Asia Pacific artificial intelligence (AI) in drug discovery will grow by 33.2% over 2020-2026 with a total addressable market cap of $2.78 billion owing to fast adoption of AI technology in pharmaceutical industry and drug development.
Highlighted with 34 tables and 53 figures, this 121-page report “Asia Pacific Artificial Intelligence (AI) in Drug Discovery Market 2020-2026 by Offering, Technology, Drug Type, Therapeutic Area, Application, End User, and Country: Trend Forecast and Growth Opportunity” is based on a comprehensive research of the entire Asia Pacific AI in drug discovery market and all its sub-segments through extensively detailed classifications. Profound analysis and assessment are generated from premium primary and secondary information sources with inputs derived from industry professionals across the value chain. The report provides historical market data for 2015-2019, revenue estimates for 2020, and forecasts from 2021 till 2026. (Please note: The report will be updated before delivery so that the latest historical year is the base year and the forecast covers at least 5 years over the base year.)
In-depth qualitative analyses include identification and investigation of the following aspects:
• Market Structure
• Growth Drivers
• Restraints and Challenges
• Emerging Product Trends & Market Opportunities
• Porter’s Fiver Forces
The trend and outlook of Asia Pacific market is forecast in optimistic, balanced, and conservative view by taking into account of COVID-19. The balanced (most likely) projection is used to quantify Asia Pacific AI in drug discovery market in every aspect of the classification from perspectives of Offering, Technology, Drug Type, Therapeutic Area, Application, End User, and Country.
Based on offering, the Asia Pacific market is segmented into the following sub-markets with annual revenue for 2015-2026 (historical and forecast) included in each section.
• Software
• Service
Based on technology, the Asia Pacific market is segmented into the following sub-markets with annual revenue for 2015-2026 (historical and forecast) included in each section.
• Deep Learning
• Supervised Learning
• Reinforcement Learning
• Unsupervised Learning
• Other Technologies
Based on drug type, the Asia Pacific market is segmented into the following sub-markets with annual revenue for 2015-2026 (historical and forecast) included in each section.
• Large-molecule Drugs
• Small-molecular Drugs
Based on therapeutic area, the Asia Pacific market is segmented into the following sub-markets with annual revenue for 2015-2026 (historical and forecast) included in each section.
• Oncology
• Neurodegenerative Diseases
• Cardiovascular Disease
• Metabolic Diseases
• Other Therapeutic Areas
Based on application, the Asia Pacific market is segmented into the following sub-markets with annual revenue for 2015-2026 (historical and forecast) included in each section.
• Information & Data Analysis
• Drug Design
• Drug Evaluation
• Clinical Trials
• Other Applications
Based on end user, the Asia Pacific market is segmented into the following sub-markets with annual revenue for 2015-2026 (historical and forecast) included in each section.
• Pharmaceutical & Biotechnology Companies
• Academic & Research Institutes
• Contract Research Organizations
Geographically, the following national/local markets are fully investigated:
• Japan
• China
• South Korea
• Australia
• India
• Rest of APAC (further segmented into Malaysia, Singapore, Indonesia, Thailand, New Zealand, Vietnam, and Sri Lanka)
For each of the aforementioned countries, detailed analysis and data for annual revenue are available for 2015-2026. The breakdown of key national markets by Technology, Therapeutic Area, and End User over the forecast years are also included.
The report also covers current competitive scenario and the predicted trend; and profiles key vendors including market leaders and important emerging players.
Specifically, potential risks associated with investing in Asia Pacific AI in drug discovery market are assayed quantitatively and qualitatively through GMD’s Risk Assessment System. According to the risk analysis and evaluation, Critical Success Factors (CSFs) are generated as a guidance to help investors & stockholders identify emerging opportunities, manage and minimize the risks, develop appropriate business models, and make wise strategies and decisions.
Key Players (this may not be a complete list and extra companies can be added upon request):
Atomwise, Inc.
BenevolentAI
Berg LLC
Bioage
BIOAGE
Cloud Pharmaceuticals, Inc.
Cyclica
Deep Genomics
Envisagenics
Exscientia
Google
IBM Corporation
Insilico Medicine
Microsoft Corporation
Numedii, Inc.
Numerate
NVIDIA Corporation
Owkin, Inc.
Twoxar, Incorporated
Verge Genomics
Xtalpi, Inc.
(Please note: The report will be updated before delivery so that the latest historical year is the base year and the forecast covers at least 5 years over the base year.)
