Global data science platform market research report: by business function (marketing, sales, logistics, human resources), deployment (on-demand, on-premises), vertical (BFSI, healthcare, retail, IT, transportation) – Forecast till 2027
ID: MRFR/ICT/3763-HCR | February 2021 | Region: Global | 100 pages
Market Overview
A framework that consists of the life cycle of data science and its related projects is termed a data science platform. All the tools required to execute the process of the data science project spread across different stages like integration, ideation, and implementation are present in the data science platform. In addition, it enables the organizations to analyze their status in terms of tracking, shares, and much more. However, all these jobs involve a lot of effort, both mechanically and technically. Therefore, the platform tends to provide a competitive race to the teams to work even more effectively.
The data science platform has been helping companies to build models and operationalize analytical data. In addition, the platform has also been aiding high-end collaborations with business analysts, data scientists, developers, and even data engineers. As a result, the market has been witnessing tremendous growth over the past few years.
COVID-19 Analysis
COVID-19 has brought some severe consequences to all businesses around the globe. There is hardly any organization that the scary clutches of the pandemic have spared. The Data Science Platform Market Research Report prepared by the industry experts results from a thorough study and Data Science Platform Market Analysis. The qualitative and quantitative aspects of the DSP Market and the current Data Science Platform Industry scenarios have been discussed in the reports, keeping because of the pandemic's effects on the industry.
While no one is certain about the end of the pandemic, the businesses need to ensure that the working pattern is changed according to recent times to make the smooth running of the business possible. The losses that the companies had to face need to be overcome too. The steps discussing all these details are included in the exclusive report.
Market Dynamics
Growth
The data science platform is expected to grow considerably over the coming forecast period. The market is expecting a CAGR of 29% during the forecast period. Also, the market valuation is expected to reach USD 115 billion during the forecast period.
Drivers
There are primary factors that have been causing the increased growth of the market. This is:
An increase in the demand for analytical tools is one of the major factors driving the growth of the Data Science Platform Market to a great extent. It helps the users shape, control, and measure the data and helps in the formation of strategies for their organizations.
Restrains
The major restraint causing the hampered growth of the Data Science Platform Business is the lack of professionals with desired skills for the data science platform market. Data scientists are the ones who are skilled enough to tackle all such areas, and this lack of human resources with much-needed skills would also affect the growth of the Data Science Platform Business during the forecast period.
Regulatory implications
Regulatory implications tend to produce a direct effect on the growth of the Global Data Science Platform Market. However, the rules and laws differ from region to region, but the focus is mainly on the privacy and security of the data. Data is one of the significant assets that an organization has, and it would demand high-end protection of its data. Any breach can cause them enormous losses. While the laws focus on ensuring that there is no such breach, stringency in the laws is indeed the need of the hour.
Companies have also been taking good care of such laws to maintain the standards in the DSP Market.
Segmentation Overview
The data science platform market can be divided into the following:
- Based on the business functions
- Based on the deployment model
- Based on the industry verticals
- Based on the business functions
Based on the business functions, the Data Science Platform Industry can further be segmented into the following:
- Marketing
- Sales
- Human resource
- Operations
- Risk management
- Logistics
Based on the deployment
Based on the deployment, the Market Segments are as follows:
- On-demand
- On-premise
Based on the industry vertical
Based on the industry vertical, the Market can further be divided into the following:
- Retail
- BFSI
- IT
- Healthcare
- Energy and utilities
- Transportation
- Government
- Defense
Regional analysis
The data science platform market can be divided into the following segments according to the regions.
- Europe
- North America
- Asia Pacific
- Rest of the world
The region that holds the maximum share in North America is attributed to the increased capital investments in the region. Therefore, the data science platform is being looked at as the platform that helps the companies to have a competitive edge among the other organizations in the Global Data Science Platform Market.
They are projected to witness the highest growth in Asia pacific. Factors like growth in industrialization and increased digitization are responsible for the fast growth. Also, support from the government in the region has been bringing growth in the Data Science Platform Business.
