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レポート概要
| 360iResearch社の本調査資料によると、2021年に4,938.35百万ドルであった世界のAIベース臨床試験市場規模が、2022年に5,432.18百万ドルになり、予測期間中（〜2027年）にCAGR10.17%で成長し8,833.41百万ドルまで達すると展望されています。本書は、AIベース臨床試験の世界市場について総合的に分析し、市場規模・動向・予測などを整理しています。序論、調査方法、エグゼクティブサマリー、市場概要、市場インサイト、フェーズ別（フェーズI、フェーズⅡ、フェーズⅢ）分析、用途別（心血管系疾患、感染症、代謝性疾患、神経系疾患、腫瘍）分析、エンドユーザー別（学術、製薬会社、その他）分析、地域別（南北アメリカ、アメリカ、カナダ、ブラジル、アジア太平洋、日本、中国、インド、韓国、台湾、ヨーロッパ/中東/アフリカ、イギリス、ドイツ、フランス、ロシア、その他）分析、競争状況、企業情報など、以下の構成で掲載しています。また、主要企業として、AiCure, LLC、Aiforia、Antidote Technologies, Inc.、Avantor, Inc.、Deep 6 AI、Deep Lens Inc.、Innoplexus Consulting Services Pvt Ltd、Intelligencia.ai、MEDIAN Technologies、Mendel.ai、Pharmaceutical Pipeline Enhancement Strategies, LLC、Saama Technologies Pvt Ltd、Simplifai AS、Trials.ai、Unlearn.AI, Inc.などの情報が含まれています。 ・序論 ・調査方法 ・エグゼクティブサマリー ・市場概要 ・市場インサイト ・世界のAIベース臨床試験市場規模：フェーズ別 - フェーズIにおける市場規模 - フェーズⅡにおける市場規模 - フェーズⅢにおける市場規模 ・世界のAIベース臨床試験市場規模：用途別 - 心血管系疾患における市場規模 - 感染症における市場規模 - 代謝性疾患における市場規模 - 神経系疾患における市場規模 - 腫瘍における市場規模 ・世界のAIベース臨床試験市場規模：エンドユーザー別 - 学術における市場規模 - 製薬会社における市場規模 - その他における市場規模 ・世界のAIベース臨床試験市場規模：地域別 - 南北アメリカのAIベース臨床試験市場規模 アメリカのAIベース臨床試験市場規模 カナダのAIベース臨床試験市場規模 ブラジルのAIベース臨床試験市場規模 … - アジア太平洋のAIベース臨床試験市場規模 日本のAIベース臨床試験市場規模 中国のAIベース臨床試験市場規模 インドのAIベース臨床試験市場規模 韓国のAIベース臨床試験市場規模 台湾のAIベース臨床試験市場規模 … - ヨーロッパ/中東/アフリカのAIベース臨床試験市場規模 イギリスのAIベース臨床試験市場規模 ドイツのAIベース臨床試験市場規模 フランスのAIベース臨床試験市場規模 ロシアのAIベース臨床試験市場規模 … - その他地域のAIベース臨床試験市場規模 ・競争状況 ・企業情報 |
The Global AI-based Clinical Trials Market size was estimated at USD 4,938.35 million in 2021 and expected to reach USD 5,432.18 million in 2022, and is projected to grow at a CAGR 10.17% to reach USD 8,833.41 million by 2027.
Market Statistics:
The report provides market sizing and forecast across 7 major currencies – USD, EUR, JPY, GBP, AUD, CAD, and CHF. It helps organization leaders make better decisions when currency exchange data is readily available. In this report, the years 2018 and 2020 are considered as historical years, 2021 as the base year, 2022 as the estimated year, and years from 2023 to 2027 are considered as the forecast period.
Market Segmentation & Coverage:
This research report categorizes the AI-based Clinical Trials to forecast the revenues and analyze the trends in each of the following sub-markets:
Based on Phase, the market was studied across Phase-I, Phase-II, and Phase-III.
Based on Application, the market was studied across Cardiovascular Diseases, Infectious Diseases, Metabolic Diseases, Neurological Diseases or Conditions, and Oncology.
Based on End User, the market was studied across Academia, Others, and Pharmaceutical Companies.
Based on Region, the market was studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.
