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Increasingly, companies are focusing on the use of ease-of-use methods to drive business development, and the need to gain insights from large amounts of data to gain a competitive advantage is growing. Companies are increasingly leaning towards data-intensive business strategies, and more and more are adopting advanced technologies to create many opportunities for vendors of data science platforms. Data science platform services help users build, evaluate, and utilize a data science platform environment to avoid wasting time and effort for implementation failures. The growth of the professional services sector was mainly constrained by increased operational complexity and increased deployment of business intelligence (BI) platforms. All customer pre- and post-deployment issues and needs are addressed through the hosted services department. Compared to internal analysis, hosted services ensure faster response.
This report contains market size and forecasts of Data Science Platform Services in Global, including the following market information:
Global Data Science Platform Services Market Revenue, 2017-2022, 2023-2028, ($ millions)
Global top five companies in 2021 (%)
The global Data Science Platform Services market was valued at million in 2021 and is projected to reach US$ million by 2028, at a CAGR of % during the forecast period.
The U.S. Market is Estimated at $ Million in 2021, While China is Forecast to Reach $ Million by 2028.
Cloud Based Segment to Reach $ Million by 2028, with a % CAGR in next six years.
The global key manufacturers of Data Science Platform Services include IBM Corporation, Microsoft Corporation, Alphabet, Altair Engineering, Alteryx, MathWorks, SAS Institute and RapidMiner, etc. In 2021, the global top five players have a share approximately % in terms of revenue.
We surveyed the Data Science Platform Services companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global Data Science Platform Services Market, by Type, 2017-2022, 2023-2028 ($ millions)
Global Data Science Platform Services Market Segment Percentages, by Type, 2021 (%)

• Cloud Based
• On-premises

Global Data Science Platform Services Market, by Application, 2017-2022, 2023-2028 ($ millions)
Global Data Science Platform Services Market Segment Percentages, by Application, 2021 (%)

• Marketing
• Sales
• Logistics
• Finance and Accounting
• Customer Support
• Others

Global Data Science Platform Services Market, By Region and Country, 2017-2022, 2023-2028 ($ Millions)
Global Data Science Platform Services Market Segment Percentages, By Region and Country, 2021 (%)

• North America
• US
• Canada
• Mexico
• Europe
• Germany
• France
• U.K.
• Italy
• Russia
• Nordic Countries
• Benelux
• Rest of Europe
• Asia
• China
• Japan
• South Korea
• Southeast Asia
• India
• Rest of Asia
• South America
• Brazil
• Argentina
• Rest of South America
• Middle East & Africa
• Turkey
• Israel
• Saudi Arabia
• UAE
• Rest of Middle East & Africa

Competitor Analysis
The report also provides analysis of leading market participants including:

• Key companies Data Science Platform Services revenues in global market, 2017-2022 (estimated), ($ millions)
• Key companies Data Science Platform Services revenues share in global market, 2021 (%)

Further, the report presents profiles of competitors in the market, key players include:

• IBM Corporation
• Microsoft Corporation
• Alphabet
• Altair Engineering
• Alteryx
• MathWorks
• SAS Institute
• RapidMiner