Competitive landscape
The Data Science Platform Market Top Players are Microsoft Corporation (U.S.), Continuum Analytics, Inc. (U.S.), IBM Corporation (U.S.), Alteryx, Inc. (U.S.), Google, Inc. (U.S.), Dataiku (France), Wolfram (U.S.), .), Domino Data Lab (U.S.), Data Robot Inc. (U.S.), RapidMiner Inc. (U.S ) and Sense Inc. (U.S.).
All the Market Top Players have focused on bringing growth to the market by introducing various technological advancements that improve the quality and take care of the cost. In addition, various collaborations, mergers, and acquisitions between the players have helped the market reach heights of success. They have also been helping the newcomers understand the depth of the market and help them flourish.
Recent Developments
- Here are some of the recent developments in the data science platform market:
- Microsoft Machine learning Server 9.4 was released by Microsoft in July 2019 to provide a platform for Python function libraries and data science. It also has updates available for R and Python with the extra support of CDH 6.1 and Spark 2.4
- IBM data science and business analytics platform was launched by IBM in August 2019, including IBM decision optimization for the private cloud. Also, IBM SPSS Modeler, formerly called IBM performance management advanced, was another significant step towards introducing the latest technology in the Data Science Platform Market Segments.
- Google launched the AI Platform in April 2019. This platform makes the task of ML projects easier. It contains a toolchain that is integrated and assists in the formation and running of ML applications.
- The companies have focused on bringing the most recent technology to provide a high-quality product at pocket-friendly costs.
- Technologies like TFX and TPUs are a few of the technologies that come under Google's AL and have resulted in significant advancement in the technology in the market.
Report Overview
The industry experts' exclusive Data Science Platform Market Research Report has every element that an organization would require to run as efficiently and smoothly as possible. The report contains discussion points like an overview of the market and the Data Science Platform Market Analysis based on comparing the pre and post covid times. It also has the industry's market dynamics explained well, including the points like growth, drivers, and the restraints hampering the market's growth. The regulatory implications of the market have also been discussed in detail.
The market segmentation based on the business functions, deployment, industry verticals, and regions has also been discussed. The major players in the market with the strategies they have been implementing to get to the top have also been part of the report. The recent advancements in the market, which have also been discussed, helps the companies to stay up to date in the market and follow the implantation of such technologies in their respective companies.
Report Scope:
| Report Attribute/Metric | Details |
|---|---|
| Market Size | USD 115 Billion (2023) |
| CAGR | 29% (2020-2023) |
| Base Year | 2019 |
| Forecast Period | 2020-2027 |
| Historical Data | 2018 |
| Forecast Units | Value (USD Billion) |
| Report Coverage | Revenue Forecast, Competitive Landscape, Growth Factors, and Trends |
| Segments Covered | by business, deployment |
| Geographies Covered | North America, Europe, Asia-Pacific, and Rest of the World (RoW) |
| Key Vendors | Microsoft Corporation (U.S.), IBM Corporation (U.S.), Google, Inc. (U.S.), Wolfram (U.S.), DataRobot Inc. (U.S.), Sense Inc. (U.S.), RapidMiner Inc. (U.S.), Domino Data Lab (U.S.), Dataiku (France), Alteryx, Inc. (U.S.), and Continuum Analytics, Inc. (U.S.). |
| Key Market Opportunities |
|
| Key Market Drivers | Data science platform can improve analysis of available data of an enterprise that can improve productivity of an enterprise. This can impel the growth of data science platform market. |
Frequently Asked Questions (FAQ) :
At 29%, the data science platform market is expected to surge from 2017 to 2023.
By 2023, the data science platform market can generate substantial valuation, reveals MRFR.
IBM Corporation (U.S.), Wolfram (U.S.), Google, Inc. (U.S.), Sense Inc. (U.S.), and DataRobot Inc. (U.S.) are some reputed organisations in the data science platform market.
Data science platform can improve analysis of available data of an enterprise that can improve productivity of an enterprise. This can impel the growth of data science platform market.
In APAC, rapid industrialization can prompt the regional data science platform market growth.
