유방 영상 진단용 AI 시장 : 세계 산업 규모, 점유율, 동향, 기회, 예측, 경쟁별, 영상 진단법별, 용도별, 최종 용도별, 지역별, 경쟁별(2020-2030년)
AI In Breast Imaging Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Component, By Imaging Modality, By Application, By End Use, By Region and Competition, 2020-2030F
상품코드 : 1667939
리서치사 : TechSci Research
발행일 : 2025년 02월
페이지 정보 : 영문 182 Pages
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한글목차

세계의 유방 영상 진단용 AI 시장 규모는 2024년 3억 2,032만 달러로, 예측 기간 중 5.47%의 연평균 복합 성장률(CAGR)로 2030년에는 4억 4,198만 달러에 달할 것으로 예상됩니다.

AI 기술, 특히 딥러닝 알고리즘은 이미지 분석을 개선하고 인적 오류를 줄이며 진단 속도를 향상시킴으로써 진단 프로세스에 혁명을 일으키고 있습니다. 진단 프로세스에 혁명을 가져오고 있습니다. 이러한 발전은 종양과 이상을 보다 정확하게 감지할 수 있게 하여 환자의 예후를 개선하는 데 도움이 됩니다. 유방암 유병률 증가는 디지털 이미징 기술의 채택 증가와 함께 시장 확대에 기여하고 있습니다. 유방촬영술, 초음파 등 다른 의료 영상 진단 기법과 AI의 통합은 시장 잠재력을 더욱 높여주고 있습니다. 의료 시스템이 개인화되고 효율적인 치료를 우선시함에 따라 유방 영상 진단용 AI의 역할은 더욱 확대될 것으로 예상됩니다.

시장 개요
예측 기간 2026-2030년
시장 규모 : 2024년 3억 2,032만 달러
시장 규모 : 2030년 4억 4,198만 달러
CAGR: 2025-2030년 5.47%
급성장 부문 소프트웨어
최대 시장 북미

시장 성장 촉진요인

유방암 발병률 증가

주요 시장 이슈

데이터 프라이버시 및 보안에 대한 우려

주요 시장 동향

조기 발견 및 검진에 대한 수요 증가

목차

제1장 개요

제2장 조사 방법

제3장 개요

제4장 고객의 소리

제5장 세계의 유방 영상 진단용 AI 시장 전망

제6장 북미의 유방 영상 진단용 AI 시장 전망

제7장 유럽의 유방 영상 진단용 AI 시장 전망

제8장 아시아태평양의 유방 영상 진단용 AI 시장 전망

제9장 남미의 유방 영상 진단용 AI 시장 전망

제10장 중동 및 아프리카의 유방 영상 진단용 AI 시장 전망

제11장 시장 역학

제12장 시장 동향과 발전

제13장 Porter's Five Forces 분석

제14장 경쟁 구도

제15장 전략적 제안

제16장 조사회사 소개·면책사항

KSA
영문 목차

영문목차

Global AI in Breast Imaging Market was valued at USD 320.32 Million in 2024 and is expected to reach USD 441.98 Million by 2030 with a CAGR of 5.47% during the forecast period. The global AI in breast imaging market is experiencing significant growth, driven by the increasing demand for early and accurate breast cancer detection. AI technologies, particularly deep learning algorithms, are revolutionizing the diagnostic process by improving image analysis, reducing human error, and enhancing the speed of diagnosis. These advancements allow for more precise detection of tumors and abnormalities, leading to better patient outcomes. The growing prevalence of breast cancer, along with the rise in the adoption of digital imaging technologies, is contributing to the market's expansion. The integration of AI with other medical imaging modalities, such as mammography and ultrasound, further enhances the market potential. As healthcare systems increasingly prioritize personalized and efficient care, AI's role in breast imaging is expected to continue growing.

