市場概況

The global market for AI-enabled medical imaging solutions exhibited a value of $1,854.5 百万で 2022 に達すると予測されています $18,356.5 百万までに 2032, reflecting a remarkable CAGR of 25.76% の予測期間中に 2022-2032. This growth can be attributed to several factors.

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. さらに, the shortage of healthcare personnel further emphasizes the need for AI-enabled technologies to assist in efficient diagnosis and treatment planning.

さらに, 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. さらに, 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.

市場セグメンテーション

市場はさまざまな要因に基づいて分割されます, including modality, 製品, deployment model, workflow, therapeutic application, と地域.

Segmentation by Modality
Computed Tomography (CT)
Magnetic Resonance (氏)
X-Ray
Ultrasound
Mammography
Multimodality Imaging Systems
Other Modalities

製品ごとのセグメンテーション
ソフトウェア
ハードウェア

Segmentation by Deployment Model
雲- 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

地域ごとのセグメンテーション
北米 – 私たち。, カナダ
ヨーロッパ – ドイツ, フランス, イギリス。, イタリア, スペイン, スイス, スウェーデン, オランダ, およびヨーロッパのその他の地域
アジア太平洋地域 – 日本, 中国, インド, オーストラリアとニュージーランド, 韓国, シンガポール, およびその他のアジア太平洋地域
世界のその他の地域 – イスラエル, ブラジル, メキシコ, およびその他の地域

The global market for AI-enabled medical imaging solutions is dominated by computed tomography (CT) modalities, which held a market share of 44.02% で 2021 and are expected to reach a share of 42.00% による 2032. しかし, 予測期間中, the segments for mammography and multimodality imaging systems are expected to witness the fastest growth rates at a CAGR of 27.00% と 30.20% それぞれ. 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% で 2021 and is expected to grow at a remarkable CAGR of 25.93% 予測期間中. 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% で 2021 and is expected to maintain its dominance with a share of 66.00% による 2032. しかし, 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% で 2021 and is expected to reach a share of 41.00% による 2032, CAGR で成長 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, スケーラビリティ, 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% で 2021 そして、CAGR で成長すると予想されます。 26.32% 予測期間中. This segment includes the application of AI-based solutions in specialized disciplines such as oncology, cardiology, 神経学, 整形外科, and respiratory.

北米とヨーロッパ, known for their technologically advanced industries and significant budgets for research and development (R&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 百万で 2021 and is expected to reach $10,151.2 年末までに百万 2032, CAGR は 25.99% 予測期間中. アメリカ. 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, 株式会社, CorTechs Labs Inc., Enlitic, 株式会社, iCAD, 株式会社, Synopsys, 株式会社, and Aidoc, とりわけ, are headquartered in the U.S., contributing to the growth of the global AI-enabled medical imaging solutions market.

競争環境

The selection of the profiled companies was based on input gathered from primary experts and an analysis of their company’s coverage, 製品ポートフォリオ, と市場浸透.

Key companies profiled in this report include Agfa-Gevaert Group, Aidoc, Blackford Analysis Limited, Butterfly Network, 株式会社, Canon Inc., Caption Health, Carestream Health Inc., FUJIFILM Holdings Corporation, ゼネラル・エレクトリック社, Hologic, 株式会社, iCAD, 株式会社, コニンクライケ フィリップス N.V., NVIDIA Corporation, シーメンス ヘルスニアーズ AG, VUNO, 株式会社.

最近の業界の発展

十一月に 2022, Aidoc obtained approval from the U.S. 食品医薬品局 (FDA) for its CT-based AI solution designed for the diagnosis of aortic dissection (AD) and all vessel occlusions (VOs).

9月中 2022, Aidoc established a partnership with Sana Klinikum Lichtenberg, the largest private hospital network in Germany consisting of 55 facilities. 今回のコラボレーションの一環として, Aidoc’s AI solution for pulmonary embolism (PE) will be seamlessly integrated into all facilities within the Sana Klinikum Lichtenberg network.

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

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

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

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

12月中 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.

5月に 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.

十一月に 2021, Butterfly Network, 株式会社. formed a distribution partnership with Abdul Latif Jameel Health to distribute its Butterfly iQ+ ultrasound device to people across the Middle East, North Africa, 七面鳥, そしてインド.

8月に 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.

主な質問への回答

市場の主な推進要因は何ですか, 課題, 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, ヨーロッパ, アジア太平洋地域, and the Rest-of-the-World (行)?

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?