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人工智慧在診斷領域的應用－市場趨勢、競爭格局及至2032年的預測

Artificial Intelligence (AI) in Diagnostics - Market Insights, Competitive Landscape, and Market Forecast - 2032
出版日期: | 出版商: DelveInsight | 英文 150 Pages | 商品交期: 2-10個工作天內

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人工智慧診斷市場摘要

  • 全球診斷人工智慧市場預計將從 2024 年的 16.232 億美元成長到 2032 年的 80.8197 億美元，展現出強勁且持續的成長勢頭。
  • 全球人工智慧診斷市場規模預計在 2025-2032 年預測期內將以 22.31% 的複合年成長率成長。
  • 由於慢性病、遺傳性疾病和感染疾病的日益增多，全球人工智慧診斷市場正呈現快速成長態勢。人工智慧技術能夠分析複雜的醫療數據並識別細微的模式，從而實現早期檢測、精準診斷和個人化治療。主要市場參與者加大研發投入、建立策略合作夥伴關係以及持續的產品創新，進一步推動了這一成長，加速了人工智慧技術在醫療機構中的臨床應用。
  • 在診斷市場中營運的主要企業包括 GE HealthCare、Aidoc、Qure.ai、西門子醫療、PathAI、Ibex、Owkin, Inc.、Imagen Technologies、Aiforia、RADLogics、Tecomet Inc.、Prenosis, Inc.、Riverain Technologies、Envisionit Deep AI (Pty) Ltd.、Deep Inc., Inc.、Deep., Inc.
  • 受癌症等慢性疾病、糖尿病等文明病以及包括愛滋病在內的感染疾病日益加重的負擔，北美預計將繼續保持主導地位。這些疾病的日益流行，加上美國強大的醫療保健生態系統、人工智慧診斷技術的前沿研發以及快速的監管核准，使美國成為全球人工智慧驅動診斷創新的中心。
  • 在人工智慧診斷市場的組件區隔領域，硬體/軟體類別預計將在 2024 年佔最大的市場佔有率。

推動診斷人工智慧市場成長的因素

  • 慢性病和遺傳性疾病盛行率上升：糖尿病、心血管疾病和癌症等慢性病盛行率的上升，以及遺傳性疾病發生率的增加，推動了對更精準、更快速診斷的需求。人工智慧工具能夠分析大量資料集，識別早期疾病標記並預測疾病進展，從而幫助臨床醫生提供個人化治療。這種對精準高效管理複雜健康狀況日益成長的需求，正顯著推動醫院、實驗室和研究中心採用人工智慧診斷解決方案。
  • 增加研發投入與策略夥伴關係：醫療機構、科技公司和研究機構正不斷增加研發投入，以提升人工智慧診斷能力。策略合作與夥伴關係促進了創新解決方案的共同開發、人工智慧模型的臨床檢驗以及人工智慧與醫療工作流程的快速整合。這些措施正在加速產品創新，提高演算法準確性，並增強醫療服務提供者的信任，從而推動診斷人工智慧市場的整體成長。
  • 主要市場參與者正積極拓展產品產品系列，開發新型人工智慧診斷平台並改善現有解決方案。這些舉措包括整合先進的機器學習演算法、改進用戶介面以及遵守監管標準。持續的產品創新不僅能吸引新客戶，還能促使醫療服務提供者升級診斷基礎設施，進而推動市場成長，並在主要企業之間形成差異化競爭優勢。

本報告分析了全球人工智慧診斷市場，重點介紹了關鍵趨勢、成長要素、挑戰和機會。

目錄

第1章：診斷人工智慧市場報告概述

  • 調查範圍
  • 市場區隔
  • 市場假設

第2章：診斷人工智慧市場摘要整理

  • 市場概覽

第3章：診斷人工智慧市場關鍵促進因素分析

  • 診斷人工智慧市場促進因素
  • 診斷人工智慧市場的阻礙與課題
  • 診斷人工智慧市場機遇

第4章 影響分析

  • 人工智慧驅動的創新和應用
  • 美國關稅影響分析

第5章 監理分析

  • 美國
  • 歐洲
  • 日本
  • 中國

6. 波特五力分析診斷人工智慧市場

第7章 診斷人工智慧市場評估

  • 依組件
    • 硬體/軟體
    • 服務
  • 透過使用
    • 感染疾病診斷
    • 輻射
    • 瘤
    • 心
    • 其他
  • 透過技術
    • 機器學習
    • 自然語言處理
  • 依地區
    • 北美洲
    • 歐洲
    • 亞太地區
    • 其他地區

第8章 競爭情勢

第9章Start-Ups資金籌措與投資趨勢

10. 診斷人工智慧市場中的公司和產品概況

  • GE HealthCare
  • Aidoc
  • Qure.ai
  • Siemens Healthineers
  • PathAI
  • Ibex
  • Owkin, Inc
  • Imagen Technologies
  • Aiforia
  • RADLogics
  • Tecomet Inc.
  • Prenosis, Inc.
  • Riverain Technologies
  • Envisionit Deep AI（Pty）Ltd.
  • Deep Bio Inc.

