The global data science platform market size was US$ 69.07 billion in 2021. The global data science platform market size is forecast to reach US$ 1028.7 billion by 2030, growing at a compound annual growth rate (CAGR) of 35% during the forecast period from 2022 to 2030.
A data science platform is a software hub where all the analytical work and data science work takes place. This data science platform includes all the resources required for the entire life cycle of a data science project, including ideation, model development, installation, discovery, and implementation. A data science application combines data collection, analysis, and the method that helps interpret the results. The data science platform allows data scientists to run, track, replicate, analyze, and share their work more quickly.
Factors Influencing Market Growth
Impact of COVID-19
During COVID-19, cloud computing emerged as an effective model in helping businesses facilitate some of their most significant transformations. Despite the COVID-19 outbreak, many organizations (both SMBs and enterprises) plan to use the cloud more heavily in the future. Many countries were much more encouraging, with key sectors such as education, healthcare, entertainment, and gaming moving to the cloud consistently to ensure business continuity and resilience. There was significant demand for data science platforms. Thus, these factors have positively affected the global data science platform market growth.
Regional Insights
During the forecast period, Asia Pacific is forecast to hold the highest CAGR in the data science platform industry. Cloud, Internet of Things, and edge solutions are generating enormous amounts of data, increasing the demand for advanced data processing technologies. Data processing is driving the demand for a data science platform in the APAC region. Additionally, investment from major tech companies is also likely to drive regional market growth.
Leading Competitors
The leading prominent companies profiled in the global data science platform market are:
Scope of the Report
The global data science platform market segmentation focuses on Components, Industry Verticals, Deployment Modes, Business Functions, Organization Size, and Region.
