Asia-Pacific Artificial Intelligence (AI) in Drug Discovery Market, By Application (Novel Drug Candidates, Drug Optimization and Repurposing Preclinical Testing and Approval, Drug Monitoring, Finding New Diseases Associated Targets and Pathways, Understanding Disease Mechanisms, Aggregating and Synthesizing Information, Formation & Qualification of Hypotheses, De Novo Drug Design, Finding Drug Targets of an Old Drug and Others), Technology (Machine Learning, Deep Learning, Natural Language Processing and Others), Drug Type (Small Molecule and Large Molecule), Offering (Software and Services), Indication (Immuno-Oncology, Neurodegenerative Diseases, Cardiovascular Diseases, Metabolic Diseases and Others), End Use (Contract Research Organizations (CROs), Pharmaceutical & Biotechnology Companies, Research Centers and Academic Institutes and Others) Industry Trends and Forecast to 2029.
Asia-Pacific Artificial Intelligence (AI) in Drug Discovery Market Analysis and Insights
Artificial Intelligence (AI) is expected to be a lucrative technology in the healthcare industry. The implementation of AI reduces R&D gap in the drug manufacturing process and helps in targeted manufacturing of drug. Hence, biopharmaceutical companies are turning to AI to enhance their market share. AI for drug discovery is a technology that uses machines to simulate human intelligence to solve complicated challenges in the drug development procedure.
The adoption of AI solutions in the clinical trial process eliminates possible obstacles, reduces clinical trial cycle time, and increases the productivity and accuracy of the clinical trial process. Technological advancements in AI for drug discovery and reduction in total time involved in drug discovery process are other factors driving the market growth in the forecast period. However, low quality and inconsistent available data will obstruct the market growth. Also, high cost associated with technology and technical limitations will restrain the market growth.
Data Bridge Market Research analyzes that the Asia-Pacific Artificial Intelligence (AI) in drug discovery market is expected to reach the value of USD 3,424.04 million by 2029, at a CAGR of 50.9% during the forecast period. Software accounts for the largest technology segment in the market due to rapid developments in technological advancements to commercialize the use of AI in drug discovery market. This market report also covers pricing analysis, patent analysis, and technological advancements in depth.
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Report Metric |
Details |
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Forecast Period |
2022 to 2029 |
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Base Year |
2021 |
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Historic Years |
2020 (Customizable to 2019-2014) |
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Quantitative Units |
Revenue in USD Million, Pricing in USD |
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Segments Covered |
By Application (Novel Drug Candidates, Drug Optimization and Repurposing Preclinical Testing and Approval, Drug Monitoring, Finding New Diseases Associated Targets and Pathways, Understanding Disease Mechanisms, Aggregating and Synthesizing Information, Formation & Qualification of Hypotheses, De Novo Drug Design, Finding Drug Targets of an Old Drug and Others), Technology (Machine Learning, Deep Learning, Natural Language Processing and Others), Drug Type (Small Molecule and Large Molecule), Offering (Software and Services), Indication (Immuno-Oncology, Neurodegenerative Diseases, Cardiovascular Diseases, Metabolic Diseases and Others), End Use (Contract Research Organizations (CROs), Pharmaceutical & Biotechnology Companies, Research Centers and Academic Institutes and Others) |
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Countries Covered |
China, Japan, India, South Korea, Singapore, Thailand, Malaysia, Australia & New Zealand, Philippines, Indonesia, rest of Asia-Pacific |
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Market Players Covered |
Some of the key players operating in the market are NVIDIA Corporation, IBM Corp., Atomwise Inc., Microsoft, Benevolent AI, Aria Pharmaceuticals, Inc., DEEP GENOMICS, Exscientia, Cloud, Insilico Medicine, Cyclica, NuMedii, Inc., Envisagenics, Owkin Inc., BERG LLC, Schrödinger, Inc., XtalPi Inc., and BIOAGE Inc. among others |
Asia-Pacific Artificial Intelligence (AI) in Drug Discovery Market Definition
AI has caught the attention and minds of medical technology practitioners in the past few years, as several companies and major research laboratories have worked to perfect these technologies for clinical use. The first commercialized demonstrations of how AI (also known as Deep Learning (DL), Machine Learning (ML), or Artificial Neural Networks (ANNs)) could assist clinicians are now available. These systems could lead to a paradigm shift in clinician workflow, and increase productivity while simultaneously enhancing treatment and patient throughput. AI for drug discovery is a technology that uses machines to simulate human intelligence to solve complicated challenges in the drug development procedure. The adoption of AI solutions in the clinical trial process eliminates possible obstacles, reduces clinical trial cycle time, and increases the productivity and accuracy of the clinical trial process. Therefore, the adoption of these advanced AI solutions in drug discovery processes is gaining popularity amongst life science industry stakeholders. In the pharmaceutical sector, it aids in the discovery of novel compounds, therapeutic target identification, and the development of customized medications. AI platforms used for drug discovery can prove to be a feasible option for deriving insights into the discovery of drugs to treat and minimize the severity of various chronic diseases.
