONAL SERVICE, 2017�2024 (USD MILLION)
TABLE 67 ASIA PACIFIC: MARKET SIZE, BY DEPLOYMENT MODE, 2017�2024 (USD MILLION)
TABLE 68 ASIA PACIFIC: MARKET SIZE, BY ORGANIZATION SIZE, 2017�2024 (USD MILLION)
TABLE 69 ASIA PACIFIC: MARKET SIZE, BY BUSINESS FUNCTION, 2017�2024 (USD MILLION)
TABLE 70 ASIA PACIFIC: MARKET SIZE, BY INDUSTRY VERTICAL, 2017�2024 (USD MILLION)
TABLE 71 ASIA PACIFIC: MARKET SIZE, BY COUNTRY, 2017�2024 (USD MILLION)
TABLE 72 CHINA: DATA SCIENCE PLATFORM MARKET SIZE, BY COMPONENT, 2017�2024 (USD MILLION)
TABLE 73 CHINA: MARKET SIZE, BY DEPLOYMENT MODE, 2017�2024 (USD MILLION)
TABLE 74 JAPAN: MARKET SIZE, BY COMPONENT, 2017�2024 (USD MILLION)
TABLE 75 JAPAN: MARKET SIZE, BY DEPLOYMENT MODE, 2017�2024 (USD MILLION)
TABLE 76 INDIA: MARKET SIZE, BY COMPONENT, 2017�2024 (USD MILLION)
TABLE 77 INDIA: MARKET SIZE, BY DEPLOYMENT MODE, 2017�2024 (USD MILLION)
TABLE 78 MIDDLE EAST AND AFRICA: DATA SCIENCE PLATFORM MARKET SIZE, BY COMPONENT, 2017�2024 (USD MILLION)
TABLE 79 MIDDLE EAST AND AFRICA: MARKET SIZE, BY SERVICE, 2017�2024 (USD MILLION)
TABLE 80 MIDDLE EAST AND AFRICA: MARKET SIZE, BY PROFESSIONAL SERVICE, 2017�2024 (USD MILLION)
TABLE 81 MIDDLE EAST AND AFRICA: MARKET SIZE, BY DEPLOYMENT MODE, 2017�2024 (USD MILLION)
TABLE 82 MIDDLE EAST AND AFRICA: MARKET SIZE, BY ORGANIZATION SIZE, 2017�2024 (USD MILLION)
TABLE 83 MIDDLE EAST AND AFRICA: MARKET SIZE, BY BUSINESS FUNCTION, 2017�2024 (USD MILLION)
TABLE 84 MIDDLE EAST AND AFRICA: MARKET SIZE, BY INDUSTRY VERTICAL, 2017�2024 (USD MILLION)
TABLE 85 MIDDLE EAST AND AFRICA: MARKET SIZE, BY COUNTRY, 2017�2024 (USD MILLION)
TABLE 86 MIDDLE EAST: DATA SCIENCE PLATFORM MARKET SIZE, BY COMPONENT, 2017�2024 (USD MILLION)
TABLE 87 MIDDLE EAST: MARKET SIZE, BY DEPLOYMENT MODE, 2017�2024 (USD MILLION)
TABLE 88 SOUTH AFRICA: MARKET SIZE, BY COMPONENT, 2017�2024 (USD MILLION)
TABLE 89 SOUTH AFRICA: MARKET SIZE, BY DEPLOYMENT MODE, 2017�2024 (USD MILLION)
TABLE 90 LATIN AMERICA: MARKET SIZE, BY COMPONENT, 2017�2024 (USD MILLION)
TABLE 91 LATIN AMERICA: MARKET SIZE, BY SERVICE, 2017�2024 (USD MILLION)
TABLE 92 LATIN AMERICA: MARKET SIZE, BY PROFESSIONAL SERVICE, 2017�2024 (USD MILLION)
TABLE 93 LATIN AMERICA: MARKET SIZE, BY DEPLOYMENT MODE, 2017�2024 (USD MILLION)
TABLE 94 LATIN AMERICA: MARKET SIZE, BY ORGANIZATION SIZE, 2017�2024 (USD MILLION)
TABLE 95 LATIN AMERICA: MARKET SIZE, BY BUSINESS FUNCTION, 2017�2024 (USD MILLION)
TABLE 96 LATIN AMERICA: MARKET SIZE, BY INDUSTRY VERTICAL, 2017�2024 (USD MILLION)
TABLE 97 LATIN AMERICA: MARKET SIZE, BY COUNTRY, 2017�2024 (USD MILLION)
TABLE 98 BRAZIL: DATA SCIENCE PLATFORM MARKET SIZE, BY COMPONENT, 2017�2024 (USD MILLION)
TABLE 99 BRAZIL: MARKET SIZE, BY DEPLOYMENT MODE, 2017�2024 (USD MILLION)
TABLE 100 MEXICO: MARKET SIZE, BY COMPONENT, 2017�2024 (USD MILLION)
TABLE 101 MEXICO: MARKET SIZE, BY DEPLOYMENT MODE, 2017�2024 (USD MILLION)
TABLE 102 EVALUATION CRITERIA

