Global Data science platform Supply and Demand Trends and Corporate Competitiveness Research Report
Report Code: KNJ1734172 No. of Pages: 107 Category: Security and Intelligence Systems
Publisher: Date of Publish:
Publisher: Date of Publish:
Market Analysis and Insights: Global Data science platform Market 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%. With industry-standard accuracy in analysis and high data integrity, the report makes a brilliant attempt to unveil key opportunities available in the global Data science platform market to help players in achieving a strong market position. Buyers of the report can access verified and reliable market forecasts, including those for the overall size of the global Data science platform market in terms of revenue. On the whole, the report proves to be an effective tool that players can use to gain a competitive edge over their competitors and ensure lasting success in the global Data science platform market. All of the findings, data, and information provided in the report are validated and revalidated with the help of trustworthy sources. The analysts who have authored the report took a unique and industry-best research and analysis approach for an in-depth study of the global Data science platform market. Global Data science platform Scope and Market Size Data science platform market is segmented by company, region (country), by Type, and by Application. Players, stakeholders, and other participants in the global Data science platform market will be able to gain the upper hand as they use the report as a powerful resource. The impact of the outbreak of COVID-19 and the Russia-Ukraine War on the Data science platform industry is considered in the report, covering the dynamic analysis of the development of the Data science platform industry, including trends, technologies, opportunities, constraints. To ensure report buyers are able to gain in-depth knowledge of the market. Chapter Outline Chapter 1: Introduces the product overview, market scope, product classification, application, and regional division, 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). Chapter 2: Analysis of the competitive environment of Data science platform market participants. This mainly includes the revenue, production, market share, and average price of the top players, along with the players' M&A and expansion in recent years. Chapter 3: Analyzes the main companies in the Data science platform industry, including their main businesses, products/services, production, prices, value, gross margin, and the latest developments. Chapters 4-5: Segmented the global Data science platform market by type, and application. Analyze the value, volume and price of market segments from different perspectives. Chapters 6-7: Provide global Data science platform market production status, consumption status and SWOT Analysis by region. Chapter 8: Analyzes the Data science platform industry chain, including raw material analysis, sales and marketing, distributors and major downstream buyers. Chapter 9: Introduces the market dynamics, the trends factors and drivers factors of the market, and the challenges and restraints faced by manufacturers in the industry, and includes market technology analysis. Chapter 10: The main points and conclusions of the report. Chapter 11: 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 Study Coverage 1.1 Data science platform Product Introduction 1.2 Market by Type 1.2.1 Global Data science platform Market Size Growth Rate by Type, 2018 VS 2023 VS 2029 1.3 Market by Application 1.3.1 Global Data science platform Market Size Growth Rate by Application, 2018 VS 2023 VS 2029 1.4 Study Objectives 1.5 Years Considered 1.6 Inflation Analysis 1.7 The Impact of the Russian-Ukrainian War on the Market 1.8 Coronavirus Disease (COVID-19) Impact on Global 2 Competition by Players 2.1 Global Data science platform Production by Players 2.1.1 Global Data science platform Production by Players (2018-2023) 2.1.2 Global Data science platform Production Market Share by Players (2018-2023) 2.1.3 Global Top 5 and Top 10 Largest Players of