Rising cloud computing and increasing use of big data analytics are factors driving market revenue growth
— Emergen Research
VANCOUVER, BRITISH COLUMBIA, CANADA, June 19, 2023/EINPresswire.com/ — The Latest research study released by Emergen Research on “Data Science Platform Market” with 150+ pages of analysis on business Strategy taken up by key and emerging industry players and delivers know how of the current market development, landscape, technologies, drivers, opportunities, market viewpoint and status. The Data Science Platform report includes an overview of the competitive landscape, geographic segmentation, innovation, and future developments, as well as a collection of tables and data. To learn about the various aspects of the organization, this report uses exploratory approaches like primary and secondary research. It provides a valuable data source that supports challenging business decisions. The research analyst provides a thorough breakdown of the various industry sectors.
The global data science platform market size reached USD 119.00 Billion in 2022 and is expected to register a revenue CAGR of 25.3% during the forecast period, according to the latest analysis by Emergen Research. Advancements in technology and rising demand for data-driven decision-making are key factors expected to drive revenue growth of the market.
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Advancements in technology, such as increasing availability of big data and development of Machine Learning (ML) and Artificial Intelligence (AI) algorithms, are driving revenue growth of the data science platform market. These technologies have made it easier for businesses to collect and analyze large amounts of data, which can be used to make informed decisions and improve operations. Data Science Platform Market, By Component (Platform, Services), By Deployment Mode (On-Premise, Cloud), By Organization Size, By Vertical, By Business Function, By Region Forecast to 2032
Key Players Included in this report are:
Microsoft Corporation, SAS Institute Inc., IBM Corporation, Teradata, Alteryx, Inc., Dataiku, TIBCO Software Inc., Databricks, Cloudera, Inc., and The MathWorks
What can be explored with the Data Science Platform Market Study?
Gain Market Understanding
Identify Growth Opportunities
Analyze and Measure the Global Data Science Platform Market by Identifying Investment across various Industry Verticals
Understand the Trends that will drive Future Changes in Data Science Platform Market
Understand the Competitive Scenarios
Track Right Markets
Identify the Right Verticals
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Market Segmentation Analysis
Players can concentrate on high-growth regions and, if necessary, modify their business plan according to the research report. The Data Science Platform Market is divided into a variety of categories, uses, and geographical areas. Players gain from the report’s regional segmentation research since it offers pertinent data and insights into important geographic marketplaces.
Component Outlook (Revenue, USD Billion; 2019-2032)
Platform
Services
Professional Services
Managed Services
Consulting
Support and maintenance
Deployment and Integration
Deployment Mode Outlook (Revenue, USD Billion; 2019-2032)
On-Premises
Cloud
COVID-19 Impact Analysis
The post-COVID-19 phase has undergone substantial change, and Data Science Platform Market research highlights the opportunities and difficulties that still exist. This study report thoroughly examines the effects of the COVID-19 pandemic on the global economy and post-pandemic market behaviour.
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Some Key Highlights From the Report
The services segment is expected to account for significantly large revenue share over the forecast period. Demand for data science platform services has been rising in recent years as many organizations are recognizing the value of data-driven decision-making. These services help businesses process and analyze large amounts of data, identify patterns and insights, and make data-driven decisions.
The on-premises segment accounted for largest revenue share in 2022. An on-premises deployment allows organizations to tailor their data science platform to their specific needs and requirements. This can include customizing the platform to integrate with other systems, or building custom algorithms and models.
The large enterprises segment revenue is expected to register significantly rapid revenue CAGR over the forecast period. Demand for data science platforms in large enterprises continues to rise as these organizations look to leverage data to drive business decisions and gain a competitive edge. These platforms provide a way for data scientists and other analysts to easily access, process, and analyze large volume of data. They also facilitate collaboration and knowledge sharing within an organization.
Regional Outlook
We carefully examined each division, regional classification, national study, and subject-specific data set during the market research. This Data Science Platform Market research report’s goal is to look at growth patterns, promising futures, important obstacles, and expected results. Information on significant market participants, strategic alliances, plans, new product launches, and joint ventures are all included in the research.
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