Data Science Platform-EMEA Market Status and Trend Report 2013-2023
Report Summary
Data Science Platform-EMEA Market Status and Trend Report 2013-2023 offers a comprehensive analysis on Data Science Platform industry, standing on the readers? perspective, delivering detailed market data and penetrating insights. No matter the client is industry insider, potential entrant or investor, the report will provides useful data and information. Key questions answered by this report include:
Whole EMEA and Regional Market Size of Data Science Platform 2013-2017, and development forecast 2018-2023
Main market players of Data Science Platform in EMEA, with company and product introduction, position in the Data Science Platform market
Market status and development trend of Data Science Platform by types and applications
Cost and profit status of Data Science Platform, and marketing status
Market growth drivers and challenges
The report segments the EMEA Data Science Platform market as:
EMEA Data Science Platform Market: Regional Segment Analysis (Regional Consumption Volume, Consumption Volume, Revenue and Growth Rate 2013-2023):
Europe
Middle East
Africa
EMEA Data Science Platform Market: Product Type Segment Analysis (Consumption Volume, Average Price, Revenue, Market Share and Trend 2013-2023):
On-Premises
On-Demand
EMEA Data Science Platform Market: Application Segment Analysis (Consumption Volume and Market Share 2013-2023; Downstream Customers and Market Analysis)
Banking, Financial Services, and Insurance (BFSI)
Healthcare and Life Sciences
Information Technology and Telecom
Retail and Consumer Goods
Media and Entertainment
Manufacturing
Transportation and Logistics
Energy and Utilities
Government and Defense
Others
EMEA Data Science Platform Market: Players Segment Analysis (Company and Product introduction, Data Science Platform Sales Volume, Revenue, Price and Gross Margin):
Microsoft Corporation
IBM Corporation
Google
Wolfram
DataRobot
Sense
RapidMiner
Domino Data Lab
Dataiku
Alteryx
Continuum Analytics
In a word, the report provides detailed statistics and analysis on the state of the industry; and is a valuable source of guidance and direction for companies and individuals interested in the market.
Data Science Platform-EMEA Market Status and Trend Report 2013-2023 offers a comprehensive analysis on Data Science Platform industry, standing on the readers? perspective, delivering detailed market data and penetrating insights. No matter the client is industry insider, potential entrant or investor, the report will provides useful data and information. Key questions answered by this report include:
Whole EMEA and Regional Market Size of Data Science Platform 2013-2017, and development forecast 2018-2023
Main market players of Data Science Platform in EMEA, with company and product introduction, position in the Data Science Platform market
Market status and development trend of Data Science Platform by types and applications
Cost and profit status of Data Science Platform, and marketing status
Market growth drivers and challenges
The report segments the EMEA Data Science Platform market as:
EMEA Data Science Platform Market: Regional Segment Analysis (Regional Consumption Volume, Consumption Volume, Revenue and Growth Rate 2013-2023):
Europe
Middle East
Africa
EMEA Data Science Platform Market: Product Type Segment Analysis (Consumption Volume, Average Price, Revenue, Market Share and Trend 2013-2023):
On-Premises
On-Demand
EMEA Data Science Platform Market: Application Segment Analysis (Consumption Volume and Market Share 2013-2023; Downstream Customers and Market Analysis)
Banking, Financial Services, and Insurance (BFSI)
Healthcare and Life Sciences
Information Technology and Telecom
Retail and Consumer Goods
Media and Entertainment
Manufacturing
Transportation and Logistics
Energy and Utilities
Government and Defense
Others
EMEA Data Science Platform Market: Players Segment Analysis (Company and Product introduction, Data Science Platform Sales Volume, Revenue, Price and Gross Margin):
Microsoft Corporation
IBM Corporation
Wolfram
DataRobot
Sense
RapidMiner
Domino Data Lab
Dataiku
Alteryx
Continuum Analytics
In a word, the report provides detailed statistics and analysis on the state of the industry; and is a valuable source of guidance and direction for companies and individuals interested in the market.