第11章：KOL視角

第12章計劃方法

第13章：關於 DelveInsight

第14章 免責聲明和聯絡我們

Product Code: DIMDCL0864

Artificial Intelligence (AI) in Diagnostics Market Summary

  • The global artificial intelligence in diagnostics market is expected to increase from USD 1,623.20 million in 2024 to USD 8,081.97 million by 2032, reflecting strong and sustained growth.
  • The global artificial intelligence in diagnostics market is growing at a CAGR of 22.31% during the forecast period from 2025 to 2032.
  • The global artificial intelligence in diagnostics market is witnessing rapid growth, driven by the rising prevalence of chronic, genetic, and infectious diseases. AI technologies facilitate early detection, precise diagnosis, and personalized treatment by analyzing complex medical data and identifying subtle patterns. This growth is further strengthened by increased research and development, strategic collaborations, and continuous product innovation by key market players, accelerating clinical adoption across healthcare settings.
  • The leading companies operating in the artificial intelligence in diagnostics market include GE HealthCare, Aidoc, Qure.ai, Siemens Healthineers, PathAI, Ibex, Owkin, Inc., Imagen Technologies, Aiforia, RADLogics, Tecomet Inc., Prenosis, Inc., Riverain Technologies, Envisionit Deep AI (Pty) Ltd., Deep Bio Inc., Inc., and Others.
  • North America is expected to remain a dominant force in the artificial intelligence in diagnostics market. This is driven by the increasing burden of chronic diseases such as cancer, lifestyle-related disorders like diabetes, and infectious conditions, including HIV. This growing disease prevalence, combined with a strong healthcare ecosystem, cutting-edge R&D in AI-driven diagnostics, and rapid regulatory approvals, is positioning the U.S. as a global hub for AI-enabled diagnostic innovations.
  • In the component segment of the artificial intelligence in diagnostics market, the hardware/software category is estimated to account for the largest market share in 2024.

Factors Contributing to the Growth of Artificial Intelligence (AI) in Diagnostics Market

  • The Rising Cases of Chronic and Genetic Diseases: The increasing prevalence of chronic diseases such as diabetes, cardiovascular disorders, and cancer, along with the growing incidence of genetic disorders, is driving demand for more accurate and timely diagnostics. AI-powered tools can analyze vast datasets, identify early disease markers, and predict disease progression, helping clinicians provide personalized care. This heightened need for precision and efficiency in managing complex health conditions is significantly boosting the adoption of AI diagnostic solutions across hospitals, laboratories, and research centers.
  • Growing focus on research and development initiatives and the formation of strategic partnerships: Healthcare organizations, technology companies, and research institutions are increasingly investing in research and development to advance AI diagnostic capabilities. Strategic collaborations and partnerships are facilitating the co-creation of innovative solutions, clinical validation of AI models, and faster integration of AI into healthcare workflows. These initiatives accelerate product innovation, improve algorithm accuracy, and increase trust among healthcare providers, thereby driving the overall growth of the AI in Diagnostics market.
  • Increase in product development activities among the key market players: Key market players are actively expanding their product portfolios by developing new AI-driven diagnostic platforms and enhancing existing solutions. These activities include integrating advanced machine learning algorithms, improving user interfaces, and ensuring compliance with regulatory standards. Continuous product innovation not only attracts new customers but also encourages healthcare providers to upgrade their diagnostic infrastructure, thereby fueling market growth and creating competitive differentiation among leading companies.

Artificial Intelligence (AI) in Diagnostics Market Report Segmentation

This artificial intelligence in diagnostics market report offers a comprehensive overview of the global artificial intelligence in diagnostics market, highlighting key trends, growth drivers, challenges, and opportunities. It covers detailed market segmentation by Component (Hardware/Software and Services), Application (Infectious Disease Diagnostics, Radiology, Oncology, Cardiology, and Others), Technology (Machine Learning, Natural Language Processing, and Others), and Geography. The report provides valuable insights into the competitive landscape, regulatory environment, and market dynamics across major markets, including North America, Europe, and Asia-Pacific. Featuring in-depth profiles of leading industry players and recent product innovations, this report equips businesses with essential data to identify market potential, develop strategic plans, and capitalize on emerging opportunities in the rapidly growing artificial intelligence in diagnostics market.

Artificial Intelligence (AI) in Diagnostics refers to the use of advanced algorithms, including machine learning and deep learning, to analyze complex medical data and support clinical decision-making. By interpreting medical images, pathology slides, genomic data, and electronic health records, AI enhances diagnostic accuracy, speeds up disease detection, and enables predictive insights. These technologies assist healthcare professionals in identifying abnormalities, personalizing treatment plans, and improving overall patient outcomes, making diagnostics faster, more precise, and more efficient.

The growth of artificial intelligence in diagnostics market is being strongly propelled by several key factors. The rising prevalence of chronic and genetic diseases, including cancer, cardiovascular disorders, and diabetes, is driving demand for accurate, timely, and personalized diagnostics, making AI-powered tools increasingly essential in clinical practice. This is further supported by a growing focus on research and development initiatives and the formation of strategic partnerships between healthcare providers, technology companies, and research institutions, which accelerate innovation, clinical validation, and seamless integration of AI solutions into healthcare workflows.

Additionally, key market players are actively expanding their product portfolios by developing new AI-driven diagnostic platforms and enhancing existing tools with advanced machine learning algorithms, improved user interfaces, and regulatory compliance. Together, these trends are fostering increased adoption of AI diagnostics, improving clinical efficiency, and driving substantial growth in the market.

What are the latest Artificial Intelligence (AI) in Diagnostics Market Dynamics and Trends?

The Artificial Intelligence (AI) in Diagnostics market is expanding rapidly, driven by the rising prevalence of chronic, genetic, and infectious diseases such as cancer, cardiovascular disorders, neurological conditions, diabetes, rare genetic disorders, and infections, including HIV and hepatitis. This growth is further supported by the increasing adoption of digital health and imaging technologies, along with accelerated product development initiatives by key market players worldwide.

Cancer remains one of the primary drivers of market growth. As per Delveinsight analysis, new cancer cases are projected to reach 21.5 million in 2025, rising sharply to 32.5 million by 2045. This surge underscores the urgent demand for AI-enabled diagnostic solutions, particularly in oncology, where AI-powered imaging and pathology tools are proving highly effective in detecting early-stage tumors, accurately grading cancers, and supporting treatment selection. By enhancing diagnostic speed and precision, these tools help reduce errors and improve patient outcomes.