TABLE OF CONTENTS
1 Executive Summary
2 Scope of the Report
2.1 Market Definition
2.2 Scope of the Study
2.2.1 Research Objectives
2.2.2 Assumptions & Limitations
2.3 Markets Structure
3 Market Research Methodology
3.1 Research Process
3.2 Secondary Research
3.3 Primary Research
3.4 Forecast Model
4 Market Landscape
4.1 Porter’s Five Forces Analysis
4.1.1 Threat of New Entrants
4.1.2 Bargaining power of buyers
4.1.3 Threat of substitutes
4.1.4 Segment rivalry
4.2 Value Chain/Supply Chain of Global Data Science Platform Market
5 Industry Overview of Global Data Science Platform Market
5.1 Introduction
5.2 Growth Drivers
5.3 Impact analysis
5.4 Market Challenges
6 Market Trends
6.1 Introduction
6.2 Growth Trends
6.3 Impact analysis
7. Global Data Science Platform Market by Business Type
7.1 Introduction
7.2 Marketing
7.2.1 Market Estimates & Forecast, 2020-2027
7.2.2 Market Estimates & Forecast by Region, 2020-2027
7.3 Sales
7.3.1 Market Estimates & Forecast, 2020-2027
7.3.2 Market Estimates & Forecast by Region, 2020-2027
7.4 Logistics
7.4.1 Market Estimates & Forecast, 2020-2027
7.4.2 Market Estimates & Forecast by Region, 2020-2027
7.5 Human Resources
7.5.1 Market Estimates & Forecast, 2020-2027
7.5.2 Market Estimates & Forecast by Region, 2020-2027
7.6 Operations
7.6.1 Market Estimates & Forecast, 2020-2027
7.6.2 Market Estimates & Forecast by Region, 2020-2027
7.7 Risk Management
7.7.1 Market Estimates & Forecast, 2020-2027
7.7.2 Market Estimates & Forecast by Region, 2020-2027
7.8 Customer Support
7.8.1 Market Estimates & Forecast, 2020-2027
7.8.2 Market Estimates & Forecast by Region, 2020-2027
7.9 Others
7.9.1 Market Estimates & Forecast, 2020-2027
7.9.2 Market Estimates & Forecast by Region, 2020-2027
8. Global Data Science Platform Market by Deployment
8.1 Introduction
8.2 On-Demand
8.2.1 Market Estimates & Forecast, 2020-2027
8.2.2 Market Estimates & Forecast by Region, 2020-2027
8.3 On-Premise
8.3.1 Market Estimates & Forecast, 2020-2027
8.3.2 Market Estimates & Forecast by Region, 2020-2027
9. Global Data Science Platform Market by Vertical
9.1 Introduction
9.2 Healthcare
9.2.1 Market Estimates & Forecast, 2020-2027
9.2.2 Market Estimates & Forecast by Region, 2020-2027
9.3 BFSI
9.3.1 Market Estimates & Forecast, 2020-2027
9.3.2 Market Estimates & Forecast by Region, 2020-2027
9.4 Defense & government
9.4.1 Market Estimates & Forecast, 2020-2027
9.4.2 Market Estimates & Forecast by Region, 2020-2027
9.5 Retail
9.5.1 Market Estimates & Forecast, 2020-2027
9.5.2 Market Estimates & Forecast by Region, 2020-2027
9.6 Energy & Utilities
9.6.1 Market Estimates & Forecast, 2020-2027
9.6.2 Market Estimates & Forecast by Region, 2020-2027
9.7 Transportation
9.7.1 Market Estimates & Forecast, 2020-2027
9.7.2 Market Estimates & Forecast by Region, 2020-2027
9.8 Others
9.8.1 Market Estimates & Forecast, 2020-2027
9.8.2 Market Estimates & Forecast by Region, 2020-2027
10. Global Data Science Platform Market by Region
10.1 Introduction
10.2 North America
10.2.1 Market Estimates & Forecast, 2020-2027
10.2.2 Market Estimates & Forecast by Business Type, 2020-2027
10.2.3 Market Estimates & Forecast by Vertical, 2020-2027
10.2.4 Market Estimates & Forecast by Deployment, 2020-2027
10.2.5 U.S.
10.2.5.1 Market Estimates & Forecast, 2020-2027
