Global Markets for Machine Learning in the Life Sciences
Report Scope:
This report highlights the current and future market potential for machine learning in life sciences and provides a detailed analysis of the competitive environment, regulatory scenario, drivers, restraints, opportunities and trends in the market. The report also covers market projections from 2022 through 2027 and profiles key market players. BCC Research analyzes each technology in detail, determines major players and current market status, and presents forecasts of growth over the next five years. Scientific challenges and advances, including the latest trends, are highlighted. Government regulations, major collaborations, recent patents and factors affecting the industry from a global perspective are examined.
Key machine learning in life sciences technologies and products are analyzed to determine present and future market status, and growth is forecast from 2022 to 2027. An in-depth discussion of strategic alliances, industry structures, competitive dynamics, patents and market driving forces is also provided.
Report Includes:
32 data tables and 28 additional tables
A comprehensive overview and up-to-date analysis of the global markets for machine learning in life sciences industry
Analyses of the global market trends, with historic market revenue data for 2020 and 2021, estimates for 2022, and projections of compound annual growth rates (CAGRs) through 2027
Highlights of the current and future market potential for ML in life sciences application, and areas of focus to forecast this market into various segments and sub-segments
Estimation of the actual market size for machine learning in life sciences in USD million values, and corresponding market share analysis based on solutions offering, mode of deployment, application, and geographic region
Updated information on key market drivers and opportunities, industry shifts and regulations, and other demographic factors that will influence this market demand in the coming years (2022-2027)
Discussion of the viable technology drivers through a holistic review of various platform technologies for new and existing applications of machine learning in the life sciences areas
Identification of the major stakeholders and analysis of the competitive landscape based on recent developments and segmental revenues
Emphasis on the major growth strategies adopted by leading players of the global machine learning in life sciences market, their product launches, key acquisitions, and competitive benchmarking
Profile descriptions of the leading market players, including Alteryx Inc., Canon Medical Systems Corp., Hewlett Packard Enterprise (HPE), KNIME AG, Microsoft Corp., and Phillips Healthcare
Companies Mentioned
ALTERYX INC.
ANACONDA, INC.
CANON MEDICAL SYSTEMS CORP.
ENLITIC INC.
HEWLETT PACKARD ENTERPRISE (HPE)
IBM CORP.
IMAGEN TECHNOLOGIES
INTEL CORP.
KNIME AG
MICROSOFT CORP.
NVIDIA
ORACLE CORP.
PHILIPS HEALTHCARE
SAS INSTITUTE INC.
- Chapter 1 Introduction
- 1.1 Study Goals and Objectives
- 1.2 Reasons for Doing the Study
- 1.3 Intended Audience
- 1.4 Scope and Format
- 1.5 Methodology
- 1.6 Information Sources
- 1.7 Geographical Breakdown
- 1.8 Analyst's Credentials
- 1.9 BCC Custom Research
- 1.10 Related BCC Research Reports
- Chapter 2 Summary and Highlights
- Chapter 3 Market Overview
- 3.1 Introduction
- 3.1.1 Understanding Artificial Intelligence in Healthcare
- 3.1.2 Artificial Intelligence in Healthcare Evolution and Transition
- Chapter 4 Impact of the COVID-19 Pandemic
- 4.1 Introduction
- 4.1.1 Impact of COVID-19 on the Market
- Chapter 5 Market Dynamics
- 5.1 Market Drivers
- 5.1.1 Investment in AI Health Sector
- 5.1.2 Rising Chronic Diseases
- 5.1.3 Advanced, Precise Results
- 5.1.4 Increasing Research and Development Budget
- 5.2 Market Restraints and Challenges
- 5.2.1 Reluctance Among Medical Practitioners to Adopt AI-Based Technologies
- 5.2.2 Privacy and Security of User Data
- 5.2.3 Hackers and Machine Learning
- 5.2.4 Ambiguous Regulatory Guidelines for Medical Software
- 5.3 Market Opportunities
- 5.3.1 Untapped Potential in Emerging Markets
- 5.4 Value Chain Analysis
- Chapter 6 Market Breakdown by Offering
- 6.1 Software
- 6.1.1 Market Size and Forecast
- 6.2 Services
- 6.2.1 Market Size and Forecast
- Chapter 7 Market Breakdown by Deployment Mode
- 7.1 Cloud
- 7.1.1 Market Size and Forecast
- 7.2 On-premises
- 7.2.1 Market Size and Forecast
- Chapter 8 Market Breakdown by Application
- 8.1 Diagnosis
- 8.1.1 Market Size and Forecast
- 8.2 Therapy
- 8.2.1 Market Size and Forecast
- 8.3 Healthcare Management
- 8.3.1 Market Size and Forecast
- Chapter 9 Market Breakdown by Region
- 9.1 Global Market
- 9.2 North America
- 9.2.1 U.S.
- 9.2.1 Canada
- 9.3 Europe
- 9.3.1 Germany
- 9.3.2 U.K.
- 9.3.3 France
- 9.3.4 Italy
- 9.3.5 Spain
- 9.3.6 Rest of Europe
- 9.4 Asia-Pacific
- 9.4.1 China
- 9.4.2 Japan
- 9.4.3 India
- 9.4.4 Rest of Asia-Pacific
- 9.5 Rest of the World
- Chapter 10 Regulations and Finance
- 10.1 Regulatory Framework
- 10.1.1 American Diabetes Association's Standards of Medical Care in Diabetes
- 10.1.2 ATA Guidelines for Artificial Intelligence
- 10.1.3 Indian AI Guidelines, Strategy, and Standards
- Chapter 11 Competitive Landscape
- 11.1 Overview
- 11.1.1 Development
- 11.1.2 Cloud
- 11.1.3 Users
- 11.1.4 Parent Market: Global Artificial Intelligence Market
- Chapter 12 Company Profiles
- ALTERYX INC.
- ANACONDA, INC.
- CANON MEDICAL SYSTEMS CORP.
- ENLITIC INC.
- HEWLETT PACKARD ENTERPRISE (HPE)
- IMAGEN TECHNOLOGIES
- IBM CORP.
- INTEL CORP.
- KNIME AG
- MICROSOFT CORP.
- NVIDIA
- ORACLE CORP.
- PHILIPS HEALTHCARE
- SAS INSTITUTE INC.
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