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市場調查報告書
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1855786

2025年人工智慧（AI）驅動的罕見疾病患者查找全球市場報告

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個工作天內

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簡介目錄

近年來，人工智慧（AI）驅動的罕見疾病患者搜尋市場呈指數級成長，預計從2024年的12.5億美元成長到2025年的16.2億美元，複合年成長率（CAGR）達30.1%。這一成長可歸因於基因定序技術的日益普及、電子健康記錄的廣泛應用、製藥公司與人工智慧（AI）新興企業公司合作的加強、對疾病早期檢測的日益重視以及真實世界證據的不斷積累。

預計未來幾年，人工智慧 (AI) 驅動的罕見疾病患者篩檢市場將呈指數級成長，到 2029 年市場規模將達到 46 億美元，複合年成長率 (CAGR) 為 29.7%。預測期內的成長可歸因於多模態資料分析的日益融合、AI 驅動的臨床決策支援系統的廣泛應用、穿戴式和遠端監測設備的日益普及、以患者為中心的醫療保健平台投資的不斷增加，以及對罕見疾病檢測預測分析的日益重視。預測期內的關鍵趨勢包括：非結構化醫療數據的自然語言處理技術的進步、用於安全共享患者數據的聯邦學習技術的共用、技術賦能的多組體學數據分析、用於罕見疾病建模的合成數據生成技術的進步，以及 AI主導的數位生物標記的創新。

該研究平台是一個利用人工智慧演算法識別和匹配罕見疾病患者的技術平台，用於臨床試驗、研究和個人化治療。它分析包括醫療記錄、基因組資訊和真實世界健康數據在內的各種資料集，以精準識別潛在患者。透過提高患者識別效率，該平台能夠加速研究進程，改善臨床試驗招募，並支持標靶治療的開發。

人工智慧驅動的罕見疾病患者搜尋系統的核心組成部分是軟體和服務。軟體包含處理健康和基因組數據的程式和演算法，以產生可操作的見解。部署選項包括雲端基礎方案和本地部署方案。這些平台適用於醫院、診所、研究機構、製藥公司等，服務於醫療保健提供者、生命科學公司、支付方以及罕見疾病管理領域的其他相關人員等最終用戶。

美國在2025年春季突然提高關稅，由此引發的貿易摩擦對醫療保健產業造成了嚴重衝擊，尤其對關鍵醫療設備、診斷試劑和藥品的供應造成了嚴重影響。醫院和醫療機構面臨進口手術器械、影像設備以及注射器、導管等耗材成本不斷上漲的困境。這些成本的增加加劇了醫療預算的緊張，導致一些醫療機構必須推遲設備升級或將成本轉嫁給患者。此外，原料和零件的關稅也阻礙了必需藥品和醫療設備的生產，造成供應鏈瓶頸。為了應對這項挑戰，醫療產業正在積極調整籌資策略，盡可能地促進本地生產，並呼籲對緊急醫療產品實施關稅豁免。

本研究報告是商業研究公司（The Business Research Company）最新系列報告的一部分，提供人工智慧（AI）驅動的罕見疾病患者查找市場統計數據，包括全球市場規模、區域佔有率、市場佔有率領先的競爭對手、詳細的市場細分、市場趨勢和商業機會。這份由人工智慧（AI）驅動的罕見疾病患者查找市場研究報告對該行業的現狀和未來發展趨勢進行了深入分析，為您提供所需的一切觀點。

數位醫療和遠端醫療的日益普及預計將推動人工智慧（AI）驅動的罕見疾病患者查找市場的發展。數位醫療是指利用科技、軟體和電子工具來監測和改善健康狀況，而遠端醫療是指透過視訊通話、行動應用程式和線上平台等技術遠端提供醫療保健服務。這種向數位醫療和遠端醫療的轉變源於患者和醫療服務提供者對更便捷、更易於獲取、更省時的醫療保健選擇的需求。人工智慧驅動的罕見疾病患者搜尋服務透過準確識別患者、促進遠端監測以及實現及時的個人化虛擬諮詢來支援這些服務。例如，Rock Health 2023 年的一項調查顯示，55 歲及以上人口中有 76% 使用過遠端醫療，所有受訪者中有 80% 曾使用過遠端醫療，高於 2021 年的 72%。這種日益成長的接受度正在推動人工智慧（AI）驅動的罕見疾病患者查找市場的成長。

在人工智慧 (AI) 驅動的罕見疾病患者搜尋市場，各公司正致力於開發高精度患者招募解決方案，利用先進演算法和真實世界數據，更快地識別和招募合格的患者。這些解決方案旨在縮短招募時間，並提高臨床試驗的成功率。例如，美國商業情報公司 Citeline 於 2024 年 4 月推出了 Citeline PatientMatch 平台。該平台結合了先進演算法和真實世界數據（例如來自 400 多家醫院的檢測結果、生物標記和電子健康記錄），幫助申辦者和研究人員識別適合臨床試驗的患者。這項技術簡化了入組流程，並支援多個治療領域的各種試驗通訊協定。

2022年11月，總部位於美國的生命科學技術公司Norstella與Citeline以50億美元的價格合併。 Norstella專注於為難以觸及的患者群體（例如罕見疾病患者）提供人工智慧輔助的臨床試驗規劃服務。此次合併旨在透過整合Citeline的臨床試驗智慧和病患招募能力，增強Norstella的全球影響力。 Citeline以其人工智慧主導的工具而聞名，其中包括專門用於定位和識別罕見疾病患者群體的NorstellaLinQ產品，該產品能夠進一步支援藥物研發和商業化。

