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Global Data science platform Market Trend and Development Strategy Analysis 2023-2029

Global Data science platform Market Trend and Development Strategy Analysis 2023-2029

Report Code: KNJ1762344 | No. of Pages: 115 | Category: Security and Intelligence Systems
Publisher: Arsta Research | Date of Publish: Mar-2024 
The global Data science platform market size in 2022 is 2619.4 million US dollars, and it is expected to be 14745.7 million US dollars by 2029, with a compound annual growth rate of 28.00% expected in 2023-2029.

MARKET COMPETITIVE LANDSCAPE:
The main players in the Data science platform market include IBM (U.S.), DataRobot Inc., (U.S.), apheris AI GmbH (Germany), The Digital Talent Ecosystem (U.S.), and Databand (Israel). The share of the top 3 players in the Data science platform market is XX%.

REGION SHARE:
The report covers the market size information of North America, Europe, Asia Pacific, Latin America, Middle East and Africa, in which North America accounted for XX%, Europe accounted for XX% of Data science platform market, and Asia Pacific accounted for XX%.

SEGMENT OVERVIEW:
The report segments the market by Type and Application. On-Premises accounted for XX% of Data science platform market in 2022. Cloud based share of XX%.
Small and Medium-sized Enterprises (SMEs) accounted for XX% of the Data science platform market in 2022. Large Enterprises accounts for XX%.

Competitive analysis such as market structure, market share by key players, player positioning, top winning strategies, competitive dashboard, and company evaluation quadrant has been covered in the report. Also, detailed profiles of all major companies have been provided. 

COVID-19 Impact:
Outbreak of COVID-19 pandemic due to lockdown restrictions imposed by governments around the world has affected the growth of the global Data science platform market in 2020. The containment measures taken by the governments of various countries in response to control the outbreak of COVID-19 disrupted the entire supply chain by creating logistical interruptions, transportation restrictions, and product supply across borders.

The report analyzes the key trends in each segment of the global Data science platform market along with global and country-level forecasts from 2023 to 2028. Our report segments the market based on types and applications, thereby providing a detailed analysis of the market to help gain an in-depth understanding of the market and enable market participants, stakeholders, investors, etc. to have a clearer understanding of the market and judgment.

Key benefits to stakeholders:
The report provides a comprehensive quantitative analysis of various segments, historical and current market trends, market forecasts, and dynamics of the Data science platform market for 2017-2028.
The research report provides the latest information on the market drivers, challenges and opportunities of the global Data science platform market.
The study profiles the leading as well as the fastest growing regional markets. It further enables stakeholders to identify key country-level markets within each region.
Porter's Five Forces Analysis helps stakeholders assess the impact of new entrants, competitors, supplier strength, buyer strength, and threat of substitution. It helps stakeholders analyze the level of competition in the Data science platform industry and its attractiveness.
The competitive landscape enables stakeholders to understand their competitive environment and gain insight into the current position of the key players in the market.

Chapter Outline
   Chapter 1: Introduces the product overview, market scope, economic analysis of global regions, and industry dynamic analysis, and then includes inflation analysis, the impact of the Russo-Ukrainian war on the market, and the global impact of the coronavirus disease (COVID-19).
   Chapters 2-4: Segmented the global Data science platform market by type, application and region. Analyze the revenue, sales and price of market segments from different perspectives.
   Chapters 5-9: Provide North America, Europe, Asia-Pacific, Latin America and Middle East & Africa Data science platform market region sales and revenue data, and includes PEST Analysis.
   Chapter 10: Analysis of the competitive environment of Data science platform market participants. This mainly includes the revenue, sales, market share, and average price of the top players, along with the players' M&A and New Entrants and Expansion Plans.
   Chapter 11: Analyzes the main companies in the Data science platform industry, including their main businesses, products/services, sales, prices, revenue, gross margin, and the latest developments.
   Chapter 12: Analyzes the Data science platform manufacturing cost, including raw material analysis, manufacturing cost structure, and industrial chain.
   Chapter 13: Analyzes the Data science platform industry chain, including marketing channels, distributors and major downstream buyers.
   Chapters 14-16: Provide detailed Data science platform market forecast data, broken down by type, application,  and region to help understand future growth trends.
   Chapter 17: The main points and conclusions of the report.
   Chapter 18: Concludes with an explanation of the data sources and research methods. 

