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市場調查報告書
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1371875

到 2030 年醫療影像影像市場預測：按部署模式、解決方案、技術、影像模式、用途、最終用戶和地區進行的全球分析

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個工作天內

價格

根據Stratistics MRC預測，2023年全球醫療影像診斷領域人工智慧（AI）市場規模將達到17.7億美元，預測期內年複合成長率為28.5%，到2030年將達到102.5億美元。預計將達到。

醫學影像處理中的人工智慧（AI）是指將人工智慧技術應用於各種顯像模式，例如超音波、電腦斷層掃描（CT）、磁振造影（MRI）和X光，以改善醫學影像的處理. - 指自動化。使用先進的演算法和機器學習模型從醫學影像中分析和提取重要資訊，以幫助識別、診斷和治療各種疾病和狀況。

根據美國癌症協會總合，今年美國將新增 236,740 例肺癌和支氣管癌罹患。

基於人工智慧的醫學影像處理新興企業數量增加

目前的醫學影像處理市場是由人工智慧驅動的。這是因為該軟體的好處是可以讓醫生更快診斷疾病並提供早期療育。此外，新的人工智慧主導新興企業正在專注於人工智慧醫療影像解決方案並添加複雜的功能。推進醫學影像處理領域的人工智慧還需要增加該領域的資金和投資。例如，立陶宛的 oxipit.ai 於 2023 年 1 月籌集了 490 萬美元資金，用於開發完全自主的 AI醫療圖像並拓展新地區的市場。因此，全球人工智慧主導的新興企業數量不斷增加，以及用於開發完全自主的人工智慧醫學影像處理工具的資金籌措不斷增加，正在推動市場成長。

醫學影像處理中的人工智慧成本不斷增加

市場成長受到醫學影像樣本和其他診斷多種疾病的設備中使用的各種人工智慧技術成本高昂的限制。目前，低度開發國家和開發中國家的大多數醫院和研究機構無法承擔醫學影像處理人工智慧研究的高額成本。因此，這些要素阻礙了市場的成長。

在醫療保健領域實施基於人工智慧的電腦視覺模型

先進的人工智慧工具和技術預計將在未來年度徹底改變醫療保健和放射行業。目前涉足醫療影像處理產業AI的企業預測，AI在醫療領域尤其是放射科領域的引進，將帶來廣泛的機會。此外，掃描數量的增加與能夠讀取資料的放射科醫生數量之間的差距日益擴大，是促進人工智慧在醫學影像處理市場中採用的一個主要要素。

安全問題和嚴格的法規

資料外洩和詐欺存取患者資料可能會阻礙人工智慧在醫學影像行業的普及。對於市場參與企業來說，平衡資料可近性和隱私性是很困難的。此外，使用人工智慧進行醫學影像處理需要遵守法規和法律要求。用於醫療用途的人工智慧演算法的開發和應用必須遵循管理機構和醫療設備主管機關制定的嚴格法規。這些方面都限制了市場的拓展。

COVID-19 的影響：

COVID-19大流行對全球幾乎所有行業都產生了重大影響，醫療保健除外。醫療保健領域開發人工智慧解決方案的主要領域是醫學影像處理。由於 COVID-19 在感染疾病和肺部疾病影像中的廣泛使用，許多醫院放射科的使用量顯著增加。疫情與對技術和數位解決方案的需求增加之間存在很強的相關性。從中長期來看，COVID-19 技術的影響可能非常正面。

預計 X 光部分在預測期內將是最大的

預計 X 光領域在預測期內將佔據最大的市場佔有率。由於其高精度，X光模式對人工智慧的需求不斷增加。 X光影像與AR和VR技術的整合為放射科醫生提供了身臨其境型的互動體驗。醫療保健專業人員現在可以查看3D X 光影像，疊加解剖細節，甚至模擬術前計畫的程序。此外，這些工具有助於更準確的解釋、提高空間理解並加速片段進展。

乳房篩檢領域預計在預測期內年複合成長率最高

在預測期內，乳房篩檢領域預計將以最高成長率擴大。乳房篩檢的需求是由於乳癌患者數量不斷增加以及患者希望早期診斷以幫助他們盡快接受適當的治療而推動的。此外，政府支持臨床解讀和擴大乳癌篩檢技術的配合措施是預計推動細分市場擴張的兩個關鍵因素。

佔比最大的地區：

由於技術先進的基礎設施和高人均收入，預計北美將在 2022 年佔據市場主導地位，並在預測期內繼續佔據主導地位。醫療影像處理市場中的人工智慧是由該地區眾多市場參與者和有利的政府法規所推動的。該地區的研究和醫療機構也在人工智慧方面進行了大量投資。此外，主要行業參與者的強大影響力和蓬勃發展的醫療基礎設施正在推動該地區的成長。

複合年複合成長率最高的地區：

由於最尖端科技的普及、網路連接的改善以及政府配合措施的增加，預計亞太地區將呈現最高的成長率。投資的急劇增加、越來越多的新興企業使用人工智慧(AI)（尤其是在中國和印度）以及人工智慧透過提高圖像品質來縮小該地區醫療基礎設施差距的巨大潛力都是進一步的推動因素。這些技術還具有很高的臨床價值，推動市場成長。

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目錄

第1章 執行摘要

第2章 前言

  • 概述
  • 利害關係人
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 調查來源
    • 主要調查來源
    • 二次調查來源
    • 先決條件

第3章 市場趨勢分析

  • 促進因素
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 最終用戶分析
  • 新型冠狀病毒感染疾病（COVID-19）的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代的威脅
  • 新進入者的威脅
  • 競爭公司之間的敵對關係

第5章 全球人工智慧（AI）在醫學影像市場：依部署模式

  • 本地
  • 雲端基礎

第6章 全球人工智慧（AI）在醫療圖像市場：按解決方案

  • 軟體工具/平台
  • 服務
    • 整合
    • 介紹

第7章 全球人工智慧（AI）醫療圖像市場：依技術分類

  • 深度學習
  • 自然語言處理（NLP）
  • 其他技術

第8章 全球人工智慧（AI）醫療圖像市場：按影像模式

  • 電腦斷層掃描 (CT) 掃描
  • 磁振造影(MRI)
  • 分子影像
  • 核子造影
  • 超音波影像診斷
  • X光
  • 其他成像模式

第9章 全球人工智慧（AI）在醫療圖像市場的應用：按應用分類

  • 神經病學
  • 呼吸系統和肺部
  • 心臟病學
  • 乳癌篩檢
  • 病理
  • 口腔診斷
  • 整形外科
  • 其他用途

第10章 全球醫療圖像市場人工智慧 (AI)：按最終用戶分類

  • 診所
  • 影像診斷中心
  • 醫院
  • 調查
  • 其他最終用戶

第11章全球人工智慧（AI）醫療圖像市場：按地區

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲

第12章進展

  • 合約、夥伴關係、協作和合資企業
  • 收購和合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第13章公司簡介

  • 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.