查看购物车
  • Traditional Chinese
  • English
  • Japanese
封面
市场调查报告书
商品编码
1855786

2025年人工智慧（AI）驱动的罕见疾病患者查找全球市场报告

Artificial Intelligence (AI)-Driven Rare Disease Patient Finder Global Market Report 2025
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10个工作天内

价格
简介目录

近年来，人工智慧（AI）驱动的罕见疾病患者搜寻市场呈指数级增长，预计从2024年的12.5亿美元增长到2025年的16.2亿美元，复合年增长率（CAGR）达30.1%。这一增长可归因于基因定序技术的日益普及、电子健康记录的广泛应用、製药公司与人工智慧（AI）新兴企业公司合作的加强、对疾病早期检测的日益重视以及真实世界证据的不断积累。

预计未来几年，人工智慧 (AI) 驱动的罕见疾病患者筛检市场将呈指数级增长，到 2029 年市场规模将达到 46 亿美元，复合年增长率 (CAGR) 为 29.7%。预测期内的成长可归因于多模态资料分析的日益融合、AI 驱动的临床决策支援系统的广泛应用、可穿戴和远端监测设备的日益普及、以患者为中心的医疗保健平台投资的不断增加，以及对罕见疾病检测预测分析的日益重视。预测期内的关键趋势包括：非结构化医疗数据的自然语言处理技术的进步、用于安全共享患者数据的联邦学习技术的共用、技术赋能的多组体学数据分析、用于罕见疾病建模的合成数据生成技术的进步，以及 AI主导的数位生物标誌物的创新。

该研究平台是一个利用人工智慧演算法识别和匹配罕见疾病患者的技术平台，用于临床试验、研究和个人化治疗。它分析包括医疗记录、基因组资讯和真实世界健康数据在内的各种数据集，以精准识别潜在患者。透过提高患者识别效率，该平台能够加速研究进程，改善临床试验招募，并支持标靶治疗的开发。

人工智慧驱动的罕见疾病患者搜寻系统的核心组成部分是软体和服务。软体包含处理健康和基因组数据的程式和演算法，以产生可操作的见解。部署选项包括云端基础方案和本地部署方案。这些平台适用于医院、诊所、研究机构、製药公司等，服务于医疗保健提供者、生命科学公司、支付方以及罕见疾病管理领域的其他相关人员等最终用户。

美国在2025年春季突然提高关税，由此引发的贸易摩擦对医疗保健产业造成了严重衝击，尤其对关键医疗设备、诊断试剂和药品的供应造成了严重影响。医院和医疗机构面临进口手术器械、影像设备以及注射器、导管等耗材成本不断上涨的困境。这些成本的增加加剧了医疗预算的紧张，导致一些医疗机构必须推迟设备升级或将成本转嫁给患者。此外，原料和零件的关税也阻碍了必需药品和医疗设备的生产，造成供应链瓶颈。为了应对这项挑战，医疗产业正在积极调整筹资策略，尽可能地促进本地生产，并呼吁对紧急医疗产品实施关税豁免。

本研究报告是商业研究公司（The Business Research Company）最新系列报告的一部分，提供人工智慧（AI）驱动的罕见疾病患者查找市场统计数据，包括全球市场规模、区域份额、市场份额领先的竞争对手、详细的市场细分、市场趋势和商业机会。这份由人工智慧（AI）驱动的罕见疾病患者查找市场研究报告对该行业的现状和未来发展趋势进行了深入分析，为您提供所需的一切观点。

数位医疗和远端医疗的日益普及预计将推动人工智慧（AI）驱动的罕见疾病患者查找市场的发展。数位医疗是指利用科技、软体和电子工具来监测和改善健康状况，而远端医疗是指透过视讯通话、行动应用程式和线上平台等技术远端提供医疗保健服务。这种向数位医疗和远端医疗的转变源于患者和医疗服务提供者对更便捷、更易于获取、更省时的医疗保健选择的需求。人工智慧驱动的罕见疾病患者搜寻服务透过准确识别患者、促进远端监测以及实现及时的个人化虚拟咨询来支援这些服务。例如，Rock Health 2023 年的一项调查显示，55 岁及以上人口中有 76% 使用过远端医疗，所有受访者中有 80% 曾使用过远端医疗，高于 2021 年的 72%。这种日益增长的接受度正在推动人工智慧（AI）驱动的罕见疾病患者查找市场的成长。