10.2.5.2 Market Estimates & Forecast by Business Type, 2020-2027
10.2.5.3 Market Estimates & Forecast by Vertical, 2020-2027
10.2.5.4 Market Estimates & Forecast by Deployment, 2020-2027
10.2.6 Mexico
10.2.6.1 Market Estimates & Forecast, 2020-2027
10.2.6.2 Market Estimates & Forecast by Business Type, 2020-2027
10.2.6.3 Market Estimates & Forecast by Vertical, 2020-2027
10.2.6.4 Market Estimates & Forecast by Deployment, 2020-2027
10.2.7 Canada
10.2.7.1 Market Estimates & Forecast, 2020-2027
10.2.7.2 Market Estimates & Forecast by Business Type, 2020-2027
10.2.7.3 Market Estimates & Forecast by Vertical, 2020-2027
10.2.7.4 Market Estimates & Forecast by Deployment, 2020-2027
10.3 Europe
10.3.1 Market Estimates & Forecast, 2020-2027
10.3.2 Market Estimates & Forecast by Business Type, 2020-2027
10.3.3 Market Estimates & Forecast by Vertical, 2020-2027
10.3.4 Market Estimates & Forecast by Deployment, 2020-2027
10.3.5 Germany
10.3.5.1 Market Estimates & Forecast, 2020-2027
10.3.5.2 Market Estimates & Forecast by Business Type, 2020-2027
10.3.5.3 Market Estimates & Forecast by Vertical, 2020-2027
10.3.5.4 Market Estimates & Forecast by Deployment, 2020-2027
10.3.6. France
10.3.6.1 Market Estimates & Forecast, 2020-2027
10.3.6.2 Market Estimates & Forecast by Business Type, 2020-2027
10.3.6.3 Market Estimates & Forecast by Vertical, 2020-2027
10.3.6.4 Market Estimates & Forecast by Deployment, 2020-2027
10.3.7 Italy
10.3.7.1 Market Estimates & Forecast, 2020-2027
10.3.7.2 Market Estimates & Forecast by Business Type, 2020-2027
10.3.7.3 Market Estimates & Forecast by Vertical, 2020-2027
10.3.7.4 Market Estimates & Forecast by Deployment, 2020-2027
10.3.8 Spain
10.3.8.1 Market Estimates & Forecast, 2020-2027
10.3.8.2 Market Estimates & Forecast by Business Type, 2020-2027
10.3.8.3 Market Estimates & Forecast by Vertical 2020-2027
10.3.8.4 Market Estimates & Forecast by Deployment, 2020-2027
10.3.9 U.K
10.3.9.1 Market Estimates & Forecast, 2020-2027
10.3.9.2 Market Estimates & Forecast by Business Type, 2020-2027
10.3.9.3 Market Estimates & Forecast by Vertical, 2020-2027
10.3.9.4 Market Estimates & Forecast by Deployment, 2020-2027
10.4 Asia Pacific
10.4.1 Market Estimates & Forecast, 2020-2027
10.4.2 Market Estimates & Forecast by Business Type, 2020-2027
10.4.3 Market Estimates & Forecast by Vertical, 2020-2027
10.4.4 Market Estimates & Forecast by Deployment, 2020-2027
10.4.5 China
10.4.5.1 Market Estimates & Forecast, 2020-2027
10.4.5.2 Market Estimates & Forecast by Business Type, 2020-2027
10.4.5.3 Market Estimates & Forecast by Vertical, 2020-2027
10.4.5.4 Market Estimates & Forecast by Deployment, 2020-2027
10.4.6 India
10.4.6.1 Market Estimates & Forecast, 2020-2027
10.4.6.2 Market Estimates & Forecast by Business Type, 2020-2027
10.4.6.3 Market Estimates & Forecast by Vertical, 2020-2027
10.4.6.4 Market Estimates & Forecast by Deployment, 2020-2027
10.4.7 Japan
10.4.7.1 Market Estimates & Forecast, 2020-2027
10.4.7.2 Market Estimates & Forecast by Business Type, 2020-2027
10.4.7.3 Market Estimates & Forecast by Vertical, 2020-2027
10.4.7.4 Market Estimates & Forecast by Deployment, 2020-2027
10.4.8 Rest of Asia Pacific
10.4.8.1 Market Estimates & Forecast, 2020-2027
10.4.8.2 Market Estimates & Forecast by Business Type, 2020-2027