CHAPTER 1 OVERVIEW OF DATA SCIENCE PLATFORM
1.1 Definition of Data Science Platform in This Report
1.2 Commercial Types of Data Science Platform
1.2.1 On-Premises
1.2.2 On-Demand
1.3 Downstream Application of Data Science Platform
1.3.1 Banking, Financial Services, and Insurance (BFSI)
1.3.2 Healthcare and Life Sciences
1.3.3 Information Technology and Telecom
1.3.4 Retail and Consumer Goods
1.3.5 Media and Entertainment
1.3.6 Manufacturing
1.3.7 Transportation and Logistics
1.3.8 Energy and Utilities
1.3.9 Government and Defense
1.3.10 Others
1.4 Development History of Data Science Platform
1.5 Market Status and Trend of Data Science Platform 2013-2023
1.5.1 EMEA Data Science Platform Market Status and Trend 2013-2023
1.5.2 Regional Data Science Platform Market Status and Trend 2013-2023
CHAPTER 2 EMEA MARKET STATUS AND FORECAST BY REGIONS
2.1 Market Status of Data Science Platform in EMEA 2013-2017
2.2 Consumption Market of Data Science Platform in EMEA by Regions
2.2.1 Consumption Volume of Data Science Platform in EMEA by Regions
2.2.2 Revenue of Data Science Platform in EMEA by Regions
2.3 Market Analysis of Data Science Platform in EMEA by Regions
2.3.1 Market Analysis of Data Science Platform in Europe 2013-2017
2.3.2 Market Analysis of Data Science Platform in Middle East 2013-2017
2.3.3 Market Analysis of Data Science Platform in Africa 2013-2017
2.4 Market Development Forecast of Data Science Platform in EMEA 2018-2023
2.4.1 Market Development Forecast of Data Science Platform in EMEA 2018-2023
2.4.2 Market Development Forecast of Data Science Platform by Regions 2018-2023
CHAPTER 3 EMEA MARKET STATUS AND FORECAST BY TYPES
3.1 Whole EMEA Market Status by Types
3.1.1 Consumption Volume of Data Science Platform in EMEA by Types
3.1.2 Revenue of Data Science Platform in EMEA by Types
3.2 EMEA Market Status by Types in Major Countries
3.2.1 Market Status by Types in Europe
3.2.2 Market Status by Types in Middle East
3.2.3 Market Status by Types in Africa
3.3 Market Forecast of Data Science Platform in EMEA by Types
CHAPTER 4 EMEA MARKET STATUS AND FORECAST BY DOWNSTREAM INDUSTRY
4.1 Demand Volume of Data Science Platform in EMEA by Downstream Industry
4.2 Demand Volume of Data Science Platform by Downstream Industry in Major Countries
4.2.1 Demand Volume of Data Science Platform by Downstream Industry in Europe
4.2.2 Demand Volume of Data Science Platform by Downstream Industry in Middle East
4.2.3 Demand Volume of Data Science Platform by Downstream Industry in Africa
4.3 Market Forecast of Data Science Platform in EMEA by Downstream Industry
CHAPTER 5 MARKET DRIVING FACTOR ANALYSIS OF DATA SCIENCE PLATFORM
5.1 EMEA Economy Situation and Trend Overview
5.2 Data Science Platform Downstream Industry Situation and Trend Overview
CHAPTER 6 DATA SCIENCE PLATFORM MARKET COMPETITION STATUS BY MAJOR PLAYERS IN EMEA
6.1 Sales Volume of Data Science Platform in EMEA by Major Players
6.2 Revenue of Data Science Platform in EMEA by Major Players
6.3 Basic Information of Data Science Platform by Major Players
6.3.1 Headquarters Location and Established Time of Data Science Platform Major Players
6.3.2 Employees and Revenue Level of Data Science Platform Major Players
