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Europe AI In Life Science Analytics Market Size, Share & Trends Analysis Report By Application (Target Identification / Translational Research, Net Zero & Sustainability), By Country, And Segment Forecasts, 2023-2030

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    Report

  • 100 Pages
  • June 2023
  • Region: Europe
  • Grand View Research
  • ID: 5846806
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The Europe AI in life science analytics market size is anticipated to reach 905.5 million by 2030, expanding at a CAGR of 10.3% from 2023 to 2030, according to this report. This growth is expected to be driven by factors such as an increase in clinical studies, pharmaceutical discoveries, and a greater focus on detecting uncommon diseases. The market is also expanding due to advancements in deep learning and artificial intelligence.

AI-driven technology can analyze and compare vast and intricate datasets, providing more dependable information in less time. The life science industry is experiencing tangible benefits from utilizing AI, facilitated by sophisticated algorithms. With the support of machine learning, AI aids life science companies in expediting and streamlining the development of treatments. AI plays a pivotal role, particularly in the realm of cancer and rare disease treatments.

As a result of its significant impact, the adoption of AI is on the rise. Clinical trials, which involve a rigorous process, can be effectively addressed with the assistance of AI. The screening and analysis of a small fraction of molecules is both time-consuming and costly. Therefore, pharmaceutical companies have been actively investing in creating AI tools that can interpret and scan complex databases more rapidly and accurately. Consequently, the growth of AI in life science analytics has been remarkable.

Furthermore, advanced solutions allow market players to actively engage with patients through digital channels, manage complex supply chains, and provide workforce management. However, the COVID-19 pandemic exposed major areas for improvement for artificial intelligence in life science analytics solutions: dependency of algorithms on historical data and assumption of continuation. The pandemic challenged the basis of predictive analytics and its functioning. Increasing adoption of software solutions such as clinical decision support systems, clinical trial management systems, and data mining, is anticipated to propel market demand.

Europe AI In Life Science Analytics Market Report Highlights

  • The patient health and experience segment dominated the market with a share of 10.2%. in 2022 while net zero & sustainability is projected to grow at the fastest CAGR of 11.3% over the forecast period
  • In 2022, Germany held the largest market share of 20.4% owing to various initiatives undertaken for promoting the adoption
  • Ireland is anticipated to grow at the fastest CAGR of 10.6% over the forecast period, owing to numerous initiatives which are being undertaken to accelerate the adoption of AI in various industries in the country
  • Some of the key market players are Lexalytics; Databricks; SAS Institute, Inc.; Sisense Inc.; IQVIA; IBM; Sorcero; Axtria; Aktana; Mosimtec, LLC; Aon plc; Zenith Technologies; ZS Associates; Locuz; and Puresoftware. In March 2022, Sorcero announced the launch of Clarity, which provides the medical affairs team with an integrated view across all areas of scientific engagement. Moreover, through the use of Sorcero’s advanced analytics, the medical teams can visualize and track medical content at scale


