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支援 AI 的 X 光成像解决方案市场报告：到 2030 年的趋势、预测和竞争分析

AI-Enabled X-Ray Imaging Solutions Market Report: Trends, Forecast and Competitive Analysis to 2030
出版日期: | 出版商: Lucintel | 英文 150 Pages | 商品交期: 3个工作天内

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简介目录

支援人工智慧的 X 射线成像解决方案的趋势和预测

到 2030 年，全球人工智慧 X 光成像解决方案市场预计将达到 3 亿美元，2024 年至 2030 年复合年增长率为 12.6%。该市场的主要驱动力是医疗保健行业的显着增长、人工智慧（AI）和其他计算演算法的日益整合以及不断的技术进步。全球人工智慧 X 光成像解决方案市场的未来看起来充满希望，普通和专业放射学市场也充满机会。

Lucintel 预测，由于人工智慧技术的上升趋势以及投资者对软体製造商的资金增加，软体将在预测期内实现最高成长。

在这个市场中，专业放射学将继续成为最大的细分市场。

由于领先的人工智慧解决方案提供商的存在以及支援人工智慧的 X 射线成像解决方案的日益普及，预计北美在预测期内将出现最高的增长。

AI支援的X射线成像解决方案市场新趋势

基于人工智慧的 X 光成像解决方案市场正在经历转型，有几个关键趋势支持其进步和商业化。以下是五个新兴趋势：

  • 改进诊断：人工智慧演算法可以透过识别放射科医生可能错过的细微问题来帮助改进诊断。这些发展将带来更快、更准确的诊断，并改善临床手术结果。
  • 影像现场诊断：人工智慧技术的进一步发展，当患者进行X光检查时，不仅可以判读影像，还可以识别结果并立即向医生报告。这项发展将改善业务流程并实现更快的决策，这对于医疗紧急情况和严重疾病爆发至关重要。
  • 与 EHR 的互通性：人工智慧驱动的 X 光检查系统从电子健康记录(EHR) 中捕获患者资料，以加强患者管理。这样可以轻鬆搜寻患者资料并增强诊断和治疗计划的整合。
  • 紧凑型行动人工智慧系统：在撒哈拉以南非洲和人口稀少的地区，可携式和移动 X 光人工智慧系统的引入使得诊断影像服务的提供成为可能。这样的解决方案带来了舒适和便利，让更多人的拍摄过程成为可能。
  • 利用人工智慧增强工作流程管理：人工智慧透过接管影像撷取和影像报告等单调任务来改善成像工作流程。这种现象减少了放射科医师的工作量，提高了业务效率，并使得其他复杂的案例研究成为可能。

这些趋势正在改变诊断 X 光成像市场，使影像更容易以更好的方式理解，提高诊断准确性并使影像处理过程更有效率。

支援人工智慧的 X 光成像解决方案市场的最新趋势

近年来，人工智慧驱动的 X 光成像解决方案市场见证了各种重大发展。以下是有关五个值得注意的发展的一些有趣资讯：

  • 人工智慧演算法最近 FDA核准：FDA 对人工智慧演算法的核准是美国市场的一个里程碑。这些演算法也被用来识别骨折和癌症，以推进诊断和临床决策。
  • 人工智慧帮助下的 X 光诊断策略：透过 GIS 和影像处理引入新型诊断策略可以改变 X 光的解释方式。这些平台结合了先进的影像分析、即时回馈和预测分析，以增强工作流程和效率。
  • 次区域层面人工智慧解决方案的成长：同样，中国和印度也在努力为农村和服务欠缺地区部署具有人工智慧功能的 X 射线系统。这一增长旨在扩大优质诊断成像服务的分布并解决健康差距。
  • 合作整合人工智慧：在日本和德国，私营部门伙伴关係已被证明有利于开发整合人工智慧的 X 射线系统。这些伙伴关係关係旨在将人工智慧纳入目前的影像处理平台，以提高工作准确性和效率。
  • 具有人工智慧成像功能的X光设备可推断移动性：整合人工智慧的新一代可携式X 射线系统也支援移动性和现场诊断。这些系统提供移动性并提高可用性，特别是在偏远地区或发生紧急情况时。