Beyond oncology, the increasing incidence of cardiovascular and metabolic disorders is accelerating AI adoption in diagnostics. Approximately 640 million people worldwide were living with heart and circulatory diseases, with around 67.5 million new cases reported annually. Similarly, an estimated 536.5 million adults had diabetes in recent years, a figure projected to rise to 643.5 million by 2030 and 783.5 million by 2045. Infectious diseases add further pressure: globally, 304 million people were living with hepatitis B and C, while nearly 39.5 million were living with HIV, including 1.5 million children. These statistics highlight the expanding role of AI in enabling earlier detection, real-time monitoring, and individualized disease management across multiple therapeutic areas.

The growing emphasis on precision diagnostics is also reflected in regulatory developments. In 2023, the U.S. FDA approved 16 new personalized therapies for rare disease patients, up from six approvals in 2022, with seven of these focused on oncology. AI complements this trend by analyzing genomic and clinical datasets, identifying disease risks, predicting therapy responses, and guiding the development of targeted treatment regimens.

Taken together, these trends and statistics underscore not only the rising global health burden but also the urgent need for scalable, intelligent healthcare solutions. As AI continues to integrate into diagnostics, its role in enhancing accuracy, accelerating clinical decision-making, and advancing personalized care will deepen. Consequently, the AI in Diagnostics market is poised for substantial expansion during the forecast period of 2025 to 2032, redefining the future of global healthcare delivery.

However, the growth of the global Artificial Intelligence (AI) in Diagnostics market, particularly in the Machine Learning and Oncology segments, faces notable restraints. Data privacy and security concerns remain a critical challenge, as AI systems rely on vast amounts of sensitive patient information, including medical images, genomic data, and electronic health records. Ensuring compliance with data protection regulations and safeguarding against breaches increases operational complexity and may slow adoption. Regulatory hurdles and the need for rigorous clinical validation further constrain growth. AI-driven diagnostic tools, especially those applied in oncology, must undergo extensive testing to demonstrate accuracy, reliability, and clinical utility, which can be time-consuming and costly. These challenges are compounded by the necessity for approval from multiple regulatory bodies across different regions, creating delays in product launches and market penetration. Collectively, concerns over data security and the stringent regulatory landscape limit the full potential of AI in diagnostics, despite its proven ability to enhance early detection, improve workflow efficiency, and support precision medicine initiatives in critical areas such as cancer care.

Artificial Intelligence (AI) in Diagnostics Market Segment Analysis

Artificial Intelligence (AI) in Diagnostics Market by Component (Hardware/Software and Services), Application (Infectious Disease Diagnostics, Radiology, Oncology, Cardiology, and Others), Technology (Machine Learning, Natural Language Processing, and Others), and Geography (North America, Europe, Asia-Pacific, and Rest of the World)

Artificial Intelligence (AI) in Diagnostics Market Regional Analysis

North America Artificial Intelligence (AI) in Diagnostics Market Trends

North America, led by the U.S., accounted for a dominant 51% share of the global artificial intelligence in diagnostics market in 2024. The North American artificial intelligence in diagnostics market is experiencing robust growth, driven by the increasing burden of chronic diseases such as cancer, lifestyle-related disorders like diabetes, and infectious conditions, including HIV. This growing disease prevalence, combined with a strong healthcare ecosystem, cutting-edge R&D in AI-driven diagnostics, and rapid regulatory approvals, is positioning the U.S. as a global hub for AI-enabled diagnostic innovations.

According to DelveInsight analysis (2025), the number of new cancer cases in the United States is projected to reach approximately 2,535,766 in 2025, with the national burden expected to rise significantly to around 3,380,124 cases by 2045. With such alarming figures, AI-based diagnostic technologies are increasingly being adopted to enhance early detection, improve accuracy, and personalize treatment strategies by leveraging genomic, imaging, and clinical data.

Infectious diseases are also fueling market demand. Further analysis reported that in 2024 that an estimated 31,800 new HIV infections occurred 2022 across the U.S., underscoring the critical need for advanced diagnostic platforms capable of enabling timely and precise identification.

AI solutions in diagnostics can significantly reduce turnaround times, identify subtle disease markers invisible to the human eye, and act as valuable decision-support tools for clinicians managing high patient volumes. The growing acceptance of such solutions reflects their potential to address major gaps in traditional diagnostic pathways.

Regulatory support further strengthens the market landscape. For instance, in February 2025, Ibex Medical Analytics received FDA 510(k) clearance for its Ibex Prostate Detect platform, an AI-based in vitro diagnostic tool that generates heat maps to detect early and rare forms of prostate cancer.

This approval highlights the FDA's increasing openness toward AI-powered innovations, encouraging further product development and commercialization in the U.S. diagnostic sector. Several leading players in the U.S. are actively shaping the AI in diagnostics space, leveraging their technological expertise and strong industry presence.

Companies such as IBM Watson Health, GE HealthCare, Microsoft (Azure AI for Healthcare), Google Health (DeepMind), and Siemens Healthineers (U.S. operations) are investing heavily in AI platforms that integrate imaging, pathology, and electronic health records to deliver faster and more reliable diagnostic insights.

Startups and specialized companies like PathAI, Freenome, and Tempus are also making significant strides, particularly in oncology diagnostics and precision medicine applications, while partnerships with healthcare providers and research institutes continue to accelerate AI adoption.

Hence, the convergence of rising disease prevalence, robust R&D pipelines, supportive regulatory frameworks, and active participation of global and domestic leaders is anticipated to drive substantial growth in the regional Artificial Intelligence in diagnostics market over the forecast period of 2025 to 2032.