Data science platform in 2023 2.2 Global Data science platform Revenue by Players 2.2.1 Global Data science platform Revenue by Players (2018-2023) 2.2.2 Global Data science platform Revenue Market Share by Players (2018-2023) 2.2.3 Global Top 5 and Top 10 Companies by Data science platform Revenue in 2023 2.3 Global Data science platform Production Price by Players 2.4 Analysis of Competitive Landscape 2.4.1 Players Market Concentration Ratio (CR5) 2.4.2 Global Data science platform Players Geographical Distribution 2.5 Mergers & Acquisitions, Expansion Plans 3 Company Overview 3.1 IBM (U.S.) 3.1.1 IBM (U.S.) Information 3.1.2 IBM (U.S.) Overview 3.1.3 IBM (U.S.) Data science platform Production, Price, Value and Gross Margin (2018-2023) 3.1.4 IBM (U.S.) Related Developments 3.2 DataRobot Inc., (U.S.) 3.2.1 DataRobot Inc., (U.S.) Information 3.2.2 DataRobot Inc., (U.S.) Overview 3.2.3 DataRobot Inc., (U.S.) Data science platform Production, Price, Value and Gross Margin (2018-2023) 3.2.4 DataRobot Inc., (U.S.) Related Developments 3.3 apheris AI GmbH (Germany) 3.3.1 apheris AI GmbH (Germany) Information 3.3.2 apheris AI GmbH (Germany) Overview 3.3.3 apheris AI GmbH (Germany) Data science platform Production, Price, Value and Gross Margin (2018-2023) 3.3.4 apheris AI GmbH (Germany) Related Developments 3.4 The Digital Talent Ecosystem (U.S.) 3.4.1 The Digital Talent Ecosystem (U.S.) Information 3.4.2 The Digital Talent Ecosystem (U.S.) Overview 3.4.3 The Digital Talent Ecosystem (U.S.) Data science platform Production, Price, Value and Gross Margin (2018-2023) 3.4.4 The Digital Talent Ecosystem (U.S.) Related Developments 3.5 Databand (Israel) 3.5.1 Databand (Israel) Information 3.5.2 Databand (Israel) Overview 3.5.3 Databand (Israel) Data science platform Production, Price, Value and Gross Margin (2018-2023) 3.5.4 Databand (Israel) Related Developments 3.6 dotData (U.S.) 3.6.1 dotData (U.S.) Information 3.6.2 dotData (U.S.) Overview 3.6.3 dotData (U.S.) Data science platform Production, Price, Value and Gross Margin (2018-2023) 3.6.4 dotData (U.S.) Related Developments 3.7 Explorium Inc., (U.S.) 3.7.1 Explorium Inc., (U.S.) Information 3.7.2 Explorium Inc., (U.S.) Overview 3.7.3 Explorium Inc., (U.S.) Data science platform Production, Price, Value and Gross Margin (2018-2023) 3.7.4 Explorium Inc., (U.S.) Related Developments 3.8 Noogata (Israel) 3.8.1 Noogata (Israel) Information 3.8.2 Noogata (Israel) Overview 3.8.3 Noogata (Israel) Data science platform Production, Price, Value and Gross Margin (2018-2023) 3.8.4 Noogata (Israel) Related Developments 3.9 Tecton Inc., (U.S.) 3.9.1 Tecton Inc., (U.S.) Information 3.9.2 Tecton Inc., (U.S.) Overview 3.9.3 Tecton Inc., (U.S.) Data science platform Production, Price, Value and Gross Margin (2018-2023) 3.9.4 Tecton Inc., (U.S.) Related Developments 3.10 Spell Designs Pty Ltd (U.S.) 3.10.1 Spell Designs Pty Ltd (U.S.) Information 3.10.2 Spell Designs Pty Ltd (U.S.) Overview 3.10.3 Spell Designs Pty Ltd (U.S.) Data science platform Production, Price, Value and Gross Margin (2018-2023) 3.10.4 Spell Designs Pty Ltd (U.S.) Related Developments 3.11 Arrikto Inc., (U.S.) 3.11.1 Arrikto Inc., (U.S.) Information 3.11.2 Arrikto Inc., (U.S.) Overview 3.11.3 Arrikto Inc., (U.S.) Data science platform Production, Price, Value and Gross Margin (2018-2023) 3.11.4 Arrikto Inc., (U.S.) Related Developments 3.12 Iterative (U.S.) 3.12.1 Iterative (U.S.) Information 3.12.2 Iterative (U.S.) Overview 3.12.3 Iterative (U.S.) Data science platform Production, Price, Value and Gross Margin (2018-2023) 3.12.4 Iterative (U.S.) Related Developments 3.13 Google Inc (U.S.) 3.13.1 Google Inc (U.S.) Information 3.13.2 Google Inc (U.S.) Overview 3.13.3 Google Inc (U.S.) Data science platform Production, Price, Value and Gross Margin (2018-2023) 3.13.4 Google Inc (U.S.) Related Developments 3.14 Microsoft (U.S.) 3.14.1 Microsoft (U.S.) Information 3.14.2 Microsoft (U.S.) Overview 3.14.3 Microsoft (U.S.) Data science platform Production, Price, Value and Gross Margin (2018-2023) 3.14.4 Microsoft (U.S.) Related Developments 3.15 SAS Institute Inc., (U.S.) 3.15.1 SAS