Insights on the Global Data Science Platform Global Market to 2026 - Increasing Demand for Public Cloud Presents Opportunties
DUBLIN, Oct. 21, 2021 /PRNewswire/ -- The "Global Data Science Platform Market (2021-2026) by Component, Deployment, Organization Size, Function, Industry Vertical, Geography, Competitive Analysis and the Impact of COVID-19 with Ansoff Analysis" report has been added to ResearchAndMarkets.com's offering.
The Global Data Science Platform Market is estimated to be USD 43.3 Bn in 2021 and is expected to reach USD 73.2 Bn by 2026, growing at a CAGR of 11.07%.
Key factors such as a massive increase in data volume due to increasing digitalization and automation of processes have been a crucial driver in the growth of data science platform. Besides, the enterprises are increasingly focusing on analytical tools for deriving insights into consumer behavior and purchasing patterns. This, in turn, has been shaping their business decisions and strategies to compete in the market. Besides, the adoption of data science platforms has found its way in various industry verticals such as manufacturing, IT, BFSI, retail, etc. All these factors have helped in contributing to the growth of the data science platform market.
However, the costs attached to the deployment of these platforms, along with less workforce with domain expertise capabilities and threats to data privacy, has been a hindrance in the growth of the market.
Market Dynamics
Drivers
- High Generation of Data Volumes
- Rising Focus On Data-Driven Decisions
- Increasing Adoption of Data Science Platforms Across Diversified Industry Verticals
Restraints
- High Initial Investments
- Lack of Domain Expertise
- Data Privacy, Security, and Reliability Concerns
Opportunities
- Increasing Adoption of Data-Driven Technologies by Enterprises
- Increasing Demand for Public Cloud
- Investments and Funding in Development of Big Data and Related Technologies by Public and Private Sectors
Challenges
- Stringent Government Rules and Regulations
Company Profiles
Some of the companies covered in this report are Microsoft Corporation, IBM Corporation, SAS Institute, Inc., SAP SE, RapidMiner, Inc., Dataiku SAS, Alteryx, Inc., Fair Issac Corporation, MathWorks, Inc., Teradata, Inc, etc.
Competitive Quadrant
The report includes a Competitive Quadrant, a proprietary tool to analyze and evaluate the position of companies based on their Industry Position score and Market Performance score. The tool uses various factors for categorizing the players into four categories. Some of these factors considered for analysis are financial performance over the last 3 ears, growth strategies, innovation score, new product launches, investments, growth in market share, etc.
Why buy this report?
- The report offers a comprehensive evaluation of the Global Data Science Platform Market.
- The report includes in-depth qualitative analysis, verifiable data from authentic sources, and projections about market size. The projections are calculated using proven research methodologies.
- The report has been compiled through extensive primary and secondary research. The primary research is done through interviews, surveys, and observation of renowned personnel in the industry.
- The report includes in-depth market analysis using Porter's 5 force model and the Ansoff Matrix. The impact of Covid-19 on the market is also featured in the report.
- The report also contains the competitive analysis using Competitive Quadrant, the analyst's proprietary competitive positioning tool.
Report Highlights:
- A complete analysis of the market including parent industry
- Important market dynamics and trends
- Market segmentation
- Historical, current, and projected size of the market based on value and volume
- Market shares and strategies of key players
- Recommendations to companies for strengthening their foothold in the market
Key Topics Covered:
1 Report Description
2 Research Methodology
3 Executive Summary
4 Market Overview 4.1 Introduction 4.2 Market Dynamics 4.2.1 Drivers 4.2.2 Restraints 4.2.3 Opportunities 4.2.4 Challenges 4.3 Trends
5 Market Analysis 5.1 Porter's Five Forces Analysis 5.2 Impact of COVID-19 5.3 Ansoff Matrix Analysis
6 Global Data Science Platform Market, By Component 6.1 Introduction 6.2 Platform 6.3 Services 6.3.1 Managed Services 6.3.2 Professional Services 6.3.2.1 Training and Consulting 6.3.2.2 Integration and Deployment 6.3.2.3 Support and Maintenance
7 Global Data Science Platform Market, By Deployment 7.1 Introduction 7.2 Cloud 7.3 On-premises
8 Global Data Science Platform Market, By Organization Size 8.1 Introduction 8.2 Large Enterprises 8.3 Small and Medium-sized Enterprises
9 Global Data Science Platform Market, By Function 9.1 Introduction 9.2 Marketing 9.3 Sales 9.4 Logistics 9.5 Finance and Accounting 9.6 Customer Support 9.7 Others
10 Global Data Science Platform Market, By Industry Verticals 10.1 Introduction 10.2 Banking, Financial Services, and Insurance (BFSI) 10.3 Telecom and IT 10.4 Retail and E-Commerce 10.5 Healthcare and Life sciences 10.6 Manufacturing 10.7 Energy and Utilities 10.8 Media and Entertainment 10.9 Transportation and Logistics 10.10 Government 10.11 Others
11 Global Data Science Platform Market, By Geography 11.1 Introduction 11.2 North America 11.2.1 US 11.2.2 Canada 11.2.3 Mexico 11.3 South America 11.3.1 Brazil 11.3.2 Argentina 11.4 Europe 11.4.1 UK 11.4.2 France 11.4.3 Germany 11.4.4 Italy 11.4.5 Spain 11.4.6 Rest of Europe 11.5 Asia-Pacific 11.5.1 China 11.5.2 Japan 11.5.3 India 11.5.4 Indonesia 11.5.5 Malaysia 11.5.6 South Korea 11.5.7 Australia 11.5.8 Russia 11.5.9 Rest of APAC 11.6 Rest of the World 11.6.1 Qatar 11.6.2 Saudi Arabia 11.6.3 South Africa 11.6.4 United Arab Emirates 11.6.5 Latin America
12 Competitive Landscape 12.1 Competitive Quadrant 12.2 Market Share Analysis 12.3 Competitive Scenario 12.3.1 Mergers & Acquisitions 12.3.2 Agreements, Collaborations, & Partnerships 12.3.3 New Product Launches & Enhancements 12.3.4 Investments & Fundings
13 Company Profiles 13.1 Microsoft Corporation 13.2 IBM Corporation 13.3 Google, Inc 13.4 Wolfram 13.5 DataRobot Inc. 13.6 Sense Inc. 13.7 RapidMiner Inc. 13.8 Domino Data Lab 13.9 Dataiku SAS 13.10 Alteryx, Inc. 13.11 Oracle 13.12 Tibco Software Inc. 13.13 SAS Institute Inc. 13.14 SAP SE 13.15 The Mathworks, Inc. 13.16 Cloudera, Inc. 13.17 H2O.ai 13.18 Fair Issac Corporation 13.19 Teradata, Inc 13.20 Kaggle Inc., 13.21 Micropole S.A. 13.22 Continuum Analytics, Inc. 13.23 C&F Insight technology solutions 13.24 Civis Analytics, Inc. 13.25 VMware Inc 13.26 Alpine Data Labs, 13.27 Thoughtworks Inc 13.28 MuSigma 13.29 Tableau Software LLC
14 Appendix
For more information about this report visit https://www.researchandmarkets.com/r/vs5gey
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SOURCE Research and Markets
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