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市場調查報告書
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1456879

MRI 人工智慧 (AI) 市場 – 2024 年至 2029 年預測

Artificial Intelligence (AI) in MRI Market - Forecasts from 2024 to 2029
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 124 Pages | 商品交期: 最快1-2個工作天內

價格
簡介目錄

MRI 領域的人工智慧 (AI) 市場預計將以 37.14% 的複合年成長率成長，從 2022 年的 2.37 億美元增至 2029 年的 21.6 億美元。

MRI 人工智慧 (AI) 市場的推動因素包括跨行業合作和夥伴關係的增加、政府支持使用基於人工智慧的技術的舉措、醫療領域的人工智慧 (AI) 工具以及私營公司的興趣人工智慧新興企業受到多種因素的推動，其中包括資金的增加。近年來，人們對具有機器學習功能的醫療設備的興趣增加。 FDA 審查並核准了越來越多的在過去使用 ML 合法銷售的設備（透過 510(k) 許可、批准 De Novo 請求並核准PMA），並且這種趨勢仍在繼續。我們預測這種情況將繼續下去將來。例如，根據 OECD資料，2022 年芬蘭磁振造影(MRI) 設備的普及為每百萬人 33.16 台，挪威每百萬人擁有 31.33 台。隨著MRI的普及，人工智慧在MRI中的引入顯著增加。

市場驅動力

  • 對醫學影像服務的需求不斷成長正在刺激市場成長。

醫療保健專業人員可以使用人工智慧演算法提供更準確、更有效的診斷服務、減少等待時間並改善患者治療結果。美國國立衛生研究院 (NIH) 報告稱，對醫學影像服務的需求正在增加，其中 MRI 是最受歡迎的模式之一。 2023 年 6 月，美國食品藥物管理局(FDA) 授予最新的人工智慧專利 Ezra Flash 510(k) 授權。 Ezra 是一家醫療人工智慧公司，利用全身 MRI 影像徹底改變早期癌症診斷。人工智慧和磁振造影（MRI）領域的智慧財產權不斷擴大預計將為行業參與企業提供利潤豐厚的機會，並加強人工智慧在 MRI 市場成長中的作用。

  • 阿茲海默症的盛行率日益上升，為人工智慧在 MRI 應用中的應用創造了新的成長前景。

在 PLOS ONE 最近發表的一項研究中，馬薩諸塞州總醫院 (MGH) 的研究人員分析了腦部磁振造影(MRI)資料，並使用深度學習人工智慧 (AI) 來識別阿茲海默症。我們描述瞭如何建立和測試該模型。阿茲海默症協會使用美國人口普查局的 2023 年人口預測以及芝加哥健康與老齡化計劃(CHAP) 的最新資訊，該計畫是一項以人口為基礎的研究，針對影響老年人的慢性健康狀況進行研究。研究確定了65 歲以上的大致人數患有老年失智症失智症的人。此外，2023 年 3 月，研究人員創建了一個機器學習模型來早期檢測阿茲海默症。該模型可以透過智慧型手機訪問，能夠以 70-75% 的準確率區分阿茲海默症和健康個體。透過專注於語音模式而不是內容，該技術可以提供重要的早期指標，以便更快地開始治療並延緩疾病的發作。

  • 主要國家癌症患者增加推動市場成長

MRI 主要用於診斷影響軟組織的疾病，例如腫瘤，包括癌症。根據美國衛生統計中心的數據，美國新登記的癌症患者人數為1,958,310人，2023年癌症死亡人數預計為6,098,820人。美國癌症患者的增加增加了對人工智慧的需求，這反過來又預計會增加對人工智慧等先進技術的需求，以幫助在預測期內提供更精確的治療。

預計北美將出現顯著成長。

由於美國等主要區域經濟體醫療保健基礎設施的增加以及先進醫療技術的不斷採用提供了新的市場成長機會，預計北美地區將佔據重要的市場佔有率。此外，美國人均醫療保健支出的增加也促進了支出的增加。例如，美國醫療保險和醫療補助服務中心 (CMS gov.) 2021 年的人均醫療保健支出為 12,914 美元。

人工智慧越來越普遍地應用於磁振造影(MRI) 掃描的各個方面，以提高影像品質、最佳化流程並協助診斷醫療狀況。人工智慧可以透過減少雜訊和偽影來提高 MRI 影像的質量，從而可以從低解析度掃描創建高解析度影像，從而提高診斷準確性。