10.4.8.3 Market Estimates & Forecast by Vertical, 2020-2027
10.4.8.4 Market Estimates & Forecast by Deployment, 2020-2027
10.5 Rest of the world
10.5.1 Market Estimates & Forecast, 2020-2027
10.5.2 Market Estimates & Forecast by Business Type, 2020-2027
10.5.3 Market Estimates & Forecast by Vertical, 2020-2027
10.5.4 Market Estimates & Forecast by Deployment, 2020-2027
10.5.5 The Middle East & Africa
10.5.5.1 Market Estimates & Forecast, 2020-2027
10.5.5.2 Market Estimates & Forecast by Business Type, 2020-2027
10.5.5.3 Market Estimates & Forecast by Vertical, 2020-2027
10.5.5.4 Market Estimates & Forecast by Deployment, 2020-2027
10.5.6 Latin Countries
10.5.6.1 Market Estimates & Forecast, 2020-2027
10.5.6.2 Market Estimates & Forecast by Business Type, 2020-2027
10.5.6.3 Market Estimates & Forecast by Vertical, 2020-2027
10.5.6.4 Market Estimates & Forecast by Deployment, 2020-2027
11. Company Landscape
12. Company Profiles
12.1 Microsoft Corporation (U.S.)
12.1.1 Company Overview
12.1.2 Deployment/Business Segment Overview
12.1.3 Financial Updates
12.1.4 Key Developments
12.2 IBM Corporation (U.S.)
12.2.1 Company Overview
12.2.2 Deployment/Business Segment Overview
12.2.3 Financial Updates
12.2.4 Key Developments
12.3 Google, Inc. (U.S.)
12.3.1 Company Overview
12.3.2 Deployment/Business Segment Overview
12.3.3 Financial Updates
12.3.4 Key Developments
12.4 Wolfram (U.S.)
12.4.1 Company Overview
12.4.2 Deployment/Business Segment Overview
12.4.3 Financial Updates
12.4.4 Key Developments
12.5 DataRobot Inc. (U.S.)
12.5.1 Company Overview
12.5.2 Deployment/Business Segment Overview
12.5.3 Financial Updates
12.5.4 Key Developments
12.6 Sense Inc. (U.S.)
12.6.1 Company Overview
12.6.2 Deployment/Business Segment Overview
12.6.3 Financial Updates
12.6.4 Key Developments
12.7 RapidMiner Inc. (U.S.)
12.7.1 Company Overview
12.7.2 Deployment/Business Segment Overview
12.7.3 Financial Updates
12.7.4 Key Developments
12.8 Domino Data Lab (U.S.)
12.8.1 Company Overview
12.8.2 Deployment/Business Segment Overview
12.8.3 Financial Updates
12.8.4 Key Developments
12.9 Dataiku (France)
12.9.1 Company Overview
12.9.2 Deployment/Business Segment Overview
12.9.3 Financial Updates
12.9.4 Key Developments
12.10 Alteryx, Inc. (U.S.)
12.10.1 Company Overview
12.10.2 Deployment/Business Segment Overview
12.10.3 Financial Updates
12.10.4 Key Developments
13 Conclusion
LIST OF TABLES
Table 1 Global Data Science Platform Market: By Region, 2020-2027
Table 2 North America Data Science Platform Market: By Country, 2020-2027
Table 3 Europe Data Science Platform Market: By Country, 2020-2027
Table 4 Asia-Pacific Data Science Platform Market: By Country, 2020-2027
Table 5 Middle East & Africa Data Science Platform Market: By Country, 2020-2027
Table 6 Latin America Data Science Platform Market: By Country, 2020-2027
Table 7 Global Data Science Platform by Business Type Market: By Regions, 2020-2027
Table 8 North America Data Science Platform by Business Type Market: By Country, 2020-2027
Table 9 Europe Data Science Platform by Business Type Market: By Country, 2020-2027
Table10 Asia-Pacific Data Science Platform by Business Type Market: By Country, 2020-2027
Table11 Middle East & Africa Data Science Platform by Business Type Market: By Country, 2020-2027