Europe Artificial Intelligence (AI) in Diagnostics Market Trends

The Europe artificial intelligence in diagnostics market is experiencing steady growth, driven by advancements in AI technologies, increasing healthcare digitization, and strong regulatory and policy support across the region. The adoption of AI in medical imaging, pathology, cardiology, and oncology is improving diagnostic accuracy, workflow efficiency, and patient outcomes. Investments in smart hospitals, integrated healthcare IT systems, and AI-enabled diagnostic platforms are facilitating widespread implementation, while European governments and health authorities are promoting AI adoption through funding initiatives, pilot programs, and clear regulatory pathways for AI-based medical devices.

Several insights highlight key trends in the region. First, countries such as Germany, the United Kingdom, and France are leading AI adoption due to advanced healthcare infrastructure, high digital literacy, and favorable reimbursement mechanisms. Second, there is an increasing focus on collaborations between AI startups, established medical technology companies, and academic research institutions to develop clinically validated and regulatory-compliant solutions. Third, there is growing emphasis on explainable AI and ethical frameworks to ensure transparency, trust, and safety in clinical decision-making. Additionally, AI-powered predictive diagnostics, remote monitoring, and digital pathology are gaining traction, helping healthcare providers manage patient care more efficiently and reduce diagnostic delays.

Therefore, Europe is positioning itself as a key market for AI in diagnostics, with technological innovation, strategic partnerships, and supportive regulatory environments driving adoption and improving the quality and accessibility of healthcare services across the region.

Asia-Pacific Artificial Intelligence (AI) in Diagnostics Market Trends

The Asia-Pacific artificial intelligence in diagnostics market is witnessing robust growth, driven by rapid technological advancements, rising healthcare demands, and supportive government initiatives. Integration of AI technologies, such as machine learning and deep learning, is significantly enhancing the accuracy, speed, and efficiency of disease detection, particularly in medical imaging, pathology, and predictive diagnostics. Investment in healthcare infrastructure across the region is facilitating wider adoption of AI-driven diagnostic tools, helping to address the growing burden of chronic diseases and the challenges posed by an aging population. Government policies and incentives are further encouraging integration of AI technologies in clinical practice, promoting research and development, and supporting healthcare providers in deploying innovative diagnostic solutions.

Several insights also highlight the dynamics of the market. First, countries with advanced healthcare systems, such as Australia, Japan, and South Korea, are expected to lead adoption due to better infrastructure, higher digital literacy, and favorable reimbursement policies. Second, emerging economies like India, China, and Southeast Asian nations are rapidly expanding AI applications as they seek cost-effective solutions to improve diagnostic accuracy and reduce patient wait times. Third, the market is seeing a growing trend of collaborations between local hospitals, AI startups, and global technology companies to co-develop region-specific solutions tailored to population health needs. Lastly, AI-powered telemedicine and remote diagnostics are gaining traction, especially in rural and underserved areas, further extending healthcare accessibility.

Hence, the Asia-Pacific region is poised to become a global hub for AI in diagnostics, with innovation, policy support, and strategic partnerships driving both market expansion and improvements in clinical outcomes.

Who are the major players in the Artificial Intelligence (AI) in Diagnostics Market?

The following are the leading companies in the artificial intelligence in diagnostics market. These companies collectively hold the largest market share and dictate industry trends.

  • GE HealthCare
  • Aidoc
  • Qure.ai
  • Siemens Healthineers
  • PathAI
  • Ibex
  • Owkin, Inc
  • Imagen Technologies
  • Aiforia
  • RADLogics
  • Tecomet Inc.
  • Prenosis, Inc.
  • Riverain Technologies
  • Envisionit Deep AI (Pty) Ltd.
  • Deep Bio Inc., Inc.

How is the competitive landscape shaping the Artificial Intelligence (AI) in Diagnostics market?

The competitive landscape of the artificial intelligence in diagnostics market is evolving rapidly, driven by continuous technological advancements, strategic partnerships, and increasing investment in AI-enabled healthcare solutions. The market is moderately concentrated, with a mix of established medical technology firms, global tech giants, and innovative startups competing for leadership. Key players focus on developing more accurate, efficient, and user-friendly diagnostic platforms, often emphasizing deep learning algorithms, cloud-based solutions, and integration with existing hospital information systems. Companies are also forming collaborations with hospitals, research institutions, and technology partners to accelerate product development and clinical validation.

Startups and established firms alike are differentiating themselves through specialized applications in radiology, pathology, cardiology, and oncology diagnostics. The entry of large technology companies further intensifies competition, leading to shorter innovation cycles, more diverse product pipelines, and faster adoption of AI-driven diagnostics across clinical settings.

Hence, the moderately concentrated competitive landscape encourages technological innovation, strategic alliances, and clinical validation, ultimately enhancing diagnostic accuracy, efficiency, and accessibility for healthcare providers and patients.

Recent Developmental Activities in the Artificial Intelligence (AI) in Diagnostics Market

  • In April 2025, Roche announced that the U.S. Food and Drug Administration (FDA) had granted Breakthrough Device Designation to its VENTANA(R) TROP2 (EPR20043) RxDx Device. This represents the first time a computational pathology companion diagnostic (CDx) device has received a Breakthrough Device Designation.
  • In April 2025, Avant Technologies, Inc., along with its joint venture partner Ainnova Tech, Inc., announced that the U.S. Food and Drug Administration (FDA) is reviewing its pre-submission package for a meeting concerning Avant's VisionAI platform. The technology is designed to transform early disease detection through artificial intelligence.
  • In April 2025, Proprio announced that its Paradigm AI surgical guidance platform had received FDA 510(k) clearance to incorporate intraoperative measurements, allowing the first-ever real-time 3D, dynamic, and segmental visualization and measurement of anatomy during surgery.
  • In September 2024, Ibex Medical Analytics (Ibex), a leader in AI-powered cancer diagnostics, unveiled the latest enhancements to its Ibex-AI platform. Developed in collaboration with pathologists worldwide who use the platform in daily clinical practice, these new features underscore Ibex's commitment to delivering advanced diagnostic tools designed to support healthcare professionals at the forefront of patient care.