在人工智慧 (AI) 驱动的罕见疾病患者搜寻市场，各公司正致力于开发高精度患者招募解决方案，利用先进演算法和真实世界数据，更快地识别和招募合格的患者。这些解决方案旨在缩短招募时间，并提高临床试验的成功率。例如，美国商业情报公司 Citeline 于 2024 年 4 月推出了 Citeline PatientMatch 平台。该平台结合了先进演算法和真实世界数据（例如来自 400 多家医院的检测结果、生物标记和电子健康记录），帮助申办者和研究人员识别适合临床试验的患者。这项技术简化了入组流程，并支援多个治疗领域的各种试验通讯协定。

2022年11月，总部位于美国的生命科学技术公司Norstella与Citeline以50亿美元的价格合併。 Norstella专注于为难以触及的患者群体（例如罕见疾病患者）提供人工智慧辅助的临床试验规划服务。此次合併旨在透过整合Citeline的临床试验智慧和病患招募能力，增强Norstella的全球影响力。 Citeline以其人工智慧主导的工具而闻名，其中包括专门用于定位和识别罕见疾病患者群体的NorstellaLinQ产品，该产品能够进一步支援药物研发和商业化。

人工智慧 (AI) 驱动的罕见疾病患者查找市场由提供临床试验招募、患者识别、电子健康记录(EHR) 资料探勘、自然语言处理 (NLP) 和真实世界证据 (RWE) 分析等服务的营业单位所获得的收入组成。市场价值还包括服务供应商销售的任何相关产品或包含在其服务产品中的任何相关产品的价值。人工智慧 (AI) 驱动的罕见疾病患者查找市场还包括预测分析工具、自然语言处理引擎、机器学习模型、数据整合平台、 电子健康记录连接器、基因组数据分析器、患者匹配引擎、临床决策支援工具和真实世界数据聚合器的销售。该市场的价值为“出厂价”，即产品製造商或创建者销售给其他营业单位（包括下游製造商、批发商、经销商和零售商）或直接销售给最终客户的产品价值。该市场的产品价值还包括产品创建者销售的任何相关服务的价值。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第四章 市场：宏观经济情景，包括利率、通货膨胀、地缘政治、贸易战和关税，以及新冠疫情及其復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 全球人工智慧 (AI) 驱动的罕见疾病患者查找器：PESTEL 分析（政治、社会、技术、环境、法律因素、驱动因素和限制因素）
  • 终端用户产业分析
  • 全球人工智慧（AI）驱动的罕见疾病患者寻找市场：成长率分析
  • 全球人工智慧（AI）驱动的罕见疾病患者寻找市场表现：规模和成长，2019-2024年
  • 全球人工智慧（AI）驱动的罕见疾病患者寻找市场预测：规模和成长，2024-2029年，2034年预测
  • 全球人工智慧 (AI) 驱动的罕见疾病患者查找器：潜在市场规模 (TAM)

第六章 市场细分

  • 全球人工智慧（AI）驱动的罕见疾病患者查找市场：按组件划分，实际值和预测值，2019-2024年、2024-2029年预测值、2034年预测值
  • 软体
  • 服务
  • 全球人工智慧（AI）驱动的罕见疾病患者寻找市场：按部署模式、效能和预测划分，2019-2024年、2024-2029年预测、2034年预测
  • 云端基础的
  • 本地部署
  • 全球人工智慧（AI）驱动的罕见疾病患者寻找市场：按应用领域划分，实际结果和预测，2019-2024年、2024-2029年预测、2034年预测
  • 医院
  • 诊所
  • 研究所
  • 製药公司
  • 其他用途
  • 全球人工智慧（AI）驱动的罕见疾病患者查找市场：按最终用户划分，实际数据和预测数据，2019-2024年、2024-2029年预测数据、2034年预测数据
  • 医疗保健提供者
  • 生命科学公司
  • 付款人
  • 其他最终用户
  • 全球人工智慧（AI）驱动的罕见疾病患者寻找市场：按软体、类型、实际值和预测值细分，2019-2024年、2024-2029年预测值、2034年预测值
  • 电子资料撷取
  • 资料管理平台
  • 分析和报告工具
  • 病人参与工具
  • 临床试验管理系统
  • 全球人工智慧（AI）驱动的罕见疾病患者寻找市场：按服务、类型、实际值和预测值细分，2019-2024年、2024-2029年预测值、2034年预测值
  • 实施与集成
  • 培训和支持
  • 资料託管与安全
  • 咨询服务
  • 维护和升级

