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市场调查报告书
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1371875

到 2030 年医疗影像影像市场预测：按部署模式、解决方案、技术、影像模式、用途、最终用户和地区进行的全球分析

Artificial Intelligence in Medical Imaging Market Forecasts to 2030 - Global Analysis By Deployment Mode, Solution, Technology (Deep Learning, Natural Language Processing and Other Technologies), Imaging Mode, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据Stratistics MRC预测，2023年全球医疗影像诊断领域人工智慧（AI）市场规模将达到17.7亿美元，预测期内年复合成长率为28.5%，到2030年将达到102.5亿美元。预计将达到。

医学影像处理中的人工智慧（AI）是指将人工智慧技术应用于各种显像模式，例如超音波、电脑断层扫描（CT）、磁振造影（MRI）和X射线，以改善医学影像的处理. - 指自动化。使用先进的演算法和机器学习模型从医学影像中分析和提取重要资讯，以帮助识别、诊断和治疗各种疾病和状况。

根据美国癌症协会总合，今年美国将新增 236,740 例肺癌和支气管癌罹患。

基于人工智慧的医学影像处理新兴企业数量增加

目前的医学影像处理市场是由人工智慧驱动的。这是因为该软体的好处是可以让医生更快诊断疾病并提供早期疗育。此外，新的人工智慧主导新兴企业正在专注于人工智慧医疗影像解决方案并添加复杂的功能。推进医学影像处理领域的人工智慧还需要增加该领域的资金和投资。例如，立陶宛的 oxipit.ai 于 2023 年 1 月筹集了 490 万美元资金，用于开发完全自主的 AI医疗图像并拓展新地区的市场。因此，全球人工智慧主导的新兴企业数量不断增加，以及用于开发完全自主的人工智慧医学影像处理工具的资金筹措不断增加，正在推动市场成长。

医学影像处理中的人工智慧成本不断增加

市场成长受到医学影像样本和其他诊断多种疾病的设备中使用的各种人工智慧技术成本高昂的限制。目前，低度开发国家和开发中国家的大多数医院和研究机构无法承担医学影像处理人工智慧研究的高额成本。因此，这些要素阻碍了市场的成长。

在医疗保健领域实施基于人工智慧的电脑视觉模型

先进的人工智慧工具和技术预计将在未来年度彻底改变医疗保健和放射行业。目前涉足医疗影像处理产业AI的企业预测，AI在医疗领域尤其是放射科领域的引进，将带来广泛的机会。此外，扫描数量的增加与能够读取资料的放射科医生数量之间的差距日益扩大，是促进人工智慧在医学影像处理市场中采用的一个主要要素。

安全问题和严格的法规

资料外洩和诈欺存取患者资料可能会阻碍人工智慧在医学影像行业的普及。对于市场参与企业来说，平衡资料可近性和隐私性是很困难的。此外，使用人工智慧进行医学影像处理需要遵守法规和法律要求。用于医疗用途的人工智慧演算法的开发和应用必须遵循管理机构和医疗设备主管机关制定的严格法规。这些方面都限制了市场的拓展。

COVID-19 的影响：

COVID-19大流行对全球几乎所有行业都产生了重大影响，医疗保健除外。医疗保健领域开发人工智慧解决方案的主要领域是医学影像处理。由于 COVID-19 在感染疾病和肺部疾病影像中的广泛使用，许多医院放射科的使用量显着增加。疫情与对技术和数数位解决方案的需求增加之间存在很强的相关性。从中长期来看，COVID-19 技术的影响可能非常正面。

预计 X 光部分在预测期内将是最大的

预计 X 光领域在预测期内将占据最大的市场占有率。由于其高精度，X 射线模式对人工智慧的需求不断增加。 X光影像与AR和VR技术的整合为放射科医生提供了身临其境型的互动体验。医疗保健专业人员现在可以查看三维 X 光影像，迭加解剖细节，甚至模拟术前计画的程序。此外，这些工具有助于更准确的解释、提高空间理解并加速片段进展。

乳房筛检领域预计在预测期内年复合成长率最高

在预测期内，乳房筛检领域预计将以最高成长率扩大。乳房筛检的需求是由于乳癌患者数量不断增加以及患者希望早期诊断以帮助他们尽快接受适当的治疗而推动的。此外，政府支持临床解读和扩大乳癌筛检技术的配合措施是预计推动细分市场扩张的两个关键因素。