6.4 Market Competition News and Trend
6.4.1 Merger, Consolidation or Acquisition News
6.4.2 Investment or Disinvestment News
6.4.3 New Product Development and Launch
CHAPTER 7 DATA SCIENCE PLATFORM MAJOR MANUFACTURERS INTRODUCTION AND MARKET DATA
7.1 Microsoft Corporation
7.1.1 Company profile
7.1.2 Representative Data Science Platform Product
7.1.3 Data Science Platform Sales, Revenue, Price and Gross Margin of Microsoft Corporation
7.2 IBM Corporation
7.2.1 Company profile
7.2.2 Representative Data Science Platform Product
7.2.3 Data Science Platform Sales, Revenue, Price and Gross Margin of IBM Corporation
7.3 Google
7.3.1 Company profile
7.3.2 Representative Data Science Platform Product
7.3.3 Data Science Platform Sales, Revenue, Price and Gross Margin of Google
7.4 Wolfram
7.4.1 Company profile
7.4.2 Representative Data Science Platform Product
7.4.3 Data Science Platform Sales, Revenue, Price and Gross Margin of Wolfram
7.5 DataRobot
7.5.1 Company profile
7.5.2 Representative Data Science Platform Product
7.5.3 Data Science Platform Sales, Revenue, Price and Gross Margin of DataRobot
7.6 Sense
7.6.1 Company profile
7.6.2 Representative Data Science Platform Product
7.6.3 Data Science Platform Sales, Revenue, Price and Gross Margin of Sense
7.7 RapidMiner
7.7.1 Company profile
7.7.2 Representative Data Science Platform Product
7.7.3 Data Science Platform Sales, Revenue, Price and Gross Margin of RapidMiner
7.8 Domino Data Lab
7.8.1 Company profile
7.8.2 Representative Data Science Platform Product
7.8.3 Data Science Platform Sales, Revenue, Price and Gross Margin of Domino Data Lab
7.9 Dataiku
7.9.1 Company profile
7.9.2 Representative Data Science Platform Product
7.9.3 Data Science Platform Sales, Revenue, Price and Gross Margin of Dataiku
7.10 Alteryx
7.10.1 Company profile
7.10.2 Representative Data Science Platform Product
7.10.3 Data Science Platform Sales, Revenue, Price and Gross Margin of Alteryx
7.11 Continuum Analytics
7.11.1 Company profile
7.11.2 Representative Data Science Platform Product
7.11.3 Data Science Platform Sales, Revenue, Price and Gross Margin of Continuum Analytics
CHAPTER 8 UPSTREAM AND DOWNSTREAM MARKET ANALYSIS OF DATA SCIENCE PLATFORM
8.1 Industry Chain of Data Science Platform
8.2 Upstream Market and Representative Companies Analysis
8.3 Downstream Market and Representative Companies Analysis
CHAPTER 9 COST AND GROSS MARGIN ANALYSIS OF DATA SCIENCE PLATFORM
9.1 Cost Structure Analysis of Data Science Platform
9.2 Raw Materials Cost Analysis of Data Science Platform
9.3 Labor Cost Analysis of Data Science Platform
9.4 Manufacturing Expenses Analysis of Data Science Platform
CHAPTER 10 MARKETING STATUS ANALYSIS OF DATA SCIENCE PLATFORM
10.1 Marketing Channel
10.1.1 Direct Marketing
10.1.2 Indirect Marketing
10.1.3 Marketing Channel Development Trend
10.2 Market Positioning
10.2.1 Pricing Strategy
10.2.2 Brand Strategy
10.2.3 Target Client
10.3 Distributors/Traders List
CHAPTER 11 REPORT CONCLUSION
CHAPTER 12 RESEARCH METHODOLOGY AND REFERENCE
12.1 Methodology/Research Approach
12.1.1 Research Programs/Design
12.1.2 Market Size Estimation
12.1.3 Market Breakdown and Data Triangulation
12.2 Data Source
12.2.1 Secondary Sources
12.2.2 Primary Sources
