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市场调查报告书
商品编码
1371924

到 2030 年人工智慧诊断市场预测：按组件、技术、诊断类型、模式、最终用户和地区进行的全球分析

Artificial Intelligence in Diagnostics Market Forecasts to 2030 - Global Analysis By Component (Services, Software and Hardware), Technology, Diagnosis Type, Modality, 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 的数据，2023 年全球诊断人工智慧市场规模为 10.1 亿美元，预计到 2030 年将达到 52.7 亿美元，预测期内年复合成长率为 26.6%。

在医疗诊断领域，人工智慧（AI）有潜力帮助医疗保健专业人员为患者做出正确、及时的治疗决策，从而使医疗保健变得更加便利和经济，是一项强大的技术。正确诊断疾病的过程非常耗时，并且需要多年的医学训练。人工智慧在医疗诊断中的应用已被证明可以提高医生的临床判断并做出正确的诊断。

根据 Health IT Analytics 报导，2017 年 5 月，凯斯西储大学的研究人员使用深度学习网路（一种人工智慧）来正确识别病理照片中的乳癌。

管理大量复杂资料的需求日益增长

由于医疗保健行业越来越多地使用数位化和资讯技术，医疗服务过程的各个阶段都在产生巨量资料。医疗保健产业依靠各种基于人工智慧的解决方案来管理不断扩大的数量和复杂性的医疗诊断资料。此外，在预测期内，由于使用互动式患者门户网站，允许患者向 EMRS 提供资料和影像，医疗诊断中的巨量资料量预计将增加。

预算限制

医疗保健公司面临的主要障碍是资金，特别是在开发中国家，很难将 IT 资金优先于医疗设备。限制市场成长的主要障碍是影像处理技术的高成本以及人工智慧软体的实施和授权费用。此外，最终用户常因实施和订阅成本而承受经济负担。由于财政资源有限，较小的医疗机构无法负担这些解决方案。预计这将对市场扩张产生负面影响。

提高诊断效果和效率

人工智慧演算法可以分析大量患者资料。人工智慧有潜力显着提高诊断准确性，而这对人类观察者来说是困难的。它还可以有效地处理和分析病理切片、诊断资料和医学照片，以便更快、更准确地进行解释。透过整合用户输入和经验资料，人工智慧系统还可以更新和增强其演算法，以提高效能并跟上不断发展的医学知识的步伐。这些变数应该会在预测期内推动市场扩张。

维护/购买成本

市场采购成本高，其次是维护和资本支出价格高。医院和其他知名金融机构是市场的重要投资者。与开发和部署基于人工智慧的产品相关的大部分成本由私人消费者直接承担，因为政府对这些活动的投资很少。此外，基于人工智慧的系统的典型维修和维护成本可能相当昂贵。为了考虑这些成本并跟上不断变化的场景，这些系统需要不断改进。

COVID-19 的影响：

COVID-19 的疫情对全球医疗保健产业产生了负面影响。感染人数激增，对世界医疗系统带来巨大压力。因此，心胸乳房摄影筛检越来越多地用作评估疾病严重程度的诊断工具。许多研究都集中在利用人工智慧透过胸部 CT 扫描进行诊断。疫情期间，人工智慧胸部放射解决方案的创建以及基于人工智慧的技术进行远端医疗的使用大幅增加。

软体部分预计将在预测期内成为最大的部分

预计软体领域将在预测期内成为最大的领域。在医疗保健领域开发基于人工智慧的诊断软体以提高测试准确性，使该软体成为行业领导者。在软体领域，人工智慧平台和人工智慧解决方案正在研究中。推动该市场成长的主要要素之一是对云端基础的人工智慧增强诊断解决方案的需求不断增长，这些解决方案有助于在评估患者的医疗照片时提高诊断准确性。

领域预计在预测期内具有最高的年复合成长率

预计神经病学领域在预测期内的年复合成长率最高。癫痫、阿兹海默症、帕金森氏症等多种神经系统疾病的盛行率不断患病，以及高龄化，增加了对准确诊断的需求，对市场成长产生了积极影响。此外，基于人工智慧的神经诊断替代不仅可以提高放射科医生的效率和临床判断，还可以提高精确度和准确性。神经科技术的普及推动了神经病学的进步。

比最大的地区

预计北美在预测期内将占据最大的市场占有率。这项发展的推动配合措施包括成熟的医疗保健 IT 基础设施、持续的技术进步、数位素养的提高、新兴企业、不断增加的资金筹措来源以及该地区的关键要素有很多，包括玩家。此外，降低测试成本、改善患者照护和减少设备停机时间的需求正在推动人工智慧在诊断中的应用不断增长。

