The Europe Data Science Platform Market is expected to witness market growth of 26% CAGR during the forecast period (2020-2026).
A data science platform can be considered as a system of the complete life cycle of a data science venture. The data science platform contains all the instruments needed for executing the lifecycle of the data science venture spanning across various phases, for example, data ideation, integration and implementation, model development, and model installation. Data science platform assists companies to upgrade their analysis by helping them run, track, reproduce, share, and deploy analytical models quicker. Commonly, every one of these tasks needs much engineering effort, and is hard to assemble and maintain analytics models. Data science platforms provide data science groups an advantage in serious competition to use analytics successfully.
The worldwide data science platform market is being boosted by factors, for example, a worldwide rapid progression in big data innovations, demand for big data analysis to get deeper insights into user purchasing behaviors, and the requirement for ease of using technological techniques to drive business viability. Data science platforms help to encourage a significant level of relationship across data researchers, business experts, data specialists, and developers in various fields of business. Data Science platforms assist the companies to prepare data, manufacturing models, and operationalize analytics.
The data science platform includes a set of new-age innovations and architecture that are uncommonly designed as a system of the complete data science project. It comprises of instruments that are needed to execute the life cycle of the data science project, which comprises various phases, for example, data ideation, integration & exploration; model development, and model deployment. In the current situation, it has become a significant investment decision that has altogether added to the development of the smart and digital industry.
Based on Component, the market is segmented into Platform (Without Services) and Services. Based on Deployment Type, the market is segmented into On-premises and Cloud. Based on Enterprise Size, the market is segmented into Large Enterprise and Small & Medium Enterprise. Based on Application, the market is segmented into Marketing & Sales, Logistics, Customer Support, Finance & Accounting and Others. Based on End User, the market is segmented into BFSI, Energy & Utilities, Healthcare, Retail & eCommerce, Government & Defense, IT & Telecommunication, Manufacturing and Others. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include IBM Corporation, Microsoft Corporation, Google, Inc., SAP SE, Altair Engineering, Inc., Alteryx, Inc., Cloudera, Inc., The MathWorks, Inc., SAS Institute, Inc., and RapidMiner, Inc.
Scope of the Study
Market Segmentation:
By Component
By Deployment Type
By Enterprise Size
By Application
By End User
By Country
Companies Profiled
Unique Offerings from the Publisher
A data science platform can be considered as a system of the complete life cycle of a data science venture. The data science platform contains all the instruments needed for executing the lifecycle of the data science venture spanning across various phases, for example, data ideation, integration and implementation, model development, and model installation. Data science platform assists companies to upgrade their analysis by helping them run, track, reproduce, share, and deploy analytical models quicker. Commonly, every one of these tasks needs much engineering effort, and is hard to assemble and maintain analytics models. Data science platforms provide data science groups an advantage in serious competition to use analytics successfully.
The worldwide data science platform market is being boosted by factors, for example, a worldwide rapid progression in big data innovations, demand for big data analysis to get deeper insights into user purchasing behaviors, and the requirement for ease of using technological techniques to drive business viability. Data science platforms help to encourage a significant level of relationship across data researchers, business experts, data specialists, and developers in various fields of business. Data Science platforms assist the companies to prepare data, manufacturing models, and operationalize analytics.
The data science platform includes a set of new-age innovations and architecture that are uncommonly designed as a system of the complete data science project. It comprises of instruments that are needed to execute the life cycle of the data science project, which comprises various phases, for example, data ideation, integration & exploration; model development, and model deployment. In the current situation, it has become a significant investment decision that has altogether added to the development of the smart and digital industry.
Based on Component, the market is segmented into Platform (Without Services) and Services. Based on Deployment Type, the market is segmented into On-premises and Cloud. Based on Enterprise Size, the market is segmented into Large Enterprise and Small & Medium Enterprise. Based on Application, the market is segmented into Marketing & Sales, Logistics, Customer Support, Finance & Accounting and Others. Based on End User, the market is segmented into BFSI, Energy & Utilities, Healthcare, Retail & eCommerce, Government & Defense, IT & Telecommunication, Manufacturing and Others. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include IBM Corporation, Microsoft Corporation, Google, Inc., SAP SE, Altair Engineering, Inc., Alteryx, Inc., Cloudera, Inc., The MathWorks, Inc., SAS Institute, Inc., and RapidMiner, Inc.
Scope of the Study
Market Segmentation:
By Component
- Platform (Without Services)
- Services
By Deployment Type
- On-premises
- Cloud
By Enterprise Size
- Large Enterprise
- Small & Medium Enterprise
By Application
- Marketing & Sales
- Logistics
- Customer Support
- Finance & Accounting
- Others
By End User
- BFSI
- Energy & Utilities
- Healthcare
- Retail & eCommerce
- Government & Defense
- IT & Telecommunication
- Manufacturing
- Others
By Country
- Germany
- UK
- France
- Russia
- Spain
- Italy
- Rest of Europe
Companies Profiled
- IBM Corporation
- Microsoft Corporation
- Google, Inc.
- SAP SE
- Altair Engineering, Inc.
- Alteryx, Inc.
- Cloudera, Inc.
- The MathWorks, Inc.
- SAS Institute, Inc.
- RapidMiner, Inc.
Unique Offerings from the Publisher
- Exhaustive coverage
- Highest number of market tables and figures
- Subscription based model available
- Guaranteed best price
- Assured post sales research support with 10% customization free
Table of Contents
Chapter 1. Market Scope & Methodology
Chapter 2. Market Overview
Chapter 3. Competition Analysis - Global
Chapter 4. Europe Data Science Platform Market by Enterprise Size
Chapter 5. Europe Data Science Platform Market by Industry Vertical
Chapter 6. Europe Data Science Platform Market by Component
Chapter 7. Europe Data Science Platform Market by Deployment Type
Chapter 8. Europe Data Science Platform Market by Application
Chapter 9. Europe Data Science Platform Market by Country
Chapter 10. Company Profiles
Companies Mentioned
- IBM Corporation
- Microsoft Corporation
- Google, Inc.
- SAP SE
- Altair Engineering, Inc.
- Alteryx, Inc.
- Cloudera, Inc.
- The MathWorks, Inc.
- SAS Institute, Inc.
- RapidMiner, Inc.
Methodology
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