Cumulative Impact of COVID-19:
COVID-19 is an incomparable global public health emergency that has affected almost every industry, and the long-term effects are projected to impact the industry growth during the forecast period. Our ongoing research amplifies our research framework to ensure the inclusion of underlying COVID-19 issues and potential paths forward. The report delivers insights on COVID-19 considering the changes in consumer behavior and demand, purchasing patterns, re-routing of the supply chain, dynamics of current market forces, and the significant interventions of governments. The updated study provides insights, analysis, estimations, and forecasts, considering the COVID-19 impact on the market.
Cumulative Impact of 2022 Russia Ukraine Conflict:
We continuously monitor and update reports on political and economic uncertainty due to the Russian invasion of Ukraine. Negative impacts are significantly foreseen globally, especially across Eastern Europe, European Union, Eastern & Central Asia, and the United States. This contention has severely affected lives and livelihoods and represents far-reaching disruptions in trade dynamics. The potential effects of ongoing war and uncertainty in Eastern Europe are expected to have an adverse impact on the world economy, with especially long-term harsh effects on Russia.This report uncovers the impact of demand & supply, pricing variants, strategic uptake of vendors, and recommendations for AI-based Clinical Trials market considering the current update on the conflict and its global response.
Competitive Strategic Window:
The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies to help the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. It describes the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth during a forecast period.
FPNV Positioning Matrix:
The FPNV Positioning Matrix evaluates and categorizes the vendors in the AI-based Clinical Trials Market based on Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.
Market Share Analysis:
The Market Share Analysis offers the analysis of vendors considering their contribution to the overall market. It provides the idea of its revenue generation into the overall market compared to other vendors in the space. It provides insights into how vendors are performing in terms of revenue generation and customer base compared to others. Knowing market share offers an idea of the size and competitiveness of the vendors for the base year. It reveals the market characteristics in terms of accumulation, fragmentation, dominance, and amalgamation traits.
Competitive Scenario:
The Competitive Scenario provides an outlook analysis of the various business growth strategies adopted by the vendors. The news covered in this section deliver valuable thoughts at the different stage while keeping up-to-date with the business and engage stakeholders in the economic debate. The competitive scenario represents press releases or news of the companies categorized into Merger & Acquisition, Agreement, Collaboration, & Partnership, New Product Launch & Enhancement, Investment & Funding, and Award, Recognition, & Expansion. All the news collected help vendor to understand the gaps in the marketplace and competitor’s strength and weakness thereby, providing insights to enhance product and service.
Company Usability Profiles:
The report profoundly explores the recent significant developments by the leading vendors and innovation profiles in the Global AI-based Clinical Trials Market, including AiCure, LLC, Aiforia, Antidote Technologies, Inc., Avantor, Inc., Deep 6 AI, Deep Lens Inc., Innoplexus Consulting Services Pvt Ltd, Intelligencia.ai, MEDIAN Technologies, Mendel.ai, Pharmaceutical Pipeline Enhancement Strategies, LLC, Saama Technologies Pvt Ltd, Simplifai AS, Trials.ai, and Unlearn.AI, Inc..
The report provides insights on the following pointers:
1. Market Penetration: Provides comprehensive information on the market offered by the key players
2. Market Development: Provides in-depth information about lucrative emerging markets and analyze penetration across mature segments of the markets
3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments
4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, certification, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players
5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and breakthrough product developments
The report answers questions such as:
1. What is the market size and forecast of the Global AI-based Clinical Trials Market?
2. What are the inhibiting factors and impact of COVID-19 shaping the Global AI-based Clinical Trials Market during the forecast period?
3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global AI-based Clinical Trials Market?