Artificial Intelligence (AI) in Diagnostics Market Segmentation

  • Artificial Intelligence (AI) in Diagnostics by Component Exposure
  • Hardware/Software
  • Services
  • Artificial Intelligence (AI) in Diagnostics Application Exposure
  • Infectious Disease Diagnostics
  • Radiology
  • Oncology
  • Cardiology
  • Others
  • Artificial Intelligence (AI) in Diagnostics Technology Exposure
  • Machine Learning
  • Natural Language Processing
  • Others
  • Artificial Intelligence (AI) in Diagnostics Geography Exposure
  • North America Artificial Intelligence (AI) in Diagnostics Market
  • United States Artificial Intelligence (AI) in Diagnostics Market
  • Canada Artificial Intelligence (AI) in Diagnostics Market
  • Mexico Artificial Intelligence (AI) in Diagnostics Market
  • Europe Artificial Intelligence (AI) in Diagnostics Market
  • United Kingdom Artificial Intelligence (AI) in Diagnostics Market
  • Germany Artificial Intelligence (AI) in Diagnostics Market
  • France Artificial Intelligence (AI) in Diagnostics Market
  • Italy Artificial Intelligence (AI) in Diagnostics Market
  • Spain Artificial Intelligence (AI) in Diagnostics Market
  • Rest of Europe Artificial Intelligence (AI) in Diagnostics Market
  • Asia-Pacific Artificial Intelligence (AI) in Diagnostics Market
  • China Artificial Intelligence (AI) in Diagnostics Market
  • Japan Artificial Intelligence (AI) in Diagnostics Market
  • India Artificial Intelligence (AI) in Diagnostics Market
  • Australia Artificial Intelligence (AI) in Diagnostics Market
  • South Korea Artificial Intelligence (AI) in Diagnostics Market
  • Rest of Asia-Pacific Artificial Intelligence (AI) in Diagnostics Market
  • Rest of the World Artificial Intelligence (AI) in Diagnostics Market
  • South America Artificial Intelligence (AI) in Diagnostics Market
  • Middle East Artificial Intelligence (AI) in Diagnostics Market
  • Africa Artificial Intelligence (AI) in Diagnostics Market

Impact Analysis

AI-Powered Innovations and Applications:

AI-powered innovations are transforming the diagnostics landscape by enhancing accuracy, speed, and accessibility in disease detection and management. Advanced algorithms analyze medical imaging, pathology slides, and genomic data with remarkable precision, often identifying abnormalities earlier than traditional methods. In radiology, AI tools assist in detecting tumors, fractures, and cardiovascular anomalies, significantly improving workflow efficiency and reducing diagnostic errors. Similarly, in pathology and oncology, AI platforms enable automated slide interpretation and tumor classification, supporting faster and more consistent clinical decisions.

Beyond imaging, AI applications are expanding into predictive diagnostics and personalized medicine. Machine learning models can forecast disease progression, identify at-risk patients, and tailor treatment strategies based on individual data profiles. Natural language processing is being used to extract valuable insights from electronic health records, helping clinicians make more informed decisions. AI-powered diagnostic chatbots and digital assistants are also improving patient engagement by offering preliminary assessments and guiding care pathways.

Therefore, AI-driven innovations are redefining diagnostics through automation, precision, and data integration. As algorithms continue to learn from larger and more diverse datasets, they are expected to become even more reliable and clinically interpretable, paving the way for truly personalized, data-driven healthcare delivery.

U.S. Tariff Impact Analysis on the Artificial Intelligence (AI) in Diagnostics Market:

U.S. tariffs have a notable impact on the artificial intelligence in diagnostics market by increasing costs and disrupting supply chains. Since AI diagnostic systems depend on imported components such as semiconductors, sensors, and computing hardware, tariffs on these inputs raise production and procurement costs, slowing adoption among healthcare providers. The added financial burden often leads to higher prices for diagnostic services and can delay new product launches or clinical implementations.

Tariffs also create uncertainty in global supply chains, forcing manufacturers to find alternative suppliers or relocate production, which adds further costs and delays. Smaller diagnostic firms are particularly affected due to limited financial flexibility. However, the market is adapting by emphasizing domestic sourcing, cloud-based AI platforms, and software-driven solutions that rely less on imported hardware. While tariffs may temporarily restrain growth, these adjustments are encouraging innovation and supply chain resilience, ultimately strengthening the long-term competitiveness of the U.S. AI diagnostics sector.

How This Analysis Helps Clients

  • Cost Management: By understanding the tariff landscape, clients can anticipate cost increases and adjust pricing strategies accordingly, ensuring profitability.
  • Supply Chain Optimization: Clients can identify alternative sourcing options and diversify their supply chains to reduce dependency on high-tariff regions, enhancing resilience.
  • Regulatory Navigation: Expert guidance on navigating the evolving regulatory environment helps clients maintain compliance and avoid potential legal challenges.
  • Strategic Planning: Insights into tariff impacts enable clients to make informed decisions about manufacturing locations, partnerships, and market entry strategies.

Key takeaways from the Artificial Intelligence (AI) in Diagnostics market report study

  • Market size analysis for the current artificial intelligence in diagnostics market size (2024), and market forecast for 8 years (2025 to 2032)
  • Top key product/technology developments, mergers, acquisitions, partnerships, and joint ventures happened over the last 3 years.
  • Key companies dominating the artificial intelligence in diagnostics market.
  • Various opportunities available for the other competitors in the artificial intelligence in diagnostics market space.
  • What are the top-performing segments in 2024? How these segments will perform in 2032?
  • Which are the top-performing regions and countries in the current artificial intelligence in diagnostics market scenario?
  • Which are the regions and countries where companies should have concentrated on opportunities for the artificial intelligence in diagnostics market growth in the future?

