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Global Markets for Machine Learning in the Life Sciences

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
Table of Contents

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.

List of Tables
Summary Table : Global Market for Machine Learning in the Life Sciences, by Region, Through 2027
Table 1 : Regional User Data Privacy Acts
Table 2 : Cancer Statistics Across Major Asian Countries, by Cancer Site/Type, 2020
Table 3 : Global Market for Machine Learning in the Life Sciences, by Offering, Through 2027
Table 4 : Global Market for Software in Machine Learning in the Life Sciences, by Region, Through 2027
Table 5 : Global Market for Services in Machine Learning in the Life Sciences, by Region, Through 2027
Table 6 : Global Market for Machine Learning in the Life Sciences, by Deployment Mode, Through 2027
Table 7 : Global Market for Cloud Deployment in Machine Learning in the Life Sciences, by Region, Through 2027
Table 8 : Global Market for On-premise Deployment of Machine Learning in the Life Sciences, by Region, Through 2027
Table 9 : Global Market for Machine Learning in the Life Sciences, by Application, Through 2027
Table 10 : Global Market for Machine Learning in Diagnostic Applications, by Region, Through 2027
Table 11 : Global Market for Machine Learning in Therapeutic Applications, by Region, Through 2027
Table 12 : Global Market for Machine Learning in Healthcare Management Applications, by Region, Through 2027
Table 13 : Global Market for Machine Learning in the Life Sciences, by Region, Through 2027
Table 14 : North American Market for Machine Learning in the Life Sciences, by Offering, Through 2027
Table 15 : North American Market for Machine Learning in the Life Sciences, by Deployment Mode, Through 2027
Table 16 : North American Market for Machine Learning in the Life Sciences, by Application, Through 2027
Table 17 : North American Market for Machine Learning in the Life Sciences, by Country, Through 2027
Table 18 : European Market for Machine Learning in the Life Sciences, by Offering, Through 2027
Table 19 : European Market for Machine Learning in the Life Sciences, by Deployment Mode, Through 2027
Table 20 : European Market for Machine Learning in the Life Sciences, by Application, Through 2027
Table 21 : European Market for Machine Learning in the Life Sciences, by Country, Through 2027
Table 22 : Asia-Pacific Market for Machine Learning in the Life Sciences, by Offering, Through 2027
Table 23 : Asia-Pacific Market for Machine Learning in the Life Sciences, by Deployment Mode, Through 2027
Table 24 : Asia-Pacific Market for Machine Learning in the Life Sciences, by Application, Through 2027
Table 25 : Asia-Pacific Market for Machine Learning in the Life Sciences, by Country, Through 2027
Table 26 : Number of New Cancer Cases in Japan, by Cancer Type/Site, 2020
Table 27 : Rest of the World Market for Machine Learning in the Life Sciences, by Offering, Through 2027
Table 28 : Rest of the World Market for Machine Learning in the Life Sciences, by Deployment Mode, Through 2027
Table 29 : Rest of the World Market for Machine Learning in the Life Sciences, by Application, Through 2027
Table 30 : Regulations Pertaining to the Market for Machine Learning in the Life Sciences, by Select Countries
Table 31 : Alteryx: Products and Services
Table 32 : Alteryx: Recent Developments, 2020–2021
Table 33 : Anaconda, Inc.: Products and Services
Table 34 : Anaconda, Inc.: Recent Developments, 2021
Table 35 : Canon Medical: Company Financials, 2019 and 2020
Table 36 : Canon Medical: Product Portfolio
Table 37 : Canon Medical: Strategies and Development, 2020–2021
Table 38 : Enlitic Inc.: Product Portfolio
Table 39 : HPE: Products and Services
Table 40 : HPE: Recent Developments, 2020–2021
Table 41 : Imagen: Product Portfolio
Table 42 : IBM Corp.: Products and Services
Table 43 : IBM Corp.: Recent Developments, 2020–2021
Table 44 : Intel Corp.: Products and Services
Table 45 : Intel Corp.: Recent Developments, 2020–2021
Table 46 : Knime AG: Products and Services
Table 47 : Knime AG: Recent Developments, 2020
Table 48 : Microsoft Corp.: Products and Services
Table 49 : Microsoft Corp.: Recent Developments, 2020-2021
Table 50 : Nvidia: Company Financials, 2019 and 2020
Table 51 : Nvidia: Product Portfolio
Table 52 : Nvidia: Recent Development, 2020
Table 53 : Oracle Corp.: Products and Services
Table 54 : Oracle Corp.: Recent Developments, 2021
Table 55 : Phillips Healthcare: Company Financials, 2019 and 2020
Table 56 : Philips Healthcare: Product Portfolio
Table 57 : Phillips Healthcare: Strategies and Development, 2020–2021
Table 58 : SAS Institute, Inc.: Products and Services
Table 59 : SAS Institute, Inc.: Recent Developments, 2020-2021

Report Title: Global Markets for Machine Learning in the Life Sciences


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