Table12 Latin America Data Science Platform by Business Type Market: By Country, 2020-2027
Table13 Global Data Science Platform by Deployment Market: By Regions, 2020-2027
Table14 North America Data Science Platform by Deployment Market: By Country, 2020-2027
Table15 Europe Data Science Platform by Deployment Market: By Country, 2020-2027
Table16 Asia-Pacific Data Science Platform by Deployment Market: By Country, 2020-2027
Table17 Middle East & Africa Data Science Platform by Deployment Market: By Country, 2020-2027
Table18 Latin America Data Science Platform by Deployment Market: By Country, 2020-2027
Table19 North America Data Science Platform for Form Market: By Country, 2020-2027
Table20 Europe Data Science Platform for Form Market: By Country, 2020-2027
Table21 Asia-Pacific Data Science Platform for Form Market: By Country, 2020-2027
Table22 Middle East & Africa Data Science Platform for Form Market: By Country, 2020-2027
Table23 Latin America Data Science Platform for Form Market: By Country, 2020-2027
Table24 Global Business Type Market: By Region, 2020-2027
Table25 North America Data Science Platform Market, By Country
Table26 North America Data Science Platform Market, By Business Type
Table27 North America Data Science Platform Market, By Deployment
Table28 North America Data Science Platform Market, By Vertical
Table29 Europe: Data Science Platform Market, By Country
Table30 Europe: Data Science Platform Market, By Business Type
Table 31 Europe: Data Science Platform Market, By Deployment
Table32 Europe Data Science Platform Market, By Vertical
Table33 Asia-Pacific: Data Science Platform Market, By Country
Table34 Asia-Pacific: Data Science Platform Market, By Business Type
Table 35 Asia-Pacific: Data Science Platform Market, By Deployment
Table36 Asia-Pacific Data Science Platform Market, By Vertical
Table37 Middle East & Africa: Data Science Platform Market, By Country
Table38 Middle East & Africa Data Science Platform Market, By Business Type
Table39 Middle East & Africa: Data Science Platform Market, By Deployment
Table40 Middle East & Africa Data Science Platform Market, By Vertical
Table41 Latin America: Data Science Platform Market, By Country
Table42 Latin America Data Science Platform Market, By Business Type
Table43 Latin America: Data Science Platform Market, By Deployment
Table44 Latin America Data Science Platform Market, By Vertical
LIST OF FIGURES
FIGURE 1 Global Data Science Platform Market segmentation
FIGURE 2 Forecast Methodology
FIGURE 3 Five Forces Analysis of Global Data Science Platform Market
FIGURE 4 Value Chain of Global Data Science Platform Market
FIGURE 5 Share of Global Data Science Platform Market in 2020, by country (in %)
FIGURE 6 Global Data Science Platform Market, 2020-2027,
FIGURE 7 Sub segments of Business Type
FIGURE 8 Global Data Science Platform Market size by Business Type, 2020
FIGURE 9 Share of Global Data Science Platform Market by Business Type, 2020 TO 2027
FIGURE 10 Global Data Science Platform Market size by Deployment, 2020 TO 2027
FIGURE 11 Share of Global Data Science Platform Market by Deployment, 2020 TO 2027
FIGURE 12 Global Data Science Platform Market size by vertical, 2020 TO 2027
FIGURE 13 Share of Global Data Science Platform Market by Vertical, 2020 TO 2027