市場調查報告書
商品編碼
1403515
到 2030 年電腦輔助檢測市場預測:按產品類型、適應症、應用、最終用戶和地區進行的全球分析Computer Aided Detection Market Forecasts to 2030 - Global Analysis By Product Type, Indication, Application, End User and By Geography |
根據 Stratistics MRC 的數據,2023 年全球電腦輔助偵測市場規模為 8.18 億美元,預計在預測期內將以 7.9% 的複合年成長率成長,到 2030 年達到 13.92 億美元。
電腦輔助檢測 (CAD) 是一組演算法,使用模式識別來幫助醫生解讀醫學影像。電腦輔助檢測軟體透過X光磁振造影、超音波影像、電腦斷層掃描等顯像模式輔助診斷冠狀動脈疾病、癌症、心血管疾病、神經系統疾病等各種疾病。
根據世界衛生組織(WHO)估計,到2022年,癌症將成為全球第一大死因,到2020年將導致約1,000萬人死亡,即幾乎六分之一的人死亡。
早期發現該疾病對於增加成功治療的可能性和改善患者的治療效果至關重要。與診斷成像設備整合的 CAD 系統可幫助放射科醫生透過分析影像並突出顯示潛在的關注區域來及早發現疾病。此外,癌症、心血管疾病和神經系統疾病等慢性疾病的盛行率不斷增加,增加了早期診斷的需求。因此,疾病早期檢測需求的不斷成長成為加速市場需求的關鍵因素。
高實施成本是電腦輔助偵測(CAD)系統進入市場的主要抑制因素。實施 CAD 系統需要大量投資,包括軟體採集費用、硬體基礎設施和醫療保健專業人員培訓成本。 CAD 軟體本身可能很昂貴,特別是如果它是為特定的醫學專業或顯像模式設計的。此外,支援 CAD 系統所需的硬體(例如高效能電腦和儲存解決方案)也會推高整體實施成本。
電腦斷層掃描 (CT)、磁振造影(MRI) 和乳房 X 光攝影等醫療圖像技術的持續進步,為更先進、更詳細的診斷能力鋪平了道路。這些進步不僅提高了醫療圖像的質量,還為 CAD 系統創造了機會,使其能夠更好地檢測細微的異常情況並協助醫療專業人員做出準確的診斷。醫療圖像技術的此類創新將加速市場擴張。
CAD 實施包括處理和儲存敏感的患者資料,例如醫學影像和相關醫療記錄。 CAD 系統分析並解釋這些資訊,引發對潛在違規和詐欺存取的擔憂。維護患者資料的隱私和安全對於遵守醫療保健法規以及建立患者和醫療保健提供者的信任至關重要。因此,資料隱私是一個主要問題並抑制了市場需求。
大流行期間對醫療保健和診斷的高度關注凸顯了 CAD 等先進技術在疾病檢測和監測方面的重要性。對更準確、更有效率的診斷工具的需求不斷成長,推動了人們對 CAD 解決方案的興趣,以幫助解釋醫學影像,特別是像 COVID-19 這樣的呼吸道疾病。然而,疫情也為CAD市場帶來了挑戰。醫療機構的財務限制和供應鏈中斷正在影響 CAD 系統的實施。
預計核磁共振成像領域將佔最大佔有率。在電腦輔助檢測中,核磁共振成像在提高影像分析的準確性和效率方面發揮著重要作用。 CAD 系統利用核磁共振成像產生的詳細影像來識別可能表明疾病或狀況存在的潛在異常或可疑模式。此外,NRI 和 CAD 技術的整合提高了檢測率、減少了誤報並提高了整體診斷準確性。
預計腫瘤學領域在預測期內將出現良好的成長。 CAD 技術透過分析醫療圖像資料幫助醫療保健專業人員早期檢測和表徵癌症病變,從而在腫瘤學中發揮變革性作用。在乳房 X 光檢查、 電腦斷層掃描和 MRI 等模式中,CAD 系統利用先進的演算法來識別細微的異常、潛在的腫瘤以及可能預示徵兆的組織結構不規則性。
在估計期間,亞太地區佔據最大的市場佔有率。人們越來越認知到早期疾病檢測的好處以及癌症等疾病盛行率的上升,推動了該地區對 CAD 解決方案的需求。亞太地區各國政府正大力投資醫療保健現代化,為 CAD 市場擴張創造有利的環境。此外,在中國和印度等人口眾多、疾病負擔高的國家,CAD 系統因其在提高診斷準確性和效率方面的作用而獲得認可。
由於穩健的醫療基礎設施和慢性病的高盛行率使 CAD 成為診斷工作流程的關鍵組成部分,預計北美在預測期內將出現盈利成長。尤其美國,由於在研發方面的大量投資、成熟的醫療保健行業以及積極整合最尖端科技的方式,在北美 CAD 市場佔據主導地位。
According to Stratistics MRC, the Global Computer Aided Detection Market is accounted for $818 million in 2023 and is expected to reach $1392 million by 2030 growing at a CAGR of 7.9% during the forecast period. Computer-aided detection (CAD) is a collection of algorithms that use pattern recognition to help physicians interpret medical images. The computer-aided detection software aids in the diagnosis of various diseases, including coronary artery disease, cancer, cardiovascular diseases, and neurological diseases, through imaging modalities such as x-ray imaging, magnetic resonance imaging, ultrasound imaging, and computed tomography.
