시장 개관

The global market for AI-enabled medical imaging solutions exhibited a value of $1,854.5 백만 단위 2022 도달할 것으로 예상됩니다. $18,356.5 백만 단위로 2032, reflecting a remarkable CAGR of 25.76% 예측 기간 동안 2022-2032. 이러한 성장은 여러 가지 요인에 기인할 수 있습니다.

One of the key drivers is the growing awareness surrounding the early detection of chronic diseases. The integration of artificial intelligence (일체 포함) into medical imaging solutions enables improved clinical decision-making and enhanced accuracy, aiding in the timely identification of these conditions. 게다가, the shortage of healthcare personnel further emphasizes the need for AI-enabled technologies to assist in efficient diagnosis and treatment planning.

뿐만 아니라, the therapeutic applications of AI-enabled devices are expanding, contributing to market growth. These devices offer innovative solutions for personalized treatment and improved patient outcomes. AI’s ability to analyze vast amounts of medical data and generate valuable insights has revolutionized areas such as drug discovery and image-guided therapy.

While the market presents substantial opportunities, it also faces certain limitations. Legal implications associated with AI systems need to be addressed to ensure ethical and responsible implementation. 추가적으로, the escalating number of security breaches raises concerns about the privacy and security of healthcare data, underscoring the importance of robust cybersecurity measures.

Despite these limitations, the COVID-19 pandemic has demonstrated the significant role of AI in healthcare. Radiology departments worldwide have increasingly adopted AI-based tools to combat the pandemic. AI’s contribution to diagnosis, prognosis evaluation, pandemic prediction, and drug discovery for COVID-19 has been widely recognized.

시장 세분화

시장은 다양한 요인에 따라 분류됩니다., including modality, 제품, deployment model, workflow, therapeutic application, 및 지역.

Segmentation by Modality
Computed Tomography (CT)
Magnetic Resonance (MR)
엑스레이
초음파
Mammography
Multimodality Imaging Systems
Other Modalities

제품별 세분화
Software
하드웨어

Segmentation by Deployment Model
Cloud- and Web-Based Solutions
On-Premises Solutions

Segmentation by Workflow
Image Acquisition
Image Analysis
Detection
Diagnosis and Treatment Decision Support
Predictive Analysis and Risk Assessment
Triage
Reporting and Communication

Segmentation by Therapeutic Application
Specialty Imaging
General Imaging

지역별 세분화
북아메리카 – 우리를., 캐나다
유럽 – 독일, 프랑스, 영국, 이탈리아, 스페인, 스위스, 스웨덴, 네덜란드, 및 유럽 나머지 지역
아시아 태평양 – 일본, 중국, 인도, 호주와 뉴질랜드, 대한민국, 싱가포르, 및 기타 아시아 태평양 지역
기타 지역 – 이스라엘, 브라질, 멕시코, and Rest-of-Rest-of-the-World

The global market for AI-enabled medical imaging solutions is dominated by computed tomography (CT) 양식, which held a market share of 44.02% ~에 2021 and are expected to reach a share of 42.00% ~에 의해 2032. 하지만, 예측 기간 동안, the segments for mammography and multimodality imaging systems are expected to witness the fastest growth rates at a CAGR of 27.00% 그리고 30.20% 각기. This dominance of the CT segment can be attributed to increasing partnerships and advancements in CT using AI, as well as the availability of efficient AI-based solutions for CT scans.

CT scans involve the use of computer-processed combinations of X-Ray measurements taken from different angles to produce cross-sectional images of specific areas of the body. The advancements in AI have greatly benefited the diagnosis using CT, with machine learning and deep learning solutions being used for various applications, such as detecting acute findings in abdominal CT exams and differentiating individual structures on chest CT scans. While radiologists typically focus on the primary indication, AI-enabled medical imaging solutions provide accurate and systematic examination of all scanned regions of the body.

In terms of product, the software segment dominates the global market with a market share of 67.98% ~에 2021 and is expected to grow at a remarkable CAGR of 25.93% 예측 기간 동안. This growth can be attributed to an increasing number of software manufacturers entering the AI space. The software segment includes machine learning and deep learning solutions used in medical imaging for various applications such as image pattern identification, improving radiology workflow, analysis and acquisition of images, decision support, treatment selection and monitoring, predictive analysis, and reporting and communication.

Regarding workflow, the image analysis segment currently dominates the global market with a market share of 70.04% ~에 2021 and is expected to maintain its dominance with a share of 66.00% ~에 의해 2032. 하지만, the detection segment is expected to grow at the fastest rate during the forecast period with a CAGR of 28.47%. Image analysis involves extracting meaningful diagnostic information and suppressing irrelevant details. Partnerships and new product launches focused on AI-based image analysis solutions have increased in recent years, contributing to the growth of this segment.

In terms of deployment model, the cloud- and web-based solutions segment leads the global market with a share of 36.55% ~에 2021 and is expected to reach a share of 41.00% ~에 의해 2032, CAGR로 성장 27.08%. This segment’s dominance is due to the increased adoption of cloud- and web-based solutions, which offer advantages such as cost-effectiveness, customization, and vendor neutrality. Cloud-based solutions refer to services accessed through the internet via shared cloud computing infrastructure, providing increased capacity, scalability, and reduced maintenance costs. Web-based solutions can be accessed through a web browser, offering access and functionality to a broad population and easy maintenance compared to other deployment models.

