Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Global Market Report 2025

Description

An artificial intelligence (AI)-driven rare disease patient finder is a technology platform that uses AI algorithms to identify and match patients with rare diseases for clinical trials, research studies, and personalized treatments. It analyzes diverse datasets, including medical records, genomic information, and real-world health data, to accurately locate potential patients. By enhancing patient identification efficiency, it accelerates research, improves clinical trial recruitment, and supports the development of targeted therapies.

The main components of the AI-driven rare disease patient finder are software and services. The software includes programs and algorithms that process health and genomic data to generate actionable insights. Deployment modes include cloud-based and on-premises solutions. These platforms are applied across hospitals, clinics, research institutes, and pharmaceutical companies, serving end-users such as healthcare providers, life sciences companies, payers, and other stakeholders in rare disease management.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sudden escalation of U.S. tariffs and the consequent trade frictions in spring 2025 are severely impacting the healthcare sector, particularly in the supply of critical medical devices, diagnostic equipment, and pharmaceuticals. Hospitals and healthcare providers are facing higher costs for imported surgical instruments, imaging equipment, and consumables such as syringes and catheters, many of which have limited domestic alternatives. These increased costs are straining healthcare budgets, leading some providers to delay equipment upgrades or pass on expenses to patients. Additionally, tariffs on raw materials and components are disrupting the production of essential drugs and devices, causing supply chain bottlenecks. In response, the industry is diversifying sourcing strategies, boosting local manufacturing where possible, and advocating for tariff exemptions on life-saving medical products.

The artificial intelligence (AI)-driven rare disease patient finder market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (AI)-driven rare disease patient finder market statistics, including the artificial intelligence (AI)-driven rare disease patient finder industry global market size, regional shares, competitors with the artificial intelligence (AI)-driven rare disease patient finder market share, detailed artificial intelligence (AI)-driven rare disease patient finder market segments, market trends, and opportunities, and any further data you may need to thrive in the artificial intelligence (AI)-driven rare disease patient finder industry. This artificial intelligence (AI)-driven rare disease patient finder market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The artificial intelligence (AI)-driven rare disease patient finder market size has grown exponentially in recent years. It will grow from $1.25 billion in 2024 to $1.62 billion in 2025 at a compound annual growth rate (CAGR) of 30.1%. The growth in the historic period can be attributed to increasing adoption of genomic sequencing, rising utilization of electronic health records, growing collaborations between pharmaceutical companies and artificial intelligence (AI) startups, heightened focus on early disease detection, and increasing availability of real-world evidence.

The artificial intelligence (AI)-driven rare disease patient finder market size is expected to see exponential growth in the next few years. It will grow to $4.60 billion in 2029 at a compound annual growth rate (CAGR) of 29.7%. The growth in the forecast period can be attributed to increasing integration of multimodal data analytics, rising adoption of AI-powered clinical decision support systems, growing use of wearable and remote monitoring devices, increasing investment in patient-centric healthcare platforms, and rising emphasis on predictive analytics for rare disease detection. Major trends in the forecast period include advancements in natural language processing for unstructured medical data, integration of federated learning for secure patient data sharing, technology-enabled multiomics data analysis, developments in synthetic data generation for rare disease modeling, and innovations in AI-driven digital biomarkers.

The growing acceptance of digital health and telemedicine is expected to drive the expansion of the artificial intelligence (AI)-driven rare disease patient finder market. Digital health involves using technology, software, and electronic tools to monitor and improve health, while telemedicine delivers healthcare services remotely through technologies such as video calls, mobile apps, and online platforms. This shift toward digital health and telemedicine is driven by the desire for more convenient, accessible, and time-saving healthcare options from both patients and healthcare providers. AI-driven rare disease patient finders support these services by accurately identifying patients, facilitating remote monitoring, and enabling timely virtual consultations with personalized care. For example, a 2023 survey by Rock Health revealed that 76% of individuals over 55 years old had used telemedicine, and 80% of all respondents had accessed telemedicine at some point, up from 72% in 2021. This increasing acceptance is contributing to the growth of the artificial intelligence (AI)-driven rare disease patient finder market.

