The Europe AI In Life Science Analytics Market should witness market growth of 10.4% CAGR during the forecast period (2022-2028).
AI technologies prove to be highly advantageous in clinical trials, which are time-consuming processes that can be significantly sped up by utilizing these tools. One way this can be done is by applying sophisticated predictive analytics on a variety of data to more rapidly identify potential participants in clinical trials for specified populations.
Additionally, by simplifying activities like determining the best sample sizes, assisting in patient recruitment, and leveraging medical records to reduce data errors, machine learning systems can improve the efficiency of clinical trials.
This encourages numerous pharmaceutical companies, as well as clinical research institutions (CROs), to invest in innovative tools like AI. Additionally, numerous governments throughout the world are launching programs to promote AI and its effects on the medical and life science sectors.
In this region, the prevalent usage of AI and big data in healthcare takes place. As a result, the European Commission formulated an AI Act (Medical Device and In-Vitro Diagnostics Regulations) that aimed at the safe use of AI and increased the adoption of reliable AI in the European region. This prompted the Member States of the EU to align their national AI legislations to ensure clear and consistent rules which would support the accessibility of medical technologies enabled by AI.
The Germany market dominated the Europe AI In Life Science Analytics Market by Country in 2021, and would continue to be a dominant market till 2028; thereby, achieving a market value of $163.7 million by 2028.The UK market is anticipated to grow at a CAGR of 9.5% during (2022-2028). Additionally, The France market would exhibit a CAGR of 11.2% during (2022-2028).
Based on End-user, the market is segmented into Pharmaceutical, Medical Devices, Biotechnology and Others. Based on Application, the market is segmented into Sales & Marketing Support, Supply Chain Analytics, Research & Development and Others. Based on Deployment, the market is segmented into Cloud and On-premise. Based on Component, the market is segmented into Services, Hardware and Software. 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 Wipro Limited, Lexalytics, Inc., Databricks, Inc., SAS Institute, Inc., Sisense, Inc., IQVIA Holdings, Inc., IBM Corporation, Microsoft Corporation, Oracle Corporation, and Accenture PLC.
AI technologies prove to be highly advantageous in clinical trials, which are time-consuming processes that can be significantly sped up by utilizing these tools. One way this can be done is by applying sophisticated predictive analytics on a variety of data to more rapidly identify potential participants in clinical trials for specified populations.
Additionally, by simplifying activities like determining the best sample sizes, assisting in patient recruitment, and leveraging medical records to reduce data errors, machine learning systems can improve the efficiency of clinical trials.
This encourages numerous pharmaceutical companies, as well as clinical research institutions (CROs), to invest in innovative tools like AI. Additionally, numerous governments throughout the world are launching programs to promote AI and its effects on the medical and life science sectors.
In this region, the prevalent usage of AI and big data in healthcare takes place. As a result, the European Commission formulated an AI Act (Medical Device and In-Vitro Diagnostics Regulations) that aimed at the safe use of AI and increased the adoption of reliable AI in the European region. This prompted the Member States of the EU to align their national AI legislations to ensure clear and consistent rules which would support the accessibility of medical technologies enabled by AI.
The Germany market dominated the Europe AI In Life Science Analytics Market by Country in 2021, and would continue to be a dominant market till 2028; thereby, achieving a market value of $163.7 million by 2028.The UK market is anticipated to grow at a CAGR of 9.5% during (2022-2028). Additionally, The France market would exhibit a CAGR of 11.2% during (2022-2028).
Based on End-user, the market is segmented into Pharmaceutical, Medical Devices, Biotechnology and Others. Based on Application, the market is segmented into Sales & Marketing Support, Supply Chain Analytics, Research & Development and Others. Based on Deployment, the market is segmented into Cloud and On-premise. Based on Component, the market is segmented into Services, Hardware and Software. 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 Wipro Limited, Lexalytics, Inc., Databricks, Inc., SAS Institute, Inc., Sisense, Inc., IQVIA Holdings, Inc., IBM Corporation, Microsoft Corporation, Oracle Corporation, and Accenture PLC.