12.3 Reference
1.1 Definition of Data Science Platform in This Report
1.2 Commercial Types of Data Science Platform
1.2.1 On-Premises
1.2.2 On-Demand
1.3 Downstream Application of Data Science Platform
1.3.1 Banking, Financial Services, and Insurance (BFSI)
1.3.2 Healthcare and Life Sciences
1.3.3 Information Technology and Telecom
1.3.4 Retail and Consumer Goods
1.3.5 Media and Entertainment
1.3.6 Manufacturing
1.3.7 Transportation and Logistics
1.3.8 Energy and Utilities
1.3.9 Government and Defense
1.3.10 Others
1.4 Development History of Data Science Platform
1.5 Market Status and Trend of Data Science Platform 2013-2023
1.5.1 EMEA Data Science Platform Market Status and Trend 2013-2023
1.5.2 Regional Data Science Platform Market Status and Trend 2013-2023
CHAPTER 2 EMEA MARKET STATUS AND FORECAST BY REGIONS
2.1 Market Status of Data Science Platform in EMEA 2013-2017
2.2 Consumption Market of Data Science Platform in EMEA by Regions
2.2.1 Consumption Volume of Data Science Platform in EMEA by Regions
2.2.2 Revenue of Data Science Platform in EMEA by Regions
2.3 Market Analysis of Data Science Platform in EMEA by Regions
2.3.1 Market Analysis of Data Science Platform in Europe 2013-2017
2.3.2 Market Analysis of Data Science Platform in Middle East 2013-2017
2.3.3 Market Analysis of Data Science Platform in Africa 2013-2017
2.4 Market Development Forecast of Data Science Platform in EMEA 2018-2023
2.4.1 Market Development Forecast of Data Science Platform in EMEA 2018-2023
2.4.2 Market Development Forecast of Data Science Platform by Regions 2018-2023
CHAPTER 3 EMEA MARKET STATUS AND FORECAST BY TYPES
3.1 Whole EMEA Market Status by Types
3.1.1 Consumption Volume of Data Science Platform in EMEA by Types
3.1.2 Revenue of Data Science Platform in EMEA by Types
3.2 EMEA Market Status by Types in Major Countries
3.2.1 Market Status by Types in Europe
3.2.2 Market Status by Types in Middle East
3.2.3 Market Status by Types in Africa
3.3 Market Forecast of Data Science Platform in EMEA by Types
CHAPTER 4 EMEA MARKET STATUS AND FORECAST BY DOWNSTREAM INDUSTRY
4.1 Demand Volume of Data Science Platform in EMEA by Downstream Industry
4.2 Demand Volume of Data Science Platform by Downstream Industry in Major Countries
4.2.1 Demand Volume of Data Science Platform by Downstream Industry in Europe
4.2.2 Demand Volume of Data Science Platform by Downstream Industry in Middle East
4.2.3 Demand Volume of Data Science Platform by Downstream Industry in Africa
4.3 Market Forecast of Data Science Platform in EMEA by Downstream Industry
CHAPTER 5 MARKET DRIVING FACTOR ANALYSIS OF DATA SCIENCE PLATFORM
5.1 EMEA Economy Situation and Trend Overview
5.2 Data Science Platform Downstream Industry Situation and Trend Overview
CHAPTER 6 DATA SCIENCE PLATFORM MARKET COMPETITION STATUS BY MAJOR PLAYERS IN EMEA
6.1 Sales Volume of Data Science Platform in EMEA by Major Players
6.2 Revenue of Data Science Platform in EMEA by Major Players
6.3 Basic Information of Data Science Platform by Major Players
6.3.1 Headquarters Location and Established Time of Data Science Platform Major Players
6.3.2 Employees and Revenue Level of Data Science Platform Major Players
6.4 Market Competition News and Trend