复合年复合成长率最高的地区：

预计亚太地区在预测期内将维持最高的年复合成长率。由于政府和私人的倡议，基于人工智慧的诊断越来越受欢迎。新创企业、知名度和投资正在推动当地工业的扩张。高龄化、急慢性疾病预计将推动市场扩张。此外，不断扩大的患者群、流行病、云端运算和政府人工智慧计画预计也会影响该产业。

提供免费客製化：

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
  • 最终用户分析
  • 新兴市场
  • 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章诊断市场中的全球人工智慧：按组成部分

  • 服务
  • 软体
  • 硬体

第6章诊断市场中的全球人工智慧：按技术分类

  • 情境感知计算
  • 电脑视觉
  • 机器学习
  • 自然语言处理（NLP）
  • 其他技术

第7章诊断市场中的全球人工智慧：按诊断类型

  • 胸部和肺部
  • 病理
  • 神经病学
  • 肿瘤学
  • 放射科
  • 心臟病学
  • 其他诊断类型
    • 眼科
    • 皮肤科
    • 外科病理学
    • 肾臟病学
    • 肝病学
    • 牙科
    • 整形外科
    • 内分泌学

第8章诊断市场中的全球人工智慧：按模式

  • X射线
  • 超音波
  • CT扫描
  • MRI
  • 其他方式
    • 正子断层扫描
    • 视网膜光学成像
    • 心电图
    • 数位影像

第9章诊断市场中的全球人工智慧：按最终用户分类

  • 影像诊断中心
  • 医院
  • 其他最终用户
    • 诊所
    • 门诊治疗中心
    • 学术研究中心
    • 临床研究组织

第10章全球人工智慧诊断市场：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11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12章公司简介

  • GE Healthcare
  • Siemens Healthineers AG
  • Riverain Technologies
  • NANO-X IMAGING LTD
  • Aidoc Medical Ltd.
  • Metropolis Healthcare Limited
  • Qritive
  • Koninklijke Philips NV
  • Agfa-Gevaert Group
  • HeartFlow, Inc.
  • Arterys Inc.
  • Aidoc Medical Ltd.
  • International Business Machines Corporationc
  • AliveCor, Inc.
  • Imagen Technologies
  • Agfa-Gevaert Group
  • HeartFlow, Inc.
Product Code: SMRC23981

According to Stratistics MRC, the Global Artificial Intelligence in Diagnostics Market is accounted for $1.01 billion in 2023 and is expected to reach $5.27 billion by 2030 growing at a CAGR of 26.6% during the forecast period. In medical diagnostics, artificial intelligence (AI) is a powerful technology with the potential to make healthcare more accessible and economical by supporting healthcare practitioners in making correct and timely treatment decisions for their patients. The process of correctly diagnosing an illness is time-consuming and requires years of medical training. It has been demonstrated that using AI to medical diagnosis improves clinical judgment in doctors and provides correct diagnoses.

According to Health IT Analytics, Case Western Reserve University researchers used a deep learning network, a type of AI, in May 2017 to correctly identify breast cancer in pathology photographs.

Market Dynamics:

Driver:

Growing need to manage massive and complex data

Big data is generated at various stages of the care delivery process as a result of the growing digitalization and information technology utilization in the healthcare industry. The healthcare industry is using a variety of Al-based solutions to manage the huge and complicated medical diagnostics data that is constantly expanding. Additionally, it is anticipated that during the course of the projection period, the use of bidirectional patient portals-which enable patients to contribute data and pictures to their EMRS-would increase the volume of big data in medical diagnostics.

Restraint:

Budgetary constraints

The main obstacle facing healthcare companies is money, particularly in developing nations where it is difficult to prioritize IT funds above medical equipment. The primary obstacles limiting market growth are the high cost of imaging technology and the implementation and licensing fees of AI software. Additionally, end users are often burdened financially by implementation and subscription fees. Small healthcare institutions cannot afford these solutions due to their limited financial resources. This is thus anticipated to have a detrimental effect on market expansion.

Opportunity:

Improved diagnostic effectiveness and efficiency

AI algorithms are capable of analyzing large amounts of patient data. AI may significantly improve diagnostic accuracy that can be difficult for human observers to pick up on. These can also process and analyze pathology slides, diagnostic data, and medical pictures efficiently, enabling speedier and more accurate interpretation. By incorporating user input and empirical data, AI systems may also update and enhance their algorithms to enhance performance and keep up with evolving medical knowledge. Over the course of the projection period, these variables should foster market expansion.

