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醫學影像診斷 CT/MRI/X光

市場調查報告書

商品編碼

1574144

放射學人工智慧 (AI) 市場：2024-2029 年預測

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

出版日期: 2024年09月27日 | 出版商:

Knowledge Sourcing Intelligence | 英文 145 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

預計放射學市場中的人工智慧在預測期內將以 30.45% 的複合年成長率成長，從 2024 年的 22.7561 億美元市場規模成長到 2029 年的 85.96802 萬美元。

人工智慧 (AI) 中的深度學習演算法在基於視覺的應用中得到了完善。隨著變分自動編碼器和卷積類神經網路技術的實現，醫學影像分析領域正在迅速擴展。由於測量的方便性，X光相片品質的傳統定性評估有所不同。此外，人工智慧技術在分析影像資訊中包含的機械上困難的資訊模式方面變得越來越先進。例如，在放射學中，人工智慧演算法可以被設計來測量特定的放射線攝影特性，例如腫瘤的 3D 形狀、每個像素的紋理以及腫瘤內的像素強度。

X 光照相術可以讓有執照的醫生研究臨床圖片和套件說明，以及識別和統一疾病，從而使他們能夠檢測、識別和監測疾病。其評估需要大量的專業知識和經驗，有時容易受到意見的影響。與這種定性和主觀評估相反，人工智慧非常擅長自動執行客觀的數值分析，同時識別影像資料中的微妙模式。部署人工智慧來支援和協助乳房X光攝影醫生將實現更準確和可重複的放射學評估。該應用程式為未來幾年和幾十年放射學市場人工智慧的進一步開拓打開了大門。

放射學市場人工智慧的促進因素：

神經治療領域日益成長的需求預計將推動人工智慧在放射學市場的成長。

基於人工智慧的體積腫瘤分割可以提高所有腦腫瘤和其他神經系統癌症的識別和檢測，具有極高的準確性和一致性。該系統還可以透過 MRI 掃描自動識別腦腫瘤。這些策略對於以可重複和公正的方式提供準確的診斷和評估腫瘤對治療的反應將具有無價的價值。這種神經治療的另一個使用案例是使用人工智慧來預測治療結果，這有助於利用最佳策略。背景機器學習已被用來根據 MR 影像的血液容積分佈資料來預測病患的生存率。

例如，2023 年 2 月，放射篩檢人工智慧平台 Avicenna 籌集了 700 萬歐元的 A 輪融資，使其資本基礎達到 1,000 萬歐元。此階段採用基於影像的深度學習來識別和評估放射學研究設施中危及生命的疾病。電腦斷層掃描影像用於在診斷前優先考慮有症狀的患者。 Avicenna.AI 提供兩種變體。一是心臟病發作的跡象和可能性，二是腦損傷和中風的可能性。該平台幫助放射科醫師確定患者的生命是否受到威脅。

放射學市場人工智慧的地理格局：

預計亞太地區將佔據人工智慧放射學市場佔有率的很大一部分。

由於醫療和生物技術行業的研究支出和開發不斷增加，預計亞太地區將在放射學市場的人工智慧中佔據重要佔有率。此外，這些地區預計的大量患者數量將增加對更好的癌症治療基礎設施的需求，從而推動醫療保健行業的成長並促進區域層級的市場開拓。亞太地區也正在投資醫療保健以推動新技術，特別是在新興經濟體。

該地區的經濟體越來越注重建立健康的醫療保健系統，以實現患者的早期診斷和早期治療。此外，隨著各大主要企業都計劃在亞太國家擴大和建設設施，該地區的市場在未來幾年可能會成長。例如，2023年5月，該領域的世界領導者、基於人工智慧的放射學公司Annalise.ai在印度清奈設立了第一個中心。透過這項策略舉措，Annalize 繼續滲透到世界舞台，在亞洲等成熟市場和新興市場開展業務。該中心專注於研究和商業化新產品，將先進的成像資料和電腦科學相結合，提供完整的人工智慧解決方案來支援臨床決策。