Scope of the Study
By End-user
- Pharmaceutical
- Medical Devices
- Biotechnology
- Others
By Application
- Sales & Marketing Support
- Supply Chain Analytics
- Research & Development
- Others
By Deployment
- Cloud
- On-premise
By Component
- Services
- Hardware
- Software
By Country
- Germany
- UK
- France
- Russia
- Spain
- Italy
- Rest of Europe
Key Market Players
List of Companies Profiled in the Report:
- Wipro Limited
- Lexalytics, Inc.
- Databricks, Inc.
- SAS Institute, Inc.
- Sisense, Inc.
- IQVIA Holdings, Inc.
- IBM Corporation
- Microsoft Corporation
- Oracle Corporation
- Accenture PLC
Unique Offerings
- Exhaustive coverage
- The 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 & Methodology1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Europe AI In Life Science Analytics Market, by End-user
1.4.2 Europe AI In Life Science Analytics Market, by Application
1.4.3 Europe AI In Life Science Analytics Market, by Deployment
1.4.4 Europe AI In Life Science Analytics Market, by Component
1.4.5 Europe AI In Life Science Analytics Market, by Country
1.5 Methodology for the research
Chapter 2. Market Overview
2.1 Introduction
2.1.1 Overview
2.1.1.1 Market Composition and Scenario
2.2 Key Factors Impacting the Market
2.2.1 Market Drivers
2.2.2 Market Restraints
Chapter 3. Competition Analysis - Global
3.1 Cardinal Matrix
3.2 Recent Industry Wide Strategic Developments
3.2.1 Partnerships, Collaborations and Agreements
3.2.2 Product Launches and Product Expansions
3.2.3 Acquisition and Mergers
3.3 Top Winning Strategies
3.3.1 Key Leading Strategies: Percentage Distribution (2018-2022)
Chapter 4. Europe AI In Life Science Analytics Market by End-user
4.1 Europe Pharmaceutical Market by Country
4.2 Europe Medical Devices Market by Country
4.3 Europe Biotechnology Market by Country
4.4 Europe Others Market by Country
Chapter 5. Europe AI In Life Science Analytics Market by Application
5.1 Europe Sales & Marketing Support Market by Country
5.2 Europe Supply Chain Analytics Market by Country
5.3 Europe Research & Development Market by Country
5.4 Europe Others Market by Country
Chapter 6. Europe AI In Life Science Analytics Market by Deployment
6.1 Europe Cloud Market by Country
6.2 Europe On-premise Market by Country
Chapter 7. Europe AI In Life Science Analytics Market by Component
7.1 Europe Services Market by Country
7.2 Europe Hardware Market by Country
7.3 Europe Software Market by Country
Chapter 8. Europe AI In Life Science Analytics Market by Country
8.1 Germany AI In Life Science Analytics Market
8.1.1 Germany AI In Life Science Analytics Market by End-user
8.1.2 Germany AI In Life Science Analytics Market by Application
8.1.3 Germany AI In Life Science Analytics Market by Deployment
8.1.4 Germany AI In Life Science Analytics Market by Component
8.2 UK AI In Life Science Analytics Market
8.2.1 UK AI In Life Science Analytics Market by End-user
8.2.2 UK AI In Life Science Analytics Market by Application
8.2.3 UK AI In Life Science Analytics Market by Deployment
8.2.4 UK AI In Life Science Analytics Market by Component
8.3 France AI In Life Science Analytics Market
8.3.1 France AI In Life Science Analytics Market by End-user
8.3.2 France AI In Life Science Analytics Market by Application
8.3.3 France AI In Life Science Analytics Market by Deployment
8.3.4 France AI In Life Science Analytics Market by Component