Threat:

Maintenance and purchase expenses

The market has high procurement costs, which are followed by high maintenance and capital expenditure prices. Hospitals and other established financial entities are significant market investors. The majority of costs associated with creating and adopting AI-based products are covered directly by private consumers due to poor government investment on these activities. Additionally, an AI-based system's typical repair or maintenance might be quite costly. To stay current with evolving scenarios including such expenses, these systems require ongoing improvements.

COVID-19 Impact:

The COVID-19 pandemic epidemic had a negative impact on the worldwide healthcare industry. The number of infected individuals soared, placing a tremendous strain on the global health system. As a result, cardiothoracic imaging is frequently used as a diagnostic tool to assess the disease's severity. Numerous research concentrated on utilizing AI to diagnose from chest CT scans. During the pandemic, there was a considerable rise in the creation of AI chest radiology solutions and the use of AI-based technology for remote treatment.

The software segment is expected to be the largest during the forecast period

The software segment is expected to be the largest during the forecast period. Due to the development of AI-based software for diagnosis in healthcare to improve test precision, software has become the industry leader. AI Platforms and AI Solutions are investigated in the software sector. One of the main factors driving the growth of this market is the increasing demand for cloud-based, AI-powered augmented diagnostic solutions that aid in improving diagnostic accuracy when evaluating a patient's medical photos.

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

The neurology segment is expected to have the highest CAGR during the forecast period. A rise in the prevalence of several neurological disorders, such as epilepsy, Alzheimer's disease, and Parkinson's disease, as well as an aging population are driving up the need for precise diagnosis and favorably influencing market growth. Additionally, AI-based neurology diagnostic alternatives improve the efficiency and clinical judgment of the radiologist as well as precision and accuracy. The advancement of neurological departments has been facilitated by the widespread use of AI-enabled technologies.

Region with largest share:

North America is projected to hold the largest market share during the forecast period. This development was attributed to a number of factors, including the presence of a well-established healthcare IT infrastructure, continued technology advancements, increasing digital literacy, the formation of startups, supporting government efforts, increased financing sources, and key players in the area. Additionally, the demand for reducing test costs, improving patient care, and reducing equipment downtime is driving an increase in the application of AI in diagnostics.

Region with highest CAGR:

Asia Pacific is projected to hold the highest CAGR over the forecast period. The popularity of AI-based diagnostics is rising as a result of both governmental and private initiatives. Startups, visibility, and investment foster the expansion of local industries. Aging populations and acute and chronic diseases are anticipated to drive market expansion. Additionally, it is anticipated that the expanding patient pool, pandemic, cloud computing, and government AI initiatives would influence the industry.

Key players in the market:

Some of the key players in Artificial Intelligence in Diagnostics Market include: GE Healthcare, Siemens Healthineers AG, Riverain Technologies, NANO-X IMAGING LTD, Aidoc Medical Ltd., Metropolis Healthcare Limited, Qritive, Koninklijke Philips N.V., Agfa-Gevaert Group, HeartFlow, Inc., Arterys Inc., Aidoc Medical Ltd., International Business Machines Corporationc, AliveCor, Inc., Imagen Technologies, Agfa-Gevaert Group and HeartFlow, Inc.

Key Developments:

In May 2023, The launch of a cutting-edge testing platform based on Component Resolved Diagnostics (CRD) to identify different types of allergies in India was announced by Metropolis Healthcare Limited. To help clinicians make wise clinical decisions, this 4th generation of allergy testing technology incorporates artificial intelligence. It also offers tremendous insights into choosing and optimizing the course of treatment for a patient's allergic disease.

In March 2023, An enhanced prostate cancer diagnostics tool for pathologists, powered by artificial intelligence (AI), was unveiled by Singapore-based health-tech business Qritive. QAi Prostate can precisely identify prostatic adenocarcinoma regions and classify malignant and benign tumor areas in biopsy tissue samples using cutting-edge machine learning (ML) algorithms.

