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DATA SCIENCE PLATFORM MARKET GROWING TECHNOLOGY OPPORTUNITIES AND FUTURE BUSINESS TRENDS TO 2023

Data science platform incorporates a set of new generation technologies and architecture that are specially designed as a framework of the entire data science project. It consists of tools that are required to execute the life cycle of the data science project, which consists of different phases such as data ideation, integration & exploration; model development, and model deployment. In the present scenario, it has become a critical investment choice that has significantly contributed to the growth of the smart and digital industry.
The report does not consider open source platforms such as R and Python and it only evaluates commercial data science platform vendors. Furthermore, the market is classified based on type into solutions and services. The market is also classified based on end user into banking, financial services, and insurance (BFSI); telecommunication; transportation & logistics; healthcare; manufacturing, and others. The market is analyzed based on four regions-North America, Europe, Asia-Pacific, and LAMEA.
Major Key Players of the Data Science Platform Market are:
Microsoft Corporation, IBM Corporation, SAS Institute, SAP SE, RapidMiner, Dataiku SAS, Alteryx, Inc, Fair Issac Corporation, MathWorks, Inc, and Teradata, Inc.
Adoption of the data science platform in emerging markets, including Brazil, the Gulf Cooperation Council (GCC) countries, and African countries is at a nascent stage, unlike that in developed markets such as North America and Europe. However, the potential impact of enhanced analytics solutions and services on business activities has increased in the region. Furthermore, the relative importance of collection of data in most of the local economies and the need to extract actionable insights from the data are anticipated to fuel the demand for data science platform services and solutions.
Major Types of Data Science Platform covered are:
Solutions
Services
Major Applications of Data Science Platform covered are:BFSI
Telecommunication
Transportation and Logistics
Healthcare
Manufacturing
Others (retail, education, government, energy, and utilities)
Research objectives:-– To study and analyze the global Data Science Platform consumption (value & volume) by key regions/countries, product type and application, history data.
– To understand the structure of the Data Science Platform market by identifying its various sub-segments.
– Focuses on the key global Data Science Platform manufacturers, to define, describe and analyze the sales volume, value, market share, market competitive landscape, SWOT analysis, and development plans in the next few years.
– To analyze the Data Science Platform with respect to individual growth trends, future prospects, and their contribution to the total market.
– To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).
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