4. What is the competitive strategic window for opportunities in the Global AI-based Clinical Trials Market?
5. What are the technology trends and regulatory frameworks in the Global AI-based Clinical Trials Market?
6. What is the market share of the leading vendors in the Global AI-based Clinical Trials Market?
7. What modes and strategic moves are considered suitable for entering the Global AI-based Clinical Trials Market?
1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Limitations
1.7. Assumptions
1.8. Stakeholders
2. Research Methodology
2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update
3. Executive Summary
4. Market Overview
5. Market Insights
5.1. Market Dynamics
5.1.1. Drivers
5.1.1.1. Need for artificial Intelligence which helps in boosting and improving clinical trials
5.1.1.2. Rising needs to reduce healthcare costs and declining hardware costs
5.1.1.3. Increased adoption of AI-based drug development technology by most of the pharmaceutical companies
5.1.2. Restraints
5.1.2.1. Lack of personal involvement leading to a rise in unemployment rates
5.1.2.2. Possibility of a defective diagnosis
5.1.3. Opportunities
5.1.3.1. Technological advancements and innovations in AI-based clinical trials
5.1.3.2. Major pharmaceutical companies are ensuring more joint ventures and partnerships with AI vendors
5.1.4. Challenges
5.1.4.1. Concerns associated with the adoption of EHR interoperability
5.2. Cumulative Impact of COVID-19
6. AI-based Clinical Trials Market, by Phase
6.1. Introduction
6.2. Phase-I
6.3. Phase-II
6.4. Phase-III
7. AI-based Clinical Trials Market, by Application
7.1. Introduction
7.2. Cardiovascular Diseases
7.3. Infectious Diseases
7.4. Metabolic Diseases
7.5. Neurological Diseases or Conditions
7.6. Oncology
8. AI-based Clinical Trials Market, by End User
8.1. Introduction
8.2. Academia
8.3. Others
8.4. Pharmaceutical Companies
9. Americas AI-based Clinical Trials Market
9.1. Introduction
9.2. Argentina
9.3. Brazil
9.4. Canada
9.5. Mexico
9.6. United States
10. Asia-Pacific AI-based Clinical Trials Market
10.1. Introduction
10.2. Australia
10.3. China
10.4. India
10.5. Indonesia
10.6. Japan
10.7. Malaysia
10.8. Philippines
10.9. Singapore
10.10. South Korea
10.11. Taiwan
10.12. Thailand
10.13. Vietnam
11. Europe, Middle East & Africa AI-based Clinical Trials Market
11.1. Introduction
11.2. Denmark
11.3. Egypt
11.4. Finland
11.5. France
11.6. Germany
11.7. Israel
11.8. Italy
11.9. Netherlands
11.10. Nigeria
11.11. Norway
11.12. Poland
11.13. Qatar
11.14. Russia
11.15. Saudi Arabia
11.16. South Africa
11.17. Spain
11.18. Sweden
11.19. Switzerland
11.20. Turkey
11.21. United Arab Emirates
11.22. United Kingdom
12. Competitive Landscape
12.1. FPNV Positioning Matrix
12.1.1. Quadrants
12.1.2. Business Strategy
12.1.3. Product Satisfaction
12.2. Market Ranking Analysis, By Key Player
12.3. Market Share Analysis, By Key Player
12.4. Competitive Scenario
12.4.1. Merger & Acquisition
12.4.2. Agreement, Collaboration, & Partnership
12.4.3. New Product Launch & Enhancement
12.4.4. Investment & Funding
12.4.5. Award, Recognition, & Expansion
13. Company Usability Profiles
13.1. AiCure, LLC
13.1.1. Business Overview
13.1.2. Key Executives
13.1.3. Product & Services
13.2. Aiforia
13.2.1. Business Overview
13.2.2. Key Executives
13.2.3. Product & Services
13.3. Antidote Technologies, Inc.
13.3.1. Business Overview
13.3.2. Key Executives
13.3.3. Product & Services
13.4. Avantor, Inc.
13.4.1. Business Overview
13.4.2. Key Executives
13.4.3. Product & Services
13.5. Deep 6 AI
13.5.1. Business Overview
13.5.2. Key Executives
13.5.3. Product & Services
13.6. Deep Lens Inc.
13.6.1. Business Overview
13.6.2. Key Executives
13.6.3. Product & Services
13.7. Innoplexus Consulting Services Pvt Ltd
13.7.1. Business Overview
13.7.2. Key Executives
13.7.3. Product & Services
13.8. Intelligencia.ai
13.8.1. Business Overview
13.8.2. Key Executives
13.8.3. Product & Services
13.9. MEDIAN Technologies
13.9.1. Business Overview
13.9.2. Key Executives
13.9.3. Product & Services
13.10. Mendel.ai
13.10.1. Business Overview
13.10.2. Key Executives
13.10.3. Product & Services
13.11. Pharmaceutical Pipeline Enhancement Strategies, LLC
13.11.1. Business Overview
13.11.2. Key Executives
13.11.3. Product & Services
13.12. Saama Technologies Pvt Ltd
13.12.1. Business Overview
13.12.2. Key Executives
13.12.3. Product & Services
13.13. Simplifai AS
13.13.1. Business Overview
13.13.2. Key Executives
13.13.3. Product & Services
13.14. Trials.ai
13.14.1. Business Overview
13.14.2. Key Executives
13.14.3. Product & Services
13.15. Unlearn.AI, Inc.
13.15.1. Business Overview
13.15.2. Key Executives
13.15.3. Product & Services
14. Appendix
14.1. Discussion Guide
14.2. License & Pricing