Components Covered:

  • Services
  • Software
  • Hardware

Technologies Covered:

  • Context-Aware Computing
  • Computer Vision
  • Machine Learning
  • Natural language processing (NLP)
  • Other Technologies

Diagnosis Types Covered:

  • Chest & Lungs
  • Pathology
  • Neurology
  • Oncology
  • Radiology
  • Cardiology
  • Other Diagnosis Types

End Users Covered:

  • Diagnostic Imaging Centers
  • Hospitals
  • 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 End User Analysis
  • 3.8 Emerging Markets
  • 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 in Diagnostics Market, By Component

  • 5.1 Introduction
  • 5.2 Services
  • 5.3 Software
  • 5.4 Hardware

6 Global Artificial Intelligence in Diagnostics Market, By Technology

  • 6.1 Introduction
  • 6.2 Context-Aware Computing
  • 6.3 Computer Vision
  • 6.4 Machine Learning
  • 6.5 Natural language processing (NLP)
  • 6.6 Other Technologies

7 Global Artificial Intelligence in Diagnostics Market, By Diagnosis Type

  • 7.1 Introduction
  • 7.2 Chest & Lungs
  • 7.3 Pathology
  • 7.4 Neurology
  • 7.5 Oncology
  • 7.6 Radiology
  • 7.7 Cardiology
  • 7.8 Other Diagnosis Types
    • 7.8.1 Ophthalmology
    • 7.8.2 Dermatology
    • 7.8.3 Surgical Pathology
    • 7.8.4 Nephrology
    • 7.8.5 Hepatology
    • 7.8.6 Dentistry
    • 7.8.7 Orthopedics
    • 7.8.8 Endocrinology

8 Global Artificial Intelligence in Diagnostics Market, By Modality

  • 8.1 Introduction
  • 8.2 X-ray
  • 8.3 Ultrasound
  • 8.4 CT Scan
  • 8.5 MRI
  • 8.6 Other Modalities
    • 8.6.1 PET scan
    • 8.6.2 Retinal Optical Imaging
    • 8.6.3 ECG
    • 8.6.4 Digital Imaging

9 Global Artificial Intelligence in Diagnostics Market, By End User

  • 9.1 Introduction
  • 9.2 Diagnostic Imaging Centers
  • 9.3 Hospitals
  • 9.4 Other End Users
    • 9.4.1 Clinics
    • 9.4.2 Ambulatory Care Centers
    • 9.4.3 Academic Research Centers
    • 9.4.4 Clinical Research Organizations

10 Global Artificial Intelligence in Diagnostics Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 GE Healthcare
  • 12.2 Siemens Healthineers AG
  • 12.3 Riverain Technologies
  • 12.4 NANO-X IMAGING LTD
  • 12.5 Aidoc Medical Ltd.
  • 12.6 Metropolis Healthcare Limited
  • 12.7 Qritive
  • 12.8 Koninklijke Philips N.V.
  • 12.9 Agfa-Gevaert Group
  • 12.10 HeartFlow, Inc.
  • 12.11 Arterys Inc.
  • 12.12 Aidoc Medical Ltd.
  • 12.13 International Business Machines Corporationc
  • 12.14 AliveCor, Inc.
  • 12.15 Imagen Technologies
  • 12.16 Agfa-Gevaert Group
  • 12.17 HeartFlow, Inc.

