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市場調査レポート
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1422779

医療診断におけるAIの世界市場:コンポーネントタイプ別、診断タイプ別、用途別、技術別、エンドユーザー別、地域別、機会、予測、2016年~2030年

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

出版日: | 発行: Market Xcel - Markets and Data | ページ情報: 英文 406 Pages | 納期: 3~5営業日

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価格
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医療診断におけるAIの世界市場:コンポーネントタイプ別、診断タイプ別、用途別、技術別、エンドユーザー別、地域別、機会、予測、2016年~2030年
出版日: 2024年02月12日
発行: Market Xcel - Markets and Data
ページ情報: 英文 406 Pages
納期: 3~5営業日
  • 全表示
  • 概要
  • 図表
  • 目次
概要

世界の医療診断におけるAIの市場規模は、予測期間の2024年~2031年に26.40%のCAGRで拡大し、2023年の16億4,202万米ドルから2031年には106億5,792万米ドルに成長すると予測されています。同市場は近年著しい成長を遂げており、今後も力強い拡大ペースを維持すると予想されます。

人工知能は、現在および将来の医療診断に大きな期待を寄せています。現在、AIベースの診断技術は、ヘルスケア専門家がX線、MRI、CTスキャンなどの医療画像を解読するのに役立ち、その結果、迅速でより正確な診断が可能になります。予測診断を行うために、AIアルゴリズムは患者の情報、症状、医学的背景を調べることができます。医療診断におけるAIの応用は、この分野の発展とともに拡大すると予想されます。

医療診断におけるAI市場の成長は、グラフィックカードとGPU技術の進歩によって支配され、機器を通じて生成された診断データの高スループット分析を可能にします。AIベースの診断ソリューションを開発する新興企業に対する投資家の関心の高まりが、市場の大幅な拡大を後押ししています。個別化医療、精密診断の動向、疾病負担の増大により、より良い臨床結果を得るための診断におけるAIの統合が求められています。さらに、ヘルスケア分野における技術強化のための政府の取り組みが、継続的な市場拡大の傾向を支えています。

世界の疾病負担の増大は、臨床結果におけるエラーを低減し、医療従事者の負担を軽減するための技術主導型診断への需要を大幅に高め、AIベースの診断ソリューションへの需要をさらに促進しています。近年、投資家はAIベースの新興企業に深い関心を示しており、これがインフラ開発と市場拡大の余地拡大を後押ししています。メーカーは革新的なソリューションを打ち出し、市場での価値を確立しようとしています。

当レポートでは、世界の医療診断におけるAI市場について調査し、市場の概要とともに、コンポーネントタイプ別、診断タイプ別、用途別、技術別、エンドユーザー別、地域別動向、および市場に参入する企業のプロファイルなどを提供しています。

目次

第1章 調査手法

第2章 プロジェクトの範囲と定義

第3章 エグゼクティブサマリー

第4章 医療診断におけるAIの世界市場の見通し、2017年~2031年

  • 市場規模と予測
  • コンポーネントタイプ別
  • 診断タイプ別
  • 用途別
  • 技術別
  • エンドユーザー別
  • 地域別
  • 企業別市場シェア(%)、2023年

第5章 医療診断におけるAIの世界市場の見通し、地域別、2017年~2031年

  • 北米
  • 欧州
  • アジア太平洋
  • 南米
  • 中東・アフリカ

第6章 市場マッピング、2023年

第7章 マクロ環境と産業構造

  • 需要供給分析
  • 輸出入分析
  • バリューチェーン分析
  • PESTEL分析
  • ポーターのファイブフォース分析

第8章 市場力学

第9章 規制の枠組みとイノベーション

第10章 主要参入企業の情勢

第11章 価格分析

第12章 ケーススタディ

第13章 主要企業の見通し

  • 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

第14章 戦略的提言

第15章 お問合せと免責事項

図表

List of Tables

  • Table 1 Competition Matrix of Top 5 Market Leaders
  • Table 2 Recent Developments
  • Table 3 Pricing Analysis
  • Table 4 About Us - Regions and Countries Where We Have Executed Client Projects