Asia-Pacific Artificial Intelligence (AI) in Drug Discovery Market Dynamics
This section deals with understanding the market drivers, advantages, opportunities, restraints, and challenges. All of this is discussed in detail below:
Drivers
- Rise in incidence of chronic diseases propels need for AI in drug discovery
The incidence of chronic diseases is increasing at a rapid pace across the globe. According to the Centers for Disease Control and Prevention (CDC), six in 10 adults in the U.S. have a chronic disease. Furthermore, the CDC also highlights that chronic diseases such as heart disease and diabetes are the leading causes of death in the U.S. Such statistics shed light on the growing prevalence of chronic diseases and the need to bring down the fatality rate caused due to these diseases.
AI platforms used for drug discovery can prove to be a feasible option for deriving insights into the discovery of drugs to treat and minimize the severity of various chronic diseases. Thus, these factors are expected to act as a driver for the market growth during the forecast period.
- Strategic collaborations, partnerships, and products launch
AI has the potential to transform drug discovery by rapidly accelerating the R&D timeline, making drug development cheaper and faster, and improving the probability of approval. AI can also increase the effectiveness of drug repurposing research.
An increase in cross-industry alliances and collaborations drives the market. Rise in relevance of AI in drug discovery & development, and a surge in funding for R&D activities, including AI technology in the field of drug research, are projected to propel the global market growth. Hence, increase in cross-industry collaborations and partnerships is driving the market.
Restraint
- High cost associated with technology and technical limitations
The current healthcare sector is facing several complex challenges, such as the increased cost of drugs and therapies, and society needs specific significant changes in this area. The entire success of AI depends on the availability of a substantial amount of data because these data are used for the subsequent training provided to the system. Access to data from various database providers can incur extra costs for a company. Clinical trials are directed towards establishing the safety and efficacy of a drug product in humans for a particular disease condition and require six to seven years along with a substantial financial investment. However, only one out of ten molecules entering these trials gain successful clearance, which is a massive loss for the industry. These failures can result from inappropriate patient selection, shortage of technical requirements, and poor infrastructure. Thus, increasing costs with the technology is acting as a restraint for the market growth.
Opportunity
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Rise in the investments for R&D
The rise in R&D activities and increasing adoption of cloud-based services and applications will provide beneficial opportunities for market growth.
The industry of AI in biopharma continues to grow after a long period of sepsis. This is reflected in the ongoing flow of investments and increase in the number of collaborations between pharmaceutical corporations and AI companies in 2021 to the previous years. The Biopharma industry’s growth is largely influenced by the active engagement of leading pharmaceutical corporations in AI-related investments. The number of scientific publications in the field of AI in Biopharma, and research collaborations between pharma companies and AI-expertise vendors are rapidly increasing, yet, some pharma corporations are still critical of AI applications. ML and AI applications in the pharmaceutical and healthcare industries lead to the formation of a new interdisciplinary field of data-driven drug discovery in healthcare. Thus, rise in investment in R&D activities is acting as an opportunity for market growth.
Challenge
- Lack of skilled professionals
The shortage of skilled professionals is expected to hamper the market growth. The employees have to re-train or learn new skill sets to work efficiently on the complex AI machines to get the desired results for the drug. This challenge that prevents full-fledged adoption of AI in the pharmaceutical industry includes the lack of skilled personnel to operate AI-based platforms, limited budget for small organizations, apprehension of replacing humans leading to job loss, skepticism about the data generated by AI, and the black box phenomenon (that is, how the conclusions are reached by the AI platform). The shortage of skills acts as a major hindrance to drug discovery through AI, discouraging companies to adopt AI-based machines for drug discovery.
As skill demands are too high, it has manifested as a challenge to retain and manage skill-specified professionals. Moreover, technological advancement is another aspect that leads to the increased demand for skilled professionals. There is an urgent need for the education of professionals for AI-based technology. Lack of trained and experienced professionals and persistent skill gaps limit the employability prospects and access to quality jobs. It is therefore apparent that the availability of professionals equipped with adequate skills is challenging the market growth.
Post-COVID-19 Impact on Asia-Pacific Artificial Intelligence (AI) in Drug Discovery Market
The COVID-19 outbreak had a beneficial impact on the expansion of AI in drug discovery industry due to its widespread use by various organizations for the identification as well as screening of existing medicines used in the treatment of COVID-19. AI is useful in detecting active chemicals for the prevention of SARS-CoV, HIV, SARS-CoV-2, influenza virus, and others. During the pandemic, economies all over the world relied on AI-based medication discovery rather than traditional vaccine detection processes, which take years to create and are equally expensive, contributing to the growth of the market.
