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医学图像分析软件全球市场规模、份额、行业趋势分析报告展望和按类型、模式、最终用户、应用、地区预测,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 |
医学图像分析软件市场规模预计在预测期内以 11.4% 的复合年增长率增长,到 2028 年达到 66 亿美元。
此外,近年来随着人工智能 (AI) 的出现,医学图像分析软件市场不断发展,预计在不久的将来会继续发展。 基于 AI 的解决方案在医学成像中的应用包括图像分析、临床决策支持、诊断和检测。 虽然 AI 在 MRI 和 CT 技术中的应用仍处于起步阶段,但预计在预测期内对效率、准确性和患者安全的需求将会增长。
不断增长的消费者需求是由采用多模态成像平台和 3D 成像等技术先进的产品以及使用这些系统的高分辨率成像、易用性和灵活性等优势推动的。 未来几年,技术先进的产品的推出和有效的信息管理系统的开发预计将推动市场扩张。
COVID-19 影响分析
临床和医学应用(例如分析胸部扫描和诊断 COVID-19 患者)对医学图像分析软件的需求增加,据信对市场产生了积极影响。 全球远程医疗的使用也急剧增加。 患者可以与医疗保健专业人员进行远程通信并共享医疗记录,包括来自 X 射线、磁共振成像 (MRI)、超声和其他成像模式的图像。 这些因素正在支持医学图像分析软件市场的扩张。
市场增长因素
将人工智能纳入医学图像分析软件
医学成像已被证明是诊断和监测严重疾病和失调的重要工具。 人工智能 (AI) 改进了医学图像处理和分析。 AI 驱动的医学图像分析软件使用大量医学数据来识别从 X 射线、磁共振成像 (MRI)、超声图像等获得的医学图像中的特定解剖标记。训练算法以 通过对图像算法和医学图像模式的严格研究,用于医学图像分析的 AI 支持软件可以得出指标和输出。
医学图像处理系统的技术改进
ML 可以使放射科医生自动发现、解释和质量控制放射图像中的结果,以及通过自动关联和集成照片与其他数据来发现、解释和剂量估计。有一个性质。 通过数据驱动的决策制定,床旁医学成像可以支持放射科医生、护理人员、医生和患者加快诊断和治疗。 预计此类创新技术进步将在未来几年支持医学图像分析软件市场的增长。
市场约束
对软件合规性和安全性的担忧不断增加
在医学图像分析软件市场,黑客可以轻鬆操纵系统设备,这使得数据洩露和对患者治疗结果的影响成为一项重大挑战。 此外,对软件的依赖增加加剧了错误、故障和网络漏洞等问题。 由于意外故障和黑客攻击的负面影响,医疗保健专业人员对将图像分析软件等 IT 解决方案用于医疗实践持谨慎态度。 篡改医疗设备可能会降低医疗效果并对患者产生不利影响。 这可能成为未来几年市场扩张的障碍。
按类型划分的前景
根据类型,医学图像分析软件市场分为集成式和独立式。 到 2021 年,集成类型将在医学图像分析软件市场中占据最高的收入份额。 其中很大一部分归因于使用这些解决方案的好处。 各种放射学应用程序都可以从集成工具包的工作流程改进中受益。 诸如可负担性、集中存储数据以及访问可由不同用户处理的实时数据等优势有望提高集成系统的接受度,从而进一步提高该细分市场的收入份额。
模态展望
按模式,医学图像分析软件市场分为计算机断层扫描、磁共振成像、超声、联合模式等。 2021 年,超声部分在医学图像分析软件市场中占据了显着的收入份额。 超声是用于器官和软组织成像的主要技术之一。 超声成像是一种非侵入性、无辐射的成像技术。 此外,成像可以实时完成。 与其他医学成像方法相比,超声波是一种低成本的程序。 医学图像分析和计算机辅助干预领域关注的是减少数字图像的数量。
应用展望
按应用划分,医学图像分析软件市场分为骨科、牙科、神经科、心脏病科、肿瘤科等。 到 2021 年,医学影像市场预计将在神经病学领域占据显着的收入份额。 这是因为脑肿瘤、肿瘤和其他脑部相关疾病的患病率上升将增加 CT 和 MRI 的使用,从而在预测期内提振软件市场。 对医疗行业最新技术突破的日益关注也对市场扩张产生了重大影响。
最终用户视角
基于最终用户,医学图像分析软件市场分为医院、诊断中心等。 2021 年,医院部门在医学图像分析软件市场中的收入份额最大。 使用医学图像分析软件执行外科手术所必需的支持基础设施是促进该细分市场增长的最重要方面之一。 与研究和诊断设施相比,诊断成像设备和解决方案在医院的安装基础更大。 此外,患者的涌入量非常大。 因此,终端用户市场继续保持其主导地位。
区域展望
按地区划分,对北美、欧洲、亚太地区和拉美地区的医学图像分析软件市场进行了分析。 2021 年,北美地区将以最高的收入份额引领医学图像分析软件市场。 它的崛起归因于拥有完善的医疗设施和先进的诊断设备,以及促进该地区采用医疗信息技术的有利政府政策。 此外,研发支出的增加和市场进入者的出现也有助于该地区的市场扩张。
合作伙伴关係是市场进入者采取的主要策略。 根据 Cardinal Matrix 中包含的分析,GE Healthcare Technologies、Siemens AG 和 Canon Medical Systems Corporation 是医学图像分析软件市场的领导者。 Koninklijke Philips N.V.、MIM Software, Inc. 和 Spacelabs Healthcare (OSI Systems, Inc.) 等公司是医学图像分析软件市场的主要创新者。
医学图像分析软件市场的近期发展战略
伙伴关係、协作和协议:
Product Launch and Product Expansion:产品发布和产品扩展
收购与兼併
批准和临床试验
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