Pune, Maharashtra -- (SBWIRE) -- 10/12/2022 -- A Data science platform is a packaged software application that provides the tools for the entire life cycle of a data science project. Data science platforms facilitate data exploration, model development and model distribution. They provide an infrastructure to support large-scale computing. A data science platform serves as a central hub for collaboration because it contains APIs to allow users to produce models with minimal outside engineering needs.

The increase in reliance on machine learning creates a need for data science platforms that fulfil needs in building, training, scaling, and deploying machine learning (ML) models. The proper platforms and technologies enable breakthroughs in data science. In addition, big data technology and the growing importance of collecting and using data for decision-making are anticipated to drive the Data Science Platform Industry growth during the forecast period.

"According to SNS Insider, Data Science Platform Market Size was valued at US$ 6.40 Bn in 2021, projected to reach over US$ 29.97 Bn by 2028 with growing a CAGR of 24.67% during the forecast period 2022-2028."

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Major Company Profiles included in Data Science Platform Market are:
- Microsoft Corporation
- SAS institute inc.
- Fair Issac Corporation (fico)
- International business machines corporation (IBM corporation)
- Sap SE
- Teradata Corporation, Altreyx, inc.
- Dataiku SAS
- Rapidminer inc
- The MathWorks inc.

The global Data science platform market research considers historical data, current market trends, the environment, technological innovation, future technologies, and industry technological advancement. Journals, company websites, annual reports, white papers, mergers and acquisitions, and other reliable sources were used to compile the study's data and information. Businesses and investors interested in this market can use the information in the entire market report on the current state of the industry as direction and guidance.
This study offers a thorough examination of the global Data science platform market. Based on a combination of primary interviews, secondary research, and internal expert reviews, the report's market forecasts. These market estimates are based on research into the characteristics of the existing market as well as the social, political, and economic aspects that affect market expansion.

Data Science Platform Market Segmentation Outlook 2022

The Data science platform market is segmented by product type, end-user, application, and geography. The market segments and sub-segments will aid in the decision-making process for strategic core market application discovery and offer clients a thorough understanding of the market and industry insights. They will also support the investigation of untapped development prospects.

Major Segments and Sub-Segment of Data Science Platform Market are Listed Below:

On The Basis of Component:
- Platform
- Services

On The Basis of Application:
- Marketing & Sales
- Logistics
- Finance and Accounting
- Customer Support
- Others

On The Basis of Industry Vertical:
- BFSI
- Retail and E-Commerce
- IT and Telecom
- Transportation
- Healthcare
- Manufacturing
- Others

In this study, the years considered to estimate the market size of Data Science Platform are as follows:
- History Year: 2016-2020
- Base Year: 2021
- Estimated Year: 2022
- Forecast Year 2022 to 2028

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Regional Analysis Covered in this report:

- North America [United States, Canada]
- Europe [Germany, France, U.K., Italy, Russia]
- Asia-Pacific [China, Japan, South Korea, India, Australia, China Taiwan, Indonesia, Thailand, Malaysia]
- Latin America [Mexico, Brazil, Argentina]
- Middle East & Africa [Turkey, Saudi Arabia, UAE]

Regional Analysis

The most recent study contains market analysis for all the major countries, including the United States, China, India, the United Kingdom, Germany, Canada, South Korea, Brazil, and Mexico, at the international, regional, and national levels. For the regional and national segmentation of the study, market predictions and estimates will be provided. You may determine which area of the Data science platform market is the most profitable and where the most money will be produced in the future using market estimates and predictions.

Competitive Outlook of Data science platform Industry

The operations, financial statements, product overviews, and strategic objectives of each firm are looked at in a section of the market study that covers the leading competitors in the Data science platform market. The businesses featured in the report can be customized to meet a client's unique needs. Through the parts on competitive analysis, participants will gain a thorough understanding of market competitiveness.

Major Reasons to Purchase Data science platform Market Report

Outgrowth market trends are the main topic of interest in the market research report. Outlook comprises important components, comprehensive business advice focused on growth, and long-term objectives. They must develop/modify progressive, realign markets, and realign markets as their business expands and matures. The market research study identifies trends that are fragmenting the market research industry, having an effect on research, and, as a result, obstructing industry process verticals.

Frequently Asked Questions in this report are:

-Which Segments Are covered in this report?
-What are major driving factors & opportunities of Data science platform market 2022?
-Which region is dominating the Data science platform market?
- What is the current market size of Data science platform market?
- What is the leading application of Global Data Science Platform Market?

Table of Contents – Major Key Points

1. Introduction

2. Research Methodology

3. Market Dynamics

4. Impact Analysis

5. Value Chain Analysis

6. Porter's 5 Forces Model

7. PEST Analysis

8. Data Science Platform Market Segmentation, By Component

9. Data Science Platform Market Segmentation, By Application

10. Data Science Platform Market Segmentation, By Industry Vertical

11. Regional Analysis

12. Company Profiles

13. Competitive Landscape

14. Conclusion

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