LIST OF FIGURES (48 Figures)

FIGURE 1 DATA SCIENCE PLATFORM MARKET: RESEARCH DESIGN
FIGURE 2 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 1(SUPPLY SIDE): REVENUE OF PRODUCTS/SOLUTIONS/SERVICES OF DATA SCIENCE PLATFORM MARKET
FIGURE 3 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 1 BOTTOM-UP (SUPPLY SIDE): COLLECTIVE REVENUE OF ALL PRODUCTS/SOLUTIONS/SERVICES OF DATA SCIENCE PLATFORM MARKET
FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 2 BOTTOM-UP (DEMAND SIDE): PRODUCTS/SOLUTIONS/SERVICES SOLD AND THEIR AVERAGE SELLING PRICE
FIGURE 5 DATA SCIENCE PLATFORM MARKET, BY COMPONENT
FIGURE 6 MARKET BY SERVICE
FIGURE 7 MARKET BY PROFESSIONAL SERVICE
FIGURE 8 MARKET BY DEPLOYMENT MODE
FIGURE 9 MARKET BY ORGANIZATION SIZE
FIGURE 10 MARKET BY BUSINESS FUNCTION
FIGURE 11 MARKET BY INDUSTRY VERTICAL
FIGURE 12 MARKET BY REGION
FIGURE 13 RISE IN ADOPTION OF ADVANCED TECHNOLOGIES, SUCH AS AI AND ANALYTICS, AND HIGHER INCLINATION OF ENTERPRISES TOWARD DATA-INTENSIVE BUSINESS STRATEGIES DRIVING THE OVERALL GROWTH OF THE DATA SCIENCE PLATFORM MARKET
FIGURE 14 MARKETING SEGMENT TO HOLD THE LARGEST MARKET SIZE DURING THE FORECAST PERIOD
FIGURE 15 NORTH AMERICA TO HOLD THE HIGHEST MARKET SHARE IN 2019
FIGURE 16 MARKETING SEGMENT AND BANKING, FINANCIAL SERVICES, AND INSURANCE INDUSTRY VERTICAL ACCOUNTED FOR THE HIGHEST SHARES IN THE MARKET IN 2019
FIGURE 17 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
FIGURE 18 VALUE CHAIN ANALYSIS: DATA SCIENCE PLATFORM MARKET
FIGURE 19 SERVICES SEGMENT TO REGISTER A HIGHER CAGR DURING THE FORECAST PERIOD
FIGURE 20 MANAGED SERVICES SEGMENT TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
FIGURE 21 SUPPORT AND MAINTENANCE SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
FIGURE 22 CLOUD SEGMENT TO REGISTER A HIGHER CAGR DURING THE FORECAST PERIOD
FIGURE 23 SMALL AND MEDIUM-SIZED ENTERPRISES SEGMENT TO REGISTER A HIGHER CAGR DURING THE FORECAST PERIOD
FIGURE 24 LOGISTICS SEGMENT TO REGISTER THE HIGHEST CAGR DURING THE FORECAST PERIOD
FIGURE 25 BANKING, FINANCIAL SERVICES, AND INSURANCE INDUSTRY VERTICAL TO HOLD THE LARGEST MARKET SIZE DURING THE FORECAST PERIOD
FIGURE 26 NORTH AMERICA TO ACCOUNT FOR THE LARGEST MARKET SIZE DURING THE FORECAST PERIOD
FIGURE 27 INDIA TO REGISTER THE HIGHEST CAGR DURING THE FORECAST PERIOD
FIGURE 28 ASIA PACIFIC TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
FIGURE 29 NORTH AMERICA: MARKET SNAPSHOT
FIGURE 30 LOGISTICS SEGMENT TO REGISTER THE HIGHEST CAGR DURING THE FORECAST PERIOD
FIGURE 31 LOGISTICS SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
FIGURE 32 ASIA PACIFIC: MARKET SNAPSHOT
FIGURE 33 LOGISTICS SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
FIGURE 34 LOGISTICS TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
FIGURE 35 LOGISTICS SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
FIGURE 36 DATA SCIENCE PLATFORM MARKET (GLOBAL), COMPETITIVE LEADERSHIP MAPPING, 2019
FIGURE 37 MICROSOFT: COMPANY SNAPSHOT
FIGURE 38 MICROSOFT: SWOT ANALYSIS
FIGURE 39 IBM: COMPANY SNAPSHOT
FIGURE 40 IBM: SWOT ANALYSIS
FIGURE 41 GOOGLE: COMPANY SNAPSHOT
FIGURE 42 GOOGLE: SWOT ANALYSIS
FIGURE 43 SAS INSTITUTE: COMPANY SNAPSHOT
FIGURE 44 SAS INSTITUTE: SWOT ANALYSIS
FIGURE 45 ALTAIR: COMPANY SNAPSHOT
FIGURE 46 ALTAIR: SWOT ANALYSIS
FIGURE 47 CLOUDERA: COMPANY SNAPSHOT
FIGURE 48 ALTERYX: COMPANY SNAPSHOT