提高诊断准确性、提高可用性和简化成像流程等进步正在进一步推动人工智慧 X 光成像市场的成长。

人工智慧 X 光成像解决方案市场的策略性成长机会

人工智慧技术驱动的X射线成像解决方案市场为各领域的成长提供了持续的开拓潜力。以下是成长潜力的五个关键领域：

  • 扩展远端影像诊断：透过远端X光影像诊断服务扩展AI赋能的X光影像诊断，PH Agent可以扩展远距离诊断的范围。这项服务缓解了这些患者缺乏诊断影像服务的问题，并能够与专家进行远距会诊。
  • 放射学中的人工智慧：将支援人工智慧的骨 X 光解决方案引入重症加护环境有利于缩短诊断时间。人工智慧系统能够在很短的时间内分析并提供支援和睡眠帮助，这对于处理紧急情况和改善患者的治疗效果至关重要。
  • 用于预防性筛检的人工智慧：在筛检计画中使用人工智慧的目的是改善癌症和心血管疾病等疾病的早期发现。透过使用 X 光影像的演算法来筛检疾病，您可以在疾病变得严重之前管理您的健康。
  • 综合方法：有机会瞄准结合人工智慧的 X 光系统，并将其与 EHR 和健康资讯交流等现有先进系统互连。这种整合可以更好地协调成像程序及其治疗，从而提供先进的患者照护。
  • 面向新兴经济体的具有成本效益的人工智慧平台：新兴经济体在改进具有成本效益的人工智慧整合X射线解决方案方面具有巨大潜力。此类解决方案满足了对高品质、快速诊断服务的需求，并扩大了资源匮乏国家的医疗保健服务范围。

这种成长机会是由人工智慧优化的 X 光影像遥测技术推动的，因为开发出更有效率的诊断方法，为更多患者提供服务，并提供了最好的医疗服务。

使用人工智慧的 X 光成像解决方案市场的驱动因素和挑战

人工智慧驱动的 X 光成像解决方案市场由某些特征主导，包括市场驱动因素和挑战。主要有以下几个因素：

推动人工智慧 X 光成像解决方案市场的因素包括：

1.技术进步：各种人工智慧和机器学习技术的快速发展将导致更先进的X射线成像解决方案的创建。这些技术提高了诊断影像的品质并扩大了视野。

2.对诊断准确性的要求不断提高：对提高诊断和影像效率的要求越来越高。人工智慧驱动的 X 光解决方案可以透过提供先进的影像判读和诊断支援来帮助满足这一需求。

3.政府机构和医疗保健系统的投资：当局和医疗保健机构在先进诊断成像模式上的支出正在推动市场开拓。整合人工智慧和确保财政资源来建立必要係统的努力正在带来与人工智慧采用相关的重大进步和有效利用。

4.医疗服务成本上升：控制医疗服务成本上升的动力正在推动人工智慧技术的集成，以提高业务效率并降低成本。人工智慧技术有助于加强资源管理和成本控制。

5. 越来越重视预防和早期诊断：此外，人们越来越重视早期诊断和预防医学。这些系统可以帮助早期诊断，进而改善患者的健康。

支援人工智慧的 X 光成像解决方案市场面临的挑战包括：

1. 人工智慧整合高成本：将人工智慧整合到正常运作的X光设备中的成本高昂，这是采用的障碍。这项挑战导致先进的成像技术变得可用但并未广泛使用。

2. 监管障碍：遵守基于人工智慧的医疗设备的监管途径要求可能是一个困难且耗时的过程。在进入市场之前满足这些监管要求的任何延迟都会影响采用水准。

因此，这些驱动因素和挑战正在塑造人工智慧 X 光成像诊断市场，进而影响该产业的成长模式和新技术的采用。

基于人工智慧的 X 光成像解决方案（按细分市场）

该研究包括按类型、部署、工作流程、应用程式和区域对全球人工智慧支援的 X 射线成像解决方案进行预测。

人工智慧 X 射线成像解决方案市场的国家前景

随着诊断成像系统引入新的人工智慧 (AI) 功能，人工智慧驱动的 X 光诊断成像系统市场正在不断扩大。此类技术的开发主要旨在提高诊断效率、改善工作流程和改善患者的治疗结果。以下是重点地区近期发展概况：