According to the World Health Organization (WHO) estimates, in 2022, cancer is the leading cause of death worldwide, resulting in approximately 10 million deaths in 2020, or nearly one in six deaths.
Early detection of diseases is crucial, as it enhances the chances of successful treatment and improves patient outcomes. CAD systems integrated with imaging modalities analyze the images and highlight potential areas of concern, aiding radiologists in the early detection of diseases. Moreover, the rising prevalence of chronic diseases such as cancer, cardiovascular diseases, and neurological disorders has heightened the need for early diagnosis. Therefore, growing demand for early disease detection is a significant driver accelerating market demand.
High implementation costs pose a significant restraint to the adoption of computer-aided detection (CAD) systems on the market. Implementing CAD systems requires substantial investment, which includes the cost of acquiring the software, hardware infrastructure, and training of healthcare professionals. CAD software itself can be expensive, especially if it is designed for specific medical specialties or imaging modalities. Additionally, the hardware requirements to support CAD systems, such as high-performance computers and storage solutions, can add to the overall implementation costs.
The continuous evolution of medical imaging technologies, such as computed tomography (CT), magnetic resonance imaging (MRI), and mammography, has paved the way for more sophisticated and detailed diagnostic capabilities. These advancements not only enhance the quality of medical imaging but also create opportunities for CAD systems to excel in their ability to detect subtle abnormalities and assist healthcare professionals in making accurate diagnoses. These innovations in medical imaging technologies accelerate market expansion.
The implementation of CAD involves the processing and storage of sensitive patient data, including medical images and associated health records. As CAD systems analyze and interpret this information, there is a heightened concern for potential breaches and unauthorized access. Maintaining the privacy and security of patient data is crucial to complying with healthcare regulations and building trust among patients and healthcare providers. Therefore, data privacy is a significant concern, hindering market demand.
The increased focus on healthcare and diagnostics during the pandemic has underscored the importance of advanced technologies like CAD in detecting and monitoring diseases. The demand for more accurate and efficient diagnostic tools has risen, driving interest in CAD solutions that can aid in the interpretation of medical images, especially in the context of respiratory illnesses such as COVID-19. However, the pandemic has also presented challenges for the CAD market. Financial constraints on healthcare facilities, coupled with disruptions in the supply chain, have affected the adoption of CAD systems.
The nuclear resonance imaging segment is estimated to hold the largest share. In computer-aided detection, nuclear resonance imaging plays a significant role in enhancing the accuracy and efficiency of image analysis. CAD systems utilize the detailed images generated by nuclear resonance imaging to identify potential abnormalities or suspicious patterns that may indicate the presence of a disease or condition. Moreover, the integration of NRI with CAD technology has led to improved detection rates, reduced false positives, and enhanced overall diagnostic accuracy.
The oncology segment is anticipated to have lucrative growth during the forecast period. CAD technologies play a transformative role in oncology by aiding healthcare professionals in the early detection and characterization of cancerous lesions through the analysis of medical imaging data. In modalities like mammography, CT scans, and MRI, CAD systems utilize advanced algorithms to identify subtle abnormalities, potential tumours, and irregularities in tissue structures that may be indicative of cancer.
Asia Pacific commanded the largest market share during the extrapolated period. The demand for CAD solutions in this region is escalating due to increasing awareness of the benefits of early disease detection and a rising prevalence of diseases like cancer. Governments across Asia-Pacific are investing significantly in healthcare modernization, fostering an environment conducive to CAD market expansion. Additionally, in countries like China and India, where large populations contribute to a high disease burden, CAD systems are gaining traction for their role in improving diagnostic accuracy and efficiency.
North America is expected to witness profitable growth over the projection period, owing to robust healthcare infrastructure, coupled with a high prevalence of chronic diseases, positions CAD as a crucial component in diagnostic workflows. The United States, in particular, dominates the North American CAD market, owing to substantial investments in research and development, a well-established healthcare sector, and a proactive approach to integrating cutting-edge technologies.
Some of the key players in the Computer Aided Detection Market include Hologic Inc, CANON Medical Systems Corporation, EDDA Technology, Inc, Koninklijke Philips N.V, Siemens, FUJIFILM Holdings Corporation, NANO-X Imaging LTD., General Electric, IBM, Riverain Technologies, iCAD Inc, Median Technologies, Carestream Health, Shimadzu Analytical (India) Pvt. Ltd and Karyopharm.
In October 2023, Hologic, Inc., a global leader in women's health, announced an innovative new partnership with the American Association of Gynecologic Laparoscopists (AAGL) and Inovus Medical.
In October 2023, Hologic, Inc., a global leader in women's health, announced an innovative new partnership with the American Association of Gynecologic Laparoscopists (AAGL) and Inovus Medical. Hologic becomes the chief provider of hystero scopes for AAGL's Essentials in Minimally Invasive Gynecologic Surgery (EMIGS) hands-on hysteroscopy skills training for OB-GYN residents.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.