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市場調查報告書
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1574123

醫療影像診斷領域的人工智慧 (AI) 市場 - 2024 年至 2029 年預測

Artificial Intelligence (AI) in Medical Imaging Market - Forecasts from 2024 to 2029

出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 140 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

醫療影像診斷領域的人工智慧 (AI) 市場總市場規模預計將從 2024 年的 24.49 億美元增至 2029 年的 103.76 億美元,預測期內複合年成長率為 33.47%。

醫學影像處理市場中人工智慧(AI)的成長從根本上是由於醫學影像中人工智慧(AI)創新執行力的不斷增強而發展的。由於對更準確、更有效的診斷工具的需求不斷成長,醫學影像領域的人工智慧(AI)市場規模正在擴大。主要企業正在積極開發人工智慧演算法並將其整合到醫學影像處理系統中,從而主導醫學影像領域的人工智慧(AI)市場佔有率。其成員包括健康服務創新組織、影像處理硬體生產商和程式設計工程師。市場成長預計將帶來進一步的開拓和創新,以改善醫學影像結果。

介紹

醫學影像領域的人工智慧(AI)市場正在迅速擴大,診斷影像的實證變化正在重新思考醫療服務業務。為了提高準確性、效率和患者治療效果,醫學影像系統結合了機器學習和深度學習演算法。

對於 X 光、 電腦斷層掃描、MRI 和超音波等醫學掃描,醫學影像領域人工智慧 (AI) 市場的成長能夠增強影像處理、自動判讀和異常識別。這些人工意識驅動的創新可以幫助放射科醫生和醫生檢測和分析惡性生長、心血管感染、神經系統問題和外部肌肉特徵等疾病。

醫療影像市場中的人工智慧 (AI) 促進因素:

  • 對疾病準確、及時診斷的需求不斷成長:

由於人們對完美和理想的疾病識別的興趣日益濃厚,對準確診斷成像的需求不斷成長,預計將推動人工智慧 (AI) 在醫學成像中的採用。根據美國國家醫學圖書館提供的統計數據,人工智慧(AI)在醫學影像中的使用顯著提高了診斷準確性。人工智慧演算法在疾病檢測方面表現出高度的敏感性和特異性,使患者比通常情況下更早獲得更好的治療結果。隨著醫療保健專業人員對更準確的疾病診斷的需求,人工智慧主導的醫學影像解決方案日益變得重要。

醫學影像診斷人工智慧(AI)市場的地理展望

  • 北美在醫學影像領域的人工智慧 (AI) 市場處於領先地位。

北美在醫學影像人工智慧(AI)市場中佔有很大佔有率,並引領全球市場。該地區的成長得益於現代醫療基礎設施、高昂的醫療成本以及主要企業和研究機構的大量存在。除此之外,促進人工智慧在醫療保健領域使用的有利政府措施和政策正在增加市場佔有率。對有效診斷工具、疾病早期檢測和個人化治療計劃的需求不斷成長,正在加強北美在醫療影像市場中人工智慧 (AI) 的佔有率。

為什麼要購買這份報告?

  • 富有洞察力的分析:獲得涵蓋關鍵和新興地區的深入市場洞察,重點關注客戶細分、政府政策和社會經濟因素、消費者偏好、行業部門和其他子區隔。
  • 競爭格局:了解世界主要企業採取的策略策略,並了解透過正確的策略滲透市場的潛力。
  • 市場促進因素和未來趨勢:探索動態因素和關鍵市場趨勢以及它們將如何影響未來市場發展。
  • 可行的建議:利用洞察力做出策略決策,在動態環境中釋放新的業務流和收益。
  • 面向廣大受眾:對於新興企業、研究機構、顧問、中小型企業和大型企業有用且具有成本效益。

公司使用我們的報告的目的是什麼?