Manufacturers are making various strategic decisions to bounce back post-COVID-19. The players are conducting multiple R&D activities to improve the technology involved in the Wireless microphone. With this, the companies will bring advanced and accurate AI software to the market.
Recent Developments
- In March 2022, NVIDIA Corporation launched Clara Holoscan MGX to develop and deploy real-time AI applications. Clara Holoscan MGX expands the Clara Holoscan platform to provide an all-in-one, medical-grade reference architecture, as well as long-term software support, to accelerate innovation in the medical device industry. This will help the company for better AI performance in health sector for surgery, diagnostics, and drug discovery.
- In May 2022, Benevolent AI, a leading clinical-stage AI-enabled drug discovery company, announced that AstraZeneca has selected an additional novel target for Idiopathic Pulmonary Fibrosis (IPF) for its drug development portfolio, resulting in a milestone payment to Benevolent AI. This is the third novel target from the collaboration that has been identified using the Benevolent Platform across two disease areas, IPF and chronic kidney disease, and subsequently validated and selected for portfolio entry by AstraZeneca. This builds upon the recent extension of the collaboration with AstraZeneca to include two new disease areas, systemic lupus erythematosus, and heart failure, signed in January 2022. This has helped the company to make its collaboration stronger.
Asia-Pacific Artificial Intelligence (AI) in Drug Discovery Market Scope
Asia-Pacific Artificial Intelligence (AI) in drug discovery market is segmented into application, technology, drug type, offering, indication, and end use. The growth among segments helps you analyze niche pockets of growth and strategies to approach the market and determine your core application areas and the difference in your target markets.
APPLICATION
- Novel Drug Candidates
- Drug Optimization and Repurposing Preclinical Testing and Approval
- Drug Monitoring
- Finding New Diseases Associated Targets and Pathways
- Understanding Disease Mechanisms
- Aggregating and Synthesizing Information
- Formation & Qualification of Hypotheses
- De Novo Drug Design
- Finding Drug Targets of an Old Drug
- Others
Based on application, the market is segmented into novel drug candidates, drug optimization and repurposing preclinical testing and approval, drug monitoring, finding new diseases associated targets and pathways, understanding disease mechanisms, aggregating and synthesizing information, formation & qualification of hypotheses, de novo drug design, finding drug targets of an old drug, and others.
TECHNOLOGY
- Machine Learning (ML)
- Deep Learning (DL)
- Natural Language Processing (NLP)
- Others
Based on technology, the market is segmented into Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), and others.
DRUG TYPE
- Small Molecule
- Large Molecule
Based on drug type, the market is segmented into small molecule and large molecule.
OFFERING
- Software
- Services
Based on offering, the market is segmented into software and services.
INDICATION
- Immuno-Oncology
- Neurodegenerative Diseases
- Cardiovascular Diseases
- Metabolic Diseases
- Others
Based on indication, the market is segmented into immuno-oncology, neurodegenerative diseases, cardiovascular diseases, metabolic diseases, and others.
END USE
- Pharmaceutical & Biotechnology Companies
- Contract Research Organizations (CROs)
- Research Centres And Academic Institutes
- Others
Based on end use, the market is segmented into pharmaceutical & biotechnology companies, Contract Research Organizations (CROs), research centers and academic institutes, and others.
Asia-Pacific Artificial Intelligence (AI) in Drug Discovery Market Regional Analysis/Insights
The Asia-Pacific Artificial Intelligence (AI) in drug discovery market is analyzed and market size information is provided by application, technology, drug type, offering, indication, and end use.
The countries covered in this market report are China, Japan, India, South Korea, Singapore, Thailand, Malaysia, Australia & New Zealand, Philippines, Indonesia, rest of Asia-Pacific.
- In 2022, Asia-Pacific is the third most dominating region due to the higher demand for infectious diseases diagnostic kits due to increasing patient pool and rising awareness among people. China is expected to grow due to rise in technological advancements in AI for drug discovery.
The country section of the report also provides individual market impacting factors and changes in regulation in the market domestically that impact the current and future trends of the market. Data points such as new sales, replacement sales, country demographics, regulatory acts, and import-export tariffs are some of the major pointers used to forecast the market scenario for individual countries. Also, presence and availability of Asia-Pacific brands and their challenges faced due to large or scarce competition from local and domestic brands, and impact of sales channels are considered while providing forecast analysis of the country data.
Competitive Landscape and Asia-Pacific Artificial Intelligence (AI) in Drug Discovery Market Share Analysis
Asia-Pacific Artificial Intelligence (AI) in drug discovery market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in R&D, new market initiatives, production sites and facilities, company strengths and weaknesses, product launch, product trials pipelines, product approvals, patents, product width and breath, application dominance, technology lifeline curve. The above data points provided are only related to the company’s focus on the Asia-Pacific Artificial Intelligence (AI) in drug discovery market.
