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세계의 의료 진단 분야 AI 시장 : 구성요소 유형별, 진단 유형별, 용도별, 기술별, 최종 사용자별, 지역별, 기회 및 예측, 2016-2030년

AI in Medical Diagnostics Market Assessment, By Component Type, By Diagnosis Type, By Application, By Technology, By End User, By Region, Opportunities and Forecast, 2016-2030F

발행일: | 리서치사: Market Xcel - Markets and Data | 페이지 정보: 영문 406 Pages | 배송안내 : 3-5일 (영업일 기준)


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세계 의료 진단 분야 AI 시장 규모는 2024-2031년의 예측 기간 동안 26.40%의 연평균 복합 성장률(CAGR)로 2023년 16억 4,202만 달러에서 2031년 106억 5,792만 달러로 성장할 것으로 예상됩니다. 이 시장은 최근 몇 년동안 괄목할 만한 성장세를 보이고 있으며, 앞으로도 강력한 성장세를 유지할 것으로 예상됩니다.

인공지능은 현재와 미래의 의료 진단에 큰 기대를 모으고 있습니다. 현재 AI 기반 진단 기술은 의료 전문가가 엑스레이, MRI, CT 스캔과 같은 의료 이미지를 해독하는 데 도움을 주어 더 빠르고 정확한 진단을 할 수 있도록 돕고 있습니다. AI 알고리즘은 예측 진단을 위해 환자의 정보, 증상 및 의학적 배경을 조사하여 예측 진단을 내릴 수 있습니다. 의료 진단 분야에서 AI의 응용은 이 분야의 발전과 함께 확대될 것으로 예상됩니다.

의료 진단 분야 AI 시장 성장은 그래픽 카드 및 GPU 기술의 발전으로 인해 의료 진단 시장의 성장이 주도하고 있으며, 기기를 통해 생성된 진단 데이터의 높은 처리량 분석을 가능하게 하고, AI 기반 진단 솔루션을 개발하는 스타트업에 대한 투자자들의 관심이 높아지면서 시장 규모가 크게 확대되고 있습니다. 시장의 큰 폭의 확장을 견인하고 있습니다. 개인 맞춤형 의료, 정밀 진단 트렌드, 질병 부담 증가로 인해 더 나은 임상 결과를 얻기 위해 진단에 AI를 통합하는 것이 요구되고 있습니다. 또한, 헬스케어 분야의 기술 강화를 위한 정부의 이니셔티브는 지속적인 시장 확대 추세를 뒷받침하고 있습니다.

세계 질병 부담 증가는 임상 결과의 오류를 줄이고 의료진의 부담을 줄이기 위해 기술 기반 진단에 대한 수요를 크게 증가시켜 AI 기반 진단 솔루션에 대한 수요를 더욱 촉진하고 있습니다. 최근 투자자들은 AI 기반 스타트업에 깊은 관심을 보이고 있으며, 이는 인프라 개발 및 시장 확대의 여지를 넓히고 있습니다. 제조업체들은 혁신적인 솔루션을 내놓고 시장에서 가치를 창출하기 위해 노력하고 있습니다.

이 보고서는 세계의 의료 진단 분야 AI 시장을 조사했으며, 시장 개요와 함께 구성요소별/진단 유형별/용도별/기술별/최종사용자별/지역별 동향, 시장 진출기업 프로파일 등의 정보를 제공합니다.

목차

제1장 조사 방법

제2장 프로젝트의 범위와 정의

제3장 주요 요약

제4장 세계의 의료 진단 분야 AI 시장 전망, 2017년-2031년

  • 시장 규모와 예측
  • 컴포넌트 유형별
  • 진단 유형별
  • 용도별
  • 기술별
  • 최종사용자별
  • 지역별
  • 기업별 시장 점유율(%), 2023년

제5장 세계의 의료 진단 분야 AI 시장 전망, 지역별, 2017년-2031년

  • 북미
  • 유럽
  • 아시아태평양
  • 남미
  • 중동 및 아프리카

제6장 시장 매핑, 2023년

제7장 거시환경과 산업 구조

  • 수급 분석
  • 수출입 분석
  • 밸류체인 분석
  • PESTEL 분석
  • Porter의 Five Forces 분석

제8장 시장 역학

제9장 규제 프레임워크와 혁신

제10장 주요 시장 진출기업 상황

제11장 가격 분석

제12장 사례 연구

제13장 주요 기업 전망

  • Alphabet Inc.
  • NVIDIA Corporation
  • International Business Machines Corporation(IBM)
  • Siemens Healthineers AG
  • Microsoft Corporation
  • Koninklijke Philips N.V.
  • GE HealthCare Technologies Inc
  • Canon Medical Systems Corporation
  • PathAI, Inc.
  • Fujifilm Holdings Corporation
  • InformAI Inc.
  • Aidoc Medical Ltd.
  • Nano-X Imaging Ltd
  • Riverain Technologies

