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Data Science Platform Market Expected to Reach USD 79.7 Billion by 2030| Top Key players such as - Dataiku, Alteryxc and Teradata

Data Science Platform Market Expected to Reach USD 79.7 Billion by 2030| Top Key players such as - Dataiku, Alteryxc and Teradata

 

 
According to the report published by Allied Market Research, The Data Science Platform Market Expected to Reach USD 79.7 Billion by 2030| Top Key players such as - Dataiku, Alteryxc and Teradata. These players have adopted different strategies such as new product launches, collaborations, expansion, joint ventures, agreements, and others to increase their market share and maintain dominant shares in different regions.

Advancements in big data technology, emphasis on collecting & using data for decision making, and a surge in reliance on machine learning drive the growth of the global data science platform market. However, high investment cost and issues related to data privacy, security, & reliability hinder the market growth. On the other hand, surge in adoption of cloud-based solutions & services present new opportunities in the coming years.

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Based on industry vertical, the BFSI segment held the largest share in 2020, accounting for around one-fourth of the global data science platform market. However, the healthcare segment is estimated to witness the largest CAGR of 36.8% during the forecast period.

Based on components, the platform segment contributed to the highest share in 2020, accounting for more than three-fifths of the total market share. However, the services segment is projected to manifest the highest CAGR of 37.9% from 2021 to 2030.

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Based on region, North America accounted for the highest share in 2020, contributing to around half of the total market share, and is projected to continue its leadership status by 2030. However, Asia-Pacific is projected to portray the fastest CAGR of 35.8% during the forecast period.

Leading players of the global data science platform industry analyzed in the research include Microsoft Corporation, SAS Institute, Inc., IBM Corporation, RapidMiner, Inc., SAP SE, Alteryx, Inc., Dataiku, The MathWorks, Inc., FICO, and Teradata.

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Covid-19 Scenario:

✓ Various organizations adopted the work-from-home culture due to lockdown measures. This created the demand for data science platforms to manage critical information of organizations. This presented lucrative opportunities for market growth.

✓ Moreover, governments in numerous countries adopted data science to avail real-time data on coronavirus cases and gain actionable insights from the data.

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Lastly, this report provides market intelligence most comprehensively. The report structure has been kept such that it offers maximum business value. It provides critical insights into the market dynamics and will enable strategic decision-making for the existing market players as well as those willing to enter the market.

Access the full summary at: https://www.alliedmarketresearch.com/data-science-platform-market

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Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP, based in Portland, Oregon. AMR provides global enterprises as well as medium and small businesses with unmatched quality of "Market Research Reports" and "Business Intelligence Solutions." AMR has a targeted view to provide business insights and consulting to assist its clients in making strategic business decisions and achieving sustainable growth in their respective market domains.

AMR launched its user-based online library of reports and company profiles, Avenue. An e-access library is accessible from any device, anywhere, and at any time for entrepreneurs, stakeholders, researchers, and students at universities. With reports on more than 60,000 niche markets with data comprising of 600,000 pages along with company profiles on more than 12,000 firms, Avenue offers access to the entire repository of information through subscriptions. A hassle-free solution to clients' requirements is complemented with analyst support and customization requests.


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