Frequently Asked Questions for the Artificial Intelligence (AI) in Diagnostics Market

1. What is the growth rate of artificial intelligence in diagnostics market?

  • The artificial intelligence in diagnostics market is estimated to grow at a CAGR of 22.31% during the forecast period from 2025 to 2032.

2. What is the market for artificial intelligence in diagnostics?

  • The artificial intelligence in diagnostics market was valued at USD 1,623.20 million in 2024, and is expected to reach USD 8,081.97 million by 2032.

3. Which region has the highest share in the artificial intelligence in diagnostics market?

  • North America is expected to remain a dominant force in the artificial intelligence in diagnostics market. This is driven by the increasing burden of chronic diseases such as cancer, lifestyle-related disorders like diabetes, and infectious conditions, including HIV. This growing disease prevalence, combined with a strong healthcare ecosystem, cutting-edge R&D in AI-driven diagnostics, and rapid regulatory approvals, is positioning the U.S. as a global hub for AI-enabled diagnostic innovations.

4. What are the drivers for the artificial intelligence in diagnostics market?

  • The global artificial intelligence in diagnostics market is witnessing rapid growth, driven by the rising prevalence of chronic, genetic, and infectious diseases. AI technologies facilitate early detection, precise diagnosis, and personalized treatment by analyzing complex medical data and identifying subtle patterns. This growth is further strengthened by increased research and development, strategic collaborations, and continuous product innovation by key market players, accelerating clinical adoption across healthcare settings.

5. Who are the key players operating in the artificial intelligence in diagnostics market?

  • Some of the key market players operating in the artificial intelligence in diagnostics market include GE HealthCare, Aidoc, Qure.ai, Siemens Healthineers, PathAI, Ibex, Owkin, Inc., Imagen Technologies, Aiforia, RADLogics, Tecomet Inc., Prenosis, Inc., Riverain Technologies, Envisionit Deep AI (Pty) Ltd., Deep Bio Inc., Inc., and Others.

Table of Contents

1. Artificial Intelligence (AI) in Diagnostics Market Report Introduction

  • 1.1 Scope of the Study
  • 1.2 Market Segmentation
  • 1.3 Market Assumption

2. Artificial Intelligence (AI) in Diagnostics Market Executive Summary

  • 2.1 Market at Glance

3. Artificial Intelligence (AI) in Diagnostics Market Key Factors Analysis

  • 3.1 Artificial Intelligence (AI) in Diagnostics Market Drivers
    • 3.1.1 The rising cases of chronic & genetic diseases
    • 3.1.2 Growing focus on research and development initiatives and the formation of strategic partnerships
    • 3.1.3 Increase in product development activities among the key market players
  • 3.2 Artificial Intelligence (AI) in Diagnostics Market Restraints and Challenges
    • 3.2.1 Data privacy and security concerns
    • 3.2.2 Regulatory hurdles and clinical validation issues
  • 3.3 Artificial Intelligence (AI) in Diagnostics Market Opportunity
    • 3.3.1 Increasing role of predictive analytics in advancing Artificial Intelligence (AI) healthcare

4. Impact Analysis

  • 4.1 AI-Powered Innovations and Applications
  • 4.2 U.S. Tariff Impact Analysis

5. Regulatory Analysis

  • 5.1 The United States
  • 5.2 Europe
  • 5.3 Japan
  • 5.4 China

6. Artificial Intelligence (AI) in Diagnostics Market Porter's Five Forces Analysis

  • 6.1 Bargaining Power of Suppliers
  • 6.2 Bargaining Power of Consumers
  • 6.3 Threat of New Entrants
  • 6.4 Threat of Substitutes
  • 6.5 Competitive Rivalry

7. Artificial Intelligence (AI) in Diagnostics Market Assessment

  • 7.1 By Component
    • 7.1.1 Hardware/Software
    • 7.1.2 Services
  • 7.2 By Application
    • 7.2.1 Infectious Disease Diagnostics
    • 7.2.2 Radiology
    • 7.2.3 Oncology
    • 7.2.4 Cardiology
    • 7.2.5 Others
  • 7.3 By Technology
    • 7.3.1 Machine Learning
    • 7.3.2 Natural Language Processing
    • 7.3.3 Others
  • 7.4 By Geography
    • 7.4.1 North America
      • 7.4.1.1 United States Artificial Intelligence (AI) in Diagnostics Market Size in USD million (2022-2032)
      • 7.4.1.2 Canada Artificial Intelligence (AI) in Diagnostics Market Size in USD million (2022-2032)
      • 7.4.1.3 Mexico Artificial Intelligence (AI) in Diagnostics Market Size in USD million (2022-2032)
    • 7.4.2 Europe
      • 7.4.2.1 France Artificial Intelligence (AI) in Diagnostics Market Size in USD million (2022-2032)
      • 7.4.2.2 Germany Artificial Intelligence (AI) in Diagnostics Market Size in USD million (2022-2032)
      • 7.4.2.3 United Kingdom Artificial Intelligence (AI) in Diagnostics Market Size in USD million (2022-2032)
      • 7.4.2.4 Italy Artificial Intelligence (AI) in Diagnostics Market Size in USD million (2022-2032)
      • 7.4.2.5 Spain Artificial Intelligence (AI) in Diagnostics Market Size in USD million (2022-2032)
      • 7.4.2.6 Rest of Europe Artificial Intelligence (AI) in Diagnostics Market Size in USD million (2022-2032)
    • 7.4.3 Asia-Pacific
      • 7.4.3.1 China Artificial Intelligence (AI) in Diagnostics Market Size in USD million (2022-2032)
      • 7.4.3.2 Japan Artificial Intelligence (AI) in Diagnostics Market Size in USD million (2022-2032)
      • 7.4.3.3 India Artificial Intelligence (AI) in Diagnostics Market Size in USD million (2022-2032)
      • 7.4.3.4 Australia Artificial Intelligence (AI) in Diagnostics Market Size in USD million (2022-2032)
      • 7.4.3.5 South Korea Artificial Intelligence (AI) in Diagnostics Market Size in USD million (2022-2032)
      • 7.4.3.6 Rest of Asia-Pacific Artificial Intelligence (AI) in Diagnostics Market Size in USD million (2022-2032)
    • 7.4.4 Rest of the World (RoW)
      • 7.4.4.1 Middle East Artificial Intelligence (AI) in Diagnostics Market Size in USD million (2022-2032)
      • 7.4.4.2 Africa Artificial Intelligence (AI) in Diagnostics Market Size in USD million (2022-2032)
      • 7.4.4.3 South America Artificial Intelligence (AI) in Diagnostics Market Size In USD Million (2022-2032)