제14장 전략적 제안

제15장 문의와 면책사항

LSH 24.02.21

Global AI in medical diagnostics market is projected to witness a CAGR of 26.40% during the forecast period 2024-2031, growing from USD 1,642.02 million in 2023 to USD 10,657.92 million in 2031. The market has experienced significant growth in recent years and is expected to maintain a strong pace of expansion in the coming years.

Artificial intelligence has made significant promises for the present and future medical diagnosis. Presently, AI-based diagnostic technologies help healthcare professionals decipher medical images like X-rays, MRI, and CT scans, resulting in rapid and more precise diagnoses. To make a predictive diagnosis, AI algorithms can examine patient information, symptoms, and medical background. The application of AI in medical diagnosis is anticipated to grow as the field develops.

AI in medical diagnostics market growth is governed by advancements in graphic card and GPU technologies, enabling the high throughput analysis of diagnosis data generated through equipment. The growing interest of investors in startups developing AI-based diagnostic solutions drives significant expansion in the market. The trend of personalized medicine, precision diagnostics, and the growing disease burden demands AI integration in diagnostics for better clinical outcomes. Furthermore, government initiatives to enhance technologies in the healthcare sector sustain a tendency for continuous market expansion.

The increasing global disease burden has significantly raised the demand for technology-driven diagnostics to lower the errors in clinical outcomes and reduce the burden on healthcare professionals, further driving the demand for AI-based diagnostic solutions. Investors have shown deep interest in AI-based startups in recent years which drives infrastructural development and enhanced scope for market expansion. Manufacturers are coming up with innovative solutions to establish their worth in the market.

For example, in January 2024, Google DeepMind Research unveiled AMIE (Articulate Medical Intelligence Explorer), a research AI system for diagnostic medical reasoning and conversations based on a large language model (LLM). Its purpose is to obtain the patient's medical history and discuss potential diagnoses with a physician. To create AMIE, several real-world datasets were employed.

Rising Prevalence of Chronic Diseases

Globally, as the geriatric population is increasing, the vulnerability towards chronic diseases such as cardiovascular diseases, cancer, diabetes, and respiratory illnesses is increasing, leading to higher demand for medical diagnostics. Sedentary lifestyle, unhealthy diet, tobacco use, and alcohol abuse are the leading risk factors for the rising chronic diseases in developing as well as developed countries. To combat these diseases, accurate diagnosis and early detection, along with timely intervention play a crucial role. AI in medical diagnostics assists in analyzing large datasets, assisting in image interpretation, and supporting pattern recognition. AI in medical diagnostics improves the efficiency, accuracy, and speed of diagnosing various complex medical conditions and contributes to promoting a person's overall health outcomes.

According to WHO 2023 report, chronic diseases are responsible for 41 million deaths every year worldwide. Out of which, 77% of deaths are in low-and middle-income countries. Cardiovascular diseases are the leading cause of death, accounting for 17.9 million deaths annually, followed by cancer, which accounts for 9.3 million deaths. Moreover, chronic respiratory diseases and diabetes account for around 4.1 million deaths and 2 million deaths.

Growing Investments in AI-based Medical Diagnostics

With the growing demand for AI-based healthcare solutions such as AI-based medical diagnostics tools and appliances, both public and private companies are significantly investing in AI-based medical diagnostics, due to rapid analysis and high efficiency in accurate diagnosis of diseases. Publicly traded companies including tech giants, such as Google, Microsoft, and IBM are leveraging their financial strength, technological expertise, and are allocating significant resources like AI-based software and hardware to develop AI-driven diagnostic tools. Also, numerous private organizations and startups, funded by the government and other key market players, are focusing on advancing AI technology for medical diagnostics to improve health outcomes. The trend reflects the growing recognition of AI's potential to revolutionize diagnostics and improve efficiency in identifying complex medical conditions.

