>유럽 약물 발견 시장에서의 인공지능(AI)을 응용 분야별로(신약 후보, 약물 최적화 및 재활용, 임상 전 시험 및 승인, 약물 모니터링, 새로운 질병 관련 표적 및 경로 찾기, 질병 메커니즘 이해, 정보 수집 및 종합, 가설 형성 및 검증, 신규 약물 설계, 기존 약물의 약물 표적 찾기 등), 기술(머신 러닝, 딥 러닝, 자연어 처리 등), 약물 유형(소분자 및 대분자), 제공(소프트웨어 및 서비스), 적응증(면역 종양학, 신경 퇴행성 질환, 심혈관 질환, 대사 질환 등), 최종 사용(계약 연구 기관(CRO), 제약 및 생명 공학 회사, 연구 센터 및 학술 기관 등) 산업 동향 및 2029년까지의 예측.
유럽 약물 발견 시장 분석 및 통찰력에서의 인공지능(AI)
인공 지능(AI)은 의료 산업에서 수익성 있는 기술이 될 것으로 기대됩니다. AI를 구현하면 약물 제조 공정의 R&D 격차가 줄어들고 약물의 표적 제조에 도움이 됩니다. 따라서 바이오제약 회사는 시장 점유율을 높이기 위해 AI로 전환하고 있습니다. 약물 발견을 위한 AI는 기계를 사용하여 인간의 지능을 시뮬레이션하여 약물 개발 절차에서 복잡한 과제를 해결하는 기술입니다.
임상 시험 프로세스 에서 AI 솔루션을 도입하면 가능한 장애물을 제거하고 임상 시험 주기를 단축하며 임상 시험 프로세스의 생산성과 정확성을 높일 수 있습니다. 약물 발견을 위한 AI의 기술적 발전과 약물 발견 프로세스에 관련된 총 시간 단축은 예측 기간 동안 시장 성장을 견인하는 다른 요인입니다. 그러나 낮은 품질과 일관되지 않은 사용 가능한 데이터는 시장 성장을 방해할 것입니다. 또한 기술과 관련된 높은 비용과 기술적 한계는 시장 성장을 제한할 것입니다.
Data Bridge Market Research는 유럽의 약물 발견 인공지능(AI) 시장이 2029년까지 4,891.95백만 달러에 도달할 것으로 예상되며, 예측 기간 동안 CAGR은 52.0%라고 분석했습니다. 소프트웨어는 약물 발견 시장에서 AI 사용을 상용화하기 위한 기술 발전의 빠른 발전으로 인해 시장에서 가장 큰 기술 부문을 차지합니다. 이 시장 보고서는 또한 가격 분석, 특허 분석 및 기술 발전에 대한 심층적인 내용을 다룹니다.
|
보고서 메트릭 |
세부 |
|
예측 기간 |
2022년부터 2029년까지 |
|
기준 연도 |
2021 |
|
역사적 연도 |
2020 (2019-2014로 사용자 정의 가능) |
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양적 단위 |
수익은 백만 달러, 가격은 미화로 표시됨 |
|
다루는 세그먼트 |
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) |
|
Countries Covered |
Germany, France, U.K., Italy, Spain, Russia, Turkey, Belgium, Netherlands, Switzerland, rest of Europe |
|
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 |
Europe 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.
Europe 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 Europe 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.
Europe Artificial Intelligence (AI) in Drug Discovery Market Scope
Europe 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.
Europe Artificial Intelligence (AI) in Drug Discovery Market Regional Analysis/Insights
The Europe 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 Germany, France, U.K., Italy, Spain, Russia, Turkey, Belgium, Netherlands, Switzerland, rest of Europe.
In 2022, Europe is dominating due to the increase in government funding and rising healthcare costs. U.K. is expected to grow due to increase in R&D activities and 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 Europe 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 Europe Artificial Intelligence (AI) in Drug Discovery Market Share Analysis
Europe 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 research and development, 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 Europe Artificial Intelligence (AI) in drug discovery market.
이 시장에서 활동하는 주요 기업으로는 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., BIOAGE Inc. 등이 있습니다.
SKU-
세계 최초의 시장 정보 클라우드 보고서에 온라인으로 접속하세요
- 대화형 데이터 분석 대시보드
- 높은 성장 잠재력 기회를 위한 회사 분석 대시보드
- 사용자 정의 및 질의를 위한 리서치 분석가 액세스
- 대화형 대시보드를 통한 경쟁자 분석
- 최신 뉴스, 업데이트 및 추세 분석
- 포괄적인 경쟁자 추적을 위한 벤치마크 분석의 힘 활용
목차
1 INTRODUCTION
1.1 OBJECTIVES OF THE STUDY
1.2 MARKET DEFINITION
1.3 OVERVIEW OF EUROPE 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 EUROPE SHORTAGE OF AI TALENT
5.4.2 ETHICAL, LEGAL, AND REGULATORY ISSUES FOR AI ADOPTION IN THE PHARMACEUTICAL SCIENCES
6 EUROPE 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 EUROPE 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 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET , BY DRUG TYPE
8.1 OVERVIEW
8.2 SMALL MOLECULE
8.3 LARGE MOLECULE
9 EUROPE 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 EUROPE 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 EUROPE 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 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION
