市场概况

The global market for AI-enabled medical imaging solutions exhibited a value of $1,854.5 百万 2022 并预计达到 $18,356.5 百万 2032, reflecting a remarkable CAGR of 25.76% 在预测期内 2022-2032. 这种增长可归因于几个因素.

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

此外, 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. 此外, 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.

市场细分

市场根据多种因素进行细分, including modality, 产品, deployment model, workflow, therapeutic application, 和地区.

Segmentation by Modality
Computed Tomography (CT)
Magnetic Resonance (MR)
X-Ray
超声波
Mammography
Multimodality Imaging Systems
Other Modalities

按产品细分
软件
Hardware

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

按地区细分
北美 – 我们。, 加拿大
欧洲 – 德国, 法国, 英国。, 意大利, 西班牙, 瑞士, 瑞典, 荷兰, and Rest-of-Europe
亚太 – 日本, 中国, 印度, Australia and New Zealand, 韩国, 新加坡, and Rest-of-Asia-Pacific
Rest-of-the-World – 以色列, 巴西, 墨西哥, and Rest-of-Rest-of-the-World

The global market for AI-enabled medical imaging solutions is dominated by computed tomography (CT) modalities, which held a market share of 44.02% 在 2021 and are expected to reach a share of 42.00% 经过 2032. 然而, 在预测期内, the segments for mammography and multimodality imaging systems are expected to witness the fastest growth rates at a CAGR of 27.00% 和 30.20% 分别. 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% 在 2021 and is expected to grow at a remarkable CAGR of 25.93% 在预测期内. 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% 在 2021 and is expected to maintain its dominance with a share of 66.00% 经过 2032. 然而, 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, 为该细分市场的增长做出贡献.

In terms of deployment model, the cloud- and web-based solutions segment leads the global market with a share of 36.55% 在 2021 and is expected to reach a share of 41.00% 经过 2032, 复合年增长率为 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, cardiovascular diseases, and neurological disorders. The specialty imaging segment held a share of 58.14% 在 2021 预计复合年增长率为 26.32% 在预测期内. This segment includes the application of AI-based solutions in specialized disciplines such as oncology, cardiology, neurology, orthopedics, and respiratory.

北美和欧洲, known for their technologically advanced industries and significant budgets for research and development (右&D), 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 百万 2021 并预计达到 $10,151.2 年底达百万 2032, 年复合增长率为 25.99% 在预测期内. 美国. 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, 公司, CorTechs Labs Inc., Enlitic, 公司, iCAD, 公司, Synopsys, 公司, and Aidoc, 除其他外, are headquartered in the U.S., contributing to the growth of the global AI-enabled medical imaging solutions market.

竞争格局

The selection of the profiled companies was based on input gathered from primary experts and an analysis of their company’s coverage, 产品介绍, 和市场渗透率.

Key companies profiled in this report include Agfa-Gevaert Group, Aidoc, Blackford Analysis Limited, Butterfly Network, 公司, Canon Inc., Caption Health, Carestream Health Inc., FUJIFILM Holdings Corporation, 通用电气公司, Hologic, 公司, iCAD, 公司, 皇家飞利浦公司, NVIDIA Corporation, Siemens Healthineers AG, VUNO, 公司.

最新行业发展

十一月 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).

在九月 2022, Aidoc established a partnership with Sana Klinikum Lichtenberg, the largest private hospital network in Germany consisting of 55 facilities. 作为本次合作的一部分, Aidoc’s AI solution for pulmonary embolism (聚乙烯醇) will be seamlessly integrated into all facilities within the Sana Klinikum Lichtenberg network.

在六月 2022, Blackford Analysis Limited joined forces with Us2.ai to bring advanced echocardiography analysis tools to the Blackford Platform.

在五月 2022, Butterfly Network, 公司. formed a partnership with the Medical University of South Carolina with the goal of transforming patient care, health education, and medical research.

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

在九月 2021, Aidoc and Subtle Medical joined forces to establish comprehensive AI solutions for medical imaging.

在十二月 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 (AI) into their imaging networks.

在五月 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.

十一月 2021, Butterfly Network, 公司. formed a distribution partnership with Abdul Latif Jameel Health to distribute its Butterfly iQ+ ultrasound device to people across the Middle East, North Africa, 火鸡, 和印度.

In August 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.

已回答的关键问题

主要市场驱动因素是什么, 挑战, 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, 欧洲, 亚太, and the Rest-of-the-World (排)?

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?