占比最大的地区：

由于技术先进的基础设施和高人均收入，预计北美将在 2022 年占据市场主导地位，并在预测期内继续占据主导地位。医疗影像处理市场中的人工智慧是由该地区众多市场参与者和有利的政府法规所推动的。该地区的研究和医疗机构也在人工智慧方面进行了大量投资。此外，主要行业参与者的强大影响力和蓬勃发展的医疗基础设施正在推动该地区的成长。

复合年复合成长率最高的地区：

由于最尖端科技的普及、网路连接的改善以及政府配合措施的增加，预计亚太地区将呈现最高的成长率。投资的急剧增加、越来越多的新兴企业使用人工智慧(AI)（尤其是在中国和印度）以及人工智慧透过提高图像品质来缩小该地区医疗基础设施差距的巨大潜力都是进一步的推动因素。我是。这些技术还具有很高的临床价值，推动市场成长。

免费客製化服务：

订阅此报告的客户可以存取以下免费自订选项之一：

  • 公司简介
    • 其他市场参与者的综合分析（最多 3 家公司）
    • 主要企业SWOT分析（最多3家企业）
  • 区域分割
    • 根据客户兴趣对主要国家的市场估计、预测和年复合成长率（註：基于可行性检查）
  • 竞争基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第1章执行摘要

第2章前言

  • 概述
  • 利害关係人
  • 调查范围
  • 调查方法
    • 资料探勘
    • 资料分析
    • 资料检验
    • 研究途径
  • 调查来源
    • 主要调查来源
    • 二次调查来源
    • 先决条件

第3章市场趋势分析

  • 促进因素
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 应用分析
  • 最终用户分析
  • 新型冠状病毒感染疾病（COVID-19）的影响

第4章波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代的威胁
  • 新进入者的威胁
  • 竞争公司之间的敌对关係

第5章全球人工智慧（AI）在医学影像市场：依部署模式

  • 本地
  • 云端基础

第6章全球人工智慧（AI）在医疗图像市场：按解决方案

  • 软体工具/平台
  • 服务
    • 整合
    • 介绍

第7章全球人工智慧（AI）医疗图像市场：依技术分类

  • 深度学习
  • 自然语言处理（NLP）
  • 其他技术

第8章全球人工智慧（AI）医疗图像市场：按影像模式

  • 电脑断层扫描 (CT) 扫描
  • 磁振造影(MRI)
  • 分子影像
  • 核子造影
  • 超音波影像诊断
  • X射线
  • 其他成像模式

第9章全球人工智慧（AI）在医疗图像市场的应用：按应用分类

  • 神经病学
  • 呼吸系统和肺部
  • 心臟病学
  • 乳癌筛检
  • 病理
  • 口腔诊断
  • 整形外科
  • 其他用途

第10章全球医疗图像市场人工智慧 (AI)：按最终用户分类

  • 诊所
  • 影像诊断中心
  • 医院
  • 调查
  • 其他最终用户

第11章全球人工智慧（AI）医疗图像市场：按地区

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲

第12章进展

  • 合约、伙伴关係、协作和合资企业
  • 收购和合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第13章公司简介

  • 1QB Information Technology
  • Agfa-Gevaert Group
  • Arterys Inc
  • AZmed
  • BenevolentAI
  • BioXcel Therapeutics Inc
  • Butterfly Network
  • Caption Health
  • CellmatiQ
  • dentalXrai
  • Digital Diagnostics
  • EchoNous
  • Enlitic, Inc
  • GE Healthcare
  • Gleamer
  • HeartVista
  • IBM Watson Health
  • K Health
  • Koninklijke Philips
  • mPulse Mobile
  • Nanox Imaging
  • OrCam
  • Owkin Inc.
  • Siemens Healthineers AG
  • Suki AI, Inc
  • Ultromics
  • Viz.ai, Inc
  • ZealthLife technologies Pte. Ltd
  • Zebra Medical Vision
Product Code: SMRC23931

According to Stratistics MRC, the Global Artificial Intelligence (AI) in Medical Imaging Market is accounted for $1.77 billion in 2023 and is expected to reach $10.25 billion by 2030 growing at a CAGR of 28.5% during the forecast period. Artificial intelligence (AI) in medical imaging refers to the application of AI techniques to a variety of imaging modalities, including ultrasound, computed tomography (CT), magnetic resonance imaging (MRI), and X-rays, to improve and automate the processing of medical images. It involves analyzing and extracting significant information from medical images using sophisticated algorithms and machine learning models in order to aid in the recognition, diagnosis, and treatment of a variety of illnesses and ailments.

