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市场调查报告书
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1627588

MRI 人工智慧 (AI) 的全球市场：预测（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个工作天内

价格
简介目录

全球 MRI 市场规模预计将从 2025 年的 10.61 亿美元增至 2030 年的 24.35 亿美元，预测期内复合年增长率为 23.08%。

MRI 或磁振造影是一种非侵入性医学影像解决方案，有助于检测各种类型的内部结构。在MRI技术中，人工智慧的融合正在帮助最大限度地发挥MRI技术的潜力。 MRI 中的人工智慧有助于提高成像解决方案的效率，并增加更准确的疾病检测的可能性。

医疗领域技术的不断进步预计将推动 MRI 市场对人工智慧技术的需求。人工智慧技术呈现出巨大的成长，这主要是由于多个国家的倡议越来越多地将技术整合到医疗保健领域。

MRI 市场人工智慧 (AI) 的驱动因素

  • 癌症盛行率的增加正在推动全球市场的成长。

全球癌症和其他慢性疾病的增加预计也将在预测期内推动 MRI 市场中人工智慧的成长。例如，根据美国癌症协会的2023年癌症报告，美国预计将新增癌症病例195.8万例，其中男性新增病例约101万例，男性新增病例约101万例其中女性新增病例 948,000 例。

根据美国心臟协会的数据，美国心血管死亡率从 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%）、中风（17.5%）、CVD的其他次要原因（17.1%）、高血压（13.4%）、心臟衰竭（9.1%）和动脉疾病（2.6%）。

另一个成长趋势是患者舒适度和获得护理的机会，基于人工智慧的 MRI 软体透过缩短扫描时间和提供个人化护理来减少不适。这一趋势是由以客户为中心的软体系统趋势推动的，这些系统提高了 MRI 扫描的准确性、效率和可访问性。

使用人工智慧技术的MRI 软体将透过床边成像、工作流程优化、针对不同MRI 序列的更多人工智慧驱动的去噪技术来提高影像质量，并且在未来，随着技术创新，甚至更小的尺寸也有望成长。

Hyperfine 宣布将于 2024 年 1 月推出获得 CE 和 UKCA核准的 Swoop® 系统第 8 代软体。该软体改进了影像品质并提高了便利性，现已在部分机构提供。 DWI AI 去噪功能于 2023 年 10 月获得 FDA 批准。该软体提供增强的即时帮助，以实现更准确的装载和患者定位，以及更简化的图像上传程式。与传统、昂贵的固定位置 MRI 技术不同，Swoop® 透过将大脑成像带到患者床边，彻底改变了神经成像工作流程。

MRI 扫描的广泛使用产生了大量资料，人类放射科医生很难对其进行有效分析。人工智慧演算法可以快速处理并提供有价值的见解。

MRI 市场人工智慧 (AI) 的地理前景：

  • 预计北美在预测期内将继续占据显着份额

人工智慧建立了一个框架，探索现代技术在各个医疗领域的应用的新机会，以优化诊断和治疗过程。美国一直处于采用这些最新创新的最前线。这项研究由牛津学者发表，涵盖了美国50 个州的约 5,920 家医院。到 2022 年，18.70%（即 1,107 家医院）将采用某种形式的人工智慧，其中领先州新泽西州的医院采用率最高，达到 48.94%。

对有效治疗和准确诊断的需求不断增长，为先进技术赢得了更广泛的客户群，并对 MRI 应用中的人工智慧应用范围产生了积极影响。慢性疾病（尤其是与心臟相关的疾病）的盛行率日益增加，对美国医疗专业人员提出了挑战，要求他们寻求治疗突破并利用专有技术提供高品质的诊断 MRI。因此，领先的公司正在投资战略伙伴关係和研究合作，以满足这一需求。例如，2024年12月3日，梅奥诊所与飞利浦建立了研究合作伙伴关係，旨在利用梅奥的医疗专业知识优化后者的技术。

为什么要购买这份报告？

  • 富有洞察力的分析：获得涵盖主要和新兴地区的深入市场洞察，重点关注客户细分、政府政策和社会经济因素、消费者偏好、行业和其他子区隔。
  • 竞争格局：了解世界主要企业采取的策略策略，并了解透过正确的策略渗透市场的潜力。
  • 市场趋势和驱动因素：探索动态因素和关键市场趋势以及它们将如何影响未来的市场发展。
  • 可行的建议：利用洞察力做出策略决策，在动态环境中发现新的业务流和收益。
  • 受众广泛：对于新兴企业、研究机构、顾问、中小企业和大型企业有用且具有成本效益。

它有什么用？

产业和市场考量、机会评估、产品需求预测、打入市场策略、地理扩张、资本投资决策、法律规范与影响、新产品开发、竞争影响。

调查范围

  • 2022年至2030年的实际资料和预测
  • 成长机会、挑战、供应链前景、法规结构、顾客行为、趋势分析
  • 竞争定位、策略和市场占有率分析
  • 区域收益成长和预测分析，包括细分市场和国家
  • 公司简介（主要是策略、产品、财务资讯、主要动态等）

目录

第一章简介

  • 市场概况
  • 市场定义
  • 调查范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关人员的主要利益

第二章调查方法

  • 研究设计
  • 调查过程
  • 资料检验

第三章执行摘要

  • 主要发现
  • 分析师观点

第四章市场动态

  • 市场驱动因素
  • 市场限制因素
  • 波特五力分析
  • 产业价值链分析

第五章 MRI 人工智慧 (AI) 市场：按解决方案

  • 介绍
  • 软体
  • 服务

第六章 MRI 中的人工智慧 (AI) 市场：按最终用户划分

  • 介绍
  • 医院
  • 诊所
  • 诊断中心

第七章 MRI 领域的人工智慧 (AI) 市场：按地区

  • 介绍
  • 北美洲
    • 按类型
    • 按行业分类
    • 按国家/地区
  • 南美洲
    • 按类型
    • 按行业分类
    • 按国家/地区
  • 欧洲
    • 按类型
    • 按行业分类
    • 按国家/地区
  • 中东/非洲
    • 按类型
    • 按行业分类
    • 按国家/地区
  • 亚太地区
    • 按类型
    • 按行业分类
    • 按国家/地区

第八章竞争环境及分析

  • 主要企业及策略分析
  • 新兴企业和市场盈利
  • 併购/协议/合作
  • 竞争对手仪表板

第九章 公司简介

  • 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.
简介目录
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.