Report overview
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 aims to provide a comprehensive presentation of the global market for Data Science Platform Services, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Data Science Platform Services. 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, 2018-2023, 2024-2035, ($ millions)
Global top five companies in 2022 (%)
The global Data Science Platform Services market was valued at US$ million in 2022 and is projected to reach US$ million by 2035, at a CAGR of % during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
The U.S. Market is Estimated at $ Million in 2022, While China is to reach $ Million.
Cloud Based Segment to Reach $ Million by 2035, 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 2022, 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, 2018-2023, 2024-2035 ($ millions)
Global Data Science Platform Services Market Segment Percentages, by Type, 2022 (%)
Cloud Based
On-premises
Global Data Science Platform Services Market, by Application, 2018-2023, 2024-2035 ($ millions)
Global Data Science Platform Services Market Segment Percentages, by Application, 2022 (%)
Marketing
Sales
Logistics
Finance and Accounting
Customer Support
Others
Global Data Science Platform Services Market, By Region and Country, 2018-2023, 2024-2035 ($ Millions)
Global Data Science Platform Services Market Segment Percentages, By Region and Country, 2022 (%)
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, 2018-2023 (estimated), ($ millions)
Key companies Data Science Platform Services revenues share in global market, 2022 (%)
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
Outline of Major Chapters:
Chapter 1: Introduces the definition of Data Science Platform Services, market overview.
Chapter 2: Global Data Science Platform Services market size in revenue.
Chapter 3: Detailed analysis of Data Science Platform Services company competitive landscape, revenue and market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: Sales of Data Science Platform Services in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space of each country in the world.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 8: The main points and conclusions of the report.