  • 美国：美国市场在 X 光成像中的人工智慧整合方面取得了快速发展，放射科医生使用 FDA核准的演算法来检测肺癌和骨折等特征。其他公司正在努力为放射科医生开发介面，使用人工智慧驱动的工具来监测患者并执行即时影像诊断，从而提高临床表现。
  • 中国 对于中国来说，它寻求在已开发和欠发达地区提供人工智慧驱动的 X 射线成像解决方案。最近的进展包括政府与当地医院合作推出的计划，以在公共卫生系统中实施人工智慧。新的人工智慧演算法正在扩大疾病检测和影像增强的范围，使诊断过程更加高效和容易。
  • 德国 德国也透过科技公司和医疗保健专业人士之间的新合作伙伴关係，在 X 光诊断成像中引入新的人工智慧技术方面取得进展。新的发展包括利用人工智慧增强诊断的诊断影像系统以及可以与电子健康记录（EHR）互动的系统。这些技术旨在提高临床环境中医生和患者的管理效率。
  • 印度人工智慧支援的 X 光成像诊断的成长是由与当地新兴企业和其他科技公司的合作所推动的。最近的创新旨在以低成本向放射中心和医院提供人工智慧系统，以满足世界对诊断成像服务日益增长的需求。这些解决方案旨在改善诊断结果并减轻放射科医师的负担。
  • 日本：与此同时，日本正转向以人工智慧为基础的 X 光系统，利用先进的演算法进行影像分析。其他进步包括人工智慧系统，可以帮助早期诊断骨骼和肺部疾病等疾病。人工智慧技术的采用正在提高这些地区辐照设施的医疗诊断准确性和影像处理过程的效率。

常见问题

Q.1 AI X光影像诊断解决方案的市场规模有多大？

A1. 到 2030 年，全球人工智慧 X 光成像解决方案市场预计将达到 3 亿美元。

Q.2 AI 支援的 X 光成像解决方案市场的成长预测如何？

A2. 预计 2024 年至 2030 年，全球人工智慧 X 光成像解决方案市场将以 12.6% 的复合年增长率成长。

Q.3 影响人工智慧 X 光成像解决方案市场成长的关键驱动因素有哪些？

A3. 该市场的主要驱动力是医疗保健行业的显着增长、人工智慧 (AI) 和其他计算演算法的日益整合以及持续的技术进步。

Q4.市场的主要细分市场是：

A4.人工智慧X射线成像解决方案市场的未来看起来充满希望，一般放射学和专业放射学市场也充满机会。

Q5.市场的主要企业是：

A5.提供人工智慧X射线成像解决方案的主要企业有：

  • Arterys
  • Behold.ai Technologies
  • Imagen Technologies
  • Infervision Medical Technology
  • Lunit
  • Qure.ai Technologies
  • Vuno

Q6.未来最大的细分市场是什么？

A6.Lucintel 预测，由于人工智慧技术的上升趋势以及投资者对软体製造商的资金增加，软体将在预测期内实现最高成长。

Q7. 未来五年预计哪些地区的市场成长最大？

A7. 由于领先的人工智慧解决方案提供商的存在以及支援人工智慧的 X 射线成像解决方案的日益普及，预计北美地区将在预测期内实现最高增长。

Q8. 可以客製化报告吗？

A8. 是的，Lucintel 提供 10% 的客製化服务，无需额外付费。

目录

第一章执行摘要

第二章全球人工智慧 X 光成像解决方案市场：市场动态

  • 简介、背景、分类
  • 供应链
  • 产业驱动因素与挑战

第三章 2018-2030年市场趋势及预测分析

  • 宏观经济趋势（2018-2023）与预测（2024-2030）
  • 全球人工智慧X射线成像解决方案市场趋势（2018-2023）和预测（2024-2030）
  • 人工智慧 X 光成像解决方案的全球市场（按类型）
    • 软体
    • 硬体
  • 按部署分類的人工智慧 X 光成像解决方案市场
    • 云端基础和网路
    • 本地
  • 按工作流程分類的人工智慧 X 光成像解决方案的全球市场
    • 侦测
    • 影像撷取
    • 影像分析
    • 诊断和治疗决策支持
    • 分类
    • 预测分析和风险评估
    • 报告与沟通
  • 按应用分類的人工智慧 X 光成像解决方案的全球市场
    • 普通放射学
    • 专业放射学