目錄

第1章 簡介

  • 市場概況
  • 市場定義
  • 調查範圍
  • 市場區隔
  • 貨幣
  • 先決條件
  • 基準年和預測年時間表
  • 相關人員的主要利益

第2章調查方法

  • 研究設計
  • 調查過程

第3章執行摘要

  • 主要發現
  • 分析師觀點

第4章市場動態

  • 市場促進因素
  • 市場限制因素
  • 波特五力分析
  • 產業價值鏈分析
  • 分析師觀點

第5章 MRI 中的人工智慧 (AI) 市場：按解決方案

  • 介紹
  • 軟體
    • 市場趨勢和機遇
    • 成長前景
  • 服務
    • 市場趨勢和機遇
    • 成長前景

第6章 MRI 中的人工智慧 (AI) 市場：按最終用戶分類

  • 介紹
  • 醫院
    • 市場趨勢和機遇
    • 成長前景
  • 診所
    • 市場趨勢和機遇
    • 成長前景
  • 診斷中心
    • 市場趨勢和機遇
    • 成長前景

第7章 MRI 領域的人工智慧 (AI) 市場：按地區

  • 介紹
  • 北美洲
    • 按解決方案
    • 按最終用戶
    • 按國家/地區
  • 南美洲
    • 按解決方案
    • 按最終用戶
    • 按國家/地區
  • 歐洲
    • 按解決方案
    • 按最終用戶
    • 按國家/地區
  • 中東/非洲
    • 按解決方案
    • 按最終用戶
    • 按國家/地區
  • 亞太地區
    • 按解決方案
    • 按最終用戶
    • 按國家/地區

第8章競爭環境及分析

  • 主要企業及策略分析
  • 市場佔有率分析
  • 合併、收購、協議和合作
  • 競爭對手儀表板

第9章 公司簡介

  • Siemens Healthineers AG
  • GE HealthCare
  • IBM
  • Philips Healthcare
  • NVIDIA Corporation
  • Oxipit.ai
  • Quibim
簡介目錄
Product Code: KSI061614835

The Artificial intelligence (AI) in MRI market is projected to grow at a CAGR of 37.14% to reach US$2.160 billion in 2029 from US$0.237 billion in 2022.

Artificial intelligence in the MRI market is being driven by several factors, including an increase in cross-industry collaborations and partnerships, government initiatives to support the use of AI-based technologies, artificial intelligence (AI) tools in the medical sector, and increased funding for AI-based start-ups by private players. In recent years, there has been a rise in interest in medical devices with ML capabilities. The FDA has examined and approved an increasing number of devices that have been lawfully sold (through 510(k) clearance, granted De Novo request, or approved PMA) with ML in the past, and it anticipates that this trend will continue. For instance, as per OECD data, magnetic resonance imaging (MRI) Units in 2022 were 33.16 per million inhabitants in Finland, and for Norway, the value was 31.33. With the increasing use of MRIs, the inculcation of AI in them is significantly increasing.

Market Drivers

  • Rising demand for medical imaging services has stimulated the market growth.

Healthcare practitioners may use AI algorithms to deliver more precise and effective diagnostic services, cutting down on wait times and increasing patient outcomes. The US National Institutes of Health (NIH) reports that there is a rising demand for medical imaging services, with MRI being one of the most popular modalities. The U.S. Food and Drug Administration (FDA), in June 2023, gave Ezra Flash, its newest patented artificial intelligence, 510(k) certification. Ezra is a healthcare AI firm that is revolutionizing early cancer diagnosis using whole-body MRI imaging. The increasing expansion of intellectual property in the domain of artificial intelligence and magnetic resonance imaging (MRI) is expected to offer lucrative opportunities to the industry players and bolster artificial intelligence in the MRI market growth.

  • Growing prevalence of Alzheimer has provided new growth prospects for AI in MRI application.