The study involved four major activities in estimating the current market size of the data science platform market. Exhaustive secondary research was done to collect information on the market, peer market, and parent market. The next step was to validate the findings, assumptions, and sizing with the industry experts across the value chain through primary research. Both top-down and bottom-up approaches were employed to estimate the total market size. After that, market breakup and data triangulation procedures were used to estimate the market size of segments and subsegments.

Secondary Research

In the secondary research process, various secondary sources such as D&B Hoovers, Bloomberg, and BusinessWeek have been referred to, for identifying and collecting information for the study. The secondary sources included annual reports, press releases, and investor presentations of companies; white papers; journals; and certified publications and articles from recognized authors, directories, and databases.

Primary Research

Various primary sources from both the supply and demand sides of the market ecosystem were interviewed to obtain qualitative and quantitative information for the study. The primary sources from the supply side included industry experts, such as Chief Executive Officers (CEOs), Chief Technology Officers (CTOs), Chief Operating Officers (COOs), Vice Presidents (VPs), Managing Directors (MDs), technology and innovation directors, related key executives from various key companies and organizations operating in the data science platform market, associated service providers, and system integrators operating in the targeted regions. All possible parameters that affect the market covered in the research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. The breakup of primary respondents is as follows:

Data Science Platform Market

Market Size Estimation

For making market estimations and forecasting the data science platform market and other dependent submarkets, top-down and bottom-up approaches were used. The bottom-up procedure was used to arrive at the overall market size of the global market using key companies� revenue and their offerings in the market. The research methodology used to estimate the market size includes the following:

The key players in the market have been identified through extensive secondary research.
The market size, in terms of value, has been determined through primary and secondary research processes.
All percentage shares, splits, and breakups have been determined using secondary sources and verified through primary sources.

Data Triangulation

With data triangulation and validation through primary interviews, the exact value of the overall parent market size was determined and confirmed using the study. The overall market size was then used in the top-down procedure to estimate the size of other individual markets through percentage splits of the market segmentation.

Report Objectives

To describe and forecast the global data science platform market by component (platform and services), business function, deployment mode, organization size, industry vertical, and region
To forecast the market size of five main regions: North America, Europe, Asia Pacific (APAC), Middle East and Africa (MEA), and Latin America
To analyze the subsegments of the market with respect to individual growth trends, prospects, and contributions to the overall market
To provide detailed information regarding major factors (drivers, restraints, opportunities, and challenges) influencing the growth of the market
To analyze the opportunities in the market for stakeholders and provide details of the competitive landscape for the major players
To profile the key players of the market and comprehensively analyze their market shares and core competencies
To track and analyze competitive developments, such as mergers and acquisitions, new product developments, and partnerships and collaborations, in the market

Available Customizations

With the given market data, MarketsandMarkets offers customizations as per the company�s specific needs. The following customization options are available for the report:

Product Analysis

Product matrix provides a detailed comparison of the product portfolio of each company

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Report Code

TC 5003

Published ON

Feb, 2020

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Data Science Platform Market

Data Science Platform Market by Component (Platform and Services), Business Function (Marketing, Sales, Logistics, and Customer Support), Deployment Mode (On-Premises and Cloud), Organization Size, Industry Vertical, and Region - Global Forecast to 2024

Platform segment to hold a larger market size during the forecast period

Services segment to grow at a higher CAGR during the forecast period

APAC is expected to hold the highest CAGR during the forecast period

Key Market Players

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Scope of the Report

Based on components, the data science platform market has the following segments:

Based on industry verticals, the market has the following segments:

Based on deployment modes, the market has the following segments:

Based on business functions, the data science platform market has the following segments:

Based on organization size, the market has the following segments:

Based on regions, the market has the following segments:

Recent Developments:

Key Questions addressed by the report:

Frequently Asked Questions (FAQ):

Secondary Research

Primary Research

Market Size Estimation

Data Triangulation

Report Objectives

Available Customizations

Product Analysis

Company Information

Get in-depth analysis of the COVID-19 impact on the Data Science Platform Market

Growth opportunities and latent adjacency in Data Science Platform Market