The data science platform puts the entire data modeling process in the hands of data science teams so they can focus on deriving insights from data and communicating them to key stakeholders in the business. The market studied comprises of applications, such as marketing, sales. And others, which are mostly deployed in on-premises and cloud based with the platform.
The global Data Science and Machine-Learning Platforms market is expected to expand at a CAGR of +30% over the forecast period 2020-2026.
The report, titled Global Data Science and Machine-Learning Platforms Market defines and briefs readers about its products, applications, and specifications. The research lists key companies operating in the global market and also highlights the key changing trends adopted by the companies to maintain their dominance. By using SWOT analysis and Porter’s five force analysis tools, the strengths, weaknesses, opportunities, and threats of key companies are all mentioned in the report. All leading players in this global market are profiled with details such as product types, business overview, sales, manufacturing base, competitors, applications, and specifications.
Top Key Vendors in Market:
IBM Corporation (US), Microsoft Corporation (US), Alphabet Inc. (Google) (US), Altair Engineering, Inc. (US), Alteryx Inc. (US), MathWorks (Australia), SAS Institute Inc. (US), RapidMiner Inc. (US), Cloudera Inc. (US), Anaconda Inc. (US), Wolfram (US), Dataiku (US), Civis Analytics (US), H2O.ai. (US), Domino Data Lab
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Different global regions such as North America, Latin America, Asia-Pacific, Europe, and India have been analyzed on the basis of the manufacturing base, productivity, and profit margin. This Data Science and Machine-Learning Platforms market research report has been scrutinized on the basis of different practical oriented case studies from various industry experts and policymakers. It uses numerous graphical presentation techniques such as tables, charts, graphs, pictures and flowchart for easy and better understanding to the readers.
Different internal and external factors such as, Data Science and Machine-Learning Platforms Market have been elaborated which are responsible for driving or restraining the progress of the companies. To discover the global opportunities different methodologies have been included to increase customers rapidly.
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Table of Content:
Global Data Science and Machine-Learning Platforms Market Research Report 2020-2026
Chapter 1: Industry Overview
Chapter 2: Data Science and Machine-Learning Platforms Market International and China Market Analysis
Chapter 3: Environment Analysis of Data Science and Machine-Learning Platforms.
Chapter 4: Analysis of Revenue by Classifications
Chapter 5: Analysis of Revenue by Regions and Applications
Chapter 6: Analysis of Data Science and Machine-Learning Platforms Market Revenue Market Status.
Chapter 7: Analysis of Data Science and Machine-Learning Platforms Industry Key Manufacturers
Chapter 8: Sales Price and Gross Margin Analysis
Chapter 9: Marketing Trader or Distributor Analysis of Data Science and Machine-Learning Platforms.
Chapter 10: Development Trend of Data Science and Machine-Learning Platforms Market 2020-2026.
Chapter 11: Industry Chain Suppliers of Data Science and Machine-Learning Platforms with Contact Information.
Chapter 12: New Project Investment Feasibility Analysis of Market.
Chapter 13: Conclusion of the Data Science and Machine-Learning Platforms Market Industry 2025 Market Research Report.
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