According to the American Cancer Society, a total of 236,740 new cases of lung and bronchus cancer are estimated this year in the United States.

Market Dynamics:

Driver:

Increase in AI-Powered medical imaging start-ups

The market for medical imaging is being driven by AI in the current scenario. This is because the software gives doctors a benefit by making it possible for them to diagnose illnesses much more quickly and enable earlier intervention. Additionally, new AI-driven start-ups are putting an emphasis on and adding sophisticated features to AI medical imaging solutions. To advance AI in medical imaging, it is also necessary to increase funding and investment in the field. For instance, Lithuania's oxipit.ai raised USD 4.9 million in funding in January 2023 to develop fully autonomous AI medical imaging and broaden the market in new regions. Thus, market growth is being driven by the rising number of AI-driven start-ups globally and the rising funding for the development of fully autonomous AI medical imaging tools.

Restraint:

Increasing cost of AI in medical imaging

The market's growth is constrained by the high cost of various artificial intelligence techniques used in medical imaging samples and other equipment for diagnosing many diseases. The majority of hospitals and research institutions in underdeveloped and developing nations are currently unable to afford the higher costs associated with the R&D of artificial intelligence in medical imaging. These factors thus inhibit market growth.

Opportunity:

Implementation of AI-based computer vision models in healthcare

In the upcoming years, it is anticipated that advanced AI tools and technology will significantly change the healthcare and radiology industries. Companies involved in the current AI in the medical imaging industry anticipate that the adoption of AI in the medical field, particularly in radiology, will present a wide range of opportunities. Moreover, the growing disparity between the rising number of scans and the number of available radiologists who can read data is a major factor that will aid in the adoption of AI in the medical imaging market.

Threat:

Security concerns and stringent regulations

Data breaches or unauthorized access to patient data could hinder the widespread use of AI in the medical imaging industry. Finding a balance between data accessibility and privacy will be difficult for market participants. Additionally, AI must adhere to rules and legal requirements before it can be used in medical imaging. Strict regulations, such as those set forth by governing bodies and medical device authorities, must be followed in the development and application of AI algorithms for medical applications. Such aspects limit the market from expanding.

COVID-19 Impact:

The COVID-19 pandemic has had a significant impact on nearly every industry worldwide, with the exception of healthcare. The primary area in the healthcare sector where AI-enabled solutions are being developed is medical imaging. Due to the widespread use of COVID-19 for imaging infectious and lung diseases, radiology has seen a significant increase in use in many hospitals. A strong correlation exists between the pandemic and the increased demand for technology and digital solutions. The impact of COVID-19 technology could be very positive in the medium to long term.

The X-rays segment is expected to be the largest during the forecast period

During the forecast period, the X-ray segment is anticipated to hold the largest market share. The demand for AI in X-ray modalities has increased due to its high accuracy. Radiologists can now experience immersive and interactive experiences thanks to the integration of AR and VR technologies with X-ray imaging. X-ray images can now be seen in three dimensions by medical professionals, who can also overlay anatomical details or simulate procedures for preoperative planning. Moreover, these tools can facilitate more accurate interpretations and improve spatial comprehension, which would accelerate segment progression.

The breast screening segment is expected to have the highest CAGR during the forecast period

It is anticipated that during the forecast period, the breast screening segment will expand at the highest rate. The demand for breast screening is being driven by the increase in breast cancer cases and patients' desires for an early-stage diagnosis, which aids in receiving the proper treatment as soon as possible. Furthermore, government initiatives that support clinical interpretation and expanded access to breast cancer screening technologies are two additional major factors that are anticipated to fuel segment expansion.

Region with largest share:

Due to the technologically sophisticated infrastructure and high per capita income, North America dominated the market in 2022 and is predicted to dominate over the forecast period. The market for AI in medical imaging is being driven by the presence of numerous market players and favorable government regulations in the area. In addition, the region's research organizations and healthcare institutions are making significant investments in AI. Furthermore, a strong presence of major industry players and a thriving healthcare infrastructure are fostering regional growth in this region.

Region with highest CAGR:

Due to the widespread adoption of cutting-edge technologies, improved network connectivity, and expanded government initiatives, Asia Pacific is anticipated to experience the highest growth rate. The exponential growth in investment, the rise in artificial intelligence (AI)-using startups, particularly in China and India, and the enormous potential for AI to close the region's healthcare infrastructure gap by enhancing image quality are additional motivating factors. These technologies also have a high clinical value, which is promoting market growth.