8.4 Russia AI In Life Science Analytics Market
8.4.1 Russia AI In Life Science Analytics Market by End-user
8.4.2 Russia AI In Life Science Analytics Market by Application
8.4.3 Russia AI In Life Science Analytics Market by Deployment
8.4.4 Russia AI In Life Science Analytics Market by Component
8.5 Spain AI In Life Science Analytics Market
8.5.1 Spain AI In Life Science Analytics Market by End-user
8.5.2 Spain AI In Life Science Analytics Market by Application
8.5.3 Spain AI In Life Science Analytics Market by Deployment
8.5.4 Spain AI In Life Science Analytics Market by Component
8.6 Italy AI In Life Science Analytics Market
8.6.1 Italy AI In Life Science Analytics Market by End-user
8.6.2 Italy AI In Life Science Analytics Market by Application
8.6.3 Italy AI In Life Science Analytics Market by Deployment
8.6.4 Italy AI In Life Science Analytics Market by Component
8.7 Rest of Europe AI In Life Science Analytics Market
8.7.1 Rest of Europe AI In Life Science Analytics Market by End-user
8.7.2 Rest of Europe AI In Life Science Analytics Market by Application
8.7.3 Rest of Europe AI In Life Science Analytics Market by Deployment
8.7.4 Rest of Europe AI In Life Science Analytics Market by Component
Chapter 9. Company Profiles
9.1 Wipro Limited
9.1.1 Company Overview
9.1.2 Financial Analysis
9.1.3 Segmental and Regional Analysis
9.1.4 Research & Development Expenses
9.1.5 Recent strategies and developments:
9.1.5.1 Partnerships, Collaborations, and Agreements:
9.1.5.2 Product Launches and Product Expansions:
9.1.6 SWOT Analysis
9.2 Oracle Corporation
9.2.1 Company Overview
9.2.2 Financial Analysis
9.2.3 Segmental and Regional Analysis
9.2.4 Research & Development Expense
9.2.5 Recent strategies and developments:
9.2.5.1 Partnerships, Collaborations, and Agreements:
9.2.5.2 Acquisition and Mergers:
9.2.6 SWOT Analysis
9.3 IBM Corporation
9.3.1 Company Overview
9.3.2 Financial Analysis
9.3.3 Regional & Segmental Analysis
9.3.4 Research & Development Expenses
9.3.5 SWOT Analysis
9.4 Accenture PLC
9.4.1 Company Overview
9.4.2 Financial Analysis
9.4.3 Segmental and Regional Analysis
9.4.4 Research & Development Expenses
9.4.5 Recent strategies and developments:
9.4.5.1 Partnerships, Collaborations, and Agreements:
9.4.6 SWOT Analysis
9.5 Microsoft Corporation
9.5.1 Company Overview
9.5.2 Financial Analysis
9.5.3 Segmental and Regional Analysis
9.5.4 Research & Development Expenses
9.5.5 SWOT Analysis
9.6 IQVIA Holdings, Inc.
9.6.1 Company Overview
9.6.2 Financial Analysis
9.6.3 Segmental and Regional Analysis
9.6.4 Recent strategies and developments:
9.6.4.1 Partnerships, Collaborations, and Agreements:
9.6.4.2 Product Launches and Product Expansions:
9.6.4.3 Acquisition and Mergers:
9.7 Lexalytics, Inc. (InMoment, Inc.)
9.7.1 Company Overview
9.8 Sisense, Inc.
9.8.1 Company Overview
9.9 Databricks, Inc.
9.9.1 Company Overview
9.9.2 Recent strategies and developments:
9.9.2.1 Product Launches & Product Expansions:
9.10. SAS Institute, Inc.
9.10.1 Company Overview
9.10.2 Recent strategies and developments:
9.10.2.1 Partnerships, Collaborations, and Agreements:
Companies Mentioned
- Wipro Limited
- Lexalytics, Inc.
- Databricks, Inc.
- SAS Institute, Inc.
- Sisense, Inc.
- IQVIA Holdings, Inc.
- IBM Corporation
- Microsoft Corporation
- Oracle Corporation
- Accenture PLC
Methodology
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