For instance, in August 2023, VitruvianMD, a pioneering medtech startup, raised an impressive USD 1.25 million in a seed extension II funding round. The funding was provided by 27four's social impact venture capital fund, The Nebula Fund which marks a significant milestone for VitruvianMD and is expected to help in its expansion. VitruvianMD is a provider of cutting-edge diagnostic solutions by integrating biomedical engineering with advanced artificial intelligence (AI).

Government Initiatives and Key Player Focus Acting as Catalyst

The US FDA regulates artificial intelligence and machine learning-based healthcare products as medical devices and covers them as 'Software as a Medical Device (SaMD) in the United States. SaMD is software intended to be used for one or more medical purposes that perform purposes without being part of a hardware medical device. Regulatory bodies of all major countries are on their way to formulating regulations for analyzing the risks and benefits of using AI in medical diagnostics. Such government regulations and emphasis on building healthy ecosystems for AI-based diagnostics providers is anticipated to contribute for market expansion.

For instance, in June 2023, the National Health Service (NHS) under the United Kingdom government awarded an AI diagnostic fund of GBP 21 million to integrate AI imaging and decision support tools used for rapid diagnosis of conditions such as cancers, strokes, and heart conditions. These government initiatives are providing a great boost to the global AI in medical diagnostics market.

Dominance of Software Segment

The software segment dominated the global AI in medical diagnostics market in 2023, with a market share of 50.58% and is expected to continue its dominance during the forecast period, reaching 50.89% of the market in 2031. Artificial intelligence is majorly software-based solution that can process data at a faster pace without error. AI-based software component is added to diagnostic equipment like CT-scan machines, MRI machines, and others to perform high-speed data processing and analysis, due to which the software component holds a major share in the AI in medical diagnostics market. Market players are contributing to the dominance of software segment through strategic solutions.

For instance, in January 2023, Viz.ai announced the launch of artificial intelligence (AI)-enabled Viz Vascular Suite which is reported to allow automated detection of vascular conditions, shown through computed tomography (CT), ECG, and other imaging techniques, further facilitating timely collaboration among interdisciplinary teams.

Diagnostic Imaging to Dominate the Market

The diagnostic imaging segment dominated the global AI in medical diagnostics market with nearly half of the market share in 2023, which is expected to increase further by 2031. The segment dominates due to increasing demand for AI-powered and cloud-based solutions, which provide more diagnostic precision when evaluating medical images of a patient. AI algorithms are better designed to analyze image data generated by diagnostic imaging equipment, like MRI and CT scans, thus the role of AI integration is relatively higher in imaging, although AI-based solutions for in-vitro diagnostics are expanding with time. Market players are designing solutions for enhancing diagnostic imaging, further strengthening the dominance of the diagnostic imaging segment in the market.

For instance, in September 2023, Abbott launched Ultreon 1.0, which is a coronary imaging software in India. The software combines optical coherence tomography (OCT) with artificial intelligence (AI), allowing healthcare professionals to observe blood flow and blockages in the cardiovascular system. The software is capable of differentiating calcified and non-calcified blockages, the severity of blockage, and evaluating vessel diameter.

Asia-Pacific Grows with the Highest CAGR

Asia-Pacific AI in medical diagnostics market is expected to be the fastest-growing region by 2031, registering a robust CAGR during the forecast period. The expected growth can be attributed to the rising investment in the healthcare and medical diagnostics sector. The growth of health ecosystems in Asia-Pacific, led by both hospitals and digital solution providers, is fostering cross-industry partnerships and collaborations that are driving the growth of AI in medical diagnostics. Along with it, the growing investors' traction toward AI-based diagnostic solution providers is helping in further market expansion.

Future Market Scenario

Growing prevalence of chronic diseases such as cancer, Alzheimer disease and others is raising the demand for technology-driven diagnosis and predictive analysis, further driving the growth in the AI in medical diagnostics market.

The recently observed growth in investment trends for AI-based diagnostic solution developers has significantly contributed to the drastic growth of AI in medical diagnostics market.

The software segment is the leading segment in the AI in medical diagnostics market owing to the widespread integration of AI in diagnostic equipment through innovative software.

Government initiatives to strengthen healthcare and inculcate technology-driven diagnostic approaches have significantly expanded the market.

Key Players Landscape and Outlook

The AI in medical diagnostics market comprises several local players and emerging startups that are coming with lots of pipeline products with drastic scope for development in the future. Investment from venture capital firms and leading players are fostering the landscape of the market.