1 Introduction 7
1.1 Industry Definition and Research Scope 7
1.1.1 Industry Definition 7
1.1.2 Research Scope 8
1.2 Research Methodology 11
1.2.1 Overview of Market Research Methodology 11
1.2.2 Market Assumption 12
1.2.3 Secondary Data 12
1.2.4 Primary Data 12
1.2.5 Data Filtration and Model Design 14
1.2.6 Market Size/Share Estimation 15
1.2.7 Research Limitations 16
1.3 Executive Summary 17
2 Market Overview and Dynamics 20
2.1 Market Size and Forecast 20
2.2 Major Growth Drivers 22
2.3 Market Restraints and Challenges 25
2.4 Emerging Opportunities and Market Trends 28
2.5 Porter’s Fiver Forces Analysis 32
3 Segmentation of Asia Pacific Market by Offering 36
3.1 Market Overview by Offering 36
3.2 Software 38
3.3 Service 39
4 Segmentation of Asia Pacific Market by Technology 40
4.1 Market Overview by Technology 40
4.2 Deep Learning 42
4.3 Supervised Learning 43
4.4 Reinforcement Learning 44
4.5 Unsupervised Learning 45
4.6 Other Technologies 46
5 Segmentation of Asia Pacific Market by Drug Type 47
5.1 Market Overview by Drug Type 47
5.2 Large-molecule Drugs 49
5.3 Small-molecular Drugs 50
6 Segmentation of Asia Pacific Market by Therapeutic Area 51
6.1 Market Overview by Therapeutic Area 51
6.2 Oncology 54
6.3 Neurodegenerative Diseases 55
6.4 Cardiovascular Disease 56
6.5 Metabolic Diseases 57
6.6 Other Therapeutic Areas 58
7 Segmentation of Asia Pacific Market by Application 59
7.1 Market Overview by Application 59
7.2 Information & Data Analysis 61
7.3 Drug Design 62
7.4 Drug Evaluation 63
7.5 Clinical Trials 64
7.6 Other Applications 65
8 Segmentation of Asia Pacific Market by End User 66
8.1 Market Overview by End User 66
8.2 Pharmaceutical & Biotechnology Companies 68
8.3 Academic & Research Institutes 69
8.4 Contract Research Organizations 70
9 Asia-Pacific Market 2019-2026 by Country 71
9.1 Overview of Asia-Pacific Market 71
9.2 China 74
9.3 Japan 76
9.4 India 79
9.5 Australia 81
9.6 South Korea 83
9.7 Rest of APAC Region 85
10 Competitive Landscape 87
10.1 Overview of Key Vendors 87
10.2 New Product Launch, Partnership, Investment, and M&A 92
10.3 Company Profiles 93
Atomwise, Inc. 93
BenevolentAI 95
Berg LLC 96
Bioage 97
BIOAGE 98
Cloud Pharmaceuticals, Inc. 99
Cyclica 100
Deep Genomics 101
Envisagenics 102
Exscientia 103
Google 104
IBM Corporation 105
Insilico Medicine 106
Microsoft Corporation 107
Numedii, Inc. 108
Numerate 109
NVIDIA Corporation 110
Owkin, Inc. 111
Twoxar, Incorporated 112
Verge Genomics 113
Xtalpi, Inc. 114
11 Investing in Asia Pacific Market: Risk Assessment and Management 115
11.1 Risk Evaluation of Asia Pacific Market 115
11.2 Critical Success Factors (CSFs) 118
Related Reports and Products 121
Table 1. Snapshot of Asia Pacific AI in Drug Discovery Market, 2019-2026 18
Table 2. Main Product Trends and Market Opportunities in Asia Pacific AI in Drug Discovery Market 28
Table 3. Asia Pacific AI in Drug Discovery Market by Offering, 2015-2026, $ mn 36
Table 4. Asia Pacific AI in Drug Discovery Market by Technology, 2015-2026, $ mn 40
Table 5. Asia Pacific AI in Drug Discovery Market by Drug Type, 2015-2026, $ mn 47
Table 6. Asia Pacific AI in Drug Discovery Market by Therapeutic Area, 2015-2026, $ mn 51
Table 7. Selected Drug Development Pipelines Aided by AI 53
Table 8. Asia Pacific AI in Drug Discovery Market by Application, 2015-2026, $ mn 59
Table 9. Asia Pacific AI in Drug Discovery Market by End User, 2015-2026, $ mn 66
Table 10. APAC AI in Drug Discovery Market by Country, 2015-2026, $ mn 72
Table 11. China AI in Drug Discovery Market by Technology, 2015-2026, $ mn 75
Table 12. China AI in Drug Discovery Market by Therapeutic Area, 2015-2026, $ mn 75
Table 13. China AI in Drug Discovery Market by End User, 2015-2026, $ mn 75
Table 14. Japan AI in Drug Discovery Market by Technology, 2015-2026, $ mn 78
Table 15. Japan AI in Drug Discovery Market by Therapeutic Area, 2015-2026, $ mn 78
Table 16. Japan AI in Drug Discovery Market by End User, 2015-2026, $ mn 78
Table 17. India AI in Drug Discovery Market by Technology, 2015-2026, $ mn 80
Table 18. India AI in Drug Discovery Market by Therapeutic Area, 2015-2026, $ mn 80
Table 19. India AI in Drug Discovery Market by End User, 2015-2026, $ mn 80
Table 20. Australia AI in Drug Discovery Market by Technology, 2015-2026, $ mn 82
Table 21. Australia AI in Drug Discovery Market by Therapeutic Area, 2015-2026, $ mn 82
Table 22. Australia AI in Drug Discovery Market by End User, 2015-2026, $ mn 82
Table 23. South Korea AI in Drug Discovery Market by Technology, 2015-2026, $ mn 84
Table 24. South Korea AI in Drug Discovery Market by Therapeutic Area, 2015-2026, $ mn 84
Table 25. South Korea AI in Drug Discovery Market by End User, 2015-2026, $ mn 84
Table 26. AI in Drug Discovery Market in Rest of APAC by Country, 2015-2026, $ mn 86
Table 27. Use Cases of AI for Drug Discovery by Selected Pharmaceutical Companies 90
Table 28. Atomwise, Inc.: Company Snapshot 93
Table 29. Atomwise, Inc.: Business Segmentation 93
Table 30. Atomwise, Inc.: Product Portfolio 94
Table 31. Atomwise, Inc.: Revenue, 2016-2018, $ mn 94
Table 32. Atomwise, Inc.: Recent Developments 94
Table 33. Risk Evaluation for Investing in Asia Pacific Market, 2019-2026 116
Table 34. Critical Success Factors and Key Takeaways 119