List of Tables

  • Table 1 Global Artificial Intelligence in Diagnostics Market Outlook, By Region (2021-2030) ($MN)
  • Table 2 Global Artificial Intelligence in Diagnostics Market Outlook, By Component (2021-2030) ($MN)
  • Table 3 Global Artificial Intelligence in Diagnostics Market Outlook, By Services (2021-2030) ($MN)
  • Table 4 Global Artificial Intelligence in Diagnostics Market Outlook, By Software (2021-2030) ($MN)
  • Table 5 Global Artificial Intelligence in Diagnostics Market Outlook, By Hardware (2021-2030) ($MN)
  • Table 6 Global Artificial Intelligence in Diagnostics Market Outlook, By Technology (2021-2030) ($MN)
  • Table 7 Global Artificial Intelligence in Diagnostics Market Outlook, By Context-Aware Computing (2021-2030) ($MN)
  • Table 8 Global Artificial Intelligence in Diagnostics Market Outlook, By Computer Vision (2021-2030) ($MN)
  • Table 9 Global Artificial Intelligence in Diagnostics Market Outlook, By Machine Learning (2021-2030) ($MN)
  • Table 10 Global Artificial Intelligence in Diagnostics Market Outlook, By Natural language processing (NLP) (2021-2030) ($MN)
  • Table 11 Global Artificial Intelligence in Diagnostics Market Outlook, By Other Technologies (2021-2030) ($MN)
  • Table 12 Global Artificial Intelligence in Diagnostics Market Outlook, By Diagnosis Type (2021-2030) ($MN)
  • Table 13 Global Artificial Intelligence in Diagnostics Market Outlook, By Chest & Lungs (2021-2030) ($MN)
  • Table 14 Global Artificial Intelligence in Diagnostics Market Outlook, By Pathology (2021-2030) ($MN)
  • Table 15 Global Artificial Intelligence in Diagnostics Market Outlook, By Neurology (2021-2030) ($MN)
  • Table 16 Global Artificial Intelligence in Diagnostics Market Outlook, By Oncology (2021-2030) ($MN)
  • Table 17 Global Artificial Intelligence in Diagnostics Market Outlook, By Radiology (2021-2030) ($MN)
  • Table 18 Global Artificial Intelligence in Diagnostics Market Outlook, By Cardiology (2021-2030) ($MN)
  • Table 19 Global Artificial Intelligence in Diagnostics Market Outlook, By Other Diagnosis Types (2021-2030) ($MN)
  • Table 20 Global Artificial Intelligence in Diagnostics Market Outlook, By Ophthalmology (2021-2030) ($MN)
  • Table 21 Global Artificial Intelligence in Diagnostics Market Outlook, By Dermatology (2021-2030) ($MN)
  • Table 22 Global Artificial Intelligence in Diagnostics Market Outlook, By Surgical Pathology (2021-2030) ($MN)
  • Table 23 Global Artificial Intelligence in Diagnostics Market Outlook, By Nephrology (2021-2030) ($MN)
  • Table 24 Global Artificial Intelligence in Diagnostics Market Outlook, By Hepatology (2021-2030) ($MN)
  • Table 25 Global Artificial Intelligence in Diagnostics Market Outlook, By Dentistry (2021-2030) ($MN)
  • Table 26 Global Artificial Intelligence in Diagnostics Market Outlook, By Orthopedics (2021-2030) ($MN)
  • Table 27 Global Artificial Intelligence in Diagnostics Market Outlook, By Endocrinology (2021-2030) ($MN)
  • Table 28 Global Artificial Intelligence in Diagnostics Market Outlook, By Modality (2021-2030) ($MN)
  • Table 29 Global Artificial Intelligence in Diagnostics Market Outlook, By X-ray (2021-2030) ($MN)
  • Table 30 Global Artificial Intelligence in Diagnostics Market Outlook, By Ultrasound (2021-2030) ($MN)
  • Table 31 Global Artificial Intelligence in Diagnostics Market Outlook, By CT Scan (2021-2030) ($MN)
  • Table 32 Global Artificial Intelligence in Diagnostics Market Outlook, By MRI (2021-2030) ($MN)
  • Table 33 Global Artificial Intelligence in Diagnostics Market Outlook, By Other Modalities (2021-2030) ($MN)
  • Table 34 Global Artificial Intelligence in Diagnostics Market Outlook, By PET scan (2021-2030) ($MN)
  • Table 35 Global Artificial Intelligence in Diagnostics Market Outlook, By Retinal Optical Imaging (2021-2030) ($MN)
  • Table 36 Global Artificial Intelligence in Diagnostics Market Outlook, By ECG (2021-2030) ($MN)
  • Table 37 Global Artificial Intelligence in Diagnostics Market Outlook, By Digital Imaging (2021-2030) ($MN)
  • Table 38 Global Artificial Intelligence in Diagnostics Market Outlook, By End User (2021-2030) ($MN)
  • Table 39 Global Artificial Intelligence in Diagnostics Market Outlook, By Diagnostic Imaging Centers (2021-2030) ($MN)
  • Table 40 Global Artificial Intelligence in Diagnostics Market Outlook, By Hospitals (2021-2030) ($MN)
  • Table 41 Global Artificial Intelligence in Diagnostics Market Outlook, By Other End Users (2021-2030) ($MN)
  • Table 42 Global Artificial Intelligence in Diagnostics Market Outlook, By Clinics (2021-2030) ($MN)
  • Table 43 Global Artificial Intelligence in Diagnostics Market Outlook, By Ambulatory Care Centers (2021-2030) ($MN)
  • Table 44 Global Artificial Intelligence in Diagnostics Market Outlook, By Academic Research Centers (2021-2030) ($MN)
  • Table 45 Global Artificial Intelligence in Diagnostics Market Outlook, By Clinical Research Organizations (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.