人工智慧 (AI) 驅動的罕見疾病患者查找市場由提供臨床試驗招募、患者識別、電子健康記錄(EHR) 資料探勘、自然語言處理 (NLP) 和真實世界證據 (RWE) 分析等服務的營業單位所獲得的收入組成。市場價值還包括服務供應商銷售的任何相關產品或包含在其服務產品中的任何相關產品的價值。人工智慧 (AI) 驅動的罕見疾病患者查找市場還包括預測分析工具、自然語言處理引擎、機器學習模型、數據整合平台、 電子健康記錄連接器、基因組數據分析器、患者匹配引擎、臨床決策支援工具和真實世界數據聚合器的銷售。該市場的價值為“出廠價”，即產品製造商或創建者銷售給其他營業單位（包括下游製造商、批發商、經銷商和零售商）或直接銷售給最終客戶的產品價值。該市場的產品價值還包括產品創建者銷售的任何相關服務的價值。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 市場：宏觀經濟情景，包括利率、通貨膨脹、地緣政治、貿易戰和關稅，以及新冠疫情及其復甦對市場的影響

第5章 全球成長分析與策略分析框架

  • 全球人工智慧 (AI) 驅動的罕見疾病患者查找器：PESTEL 分析（政治、社會、技術、環境、法律因素、促進因素和限制因素）
  • 終端用戶產業分析
  • 全球人工智慧（AI）驅動的罕見疾病患者尋找市場：成長率分析
  • 全球人工智慧（AI）驅動的罕見疾病患者尋找市場表現：規模和成長，2019-2024年
  • 全球人工智慧（AI）驅動的罕見疾病患者尋找市場預測：規模和成長，2024-2029年，2034年預測
  • 全球人工智慧 (AI) 驅動的罕見疾病患者查找器：潛在市場規模 (TAM)

第6章 市場細分

  • 全球人工智慧（AI）驅動的罕見疾病患者查找市場：按組件分類，實際值和預測值，2019-2024年、2024-2029年預測值、2034年預測值
  • 軟體
  • 服務
  • 全球人工智慧（AI）驅動的罕見疾病患者尋找市場：按部署模式、效能和預測分類，2019-2024年、2024-2029年預測、2034年預測
  • 雲端基礎的
  • 本地部署
  • 全球人工智慧（AI）驅動的罕見疾病患者尋找市場：按應用領域分類，實際結果和預測，2019-2024年、2024-2029年預測、2034年預測
  • 醫院
  • 診所
  • 研究所
  • 製藥公司
  • 其他用途
  • 全球人工智慧（AI）驅動的罕見疾病患者查找市場：按最終用戶分類，實際數據和預測數據，2019-2024年、2024-2029年預測數據、2034年預測數據
  • 醫療保健提供者
  • 生命科學公司
  • 付款人
  • 其他最終用戶
  • 全球人工智慧（AI）驅動的罕見疾病患者尋找市場：按軟體、類型、實際值和預測值細分，2019-2024年、2024-2029年預測值、2034年預測值
  • 電子資料擷取
  • 資料管理平台
  • 分析和報告工具
  • 病人參與工具
  • 臨床試驗管理系統
  • 全球人工智慧（AI）驅動的罕見疾病患者尋找市場：按服務、類型、實際值和預測值細分，2019-2024年、2024-2029年預測值、2034年預測值
  • 實施與整合
  • 培訓和支持
  • 資料託管與安全
  • 諮詢服務
  • 維護和升級

第7章 區域和國家分析

  • 全球人工智慧（AI）驅動的罕見疾病患者尋找市場：按地區、績效和預測分類，2019-2024年、2024-2029年預測、2034年預測
  • 全球人工智慧（AI）驅動的罕見疾病患者尋找市場：按國家/地區分類，實際結果和預測，2019-2024 年、2024-2029 年預測、2034 年預測

第8章 亞太市場

第9章：中國市場

第10章 印度市場

第11章 日本市場

第12章：澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章：西歐市場

第16章英國市場

第17章：德國市場

第18章：法國市場

第19章：義大利市場

第20章：西班牙市場

第21章 東歐市場

第22章：俄羅斯市場

第23章 北美市場

第24章美國市場

第25章：加拿大市場

第26章 南美洲市場

第27章：巴西市場

第28章 中東市場

第29章：非洲市場

第30章：競爭格局與公司概況

  • 人工智慧（AI）驅動的罕見疾病患者尋找市場：競爭格局
  • 人工智慧（AI）驅動的罕見疾病患者查找市場：公司概況
    • 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：其他領先和創新企業

  • 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 全球市場競爭基準化分析與儀錶板

第33章 重大併購

第34章 近期市場趨勢

第35章：高潛力市場國家、細分市場與策略

  • 2029年人工智慧（AI）驅動的罕見疾病患者查找市場：提供新機會的國家
  • 2029年人工智慧（AI）驅動的罕見疾病患者查找市場：提供新機會的細分市場
  • 2029年人工智慧（AI）驅動的罕見疾病患者尋找市場：成長策略
    • 基於市場趨勢的策略
    • 競爭對手策略

第36章附錄

簡介目錄
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.

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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.

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