市場調查報告書
商品編碼
1261452
醫學圖像分析軟件全球市場規模、份額、行業趨勢分析報告展望和按類型、模式、最終用戶、應用、地區預測,2022-2028 年Global Medical Image Analysis Software Market Size, Share & Industry Trends Analysis Report By Type, By Modality, By End User, By Application, By Regional Outlook and Forecast, 2022 - 2028 |
醫學圖像分析軟件市場規模預計在預測期內以 11.4% 的複合年增長率增長,到 2028 年達到 66 億美元。
此外,近年來隨著人工智能 (AI) 的出現,醫學圖像分析軟件市場不斷發展,預計在不久的將來會繼續發展。 基於 AI 的解決方案在醫學成像中的應用包括圖像分析、臨床決策支持、診斷和檢測。 雖然 AI 在 MRI 和 CT 技術中的應用仍處於起步階段,但預計在預測期內對效率、準確性和患者安全的需求將會增長。
不斷增長的消費者需求是由採用多模態成像平台和 3D 成像等技術先進的產品以及使用這些系統的高分辨率成像、易用性和靈活性等優勢推動的。 未來幾年,技術先進的產品的推出和有效的信息管理系統的開發預計將推動市場擴張。
COVID-19 影響分析
臨床和醫學應用(例如分析胸部掃描和診斷 COVID-19 患者)對醫學圖像分析軟件的需求增加,據信對市場產生了積極影響。 全球遠程醫療的使用也急劇增加。 患者可以與醫療保健專業人員進行遠程通信並共享醫療記錄,包括來自 X 射線、磁共振成像 (MRI)、超聲和其他成像模式的圖像。 這些因素正在支持醫學圖像分析軟件市場的擴張。
市場增長因素
將人工智能納入醫學圖像分析軟件
醫學成像已被證明是診斷和監測嚴重疾病和失調的重要工具。 人工智能 (AI) 改進了醫學圖像處理和分析。 AI 驅動的醫學圖像分析軟件使用大量醫學數據來識別從 X 射線、磁共振成像 (MRI)、超聲圖像等獲得的醫學圖像中的特定解剖標記。訓練算法以 通過對圖像算法和醫學圖像模式的嚴格研究,用於醫學圖像分析的 AI 支持軟件可以得出指標和輸出。
醫學圖像處理系統的技術改進
ML 可以使放射科醫生自動發現、解釋和質量控制放射圖像中的結果,以及通過自動關聯和集成照片與其他數據來發現、解釋和劑量估計。有一個性質。 通過數據驅動的決策制定,床旁醫學成像可以支持放射科醫生、護理人員、醫生和患者加快診斷和治療。 預計此類創新技術進步將在未來幾年支持醫學圖像分析軟件市場的增長。
市場約束
對軟件合規性和安全性的擔憂不斷增加
在醫學圖像分析軟件市場,黑客可以輕鬆操縱系統設備,這使得數據洩露和對患者治療結果的影響成為一項重大挑戰。 此外,對軟件的依賴增加加劇了錯誤、故障和網絡漏洞等問題。 由於意外故障和黑客攻擊的負面影響,醫療保健專業人員對將圖像分析軟件等 IT 解決方案用於醫療實踐持謹慎態度。 篡改醫療設備可能會降低醫療效果並對患者產生不利影響。 這可能成為未來幾年市場擴張的障礙。
按類型劃分的前景
根據類型,醫學圖像分析軟件市場分為集成式和獨立式。 到 2021 年,集成類型將在醫學圖像分析軟件市場中佔據最高的收入份額。 其中很大一部分歸因於使用這些解決方案的好處。 各種放射學應用程序都可以從集成工具包的工作流程改進中受益。 諸如可負擔性、集中存儲數據以及訪問可由不同用戶處理的實時數據等優勢有望提高集成系統的接受度,從而進一步提高該細分市場的收入份額。
模態展望
按模式,醫學圖像分析軟件市場分為計算機斷層掃描、磁共振成像、超聲、聯合模式等。 2021 年,超聲部分在醫學圖像分析軟件市場中佔據了顯著的收入份額。 超聲是用於器官和軟組織成像的主要技術之一。 超聲成像是一種非侵入性、無輻射的成像技術。 此外,成像可以實時完成。 與其他醫學成像方法相比,超聲波是一種低成本的程序。 醫學圖像分析和計算機輔助干預領域關注的是減少數字圖像的數量。
應用展望
按應用劃分,醫學圖像分析軟件市場分為骨科、牙科、神經科、心髒病科、腫瘤科等。 到 2021 年,醫學影像市場預計將在神經病學領域佔據顯著的收入份額。 這是因為腦腫瘤、腫瘤和其他腦部相關疾病的患病率上升將增加 CT 和 MRI 的使用,從而在預測期內提振軟件市場。 對醫療行業最新技術突破的日益關注也對市場擴張產生了重大影響。
最終用戶視角
基於最終用戶,醫學圖像分析軟件市場分為醫院、診斷中心等。 2021 年,醫院部門在醫學圖像分析軟件市場中的收入份額最大。 使用醫學圖像分析軟件執行外科手術所必需的支持基礎設施是促進該細分市場增長的最重要方面之一。 與研究和診斷設施相比,診斷成像設備和解決方案在醫院的安裝基礎更大。 此外,患者的湧入量非常大。 因此,終端用戶市場繼續保持其主導地位。
區域展望
按地區劃分,對北美、歐洲、亞太地區和拉美地區的醫學圖像分析軟件市場進行了分析。 2021 年,北美地區將以最高的收入份額引領醫學圖像分析軟件市場。 它的崛起歸因於擁有完善的醫療設施和先進的診斷設備,以及促進該地區採用醫療信息技術的有利政府政策。 此外,研發支出的增加和市場進入者的出現也有助於該地區的市場擴張。
合作夥伴關係是市場進入者採取的主要策略。 根據 Cardinal Matrix 中包含的分析,GE Healthcare Technologies、Siemens AG 和 Canon Medical Systems Corporation 是醫學圖像分析軟件市場的領導者。 Koninklijke Philips N.V.、MIM Software, Inc. 和 Spacelabs Healthcare (OSI Systems, Inc.) 等公司是醫學圖像分析軟件市場的主要創新者。
醫學圖像分析軟件市場的近期發展戰略
夥伴關係、協作和協議:
Product Launch and Product Expansion:產品發布和產品擴展
收購與兼併
批准和臨床試驗
The Global Medical Image Analysis Software Market size is expected to reach $6.6 billion by 2028, rising at a market growth of 11.4% CAGR during the forecast period.
Medical personnel can track, archive, organize, and manipulate patient images using medical image analysis software. In addition, diagnostic equipment must have medical image analysis software since it enhances the qualities of an image, improving the effectiveness or efficiency of medical therapy. The purpose of this software is to save, view, train, and share medical data.