6.4.1 Merger, Consolidation or Acquisition News
6.4.2 Investment or Disinvestment News
6.4.3 New Product Development and Launch
CHAPTER 7 DATA SCIENCE PLATFORM MAJOR MANUFACTURERS INTRODUCTION AND MARKET DATA
7.1 Microsoft Corporation
7.1.1 Company profile
7.1.2 Representative Data Science Platform Product
7.1.3 Data Science Platform Sales, Revenue, Price and Gross Margin of Microsoft Corporation
7.2 IBM Corporation
7.2.1 Company profile
7.2.2 Representative Data Science Platform Product
7.2.3 Data Science Platform Sales, Revenue, Price and Gross Margin of IBM Corporation
7.3 Google
7.3.1 Company profile
7.3.2 Representative Data Science Platform Product
7.3.3 Data Science Platform Sales, Revenue, Price and Gross Margin of Google
7.4 Wolfram
7.4.1 Company profile
7.4.2 Representative Data Science Platform Product
7.4.3 Data Science Platform Sales, Revenue, Price and Gross Margin of Wolfram
7.5 DataRobot
7.5.1 Company profile
7.5.2 Representative Data Science Platform Product
7.5.3 Data Science Platform Sales, Revenue, Price and Gross Margin of DataRobot
7.6 Sense
7.6.1 Company profile
7.6.2 Representative Data Science Platform Product
7.6.3 Data Science Platform Sales, Revenue, Price and Gross Margin of Sense
7.7 RapidMiner
7.7.1 Company profile
7.7.2 Representative Data Science Platform Product
7.7.3 Data Science Platform Sales, Revenue, Price and Gross Margin of RapidMiner
7.8 Domino Data Lab
7.8.1 Company profile
7.8.2 Representative Data Science Platform Product
7.8.3 Data Science Platform Sales, Revenue, Price and Gross Margin of Domino Data Lab
7.9 Dataiku
7.9.1 Company profile
7.9.2 Representative Data Science Platform Product
7.9.3 Data Science Platform Sales, Revenue, Price and Gross Margin of Dataiku
7.10 Alteryx
7.10.1 Company profile
7.10.2 Representative Data Science Platform Product
7.10.3 Data Science Platform Sales, Revenue, Price and Gross Margin of Alteryx
7.11 Continuum Analytics
7.11.1 Company profile
7.11.2 Representative Data Science Platform Product
7.11.3 Data Science Platform Sales, Revenue, Price and Gross Margin of Continuum Analytics
CHAPTER 8 UPSTREAM AND DOWNSTREAM MARKET ANALYSIS OF DATA SCIENCE PLATFORM
8.1 Industry Chain of Data Science Platform
8.2 Upstream Market and Representative Companies Analysis
8.3 Downstream Market and Representative Companies Analysis
CHAPTER 9 COST AND GROSS MARGIN ANALYSIS OF DATA SCIENCE PLATFORM
9.1 Cost Structure Analysis of Data Science Platform
9.2 Raw Materials Cost Analysis of Data Science Platform
9.3 Labor Cost Analysis of Data Science Platform
9.4 Manufacturing Expenses Analysis of Data Science Platform
CHAPTER 10 MARKETING STATUS ANALYSIS OF DATA SCIENCE PLATFORM
10.1 Marketing Channel
10.1.1 Direct Marketing
10.1.2 Indirect Marketing
10.1.3 Marketing Channel Development Trend
10.2 Market Positioning
10.2.1 Pricing Strategy
10.2.2 Brand Strategy
10.2.3 Target Client
10.3 Distributors/Traders List
CHAPTER 11 REPORT CONCLUSION
CHAPTER 12 RESEARCH METHODOLOGY AND REFERENCE
12.1 Methodology/Research Approach
12.1.1 Research Programs/Design
12.1.2 Market Size Estimation
12.1.3 Market Breakdown and Data Triangulation
12.2 Data Source
12.2.1 Secondary Sources
12.2.2 Primary Sources
12.3 Reference