Some of the key players operating in the market are NVIDIA Corporation, IBM Corp., Atomwise Inc., Microsoft, Benevolent AI, Aria Pharmaceuticals, Inc., DEEP GENOMICS, Exscientia, Cloud, Insilico Medicine, Cyclica, NuMedii, Inc., Envisagenics, Owkin Inc., BERG LLC, Schrödinger, Inc., XtalPi Inc. and BIOAGE Inc. among others.
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Table of Content
1 INTRODUCTION
1.1 OBJECTIVES OF THE STUDY
1.2 MARKET DEFINITION
1.3 OVERVIEW OF ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET
1.4 CURRENCY AND PRICING
1.5 LIMITATIONS
1.6 MARKETS COVERED
2 MARKET SEGMENTATION
2.1 MARKETS COVERED
2.2 GEOGRAPHICAL SCOPE
2.3 YEARS CONSIDERED FOR THE STUDY
2.4 DBMR TRIPOD DATA VALIDATION MODEL
2.5 PRIMARY INTERVIEWS WITH KEY OPINION LEADERS
2.6 MULTIVARIATE MODELLING
2.7 MARKET APPLICATION COVERAGE GRID
2.8 SOURCE LIFELINE CURVE
2.9 DBMR MARKET POSITION GRID
2.1 VENDOR SHARE ANALYSIS
2.11 SECONDARY SOURCES
2.12 ASSUMPTIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHT
4.1 PESTEL ANALYSIS
4.2 PORETSR’S FIVE FORCES
5 MARKET OVERVIEW
5.1 DRIVERS
5.1.1 THE RISE IN INCIDENCE OF CHRONIC DISEASES PROPELS NEED FOR ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY
5.1.2 STRATEGIC COLLABORATIONS, PARTNERSHIPS, AND PRODUCTS LAUNCH
5.1.3 REDUCTION IN TOTAL TIME INVOLVED IN DRUG DISCOVERY PROCESS
5.1.4 ADVANCEMENT OF ARTIFICIAL INTELLIGENCE IN THE HEALTHCARE INDUSTRY
5.2 RESTRAINTS
5.2.1 HIGH COST ASSOCIATED WITH TECHNOLOGY AND TECHNICAL LIMITATIONS
5.2.2 DISADVANTAGES AND RISKS ASSOCIATED WITH AI IN DRUG DISCOVERY
5.2.3 LACK OF AVAILABLE QUALITY DATA
5.3 OPPORTUNITIES
5.3.1 RISE IN THE INVESTMENTS FOR R&D
5.3.2 RISING HEALTHCARE INFRASTRUCTURE
5.3.3 DEVELOPMENT OF NOVEL TOOLS
5.4 CHALLENGES
5.4.1 THE ASIA PACIFIC SHORTAGE OF AI TALENT
5.4.2 ETHICAL, LEGAL, AND REGULATORY ISSUES FOR AI ADOPTION IN THE PHARMACEUTICAL SCIENCES
6 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY OFFERING
6.1 OVERVIEW
6.2 SOFTWARE
6.2.1 INTEGRATED
6.2.2 STANDALONE
6.3 SERVICES
7 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY
7.1 OVERVIEW
7.2 MACHINE LEARNING (ML)
7.2.1 SUPERVISED LEARNING
7.2.2 UNSUPERVISED LEARNING
7.2.3 REINFORCEMENT LEARNING
7.3 DEEP LEARNING
7.4 NATURAL LANGUAGE PROCESSING (NLP)
7.5 OTHERS
8 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET , BY DRUG TYPE
8.1 OVERVIEW
8.2 SMALL MOLECULE
8.3 LARGE MOLECULE
9 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION
9.1 OVERVIEW
9.2 NOVEL DRUG CANDIDATES
9.2.1 PREDICT BIOACTIVITY OF SMALL MOLECULE
9.2.2 IDENTIFY BIOLOGICS TARGET
9.2.3 OTHERS
9.3 DRUG OPTIMISATION AND RE-PURPOSING PRE-CLINICAL TESTING AND APPROVAL
9.4 DRUG MONITORING
9.5 AGGREGATING AND SYNTHESIZING INFORMATION
9.6 DE NOVO DRUG DESIGN
9.7 FINDING DRUG TARGETS OF AN OLD DRUG
9.8 FORMATION & QUALIFICATION OF HYPOTHESES
9.9 UNDERSTANDING DISEASE MECHANISMS
9.1 FINDING NEW DISEASE-ASSOCIATED TARGETS AND PATHWAYS
9.11 OTHERS
10 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION
10.1 OVERVIEW
10.2 IMMUNE-ONCOLOGY
10.2.1 BREAST CANCER
10.2.2 LUNG CANCER
10.2.3 COLORECTAL CANCER
10.2.4 PROSTATE CANCER
10.2.5 PANCREATIC CANCER
10.2.6 BRAIN CANCER
10.2.7 LEUKEMIA
10.2.8 OTHERS
10.3 NEURODEGENERATIVE DISEASES
10.4 CARDIOVASCULAR DISEASES
10.5 METABOLIC DISEASES
10.6 OTHERS
11 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET , BY END USE
11.1 OVERVIEW
11.2 CONTRACT RESEARCH ORGANIZATIONS
11.3 PHARMACEUTICAL & BIOTECHNOLOGY COMPANIES
11.4 RESEARCH CENTERS AND ACADEMIC INSTITUTES
11.5 OTHERS
12 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION
12.1 ASIA-PACIFIC
12.1.1 CHINA
12.1.2 JAPAN
12.1.3 SOUTH KOREA
12.1.4 INDIA
12.1.5 AUSTRALIA & NEW ZEALAND
12.1.6 SINGAPORE
12.1.7 THAILAND
12.1.8 MALAYSIA
12.1.9 INDONESIA
12.1.10 PHILIPPINES
12.1.11 REST OF ASIA-PACIFIC
13 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: COMPANY LANDSCAPE
13.1 COMPANY SHARE ANALYSIS: ASIA PACIFIC
14 SWOT ANALYSIS
15 COMPANY PROFILES
15.1 NVIDIA CORPORATION
15.1.1 COMPANY SNAPSHOT
15.1.2 REVENUE ANALYSIS
15.1.3 COMPANY SHARE ANALYSIS
15.1.4 PRODUCT PORTFOLIO
15.1.5 RECENT DEVELOPMENTS
15.2 MICROSOFT
15.2.1 COMPANY SNAPSHOT
15.2.2 REVENUE ANALYSIS
15.2.3 COMPANY SHARE ANALYSIS
15.2.4 PRODUCT PORTFOLIO
15.2.5 RECENT DEVELOPMENT
15.3 IBM CORP
15.3.1 COMPANY SNAPSHOT
15.3.2 REVENUE ANALYSIS
15.3.3 COMPANY SHARE ANALYSIS
15.3.4 PRODUCT PORTFOLIO
15.3.5 RECENT DEVELOPMENT
15.4 SCHRÖDINGER, INC.
15.4.1 COMPANY SNAPSHOT
15.4.2 REVENUE ANALYSIS
15.4.3 COMPANY SHARE ANALYSIS
15.4.4 PRODUCT PORTFOLIO
15.4.5 RECENT DEVELOPMENTS
15.5 BERG LLC
15.5.1 COMPANY SNAPSHOT
15.5.2 COMPANY SHARE ANALYSIS
15.5.3 PRODUCT PORTFOLIO
15.5.4 RECENT DEVELOPMENTS
15.6 ARDIGEN
15.6.1 COMPANY SNAPSHOT
15.6.2 PRODUCT PORTFOLIO
15.6.3 RECENT DEVELOPMENTS
15.7 EXSCIENTIA
15.7.1 COMPANY SNAPSHOT
15.7.2 REVENUE ANALYSIS
