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 around 27% CAGR 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.

Key Findings in Global Data Science Platform Market:

Historical Analysis: 2017 –2020

Base Year: 2021

Forecast Period: 2022-2027

Leading Market Players- 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, Others

Key Highlights of the Report

Market Dimensions And Projections

Pricing Evaluation,

Recent Strategic Moves by Companies,

Primary Stakeholders,

Analysis of Import and Export Trends,

Competitive Landscape Assessment,

Emerging Opportunities,

Market Trends and Indicators

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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

Europe

Middle East & Africa

Asia-Pacific

Key Questions Addressed in This Study

What are the primary factors driving the growth of the Global Data Science Platform?

How is the Global Data Science Platform expected to evolve over the next five years?

What key insights can be drawn from current trends shaping the market?

What is the current market size, and how is it forecasted to change in the coming years?

What is the future outlook for the market in terms of technological innovation and geographic expansion?

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Why MarkNtel Advisors?

MarkNtel Advisors is a leading research, consulting, And data analytics firm that provides an extensive range of strategic reports on diverse industry verticals. We deliver data to a substantial And varied client base, including multinational corporations, financial institutions, governments, And 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 And forecasting, And trend analysis, among others, for 15 diverse industrial verticals.

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