Growing demand for diagnostic imaging software in disciplines, including dental, orthopedics, neurology, urology, and oncology, is projected to expand the market. Furthermore, the need is anticipated to increase as ultrasonic imaging devices are used more frequently for quicker diagnosis, particularly chronic disorders. Additionally, it is projected that ongoing advancements in imaging technologies, like computer-aided diagnosis (CAD), would increase demand for these systems.
Furthermore, medical image analysis software market dynamics have evolved in recent years as a result of the advent of artificial intelligence (AI), and this is expected to continue in the near future. Applications for AI-based solutions in medical imaging include image analysis, clinical decision support, diagnosis, and detection. Although the use of AI in MRI and CT technologies is still in its infancy, it is projected that demand for efficiency, accuracy and patient safety will grow throughout the forecast period.
Growing consumer demand is fueled by the adoption of technologically advanced goods such as multimodality imaging platforms and 3D imaging, as well as the advantages of using these systems, like high-resolution imaging, easy use, and flexibility. In the upcoming years, the market expansion is anticipated to be fueled by the release of technologically sophisticated products and the development of effective information management systems.
COVID-19 Impact Analysis
The market was positively impacted by the rise in demand for medical image analysis software used in clinical or medical applications to analyze chest scan pictures and diagnose COVID-19-infected patients. Also, there was a huge surge in the usage of telehealth globally. Patients might communicate with medical professionals remotely and share their medical records, including X-ray, magnetic resonance imaging (MRI), ultrasound, and other imaging modalities' images. These elements supported the expansion of the market for medical image analysis software.
Market Growth Factors
Incorporation of AI in medical image analysis software
Medical imaging has proven to be an indispensable diagnostic and monitoring tool for serious diseases and disorders. Artificial intelligence (AI) improves picture processing and analysis in medical imaging. AI-enabled medical image analysis software utilizes enormous quantities of medical data to train its algorithms to recognize certain anatomical markers in medical pictures acquired from X-rays, magnetic resonance imaging (MRI), ultrasound imaging, and other modalities. Using image algorithms and a rigorous study of medical picture patterns, AI-enabled software for medical image analysis derives metrics and outputs.
Technological enhances in medical imaging systems
ML will enable radiologists to discover and interpret results, control quality, and potentially automate findings, interpretations, and dosage estimation in radiological imaging by automating the correlation and integration of pictures with other data. Using data-driven decisions, point-of-care medical imaging also supports radiologists, emergency personnel, doctors, and patients in hastening diagnosis and treatment. These innovative technological advancements are anticipated to support the growth of the medical image analysis software market in the upcoming years.