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Table of Contents

Chapter 1 Methodology and Scope
1.1 Market Segmentation and Scope
1.2 Research Process
1.2.1 Information Procurement
1.3 Research Scope and Assumptions
1.4 Research Methodology
1.5 Segment Market Estimation
1.6 Objectives
1.6.1 Objective - 1
1.6.2 Objective - 2
1.6.3 Objective - 3
1.7 List of Data Sources
Chapter 2 Executive Summary
2.1 Europe AI in life science analytics executive summary
2.2 Europe Ai in life science analytics market snapshot
2.3 Europe Ai in life science analytics segment snapshot
2.4 Europe Ai in life science analytics competitive landscape snapshot
Chapter 3 Europe AI in Life Science Analytics Market Variables, Trends & Scope
3.1 Penetration and Growth Prospect Mapping
3.2 Market Dynamics
3.2.1 Market Driver Analysis
3.2.1.1 Increasing Number Of Clinical Trials And Drug Discoveries
3.2.1.2 Rising Advancements In Deep Learning
3.2.1.3 Growing Focus On Rare Diseases
3.2.2 Market Restraint Analysis
3.2.2.1 High Capital Investment
3.3 Europe AI In Life Science Analytics Industry Analysis - Porter’s
3.4 Europe AI In Life Sciences Market - PEST Analysis
3.5 Impact Of COVID - 19 On Europe AI in life science analytics market
3.6 Regulatory Framework
Chapter 4 Europe AI in Life Science Analytics Market: Application Estimates & Trend Analysis
4.1 Europe AI in life science analytics market: application analysis
4.2 Market Definition and Scope
4.3 Europe AI in life science analytics market estimates & forecast, by application (USD Million)
4.4 Target Identification/Translational Research
4.4.1 Europe AI in life science analytics market estimates and forecasts, by target identification/translational research, 2018 - 2030 (USD Million)
4.5 Hit to Candidate Identification
4.5.1 Europe AI in life science analytics market estimates and forecasts, by hit to candidate identification, 2018 - 2030 (USD Million)
4.6 Precision Recruiting for Clinical Research / Studies
4.6.1 Europe AI in life science analytics market estimates and forecasts, by precision recruiting for clinical research/studies, 2018 2030 (USD Million)
4.7 Regulatory and Safety Digitalization
4.7.1 Europe AI in life science analytics market estimates and forecasts, by regulatory and safety digitalization, 2018 - 2030 (USD million)
4.8 Digital Clinical Operations
4.8.1 Europe AI in life science analytics market estimates and forecasts, by digital clinical operations, 2018 - 2030 (USD Million)
4.9 Decentralized Trials
4.9.1 Europe AI in life science analytics market estimates and forecasts, by decentralized trials, 2018 - 2030 (USD Million)
4.10 Smart Factory
4.10.1 Europe AI in life science analytics market estimates and forecasts, by smart factory, 2018 - 2030 (USD Million)
4.11 Net Zero & Sustainability
4.11.1 Europe AI in life science analytics market estimates and forecasts, by net zero and sustainability, 2018 - 2030 (USD Million)
4.12 Autonomous Supply Chains
4.12.1 Europe AI in life science analytics market estimates and forecasts, by autonomous supply chain, 2018 - 2030 (USD Million)
4.13 Supplier Risk Management
4.13.1 Europe AI in life science analytics market estimates and forecasts, by supplier risk management 2018 - 2030 (USD Million)
4.14 Digital Twin
4.14.1 Europe AI in life science analytics market estimates and forecasts, by digital twin 2018 - 2030 (USD Million)
4.15 Patient Health and Experience
4.15.1 Europe AI in life science analytics market estimates and forecasts, by patient health and experience, 2018 - 2030 (USD Million)
4.16 Content Velocity
4.16.1 Europe AI in life science analytics market estimates and forecasts, by content velocity, 2018 - 2030 (USD Million)
4.17 Omnichannel Engagement
4.17.1 Europe AI in life science analytics market estimates and forecasts, by omnichannel engagement, 2018 - 2030 (USD Million)
4.18 Next Best Engagement
4.18.1 Europe AI in life science analytics market estimates and forecasts, by next best engagement, 2018 - 2030 (USD Million)
4.19 Gross to Net
4.19.1 Europe AI in life science analytics market estimates and forecasts, by gross to net, 2018 - 2030 (USD Million)
4.20 Others
4.20.1 Europe AI in life science analytics market estimates and forecasts, by others 2018 - 2030 (USD Million)
Chapter 5 Europe AI in Life Science Analytics Market: Regional Estimates & Trend Analysis, by Application
5.1 Europe AI in life science analytics market share, by region, 2023 & 2030
5.2 Europe
5.2.1 Europe AI in life science analytics market estimates and forecasts, 2018 - 2030 (USD Million)
5.2.2 Germany
5.2.2.1 Germany AI in life science analytics market estimates and forecasts, 2018 - 2030 (USD Million)
5.2.3 UK
5.2.3.1 UK AI in life science analytics market estimates and forecasts, 2018 - 2030 (USD Million)
5.2.4 France
5.2.4.1 France AI in life science analytics market estimates and forecasts, 2018 - 2030 (USD Million)
5.2.5 Spain
5.2.5.1 Spain AI in life science analytics market estimates and forecasts, 2018 - 2030 (USD Million)
5.2.6 Switzerland
5.2.6.1 Switzerland AI in life science analytics market estimates and forecasts, 2018 - 2030 (USD Million)
5.2.7 Belgium
5.2.7.1 Belgium AI in life science analytics market estimates and forecasts, 2018 - 2030 (USD Million)
5.2.8 Ireland
5.2.8.1 Ireland AI in life science analytics market estimates and forecasts, 2018 - 2030 (USD Million)
Chapter 6 Competitive Analysis
6.1 Heat Map Analysis
6.2 Recent Developments & Impact Analysis, By Key Market Participants
6.2.1 Mergers & Acquisitions
6.2.2 Product Launches
6.2.3 Partnerships & Collaborations
6.2.4 Business/Geography Expansions
6.3 Participant Categorization
6.4 Company Categorization Analysis
6.5 Company/Competition Categorization (Key Innovators, Market Leaders, Emerging Players)
6.6 Company Market Position Analysis
6.6.1 Public Companies
6.6.1.1 Company Market Position Analysis (Geographic Presence, Product Portfolio, Key Alliance, Industry Experience)
6.6.2 Private Companies
6.6.2.1 Company Market Position Analysis (Geographic Presence, Product Portfolio, Key Alliance, Industry Experience)