產業和市場考量、機會評估、產品需求預測、打入市場策略、地理擴張、資本投資決策、法律規範與影響、新產品開發、競爭影響

調查範圍

  • 2022年至2029年歷史資料與預測
  • 成長機會、挑戰、供應鏈前景、法規結構、顧客行為、趨勢分析
  • 競爭對手的市場狀況、策略與市場佔有率分析
  • 包括國家在內的細分市場和地區的收益成長和預測評估
  • 公司簡介(策略、產品、財務資訊、主要動態等)

目錄

第1章簡介

  • 市場概況
  • 市場定義
  • 調查範圍
  • 市場區隔
  • 貨幣
  • 先決條件
  • 基準年和預測年時間表

第2章調查方法

  • 調查資料
  • 先決條件

第3章執行摘要

  • 研究亮點

第4章市場動態

  • 市場促進因素
  • 市場限制因素
  • 波特五力分析
  • 產業價值鏈分析

第5章醫學影像診斷中的人工智慧(AI)市場:透過提供

  • 介紹
  • 軟體
  • 服務

第6章醫學影像診斷中的人工智慧(AI)市場:按技術分類

  • 介紹
  • 機器學習
  • 深度學習
  • 電腦視覺

第7章醫學影像診斷中的人工智慧(AI)市場:按應用分類

  • 介紹
  • 腫瘤學
  • 神經病學
  • 心臟病學
  • 整形外科
  • 其他

第8章醫學影像診斷中的人工智慧(AI)市場:按最終用戶分類

  • 介紹
  • 醫院/診所
  • 影像診斷中心
  • 調查機構
  • 其他

第9章 醫學影像診斷領域的人工智慧(AI)市場:按地區

  • 介紹
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 其他
  • 中東/非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 其他
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 韓國
    • 印尼
    • 台灣
    • 其他

第10章競爭環境及分析

  • 主要企業及策略分析
  • 市場佔有率分析
  • 合併、收購、協議和合作

第11章 公司簡介

  • General Electric Company
  • IBM Corporation
  • Koninklijke Philips NV
  • NVIDIA Corporation
  • Siemens Healthineers AG
  • Canon Medical Systems Corporation
  • Hologic, Inc.
  • Agfa-Gevaert Group
  • Aidoc
  • Zebra Technologies Corp.
簡介目錄
Product Code: KSI061615675

The AI in medical imaging market is projected to witness a CAGR of 33.47% during the forecast period to reach a total market size of US$10.376 billion by 2029, up from US$2.449 billion in 2024.

As a result of the rising execution of man-made brainpower innovations in the medical care industry, artificial intelligence (AI) in the medical Imaging market growth has developed fundamentally. AI in the medical imaging market size has expanded due to the growing demand for diagnostic tools that are both more accurate and more effective. Key companies own the market share in medical imaging and AI since they are actively developing and integrating AI algorithms into medical imaging systems. Its members include innovation organizations in medical services, producers of imaging hardware, and programming engineers. The market growth has created room for anticipation of further development and innovation that will improve the results of medical imaging.

Introduction:

Artificial intelligence in the medical imaging market is expanding rapidly, and the medical services business is being rethought by changing demonstrative imaging. To improve accuracy, efficiency, and patient outcomes, medical imaging systems are incorporating machine learning and deep learning algorithms.

In medical scans like X-rays, CT scans, MRIs, and ultrasound, AI in Medical Imaging market growth enables enhanced image processing, automated interpretation, and the identification of anomalies. These man-made consciousness-fueled innovations can help radiologists and doctors find and analyze infirmities like malignant growth, cardiovascular infection, neurological issues, and outer muscle peculiarities.

AI IN MEDICAL IMAGING MARKET DRIVERS:

  • Growing demand for accurate and timely diagnosis of illness:

The growing demand for precise imaging is anticipated to drive AI adoption in medical imaging since there is growing interest in the perfect and ideal identification of illness. According to the statistics provided by the National Library of Medicine, AI usage in medical imaging has significantly improved diagnostic accuracy. AI algorithms have shown high sensitivity and specificity for the detection of ailments, which has, in turn, enabled patients to go through better outcomes of treatments much earlier than usual. Due to the demand for more accurate diagnosis of diseases by healthcare professionals, AI-driven medical imaging solutions are gaining importance daily.