Market Overview
Forecast Period2026-2030
Market Size 2024USD 320.32 Million
Market Size 2030USD 441.98 Million
CAGR 2025-20305.47%
Fastest Growing SegmentSoftware
Largest MarketNorth America

Key Market Drivers

Increasing Incidence of Breast Cancer

Breast cancer continues to be one of the most prevalent types of cancer worldwide, with millions of new cases diagnosed annually. The rising incidence of breast cancer is primarily attributed to lifestyle changes, aging populations, and environmental factors. According to the American Cancer Society, breast cancer is the second leading cause of cancer deaths among women in the United States. As the incidence of breast cancer increases, so does the need for improved diagnostic methods to detect the disease at the earliest possible stage. Early detection is critical for improving prognosis, as it allows for more effective treatment options and a higher chance of survival. According to WHO, in 2022, breast cancer led to approximately 670,000 deaths worldwide. Around half of all breast cancer cases occur in women with no distinct risk factors other than their sex and age. It was the most common cancer among women in 157 out of 185 countries that year. Breast cancer affects individuals globally, with occurrences in every country. While predominantly a women's disease, about 0.5-1% of breast cancer cases are found in men.

Key Market Challenges

Data Privacy and Security Concerns

As with any technology that deals with sensitive healthcare data, AI in breast imaging faces significant challenges related to data privacy and security. Breast imaging datasets often contain highly personal medical information, and the need to protect this data from unauthorized access or breaches is paramount. Healthcare providers, hospitals, and tech companies developing AI tools must ensure compliance with stringent data protection regulations, such as the Health Insurance Portability and Accountability Act (HIPAA) in the United States, the General Data Protection Regulation (GDPR) in Europe, and other regional laws.

Key Market Trends

Growing Demand for Early Detection and Screening

The global healthcare industry is increasingly prioritizing early detection, and breast cancer screening is no exception. The earlier breast cancer is detected, the higher the likelihood of successful treatment and improved survival rates. Consequently, early detection technologies are a significant focus for healthcare systems worldwide. Routine screenings, such as mammograms, are now widely recommended for women above a certain age or those with higher risk factors, such as family history or genetic predispositions. Early screening not only helps identify cancer in its most treatable stages but also lowers overall healthcare costs by preventing the need for more aggressive treatments that are required for late-stage cancers.

All leading medical organizations in the US recommend screening mammography for women aged 40 and above. Studies have shown that screening mammography reduces breast cancer mortality by approximately 20% to 35% in women aged 50 to 69, and by a slightly lower percentage in women aged 40 to 49, with a 14-year follow-up. Despite the effectiveness of mammograms and other imaging techniques, there are challenges in detecting early-stage tumors, particularly in women with dense breast tissue, where mammograms are less sensitive. AI-powered tools can help overcome this limitation by improving image clarity, identifying cancerous areas more accurately, and providing additional insights to clinicians. AI algorithms are trained to detect early-stage cancers that might be missed in a routine manual review of mammograms, reducing the risk of false negatives.

Key Market Players

Report Scope:

In this report, the Global AI In Breast Imaging Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

AI In Breast Imaging Market, By Component:

AI In Breast Imaging Market, By Imaging Modality:

AI In Breast Imaging Market, By Application:

AI In Breast Imaging Market, By End Use:

AI In Breast Imaging Market, By Region:

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global AI In Breast Imaging Market.

Available Customizations:

Global AI In Breast Imaging market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

Table of Contents

1. Product Overview

2. Research Methodology

3. Executive Summary

4. Voice of Customer

5. Global AI In Breast Imaging Market Outlook

6. North America AI In Breast Imaging Market Outlook

7. Europe AI In Breast Imaging Market Outlook

8. Asia-Pacific AI In Breast Imaging Market Outlook

9. South America AI In Breast Imaging Market Outlook

10. Middle East and Africa AI In Breast Imaging Market Outlook

11. Market Dynamics

12. Market Trends & Developments

13. Porter's Five Forces Analysis

14. Competitive Landscape

15. Strategic Recommendations

16. About Us & Disclaimer

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