12.1 EUROPE
12.1.1 U.K.
12.1.2 FRANCE
12.1.3 GERMANY
12.1.4 SPAIN
12.1.5 ITALY
12.1.6 RUSSIA
12.1.7 NETHERLANDS
12.1.8 SWITZERLAND
12.1.9 TURKEY
12.1.10 BELGIUM
12.1.11 REST OF EUROPE
13 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: COMPANY LANDSCAPE
13.1 COMPANY SHARE ANALYSIS: EUROPE
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
표 목록
TABLE 1 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 2 EUROPE SOFTWARE IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 3 EUROPE SOFTWARE IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 4 EUROPE SERVICES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 5 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 6 EUROPE MACHINE LEARNING (ML) IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 7 EUROPE MACHINE LEARNING (ML) IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 8 EUROPE DEEP LEARNING IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 9 EUROPE NATURAL LANGUAGE PROCESSING (NLP) IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 10 EUROPE OTHERS IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 11 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY DRUG TYPE, 2020-2029 (USD MILLION)
TABLE 12 EUROPE SMALL MOLECULE IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 13 EUROPE LARGE MOLECULE IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 14 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 15 EUROPE NOVEL DRUG CANDIDATES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 16 EUROPE NOVEL DRUG CANDIDATES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 17 EUROPE 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 EUROPE DRUG MONITORING IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 19 EUROPE AGGREGATING AND SYNTHESIZING INFORMATION IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 20 EUROPE DE NOVO DRUG DESIGN IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 21 EUROPE FINDING DRUG TARGETS OF AN OLD DRUG IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 22 EUROPE FORMATION & QUALIFICATION OF HYPOTHESES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 23 EUROPE UNDERSTANDING DISEASE MECHANISMS IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 24 EUROPE FINDING NEW DISEASE-ASSOCIATED TARGETS AND PATHWAYS IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 25 EUROPE OTHERS IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 26 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 27 EUROPE IMMUNO-ONCOLOGY IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 28 EUROPE IMMUNO-ONCOLOGY IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 29 EUROPE NEURODEGENERATIVE DISEASES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 30 EUROPE CARDIOVASCULAR DISEASES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 31 EUROPE METABOLIC DISEASES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 32 EUROPE OTHERS IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 33 GLOB EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY END USE, 2020-2029 (USD MILLION)
TABLE 34 EUROPE CONTRACT RESEARCH ORGANIZATIONS IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 35 EUROPE PHARMACEUTICAL & BIOTECHNOLOGY COMPANIES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 36 EUROPE RESEARCH CENTRES AND ACADEMIC INSTITUTES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 37 EUROPE OTHERS IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 38 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY COUNTRY, 2020-2029 (USD MILLION)
TABLE 39 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 40 EUROPE SOFTWARE IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 41 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 42 EUROPE MACHINE LEARNING (ML) IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 43 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY DRUG TYPE, 2020-2029 (USD MILLION)
TABLE 44 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 45 EUROPE NOVEL DRUG CANDIDATES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 46 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 47 EUROPE IMMUNO-ONCOLOGY IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 48 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY END USE, 2020-2029 (USD MILLION)
TABLE 49 U.K. ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 50 U.K. SOFTWARE IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 51 U.K. ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 52 U.K. MACHINE LEARNING (ML) IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 53 U.K. ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY DRUG TYPE, 2020-2029 (USD MILLION)
TABLE 54 U.K. ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 55 U.K. NOVEL DRUG CANDIDATES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 56 U.K. ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 57 U.K. IMMUNO-ONCOLOGY IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 58 U.K. ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY END USE, 2020-2029 (USD MILLION)
TABLE 59 FRANCE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 60 FRANCE SOFTWARE IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 61 FRANCE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 62 FRANCE MACHINE LEARNING (ML) IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 63 FRANCE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY DRUG TYPE, 2020-2029 (USD MILLION)
TABLE 64 FRANCE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 65 FRANCE NOVEL DRUG CANDIDATES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 66 FRANCE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 67 FRANCE IMMUNO-ONCOLOGY IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 68 FRANCE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY END USE, 2020-2029 (USD MILLION)