為什麼要購買這份報告？

富有洞察力的分析：獲得詳細的市場洞察，重點關注客戶細分、政府政策和社會經濟因素、消費者偏好、產業和其他子區隔，也涵蓋關鍵和新興地區。
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塑造未來市場開拓。
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？

產業與市場考量、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、新產品開拓、競爭影響

調查範圍

過去的資料/預測，2022-2029
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、主要發展等）

介紹
北美洲
- 依技術
- 按用途
- 按最終用戶
- 按國家/地區
南美洲
- 依技術
- 按用途
- 按最終用戶
- 按國家/地區
歐洲
- 依技術
- 按用途
- 按最終用戶
- 按國家/地區
中東/非洲
- 依技術
- 按用途
- 按最終用戶
- 按國家/地區
亞太地區
- 依技術
- 按用途
- 按最終用戶
- 按國家/地區

第9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
競爭對手儀表板

第10章公司簡介

Microsoft Corporation
Amazon Web Services Inc.
IBM Corporation
Rad AI
Behold.ai
IMAGEN
Aidoc
Koninklijke Philips NV
GE Healthcare
Siemens Healthcare GmbH

簡介目錄

Product Code: KSI061614385

The AI in radiology market is projected to grow at a CAGR of 30.45% during the forecast period, reaching a total market size of US$8,596.802 million by 2029, up from US$2,275.610 million in 2024.

Deep learning algorithms in artificial intelligence (AI) have been perfected in vision-based applications. The medical image analysis domain is expanding rapidly with the realization of variational autoencoders and convolutional neural network techniques. Traditional qualitative assessments for radiographic qualities differ since the measure is easy to perform. Moreover, AI techniques are more advanced at analyzing mechanically difficult information patterns in imaging information. For instance, in radiology, AI algorithms could be designed to measure specific radiographic characteristics, such as the 3D shape of a tumor, every pixel's texture, and pixel intensity within the tumor.

X-ray radiography is when licensed medical doctors study clinical photos and kit a statement or identify and single out diseases that allow disorders to be detected, identified, and monitored. That assessment requires a lot of expertise and experience, which is sometimes susceptible to opinion. In contrast to this qualitative, subjective evaluation, AI is extremely good at identifying subtle patterns in imaging data while automatically providing an objective numerical analysis. Implementing AI to support and assist mammogram physicians can result in more precise and reproducible radiological assessments. This application is opening the door to further development into AI in the radiology market in years or decades to come.

AI IN RADIOLOGY MARKET DRIVERS:

The increasing requirement from the neurological treatment sector is anticipated to drive AI in the radiology market growth.

Working off of volumetric tumor segmentation, AI can improve identification and detection across all brain tumors and other neurological cancers with superior accuracy and consistency. The system will also automatically identify brain tumors on MRI scans. These strategies can be extremely valuable in providing precise diagnoses and assessing the tumor response to treatment in a reproducible and unbiased manner. Another use case in this neurological treatment is the prediction of outcomes using AI, which can assist in utilizing the best strategy. Background Machine learning has been used to predict survival among patients based on blood volume distribution data from MR imaging.

For instance, in February 2023, Avicenna, an AI platform for radiology screening, raised €7 million in a series A venture, bringing its capital base to €10 million. The stage employs image-trained profound learning to recognize and evaluate life-threatening ailments in radiology research facilities. It uses CT scan imaging to prioritize patients with symptoms before diagnosis. Avicenna.AI offers two variations: one for heart attack indications and chance and another for brain damage and stroke chance. The platform assists radiologists in deciding if a patient's life is threatened.

AI In Radiology Market Geographical Outlook:

The Asia Pacific region is expected to hold a substantial AI in radiology market share.