第四章 2018-2030年区域市场趋势及预测分析

  • 按地区分類的人工智慧 X 光成像解决方案的全球市场
  • 北美人工智慧 X 光成像解决方案市场
  • 欧洲人工智慧 X 光成像解决方案市场
  • 亚太地区人工智慧 X 光成像解决方案市场
  • 其他地区人工智慧X射线成像解决方案市场

第五章 竞争分析

  • 产品系列分析
  • 营运整合
  • 波特五力分析

第六章 成长机会与策略分析

  • 成长机会分析
    • 全球人工智慧 X 光成像解决方案市场的成长机会（按类型）
    • 全球人工智慧 X 光成像解决方案市场成长机会（按部署）
    • 全球人工智慧 X 光成像解决方案市场成长机会（按工作流程）
    • 全球人工智慧 X 光成像解决方案市场成长机会（按应用）
    • 全球人工智慧 X 光成像解决方案市场成长机会（按地区）
  • 全球人工智慧 X 光成像解决方案市场的新兴趋势
  • 战略分析
    • 新产品开发
    • 扩大全球人工智慧 X 光成像解决方案市场的产能
    • 全球人工智慧 X 光成像解决方案市场的合併、收购和合资企业
    • 认证和许可

第七章主要企业概况

  • Arterys
  • Behold.ai Technologies
  • Imagen Technologies
  • Infervision Medical Technology
  • Lunit
  • Qure.ai Technologies
  • VUNO
简介目录

AI-Enabled X-Ray Imaging Solutions Trends and Forecast

The future of the global AI-enabled X-ray imaging solutions market looks promising with opportunities in the general radiology and specialty radiology markets. The global AI-enabled X-ray imaging solutions market is expected to reach an estimated $0.3 billion by 2030 with a CAGR of 12.6% from 2024 to 2030. The major drivers for this market are significantly growing healthcare industry, increasing integration of artificial intelligence (AI) and other computational algorithms, and on-going technological advancements.

Lucintel forecasts that software is expected to witness highest growth over the forecast period due to growing trend of AI technology and increasing funding from investors to software manufacturers.

Within this market, specialty radiology will remain the largest segment.

North America is expected to witness highest growth over the forecast period due to the existence of leading providers of AI solutions and growing adoption of AI-enabled X-ray imaging solutions.

Emerging Trends in the AI-Enabled X-Ray Imaging Solutions Market

The market for AI-based X-ray imaging solutions is undergoing transformation, with several major trends supporting advancement and commercialization. The following are five emerging trends:

  • Improved Diagnostics: AI algorithms help to enhance diagnosis as they can identify minor concerns which can be missed by radiologists. Such development leads to faster and accurate diagnosis that improves clinical surgery outcomes.
  • On-the-spot Imaging: Further development of AI technologies will allow not only the interpretation of images but rather the perception and instantaneous report of results to the doctor during patient X-ray exams. This development improves the flow of work and hastens the making of decisions which is critical in the incidence of emergency and critical care.
  • Interoperability with EHRs: The market is seeing the young AI-based X-ray systems enabling the retrieval of the data on the patients from electronic health records (EHRs) in order to enhance management of the patients. It enables easy retrieval of patient data and enhances integration of diagnostics and also treatment plans.
  • Compact and Mobile Modes of AI systems: in Sub Saharan Africa and other less populated places, the introduction of such portable and mobile AI systems for X-ray is allowing the provision of imaging services. Such solutions bring comfort and convenience since the imaging process is made possible for more people.
  • AI-Enhanced Workflow Management: AI is applied in refining the imaging workflows by taking care of monotonous activities like the acquisition of images, and image reporting. This phenomenon lessens the workload of radiologists, increases operational efficiency, and permits other complex case studies.

These trends are transforming the X-ray imaging market by improving diagnostic accuracy by enabling the understanding of images in a better and easily accessible way, and making imaging processes more efficient.