Market Restraining Factors
Rising concern regarding the software's compliance & security
In the medical image analysis software market, hacking is a significant issue because hackers can readily manipulate system equipment, leading to data breaches or affecting patient outcomes. In addition, the growing reliance on software exacerbates problems such as bugs, malfunctions, and cyber vulnerability. Due to the detrimental effects of inadvertent malfunction and hacking, healthcare practitioners are cautious about using IT solutions, like image analysis software, in medical procedures. Loss of effectiveness & adverse consequences on patients may come from tampering with medical equipment. This may be an obstacle to the expansion of the market in the years to come.
Type Outlook
Based on type, the medical image analysis software market is segmented into integrated and standalone. In 2021, the integrated segment held the highest revenue share in the medical image analysis software market. This large proportion is attributed to the advantages of using these solutions. A variety of radiology applications can benefit from the integrated toolkit's improved workflow. Increased acceptance of integrated systems because of their advantages-affordability, centralized data storage, and access to real-time data for various users to process-is projected to further expand the segment's revenue share.
Modality Outlook
On the basis of modality, the medical image analysis software market is fragmented into computed tomography, magnetic resonance imaging, ultrasound, combined modalities and others. In 2021, the ultrasound segment recorded a remarkable revenue share in the medical image analysis software market. Ultrasound is among the primary techniques used for imaging organs and soft tissues. Ultrasonic imaging is a non-invasive, radiation-free imaging technology. Moreover, it offers imaging in real-time. Ultrasound is a low-cost procedure when compared to other medical imaging methods. The domains of medical image analysis and computer-assisted interventions are concerned with reducing digital picture volume.
Application Outlook
By application, the medical image analysis software market is divided into orthopedic, dental, neurology, cardiology, oncology and others. In 2021, the neurology segment projected a prominent revenue share in the medical imaging market. This is due to the rising prevalence of brain cancer, tumors, and other brain-related disorders, leading to the increased usage of CT and MRI, pushing the market for software over the forecast period. In addition, the increased emphasis on the most recent technological breakthroughs in the medical industry has a substantial impact on the expansion of the market.
End User Outlook
Based on end user, the medical image analysis software market is bifurcated into hospitals, diagnostic centers and others. In 2021, the hospital segment registered the maximum revenue share in the medical image analysis software market. Supportive infrastructure, which is essential for performing surgical procedures with medical imaging software, is one of the most important aspects contributing to the segment's growth. The installed base of diagnostic imaging equipment and solutions is greater in hospitals compared to research and diagnostic facilities. In addition, the influx of patients is significantly greater. Hence, the end-use market continues to maintain its advantage.
Regional Outlook
Region wise, the medical image analysis software market is analyzed across North America, Europe, Asia Pacific and LAMEA. In 2021, the North America region led the medical image analysis software market by generating the highest revenue share. Its rise is attributable to the availability of well-established medical facilities with sophisticated diagnostic equipment and favorable government measures that encourage the deployment of healthcare information technology in this region. In addition, increasing R&D expenditures and the presence of important market participants also contribute to expanding the regional market.
The major strategies followed by the market participants are Partnerships. Based on the Analysis presented in the Cardinal matrix; GE HealthCare Technologies, Inc., Siemens Healthineers AG (Siemens AG), Canon, Inc.(Canon Medical Systems Corporation) are the forerunners in the Medical Image Analysis Software Market. Companies such as Koninklijke Philips N.V., MIM Software, Inc. and Spacelabs Healthcare (OSI Systems, Inc.) are some of the key innovators in Medical Image Analysis Software Market.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Canon, Inc. (Canon Medical Systems Corporation), Koninklijke Philips N.V., GE HealthCare Technologies, Inc., Siemens Healthineers AG (Siemens AG), Spacelabs Healthcare (OSI Systems, Inc.), Agfa-Gevaert Group, MIM Software, Inc., Esaote SpA, Aquilab SAS (Coexya), and Merative L.P. (Francisco Partner)
Recent Strategies Deployed Medical Image Analysis Software Market
Partnerships, Collaborations and Agreements:
Feb-2023: Agfa joined hands with Lunit, a company engaged in the development of medical AI software. This collaboration would aim to provide clinicians with the latest critical findings notification workflow by combining the Lunit INSIGHT CXR software in the MUSICA Workstation. Additionally, Agfa would aim to deliver on its vision to transform digital radiography.
Nov-2022: GE Healthcare teamed up with MediView XR, an augmented reality med-tech company. Under this collaboration, Companies would develop the OmnifyXR Interventional Suite System for the combination of medical imaging into mixed-reality solutions. Additionally, the collaboration intends to develop precision care utilizing remote collaboration, intuitive visualization, and evidence-based insight.
