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市場調查報告書
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1627588

MRI 人工智慧 (AI) 的全球市場：預測（2025-2030 年）

Artificial Intelligence (AI) In MRI Market - Forecasts from 2025 to 2030
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

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簡介目錄

全球 MRI 市場規模預計將從 2025 年的 10.61 億美元增至 2030 年的 24.35 億美元，預測期內複合年成長率為 23.08%。

MRI 或磁振造影是一種非侵入性醫學影像解決方案，有助於檢測各種類型的內部結構。在MRI技術中，人工智慧的融合正在幫助最大限度地發揮MRI技術的潛力。 MRI 中的人工智慧有助於提高成像解決方案的效率，並增加更準確的疾病檢測的可能性。

醫療領域技術的不斷進步預計將推動 MRI 市場對人工智慧技術的需求。人工智慧技術呈現出巨大的成長，這主要是由於多個國家的舉措擴大將技術整合到醫療保健領域。

MRI 市場人工智慧 (AI) 的促進因素

  • 癌症盛行率的增加正在推動全球市場的成長。

全球癌症和其他慢性疾病的增加預計也將在預測期內推動 MRI 市場中人工智慧的成長。例如，根據美國癌症協會的2023年癌症報告，美國預計將新增癌症病例195.8萬例，其中男性新增病例約101萬例，男性新增病例約101萬例其中女性新增病例 948,000 例。

根據美國心臟協會的數據，美國心血管死亡率從 2023 年的 928,741 人增加到 2024 年的 931,578 人。其中包括心臟疾病（40.3%）、中風（17.5%）、CVD的其他次要原因（17.1%）、高血壓（13.4%）、心臟衰竭（9.1%）和動脈疾病（2.6%）。

另一個成長趨勢是患者舒適度和獲得護理的機會，基於人工智慧的 MRI 軟體透過縮短掃描時間和提供個人化護理來減少不適。這一趨勢是由以客戶為中心的軟體系統趨勢推動的，這些系統提高了 MRI 掃描的準確性、效率和可訪問性。

使用人工智慧技術的MRI 軟體將透過床邊成像、工作流程最佳化、針對不同MRI 序列的更多人工智慧驅動的去噪技術來提高影像質量，並且在未來，隨著技術創新，甚至更小的尺寸也有望成長。

Hyperfine 宣布將於 2024 年 1 月推出獲得 CE 和 UKCA核准的 Swoop® 系統第 8 代軟體。該軟體改進了影像品質並提高了便利性，現已在部分機構提供。 DWI AI 去噪功能於 2023 年 10 月獲得 FDA 批准。該軟體提供增強的即時幫助，以實現更準確的裝載和患者定位，以及更簡化的圖像上傳程式。與傳統、昂貴的固定位置 MRI 技術不同，Swoop® 透過將大腦成像帶到患者床邊，徹底改變了神經成像工作流程。

MRI 掃描的廣泛使用產生了大量資料，人類放射科醫生很難對其進行有效分析。人工智慧演算法可以快速處理並提供有價值的見解。

MRI 市場人工智慧 (AI) 的地理前景：

  • 預計北美在預測期內將繼續佔據顯著佔有率

人工智慧建立了一個框架，探索現代技術在各個醫療領域的應用的新機會，以最佳化診斷和治療過程。美國一直處於採用這些最新創新的最前線。這項研究由牛津學者發表，涵蓋了美國50 個州的約 5,920 家醫院。到 2022 年，18.70%（即 1,107 家醫院）將採用某種形式的人工智慧，其中領先州新澤西州的醫院採用率最高，達到 48.94%。

對有效治療和準確診斷的需求不斷成長，為先進技術贏得了更廣泛的客戶群，並對 MRI 應用中的人工智慧應用範圍產生了積極影響。慢性疾病（尤其是與心臟相關的疾病）的盛行率日益增加，對美國醫療專業人員提出了挑戰，要求他們尋求治療突破並利用專有技術提供高品質的診斷 MRI。因此，領先的公司正在投資戰略夥伴關係和研究合作，以滿足這一需求。例如，2024年12月3日，梅奧診所與飛利浦建立了研究合作夥伴關係，旨在利用梅奧的醫療專業知識最佳化後者的技術。