In a recent study that was published in PLOS ONE, researchers from Massachusetts General Hospital (MGH) described how they created and tested a deep-learning artificial intelligence (AI) model to analyze data from brain magnetic resonance images (MRIs) and identify Alzheimer's disease. The Alzheimer's Association study using the most recent information from the U.S. Census Bureau's population projections for 2023 and the Chicago Health and Ageing Project (CHAP), a population-based study of chronic health conditions affecting older people, has determined the approximate number of people aged 65 and older who have Alzheimer's dementia. Further, in March 2023, researchers created a machine-learning model to detect Alzheimer's disease early. This model, which may be accessed via smartphones, can discriminate between people with Alzheimer's disease and healthy people with an accuracy of 70-75%. The technology might provide important early indicators by concentrating on speech patterns rather than content, thus starting therapy sooner and delaying illness development.

  • Growth in cancer cases in major economies has bolstered the market growth

MRI is majorly used to diagnose conditions that affect soft tissues such as tumors including cancer. According to the National Center for Health Statistics, the new cancer cases registered in the United States were 1,958,310, and cancer deaths were estimated to be 6,09,820 in the year 2023. Such increasing cases of cancer in the United States are increasing the demand for AI which in turn is anticipated to increase the need for advanced technologies such as artificial intelligence that can help in better precision in the projected period.

North America is anticipated to show significant growth.

The North American region is expected to account for considerable market share fueled by the increasing medical infrastructure in major regional economies such as United States coupled with growing advanced medical technologies adoption which has provided new market growth opportunities. Moreover, the increased per capita healthcare spending by the people of the United States can also be one of the reasons for increased spending. For instance, the U.S. Centers for Medicare & Medicaid Services (CMS gov.) per capita healthcare spending was US$ 12,914 per person in 2021.

Artificial Intelligence is being more commonly applied in different facets of MRI (Magnetic Resonance Imaging) scans, aiming to enhance image quality, optimize processes, and assist in diagnosing medical conditions. AI can improve the quality of MRI images by diminishing noise and artifacts, allowing for the creation of higher-resolution images from lower-resolution scans, thereby enhancing the precision of diagnoses.

Key Developments

  • In November 2023: GE Healthcare introduced "SIGNA Champion" which is 1.5T wide bore MRI system equipped with advanced AI and innovative features that enhances the standard MRI procedures and develops precise scans.
  • In June 2023, Sonic DL (GE HealthCare), a deep learning program that may alter scan time expectations and perhaps increase the number of patients who are eligible for cardiac magnetic resonance imaging (MRI), received 510(k) approval from the Food and Drug Administration (FDA).
  • In July 2022, the FDA approved Philips SmartSpeed AI-based software, allowing it to provide industry-first high-speed, high-resolution MR imaging.

Segmentation:

By Solution

  • Software
  • Services

By End-User

  • Hospitals
  • Clinics
  • Diagnostic Centers

By Geography

  • North America
  • United States
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • United Kingdom
  • Germany
  • France
  • Italy
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Others
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Singapore
  • Indonesia
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base, and Forecast Years Timeline
  • 1.8. Key Benefits for the stakeholder

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Processes

3. EXECUTIVE SUMMARY

  • 3.1. Key Findings
  • 3.2. Analyst View

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis
  • 4.5. Analyst View

5. ARTIFICIAL INTELLIGENCE (AI) IN MRI MARKET BY SOLUTION

  • 5.1. Introduction
  • 5.2. Software
    • 5.2.1. Market Trends and Opportunities
    • 5.2.2. Growth Prospects
  • 5.3. Services
    • 5.3.1. Market Trends and Opportunities
    • 5.3.2. Growth Prospects

6. ARTIFICIAL INTELLIGENCE (AI) IN MRI MARKET BY END-USER

  • 6.1. Introduction
  • 6.2. Hospitals
    • 6.2.1. Market Trends and Opportunities
    • 6.2.2. Growth Prospects
  • 6.3. Clinics
    • 6.3.1. Market Trends and Opportunities
    • 6.3.2. Growth Prospects
  • 6.4. Diagnostic Centers
    • 6.4.1. Market Trends and Opportunities
    • 6.4.2. Growth Prospects

