Press release
Data Science Platform Market Size, Share and Forecast 2022-2028 Key Players are - Wolfram, Datarobot, Cloudera, Rapidminer, Domino Data Lab, Dataiku, Alteryx, Continuum Analytics, Bridgei2i Analytics
Data Science Platform Market Size
Data Science Platform market size is projected to reach US$ 106990 million by 2027, from US$ 28430 million in 2020, at a CAGR of 20.7% during 2021-2027.
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.
The analysis of several elements that promote the growth of the Data Science Platform marketplaces has been added into the research report. It consists of patterns, barriers, and forces that alter the market either favorably or unfavorably. The scope of various market segments and applications that may in the future have an impact on the market is also included in this section. The market research report provides information on the background and prospects of the industry. The report provides information on market drivers, constraints, and opportunities in addition to a market size analysis.
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Key Players Covered in Data Science Platform market report are:
Microsoft
IBM
Wolfram
Datarobot
Cloudera
Rapidminer
Domino Data Lab
Dataiku
Alteryx
Continuum Analytics
Bridgei2i Analytics
Datarpm
Rexer Analytics
Feature Labs.
The market research report looks at the major tactics employed by leading market participants to expand their businesses in the global market while retaining a competitive edge over their rivals. The Data Science Platform market study also shows the competitive environment of the main industry rivals and the percentage market share of the leading companies.
Market Segmentation Analysis
The market research report effectively divides the market based on several types, applications, industry verticals, and geographic areas to give an acute valuation and taxonomy of the Data Science Platform industry. All of the segments and sub-segments were assessed using a bottom-up methodology by analyzing historical and expected patterns, and various market sizes have been predicted for the forecast period.
Data Science Platform Market Segmentation as Follows:
Segment by Type
On-Premises
On-Demand
Segment by Application
Marketing
Sales
Logistics
Risk
Customer Support
Human Resources
Operations
Segmentation by Region/Country
North America
Europe
China
Japan
Asia Other
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COVID-19 Pandemic Impact Analysis
The effect of COVID-19 on the market is examined in this Data Science Platform market study at both the global and national levels. This analysis shows that both the supply and demand sides of the market were significantly impacted by the COVID-19 pandemic and the post-pandemic period.
Regional Outlook
The Data Science Platform market report's in-depth analysis of the restraints illustrates how they differ from drivers and leaves potential for tactical planning. The factors that hinder market expansion are crucial because they can be recognized to create new strategies for seizing the profitable chances that are available in the constantly expanding industry. The precise facts in the research will assist market participants in making defensible choices on regional investments and growth.
Competitive Analysis
The information in this area will help readers comprehend the main tactics adopted by top market players to dominate the worldwide Data Science Platform industry. The study report looks at the potential effects of microeconomic market variables and conducts PORTER, SVOR, and PESTEL analyses. Having analyzed both internal and external factors that are anticipated to have an impact on the company, decision-makers now have a clear picture of the future of the sector.
Key Questions Answered in the Data Science Platform Market Report
- This report is continually updated to reflect new technology integration, features, and market shifts.
- This research aids stakeholders in comprehending the impact of COVID-19 and the Russia-Ukraine War on the sector.
- This report aids market participants in recognizing some of the major companies and comprehending their significant contributions.
Conclusion
The projections and estimates in the Data Science Platform market research study look at how various political, social, and economic aspects, as well as the state of the market, affect market growth. The reader will be helped by all of this crucial knowledge in comprehending the market.
Table of Content - Analysis of Key Points
Chapter 1. Executive Summary
Chapter 2. Global Market Definition and Scope
Chapter 3. Global Market Dynamics
Chapter 4. Global Data Science Platform Market Industry Analysis
Chapter 5. Data Science Platform Global Market, by Type
Chapter 6. Data Science Platform Global Market, by Application
Chapter 7. Data Science Platform Global Market, Regional Analysis
Chapter 8. Competitive Intelligence
Chapter 9. Key Companies Analysis
Chapter 10. Research Process
Continued…
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