In February 2023, GE Healthcare announced the acquisition of Caption Health to expand its multibillion-dollar ultrasound portfolio. The major focus of the deal is on Caption Health's AI software which helps healthcare workers through the process of securing clear images from cardiac ultrasound exams.

In June 2023, Genomenon announced that it acquired the genomics interpretation and curation firm Boston Genetics. Genomenon aims to curate the human genome by combining its artificial intelligence-enabled genomic platform and expertise with insights from Boston Genetics' team of genetic scientists.

In October 2023, Philips announced a collaboration with imaging biomarker specialist Quibim on AI-based imaging and reporting solutions for MR prostate exams. Philips' AI-enabled MRI and Quibim's AI-enabled image analysis software aims to help clinicians deliver faster, easier prostate cancer care, mitigate staff shortages, and lower the cost of care.

Table of Contents

1. Research Methodology

2. Project Scope & Definitions

3. Executive Summary

4. Global AI in Medical Diagnostics Market Outlook, 2017-2031F

  • 4.1. Market Size & Forecast
    • 4.1.1. By Value
  • 4.2. By Component Type
    • 4.2.1. Software
    • 4.2.2. Services
    • 4.2.3. Hardware
  • 4.3. By Diagnosis Type
    • 4.3.1. Diagnostic Imaging
    • 4.3.2. In-vitro Diagnostics
    • 4.3.3. Others
  • 4.4. By Application
    • 4.4.1. Oncology
    • 4.4.2. Neurology
    • 4.4.3. Cardiology
    • 4.4.4. Radiology
    • 4.4.5. Pulmonology
    • 4.4.6. Obstetrics/Gynecology
    • 4.4.7. Others
  • 4.5. By Technology
    • 4.5.1. Natural Language Processing
    • 4.5.2. Machine Learning
    • 4.5.3. Context-Aware Computing
    • 4.5.4. Computer Vision
  • 4.6. By End-user
    • 4.6.1. Hospitals
    • 4.6.2. Diagnostic Imaging Centers
    • 4.6.3. Diagnostic Laboratories
    • 4.6.4. Others
  • 4.7. By Region
    • 4.7.1. North America
    • 4.7.2. Europe
    • 4.7.3. Asia-Pacific
    • 4.7.4. South America
    • 4.7.5. Middle East and Africa
  • 4.8. By Company Market Share (%), 2023

5. Global AI in Medical Diagnostics Market Outlook, By Region, 2017-2031F

  • 5.1. North America*
    • 5.1.1. Market Size & Forecast
      • 5.1.1.1. By Value
    • 5.1.2. By Component Type
      • 5.1.2.1. Software
      • 5.1.2.2. Services
      • 5.1.2.3. Hardware
    • 5.1.3. By Diagnosis Type
      • 5.1.3.1. Diagnostic Imaging
      • 5.1.3.2. In-vitro Diagnostics
      • 5.1.3.3. Others
    • 5.1.4. By Application
      • 5.1.4.1. Oncology
      • 5.1.4.2. Neurology
      • 5.1.4.3. Cardiology
      • 5.1.4.4. Radiology
      • 5.1.4.5. Pulmonology
      • 5.1.4.6. Obstetrics/Gynecology
      • 5.1.4.7. Others
    • 5.1.5. By Technology
      • 5.1.5.1. Natural Language Processing
      • 5.1.5.2. Machine Learning
      • 5.1.5.3. Context-Aware Computing
      • 5.1.5.4. Computer Vision
    • 5.1.6. By End-user
      • 5.1.6.1. Hospitals
      • 5.1.6.2. Diagnostic Imaging Centers
      • 5.1.6.3. Diagnostic Laboratories
      • 5.1.6.4. Others
    • 5.1.7. United States*
      • 5.1.7.1. Market Size & Forecast
      • 5.1.7.1.1. By Value
      • 5.1.7.2. By Component Type
      • 5.1.7.2.1. Software
      • 5.1.7.2.2. Services
      • 5.1.7.2.3. Hardware
      • 5.1.7.3. By Diagnosis Type
      • 5.1.7.3.1. Diagnostic Imaging
      • 5.1.7.3.2. In-vitro Diagnostics
      • 5.1.7.3.3. Others
      • 5.1.7.4. By Application
      • 5.1.7.4.1. Oncology
      • 5.1.7.4.2. Neurology
      • 5.1.7.4.3. Cardiology
      • 5.1.7.4.4. Radiology
      • 5.1.7.4.5. Pulmonology
      • 5.1.7.4.6. Obstetrics/Gynecology
      • 5.1.7.4.7. Others
      • 5.1.7.5. By Technology
      • 5.1.7.5.1. Natural Language Processing
      • 5.1.7.5.2. Machine Learning
      • 5.1.7.5.3. Context-Aware Computing
      • 5.1.7.5.4. Computer Vision
      • 5.1.7.6. By End-user
      • 5.1.7.6.1. Hospitals
      • 5.1.7.6.2. Diagnostic Imaging Centers
      • 5.1.7.6.3. Diagnostic Laboratories
      • 5.1.7.6.4. Others
    • 5.1.8. Canada
    • 5.1.9. Mexico