15.7.3 PRODUCT PORTFOLIO
15.7.4 RECENT DEVELOPMENTS
15.8 ARIA PHARMACEUTICALS, INC.
15.8.1 COMPANY SNAPSHOT
15.8.2 PRODUCT PORTFOLIO
15.8.3 RECENT DEVELOPMENTS
15.9 ATOMWISE INC.
15.9.1 COMPANY SNAPSHOT
15.9.2 PRODUCT PORTFOLIO
15.9.3 RECENT DEVELOPMENTS
15.1 BENEVOLENT AI
15.10.1 COMPANY SNAPSHOT
15.10.2 REVENUE ANALYSIS
15.10.3 PRODUCT PORTFOLIO
15.10.4 RECENT DEVELOPMENTS
15.11 BIOAGE INC.,
15.11.1 COMPANY SNAPSHOT
15.11.2 PRODUCT PORTFOLIO
15.11.3 RECENT DEVELOPMENTS
15.12 CLOUD
15.12.1 COMPANY SNAPSHOT
15.12.2 PRODUCT PORTFOLIO
15.12.3 RECENT DEVELOPMENT
15.13 CYCLICA
15.13.1 COMPANY SNAPSHOT
15.13.2 PRODUCT PORTFOLIO
15.13.3 RECENT DEVELOPMENTS
15.14 DEEP GENOMICS
15.14.1 COMPANY SNAPSHOT
15.14.2 PRODUCT PORTFOLIO
15.14.3 RECENT DEVELOPMENTS
15.15 ENVISAGENICS
15.15.1 COMPANY SNAPSHOT
15.15.2 PRODUCT PORTFOLIO
15.15.3 RECENT DEVELOPMENTS
15.16 INSILICO MEDICINE
15.16.1 COMPANY SNAPSHOT
15.16.2 PRODUCT PORTFOLIO
15.16.3 RECENT DEVELOPMENTS
15.17 NUMEDII, INC.
15.17.1 COMPANY SNAPSHOT
15.17.2 PRODUCT PORTFOLIO
15.17.3 RECENT DEVELOPMENT
15.18 OWKIN INC.
15.18.1 COMPANY SNAPSHOT
15.18.2 PRODUCT PORTFOLIO
15.18.3 RECENT DEVELOPMENT
15.19 XTALPI INC.
15.19.1 COMPANY SNAPSHOT
15.19.2 PRODUCT PORTFOLIO
15.19.3 RECENT DEVELOPMENTS
16 QUESTIONNAIRE
17 RELATED REPORTS
List of Table
TABLE 1 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 2 ASIA PACIFIC SOFTWARE IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 3 ASIA PACIFIC SOFTWARE IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 4 ASIA PACIFIC SERVICES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 5 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 6 ASIA PACIFIC MACHINE LEARNING (ML) IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 7 ASIA PACIFIC MACHINE LEARNING (ML) IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 8 ASIA PACIFIC DEEP LEARNING IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 9 ASIA PACIFIC NATURAL LANGUAGE PROCESSING (NLP) IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 10 ASIA PACIFIC OTHERS IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 11 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY DRUG TYPE, 2020-2029 (USD MILLION)
TABLE 12 ASIA PACIFIC SMALL MOLECULE IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 13 ASIA PACIFIC LARGE MOLECULE IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 14 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 15 ASIA PACIFIC NOVEL DRUG CANDIDATES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 16 ASIA PACIFIC NOVEL DRUG CANDIDATES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 17 ASIA PACIFIC DRUG OPTIMISATION AND RE-PURPOSING PRE-CLINICAL TESTING AND APPROVAL IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 18 ASIA PACIFIC DRUG MONITORING IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 19 ASIA PACIFIC AGGREGATING AND SYNTHESIZING INFORMATION IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 20 ASIA PACIFIC DE NOVO DRUG DESIGN IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 21 ASIA PACIFIC FINDING DRUG TARGETS OF AN OLD DRUG IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 22 ASIA PACIFIC FORMATION & QUALIFICATION OF HYPOTHESES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 23 ASIA PACIFIC UNDERSTANDING DISEASE MECHANISMS IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 24 ASIA PACIFIC FINDING NEW DISEASE-ASSOCIATED TARGETS AND PATHWAYS IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 25 ASIA PACIFIC OTHERS IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 26 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 27 ASIA PACIFIC IMMUNO-ONCOLOGY IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 28 ASIA PACIFIC IMMUNO-ONCOLOGY IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 29 ASIA PACIFIC NEURODEGENERATIVE DISEASES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 30 ASIA PACIFIC CARDIOVASCULAR DISEASES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 31 ASIA PACIFIC METABOLIC DISEASES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 32 ASIA PACIFIC OTHERS IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 33 GLOB ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY END USE, 2020-2029 (USD MILLION)
TABLE 34 ASIA PACIFIC CONTRACT RESEARCH ORGANIZATIONS IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 35 ASIA PACIFIC PHARMACEUTICAL & BIOTECHNOLOGY COMPANIES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 36 ASIA PACIFIC RESEARCH CENTRES AND ACADEMIC INSTITUTES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 37 ASIA PACIFIC OTHERS IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 38 ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY COUNTRY, 2020-2029 (USD MILLION)
