Global Data Science Platform Market is valued at 35.07 USD Billion in 2019 and expected to reach USD 206.14 Billion by 2026 with the CAGR of 28.80% over the forecast period.
Scope of the report
This report analyses the global market for Data Science Platform. The report will enable the user to understand and gain insights into the current and forecast market situation. The market is comprehensively analyzed by geography to give complete information on the global scenario. The qualitative and quantitative data provided in this study can help user understand which market segments, regions are expected to grow at higher rates, factors affecting the market and key opportunity areas. The report also includes competitive landscape of key players in the industry along with emerging trends in the market.
Key Players
IBM Corporation, Microsoft Corporation, Alphabet Inc., Altair Engineering, Inc., Alteryx, Inc., MathWorks, SAS Institute Inc., RapidMiner, Inc., Cloudera, Inc., Anaconda, Inc., Wolfram, Dataiku, and others
Above mentioned companies were scrutinized to assess competitive landscape of global Data Science Platform market. Report provides company profiles of each player. Each profile include company product portfolio,business overview, company governance, company financials, business strategies, manufacturing locations and production facilities, company sale, recent developments and strategic collaborations & partnerships, new product launch, company segments, application diversification and company strength and weakness analysis.
Review period: (2016-2026)
Historic Period: 2016 to 2019
Forecast Period: 2020 to 2026
Base Year: 2019
Unit: USD Billion
This Data Science Platform market report provides insights on new trade regulations, import export analysis, industry value chain analysis, market size, consumption, production analysis, capacity analysis, regional and segment market share, product launches, product pipeline analysis, impact of Covid-19 on supply chain, key regions, untapped markets, patent analysis, product approvals, continuous innovations and developments in the market.
Regions
• North America: U.S., Canada and Rest of North America
• Europe: UK, France, Germany, Italy, Spain and Rest of Europe
• Asia Pacific: China, Japan, India, Australia, Southeast Asia and Rest of Asia Pacific
• Latin America: Brazil, Mexico, Argentina and Rest of Latin America
• Middle East and Africa: Gulf Countries, Israel, Africa and Rest of Middle East and Africa
Market Segmentation
• deployment modes
o Cloud
o On-premise
• organization size
o Small and Medium-sized Enterprises
o Large Enterprises
• business functions
o Marketing
o Sales
o Logistics
o Finance and Accounting
o Customer Support
o Other
• industry verticals
o Banking, Financial Services, and Insurance
o Telecom and IT
o Retail and ecommerce
o Healthcare and Life sciences
o Manufacturing
o Energy and Utilities
Report Coverage
• An overview of the global Data Science Platform market
• In depth analysis of market dynamics and major factors such as drivers, restraints, opportunities and trends influencing the global market
• Global Data Science Platform market revenue data historic and forecast analysis (2016 to 2026)
• Characterization and quantification of the market segments for Data Science Platform market
• Market share analysis of key market participants and their competitive landscape
Important Questions Answered by Global Data Science Platform Market Report
• What is the impact of COVID 19 epidemic on the global Data Science Platform market?
• Which is mostly affected region, country?
• Which is the current largest and fastest-growing region?
• What is the market size and growth rate of the global Data Science Platform market?
• What are current factors affecting the growth of market?
• What are Key trends and opportunity areas?
• Within Data Science Platform market, which segments are fastest growing & emerging strongly? What are the drivers and restraints for each segment? What are vendor competencies by segment?
• What are the major strategies adopted by leading market companies?
• What are company challenges and essential success factors by market segment?
• How company offerings and supply chain capabilities are shifting to meet emerging market needs?
Table of Contents
1. Introduction
1.1. Report Description
1.2. Market Segmentation
1.3. Research Methodology
1.4. List of Abbreviations
2. Executive Summary
3. Market Overview
3.1. Market Definition
3.2. Market Scope
3.3. Market Drivers
3.4. Market Restraints
3.5. Market Opportunities and Trends
3.6. Porter’s five force analysis
3.7. SWOT Analysis
3.8. PEST Analysis
3.9. Patent Analysis
3.10. Impact of COVID 19 on Global Data Science Platform
4. Data Science Platform Market, By deployment modes, Market Size and Forecast 2016 -2026 (USD Billion)
4.1. Global Data Science Platform Market By deployment modes, 2016 -2026 (USD Billion)
4.1.1. Global Data Science Platform Market By Cloud
4.1.2. Global Data Science Platform Market By On-premise
4.2. Global Data Science Platform Market By deployment modes Share, 2016 -2026 (%)
5. Data Science Platform Market, By business functions, Market Size and Forecast 2016 -2026 (USD Billion)