All segments will be provided for all regions and countries covered

  • 5.2. Europe
    • 5.1.8. Germany
    • 5.1.9. France
    • 5.1.10. United Kingdom
    • 5.1.11. Italy
    • 5.1.12. Spain
    • 5.1.13. Turkey
    • 5.1.14. Russia
    • 5.1.15. Netherlands
    • 5.1.16. Poland
  • 5.2. Asia-Pacific
    • 5.2.8. China
    • 5.2.9. India
    • 5.2.10. Japan
    • 5.2.11. South Korea
    • 5.2.12. Australia
    • 5.2.13. Vietnam
    • 5.2.14. Indonesia
    • 5.2.15. Philippines
  • 5.3. South America
    • 5.3.8. Brazil
    • 5.3.9. Argentina
  • 5.4. Middle East & Africa
    • 5.4.8. Saudi Arabia
    • 5.4.9. UAE
    • 5.4.10. South Africa

6. Market Mapping, 2023

  • 6.1. By Component Type
  • 6.2. By Diagnosis Type
  • 6.3. By Diagnostic Imaging Sub-Segment
  • 6.4. By Application
  • 6.5. By Technology
  • 6.6. By End-user
  • 6.7. By Region

7. Macro Environment and Industry Structure

  • 7.1. Demand Supply Analysis
  • 7.2. Import Export Analysis
  • 7.3. Value Chain Analysis
  • 7.4. PESTEL Analysis
    • 7.4.8. Political Factors
    • 7.4.9. Economic System
    • 7.4.10. Social Implications
    • 7.4.11. Technological Advancements
    • 7.4.12. Environmental Impacts
    • 7.4.13. Legal Compliances and Regulatory Policies (Statutory Bodies Included)
  • 7.5. Porter's Five Forces Analysis
    • 7.5.8. Supplier Power
    • 7.5.9. Buyer Power
    • 7.5.10. Substitution Threat
    • 7.5.11. Threat from New Entrant
    • 7.5.12. Competitive Rivalry

8. Market Dynamics

  • 8.1. Growth Drivers
  • 8.2. Growth Inhibitors (Challenges and Restraints)

9. Regulatory Framework and Innovation

  • 9.1. Patent Landscape
  • 9.2. Regulatory Approvals
  • 9.3. Innovations/Emerging Technologies

10. Key Players Landscape

  • 10.1. Competition Matrix of Top Five Market Leaders
  • 10.2. Market Revenue Analysis of Top Five Market Leaders (in %, 2023)
  • 10.3. Mergers and Acquisitions/Joint Ventures (If Applicable)
  • 10.4. SWOT Analysis (For Five Market Players)

11. Pricing Analysis

12. Case Studies

13. Key Players Outlook

  • 13.1. Alphabet Inc.
    • 13.1.8. Company Details
    • 13.1.9. Key Management Personnel
    • 13.1.10. Products & Services
    • 13.1.11. Financials (As reported)
    • 13.1.12. Key Market Focus & Geographical Presence
    • 13.1.13. Recent Developments
  • 13.2. NVIDIA Corporation
  • 13.3. International Business Machines Corporation (IBM)
  • 13.4. Siemens Healthineers AG
  • 13.5. Microsoft Corporation
  • 13.6. Koninklijke Philips N.V.
  • 13.7. GE HealthCare Technologies Inc
  • 13.8. Canon Medical Systems Corporation
  • 13.9. PathAI, Inc.
  • 13.10. Fujifilm Holdings Corporation
  • 13.11. InformAI Inc.
  • 13.12. Aidoc Medical Ltd.
  • 13.13. Nano-X Imaging Ltd
  • 13.14. Riverain Technologies

14. Strategic Recommendations

15. About Us & Disclaimer

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