8. Competitive Landscape

9. Startup Funding & Investment Trends

10. Artificial Intelligence (AI) in Diagnostics Market Company and Product Profiles

  • 10.1 GE HealthCare
    • 10.1.1 Company Overview
    • 10.1.2 Company Snapshot
    • 10.1.3 Financial Overview
    • 10.1.4 Product Listing
    • 10.1.5 Entropy
  • 10.2 Aidoc
    • 10.2.1 Company Overview
    • 10.2.2 Company Snapshot
    • 10.2.3 Financial Overview
    • 10.2.4 Product Listing
    • 10.2.5 Entropy
  • 10.3 Qure.ai
    • 10.3.1 Company Overview
    • 10.3.2 Company Snapshot
    • 10.3.3 Financial Overview
    • 10.3.4 Product Listing
    • 10.3.5 Entropy
  • 10.4 Siemens Healthineers
    • 10.4.1 Company Overview
    • 10.4.2 Company Snapshot
    • 10.4.3 Financial Overview
    • 10.4.4 Product Listing
    • 10.4.5 Entropy
  • 10.5 PathAI
    • 10.5.1 Company Overview
    • 10.5.2 Company Snapshot
    • 10.5.3 Financial Overview
    • 10.5.4 Product Listing
    • 10.5.5 Entropy
  • 10.6 Ibex
    • 10.6.1 Company Overview
    • 10.6.2 Company Snapshot
    • 10.6.3 Financial Overview
    • 10.6.4 Product Listing
    • 10.6.5 Entropy
  • 10.7 Owkin, Inc
    • 10.7.1 Company Overview
    • 10.7.2 Company Snapshot
    • 10.7.3 Financial Overview
    • 10.7.4 Product Listing
    • 10.7.5 Entropy
  • 10.8 Imagen Technologies
    • 10.8.1 Company Overview
    • 10.8.2 Company Snapshot
    • 10.8.3 Financial Overview
    • 10.8.4 Product Listing
    • 10.8.5 Entropy
  • 10.9 Aiforia
    • 10.9.1 Company Overview
    • 10.9.2 Company Snapshot
    • 10.9.3 Financial Overview
    • 10.9.4 Product Listing
    • 10.9.5 Entropy
  • 10.10 RADLogics
    • 10.10.1 Company Overview
    • 10.10.2 Company Snapshot
    • 10.10.3 Financial Overview
    • 10.10.4 Product Listing
    • 10.10.5 Entropy
  • 10.11 Tecomet Inc.
    • 10.11.1 Company Overview
    • 10.11.2 Company Snapshot
    • 10.11.3 Financial Overview
    • 10.11.4 Product Listing
    • 10.11.5 Entropy
  • 10.12 Prenosis, Inc.
    • 10.12.1 Company Overview
    • 10.12.2 Company Snapshot
    • 10.12.3 Financial Overview
    • 10.12.4 Product Listing
    • 10.12.5 Entropy
  • 10.13 Riverain Technologies
    • 10.13.1 Company Overview
    • 10.13.2 Company Snapshot
    • 10.13.3 Financial Overview
    • 10.13.4 Product Listing
    • 10.13.5 Entropy
  • 10.14 Envisionit Deep AI (Pty) Ltd.
    • 10.14.1 Company Overview
    • 10.14.2 Company Snapshot
    • 10.14.3 Financial Overview
    • 10.14.4 Product Listing
    • 10.14.5 Entropy
  • 10.15 Deep Bio Inc.
    • 10.15.1 Company Overview
    • 10.15.2 Company Snapshot
    • 10.15.3 Financial Overview
    • 10.15.4 Product Listing
    • 10.15.5 Entropy