5.1. Global Data Science Platform Market By business functions, 2016 -2026 (USD Billion)
5.1.1. Global Data Science Platform Market By Marketing
5.1.2. Global Data Science Platform Market By Sales
5.1.3. Global Data Science Platform Market By Logistics
5.1.4. Global Data Science Platform Market By Finance and Accounting
5.1.5. Global Data Science Platform Market By Customer Support
5.1.6. Global Data Science Platform Market By Other
5.2. Global Data Science Platform Market By business functions Share, 2016 -2026 (%)
6. Data Science Platform Market, By organization size, Market Size and Forecast 2016 -2026 (USD Billion)
6.1. Global Data Science Platform Market By organization size, 2016 -2026 (USD Billion)
6.1.1. Global Data Science Platform Market By Small and Medium-sized Enterprises
6.1.2. Global Data Science Platform Market By Large Enterprises
6.2. Global Data Science Platform Market By organization size Share, 2016 -2026 (%)
7. Data Science Platform Market, By industry verticals, Market Size and Forecast 2016 -2026 (USD Billion)
7.1. Global Data Science Platform Market By industry verticals, 2016 -2026 (USD Billion)
7.1.1. Global Data Science Platform Market By Banking, Financial Services, and Insurance
7.1.2. Global Data Science Platform Market By Telecom and IT
7.1.3. Global Data Science Platform Market By Retail and ecommerce
7.1.4. Global Data Science Platform Market By Healthcare and Life sciences
7.1.5. Global Data Science Platform Market By Manufacturing
7.1.6. Global Data Science Platform Market By Energy and Utilities
7.2. Global Data Science Platform Market By industry verticals Share, 2016 -2026 (%)
8. Data Science Platform Market, By Region Market Size and Forecast 2016 -2026
8.1. NORTH AMERICA
8.1.1. Key Findings
8.1.2. Impact of COVID 19
8.1.3. Key market trends, growth factors and opportunities
8.1.4. North America Data Science Platform Market by Country 2016 -2026 (USD Billion)
8.1.5. North America Data Science Platform Market By deployment modes 2016 -2026 (USD Billion)
8.1.6. North America Data Science Platform Market By organization size 2016 -2026 (USD Billion)
8.1.7. North America Data Science Platform Market By business functions 2016 -2026 (USD Billion)
8.1.8. North America Data Science Platform Market By industry verticals 2016 -2026 (USD Billion)
8.2. EUROPE
8.2.1. Key Findings
8.2.2. Impact of COVID 19
8.2.3. Key market trends, growth factors and opportunities
8.2.4. Europe Data Science Platform Market by Country 2016 -2026 (USD Billion)
8.2.5. Europe Data Science Platform Market By deployment modes 2016 -2026 (USD Billion)
8.2.6. Europe Data Science Platform Market By organization size 2016 -2026 (USD Billion)
8.2.7. Europe Data Science Platform Market By business functions 2016 -2026 (USD Billion)
8.2.8. Europe Data Science Platform Market By industry verticals 2016 -2026 (USD Billion)
8.3. ASIA PACIFIC
8.3.1. Key Findings
8.3.2. Impact of COVID 19
8.3.3. Key market trends, growth factors and opportunities
8.3.4. Asia Pacific Data Science Platform Market by Country 2016 -2026 (USD Billion)
8.3.5. Asia Pacific Data Science Platform Market By deployment modes 2016 -2026 (USD Billion)
8.3.6. Asia Pacific Data Science Platform Market By organization size 2016 -2026 (USD Billion)
8.3.7. Asia Pacific Data Science Platform Market By business functions 2016 -2026 (USD Billion)
8.3.8. Asia Pacific Data Science Platform Market By industry verticals 2016 -2026 (USD Billion)
8.4. LATIN AMERICA
8.4.1. Key Findings
8.4.2. Impact of COVID 19
8.4.3. Key market trends, growth factors and opportunities
8.4.4. Latin America Data Science Platform Market by Country 2016 -2026 (USD Billion)
8.4.5. Latin America Data Science Platform Market By deployment modes 2016 -2026 (USD Billion)
8.4.6. Latin America Data Science Platform Market By organization size 2016 -2026 (USD Billion)
8.4.7. Latin America Data Science Platform Market By business functions 2016 -2026 (USD Billion)
8.4.8. Latin America Data Science Platform Market By industry verticals 2016 -2026 (USD Billion)
8.5. MIDDLE EAST AND AFRICA
8.5.1. Key Findings
8.5.2. Impact of COVID 19
8.5.3. Key market trends, growth factors and opportunities
8.5.4. Middle East and Africa Data Science Platform Market by Country 2016 -2026 (USD Billion)
8.5.5. Middle East and Africa Data Science Platform Market By deployment modes 2016 -2026 (USD Billion)
8.5.6. Middle East and Africa Data Science Platform Market By organization size 2016 -2026 (USD Billion)
8.5.7. Middle East and Africa Data Science Platform Market By business functions 2016 -2026 (USD Billion)
8.5.8. Middle East and Africa Data Science Platform Market By industry verticals 2016 -2026 (USD Billion)
9. Competitive Landscape Analysis
9.1. Global Data Science Platform Market Company Revenue, (USD Billion), 2016-2019
9.2. Global Data Science Platform Market Company Share, (%), 2016-2019
10. Company Profiles
10.1. IBM Corporation
10.2. Microsoft Corporation
10.3. Alphabet Inc.
10.4. Altair Engineering, Inc.
10.5. Alteryx, Inc.
10.6. MathWorks
10.7. SAS Institute Inc.
10.8. RapidMiner, Inc.
10.9. Cloudera, Inc.
10.10. Anaconda, Inc.
10.11. Wolfram
10.12. Dataiku
10.13. Others
11. Appendix
12. List of Tables
13. List of Figures