Institute Inc., (U.S.) Information 3.15.2 SAS Institute Inc., (U.S.) Overview 3.15.3 SAS Institute Inc., (U.S.) Data science platform Production, Price, Value and Gross Margin (2018-2023) 3.15.4 SAS Institute Inc., (U.S.) Related Developments 3.16 Amazon Web Services, Inc. (U.S.) 3.16.1 Amazon Web Services, Inc. (U.S.) Information 3.16.2 Amazon Web Services, Inc. (U.S.) Overview 3.16.3 Amazon Web Services, Inc. (U.S.) Data science platform Production, Price, Value and Gross Margin (2018-2023) 3.16.4 Amazon Web Services, Inc. (U.S.) Related Developments 3.17 The MathWorks, Inc. (U.S.) 3.17.1 The MathWorks, Inc. (U.S.) Information 3.17.2 The MathWorks, Inc. (U.S.) Overview 3.17.3 The MathWorks, Inc. (U.S.) Data science platform Production, Price, Value and Gross Margin (2018-2023) 3.17.4 The MathWorks, Inc. (U.S.) Related Developments 3.18 Cloudera Inc., (U.S.) 3.18.1 Cloudera Inc., (U.S.) Information 3.18.2 Cloudera Inc., (U.S.) Overview 3.18.3 Cloudera Inc., (U.S.) Data science platform Production, Price, Value and Gross Margin (2018-2023) 3.18.4 Cloudera Inc., (U.S.) Related Developments 3.19 Teradata (U.S.) 3.19.1 Teradata (U.S.) Information 3.19.2 Teradata (U.S.) Overview 3.19.3 Teradata (U.S.) Data science platform Production, Price, Value and Gross Margin (2018-2023) 3.19.4 Teradata (U.S.) Related Developments 3.20 TIBCO Software Inc. (U.S.) 3.20.1 TIBCO Software Inc. (U.S.) Information 3.20.2 TIBCO Software Inc. (U.S.) Overview 3.20.3 TIBCO Software Inc. (U.S.) Data science platform Production, Price, Value and Gross Margin (2018-2023) 3.20.4 TIBCO Software Inc. (U.S.) Related Developments 3.21 ALTERYX, INC. (U.S.) 3.21.1 ALTERYX, INC. (U.S.) Information 3.21.2 ALTERYX, INC. (U.S.) Overview 3.21.3 ALTERYX, INC. (U.S.) Data science platform Production, Price, Value and Gross Margin (2018-2023) 3.21.4 ALTERYX, INC. (U.S.) Related Developments 3.22 RapidMiner (U.S.), Databricks (U.S.) 3.22.1 RapidMiner (U.S.), Databricks (U.S.) Information 3.22.2 RapidMiner (U.S.), Databricks (U.S.) Overview 3.22.3 RapidMiner (U.S.), Databricks (U.S.) Data science platform Production, Price, Value and Gross Margin (2018-2023) 3.22.4 RapidMiner (U.S.), Databricks (U.S.) Related Developments 3.23 Snowflake Inc., (U.S.) 3.23.1 Snowflake Inc., (U.S.) Information 3.23.2 Snowflake Inc., (U.S.) Overview 3.23.3 Snowflake Inc., (U.S.) Data science platform Production, Price, Value and Gross Margin (2018-2023) 3.23.4 Snowflake Inc., (U.S.) Related Developments 3.24 H2O.ai (U.S.) 3.24.1 H2O.ai (U.S.) Information 3.24.2 H2O.ai (U.S.) Overview 3.24.3 H2O.ai (U.S.) Data science platform Production, Price, Value and Gross Margin (2018-2023) 3.24.4 H2O.ai (U.S.) Related Developments 3.25 Altair Inc., (U.S.) 3.25.1 Altair Inc., (U.S.) Information 3.25.2 Altair Inc., (U.S.) Overview 3.25.3 Altair Inc., (U.S.) Data science platform Production, Price, Value and Gross Margin (2018-2023) 3.25.4 Altair Inc., (U.S.) Related Developments 3.26 Anaconda Inc., (U.S.) 3.26.1 Anaconda Inc., (U.S.) Information 3.26.2 Anaconda Inc., (U.S.) Overview 3.26.3 Anaconda Inc., (U.S.) Data science platform Production, Price, Value and Gross Margin (2018-2023) 3.26.4 Anaconda Inc., (U.S.) Related Developments 3.27 SAP SE (U.S.) 3.27.1 SAP SE (U.S.) Information 3.27.2 SAP SE (U.S.) Overview 3.27.3 SAP SE (U.S.) Data science platform Production, Price, Value and Gross Margin (2018-2023) 3.27.4 SAP SE (U.S.) Related Developments 3.28 Domino Data Lab Inc., (U.S.) 3.28.1 Domino Data Lab Inc., (U.S.) Information 3.28.2 Domino Data Lab Inc., (U.S.) Overview 3.28.3 Domino Data Lab Inc., (U.S.) Data science platform Production, Price, Value and Gross Margin (2018-2023) 3.28.4 Domino Data Lab Inc., (U.S.) Related Developments 3.29 Dataiku (U.S.) 3.29.1 Dataiku (U.S.) Information 3.29.2 Dataiku (U.S.) Overview 3.29.3 Dataiku (U.S.) Data science platform Production, Price, Value and Gross Margin (2018-2023) 3.29.4 Dataiku (U.S.) Related Developments 4 Market Size by Type 4.1 Global Data science platform Production by Type 4.1.1 Global Data science platform Production by Type (2018-2023) 4.1.2 Global Data science platform Forecasted