AI in the Medical Imaging Market Geographical Outlook

  • North America is leading in the AI in the medical imaging market.

North America is leading the world market with a huge share of the medical imaging AI market. The regional growth can be attributed to the modern healthcare infrastructure, high healthcare expenditure, and the considerable presence of key companies or research institutions. Besides that, favorable government initiatives and policies promoting the use of AI in healthcare add to the market's share. The increasing demand for effective diagnostic tools, early illness identification, and personalized treatment plans bolsters North America's share of the AI market in medical imaging.

Reasons for buying this report:-

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data & forecasts from 2022 to 2029
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

Segmentation

By Offering

  • Software
  • Services

By Technology

  • Machine Learning
  • Deep Learning
  • Computer Vision

By Application

  • Oncology
  • Neurology
  • Cardiology
  • Pulmonary
  • Orthopedics
  • Others

By End User

  • Hospitals & Clinics
  • Diagnostics Image Centers
  • Research Institutes
  • Others

By Geography

  • North America
  • United States
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • United Kingdom
  • Germany
  • France
  • Italy
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Others
  • Asia Pacific
  • Japan
  • China
  • India
  • South Korea
  • Indonesia
  • Taiwan
  • Other

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base, and Forecast Years Timeline

2. RESEARCH METHODOLOGY

  • 2.1. Research Data
  • 2.2. Assumptions

3. EXECUTIVE SUMMARY

  • 3.1. Research Highlights

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Force Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis

5. AI IN MEDICAL IMAGING MARKET, BY OFFERING

  • 5.1. Introduction
  • 5.2. Software
  • 5.3. Services

6. AI IN MEDICAL IMAGING MARKET, BY TECHNOLOGY

  • 6.1. Introduction
  • 6.2. Machine Learning
  • 6.3. Deep Learning
  • 6.4. Computer Vision

7. AI IN MEDICAL IMAGING MARKET, BY APPLICATION

  • 7.1. Introduction
  • 7.2. Oncology
  • 7.3. Neurology
  • 7.4. Cardiology
  • 7.5. Pulmonary
  • 7.6. Orthopedics
  • 7.7. Others

8. AI IN MEDICAL IMAGING MARKET, END-USER

  • 8.1. Introduction
  • 8.2. Hospitals & Clinics
  • 8.3. Diagnostics Image Centers
  • 8.4. Research Institutes
  • 8.5. Others

9. AI IN MEDICAL IMAGING MARKET, BY GEOGRAPHY

  • 9.1. Introduction
  • 9.2. North America
    • 9.2.1. United States
    • 9.2.2. Canada
    • 9.2.3. Mexico
  • 9.3. South America
    • 9.3.1. Brazil
    • 9.3.2. Argentina
    • 9.3.3. Others
  • 9.4. Europe
    • 9.4.1. United Kingdom
    • 9.4.2. Germany
    • 9.4.3. France
    • 9.4.4. Italy
    • 9.4.5. Spain
    • 9.4.6. Others
  • 9.5. Middle East and Africa
    • 9.5.1. Saudi Arabia
    • 9.5.2. UAE
    • 9.5.3. Others
  • 9.6. Asia Pacific
    • 9.6.1. Japan
    • 9.6.2. China
    • 9.6.3. India
    • 9.6.4. South Korea
    • 9.6.5. Indonesia
    • 9.6.6. Taiwan
    • 9.6.7. Others

10. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 10.1. Major Players and Strategy Analysis
  • 10.2. Market Share Analysis
  • 10.3. Mergers, Acquisitions, Agreements, and Collaborations

11. COMPANY PROFILES

  • 11.1. General Electric Company
  • 11.2. IBM Corporation
  • 11.3. Koninklijke Philips N.V.
  • 11.4. NVIDIA Corporation
  • 11.5. Siemens Healthineers AG
  • 11.6. Canon Medical Systems Corporation
  • 11.7. Hologic, Inc.
  • 11.8. Agfa-Gevaert Group
  • 11.9. Aidoc
  • 11.10. Zebra Technologies Corp.