Highlights-Regions

North America
   United States
   Canada
Europe
   Germany
   France
   UK
   Italy
   Russia
   Spain
   Nordic
Asia Pacific
   China
   Japan
   South Korea
   India
   Southeast Asia
   Australia
Latin America
   Brazil
   Mexico
   Argentina
Middle East & Africa
   Egypt
   South Africa
   UAE
   Turkey
   Saudi Arabia

Player list
	   IBM (U.S.)
	   DataRobot Inc., (U.S.)
	   apheris AI GmbH (Germany)
	   The Digital Talent Ecosystem (U.S.)
	   Databand (Israel)
	   dotData (U.S.)
	   Explorium Inc., (U.S.)
	   Noogata (Israel)
	   Tecton Inc., (U.S.)
	   Spell Designs Pty Ltd (U.S.)
	   Arrikto Inc., (U.S.)
	   Iterative (U.S.)
	   Google Inc (U.S.)
	   Microsoft (U.S.)
	   SAS Institute Inc., (U.S.)
	   Amazon Web Services, Inc. (U.S.)
	   The MathWorks, Inc. (U.S.)
	   Cloudera Inc., (U.S.)
	   Teradata (U.S.)
	   TIBCO Software Inc. (U.S.)
	   ALTERYX, INC. (U.S.)
	   RapidMiner (U.S.), Databricks (U.S.)
	   Snowflake Inc., (U.S.)
	   H2O.ai (U.S.)
	   Altair Inc., (U.S.)
	   Anaconda Inc., (U.S.)
	   SAP SE (U.S.)
	   Domino Data Lab Inc., (U.S.)
	   Dataiku (U.S.)

Types list
	   On-Premises
	   Cloud based

Application list
   	Small and Medium-sized Enterprises (SMEs)
   	Large Enterprises
Table of Content

