30% Growth Rate for Data Science Platform Market by 2024 | Top Technologies, Overview, Key Insights and Company Profiles

According to Market Study Report, Data Science Platform Market provides a comprehensive analysis of the Data Science Platform Market segments, including their dynamics, size, growth, regulatory requirements, technological trends, competitive landscape, and emerging opportunities of global industry. This report also provides market landscape and market share information in the Data Science Platform Market.

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The Global Data Science Platform Market to grow from US$ 37.9 Billion in 2019 to US$ 140.9 Billion by 2024, at a Compound Annual Growth Rate (CAGR) of 30% during the forecast period. This report spread across 189 Pages, Profiling 21 Companies and Supported with 102 Tables and 48 figures is now available in this research.

Top Key Players Profiled in the Data Science Platform Market:
o IBM Corporation (US)
o Microsoft Corporation (US)
o Alphabet Inc. (Google) (US)
o Altair Engineering Inc. (US)
o Alteryx Inc. (US)
o MathWorks (Australia)
o SAS Institute Inc. (US)
o RapidMiner Inc. (US)
o Cloudera Inc. (US)
o Anaconda Inc. (US)
o Wolfram (US)
o Dataiku (US)
o Civis Analytics (US)
o H2O.ai. (US)
o Domino Data Lab Inc. (US)
o RStudio Inc. (US)
o Rapid Insight (US)
o DataRobot Inc. (US)
o Rexer Analytics (US)
o SAP (Germany)
o Databricks (US)

"Logistics industry vertical to grow at the highest CAGR during the forecast period"
Based on business functions, the data science platform market is divided into Banking, Financial Services, and Insurance (BFSI), telecom and IT, retail and eCommerce, healthcare and life sciences, manufacturing, energy and utilities, media and entertainment,transportation and logistics, government, and others (travel and hospitality, education, and research). The logistics industry vertical would benefit from the technological and methodological advancements of big data. It is changing drastically due to internal and external pressures from the rising costs.

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"Cloud segment to hold a higher market share during the forecast period"
Organizations have been gradually recognizing the importance of data science platform and have started deploying it as per their needs in various business functions, such as supply chain, customer support, and sales and marketing. The cloud-based data science platform is a cost-effective and efficient way of managing data science platform issues across organizations.

"AsiaPacific to grow at the highest CAGR during the forecast period"
The growth in APAC can be attributed to the focus of countries such as China, India, and Japan on the enhanced management of data to enable data-based business decisions and enhance business processes. The commercialization of big data, AI, and IoT technologies and the need for further advancements to leverage these technologies to the best are expected to drive the adoption of data science platform and services in the region.

Competitive Landscape of Data Science Platform Market:
1 Overview
2 Competitive Leadership Mapping
2.1 Visionary Leaders
2.2 Innovators
2.3 Dynamic Differentiators
2.4 Emerging Companies

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Reason to access this report:
The report would help the market leaders/new entrants in the market with the information on the closest approximations of the revenue numbers for the overall data science platform market and its sub segments. It would help stakeholders understand the competitive landscape and gain insights to better position their businesses and plan suitable go-to-market strategies.

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