MarkNtel Advisors recently published a detailed industry analysis of the Global Data Science Platform Market. The report covers growth trends, geographical marketing strategies, challenges, opportunities, and drivers influencing the market.

Global Data Science Platform Market, Share, and Trends Analysis Report – Industry Overview and Forecast to 2027

The Data Science Platform Market is projected to grow at a CAGR of around 27% during the forecast period, i.e., 2022-27.

What are the major Driver the Global Data Science Platform industry?

The Exponential Rise in Big Data Worldwide- The amount of data companies generate is continually surging due to the growing penetration of social media & the IoT worldwide. Human & machine-generated data is typically 10 times greater than that produced by corporates, and the majority of that is user-driven & oriented. This exponential surge in data collection has created prospects for businesses to learn & adopt new data processing technologies, which, as a result, is augmenting the adoption of data analytics solutions across different industries and driving the Global Data Science Platform Market.

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 What segments define the Global Data Science Platform Market from 2022 to 2027? How do these segments contribute to market dynamics and growth?

       By Application

• Marketing & Sales
• Logistics
• Finance & Accounting
• Customer Support

         By Deployment

• On-Premise
• Cloud

According to report, Of both deployment methods, Cloud-based analytics is gaining traction and contributing significantly to the growth of the Global Data Science Platform Market.

        By Organization Size

• Small & Medium Enterprises
• Large Enterprises

        By End-User

• Banking, Financial Services, & Insurance (BFSI)
• Telecom & IT
• Retail & E-commerce
• Healthcare & Life Sciences
• Manufacturing
• Government & Defense
• Energy & Utilities
• Others (Media & Entertainment, Transportation & Logistics, etc.)

According to report, Here, the healthcare sector is emerging as a prominent end-user of the Global Data Science Platform Market.

Explore the Complete Global Data Science Platform Market Analysis Report –

https://www.marknteladvisors.com/research-library/data-science-platform-market.html

Geographical Analysis: Global Data Science Platform Market

           By Region

• North America
• South America
• Europe
• Asia-Pacific
• Rest of World

Global Data Science Platform Market Share & Competitive Landscape:

The Data Science Platform Market is characterized by intense competition, with several key players driving growth through innovation, market expansion, and strategic investments. The competitive landscape provides valuable insights into the industry's leading companies, highlighting their strengths, financial performance, and market influence.

Leading Companies in the Global Data Science Platform Market are:

• ActionIQ
• Alphabet Inc. (Google)
• Alteryx Inc.
• Amazon Web Services, Inc.
• Anaconda, Inc.
• Cloudera, Inc.
• Domino Data Lab, Inc.
• IBM Corporation
• H2O.ai
• MathWorks
• Microsoft Corporation
• SAP SE
• SAS Institute, Inc.
• Snowflake Inc.
• Teradata Corporation

Questions Addressed in this Study

1.What factors are driving the Global Data Science Platform Market growth?

2.How is the Global Data Science Platform Market expected to grow over the next five years?

3.What are the key insights into the current trends in the Global Data Science Platform Market?

4.What is the current size of the Global Data Science Platform Market, and how is it projected to change in the future?

6.What is the future outlook for the Global Data Science Platform Market in terms of technological advancements and market expansion?

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Why MarkNtel Advisors?

MarkNtel Advisors is a leading research, consulting, & data analytics firm that provides an extensive range of strategic reports on diverse industry verticals. We deliver data to a substantial & varied client base, including multinational corporations, financial institutions, governments, & individuals, among others.

Our specialization in niche industries informed way and entail parameters like Go-to-Market (GTM), product development, feasibility analysis, project scoping, market segmentation, competitive benchmarking, market sizing & forecasting, & trend analysis, among others, for 15 diverse industrial verticals.

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