1 Data science platform Market Introduction and Overview
1.1 Data science platform Definition
1.2 Research Purposes
1.3 Report Timeline
1.4 Economic Analysis of Global Regions
1.5 Data science platform Industry Dynamic Analysis
1.5.1 Data science platform Market Trends Analysis
1.5.2 Data science platform Market Drivers Analysis
1.5.3 Data science platform Market Challenges Analysis
1.5.4 Data science platform Market Restraints Analysis
1.6 Inflation Analysis
1.7 The Impact of the Russian-Ukrainian War on the Market
1.8 Coronavirus Disease 2020 (COVID-19) Impact on Global
2 Global Data science platform Market Insights by Type
2.1 Market Size Insights by Types
2.2 Global Data science platform Revenue and Share by Type
2.3 Global Data science platform Sales and Share by Type
3 Global Data science platform Market Insights by Application
3.1 Market Size Insights by Application
3.2 Global Data science platform Revenue and Share by Application (2018-2023)
3.3 Global Data science platform Sales and Share by Application (2018-2023)
4 Global Market Growth Insights
4.1 Global Data science platform Market Size (2018-2023)
4.2 Data science platform Growth Insights by Regions
4.2.1 Data science platform Market Size by Regions: 2018 VS 2023 VS 2029
4.2.2 Data science platform Revenue Market Size by Regions (2018-2023)
4.2.3 Data science platform Sales Market Size by Regions (2018-2023)
4.2.4 North America Data science platform Market Size (2018-2023)
4.2.5 Europe Data science platform Market Size (2018-2023)
4.2.6 Asia-Pacific Data science platform Market Size (2018-2023)
4.2.7 Latin America Data science platform Market Size (2018-2023)
4.2.8 Middle East & Africa Data science platform Market Size (2018-2023)
5 North America
5.1 North America Data science platform Revenue by Countries
5.1.1 North America Data science platform Revenue by Countries (2018-2023)
5.1.2 North America Data science platform Sales by Countries (2018-2023)
5.2 North America PEST Analysis
5.3 United States
5.4 Canada
6 Asia Pacific
6.1 Asia Pacific Data science platform Revenue by Countries
6.1.1 Asia Pacific Data science platform Revenue by Countries (2018-2023)
6.1.2 Asia Pacific Data science platform Sales by Countries (2018-2023)
6.2 Asia-Pacific PEST Analysis
6.3 China
6.4 Japan
6.5 Korea
6.6 Southeast Asia
6.7 India
6.8 Australia
7 Europe
7.1 Europe Data science platform Revenue by Countries
7.1.1 Europe Data science platform Revenue by Countries (2018-2023)
7.1.2 Europe Data science platform Sales by Countries (2018-2023)
7.2 Europe PEST Analysis
7.3 Germany
7.4 France
7.5 UK
7.6 Italy
7.7 Russia
7.8 Spain
7.9 Nordic
8 Latin America
8.1 Latin America Data science platform Revenue by Countries
8.1.1 Latin America Data science platform Revenue by Countries (2018-2023)
8.1.2 Latin America Data science platform Sales by Countries (2018-2023)
8.2 Latin America PEST Analysis
8.3 Brazil
8.4 Argentina
8.5 Mexico
9 Middle East & Africa
9.1 Middle East & Africa Data science platform Revenue by Countries
9.1.1 Middle East & Africa Data science platform Revenue by Countries (2018-2023)
9.1.2 Middle East & Africa Data science platform Sales by Countries (2018-2023)
9.2 Middle East & Africa PEST Analysis
9.3 Egypt
9.4 South Africa
9.5 UAE
9.6 Turkey
9.7 Saudi Arabia
10 Global Data science platform Market Competition, by Players
10.1 Global Data science platform Revenue and Market Share by Players
10.2 Market Concentration Rate
10.2.1 Top 3 Data science platform Players Market Share in 2022
10.2.2 Top 6 Data science platform Players Market Share in 2022
10.2.3 Market Competition Trend
10.3 Data science platform Players Head Office, Business Provided
10.4 Data science platform Mergers & Acquisitions
10.5 Data science platform New Entrants and Expansion Plans
11 Players Profiles
11.1 IBM (U.S.)
11.1.1 IBM (U.S.) Company Profile
11.1.2 Data science platform Product Overview
11.1.3 IBM (U.S.) Data science platform Market Performance (2018-2023)
11.1.4 IBM (U.S.) Business Overview
11.1.5 Recent Developments and Plans
11.2 DataRobot Inc., (U.S.)
11.2.1 DataRobot Inc., (U.S.) Company Profile
11.2.2 Data science platform Product Overview
11.2.3 DataRobot Inc., (U.S.) Data science platform Market Performance (2018-2023)
11.2.4 DataRobot Inc., (U.S.) Business Overview
11.2.5 Recent Developments and Plans
11.3 apheris AI GmbH (Germany)
11.3.1 apheris AI GmbH (Germany) Company Profile
11.3.2 Data science platform Product Overview
11.3.3 apheris AI GmbH (Germany) Data science platform Market Performance (2018-2023)
11.3.4 apheris AI GmbH (Germany) Business Overview
11.3.5 Recent Developments and Plans
11.4 The Digital Talent Ecosystem (U.S.)
11.4.1 The Digital Talent Ecosystem (U.S.) Company Profile
11.4.2 Data science platform Product Overview