TABLE 39 ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 40 ASIA-PACIFIC SOFTWARE IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 41 ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 42 ASIA-PACIFIC MACHINE LEARNING (ML) IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 43 ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY DRUG TYPE, 2020-2029 (USD MILLION)
TABLE 44 ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 45 ASIA-PACIFIC NOVEL DRUG CANDIDATES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 46 ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 47 ASIA-PACIFIC IMMUNO-ONCOLOGY IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 48 ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY END USE, 2020-2029 (USD MILLION)
TABLE 49 CHINA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 50 CHINA SOFTWARE IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 51 CHINA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 52 CHINA MACHINE LEARNING (ML) IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 53 CHINA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY DRUG TYPE, 2020-2029 (USD MILLION)
TABLE 54 CHINA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 55 CHINA NOVEL DRUG CANDIDATES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 56 CHINA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 57 CHINA IMMUNO-ONCOLOGY IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 58 CHINA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY END USE, 2020-2029 (USD MILLION)
TABLE 59 JAPAN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 60 JAPAN SOFTWARE IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 61 JAPAN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 62 JAPAN MACHINE LEARNING (ML) IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 63 JAPAN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY DRUG TYPE, 2020-2029 (USD MILLION)
TABLE 64 JAPAN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 65 JAPAN NOVEL DRUG CANDIDATES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 66 JAPAN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 67 JAPAN IMMUNO-ONCOLOGY IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 68 JAPAN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY END USE, 2020-2029 (USD MILLION)
TABLE 69 SOUTH KOREA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 70 SOUTH KOREA SOFTWARE IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 71 SOUTH KOREA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 72 SOUTH KOREA MACHINE LEARNING (ML) IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 73 SOUTH KOREA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY DRUG TYPE, 2020-2029 (USD MILLION)
TABLE 74 SOUTH KOREA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 75 SOUTH KOREA NOVEL DRUG CANDIDATES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 76 SOUTH KOREA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 77 SOUTH KOREA IMMUNO-ONCOLOGY IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 78 SOUTH KOREA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY END USE, 2020-2029 (USD MILLION)
TABLE 79 INDIA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 80 INDIA SOFTWARE IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 81 INDIA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 82 INDIA MACHINE LEARNING (ML) IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 83 INDIA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY DRUG TYPE, 2020-2029 (USD MILLION)
TABLE 84 INDIA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 85 INDIA NOVEL DRUG CANDIDATES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 86 INDIA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 87 INDIA IMMUNO-ONCOLOGY IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 88 INDIA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY END USE, 2020-2029 (USD MILLION)
TABLE 89 AUSTRALIA & NEW ZEALAND ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 90 AUSTRALIA & NEW ZEALAND SOFTWARE IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 91 AUSTRALIA & NEW ZEALAND ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 92 AUSTRALIA & NEW ZEALAND MACHINE LEARNING (ML) IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 93 AUSTRALIA & NEW ZEALAND ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY DRUG TYPE, 2020-2029 (USD MILLION)
TABLE 94 AUSTRALIA & NEW ZEALAND ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 95 AUSTRALIA & NEW ZEALAND NOVEL DRUG CANDIDATES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 96 AUSTRALIA & NEW ZEALAND ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 97 AUSTRALIA & NEW ZEALAND IMMUNO-ONCOLOGY IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 98 AUSTRALIA & NEW ZEALAND ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY END USE, 2020-2029 (USD MILLION)