Recent Developments in the AI-Enabled X-Ray Imaging Solutions Market

The market for AI X-ray imaging solutions has witnessed various important developments lately. Here's some interesting information on five noteworthy advancements:

  • AI Algorithms Recent FDA Approvals: Approval of AI algorithms by the FDA has been a breakthrough in the US market. These algorithms are employed in the identification of fractured bones and even cancers to advance the diagnosis and clinical decision making.
  • X-ray Diagnostic Policies with the help of AI: The introduction of a new breed of diagnostic policies powered by GIS and image processing could change the way X-rays are interpreted. These platforms incorporated embedding advanced image analysis, real time feedback, predictive analytics and augmenting the workflow and efficiency.
  • Growth of AI Solutions in the Geography's Lower Levels: Likewise, in China and India, efforts have aimed to roll out X-ray systems with AI enabled capabilities for rural and underserved areas. Such growth has the goal of increasing the distribution of quality imaging services and tackling health inequalities.
  • Collaboration for Incorporation of AI: Private sector partnerships are proving beneficial in the development of x-ray systems with AI integration in Japan and Germany. These partnerships aim to embed AI into the current imaging platform to improve work precision and work efficiency.
  • X-Ray Machines with Ai Imaging that are Mobility Inferring: Mobility and field diagnostics has also been aided by the new generation of portable X-ray systems with incorporated AI. These systems offer mobility and greater availability of imaging especially in areas that are remote or after emergencies.

Such advancements are further promoting the growth of AI-enabled X-ray imaging market this includes enhancing the accuracy of diagnosis, promoting availability, and streamlining imaging processes.

Strategic Growth Opportunities for AI-Enabled X-Ray Imaging Solutions Market

The X-ray imaging solutions market delivered by AI technologies offers certain development possibilities to grow in various fields. Here are five key areas with growth potential:

  • Tele-radiology Expansion: Expansion of AI-enabled X-ray imaging with the help of tele-radiology services allows ph agents to broaden remote diagnostics. This provision alleviates the lack of imaging services to such patients and enables tele-consultation with the specialists.
  • AI in Radiology: There are benefits of introducing AI-driven bone X-ray solutions in critical care environments to shorten the time taken to arrive at a diagnosis. The AI system has the capability to analyze and offer support and sleep assistance within a very short frame which is essential in handling emergent situations and improving patients' outcomes.
  • Artificial Intelligence for Preventive Screening: The aim of utilizing artificial intelligence in screening programs is to achieve improved early identification of conditions like cancer and cardiovascular diseases. Algorithms can be employed in screening for disease through X-ray imaging so as to manage health before diseases become too overwhelming.
  • Integrative Approach: There are opportunities to target AI embedded X-ray systems, to interconnect them with existing advanced systems such as EHRs and Health information exchanges. Such integration enables providing advanced patient care by enhancing the coordination of imaging procedures and their treatment.
  • Cost-effective AI Platforms for Emerging Economies: There is enormous potential for improvement on cost-effective AI integrated X-ray solutions to the economies that are coming up. Such solutions will meet the needs for quality and speedy diagnostic services and broaden the scope of healthcare delivery in resource-poor countries.

Such growth opportunities are also determining the advances of the AI-optimized X-ray imaging telemetry as more efficient diagnostics are developed, more patients are reached, and best health services are delivered.

AI-Enabled X-Ray Imaging Solutions Market Driver and Challenges

The market for X-ray imaging solutions that utilizes Artificial Intelligence is governed by certain characteristics including drivers and challenges. Here are the key factors:

The factors responsible for driving the ai-enabled x-ray imaging solutions market include:

1. Technological advancements: The rapid development of various AI and machine learning technologies leads to the creation of ever more advanced X-ray imaging solutions. Such technologies improve the quality of diagnostic images and broaden the imaging range.

2. Increasing demand for diagnostic precision: There is a rising demand towards efficiency improvement in the providing of diagnosis and imaging. The AI powered X-ray solutions help in achieving the need by offering advanced image interpretation and assistive diagnosis.

3. Investment by Government Bodies and Healthcare Systems: The expenditure of the authorities and the healthcare institutions on advanced imaging methods is favoring the market development. The grappling with provision of financial resources for the incorporation of Artificial Intelligence and establishment of the required systems has resulted to great development and effective usage pertaining to Artificial Intelligence adoption.

4. Rise of Costs of Healthcare Services: The factor of controlling the surge in costs of health care services is driving the integration of AI technologies aimed at improving efficiency and reducing costs within the operations. AI technologies assist in enhancing resource management and cost containment.

5. Growth in the emphasis on prevention and early diagnosis: In addition, there is a growing focus on early diagnosis and preventive medicine. These systems are helpful in the diagnosis at an early stage which enhances the health of the patients.

Challenges in the ai-enabled x-ray imaging solutions market are:

1. High Cost of AI Integration: High cost of integrating Artificial intelligence into the functioning X-ray machines becomes an impediment to the adoption. This challenge does not allow advanced imaging techniques to be available and widely used.