Jul-2022: Siemens Healthineers partnered with Subtle Medical, a provider of artificial intelligence solutions for medical imaging. Following the partnership, Siemens Healthineers Open Recon, the company's reconstruction pipeline subtle Medical's SubtleMR™ image-enhancement software. Moreover, this partnership would deliver better time savings to existing Siemens customers.
Apr-2022: Philips entered into a partnership with Prisma, the industry's most complete Cloud Native Application Protection Platform. This partnership aimed to improve healthcare across the enterprise and unleash the power of patient data. Through the Philips HealthSuite safeguard cloud platform at its foundation, Philips would strengthen enterprise interoperability, standardize patient monitoring, and boost innovation in enterprise imaging solutions to improve patient care and enhance clinical performance.
Feb-2022: MIM Software, Inc. partnered with AMG Medtech Ltd., a provider of artificial intelligence, software solutions, and process improvement medical technologies throughout a variety of diagnostic and therapy care paths. This partnership would focus on advancing MIM software's prospective and existing customer base in the United Kingdom and Ireland.
Dec-2021: Canon Medical teamed up with Spectronic Medical, a research, and development company. This collaboration aimed to provide integrated AI solutions for precise radiotherapy planning in MRI.
Jul-2021: Canon came into a partnership with Cleerly, a digital healthcare company. Under this partnership, the companies would facilitate simple and streamlined adoption of cardiac CT and introduce new standards of heart disease care.
Apr-2021: Siemens Healthineers came into a partnership with Radlink, a leading medical device manufacturer. This partnership aimed to introduce Radlink HIP and Radlink TRAUMA Software Apps, which would offer a fully integrated, app-based solution for orthopedic surgeons to simplify intraoperative imaging guidance, verify component positioning and enhance efficiency during surgery.
Mar-2021: Siemens Healthineers announced a partnership with Epsilon Imaging, a provider of visualization and analysis software. Through this partnership, Siemens Healthineers would broaden precision medicine into routine care by combining a vendor-neutral tool for training imaging into cardiovascular clinical practice.
Mar-2021: Royal Philips partnered with DiA Imaging Analysis, a leader in providing AI-powered applications for ultrasound. Following this partnership, the companies would offer automated solutions to clinicians at the point of care. Additionally, Philips's high image quality in combination with the AI library of automated solutions of DiA Imaging Analysis would help increase operational efficiency, diagnostic confidence, and access to care for Point-of-Care customers everywhere.
Product Launches and Product Expansions:
Nov-2022: Philips announced the launch of The Advanced Visualization Workspace, the new version of Philips' diagnostic imaging platform. The platform is created to connect a hospital's neurology, radiology, cardiology, and oncology departments in one virtual space, enabling them to ease the process of sharing patient data and communicating with each other regarding the result and diagnosis.
Apr-2021: Royal Philips expanded its product line by introducing improved digital diagnostic and interventional neurovascular imaging solutions in the new Central Acute Services Building at Westmead Hospital in Sydney, Australia. This latest technology would offer up-to-date MR information at any time while surgical procedures that would assist clinicians to develop real-time adjustments to treatment in such procedures.
Acquisitions and Mergers:
Feb-2023: GE Healthcare signed an agreement to acquire Caption Health, an AI healthcare company. With this acquisition, Caption Health's AI application would help allow consistent, reliable ultrasound examinations to provide more precise diagnoses, improved treatment decision-making, and further better patient outcomes.
Feb-2023: Spacelabs Healthcare completed the acquisition of PeraHealth, a predictive analytics company. Through this acquisition, PeraHealth's powerful analytics would be combined with Spacelabs' digital health offering. Also, the acquisition would further help healthcare businesses provide better outcomes and decrease costs with a better picture of their patient's health.
Jan-2023: GE HealthCare took over IMACTIS, a France-based company that created CT-Navigation. CT-Navigation is a unique interventional radiological innovation for the advantage of patients and caregivers. Following this acquisition, companies would offer substantial expansion opportunities for the IMACTIS CT-Navigation system with the help of GE Healthcare's global presence and infrastructure.
Approvals and Trials:
Sep-2022: GE Healthcare got FDA approval for AIR Recon DL software, a MRI software. The product produces better image quality and offers patients a quick trip inside the scanner.
Apr-2021: Philips received FDA approval for SmartCT 3D imaging software, an image acquisition, visualization, and measurement software. The Product would be able to improve streamline workflows, and clinical confidence, and accelerate productivity by bringing the intuitive touchscreen controls of advanced 3D image acquisition, visualization, quantitative measurements, and vessel/organ segmentation inside the uncontaminated zone of the intervention lab and the table-side.
Market Segments covered in the Report:
By Type
By Modality
By End User
By Application
By Geography
Companies Profiled
Unique Offerings from KBV Research
List of Figures