6.7 List of Other Players
Chapter 7. Company Profiles
7.1 Axtria
7.1.1 Company overview
7.1.2 Financial performance
7.1.3 Component benchmarking
7.1.4 Strategic initiatives
7.2 Lexalytics
7.2.1 Company overview
7.2.2 Financial performance
7.2.3 Component benchmarking
7.2.4 Strategic initiatives
7.3 Databricks.
7.3.1 Company overview
7.3.2 Financial performance
7.3.3 Component benchmarking
7.3.4 Strategic initiatives
7.4 SAS Institute Inc.
7.4.1 Company overview
7.4.2 Financial performance
7.4.3 Component benchmarking
7.4.4 Strategic initiatives
7.5 Sisense
7.5.1 Company overview
7.5.2 Financial performance
7.5.3 Component benchmarking
7.5.4 Strategic initiatives
7.6 IQVIA
7.6.1 Company overview
7.6.2 Financial performance
7.6.3 Component benchmarking
7.6.4 Strategic initiatives
7.7 IBM
7.7.1 Company overview
7.7.2 Financial performance
7.7.3 Component benchmarking
7.7.4 Strategic initiatives
7.8 Sorcero
7.8.1 Company overview
7.8.2 Financial performance
7.8.3 Component benchmarking
7.8.4 Strategic Initiatives
7.9 Aktana
7.9.1 Company overview
7.9.2 Financial performance
7.9.3 Component benchmarking
7.9.4 Strategic Initiatives
7.10 Mosimtec, LLC
7.10.1 Company overview
7.10.2 Financial performance
7.10.3 Component benchmarking
7.10.4 Strategic Initiatives
7.11 Aon plc
7.11.1 Company overview
7.11.2 Financial performance
7.11.3 Component benchmarking
7.11.4 Strategic Initiatives
7.12 Zenith Technologies
7.12.1 Company overview
7.12.2 Financial performance
7.12.3 Component benchmarking
7.12.4 Strategic Initiatives
7.13 ZS Associates
7.13.1 Company overview
7.13.2 Financial performance
7.13.3 Component benchmarking
7.13.4 Strategic Initiatives
7.14 Locuz
7.14.1 Company overview
7.14.2 Financial performance
7.14.3 Component benchmarking
7.14.4 Strategic Initiatives
7.15 Puresoftware
7.15.1 Company overview
7.15.2 Financial performance
7.15.3 Component benchmarking
7.15.4 Strategic Initiatives
List of Tables
Table 1: Germany key country dynamics
Table 2: UK key country dynamics
Table 3: France key country dynamics
Table 4: Spain key country dynamics
Table 5: Switzerland key country dynamics
Table 6: Belgium key country dynamics
Table 7: Ireland macro dynamics
Table 8: Key companies undertaking expansions
Table 9: Key companies undertaking acquisitions
Table 10: Key companies undertaking collaborations
Table 11: Key companies undertaking other initiatives
List of Figures
Fig. 1: Europe AI in life science analytics market segmentation
Fig. 2: Market research process
Fig. 3: Information procurement
Fig. 4: Primary research pattern
Fig. 5: Europe AI in life science analytics market: research methodology
Fig. 6: Europe AI in life science analytics market snapshot
Fig. 7: Europe AI in life science analytics segment snapshot (USD Million)
Fig. 8: Europe AI in life science analytics market competitive landscape snapshot
Fig. 9: Market research process
Fig. 10: Europe AI in life science analytics market dynamics
Fig. 11: Penetration and growth prospect mapping
Fig. 12: Europe AI in life sciences market - Porter’s analysis
Fig. 13: Europe AI in life sciences market - PEST analysis
Fig. 14: Europe AI in life science analytics market, application outlook key takeaways (USD Million)
Fig. 15: Europe AI in life science analytics market: application movement analysis,
Fig. 16: Target identification/translational research market estimates and forecast, 2018-2030 USD Million
Fig. 17: Hit to candidate identification market estimates and forecast, 2018-2030 (USD Million)
Fig. 18: Precision recruiting for clinical research/studies market estimates and forecast, 2018-2030 (USD Million)
Fig. 19: Regulatory and safety digitalization market estimates and forecast, 2018-2030 (USD Million)
Fig. 20: Digital clinical operations market estimates and forecast, 2018-2030 (USD Million)
Fig. 21: Decentralized trials market estimates and forecast, 2018-2030 (USD Million)
Fig. 22: Smart factory market estimates and forecast, 2018-2030 (USD Million)
Fig. 23: Net zero & sustainability market estimates and forecast, 2018-2030 (USD Million)
Fig. 24: Autonomous supply chains market estimates and forecast, 2018-2030 (USD million)
Fig. 25: Supplier risk management market estimates and forecast, 2018-2030 (USD Million)
Fig. 26: Digital twin market estimates and forecast, 2018-2030 (USD Million)
Fig. 27: Patient health and experience market estimates and forecast, 2018-2030 (USD Million)
Fig. 28: Content velocity market estimates and forecast, 2018-2030 (USD Million)
Fig. 29: Omnichannel engagement market estimates and forecast, 2018-2030 (USD Million)
Fig. 30: Next best engagement market estimates and forecast, 2018-2030 (USD Million)
Fig. 31: Gross to net market estimates and forecast, 2018-2030 (USD Million)
Fig. 32: Others market estimates and forecast, 2018-2030 (USD Million)
Fig. 33: Regional marketplace: Key takeaways (Part 1)
Fig. 34: Regional marketplace: Key takeaways (Part 2)
Fig. 35: Europe AI in life science analytics market: application movement analysis, 2023 & 2030
Fig. 36: Europe AI in life science analytics market estimates and forecasts, 2018-2030 (USD Million)
Fig. 37: Germany AI in life science analytics market estimates and forecasts, 2018-2030 (USD Million)
Fig. 38: UK AI in life science analytics market estimates and forecasts, 2018-2030 (USD Million)
Fig. 39: France AI in life science analytics market estimates and forecasts, 2018-2030 (USD Million)
Fig. 40: Spain AI in life science analytics market estimates and forecasts, 2018-2030 (USD Million)
Fig. 41: Switzerland AI in life science analytics market estimates and forecasts, 2018-2030 (USD Million)
Fig. 42: Belgium AI in life science analytics market estimates and forecasts, 2018-2030 (USD Million)
Fig. 43: Ireland AI in life science analytics market estimates and forecasts, 2018-2030 (USD Million)
Fig. 44: Heat map analysis
Fig. 45: List of key emerging companies/technology disruptors/innovators
Fig. 46: Company market position analysis
Fig. 47: Company market position analysis