TABLE 99 SINGAPORE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 100 SINGAPORE SOFTWARE IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 101 SINGAPORE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 102 SINGAPORE MACHINE LEARNING (ML) IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 103 SINGAPORE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY DRUG TYPE, 2020-2029 (USD MILLION)
TABLE 104 SINGAPORE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 105 SINGAPORE NOVEL DRUG CANDIDATES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 106 SINGAPORE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 107 SINGAPORE IMMUNO-ONCOLOGY IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 108 SINGAPORE AARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY END USE, 2020-2029 (USD MILLION)
TABLE 109 THAILAND ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 110 THAILAND SOFTWARE IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 111 THAILAND ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 112 THAILAND MACHINE LEARNING (ML) IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 113 THAILAND ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY DRUG TYPE, 2020-2029 (USD MILLION)
TABLE 114 THAILAND ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 115 THAILAND NOVEL DRUG CANDIDATES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 116 THAILAND ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 117 THAILAND IMMUNO-ONCOLOGY IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 118 THAILAND ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY END USE, 2020-2029 (USD MILLION)
TABLE 119 MALAYSIA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 120 MALAYSIA SOFTWARE IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 121 MALAYSIA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 122 MALAYSIA MACHINE LEARNING (ML) IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 123 MALAYSIA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY DRUG TYPE, 2020-2029 (USD MILLION)
TABLE 124 MALAYSIA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 125 MALAYSIA NOVEL DRUG CANDIDATES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 126 MALAYSIA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 127 MALAYSIA IMMUNO-ONCOLOGY IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 128 MALAYSIA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY END USE, 2020-2029 (USD MILLION)
TABLE 129 INDONESIA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 130 INDONESIA SOFTWARE IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 131 INDONESIA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 132 INDONESIA MACHINE LEARNING (ML) IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 133 INDONESIA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY DRUG TYPE, 2020-2029 (USD MILLION)
TABLE 134 INDONESIA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 135 INDONESIA NOVEL DRUG CANDIDATES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 136 INDONESIA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 137 INDONESIA IMMUNO-ONCOLOGY IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 138 INDONESIA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY END USE, 2020-2029 (USD MILLION)
TABLE 139 PHILIPPINES ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 140 PHILIPPINES SOFTWARE IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 141 PHILIPPINES ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 142 PHILIPPINES MACHINE LEARNING (ML) IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 143 PHILIPPINES ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY DRUG TYPE, 2020-2029 (USD MILLION)
TABLE 144 PHILIPPINES ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 145 PHILIPPINES NOVEL DRUG CANDIDATES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 146 PHILIPPINES ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 147 PHILIPPINES IMMUNO-ONCOLOGY IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 148 PHILIPPINES ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY END USE, 2020-2029 (USD MILLION)
TABLE 149 REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY OFFERING, 2020-2029 (USD MILLION)
List of Figure
FIGURE 1 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: SEGMENTATION
FIGURE 2 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: DATA TRIANGULATION
FIGURE 3 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: DROC ANALYSIS
FIGURE 4 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: ASIA PACIFIC VS REGIONAL MARKET ANALYSIS
FIGURE 5 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: COMPANY RESEARCH ANALYSIS
FIGURE 6 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: INTERVIEW DEMOGRAPHICS
