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The data science platform market is forecasted to grow by USD 763.9 million during 2024-2029, accelerating at a CAGR of 40.2% during the forecast period. The report on the data science platform market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.Speak directly to the analyst to clarify any post sales queries you may have.
The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by integration of AI and ML technologies with data science platforms, growing importance of data-driven business outcomes in industrial sectors, and movement of big data to cloud.
The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.
The data science platform market is segmented as below:
By Deployment
- On-premises
- Cloud
By Component
- Platform
- Services
By End-user
- BFSI
- Retail and E-commerce
- Manufacturing
- Media and entertainment
- Others
By Sector
- Large enterprises
- SMEs
By Geographical Landscape
- North America
- Europe
- APAC
- South America
- Middle East and Africa
The report on the data science platform market covers the following areas:
- Data Science Platform Market sizing
- Data Science Platform Market forecast
- Data Science Platform Market industry analysis
The report presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.
Table of Contents
1 Executive Summary
2 Market Analysis
3 Market Landscape
4 Market Sizing
5 Historic Market Size
6 Qualitative Analysis
7 Five Forces Analysis
8 Market Segmentation by Deployment
9 Market Segmentation by Component
10 Market Segmentation by End-user
11 Market Segmentation by Sector
12 Customer Landscape
13 Geographic Landscape
14 Drivers, Challenges, and Opportunity/Restraints
15 Competitive Landscape
16 Competitive Analysis
17 Appendix
List of Exhibits
Executive Summary
The following companies are recognized as the key players in the global data science platform market: Altair Engineering Inc., Alteryx Inc., Anaconda Inc., Cloudera Inc., Databricks Inc., Dataiku Inc., DataRobot Inc., Domino Data Lab Inc., Google LLC, International Business Machines Corp., KNIME AG, Meta Platforms Inc., Microsoft Corp., Oracle Corp., PBC, Rexer Analytics, SAS Institute Inc., The MathWorks Inc., and Wolfram.Commenting on the report, an analyst from the research team said: "The latest trend gaining momentum in the market is emergence of containerization and microservices in data science platforms."
According to the report, one of the major drivers for this market is the integration of ai and ml technologies with data science platforms.
The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market and vendor landscape in addition to a SWOT analysis of the key vendors.
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- Altair Engineering Inc.
- Alteryx Inc.
- Anaconda Inc.
- Cloudera Inc.
- Databricks Inc.
- Dataiku Inc.
- DataRobot Inc.
- Domino Data Lab Inc.
- Google LLC
- International Business Machines Corp.
- KNIME AG
- Meta Platforms Inc.
- Microsoft Corp.
- Oracle Corp.
- PBC
- Rexer Analytics
- SAS Institute Inc.
- The MathWorks Inc.
- Wolfram