2. Regulatory Hurdles: Adhering to the requirements on the Regulatory pathway concerning AI based medical devices could be a strenuous and lengthy process. The delay in meeting these regulatory requirements before market entry has consequences on adoption levels.

Thus, these drivers and challenges are shaping the AI enabled X-ray imaging market and consequently the growth pattern of this industry and the introduction of the use of new technologies.

List of AI-Enabled X-Ray Imaging Solutions Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies AI-enabled X-ray imaging solutions companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the AI-enabled X-ray imaging solutions companies profiled in this report include-

  • Arterys
  • Behold.ai Technologies
  • Imagen Technologies
  • Infervision Medical Technology
  • Lunit
  • Qure.ai Technologies
  • Vuno

AI-Enabled X-Ray Imaging Solutions by Segment

The study includes a forecast for the global AI-enabled X-ray imaging solutions by type, deployment, workflow, application, and region.

AI-Enabled X-Ray Imaging Solutions Market by Type [Analysis by Value from 2018 to 2030]:

  • Software
  • Hardware

AI-Enabled X-Ray Imaging Solutions Market by Deployment [Analysis by Value from 2018 to 2030]:

  • Cloud-Based and Web-Based
  • On-Premises

AI-Enabled X-Ray Imaging Solutions Market by Workflow [Analysis by Value from 2018 to 2030]:

  • Detection
  • Image Acquisition
  • Image Analysis
  • Diagnosis and Treatment Decision Support
  • Triage
  • Predictive Analysis and Risk Assessment

AI-Enabled X-Ray Imaging Solutions Market by Application [Analysis by Value from 2018 to 2030]:

  • General Radiology
  • Specialty Radiology

AI-Enabled X-Ray Imaging Solutions Market by Region [Analysis by Value from 2018 to 2030]:

  • North America
  • Europe
  • Asia Pacific
  • The Rest of the World

Country Wise Outlook for the AI-Enabled X-Ray Imaging Solutions Market

The market for AI-driven X-ray imaging systems is growing because new features of artificial intelligence (AI) are introduced into diagnostic imaging systems. The development of such technologies is directed first of all at improving the diagnostic efficiency, improving work processes, and increasing the results for the patient. Here is an overview of some of the recent evolution in the major geographical areas:

  • United States: The U.S. market has registered rapid developments in AI integration in X-ray imaging where there are FDA approved algorithms to be used by radiologists in detecting features like lung cancer and fractures. There are other companies which are working on developing interfaces for radiologists monitoring the patient and performing image diagnostics in real time by using AI-powered tools improving clinical performance.
  • China: For China, it is the pursuit of making available the AI-enabled X-ray imaging solutions to both the developed and underdeveloped regions. Recent developments include projects initiated by Government in collaboration with local hospitals towards the implementation of AI in public health systems. New AI algorithms are providing enhanced scope for disease detection and image enhancement making the diagnostic processes more efficient and easier.
  • Germany: Germany is also progressing towards the adoption of new AI technology in X-ray imaging through new collaborations among technological firms and medical practitioners. New developments include imaging systems that harness AI for enhanced diagnosis and those that can function with electronic health records (EHR). Such technologies are intended to increase efficiency of physicians and patients management in the clinical setting.
  • India: Grown in AI supported X-ray imaging is driven by partnerships with local startups and other technology companies. Recent innovations are geared towards the inexpensive provision of AI systems in the radiological centers and hospitals to meet the growing global needs for the imaging services. Such solutions attempt to increase the diagnostic outcomes and lower the burden on radiologists.
  • Japan: Japan, on the other hand, is moving in the direction of AI-based x-ray systems utilizing advanced algorithms for image analysis. AI systems which help in the diagnosis of bone and lung disorders and other conditions at early stages are also other steps forward. Adoption of the AI Technology has increased medical diagnostic accuracy and imaging process efficiency in irradiating facilities in these areas.

Features of the Global AI-Enabled X-Ray Imaging Solutions Market

Market Size Estimates: AI-enabled X-ray imaging solutions market size estimation in terms of value ($B).

Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.

Segmentation Analysis: AI-enabled X-ray imaging solutions market size by various segments, such as by type, deployment, workflow, application, and region in terms of ($B).