11.4.3 The Digital Talent Ecosystem (U.S.) Data science platform Market Performance (2018-2023)
11.4.4 The Digital Talent Ecosystem (U.S.) Business Overview
11.4.5 Recent Developments and Plans
11.5 Databand (Israel)
11.5.1 Databand (Israel) Company Profile
11.5.2 Data science platform Product Overview
11.5.3 Databand (Israel) Data science platform Market Performance (2018-2023)
11.5.4 Databand (Israel) Business Overview
11.5.5 Recent Developments and Plans
11.6 dotData (U.S.)
11.6.1 dotData (U.S.) Company Profile
11.6.2 Data science platform Product Overview
11.6.3 dotData (U.S.) Data science platform Market Performance (2018-2023)
11.6.4 dotData (U.S.) Business Overview
11.6.5 Recent Developments and Plans
11.7 Explorium Inc., (U.S.)
11.7.1 Explorium Inc., (U.S.) Company Profile
11.7.2 Data science platform Product Overview
11.7.3 Explorium Inc., (U.S.) Data science platform Market Performance (2018-2023)
11.7.4 Explorium Inc., (U.S.) Business Overview
11.7.5 Recent Developments and Plans
11.8 Noogata (Israel)
11.8.1 Noogata (Israel) Company Profile
11.8.2 Data science platform Product Overview
11.8.3 Noogata (Israel) Data science platform Market Performance (2018-2023)
11.8.4 Noogata (Israel) Business Overview
11.8.5 Recent Developments and Plans
11.9 Tecton Inc., (U.S.)
11.9.1 Tecton Inc., (U.S.) Company Profile
11.9.2 Data science platform Product Overview
11.9.3 Tecton Inc., (U.S.) Data science platform Market Performance (2018-2023)
11.9.4 Tecton Inc., (U.S.) Business Overview
11.9.5 Recent Developments and Plans
11.10 Spell Designs Pty Ltd (U.S.)
11.10.1 Spell Designs Pty Ltd (U.S.) Company Profile
11.10.2 Data science platform Product Overview
11.10.3 Spell Designs Pty Ltd (U.S.) Data science platform Market Performance (2018-2023)
11.10.4 Spell Designs Pty Ltd (U.S.) Business Overview
11.10.5 Recent Developments and Plans
11.11 Arrikto Inc., (U.S.)
11.11.1 Arrikto Inc., (U.S.) Company Profile
11.11.2 Data science platform Product Overview
11.11.3 Arrikto Inc., (U.S.) Data science platform Market Performance (2018-2023)
11.11.4 Arrikto Inc., (U.S.) Business Overview
11.11.5 Recent Developments and Plans
11.12 Iterative (U.S.)
11.12.1 Iterative (U.S.) Company Profile
11.12.2 Data science platform Product Overview
11.12.3 Iterative (U.S.) Data science platform Market Performance (2018-2023)
11.12.4 Iterative (U.S.) Business Overview
11.12.5 Recent Developments and Plans
11.13 Google Inc (U.S.)
11.13.1 Google Inc (U.S.) Company Profile
11.13.2 Data science platform Product Overview
11.13.3 Google Inc (U.S.) Data science platform Market Performance (2018-2023)
11.13.4 Google Inc (U.S.) Business Overview
11.13.5 Recent Developments and Plans
11.14 Microsoft (U.S.)
11.14.1 Microsoft (U.S.) Company Profile
11.14.2 Data science platform Product Overview
11.14.3 Microsoft (U.S.) Data science platform Market Performance (2018-2023)
11.14.4 Microsoft (U.S.) Business Overview
11.14.5 Recent Developments and Plans
11.15 SAS Institute Inc., (U.S.)
11.15.1 SAS Institute Inc., (U.S.) Company Profile
11.15.2 Data science platform Product Overview
11.15.3 SAS Institute Inc., (U.S.) Data science platform Market Performance (2018-2023)
11.15.4 SAS Institute Inc., (U.S.) Business Overview
11.15.5 Recent Developments and Plans
11.16 Amazon Web Services, Inc. (U.S.)
11.16.1 Amazon Web Services, Inc. (U.S.) Company Profile
11.16.2 Data science platform Product Overview
11.16.3 Amazon Web Services, Inc. (U.S.) Data science platform Market Performance (2018-2023)
11.16.4 Amazon Web Services, Inc. (U.S.) Business Overview
11.16.5 Recent Developments and Plans
11.17 The MathWorks, Inc. (U.S.)
11.17.1 The MathWorks, Inc. (U.S.) Company Profile
11.17.2 Data science platform Product Overview
11.17.3 The MathWorks, Inc. (U.S.) Data science platform Market Performance (2018-2023)
11.17.4 The MathWorks, Inc. (U.S.) Business Overview
11.17.5 Recent Developments and Plans
11.18 Cloudera Inc., (U.S.)
11.18.1 Cloudera Inc., (U.S.) Company Profile
11.18.2 Data science platform Product Overview
11.18.3 Cloudera Inc., (U.S.) Data science platform Market Performance (2018-2023)
11.18.4 Cloudera Inc., (U.S.) Business Overview
11.18.5 Recent Developments and Plans
11.19 Teradata (U.S.)
11.19.1 Teradata (U.S.) Company Profile
11.19.2 Data science platform Product Overview
11.19.3 Teradata (U.S.) Data science platform Market Performance (2018-2023)
11.19.4 Teradata (U.S.) Business Overview
11.19.5 Recent Developments and Plans
11.20 TIBCO Software Inc. (U.S.)
11.20.1 TIBCO Software Inc. (U.S.) Company Profile
11.20.2 Data science platform Product Overview
11.20.3 TIBCO Software Inc. (U.S.) Data science platform Market Performance (2018-2023)
11.20.4 TIBCO Software Inc. (U.S.) Business Overview