Segmentation based on Components
Segmentation based on Industry Verticals
Segmentation based on Deployment Modes
Segmentation based on Business Functions
Segmentation based on Organization Size
Segmentation based on Region
Table of Content
1 INTRODUCTION OF GLOBAL DATA SCIENCE PLATFORM MARKET
1.1 OVERVIEW OF THE MARKET
1.2 SCOPE OF REPORT
1.3 ASSUMPTIONS
2 EXECUTIVE SUMMARY
3 RESEARCH METHODOLOGY
3.1 DATA MINING
3.2 VALIDATION
3.3 PRIMARY INTERVIEWS
3.4 LIST OF DATA SOURCES
4 GLOBAL DATA SCIENCE PLATFORM MARKET OUTLOOK
4.1 OVERVIEW
4.2 MARKET DYNAMICS
4.2.1 DRIVERS
4.2.2 RESTRAINTS
4.2.3 OPPORTUNITIES
4.3 PORTERS FIVE FORCE MODEL
4.4 VALUE CHAIN ANALYSIS
5 GLOBAL DATA SCIENCE PLATFORM MARKET, BY COMPONENTS
5.1 OVERVIEW
5.2 PLATFORM
5.3 SERVICES
5.3.1 MANAGED SERVICES
5.3.2 PROFESSIONAL SERVICES
5.4TRAINING AND CONSULTING
5.5INTEGRATION AND DEPLOYMENT
5.6 SUPPORT AND MAINTENANCE
6 GLOBAL DATA SCIENCE PLATFORM MARKET, BY DEPLOYMENT MODE
6.1 OVERVIEW
6.2 CLOUD
6.3 ON-PREMISES
7 GLOBAL DATA SCIENCE PLATFORM MARKET, BY INDUSTRY VERTICAL
7.1 OVERVIEW
7.2 BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI)
7.3 TELECOM AND IT
7.4 RETAIL AND ECOMMERCE
7.5 HEALTHCARE AND LIFE SCIENCES
7.6 MANUFACTURING
7.7 ENERGY AND UTILITIES
7.8 MEDIA AND ENTERTAINMENT
7.9 TRANSPORTATION AND LOGISTICS
7.10 GOVERNMENT
7.11 OTHERS (TRAVEL AND HOSPITALITY, EDUCATION, AND RESEARCH)
8 GLOBAL DATA SCIENCE PLATFORM MARKET, BY BUSINESS FUNCTIONS
8.1 OVERVIEW
8.2 MARKETING
8.3 SALES
8.4 LOGISTICS
8.5 FINANCE AND ACCOUNTING
8.6 CUSTOMER SUPPORT
8.7 OTHERS (OPERATION AND HR)
9 GLOBAL DATA SCIENCE PLATFORM MARKET, BY ORGANIZATION SIZE
9.1 OVERVIEW
9.2 SMALL AND MEDIUM-SIZED ENTERPRISES (SMES)
9.3 LARGE ENTERPRISES
10 MARKET, BY GEOGRAPHY
10.1 OVERVIEW
10.2 NORTH AMERICA
10.2.1 NORTH AMERICA MARKET SNAPSHOT
10.2.2 U.S.
10.2.3 CANADA
10.2.4 MEXICO
10.3 EUROPE
10.3.1 EUROPE MARKET SNAPSHOT
10.3.2 WESTERN EUROPE
10.3.2.1THE UK
10.3.2.2GERMANY
10.3.2.3FRANCE
10.3.2.4ITALY
10.3.2.5SPAIN
10.3.2.6REST OF WESTERN EUROPE
10.3.3EASTERN EUROPE
10.3.3.1POLAND
10.3.3.2RUSSIA
10.3.3.3REST OF EASTERN EUROPE
10.4 ASIA PACIFIC
10.4.1 ASIA PACIFIC MARKET SNAPSHOT
10.4.2 CHINA
10.4.3 JAPAN
10.4.4 INDIA
10.4.5 AUSTRALIA & NEW ZEALAND
10.4.6 ASEAN
10.4.7 REST OF ASIA PACIFIC
10.5 MIDDLE EAST & AFRICA
10.5.1 MIDDLE EAST & AFRICA MARKET SNAPSHOT
10.5.2 UAE
10.5.3 SAUDI ARABIA
10.5.4 SOUTH AFRICA
10.5.5 REST OF MEA
10.6 SOUTH AMERICA
10.6.1 SOUTH AMERICA MARKET SNAPSHOT
10.6.2 BRAZIL
10.6.3 ARGENTINA
10.6.4 REST OF SOUTH AMERICA
11 GLOBAL DATA SCIENCE PLATFORM MARKET COMPETITIVE LANDSCAPE
11.1 OVERVIEW
11.2 COMPANY MARKET RANKING
11.3 KEY DEVELOPMENT STRATEGIES
12 COMPANY PROFILES
12.1 IBM CORPORATION
12.1.1 OVERVIEW
12.1.2 FINANCIAL PERFORMANCE
12.1.3 PRODUCT OUTLOOK
12.1.4 KEY DEVELOPMENTS
12.2 MICROSOFT CORPORATION
12.2.1 OVERVIEW
12.2.2 FINANCIAL PERFORMANCE
12.2.3 PRODUCT OUTLOOK
12.2.4 KEY DEVELOPMENTS
12.3 ALPHABET INCORPORATED (GOOGLE)
12.3.1 OVERVIEW
12.3.2 FINANCIAL PERFORMANCE
12.3.3 PRODUCT OUTLOOK
12.3.4 KEY DEVELOPMENTS
12.4 ALTAIR ENGINEERING, INCORPORATED
12.4.1 OVERVIEW
12.4.2 FINANCIAL PERFORMANCE
12.4.3 PRODUCT OUTLOOK
12.4.4 KEY DEVELOPMENTS
12.5 ALTERYX, INCORPORATED
12.5.1 OVERVIEW
12.5.2 FINANCIAL PERFORMANCE
12.5.3 PRODUCT OUTLOOK
12.5.4 KEY DEVELOPMENTS
12.6 MATHWORKS
12.6.1 OVERVIEW
12.6.2 FINANCIAL PERFORMANCE
12.6.3 PRODUCT OUTLOOK
12.6.4 KEY DEVELOPMENTS
12.7 SAS INSTITUTE INCORPORATED
12.7.1 OVERVIEW
12.7.2 FINANCIAL PERFORMANCE
12.7.3 PRODUCT OUTLOOK
12.7.4 KEY DEVELOPMENTS
12.8 RAPIDMINER, INCORPORATED
12.8.1 OVERVIEW
12.8.2 FINANCIAL PERFORMANCE
12.8.3 PRODUCT OUTLOOK
12.8.4 KEY DEVELOPMENTS
12.9 CLOUDERA, INCORPORATED
12.9.1 OVERVIEW
12.9.2 FINANCIAL PERFORMANCE
12.9.3 PRODUCT OUTLOOK
12.9.4 KEY DEVELOPMENTS
12.10 ANACONDA, INCORPORATED
12.10.1 OVERVIEW
12.10.2 FINANCIAL PERFORMANCE
12.10.3 PRODUCT OUTLOOK
12.10.4 KEY DEVELOPMENTS
12.11 WOLFRAM
12.11.1 OVERVIEW
12.11.2 FINANCIAL PERFORMANCE
12.11.3 PRODUCT OUTLOOK
12.11.4 KEY DEVELOPMENTS
12.12 DATAIKU
12.12.1 OVERVIEW
12.12.2 FINANCIAL PERFORMANCE
12.12.3 PRODUCT OUTLOOK
12.12.4 KEY DEVELOPMENTS
12.13 CIVIS ANALYTICS
12.13.1 OVERVIEW
12.13.2 FINANCIAL PERFORMANCE
12.13.3 PRODUCT OUTLOOK
12.13.4 KEY DEVELOPMENTS
12.14 H2O.AI.
12.14.1 OVERVIEW
12.14.2 FINANCIAL PERFORMANCE
12.14.3 PRODUCT OUTLOOK
12.14.4 KEY DEVELOPMENTS
12.15 DOMINO DATA LAB, INCORPORATED
12.15.1 OVERVIEW
12.15.2 FINANCIAL PERFORMANCE
12.15.3 PRODUCT OUTLOOK
12.15.4 KEY DEVELOPMENTS
12.16 RSTUDIO, INCORPORATED
12.16.1 OVERVIEW
12.16.2 FINANCIAL PERFORMANCE
12.16.3 PRODUCT OUTLOOK
12.16.4 KEY DEVELOPMENTS
12.17 RAPID INSIGHT
12.17.1 OVERVIEW
12.17.2 FINANCIAL PERFORMANCE
12.17.3 PRODUCT OUTLOOK
12.17.4 KEY DEVELOPMENTS
12.18 DATAROBOT, INCORPORATED
12.18.1 OVERVIEW
12.18.2 FINANCIAL PERFORMANCE
12.18.3 PRODUCT OUTLOOK
12.18.4 KEY DEVELOPMENTS
12.19 REXER ANALYTICS
12.19.1 OVERVIEW
12.19.2 FINANCIAL PERFORMANCE
12.19.3 PRODUCT OUTLOOK
12.19.4 KEY DEVELOPMENTS
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