AI-based Clinical Trial Solutions For Patient Matching Market

AI-based Clinical Trial Solutions For Patient Matching Market Size, Share, Growth Analysis, By Therapeutic Application(Oncology, Cardiovascular Diseases, Neurological Diseases or Conditions, Metabolic Diseases), By End-use(Pharmaceutical Companies, Academia, Others), By Region(North America, Europe, Asia Pacific, Latin America) - Industry Forecast 2025-2032


Report ID: UCMIG35G2118 | Region: Global | Published Date: Upcoming |
Pages: 165 | Tables: 55 | Figures: 60

AI-based Clinical Trial Solutions For Patient Matching Market Insights

Market Overview:

In 2021, the global market for AI-based clinical trial solutions for patient matching demonstrated notable growth, reaching a valuation of USD 230.6 million. This growth can be attributed to the increasing adoption of artificial intelligence (AI) technologies in clinical trials, specifically for patient matching, which involves the identification and recruitment of suitable participants for research studies. The market expansion is driven by factors such as the need for more efficient and accurate patient selection, the rising complexity of clinical trials, and the potential of AI algorithms to analyze large datasets and identify eligible patients based on specific criteria, ultimately enhancing the speed and effectiveness of clinical trial recruitment processes.

AI-based Clinical Trial Solutions For Patient Matching Market, Forecast & Y-O-Y Growth Rate, 2020 - 2028
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This report is being written to illustrate the market opportunity by region and by segments, indicating opportunity areas for the vendors to tap upon. To estimate the opportunity, it was very important to understand the current market scenario and the way it will grow in future.

Production and consumption patterns are being carefully compared to forecast the market. Other factors considered to forecast the market are the growth of the adjacent market, revenue growth of the key market vendors, scenario-based analysis, and market segment growth.

The market size was determined by estimating the market through a top-down and bottom-up approach, which was further validated with industry interviews. Considering the nature of the market we derived the Health Care Technology by segment aggregation, the contribution of the Health Care Technology in Health Care Equipment & Services and vendor share.

To determine the growth of the market factors such as drivers, trends, restraints, and opportunities were identified, and the impact of these factors was analyzed to determine the market growth. To understand the market growth in detail, we have analyzed the year-on-year growth of the market. Also, historic growth rates were compared to determine growth patterns.

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FAQs

The market for AI-based Clinical Trial Solutions For Patient Matching was estimated to be valued at US$ XX Mn in 2021.

The AI-based Clinical Trial Solutions For Patient Matching Market is estimated to grow at a CAGR of XX% by 2028.

The AI-based Clinical Trial Solutions For Patient Matching Market is segmented on the basis of Therapeutic Application, End-use, Region.

Based on region, the AI-based Clinical Trial Solutions For Patient Matching Market is segmented into North America, Europe, Asia Pacific, Middle East & Africa and Latin America.

The key players operating in the AI-based Clinical Trial Solutions For Patient Matching Market are Unlearn.AI, Inc., Antidote Technologies, Inc., Deep6.ai, Mendel.ai, Aris Global, Deep Lens AI, AmerisourceBergen Corporation, Koneksa, Microsoft Corporation , GNS Healthcare.

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AI-based Clinical Trial Solutions For Patient Matching Market

Report ID: UCMIG35G2118

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