11.20.5 Recent Developments and Plans
11.21 ALTERYX, INC. (U.S.)
11.21.1 ALTERYX, INC. (U.S.) Company Profile
11.21.2 Data science platform Product Overview
11.21.3 ALTERYX, INC. (U.S.) Data science platform Market Performance (2018-2023)
11.21.4 ALTERYX, INC. (U.S.) Business Overview
11.21.5 Recent Developments and Plans
11.22 RapidMiner (U.S.), Databricks (U.S.)
11.22.1 RapidMiner (U.S.), Databricks (U.S.) Company Profile
11.22.2 Data science platform Product Overview
11.22.3 RapidMiner (U.S.), Databricks (U.S.) Data science platform Market Performance (2018-2023)
11.22.4 RapidMiner (U.S.), Databricks (U.S.) Business Overview
11.22.5 Recent Developments and Plans
11.23 Snowflake Inc., (U.S.)
11.23.1 Snowflake Inc., (U.S.) Company Profile
11.23.2 Data science platform Product Overview
11.23.3 Snowflake Inc., (U.S.) Data science platform Market Performance (2018-2023)
11.23.4 Snowflake Inc., (U.S.) Business Overview
11.23.5 Recent Developments and Plans
11.24 H2O.ai (U.S.)
11.24.1 H2O.ai (U.S.) Company Profile
11.24.2 Data science platform Product Overview
11.24.3 H2O.ai (U.S.) Data science platform Market Performance (2018-2023)
11.24.4 H2O.ai (U.S.) Business Overview
11.24.5 Recent Developments and Plans
11.25 Altair Inc., (U.S.)
11.25.1 Altair Inc., (U.S.) Company Profile
11.25.2 Data science platform Product Overview
11.25.3 Altair Inc., (U.S.) Data science platform Market Performance (2018-2023)
11.25.4 Altair Inc., (U.S.) Business Overview
11.25.5 Recent Developments and Plans
11.26 Anaconda Inc., (U.S.)
11.26.1 Anaconda Inc., (U.S.) Company Profile
11.26.2 Data science platform Product Overview
11.26.3 Anaconda Inc., (U.S.) Data science platform Market Performance (2018-2023)
11.26.4 Anaconda Inc., (U.S.) Business Overview
11.26.5 Recent Developments and Plans
11.27 SAP SE (U.S.)
11.27.1 SAP SE (U.S.) Company Profile
11.27.2 Data science platform Product Overview
11.27.3 SAP SE (U.S.) Data science platform Market Performance (2018-2023)
11.27.4 SAP SE (U.S.) Business Overview
11.27.5 Recent Developments and Plans
11.28 Domino Data Lab Inc., (U.S.)
11.28.1 Domino Data Lab Inc., (U.S.) Company Profile
11.28.2 Data science platform Product Overview
11.28.3 Domino Data Lab Inc., (U.S.) Data science platform Market Performance (2018-2023)
11.28.4 Domino Data Lab Inc., (U.S.) Business Overview
11.28.5 Recent Developments and Plans
11.29 Dataiku (U.S.)
11.29.1 Dataiku (U.S.) Company Profile
11.29.2 Data science platform Product Overview
11.29.3 Dataiku (U.S.) Data science platform Market Performance (2018-2023)
11.29.4 Dataiku (U.S.) Business Overview
11.29.5 Recent Developments and Plans
12 Data science platform Manufacturing Cost Analysis
12.1 Data science platform Key Raw Materials Analysis
12.1.1 Key Raw Materials
12.1.2 Price Trend of Key Raw Materials
12.1.3 Key Suppliers of Raw Materials
12.2 Proportion of Manufacturing Cost Structure
12.2.1 Raw Materials
12.2.2 Labor Cost
12.2.3 Manufacturing Expenses
12.3 Manufacturing Process Analysis of Data science platform
12.4 Data science platform Industrial Chain Analysis
13 Market Channel, Distributors, Traders and Dealers
13.1 Market Channel Status
13.1.1 Direct Marketing
13.1.2 Indirect Marketing
13.2 Data science platform Typical Distributors
13.3 Data science platform Typical Customers
14 Global Data science platform Forecast Market Insights by Type
14.1 Global Data science platform Revenue Market Forecast by Type (2023-2029)
14.2 Global Data science platform Sales Market Forecast by Type (2023-2029)
15 Global Data science platform Forecast Market Insights by Application
15.1 Data science platform Revenue Market Forecast by Application (2023-2029)
15.2 Data science platform Sales Market Forecast by Application (2023-2029)
16 Global Market Growth Forecast Insights
16.1 Global Data science platform Forecast Market Size (2023-2029)
16.2 Data science platform Growth Forecast Insights by Regions
16.2.1 Data science platform Revenue Forecast Market Size by Regions (2023-2029)
16.2.2 Data science platform Sales Forecast Market Size by Regions (2023-2029)
16.2.3 North America Data science platform Forecast Market Size (2023-2029)
16.2.4 Europe Data science platform Forecast Market Size (2023-2029)
16.2.5 Asia-Pacific Data science platform Forecast Market Size (2023-2029)
16.2.6 Latin America Data science platform Forecast Market Size (2023-2029)
16.2.7 Middle East & Africa Data science platform Forecast Market Size (2023-2029)
17 Research Findings and Conclusion
18 Methodology and Data Source
18.1 A Methodology
18.1.1 Research Process
18.1.2 Market Size Estimation
18.1.3 Market Breakdown and Data Triangulation
18.2 B Data Source
18.2.1 Legal Disclaimer

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