AI-based Clinical Trial Solution Market, Global Outlook and Forecast 2023-2030
Data integration, evolutionary modelling and pattern recognition using predictive AI models, can enable trial sponsors to aggregate, curate, and analyze large volumes of data, thereby, harnessing information captured during past trials to drive future therapy development initiatives,such as concerns related to clinical trial design, patient recruitment and retention, site selection, medical data interpretation and evaluation of treatment efficacy, which are encountered during trial conduct.
This report aims to provide a comprehensive presentation of the global market for AI-based Clinical Trial Solution, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding AI-based Clinical Trial Solution. This report contains market size and forecasts of AI-based Clinical Trial Solution in global, including the following market information:
Global AI-based Clinical Trial Solution Market Revenue, 2018-2023, 2024-2030, ($ millions)
Global top five companies in 2022 (%)
The global AI-based Clinical Trial Solution market was valued at US$ million in 2022 and is projected to reach US$ million by 2030, at a CAGR of % during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
The U.S. Market is Estimated at $ Million in 2022, While China is to reach $ Million.
Artificial Narrow Intelligence Segment to Reach $ Million by 2030, with a % CAGR in next six years.
The global key manufacturers of AI-based Clinical Trial Solution include AiCure, Antidote, Deep Lens, Saama Technologies, Trials.ai, Deep 6 AI, Innoplexus, Median Technologies and Mendel.ai, etc. in 2022, the global top five players have a share approximately % in terms of revenue.
We surveyed the AI-based Clinical Trial Solution companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global AI-based Clinical Trial Solution Market, by Type, 2018-2023, 2024-2030 ($ millions)
Global AI-based Clinical Trial Solution Market Segment Percentages, by Type, 2022 (%)
Artificial Narrow Intelligence
Artificial General Intelligence
Artificial Super Intelligence
Global AI-based Clinical Trial Solution Market, by Application, 2018-2023, 2024-2030 ($ millions)
Global AI-based Clinical Trial Solution Market Segment Percentages, by Application, 2022 (%)
Drug Discovery
Drug Manufacturing
Drug Marketing
Diagnosis and Treatment
Clinical Trials
Global AI-based Clinical Trial Solution Market, By Region and Country, 2018-2023, 2024-2030 ($ Millions)
Global AI-based Clinical Trial Solution Market Segment Percentages, By Region and Country, 2022 (%)
North America
US
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Benelux
Rest of Europe
Asia
China
Japan
South Korea
Southeast Asia
India
Rest of Asia
South America
Brazil
Argentina
Rest of South America
Middle East & Africa
Turkey
Israel
Saudi Arabia
UAE
Rest of Middle East & Africa
Competitor Analysis
The report also provides analysis of leading market participants including:
Key companies AI-based Clinical Trial Solution revenues in global market, 2018-2023 (estimated), ($ millions)
Key companies AI-based Clinical Trial Solution revenues share in global market, 2022 (%)
Further, the report presents profiles of competitors in the market, key players include:
AiCure
Antidote
Deep Lens
Saama Technologies
Trials.ai
Deep 6 AI
Innoplexus
Median Technologies
Mendel.ai
Phesi
Deloitte
Innoplexus
IBM
Outline of Major Chapters:
Chapter 1: Introduces the definition of AI-based Clinical Trial Solution, market overview.
Chapter 2: Global AI-based Clinical Trial Solution market size in revenue.
Chapter 3: Detailed analysis of AI-based Clinical Trial Solution company competitive landscape, revenue and market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: Sales of AI-based Clinical Trial Solution in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space of each country in the world.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 8: The main points and conclusions of the report.