Key players in the market:

Some of the key players in Artificial Intelligence (AI) in Medical Imaging market include: 1QB Information Technology, Agfa-Gevaert Group, Arterys Inc, AZmed, BenevolentAI, BioXcel, Therapeutics Inc, Butterfly Network, Caption Health, CellmatiQ, dentalXrai, Digital Diagnostics, EchoNous, Enlitic, Inc, GE Healthcare, Gleamer, HeartVista, IBM Watson Health, K Health, Koninklijke Philips, mPulse Mobile, Nanox Imaging, OrCam, Owkin Inc., Siemens Healthineers AG, Suki AI, Inc, Ultromics, Viz.ai, Inc, ZealthLife technologies Pte. Ltd and Zebra Medical Vision.

Key Developments:

In October 2023, BioXcel Therapeutics, Inc., a biopharmaceutical company utilizing artificial intelligence approaches to develop transformative medicines in neuroscience, today provided an update on recent developments with its late-stage clinical programs as well as its patent portfolio for IGALMI™ (dexmedetomidine) sublingual film. These developments include meetings scheduled with the U.S. Food and Drug Administration (FDA) to discuss the TRANQUILITY and SERENITY III clinical programs and the receipt of two Notices of Allowance (NOAs) from the U.S. Patent and Trademark Office to extend method of use patent protection for sublingual dexmedetomidine.

In August 2023, Butterfly Network, Inc. a digital health company transforming care through the power of portable, semiconductor-based ultrasound technology and intuitive software, announced the release of its software development kit (SDK) for use by third parties. The kit will allow developers to utilize Butterfly's platform to build custom applications that can be commercialized to Butterfly's customer base - the largest user network in handheld point-of-care ultrasound.1 The Company ultimately plans to open "Butterfly Garden," an AI Marketplace where new apps will be hosted for Butterfly users to discover and purchase the latest AI capabilities.

In April 2023, AGFA HealthCare, a leading provider of Enterprise Imaging solutions, is proud to announce that it has joined the Amazon Web Services (AWS) Partner Network (APN) to scale up the global availability of AGFA Enterprise Imaging (AGFA EI) VNA and XERO® Universal Viewer on the cloud. The APN is a global community of AWS Partners that leverage programs, expertise, and resources to build, market, and sell customer offerings.

Deployment Modes Covered:

  • On-Premise
  • Cloud Based

Solutions Covered:

  • Software Tools/ Platform
  • Services

Technologies Covered:

  • Deep Learning
  • Natural Language Processing (NLP)
  • Other Technologies

Imaging Modes Covered:

  • Computed tomography (CT) Scan
  • Magnetic Resonance Imaging (MRI)
  • Molecular Imaging
  • Nuclear Imaging
  • Ultrasound Imaging
  • X-rays
  • Other Imaging Modes

Applications Covered:

  • Neurology
  • Respiratory and Pulmonary
  • Cardiology
  • Breast Screening
  • Pathology
  • Oral Diagnostics
  • Orthopedics
  • Other Applications

End Users Covered:

  • Clinics
  • Diagnostic Imaging Centers
  • Hospitals
  • Introduction
  • Research Laboratories
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2021, 2022, 2023, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Artificial Intelligence (AI) in Medical Imaging Market, By Deployment Mode

  • 5.1 Introduction
  • 5.2 On-Premise
  • 5.3 Cloud Based

6 Global Artificial Intelligence (AI) in Medical Imaging Market, By Solution

  • 6.1 Introduction
  • 6.2 Software Tools/ Platform
  • 6.3 Services
    • 6.3.1 Integration
    • 6.3.2 Deployment

7 Global Artificial Intelligence (AI) in Medical Imaging Market, By Technology

  • 7.1 Introduction
  • 7.2 Deep Learning
  • 7.3 Natural Language Processing (NLP)
  • 7.4 Other Technologies

8 Global Artificial Intelligence (AI) in Medical Imaging Market, By Imaging Mode

  • 8.1 Introduction
  • 8.2 Computed tomography (CT) Scan
  • 8.3 Magnetic Resonance Imaging (MRI)
  • 8.4 Molecular Imaging
  • 8.5 Nuclear Imaging
  • 8.6 Ultrasound Imaging
  • 8.7 X-rays
  • 8.8 Other Imaging Modes