TABLE 69 GERMANY ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 70 GERMANY SOFTWARE IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 71 GERMANY ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 72 GERMANY MACHINE LEARNING (ML) IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 73 GERMANY ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY DRUG TYPE, 2020-2029 (USD MILLION)
TABLE 74 GERMANY ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 75 GERMANY NOVEL DRUG CANDIDATES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 76 GERMANY ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 77 GERMANY IMMUNO-ONCOLOGY IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 78 GERMANY ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY END USE, 2020-2029 (USD MILLION)
TABLE 79 SPAIN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 80 SPAIN SOFTWARE IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 81 SPAIN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 82 SPAIN MACHINE LEARNING (ML) IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 83 SPAIN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY DRUG TYPE, 2020-2029 (USD MILLION)
TABLE 84 SPAIN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 85 SPAIN NOVEL DRUG CANDIDATES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 86 SPAIN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 87 SPAIN IMMUNO-ONCOLOGY IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 88 SPAIN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY END USE, 2020-2029 (USD MILLION)
TABLE 89 ITALY ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 90 ITALY SOFTWARE IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 91 ITALY ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 92 ITALY MACHINE LEARNING (ML) IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 93 ITALY ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY DRUG TYPE, 2020-2029 (USD MILLION)
TABLE 94 ITALY ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 95 ITALY NOVEL DRUG CANDIDATES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 96 ITALY ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 97 ITALY IMMUNO-ONCOLOGY IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 98 ITALY ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY END USE, 2020-2029 (USD MILLION)
TABLE 99 RUSSIA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 100 RUSSIA SOFTWARE IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 101 RUSSIA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 102 RUSSIA MACHINE LEARNING (ML) IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 103 RUSSIA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY DRUG TYPE, 2020-2029 (USD MILLION)
TABLE 104 RUSSIA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 105 RUSSIA NOVEL DRUG CANDIDATES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 106 RUSSIA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 107 RUSSIA IMMUNO-ONCOLOGY IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 108 RUSSIA ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY END USE, 2020-2029 (USD MILLION)
TABLE 109 NETHERLANDS ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 110 NETHERLANDS SOFTWARE IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 111 NETHERLANDS ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 112 NETHERLANDS MACHINE LEARNING (ML) IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 113 NETHERLANDS ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY DRUG TYPE, 2020-2029 (USD MILLION)
TABLE 114 NETHERLANDS ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 115 NETHERLANDS NOVEL DRUG CANDIDATES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 116 NETHERLANDS ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 117 NETHERLANDS IMMUNO-ONCOLOGY IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 118 NETHERLANDS ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY END USE, 2020-2029 (USD MILLION)
TABLE 119 SWITZERLAND ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 120 SWITZERLAND SOFTWARE IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 121 SWITZERLAND ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 122 SWITZERLAND MACHINE LEARNING (ML) IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 123 SWITZERLAND ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY DRUG TYPE, 2020-2029 (USD MILLION)
TABLE 124 SWITZERLAND ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 125 SWITZERLAND NOVEL DRUG CANDIDATES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 126 SWITZERLAND ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 127 SWITZERLAND IMMUNO-ONCOLOGY IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 128 SWITZERLAND ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY END USE, 2020-2029 (USD MILLION)
TABLE 129 TURKEY ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 130 TURKEY SOFTWARE IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 131 TURKEY ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 132 TURKEY MACHINE LEARNING (ML) IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 133 TURKEY ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY DRUG TYPE, 2020-2029 (USD MILLION)
TABLE 134 TURKEY ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 135 TURKEY NOVEL DRUG CANDIDATES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 136 TURKEY ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 137 TURKEY IMMUNO-ONCOLOGY IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 138 TURKEY ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY END USE, 2020-2029 (USD MILLION)