7. ARTIFICIAL INTELLIGENCE (AI) IN MRI MARKET BY GEOGRAPHY

  • 7.1. Introduction
  • 7.2. North America
    • 7.2.1. By Solution
    • 7.2.2. By End-User
    • 7.2.3. By Country
      • 7.2.3.1. USA
        • 7.2.3.1.1. Market Trends and Opportunities
        • 7.2.3.1.2. Growth Prospects
      • 7.2.3.2. Canada
        • 7.2.3.2.1. Market Trends and Opportunities
        • 7.2.3.2.2. Growth Prospects
      • 7.2.3.3. Mexico
        • 7.2.3.3.1. Market Trends and Opportunities
        • 7.2.3.3.2. Growth Prospects
  • 7.3. South America
    • 7.3.1. By Solution
    • 7.3.2. By End-User
    • 7.3.3. By Country
      • 7.3.3.1. Brazil
        • 7.3.3.1.1. Market Trends and Opportunities
        • 7.3.3.1.2. Growth Prospects
      • 7.3.3.2. Argentina
        • 7.3.3.2.1. Market Trends and Opportunities
        • 7.3.3.2.2. Growth Prospects
      • 7.3.3.3. Others
        • 7.3.3.3.1. Market Trends and Opportunities
        • 7.3.3.3.2. Growth Prospects
  • 7.4. Europe
    • 7.4.1. By Solution
    • 7.4.2. By End-User
    • 7.4.3. By Country
      • 7.4.3.1. United Kingdom
        • 7.4.3.1.1. Market Trends and Opportunities
        • 7.4.3.1.2. Growth Prospects
      • 7.4.3.2. Germany
        • 7.4.3.2.1. Market Trends and Opportunities
        • 7.4.3.2.2. Growth Prospects
      • 7.4.3.3. France
        • 7.4.3.3.1. Market Trends and Opportunities
        • 7.4.3.3.2. Growth Prospects
      • 7.4.3.4. Italy
        • 7.4.3.4.1. Market Trends and Opportunities
        • 7.4.3.4.2. Growth Prospects
      • 7.4.3.5. Spain
        • 7.4.3.5.1. Market Trends and Opportunities
        • 7.4.3.5.2. Growth Prospects
      • 7.4.3.6. Others
        • 7.4.3.6.1. Market Trends and Opportunities
        • 7.4.3.6.2. Growth Prospects
  • 7.5. Middle East and Africa
    • 7.5.1. By Solution
    • 7.5.2. By End-User
    • 7.5.3. By Country
      • 7.5.3.1. Saudi Arabia
        • 7.5.3.1.1. Market Trends and Opportunities
        • 7.5.3.1.2. Growth Prospects
      • 7.5.3.2. UAE
        • 7.5.3.2.1. Market Trends and Opportunities
        • 7.5.3.2.2. Growth Prospects
      • 7.5.3.3. Others
        • 7.5.3.3.1. Market Trends and Opportunities
        • 7.5.3.3.2. Growth Prospects
  • 7.6. Asia Pacific
    • 7.6.1. By Solution
    • 7.6.2. By End-User
    • 7.6.3. By Country
      • 7.6.3.1. China
        • 7.6.3.1.1. Market Trends and Opportunities
        • 7.6.3.1.2. Growth Prospects
      • 7.6.3.2. Japan
        • 7.6.3.2.1. Market Trends and Opportunities
        • 7.6.3.2.2. Growth Prospects
      • 7.6.3.3. India
        • 7.6.3.3.1. Market Trends and Opportunities
        • 7.6.3.3.2. Growth Prospects
      • 7.6.3.4. South Korea
        • 7.6.3.4.1. Market Trends and Opportunities
        • 7.6.3.4.2. Growth Prospects
      • 7.6.3.5. Australia
        • 7.6.3.5.1. Market Trends and Opportunities
        • 7.6.3.5.2. Growth Prospects
      • 7.6.3.6. Singapore
        • 7.6.3.6.1. Market Trends and Opportunities
        • 7.6.3.6.2. Growth Prospects
      • 7.6.3.7. Indonesia
        • 7.6.3.7.1. Market Trends and Opportunities
        • 7.6.3.7.2. Growth Prospects
      • 7.6.3.8. Others
        • 7.6.3.8.1. Market Trends and Opportunities
        • 7.6.3.8.2. Growth Prospects

8. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 8.1. Major Players and Strategy Analysis
  • 8.2. Market Share Analysis
  • 8.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 8.4. Competitive Dashboard

9. COMPANY PROFILES

  • 9.1. Siemens Healthineers AG
  • 9.2. GE HealthCare
  • 9.3. IBM
  • 9.4. Philips Healthcare
  • 9.5. NVIDIA Corporation
  • 9.6. Oxipit.ai
  • 9.7. Quibim