為什麼要購買這份報告？

  • 富有洞察力的分析：獲得涵蓋主要和新興地區的深入市場洞察，重點關注客戶細分、政府政策和社會經濟因素、消費者偏好、行業和其他子區隔。
  • 競爭格局：了解世界主要企業採取的策略策略，並了解透過正確的策略滲透市場的潛力。
  • 市場趨勢和促進因素：探索動態因素和關鍵市場趨勢以及它們將如何影響未來的市場發展。
  • 可行的建議：利用洞察力做出策略決策，在動態環境中發現新的業務流和收益。
  • 受眾廣泛：對於新興企業、研究機構、顧問、中小企業和大型企業有用且具有成本效益。

它有什麼用？

產業和市場考量、機會評估、產品需求預測、打入市場策略、地理擴張、資本投資決策、法律規範與影響、新產品開發、競爭影響。

調查範圍

  • 2022年至2030年的實際資料和預測
  • 成長機會、挑戰、供應鏈前景、法規結構、顧客行為、趨勢分析
  • 競爭定位、策略和市場佔有率分析
  • 區域收益成長和預測分析，包括細分市場和國家
  • 公司簡介（主要是策略、產品、財務資訊、主要動態等）

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
  • 資料檢驗

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

第5章 MRI 人工智慧 (AI) 市場：按解決方案

  • 介紹
  • 軟體
  • 服務

第6章 MRI 中的人工智慧 (AI) 市場：按最終用戶分類

  • 介紹
  • 醫院
  • 診所
  • 診斷中心

第7章 MRI 領域的人工智慧 (AI) 市場：按地區

  • 介紹
  • 北美洲
    • 按類型
    • 按行業分類
    • 按國家/地區
  • 南美洲
    • 按類型
    • 按行業分類
    • 按國家/地區
  • 歐洲
    • 按類型
    • 按行業分類
    • 按國家/地區
  • 中東/非洲
    • 按類型
    • 按行業分類
    • 按國家/地區
  • 亞太地區
    • 按類型
    • 按行業分類
    • 按國家/地區

第8章競爭環境及分析

  • 主要企業及策略分析
  • 新興企業和市場盈利
  • 併購/協議/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
  • Intel
  • AWS
  • Google Cloud
  • Aikenist Technologies Pvt. Ltd.
  • CARPL.ai
  • Subtle Medical, Inc.
簡介目錄
Product Code: KSI061614835

The artificial intelligence (AI) in the MRI market is projected to grow at a CAGR of 23.08% over the forecast period, increasing from US$1.061 billion in 2025 to US$2.435 billion by 2030.

MRI or magnetic resonance imaging is a type of non-invasive medical imaging solution, which helps in detecting various types of internal structures. In MRI technology, the integration of artificial intelligence helps in enhancing the maximum potential of the MRI technology. The AI in the MRI helps in enhancing the efficiencies of the imaging solution, and it also increases the potential of detecting diseases more accurately.

The increasing technological advancements in the healthcare sector are expected to boost the demand for AI technology in the MRI market. The AI technology witnessed massive growth, majorly with the increasing governmental initiatives across multiple nations to integrate the technology in the healthcare sector.

Artificial Intelligence (AI) in the MRI Market Drivers

  • The growing prevalence of cancer is driving the market growth globally.

The rising global cases of cancers and other forms of chronic diseases are also expected to propel the growth of AI in the MRI market, during the forecasted timeline. For instance, according to the American Cancer Society, Inc. in its 2023 Cancer report stated that in the USA, the total estimated new cases of cancer were recorded at 1.958 million, with about 1.010 million new cases recorded in males, and 0.948 million cases recorded in females.

As per the American Heart Association, Inc, Cardiovascular mortality in the United States has risen to 931,578 in 2024 from 928,741 in 2023. It breaks down into deaths from coronary heart disease (40.3%), stroke (17.5%), other minor CVD causes (17.1%), high blood pressure (13.4%), heart failure (9.1%), and artery diseases (2.6%).

Another growing trend is patient comfort and access to care as improving scan time with less discomfort and personalized care as other driving factors for AI based MRI software. Demands for client-centric software systems that improve MRI scan precision, efficiency, and accessibility propel this trend.

MRI Software Using AI Technology is poised to grow concerning innovations in point-of-care imaging, workflow optimization, and improving images with more AI-powered denoising techniques for diverse MRI sequences, as well as the advent of even smaller and easily portable AI-powered imaging in the future.