第七章 区域和国家分析

  • 全球人工智慧（AI）驱动的罕见疾病患者寻找市场：按地区、绩效和预测划分，2019-2024年、2024-2029年预测、2034年预测
  • 全球人工智慧（AI）驱动的罕见疾病患者寻找市场：按国家/地区划分，实际结果和预测，2019-2024 年、2024-2029 年预测、2034 年预测

第八章 亚太市场

第九章：中国市场

第十章 印度市场

第十一章 日本市场

第十二章：澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章：西欧市场

第十六章英国市场

第十七章：德国市场

第十八章：法国市场

第十九章：义大利市场

第二十章：西班牙市场

第21章 东欧市场

第22章：俄罗斯市场

第23章 北美市场

第24章美国市场

第25章：加拿大市场

第26章 南美洲市场

第27章：巴西市场

第28章 中东市场

第29章：非洲市场

第三十章：竞争格局与公司概况

  • 人工智慧（AI）驱动的罕见疾病患者寻找市场：竞争格局
  • 人工智慧（AI）驱动的罕见疾病患者查找市场：公司概况
    • UnitedHealth Group Incorporated Overview, Products and Services, Strategy and Financial Analysis
    • Dassault Systemes SE Overview, Products and Services, Strategy and Financial Analysis
    • GeneDx Holdings Corp. Overview, Products and Services, Strategy and Financial Analysis
    • HealthVerity Inc. Overview, Products and Services, Strategy and Financial Analysis
    • ConcertAI Inc. Overview, Products and Services, Strategy and Financial Analysis

第31章：其他领先和创新企业

  • Komodo Health Inc.
  • Unlearn.AI Inc.
  • Antidote Technologies Inc.
  • Healx Ltd.
  • FDNA Inc.
  • Saventic Health Sp. z oo
  • Digital Pharma Lab SAS
  • AnnieGuard Ltd.
  • Rapid Innovation Labs Inc.
  • Sqilline EOOD
  • TrialX Inc.
  • enGenome Srl
  • EveryCure Inc.
  • ThinkGenetic Inc.
  • RareSum Inc.

第32章 全球市场竞争基准化分析与仪錶板

第33章 重大併购

第34章 近期市场趋势

第35章：高潜力市场国家、细分市场与策略

  • 2029年人工智慧（AI）驱动的罕见疾病患者查找市场：提供新机会的国家
  • 2029年人工智慧（AI）驱动的罕见疾病患者查找市场：提供新机会的细分市场
  • 2029年人工智慧（AI）驱动的罕见疾病患者寻找市场：成长策略
    • 基于市场趋势的策略
    • 竞争对手策略

第36章附录

简介目录
Product Code: r38435

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.

Reasons to Purchase

  • Gain a truly global perspective with the most comprehensive report available on this market covering 15 geographies.
  • Assess the impact of key macro factors such as geopolitical conflicts, trade policies and tariffs, post-pandemic supply chain realignment, inflation and interest rate fluctuations, and evolving regulatory landscapes.
  • Create regional and country strategies on the basis of local data and analysis.
  • Identify growth segments for investment.
  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on the latest market shares.
  • Benchmark performance against key competitors.
  • Suitable for supporting your internal and external presentations with reliable high quality data and analysis
  • Report will be updated with the latest data and delivered to you within 2-3 working days of order along with an Excel data sheet for easy data extraction and analysis.
  • All data from the report will also be delivered in an excel dashboard format.

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.

Table of Contents

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