List of Figures

  • Figure 1. Global AI in Medical Diagnostics Market, By Value, In USD Million, 2017-2031F
  • Figure 2. Global AI in Medical Diagnostics Market Share (in %), By Component Type, 2017-2031F
  • Figure 3. Global AI in Medical Diagnostics Market Share (in %), By Diagnosis Type, 2017-2031F
  • Figure 4. Global AI in Medical Diagnostics Market Share (in %), Diagnostic Imaging Sub-Segment, 2017-2031F
  • Figure 5. Global AI in Medical Diagnostics Market Share (in %), By Application, 2017-2031F
  • Figure 6. Global AI in Medical Diagnostics Market Share (in %), By Technology, 2017-2031F
  • Figure 7. Global AI in Medical Diagnostics Market Share (in %), By End-user, 2017-2031F
  • Figure 8. Global AI in Medical Diagnostics Market Share (in %), By Region, 2017-2031F
  • Figure 9. Market Share of Top Five Companies (In %, 2023)
  • Figure 10. North America AI in Medical Diagnostics Market, By Value, In USD Million, 2017-2031F
  • Figure 11. North America AI in Medical Diagnostics Market Share (in %), By Component Type, 2017-2031F
  • Figure 12. North America AI in Medical Diagnostics Market Share (in %), By Diagnosis Type, 2017-2031F
  • Figure 13. North America AI in Medical Diagnostics Market Share (in %), Diagnostic Imaging Sub-Segment, 2017-2031F
  • Figure 14. North America AI in Medical Diagnostics Market Share (in %), By Application, 2017-2031F
  • Figure 15. North America AI in Medical Diagnostics Market Share (in %), By Technology, 2017-2031F
  • Figure 16. North America AI in Medical Diagnostics Market Share (in %), By End-user, 2017-2031F
  • Figure 17. North America AI in Medical Diagnostics Market Share (in %), By Country, 2017-2031F
  • Figure 18. United States AI in Medical Diagnostics Market, By Value, In USD Million, 2017-2031F
  • Figure 19. Canada AI in Medical Diagnostics Market, By Value, In USD Million, 2017-2031F
  • Figure 20. Mexico AI in Medical Diagnostics Market, By Value, In USD Million, 2017-2031F
  • Figure 21. Europe AI in Medical Diagnostics Market, By Value, In USD Million, 2017-2031F
  • Figure 22. Europe AI in Medical Diagnostics Market Share (in %), By Component Type, 2017-2031F
  • Figure 23. Europe AI in Medical Diagnostics Market Share (in %), By Diagnosis Type, 2017-2031F
  • Figure 24. Europe AI in Medical Diagnostics Market Share (in %), Diagnostic Imaging Sub-Segment, 2017-2031F
  • Figure 25. Europe AI in Medical Diagnostics Market Share (in %), By Application, 2017-2031F
  • Figure 26. Europe AI in Medical Diagnostics Market Share (in %), By Technology, 2017-2031F
  • Figure 27. Europe AI in Medical Diagnostics Market Share (in %), By End-user, 2017-2031F
  • Figure 28. Europe AI in Medical Diagnostics Market Share (in %), By Country, 2017-2031F
  • Figure 29. Germany AI in Medical Diagnostics Market, By Value, In USD Million, 2017-2031F
  • Figure 30. France AI in Medical Diagnostics Market, By Value, In USD Million, 2017-2031F
  • Figure 31. United Kingdom AI in Medical Diagnostics Market, By Value, In USD Million, 2017-2031F
  • Figure 32. Italy AI in Medical Diagnostics Market, By Value, In USD Million, 2017-2031F
  • Figure 33. Spain AI in Medical Diagnostics Market, By Value, In USD Million, 2017-2031F
  • Figure 34. Turkey AI in Medical Diagnostics Market, By Value, In USD Million, 2017-2031F
  • Figure 35. Russia AI in Medical Diagnostics Market, By Value, In USD Million, 2017-2031F
  • Figure 36. Netherlands AI in Medical Diagnostics Market, By Value, In USD Million, 2017-2031F
  • Figure 37. Poland AI in Medical Diagnostics Market, By Value, In USD Million, 2017-2031F
  • Figure 38. Asia-Pacific AI in Medical Diagnostics Market, By Value, In USD Million, 2017-2031F
  • Figure 39. Asia-Pacific AI in Medical Diagnostics Market Share (in %), By Component Type, 2017-2031F
  • Figure 40. Asia-Pacific AI in Medical Diagnostics Market Share (in %), By Diagnosis Type, 2017-2031F
  • Figure 41. Asia-Pacific AI in Medical Diagnostics Market Share (in %), Diagnostic Imaging Sub-Segment, 2017-2031F
