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The global Data Science Platform market was valued at US$ 29250 million in 2022 and is projected to reach US$ 103640 million by 2029, at a CAGR of 19.8% during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
The USA market for Global Data Science Platform market is estimated to increase from USD million in 2022 to reach USD million by 2030, at a CAGR during the forecast period of 2023 through 2030.
The China market for Global Data Science Platform market is estimated to increase from USD million in 2022 to reach USD million by 2030, at a CAGR during the forecast period of 2023 through 2030.
The Europe market for Global Data Science Platform market is estimated to increase from USD million in 2022 to reach USD million by 2030, at a CAGR during the forecast period of 2023 through 2030.
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).
This report aims to provide a comprehensive presentation of the global market for Data Science Platform, 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.
This report contains market size and forecasts of Data Science Platform in global, including the following market information:
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.
We surveyed the Data Science Platform 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 Market, by Type, 2018-2023, 2024-2030 ($ millions)
Global Data Science Platform Market Segment Percentages, by Type, 2022 (%)
Global Data Science Platform Market, by Application, 2018-2023, 2024-2030 ($ millions)
Global Data Science Platform Market Segment Percentages, by Application, 2022 (%)
Global Data Science Platform Market, By Region and Country, 2018-2023, 2024-2030 ($ Millions)
Global Data Science Platform Market Segment Percentages, By Region and Country, 2022 (%)
Competitor Analysis
The report also provides analysis of leading market participants including:
Further, the report presents profiles of competitors in the market, key players include:
Outline of Major Chapters:
Chapter 1: Introduces the definition of Data Science Platform, market overview.
Chapter 2: Global Data Science Platform market size in revenue.
Chapter 3: Detailed analysis of Data Science Platform 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 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.