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市場調查報告書
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1371924

到 2030 年人工智慧診斷市場預測：按組件、技術、診斷類型、模式、最終用戶和地區進行的全球分析

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個工作天內

價格

根據 Stratistics MRC 的數據，2023 年全球診斷人工智慧市場規模為 10.1 億美元，預計到 2030 年將達到 52.7 億美元，預測期內年複合成長率為 26.6%。

在醫療診斷領域，人工智慧（AI）有潛力幫助醫療保健專業人員為患者做出正確、及時的治療決策，從而使醫療保健變得更加便利和經濟，是一項強大的技術。正確診斷疾病的過程非常耗時，並且需要多年的醫學訓練。人工智慧在醫療診斷中的應用已被證明可以提高醫生的臨床判斷並做出正確的診斷。

根據 Health IT Analytics 報導，2017 年 5 月，凱斯西儲大學的研究人員使用深度學習網路（一種人工智慧）來正確識別病理照片中的乳癌。

管理大量複雜資料的需求日益成長

由於醫療保健行業擴大使用數位化和資訊技術，醫療服務過程的各個階段都在產生巨量資料。醫療保健產業依靠各種基於人工智慧的解決方案來管理不斷擴大的數量和複雜性的醫療診斷資料。此外，在預測期內，由於使用互動式患者門戶網站，允許患者向 EMRS 提供資料和影像，醫療診斷中的巨量資料量預計將增加。

預算限制

醫療保健公司面臨的主要障礙是資金，特別是在開發中國家，很難將 IT 資金優先於醫療設備。限制市場成長的主要障礙是影像處理技術的高成本以及人工智慧軟體的實施和授權費用。此外，最終用戶常因實施和訂閱成本而承受經濟負擔。由於財政資源有限，較小的醫療機構無法負擔這些解決方案。預計這將對市場擴張產生負面影響。

提高診斷效果和效率

人工智慧演算法可以分析大量患者資料。人工智慧有潛力顯著提高診斷準確性，而這對人類觀察者來說是困難的。它還可以有效地處理和分析病理切片、診斷資料和醫學照片，以便更快、更準確地進行解釋。透過整合用戶輸入和經驗資料，人工智慧系統還可以更新和增強其演算法，以提高效能並跟上不斷發展的醫學知識的步伐。這些變數應該會在預測期內推動市場擴張。

維護/購買成本

市場採購成本高，其次是維護和資本支出價格高。醫院和其他知名金融機構是市場的重要投資者。與開發和部署基於人工智慧的產品相關的大部分成本由私人消費者直接承擔，因為政府對這些活動的投資很少。此外，基於人工智慧的系統的典型維修和維護成本可能相當昂貴。為了考慮這些成本並跟上不斷變化的場景，這些系統需要不斷改進。

COVID-19 的影響：

COVID-19 的疫情對全球醫療保健產業產生了負面影響。感染人數激增，對世界醫療系統帶來巨大壓力。因此，心胸乳房攝影篩檢擴大用作評估疾病嚴重程度的診斷工具。許多研究都集中在利用人工智慧透過胸部 CT 掃描進行診斷。疫情期間，人工智慧胸部放射解決方案的創建以及基於人工智慧的技術進行遠端醫療的使用大幅增加。

軟體部分預計將在預測期內成為最大的部分

預計軟體領域將在預測期內成為最大的領域。在醫療保健領域開發基於人工智慧的診斷軟體以提高測試準確性，使該軟體成為行業領導者。在軟體領域，人工智慧平台和人工智慧解決方案正在研究中。推動該市場成長的主要要素之一是對雲端基礎的人工智慧增強診斷解決方案的需求不斷成長，這些解決方案有助於在評估患者的醫療照片時提高診斷準確性。

領域預計在預測期內具有最高的年複合成長率

預計神經病學領域在預測期內的年複合成長率最高。癲癇、阿茲海默症、帕金森氏症等多種神經系統疾病的盛行率不斷患病，以及高齡化，增加了對準確診斷的需求，對市場成長產生了積極影響。此外，基於人工智慧的神經診斷替代不僅可以提高放射科醫生的效率和臨床判斷，還可以提高精確度和準確性。神經科技術的普及推動了神經病學的進步。

比最大的地區

預計北美在預測期內將佔據最大的市場佔有率。這項發展的推動配合措施包括成熟的醫療保健 IT 基礎設施、持續的技術進步、數位素養的提高、新興企業、不斷增加的資金籌措來源以及該地區的關鍵要素有很多，包括玩家。此外，降低測試成本、改善患者照護和減少設備停機時間的需求正在推動人工智慧在診斷中的應用不斷成長。

複合年複合成長率最高的地區：

預計亞太地區在預測期內將維持最高的年複合成長率。由於政府和私人的計劃，基於人工智慧的診斷越來越受歡迎。新創企業、知名度和投資正在推動當地工業的擴張。高齡化、急慢性疾病預計將推動市場擴張。此外，不斷擴大的患者群、流行病、雲端運算和政府人工智慧計畫預計也會影響該產業。

提供免費客製化：

訂閱此報告的客戶可以存取以下免費自訂選項之一：

  • 公司簡介
    • 其他市場參與者的綜合分析（最多 3 家公司）
    • 主要企業SWOT分析（最多3家企業）
  • 區域分割
    • 根據客戶興趣對主要國家的市場估計、預測和年複合成長率（註：基於可行性檢查）
  • 競爭基準化分析
    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

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
  • 最終用戶分析
  • 新興市場
  • 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 診斷市場中的全球人工智慧：按組成部分

  • 服務
  • 軟體
  • 硬體

第6章 診斷市場中的全球人工智慧：按技術分類

  • 情境感知計算
  • 電腦視覺
  • 機器學習
  • 自然語言處理（NLP）
  • 其他技術

第7章 診斷市場中的全球人工智慧：按診斷類型

  • 胸部和肺部
  • 病理
  • 神經病學
  • 腫瘤學
  • 放射科
  • 心臟病學
  • 其他診斷類型
    • 眼科
    • 皮膚科
    • 外科病理學
    • 腎臟病學
    • 肝病學
    • 牙科
    • 整形外科
    • 內分泌學

第8章 診斷市場中的全球人工智慧：按模式

  • X光
  • 超音波
  • CT掃描
  • MRI
  • 其他方式
    • 正子斷層掃描
    • 視網膜光學成像
    • 心電圖
    • 數位影像

第9章 診斷市場中的全球人工智慧：按最終用戶分類

  • 影像診斷中心
  • 醫院
  • 其他最終用戶
    • 診所
    • 門診治療中心
    • 學術研究中心
    • 臨床研究組織

第10章 全球人工智慧診斷市場：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11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12章公司簡介

  • 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.