In terms of therapeutic application, the specialty imaging segment is expected to dominate the market due to the increasing prevalence of chronic disorders such as cancer, 심혈관 질환, and neurological disorders. The specialty imaging segment held a share of 58.14% ~에 2021 CAGR로 성장할 것으로 예상됩니다. 26.32% 예측 기간 동안. This segment includes the application of AI-based solutions in specialized disciplines such as oncology, cardiology, neurology, 정형 외과, and respiratory.

북미 및 유럽, known for their technologically advanced industries and significant budgets for research and development (아르 자형&디), hold the largest shares in the global market. Asia-Pacific and Rest-of-the-World regions are expected to register significant growth due to factors such as the shortage of healthcare workforce leading to increased demand for AI automation and the increasing prevalence of chronic disorders driving awareness for early diagnosis.

The North America market for AI-enabled medical imaging solutions was valued at $729.4 백만 단위 2021 도달할 것으로 예상됩니다. $10,151.2 말까지 백만 2032, CAGR로 25.99% 예측 기간 동안. 미국. holds the largest share in this market, driven by the presence of several market players and the increasing adoption of AI-enabled solutions in radiology. Key players such as Optellum Ltd., Arterys Inc. (Tempus), Butterfly Network, 주식회사, CorTechs Labs Inc., Enlitic, 주식회사, iCAD, 주식회사, Synopsys, 주식회사, and Aidoc, 무엇보다도, are headquartered in the U.S., contributing to the growth of the global AI-enabled medical imaging solutions market.

경쟁 구도

The selection of the profiled companies was based on input gathered from primary experts and an analysis of their company’s coverage, 제품 포트폴리오, 그리고 시장 침투.

이 보고서에 소개된 주요 기업으로는 Agfa-Gevaert Group이 있습니다., Aidoc, Blackford Analysis Limited, Butterfly Network, 주식회사, 캐논 주식회사, Caption Health, 케어스트림헬스(주), 후지필름 홀딩스 주식회사, 일반 전기 회사, 홀로그램, 주식회사, iCAD, 주식회사, Koninklijke Philips N.V., 엔비디아 주식회사, 지멘스 헬시니어스 AG, VUNO, 주식회사.

최근 산업 발전

11 월 2022, Aidoc obtained approval from the U.S. Food and Drug Administration (FDA) for its CT-based AI solution designed for the diagnosis of aortic dissection (AD) and all vessel occlusions (VOs).

9월 2022, Aidoc established a partnership with Sana Klinikum Lichtenberg, the largest private hospital network in Germany consisting of 55 facilities. 이번 콜라보레이션의 일환으로, Aidoc’s AI solution for pulmonary embolism (PE) will be seamlessly integrated into all facilities within the Sana Klinikum Lichtenberg network.

6월 2022, Blackford Analysis Limited joined forces with Us2.ai to bring advanced echocardiography analysis tools to the Blackford Platform.

5월 2022, Butterfly Network, 주식회사. formed a partnership with the Medical University of South Carolina with the goal of transforming patient care, health education, and medical research.

8 월 2021, Blackford Analysis Limited collaborated with Qlarity Imaging to offer Radiologists access to QuantX Diagnostic AI through the Blackford Platform.

9월 2021, Aidoc and Subtle Medical joined forces to establish comprehensive AI solutions for medical imaging.

십이월에 2020, Agfa HealthCare, a subsidiary of Agfa-Gevaert Group, introduced a new product called RUBEE for AI, enabling hospitals to seamlessly integrate top-tier artificial intelligence (일체 포함) into their imaging networks.

5월 2020, Agfa HealthCare, a subsidiary of Agfa-Gevaert Group, partnered with Northwest Clinics to enhance the imaging platform of clinics with the integration of RUBEE for AI.

11 월 2021, Butterfly Network, 주식회사. formed a distribution partnership with Abdul Latif Jameel Health to distribute its Butterfly iQ+ ultrasound device to people across the Middle East, North Africa, 칠면조, 그리고 인도.

8 월 2021, Caption Health entered into an exclusive partnership with Butterfly Network Inc. to facilitate early disease detection and management through AI-based guidance and diagnostics.

주요 질문에 대한 답변

What are the primary market drivers, 도전, and opportunities in the global market for AI-enabled medical imaging solutions?

Which emerging trends can be observed within the global market for AI-enabled medical imaging solutions?

How is each product type within the global market for AI-enabled medical imaging solutions expected to grow throughout the forecast period? What is the projected revenue for each of these products by the end of 2032?

What is the growth potential of the global market for AI-enabled medical imaging solutions in North America, 유럽, 아시아 태평양, and the Rest-of-the-World (열)?

What is the trend in patent filings within the global market for AI-enabled medical imaging solutions?

Could you provide some case studies from the global market for AI-enabled medical imaging solutions?

How is the market segmented based on modality within the AI-enabled medical imaging solutions market?

What is the ranking of modalities in terms of their level of AI-enabled medical imaging solutions?

What is the market segmentation based on therapeutic application within the AI-enabled medical imaging solutions market?

How are therapeutic applications ranked in terms of the level of AI-enabled medical imaging solutions?

What impact has the COVID-19 pandemic had on the global AI-enabled medical imaging solutions market?