11. KOL Views

12. Project Approach

13. About DelveInsight

14. Disclaimer & Contact Us

List of Tables

  • Table 1: Artificial Intelligence (AI) in Diagnostics Market in Global (2022-2032)
  • Table 2: Artificial Intelligence (AI) in Diagnostics Market in Global by Component (2022-2032)
  • Table 3: Artificial Intelligence (AI) in Diagnostics Market in Global by Application (2022-2032)
  • Table 4: Artificial Intelligence (AI) in Diagnostics Market in Global by Technology (2022-2032)
  • Table 5: Artificial Intelligence (AI) in Diagnostics Market in Global by Geography (2022-2032)
  • Table 6: Artificial Intelligence (AI) in Diagnostics Market in North America (2022-2032)
  • Table 7: Artificial Intelligence (AI) in Diagnostics Market in the United States (2022-2032)
  • Table 8: Artificial Intelligence (AI) in Diagnostics Market in Canada (2022-2032)
  • Table 9: Artificial Intelligence (AI) in Diagnostics Market in Mexico (2022-2032)
  • Table 10: Artificial Intelligence (AI) in Diagnostics Market in Europe (2022-2032)
  • Table 11: Artificial Intelligence (AI) in Diagnostics Market in France (2022-2032)
  • Table 12: Artificial Intelligence (AI) in Diagnostics Market in Germany (2022-2032)
  • Table 13: Artificial Intelligence (AI) in Diagnostics Market in United Kingdom (2022-2032)
  • Table 14: Artificial Intelligence (AI) in Diagnostics Market in Italy (2022-2032)
  • Table 15: Artificial Intelligence (AI) in Diagnostics Market in Spain (2022-2032)
  • Table 16: Artificial Intelligence (AI) in Diagnostics Market in the Rest of Europe (2022-2032)
  • Table 17: Artificial Intelligence (AI) in Diagnostics Market in Asia-Pacific (2022-2032)
  • Table 18: Artificial Intelligence (AI) in Diagnostics Market in China (2022-2032)
  • Table 19: Artificial Intelligence (AI) in Diagnostics Market in Japan (2022-2032)
  • Table 20: Artificial Intelligence (AI) in Diagnostics Market in India (2022-2032)
  • Table 21: Artificial Intelligence (AI) in Diagnostics Market in Australia (2022-2032)
  • Table 22: Artificial Intelligence (AI) in Diagnostics Market in South Korea (2022-2032)
  • Table 23: Artificial Intelligence (AI) in Diagnostics Market in Rest of Asia-Pacific (2022-2032)
  • Table 24: Artificial Intelligence (AI) in Diagnostics Market in the Rest of the World (2022-2032)
  • Table 25: Artificial Intelligence (AI) in Diagnostics Market in the Middle East (2022-2032)
  • Table 26: Artificial Intelligence (AI) in Diagnostics Market in Africa (2022-2032)
  • Table 27: Artificial Intelligence (AI) in Diagnostics Market in South America (2022-2032)
  • Table 28: Competitive Landscape
  • Table 29: Startup Funding & Investment Trends

List of Figures

  • Table 1: Artificial Intelligence (AI) in Diagnostics Market Drivers
  • Table 2: Artificial Intelligence (AI) in Diagnostics Market Restraints
  • Table 3: Artificial Intelligence (AI) in Diagnostics Market Opportunities
  • Table 4: AI-Powered Innovations in Artificial Intelligence (AI) in Diagnostics Market
  • Table 5: US Tariff Impact on Artificial Intelligence (AI) in Diagnostics Market
  • Table 6: Regulatory Analysis (US, EU, Japan, China)
  • Table 7: Porter's Five Forces Analysis
  • Table 8: Competitive Analysis
  • Table 9: Artificial Intelligence (AI) in Diagnostics Market in Global (2022-2032)
  • Table 10: Artificial Intelligence (AI) in Diagnostics Market in Global by Component (2022-2032)
  • Table 11: Artificial Intelligence (AI) in Diagnostics Market in Global by Application (2022-2032)
  • Table 12: Artificial Intelligence (AI) in Diagnostics Market in Global by Technology (2022-2032)
  • Table 13: Artificial Intelligence (AI) in Diagnostics Market in Global by Geography (2022-2032)
  • Table 14: Artificial Intelligence (AI) in Diagnostics Market in North America (2022-2032)
  • Table 15: Artificial Intelligence (AI) in Diagnostics Market in the United States (2022-2032)
  • Table 16: Artificial Intelligence (AI) in Diagnostics Market in Canada (2022-2032)
  • Table 17: Artificial Intelligence (AI) in Diagnostics Market in Mexico (2022-2032)
  • Table 18: Artificial Intelligence (AI) in Diagnostics Market in Europe (2022-2032)
  • Table 19: Artificial Intelligence (AI) in Diagnostics Market in France (2022-2032)
  • Table 20: Artificial Intelligence (AI) in Diagnostics Market in Germany (2022-2032)
  • Table 21: Artificial Intelligence (AI) in Diagnostics Market in United Kingdom (2022-2032)
  • Table 22: Artificial Intelligence (AI) in Diagnostics Market in Italy (2022-2032)
  • Table 23: Artificial Intelligence (AI) in Diagnostics Market in Spain (2022-2032)
  • Table 24: Artificial Intelligence (AI) in Diagnostics Market in the Rest of Europe (2022-2032)
  • Table 25: Artificial Intelligence (AI) in Diagnostics Market in Asia-Pacific (2022-2032)
  • Table 26: Artificial Intelligence (AI) in Diagnostics Market in China (2022-2032)
  • Table 27: Artificial Intelligence (AI) in Diagnostics Market in Japan (2022-2032)
  • Table 28: Artificial Intelligence (AI) in Diagnostics Market in India (2022-2032)
  • Table 29: Artificial Intelligence (AI) in Diagnostics Market in Australia (2022-2032)
  • Table 30: Artificial Intelligence (AI) in Diagnostics Market in South Korea (2022-2032)
  • Table 31: Artificial Intelligence (AI) in Diagnostics Market in Rest of Asia-Pacific (2022-2032)
  • Table 32: Artificial Intelligence (AI) in Diagnostics Market in the Rest of the World (2022-2032)
  • Table 33: Artificial Intelligence (AI) in Diagnostics Market in the Middle East (2022-2032)
  • Table 34: Artificial Intelligence (AI) in Diagnostics Market in Africa (2022-2032)
  • Table 35: Artificial Intelligence (AI) in Diagnostics Market in South America (2022-2032)
  • Table 36: Competitive Landscape
  • Table 37: Startup Funding & Investment Trends