Hyperfine, Inc. announced the introduction of the eighth-generation software of the Swoop(R) system, approved by CE and UKCA in January 2024. The software includes improved image quality and convenience and is being launched at selected sites. The DWI AI denoising feature gained FDA clearance in October 2023. This software extends real-time assistance for more accurate loading and patient positioning, along with a more streamlined image upload procedure. Swoop(R) is revolutionizing the neuroimaging workflow by bringing brain imaging to the point of the patient's bedside rather than expensive, statically deployed MRI technology.

The growing use of MRI scans generates a significant amount of data, which can be challenging for human radiologists to efficiently analyze. AI algorithms can quickly process and provide valuable insights.

Artificial Intelligence (AI) in the MRI Market Geographical Outlook:

  • North America will continue to hold a remarkable share of the market during the forecast period.

Artificial Intelligence has established a framework of exploring new opportunities of the modern technology applicability in varied healthcare fields, that would optime the diagnosis and treatment process. The United States stands at the forefront of adopting such latest innovations. According to the research study issued by Oxford Scholars, in which nearly 5,920 hospitals across 50 US states were surveyed. It was noted that 18.70% or 1,107 hospitals adopted some form of Artificial Intelligence by 2022, and hospitals in major states namely New Jersey held the highest adoption rate of 48.94%.

The rise in the demand for effective treatment and precise diagnosis has garnered a wide customer base for advanced technologies which has positively impacted the scope of AI usage in MRI applications. This growing prevalence of chronic disease especially cardiac-related is posing a challenge for US healthcare professionals to leverage a proprietary technology that would target the breakthroughs in treatment and offer high-quality diagnostic MRI. Hence major companies are investing in strategic partnerships and research collaboration to meet this demand. For instance, on 3rd December 2024, Mayo Clinic formed a research collaboration with Philips that aimed to optimize the latter's technical with Mayo's healthcare expertise which will harness the Artificial Intelligence usage in advanced MRI for cardiac applications.

Reasons for buying this report:-

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data & forecasts from 2022 to 2030
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries

Company Profiling (Strategies, Products, Financial Information, and Key Developments among others

AI in MRI Market is segmented and analyzed as follows:

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 Stakeholders

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Process
  • 2.3. Data Validation

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 Supplier
    • 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

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

  • 5.1. Introduction
  • 5.2. Software
  • 5.3. Services

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

  • 6.1. Introduction
  • 6.2. Hospitals
  • 6.3. Clinics
  • 6.4. Diagnostic Centers

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

  • 7.1. Introduction
  • 7.2. North America
    • 7.2.1. By Type
    • 7.2.2. By Industry Vertical
    • 7.2.3. By Country
      • 7.2.3.1. USA
      • 7.2.3.2. Canada
      • 7.2.3.3. Mexico
  • 7.3. South America
    • 7.3.1. By Type
    • 7.3.2. By Industry Vertical
    • 7.3.3. By Country
      • 7.3.3.1. Brazil
      • 7.3.3.2. Argentina
      • 7.3.3.3. Others
  • 7.4. Europe
    • 7.4.1. By Type
    • 7.4.2. By Industry Vertical
    • 7.4.3. By Country
      • 7.4.3.1. United Kingdom 7.4.3.2. Germany
      • 7.4.3.3. France
      • 7.4.3.4. Spain
      • 7.4.3.5. Others
  • 7.5. Middle East and Africa
    • 7.5.1. By Type
    • 7.5.2. By Industry Vertical
    • 7.5.3. By Country
      • 7.5.3.1. Saudi Arabia
      • 7.5.3.2. UAE
      • 7.5.3.3. Others
  • 7.6. Asia Pacific
    • 7.6.1. By Type
    • 7.6.2. By Industry Vertical
    • 7.6.3. By Country
      • 7.6.3.1. China
      • 7.6.3.2. Japan
      • 7.6.3.3. India
      • 7.6.3.4. South Korea
      • 7.6.3.5. Australia
      • 7.6.3.6. Singapore
      • 7.6.3.7. Indonesia
      • 7.6.3.8. Others

8. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 8.1. Major Players and Strategy Analysis
  • 8.2. Emerging Players and Market Lucrativeness
  • 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
  • 9.8. Intel
  • 9.9. AWS
  • 9.10. Google Cloud
  • 9.11. Aikenist Technologies Pvt. Ltd.
  • 9.12. CARPL.ai
  • 9.13. Subtle Medical, Inc.