Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Sector Forecast Shows Robust Momentum, Climbing to $5.95 Billion With 29.6% CAGR
Uncover key drivers, emerging technologies, and competitive movements shaping the artificial intelligence (ai)-driven rare disease patient finder market from 2026–2035 with trusted insights from The Business Research Company
What was the valuation of the Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market in 2026, and what figure is it projected to hit by 2030?
The market size for the artificial intelligence (AI)-driven rare disease patient finder has experienced rapid expansion recently. This market is projected to expand from $1.62 billion in 2025 to $2.11 billion in 2026, demonstrating a compound annual growth rate (CAGR) of 29.9%. Historically, this growth can be attributed to several factors, including the increasing accessibility of electronic health records, the initial incorporation of data analytics in clinical research, the enlargement of genomic databases, a heightened emphasis on orphan diseases, and the early application of AI in recruiting for clinical trials.
The market for artificial intelligence (AI)-driven rare disease patient finder solutions is anticipated to experience substantial expansion over the upcoming years. This market is projected to reach $5.95 billion by 2030, demonstrating a compound annual growth rate (CAGR) of 29.6%. This anticipated growth is driven by factors such as increased funding for precision medicine research, a greater need for expedited clinical trial enrollment, the broadening use of real-world evidence analytics, expanding partnerships between healthcare and life sciences companies, and enhanced regulatory backing for innovations in rare diseases. Key trends expected during this period involve the rising adoption of AI-based algorithms for patient identification, the increasing incorporation of health data from multiple sources, greater automation in recruiting for clinical trials, the proliferation of precision patient matching platforms, and a heightened emphasis on enabling rare disease research.
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Which Drivers Are Affecting Market Participation In The Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market?
The increasing acceptance of digital health and telemedicine is projected to fuel the growth of the artificial intelligence (AI)-driven rare disease patient finder market in the coming years. Digital health refers to the application of technology, software, and electronic instruments to oversee, manage, and enhance overall health and wellness. Telemedicine involves delivering healthcare services from a distance utilizing telecommunications technology, such as video conferences, mobile applications, and online platforms. The escalating adoption of digital health and telemedicine is attributed to patients and healthcare providers looking for convenient, efficient, and accessible healthcare alternatives. The artificial intelligence (AI)-driven rare disease patient finder complements digital health and telemedicine by precisely identifying patients, enabling remote patient monitoring, facilitating timely virtual consultations, and delivering personalized care. As an illustration, in November 2025, the Organisation for Economic Co operation and Development, a France-based intergovernmental organization, reported that OECD countries have advanced in broadening access to EHRs. By 2024, the average availability of online digital health services had reached 82%, marking an increase from 79% in 2023 among countries with comparable data. Therefore, the expanding acceptance of digital health and telemedicine is a key driver for the growth of the artificial intelligence (AI)-driven rare disease patient finder market.
What Segment Categories Are Covered In The Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market?
The artificial intelligence (AI)-driven rare disease patient finder market covered in this report is segmented –
1) By Component: Software, Services
2) By Deployment Mode: Cloud-Based, On-Premises
3) By Application: Hospitals, Clinics, Research Institutes, Pharmaceutical Companies, Other Applications
4) By End-User: Healthcare Providers, Life Sciences Companies, Payers, Other End-Users
Subsegments:
1) By Software: Electronic Data Capture, Data Management Platform, Analytics And Reporting Tools, Patient Engagement Tools, Clinical Trial Management System
2) By Services: Implementation And Integration, Training And Support, Data Hosting And Security, Consulting Services, Maintenance And Upgrades
Which Trends Are Shaping Activity Within The Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market?
Major companies operating within the AI-driven rare disease patient finder market are concentrating on developing technological advancements, specifically precision patient recruitment solutions. These efforts aim to improve the accuracy, speed, and efficiency of identifying eligible patients for rare disease clinical trials, consequently shortening recruitment timelines and boosting trial success rates. A precision patient recruitment solution is a technology-driven approach that utilizes sophisticated algorithms and real-world data to accurately locate and involve patients who meet specific clinical trial eligibility criteria. For instance, in April 2024, Citeline, a US-based business intelligence and data analytics company, launched Citeline PatientMatch. The platform merges advanced algorithms with comprehensive real-world data, encompassing lab results, biomarkers, and electronic medical records from over 400 hospitals and health systems. This innovation helps sponsors and investigators identify eligible patients for clinical trials in a timely and efficient manner, streamline enrollment, and support diverse and complex study protocols across multiple therapeutic areas.
Which Major Industry Participants Are Leading The Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market Growth?
Major companies operating in the artificial intelligence (AI)-driven rare disease patient finder market are UnitedHealth Group Incorporated, Dassault Systèmes SE, GeneDx Holdings Corp., HealthVerity Inc., ConcertAI Inc., Komodo Health Inc., Unlearn.AI Inc., Antidote Technologies Inc., Healx Ltd., FDNA Inc., Saventic Health Sp. z o.o., Digital Pharma Lab SAS, AnnieGuard Ltd., Rapid Innovation Labs Inc., Sqilline EOOD, TrialX Inc., enGenome Srl, EveryCure Inc., ThinkGenetic Inc., RareSum Inc.
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Which Region Is Expected To Experience The Fastest Growth In The Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market?
North America was the largest region in the artificial intelligence (AI)-driven rare disease patient finder market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI)-driven rare disease patient finder market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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