Companies Mentioned

  • Axtria
  • Lexalytics
  • Databricks.
  • SAS Institute Inc.
  • Sisense
  • IQVIA
  • IBM
  • Sorcero
  • Aktana
  • Mosimtec, LLC
  • Aon plc
  • Zenith Technologies
  • ZS Associates
  • Locuz
  • Puresoftware

Methodology

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Table Information

Report AttributeDetails
No. of Pages100
PublishedJune 2023
Forecast Period2022 - 2030
Estimated Market Value ( USD ) in 2022 $ 410 Million
Forecasted Market Value ( USD ) by 2030 $ 905.5 Million
Compound Annual Growth Rate10.3%
Regions CoveredEurope
No. of Companies Mentioned15

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About the Life Science Analytics Market

The Life Science Analytics market within the context of Biotechnology is a rapidly growing sector that focuses on the development of data-driven solutions to improve the efficiency of biotechnology processes. It involves the use of advanced analytics and machine learning to analyze large datasets and identify patterns and trends in the data. This helps to improve the accuracy and speed of decision-making in the biotechnology industry. Life Science Analytics also helps to optimize the development of new products and services, as well as to improve the quality of existing products and services. The Life Science Analytics market is driven by the increasing demand for data-driven solutions in the biotechnology industry. This is due to the need for more efficient and cost-effective solutions to improve the productivity of biotechnology processes. Some of the companies in the Life Science Analytics market include IBM, Microsoft, Oracle, SAS, and SAP. Other companies include Accenture, Deloitte, EY, and KPMG. Show Less Read more

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