Companies in the artificial intelligence (AI)-driven rare disease patient finder market are focusing on developing precision patient recruitment solutions, which use advanced algorithms and real-world data to identify and recruit eligible patients more quickly. These solutions aim to reduce recruitment timelines and enhance the success rates of clinical trials. For instance, Citeline, a U.S.-based business intelligence company, launched Citeline PatientMatch in April 2024. This platform uses sophisticated algorithms combined with real-world data, such as lab results, biomarkers, and electronic medical records from over 400 hospitals, to help sponsors and researchers identify suitable patients for clinical trials. This technology streamlines the enrollment process and supports diverse study protocols in multiple therapeutic areas.

In November 2022, Norstella, a U.S.-based life sciences technology company specializing in AI-assisted clinical trial planning for difficult-to-recruit patient populations such as those with rare diseases, merged with Citeline for $5 billion. The merger aims to enhance Norstella's global presence by integrating Citeline's clinical trial intelligence and patient recruitment capabilities. Citeline is known for its AI-driven tools, including the NorstellaLinQ product, which is specifically designed to target and identify rare disease patient populations, further supporting drug development and commercialization.

Major players in the artificial intelligence (AI)-driven rare disease patient finder market are UnitedHealth Group Incorporated, Dassault Systemes 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., and RareSum Inc.

North America was the largest region in the artificial intelligence (AI)-driven rare disease patient finder market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in artificial intelligence (AI)-driven rare disease patient finder report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the artificial intelligence (AI)-driven rare disease patient finder market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial intelligence (AI)-driven rare disease patient finder market consists of revenues earned by entities by providing services such as clinical trial recruitment, patient identification, electronic health record (EHR) data mining, natural language processing (NLP), and real-world evidence (RWE) analytics. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI)-driven rare disease patient finder market also includes sales of predictive analytics tools, natural language processing engines, machine learning models, data integration platforms, electronic health record connectors, genomic data analyzers, patient matching engines, clinical decision support tools, and real-world data aggregators. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on artificial intelligence (ai)-driven rare disease patient finder market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for artificial intelligence (ai)-driven rare disease patient finder ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence (ai)-driven rare disease patient finder market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The market characteristics section of the report defines and explains the market.
The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

Market segmentations break down the market into sub markets.
The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

Markets Covered: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
Companies Mentioned: UnitedHealth Group Incorporated; Dassault Systemes 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.
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: PDF, Word and Excel Data Dashboard.

Product Code: r38435

1. Executive Summary

2. Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market Characteristics

3. Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market Trends And Strategies

4. Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

4.1. Supply Chain Impact from Tariff War & Trade Protectionism

5. Global Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Growth Analysis And Strategic Analysis Framework

5.1. Global Artificial Intelligence (AI)-Driven Rare Disease Patient Finder PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
5.2. Analysis Of End Use Industries
5.3. Global Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market Growth Rate Analysis
5.4. Global Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
5.5. Global Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
5.6. Global Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Total Addressable Market (TAM)

6. Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market Segmentation

6.1. Global Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Software
Services
6.2. Global Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Cloud-Based
On-Premises
6.3. Global Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Hospitals
Clinics
Research Institutes
Pharmaceutical Companies
Other Applications
6.4. Global Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Healthcare Providers
Life Sciences Companies
Payers
Other End-Users
6.5. Global Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Electronic Data Capture
Data Management Platform
Analytics And Reporting Tools
Patient Engagement Tools
Clinical Trial Management System
6.6. Global Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Implementation And Integration
Training And Support
Data Hosting And Security
Consulting Services
Maintenance And Upgrades

7. Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market Regional And Country Analysis

7.1. Global Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
7.2. Global Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market