9 Global Artificial Intelligence (AI) in Medical Imaging Market, By Application

  • 9.1 Introduction
  • 9.2 Neurology
  • 9.3 Respiratory and Pulmonary
  • 9.4 Cardiology
  • 9.5 Breast Screening
  • 9.6 Pathology
  • 9.7 Oral Diagnostics
  • 9.8 Orthopedics
  • 9.9 Other Applications

10 Global Artificial Intelligence (AI) in Medical Imaging Market, By End User

  • 10.1 Introduction
  • 10.2 Clinics
  • 10.3 Diagnostic Imaging Centers
  • 10.4 Hospitals
  • 10.5 Introduction
  • 10.6 Research Laboratories
  • 10.7 Other End Users

11 Global Artificial Intelligence (AI) in Medical Imaging Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 1QB Information Technology
  • 13.2 Agfa-Gevaert Group
  • 13.3 Arterys Inc
  • 13.4 AZmed
  • 13.5 BenevolentAI
  • 13.6 BioXcel Therapeutics Inc
  • 13.7 Butterfly Network
  • 13.8 Caption Health
  • 13.9 CellmatiQ
  • 13.10 dentalXrai
  • 13.11 Digital Diagnostics
  • 13.12 EchoNous
  • 13.13 Enlitic, Inc
  • 13.14 GE Healthcare
  • 13.15 Gleamer
  • 13.16 HeartVista
  • 13.17 IBM Watson Health
  • 13.18 K Health
  • 13.19 Koninklijke Philips
  • 13.20 mPulse Mobile
  • 13.21 Nanox Imaging
  • 13.22 OrCam
  • 13.23 Owkin Inc.
  • 13.24 Siemens Healthineers AG
  • 13.25 Suki AI, Inc
  • 13.26 Ultromics
  • 13.27 Viz.ai, Inc
  • 13.28 ZealthLife technologies Pte. Ltd
  • 13.29 Zebra Medical Vision

List of Tables

  • Table 1 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Region (2021-2030) ($MN)
  • Table 2 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Deployment Mode (2021-2030) ($MN)
  • Table 3 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By On-Premise (2021-2030) ($MN)
  • Table 4 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Cloud Based (2021-2030) ($MN)
  • Table 5 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Solution (2021-2030) ($MN)
  • Table 6 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Software Tools/ Platform (2021-2030) ($MN)
  • Table 7 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Services (2021-2030) ($MN)
  • Table 8 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Integration (2021-2030) ($MN)
  • Table 9 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Deployment (2021-2030) ($MN)
  • Table 10 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Technology (2021-2030) ($MN)
  • Table 11 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Deep Learning (2021-2030) ($MN)
  • Table 12 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Natural Language Processing (NLP) (2021-2030) ($MN)
  • Table 13 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Other Technologies (2021-2030) ($MN)
  • Table 14 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Imaging Mode (2021-2030) ($MN)
  • Table 15 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Computed tomography (CT) Scan (2021-2030) ($MN)
  • Table 16 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Magnetic Resonance Imaging (MRI) (2021-2030) ($MN)
  • Table 17 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Molecular Imaging (2021-2030) ($MN)
  • Table 18 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Nuclear Imaging (2021-2030) ($MN)
  • Table 19 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Ultrasound Imaging (2021-2030) ($MN)
  • Table 20 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By X-rays (2021-2030) ($MN)
  • Table 21 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Other Imaging Modes (2021-2030) ($MN)
  • Table 22 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Application (2021-2030) ($MN)
  • Table 23 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Neurology (2021-2030) ($MN)
  • Table 24 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Respiratory and Pulmonary (2021-2030) ($MN)
  • Table 25 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Cardiology (2021-2030) ($MN)
  • Table 26 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Breast Screening (2021-2030) ($MN)
  • Table 27 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Pathology (2021-2030) ($MN)
  • Table 28 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Oral Diagnostics (2021-2030) ($MN)
  • Table 29 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Orthopedics (2021-2030) ($MN)
  • Table 30 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Other Applications (2021-2030) ($MN)
  • Table 31 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By End User (2021-2030) ($MN)
  • Table 32 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Clinics (2021-2030) ($MN)
  • Table 33 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Diagnostic Imaging Centers (2021-2030) ($MN)
  • Table 34 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Hospitals (2021-2030) ($MN)
  • Table 35 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Introduction (2021-2030) ($MN)
  • Table 36 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Research Laboratories (2021-2030) ($MN)
  • Table 37 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Other End Users (2021-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.