Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market Expected to Record Steady Growth and Approach $5.95 Billion by 2030
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What Market Value Is Expected For The Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market At The End Of The 2026–2030 Forecast Period?
The artificial intelligence (AI)-driven rare disease patient finder market has experienced substantial expansion in recent years. This market is expected to increase from $1.62 billion in 2025 to $2.11 billion in 2026, demonstrating a compound annual growth rate (CAGR) of 29.9%. The historical growth within this sector can be linked to factors such as the growing availability of electronic health records, the early integration of data analytics in clinical research, the expansion of genomic databases, an increased focus on orphan diseases, and the initial deployment of AI in trial recruitment.
The artificial intelligence (AI)-driven rare disease patient finder market size is projected to experience substantial expansion over the upcoming years. This market is anticipated to reach $5.95 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 29.6%. Several factors are contributing to this growth during the forecast period, including higher investments in precision medicine research, an increasing need for more rapid clinical trial enrollment, the broadened scope of real-world evidence analytics, enhanced collaboration among healthcare and life sciences entities, and greater regulatory encouragement for innovations in rare diseases. Key trends foreseen for this period encompass the expanded deployment of AI-based patient identification algorithms, the growing incorporation of multi-source health data, increased automation in clinical trial recruitment processes, the development of precision patient matching platforms, and a heightened emphasis on facilitating rare disease research.
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Which Market Drivers Are Supporting The Expansion Of The Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market?
The market for artificial intelligence (AI)-driven rare disease patient finders is anticipated to expand, driven by the growing adoption of digital health and telemedicine. Digital health encompasses the application of technology, software, and electronic instruments to oversee, control, and enhance health and well-being. Meanwhile, telemedicine involves providing healthcare remotely through telecommunications, utilizing tools like video consultations, mobile applications, and web platforms. This rising acceptance stems from both patients and healthcare providers seeking convenient, efficient, and easily accessible healthcare options. Artificial intelligence (AI)-driven rare disease patient finders bolster digital health and telemedicine efforts by precisely identifying patients, facilitating remote oversight, prompt virtual consultations, and tailored treatment plans. For example, in November 2025, the France-based intergovernmental organization, Organisation for Economic Co operation and Development, reported advancements in EHR access within OECD countries. Data from comparable countries showed that in 2024, the average availability of online digital health services reached 82%, an increase from 79% in 2023. Consequently, the growing embrace of digital health and telemedicine is fueling the expansion of the artificial intelligence (AI)-driven rare disease patient finder market.
What Segment Types Make Up 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
What Trends Are Advancing Progress In The Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market?
Major companies operating in the AI-driven rare disease patient finder market are prioritizing the creation of innovative technologies, specifically precision patient recruitment solutions. These efforts aim to improve the accuracy, speed, and efficiency with which suitable participants are located for rare disease clinical trials, thereby simultaneously shortening recruitment periods and elevating trial success rates. A precision patient recruitment solution represents a technology-led method that leverages sophisticated algorithms and real-world data to precisely pinpoint and connect with patients who meet specific clinical trial eligibility requirements. An example of this innovation is found in April 2024, when Citeline, a US-based business intelligence and data analytics company, introduced Citeline PatientMatch. This platform integrates advanced algorithms with extensive real-world data, including lab results, biomarkers, and electronic medical records sourced from over 400 hospitals and health systems. Its purpose is to assist sponsors and researchers in identifying eligible patients for clinical trials expeditiously and effectively, simplify patient onboarding, and facilitate intricate and varied research designs across multiple therapeutic areas.
Who Are The Key Players Driving Competition In The Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market?
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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How Is The Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market Distributed Across Key Geographic Regions?
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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