The report presents an in-depth assessment of the Data Science Platform Services Market including enabling technologies, key trends, market drivers, challenges, standardization, regulatory landscape, deployment models, operator case studies, opportunities, future roadmap, value chain, ecosystem player profiles and strategies. The report also presents forecasts for Data Science Platform Services from 2021 till 2026. The report covers the pre COVID-19 historic data, impact of COVID-19 and post-COVID-19 (Corona Virus) impact on various regions and major countries and on the future development of the industry is pointed out.
The data science platform market size is expected to grow from USD 37.9 billion in 2019 to USD 140.9 billion by 2024, at a Compound Annual Growth Rate (CAGR) of 30.0% during the forecast period.
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The report presents the market competitive landscape and a corresponding detailed analysis of the major vendor/key players in the market. Top Companies in the Global Data Science Platform Services Market: Microsoft Corporation, Altair Engineering, Alteryx, Alphabet, SAS Institute, IBM Corporation, MathWorks, RapidMiner and others.
In July 2019, Microsoft released Microsoft Machine Learning Server 9.4. This platform provides Python function libraries, and R for ML and data science. It also contains updates for R and Python engines with additional Spark 2.4 and CDH 6.1 support.
In August 2019, IBM announced IBM Data Science and Business Analytics Platform V1.3. The platform includes IBM Decision Optimization for private cloud, IBM SPSS Modeler, and IBM Planning Analytics Advanced that was previously called IBM Performance Management Advanced. The new platform would help data scientists and analysts in understanding, analyzing, and visualizing information.
In April 2019, Google launched an AI platform. This platform will make the development of ML projects easier. It has an integrated toolchain that would assist in building and running ML applications. With this launch, Google’s AI technologies such as TensorFlow Extended (TFX), TensorFlow, and Tensor Processing Units (TPUs) would be easily accessible.
Global Data Science Platform Services Market Split by Product Type and Applications:
This report segments the global Data Science Platform Services market on the basis of Types are:
On the basis of Application, the Global Data Science Platform Services market is segmented into:
Finance and Accounting
Regional Analysis For Data Science Platform Services Market:
North America (The United States, Canada, and Mexico)
Europe (Germany, France, UK, Russia, and Italy)
Asia-Pacific (China, Japan, Korea, India, and Southeast Asia)
South America (Brazil, Argentina, Colombia, etc.)
The Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, and South Africa)
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Influence of the Data Science Platform Services Market Report:
-Comprehensive assessment of all opportunities and risks in the Data Science Platform Services market.
-The detailed study of business strategies for the growth of the Data Science Platform Services market-leading players.
-Conclusive study about the growth plot of the Data Science Platform Services market for forthcoming years.
-In-depth understanding of Data Science Platform Services market-particular drivers, constraints, and major micro markets.
-Favorable impression inside vital technological and market latest trends striking the Data Science Platform Services market.
What are the market factors that are explained in the report?
-Key Strategic Developments: The study also includes the key strategic developments of the market, comprising R&D, new product launch, M&A, agreements, collaborations, partnerships, joint ventures, and regional growth of the leading competitors operating in the market on a global and regional scale.
-Key Market Features: The report evaluated key market features, including revenue, price, capacity, capacity utilization rate, gross, production, production rate, consumption, import/export, supply/demand, cost, market share, CAGR, and gross margin. In addition, the study offers a comprehensive study of the key market dynamics and their latest trends, along with pertinent market segments and sub-segments.
-Analytical Tools: The Global Data Science Platform Services Market report includes the accurately studied and assessed data of the key industry players and their scope in the market by means of a number of analytical tools. The analytical tools such as Porter’s five forces analysis, SWOT analysis, feasibility study, and investment return analysis have been used to analyze the growth of the key players operating in the market.
Customization of the Report: This report can be customized as per your needs for additional data up to 3 companies or countries or 40 analyst hours.
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