FIGURE 7 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: MARKET APPLICATION COVERAGE GRID
FIGURE 8 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: DBMR MARKET POSITION GRID
FIGURE 9 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: VENDOR SHARE ANALYSIS
FIGURE 10 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: SEGMENTATION
FIGURE 11 THE GROWING NEED TO CURB DRUG DISCOVERY COSTS AND REDUCE TIME INVOLVED IN THE DRUG DEVELOPMENT PROCESS, THE RISING ADOPTION OF CLOUD-BASED APPLICATIONS AND SERVICES, AND THE IMPENDING PATENT EXPIRY OF BLOCKBUSTER DRUGS ARE EXPECTED TO DRIVE THE GROWTH OF THE ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET IN THE FORECAST PERIOD OF 2022 TO 2029
FIGURE 12 SOFTWARE IS EXPECTED TO ACCOUNT FOR THE LARGEST SHARE OF THE ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET IN 2022 AND 2029
FIGURE 13 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES OF THE ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET
FIGURE 14 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY OFFERING, 2021
FIGURE 15 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY OFFERING, 2022-2029 (USD MILLION)
FIGURE 16 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY OFFERING, CAGR (2022-2029)
FIGURE 17 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY OFFERING, LIFELINE CURVE
FIGURE 18 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY TECHNOLOGY, 2021
FIGURE 19 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY TECHNOLOGY, 2022-2029 (USD MILLION)
FIGURE 20 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY TECHNOLOGY, CAGR (2022-2029)
FIGURE 21 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY TECHNOLOGY, LIFELINE CURVE
FIGURE 22 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET : BY DRUG TYPE, 2021
FIGURE 23 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET : BY DRUG TYPE, 2022-2029 (USD MILLION)
FIGURE 24 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET : BY DRUG TYPE, CAGR (2022-2029)
FIGURE 25 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET : BY DRUG TYPE, LIFELINE CURVE
FIGURE 26 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY APPLICATION, 2021
FIGURE 27 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY APPLICATION, 2020-2029 (USD MILLION)
FIGURE 28 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY APPLICATION, CAGR (2022-2029)
FIGURE 29 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY APPLICATION, LIFELINE CURVE
FIGURE 30 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY INDICATION, 2021
FIGURE 31 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY INDICATION, 2020-2029 (USD MILLION)
FIGURE 32 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY INDICATION, CAGR (2022-2029)
FIGURE 33 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY INDICATION, LIFELINE CURVE
FIGURE 34 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY END USE, 2021
FIGURE 35 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY END USE, 2022-2029 (USD MILLION)
FIGURE 36 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET : BY END USE, CAGR (2022-2029)
FIGURE 37 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET : BY END USE, LIFELINE CURVE
FIGURE 38 ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: SNAPSHOT (2021)
FIGURE 39 ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY COUNTRY (2021)
FIGURE 40 ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY COUNTRY (2022 & 2029)
FIGURE 41 ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY COUNTRY (2021 & 2029)
FIGURE 42 ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY OFFERING (2022-2029)
FIGURE 43 ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: COMPANY SHARE 2021 (%)
Research Methodology
Data collection and base year analysis are done using data collection modules with large sample sizes. The stage includes obtaining market information or related data through various sources and strategies. It includes examining and planning all the data acquired from the past in advance. It likewise envelops the examination of information inconsistencies seen across different information sources. The market data is analysed and estimated using market statistical and coherent models. Also, market share analysis and key trend analysis are the major success factors in the market report. To know more, please request an analyst call or drop down your inquiry.
The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market and primary (industry expert) validation. Data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Patent Analysis, Pricing Analysis, Company Market Share Analysis, Standards of Measurement, Global versus Regional and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.
Customization Available
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