8.1. Asia-Pacific Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market Overview
Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
8.2. Asia-Pacific Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
8.3. Asia-Pacific Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
8.4. Asia-Pacific Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market

9.1. China Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market Overview
9.2. China Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
9.3. China Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
9.4. China Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market

10.1. India Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
10.2. India Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
10.3. India Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market

11.1. Japan Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market Overview
11.2. Japan Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
11.3. Japan Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
11.4. Japan Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market

12.1. Australia Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
12.2. Australia Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
12.3. Australia Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market

13.1. Indonesia Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
13.2. Indonesia Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
13.3. Indonesia Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market

14.1. South Korea Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market Overview
14.2. South Korea Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
14.3. South Korea Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
14.4. South Korea Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market

15.1. Western Europe Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market Overview
15.2. Western Europe Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
15.3. Western Europe Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
15.4. Western Europe Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market

16.1. UK Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
16.2. UK Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
16.3. UK Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market

17.1. Germany Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
17.2. Germany Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
17.3. Germany Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market

18.1. France Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
18.2. France Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
18.3. France Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market

19.1. Italy Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
19.2. Italy Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
19.3. Italy Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market

20.1. Spain Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
20.2. Spain Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
20.3. Spain Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market

21.1. Eastern Europe Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market Overview
21.2. Eastern Europe Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
21.3. Eastern Europe Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
21.4. Eastern Europe Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market

22.1. Russia Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
22.2. Russia Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
22.3. Russia Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market

23.1. North America Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market Overview
23.2. North America Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
23.3. North America Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
23.4. North America Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market

24.1. USA Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market Overview
24.2. USA Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
24.3. USA Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
24.4. USA Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market

25.1. Canada Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market Overview
25.2. Canada Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
25.3. Canada Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
25.4. Canada Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market

26.1. South America Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market Overview
26.2. South America Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
26.3. South America Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
26.4. South America Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market

27.1. Brazil Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
27.2. Brazil Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
27.3. Brazil Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market

28.1. Middle East Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market Overview
28.2. Middle East Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
28.3. Middle East Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
28.4. Middle East Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market

29.1. Africa Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market Overview
29.2. Africa Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
29.3. Africa Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
29.4. Africa Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market Competitive Landscape And Company Profiles

30.1. Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market Competitive Landscape
30.2. Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market Company Profiles
- 30.2.1. UnitedHealth Group Incorporated Overview, Products and Services, Strategy and Financial Analysis
- 30.2.2. Dassault Systemes SE Overview, Products and Services, Strategy and Financial Analysis
- 30.2.3. GeneDx Holdings Corp. Overview, Products and Services, Strategy and Financial Analysis
- 30.2.4. HealthVerity Inc. Overview, Products and Services, Strategy and Financial Analysis
- 30.2.5. ConcertAI Inc. Overview, Products and Services, Strategy and Financial Analysis

31. Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market Other Major And Innovative Companies

31.1. Komodo Health Inc.
31.2. Unlearn.AI Inc.
31.3. Antidote Technologies Inc.
31.4. Healx Ltd.
31.5. FDNA Inc.
31.6. Saventic Health Sp. z o.o.
31.7. Digital Pharma Lab SAS
31.8. AnnieGuard Ltd.
31.9. Rapid Innovation Labs Inc.
31.10. Sqilline EOOD
31.11. TrialX Inc.
31.12. enGenome Srl
31.13. EveryCure Inc.
31.14. ThinkGenetic Inc.
31.15. RareSum Inc.

32. Global Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market

34. Recent Developments In The Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market

35. Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market High Potential Countries, Segments and Strategies

35.1 Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market In 2029 - Countries Offering Most New Opportunities
35.2 Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market In 2029 - Segments Offering Most New Opportunities
35.3 Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Market In 2029 - Growth Strategies
- 35.3.1 Market Trend Based Strategies
- 35.3.2 Competitor Strategies

36. Appendix

36.1. Abbreviations
36.2. Currencies
36.3. Historic And Forecast Inflation Rates
36.4. Research Inquiries
36.5. The Business Research Company
36.6. Copyright And Disclaimer