Asia Pacific is projected to hold substantial shares of AI in the radiology market owing to a rise in research spending and development in the medical and biotech industries. Moreover, the expected large number of patients in these areas will increase the demand for better cancer treatment infrastructure, propelling healthcare sector growth and aiding market development at a regional level. Asia Pacific has also seen investment in the healthcare sector, especially in emerging economies, to advance newer technologies.

The region's economies are increasingly focusing on creating a sound healthcare system for early patient diagnosis and treatment. In addition, various key companies are focusing on advancing their reach to Asia Pacific countries by building their facilities, leading to the regional market's growth in the coming years. For instance, in May 2023, Annalise. ai, an AI-based radiology company that is a global leader in the field, established its first Indian center in Chennai. Through this strategic move, Annalise continues penetrating the world arena with its presence in established and emerging markets like Asia. This translates into a center that specializes in the research and commercialization of new products containing advanced imaging data coupled with computer science that together results in complete AI solutions to support clinical decision-making.

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)

Market Segmentation:

The AI In Radiology Market is segmented and analyzed as below:

By Technology

Computer-aided Detection
Auto-segmentation of Organs
Natural Language Processing
Consultation
Quantification and Kinetics
Others

By Application

Mammography
Chest Imaging
Neurology
Cardiovascular
Others

By End-User

Hospitals
Diagnostic Imaging Centers
Others

By Geography

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

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
1.8. Key benefits for the stakeholders

2. RESEARCH METHODOLOGY

2.1. Research Design
2.2. Research Process

3. EXECUTIVE SUMMARY

3.1. Key Findings

4. MARKET DYNAMICS

4.1. Market Drivers
4.2. Market Restraints
4.3. Porter's Five Forces 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
4.5. Analyst View

5. AI IN RADIOLOGY MARKET BY TECHNOLOGY

5.1. Introduction
5.2. Computer-aided Detection
5.3. Auto-segmentation of Organs
5.4. Natural Language Processing
5.5. Consultation
5.6. Quantification and Kinetics
5.7. Others

6. AI IN RADIOLOGY MARKET BY APPLICATION

6.1. Introduction
6.2. Mammography
6.3. Chest Imaging
6.4. Neurology
6.5. Cardiovascular
6.6. Others

7. AI IN RADIOLOGY MARKET BY END-USER

7.1. Introduction
7.2. Hospitals
7.3. Diagnostic Imaging Centers
7.4. Others

8. AI IN RADIOLOGY MARKET BY GEOGRAPHY

8.1. Introduction
8.2. North America
- 8.2.1. By Technology
- 8.2.2. By Application
- 8.2.3. By End-User
- 8.2.4. By Country
  - 8.2.4.1. USA
  - 8.2.4.2. Canada
  - 8.2.4.3. Mexico
8.3. South America
- 8.3.1. By Technology
- 8.3.2. By Application
- 8.3.3. By End-User
- 8.3.4. By Country
  - 8.3.4.1. Brazil
  - 8.3.4.2. Argentina
  - 8.3.4.3. Others
8.4. Europe
- 8.4.1. By Technology
- 8.4.2. By Application
- 8.4.3. By End-User
- 8.4.4. By Country
  - 8.4.4.1. Germany
  - 8.4.4.2. France
  - 8.4.4.3. United Kingdom
  - 8.4.4.4. Spain
  - 8.4.4.5. Others
8.5. Middle East and Africa
- 8.5.1. By Technology
- 8.5.2. By Application
- 8.5.3. By End-User
- 8.5.4. By Country
  - 8.5.4.1. Saudi Arabia
  - 8.5.4.2. UAE
  - 8.5.4.3. Israel
  - 8.5.4.4. Others
8.6. Asia Pacific
- 8.6.1. By Technology
- 8.6.2. By Application
- 8.6.3. By End-User
- 8.6.4. By Country
  - 8.6.4.1. China
  - 8.6.4.2. Japan
  - 8.6.4.3. India
  - 8.6.4.4. South Korea
  - 8.6.4.5. Taiwan
  - 8.6.4.6. Indonesia
  - 8.6.4.7. Others