  • Figure 42. Asia-Pacific AI in Medical Diagnostics Market Share (in %), By Application, 2017-2031F
  • Figure 43. Asia-Pacific AI in Medical Diagnostics Market Share (in %), By Technology, 2017-2031F
  • Figure 44. Asia-Pacific AI in Medical Diagnostics Market Share (in %), By End-user, 2017-2031F
  • Figure 45. Asia-Pacific AI in Medical Diagnostics Market Share (in %), By Country, 2017-2031F
  • Figure 46. China AI in Medical Diagnostics Market, By Value, In USD Million, 2017-2031F
  • Figure 47. Japan AI in Medical Diagnostics Market, By Value, In USD Million, 2017-2031F
  • Figure 48. India AI in Medical Diagnostics Market, By Value, In USD Million, 2017-2031F
  • Figure 49. South Korea AI in Medical Diagnostics Market, By Value, In USD Million, 2017-2031F
  • Figure 50. Australia AI in Medical Diagnostics Market, By Value, In USD Million, 2017-2031F
  • Figure 51. Vietnam AI in Medical Diagnostics Market, By Value, In USD Million, 2017-2031F
  • Figure 52. Indonesia AI in Medical Diagnostics Market, By Value, In USD Million, 2017-2031F
  • Figure 53. Philippines AI in Medical Diagnostics Market, By Value, In USD Million, 2017-2031F
  • Figure 54. Middle East & Africa AI in Medical Diagnostics Market, By Value, In USD Million, 2017-2031F
  • Figure 55. Middle East & Africa AI in Medical Diagnostics Market Share (in %), By Component Type, 2017-2031F
  • Figure 56. Middle East & Africa AI in Medical Diagnostics Market Share (in %), By Diagnosis Type, 2017-2031F
  • Figure 57. Middle East & Africa AI in Medical Diagnostics Market Share (in %), Diagnostic Imaging Sub-Segment, 2017-2031F
  • Figure 58. Middle East & Africa AI in Medical Diagnostics Market Share (in %), By Application, 2017-2031F
  • Figure 59. Middle East & Africa AI in Medical Diagnostics Market Share (in %), By Technology, 2017-2031F
  • Figure 60. Middle East & Africa AI in Medical Diagnostics Market Share (in %), By End-user, 2017-2031F
  • Figure 61. Middle East & Africa AI in Medical Diagnostics Market Share (in %), By Country, 2017-2031F
  • Figure 62. Saudi Arabia AI in Medical Diagnostics Market, By Value, In USD Million, 2017-2031F
  • Figure 63. UAE AI in Medical Diagnostics Market, By Value, In USD Million, 2017-2031F
  • Figure 64. South Africa AI in Medical Diagnostics Market, By Value, In USD Million, 2017-2031F
  • Figure 65. South America AI in Medical Diagnostics Market, By Value, In USD Million, 2017-2031F
  • Figure 66. South America AI in Medical Diagnostics Market Share (in %), By Component Type, In USD Million, 2017-2031F
  • Figure 67. South America AI in Medical Diagnostics Market Share (in %), By Diagnosis Type, 2017-2031F
  • Figure 68. South America AI in Medical Diagnostics Market Share (in %), Diagnostic Imaging Sub-Segment, 2017-2031F
  • Figure 69. South America AI in Medical Diagnostics Market Share (in %), By Application, 2017-2031F
  • Figure 70. South America AI in Medical Diagnostics Market Share (in %), By Technology, 2017-2031F
  • Figure 71. South America AI in Medical Diagnostics Market Share (in %), By End-user, 2017-2031F
  • Figure 72. South America AI in Medical Diagnostics Market Share (in %), By Country, 2017-2031F
  • Figure 73. Brazil AI in Medical Diagnostics Market, By Value, In USD Million, 2017-2031F
  • Figure 74. Argentina AI in Medical Diagnostics Market, By Value, In USD Million, 2017-2031F
  • Figure 75. By Component Type Map-Market Size (USD Million) & Growth Rate (%), 2023
  • Figure 76. By Diagnosis Type Map-Market Size (USD Million) & Growth Rate (%), 2023
  • Figure 77. By Diagnostic Imaging Sub-Segment Map-Market Size (USD Million) & Growth Rate (%), 2023
  • Figure 78. By Application Map-Market Size (USD Million) & Growth Rate (%), 2023
  • Figure 79. By Technology Map-Market Size (USD Million) & Growth Rate (%), 2023
  • Figure 80. By End-user Map-Market Size (USD Million) & Growth Rate (%), 2023
  • Figure 81. By Region Map-Market Size (USD Million) & Growth Rate (%), 2023
目次
Product Code: MX10734

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