TABLE 139 BELGIUM ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 140 BELGIUM SOFTWARE IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 141 BELGIUM ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 142 BELGIUM MACHINE LEARNING (ML) IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 143 BELGIUM ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY DRUG TYPE, 2020-2029 (USD MILLION)
TABLE 144 BELGIUM ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 145 BELGIUM NOVEL DRUG CANDIDATES IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 146 BELGIUM ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 147 BELGIUM IMMUNO-ONCOLOGY IN ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY INDICATION, 2020-2029 (USD MILLION)
TABLE 148 BELGIUM ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY END USE, 2020-2029 (USD MILLION)
TABLE 149 REST OF EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY OFFERING, 2020-2029 (USD MILLION)
그림 목록
FIGURE 1 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: SEGMENTATION
FIGURE 2 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: DATA TRIANGULATION
FIGURE 3 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: DROC ANALYSIS
FIGURE 4 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: EUROPE VS REGIONAL MARKET ANALYSIS
FIGURE 5 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: COMPANY RESEARCH ANALYSIS
FIGURE 6 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: INTERVIEW DEMOGRAPHICS
FIGURE 7 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: MARKET APPLICATION COVERAGE GRID
FIGURE 8 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: DBMR MARKET POSITION GRID
FIGURE 9 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: VENDOR SHARE ANALYSIS
FIGURE 10 EUROPE 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 EUROPE 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 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET IN 2022 AND 2029
FIGURE 13 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES OF THE EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET
FIGURE 14 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY OFFERING, 2021
FIGURE 15 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY OFFERING, 2022-2029 (USD MILLION)
FIGURE 16 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY OFFERING, CAGR (2022-2029)
FIGURE 17 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY OFFERING, LIFELINE CURVE
FIGURE 18 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY TECHNOLOGY, 2021
FIGURE 19 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY TECHNOLOGY, 2022-2029 (USD MILLION)
FIGURE 20 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY TECHNOLOGY, CAGR (2022-2029)
FIGURE 21 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY TECHNOLOGY, LIFELINE CURVE
FIGURE 22 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET : BY DRUG TYPE, 2021
FIGURE 23 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET : BY DRUG TYPE, 2022-2029 (USD MILLION)
FIGURE 24 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET : BY DRUG TYPE, CAGR (2022-2029)
FIGURE 25 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET : BY DRUG TYPE, LIFELINE CURVE
FIGURE 26 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY APPLICATION, 2021
FIGURE 27 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY APPLICATION, 2020-2029 (USD MILLION)
FIGURE 28 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY APPLICATION, CAGR (2022-2029)
FIGURE 29 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY APPLICATION, LIFELINE CURVE
FIGURE 30 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY INDICATION, 2021
FIGURE 31 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY INDICATION, 2020-2029 (USD MILLION)
FIGURE 32 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY INDICATION, CAGR (2022-2029)
FIGURE 33 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY INDICATION, LIFELINE CURVE
FIGURE 34 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY END USE, 2021
FIGURE 35 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY END USE, 2022-2029 (USD MILLION)
FIGURE 36 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET : BY END USE, CAGR (2022-2029)
FIGURE 37 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET : BY END USE, LIFELINE CURVE
FIGURE 38 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: SNAPSHOT (2021)
FIGURE 39 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY COUNTRY (2021)
FIGURE 40 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY COUNTRY (2022 & 2029)
FIGURE 41 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY COUNTRY (2021 & 2029)
FIGURE 42 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY OFFERING (2022-2029)
FIGURE 43 EUROPE ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: COMPANY SHARE 2021 (%)
연구 방법론
데이터 수집 및 기준 연도 분석은 대규모 샘플 크기의 데이터 수집 모듈을 사용하여 수행됩니다. 이 단계에는 다양한 소스와 전략을 통해 시장 정보 또는 관련 데이터를 얻는 것이 포함됩니다. 여기에는 과거에 수집한 모든 데이터를 미리 검토하고 계획하는 것이 포함됩니다. 또한 다양한 정보 소스에서 발견되는 정보 불일치를 검토하는 것도 포함됩니다. 시장 데이터는 시장 통계 및 일관된 모델을 사용하여 분석하고 추정합니다. 또한 시장 점유율 분석 및 주요 추세 분석은 시장 보고서의 주요 성공 요인입니다. 자세한 내용은 분석가에게 전화를 요청하거나 문의 사항을 드롭하세요.
DBMR 연구팀에서 사용하는 주요 연구 방법론은 데이터 마이닝, 시장에 대한 데이터 변수의 영향 분석 및 주요(산업 전문가) 검증을 포함하는 데이터 삼각 측량입니다. 데이터 모델에는 공급업체 포지셔닝 그리드, 시장 타임라인 분석, 시장 개요 및 가이드, 회사 포지셔닝 그리드, 특허 분석, 가격 분석, 회사 시장 점유율 분석, 측정 기준, 글로벌 대 지역 및 공급업체 점유율 분석이 포함됩니다. 연구 방법론에 대해 자세히 알아보려면 문의를 통해 업계 전문가에게 문의하세요.
사용자 정의 가능
Data Bridge Market Research는 고급 형성 연구 분야의 선두 주자입니다. 저희는 기존 및 신규 고객에게 목표에 맞는 데이터와 분석을 제공하는 데 자부심을 느낍니다. 보고서는 추가 국가에 대한 시장 이해(국가 목록 요청), 임상 시험 결과 데이터, 문헌 검토, 재생 시장 및 제품 기반 분석을 포함하도록 사용자 정의할 수 있습니다. 기술 기반 분석에서 시장 포트폴리오 전략에 이르기까지 타겟 경쟁업체의 시장 분석을 분석할 수 있습니다. 귀하가 원하는 형식과 데이터 스타일로 필요한 만큼 많은 경쟁자를 추가할 수 있습니다. 저희 분석가 팀은 또한 원시 엑셀 파일 피벗 테이블(팩트북)로 데이터를 제공하거나 보고서에서 사용 가능한 데이터 세트에서 프레젠테이션을 만드는 데 도움을 줄 수 있습니다.