Production by Type (2023-2029) 4.2 Global Data science platform Value by Type 4.2.1 Global Data science platform Value by Type (2018-2023) 4.2.2 Global Data science platform Forecasted Value by Type (2023-2029) 4.3 Global Data science platform Price by Type 4.3.1 Global Data science platform Price by Type (2018-2023) 4.3.2 Global Data science platform Price Forecast by Type (2023-2029) 5 Market Size by Application 5.1 Global Data science platform Consumption by Application 5.1.1 Global Data science platform Consumption by Application (2018-2023) 5.1.2 Global Data science platform Forecasted Consumption by Application (2023-2029) 5.2 Global Data science platform Revenue by Application 5.2.1 Global Data science platform Revenue by Application (2018-2023) 5.2.2 Global Data science platform Forecasted Revenue by Application (2023-2029) 5.3 Global Data science platform Price by Application 5.3.1 Global Data science platform Price by Application (2018-2023) 5.3.2 Global Data science platform Price Forecast by Application (2023-2029) 6 Global Data science platform Production 6.1 Global Data science platform Production (2018-2029) 6.2 Global Data science platform Production by Region: 2018 VS 2023 VS 2029 6.3 Global Data science platform Production by Region 6.3.1 Global Data science platform Historic Production by Region (2018-2023) 6.3.2 Global Data science platform Historic Value by Region (2018-2023) 6.3.3 Global Data science platform Forecasted Production by Region (2023-2029) 6.3.4 Global Data science platform Forecasted Value by Region (2023-2029) 6.4 North America 6.4.1 North America Data science platform Production, Price, Value and Gross Margin (2018-2023) 6.4.2 North America SWOT Analysis 6.5 Europe 6.5.1 Europe Data science platform Production, Price, Value and Gross Margin (2018-2023) 6.5.2 Europe SWOT Analysis 6.6 China 6.6.1 China Data science platform Production, Price, Value and Gross Margin (2018-2023) 6.6.2 China SWOT Analysis 6.7 Japan 6.7.1 Japan Data science platform Production, Price, Value and Gross Margin (2018-2023) 6.7.2 Japan SWOT Analysis 7 Global Data science platform Market Insights Estimates and Forecasts 7.1 Global Data science platform Sales Estimates and Forecasts 2018-2029 7.2 Global Data science platform Sales by Region: 2018 VS 2023 VS 2029 7.3 Global Data science platform Sales by Region 7.3.1 Global Data science platform Sales by Region (2018-2023) 7.3.2 Global Data science platform Sales by Region (2023-2029) 7.4 North America 7.4.1 North America Data science platform Sales by Country (2018-2029) 7.4.2 U.S. 7.4.3 Canada 7.5 Europe 7.5.1 Europe Data science platform Sales by Country (2018-2029) 7.5.2 Germany 7.5.3 France 7.5.4 U.K. 7.5.5 Italy 7.5.6 Russia 7.6 Asia-Pacific 7.6.1 Asia Pacific Data science platform Sales by Region (2018-2029) 7.6.2 China 7.6.3 Japan 7.6.4 South Korea 7.6.5 India 7.6.6 Southeast Asia 7.6.7 Australia 7.7 Latin America 7.7.1 Latin America Data science platform Sales by Country (2018-2029) 7.7.2 Mexico 7.7.3 Brazil 7.8 Middle East & Africa 7.8.1 Middle East and Africa Data science platform Sales by Country (2018-2029) 7.8.2 Turkey 7.8.3 Saudi Arabia 7.8.4 U.A.E 8 Value Chain and Channels Analysis 8.1 Data science platform Value Chain Analysis 8.2 Data science platform Key Raw Materials 8.2.1 Key Raw Materials 8.2.2 Raw Materials Key Suppliers 8.3 Data science platform Production Mode & Process 8.4 Data science platform Sales and Marketing 8.4.1 Data science platform Sales Channels 8.4.2 Data science platform Distributors 8.5 Data science platform Customers 9 Market Drivers, Opportunities, Challenges and Risks Factors Analysis 9.1 Data science platform Industry Trends 9.2 Data science platform Market Drivers 9.3 Data science platform Market Challenges 9.4 Data science platform Market Restraints 9.5 Data science platform Market Technology Analysis 10 Research Findings and Conclusion 11 Methodology and Data Source 11.1 Methodology 11.1.1 Research Process 11.1.2 Market Size Estimation 11.1.3 Market Breakdown and Data Triangulation 11.2 Data Source 11.2.1 Legal Disclaimer
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