Regional Analysis: AI-enabled X-ray imaging solutions market breakdown by North America, Europe, Asia Pacific, and Rest of the World.

Growth Opportunities: Analysis of growth opportunities in different types, deployment, workflows, applications, and regions for the AI-enabled X-ray imaging solutions market.

Strategic Analysis: This includes M&A, new product development, and competitive landscape of the AI-enabled X-ray imaging solutions market.

Analysis of competitive intensity of the industry based on Porter's Five Forces model.

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FAQ

Q.1 What is the AI-enabled X-ray imaging solutions market size?

Answer: The global AI-enabled X-ray imaging solutions market is expected to reach an estimated $0.3 billion by 2030.

Q.2 What is the growth forecast for AI-enabled X-ray imaging solutions market?

Answer: The global AI-enabled X-ray imaging solutions market is expected to grow with a CAGR of 12.6% from 2024 to 2030.

Q.3 What are the major drivers influencing the growth of the AI-enabled X-ray imaging solutions market?

Answer: The major drivers for this market are significantly growing healthcare industry, increasing integration of artificial intelligence (AI) and other computational algorithms, and on-going technological advancements.

Q4. What are the major segments for AI-enabled X-ray imaging solutions market?

Answer: The future of the AI-enabled X-ray imaging solutions market looks promising with opportunities in the general radiology and specialty radiology markets.

Q5. Who are the key AI-enabled X-ray imaging solutions market companies?

Answer: Some of the key AI-enabled X-ray imaging solutions companies are as follows:

  • Arterys
  • Behold.ai Technologies
  • Imagen Technologies
  • Infervision Medical Technology
  • Lunit
  • Qure.ai Technologies
  • Vuno

Q6. Which AI-enabled X-ray imaging solutions market segment will be the largest in future?

Answer: Lucintel forecasts that software is expected to witness highest growth over the forecast period due to growing trend of AI technology and increasing funding from investors to software manufacturers.

Q7. In AI-enabled X-ray imaging solutions market, which region is expected to be the largest in next 5 years?

Answer: North America is expected to witness highest growth over the forecast period due to the existence of leading providers of AI solutions and growing adoption of AI-enabled X-ray imaging solutions.

Q.8 Do we receive customization in this report?

Answer: Yes, Lucintel provides 10% customization without any additional cost.

This report answers following 11 key questions:

  • Q.1. What are some of the most promising, high-growth opportunities for the AI-enabled X-ray imaging solutions market by type (software and hardware), deployment (cloud-based and web-based and on-premises), workflow (detection, image acquisition, image analysis, diagnosis and treatment decision support, triage, predictive analysis and risk assessment, and reporting and communication), application (general radiology and specialty radiology), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
  • Q.2. Which segments will grow at a faster pace and why?
  • Q.3. Which region will grow at a faster pace and why?
  • Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
  • Q.5. What are the business risks and competitive threats in this market?
  • Q.6. What are the emerging trends in this market and the reasons behind them?
  • Q.7. What are some of the changing demands of customers in the market?
  • Q.8. What are the new developments in the market? Which companies are leading these developments?
  • Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
  • Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
  • Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?
  • Market Report

Table of Contents

1. Executive Summary

2. Global AI-Enabled X-Ray Imaging Solutions Market : Market Dynamics

  • 2.1: Introduction, Background, and Classifications
  • 2.2: Supply Chain
  • 2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2018 to 2030

  • 3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
  • 3.2. Global AI-Enabled X-Ray Imaging Solutions Market Trends (2018-2023) and Forecast (2024-2030)
  • 3.3: Global AI-Enabled X-Ray Imaging Solutions Market by Type
    • 3.3.1: Software
    • 3.3.2: Hardware
  • 3.4: Global AI-Enabled X-Ray Imaging Solutions Market by Deployment
    • 3.4.1: Cloud-based and Web-based
    • 3.4.2: On-premises
  • 3.5: Global AI-Enabled X-Ray Imaging Solutions Market by Workflow
    • 3.5.1: Detection
    • 3.5.2: Image Acquisition
    • 3.5.3: Image Analysis
    • 3.5.4: Diagnosis and Treatment Decision Support
    • 3.5.5: Triage
    • 3.5.6: Predictive Analysis and Risk Assessment
    • 3.5.7: Reporting and Communication
  • 3.6: Global AI-Enabled X-Ray Imaging Solutions Market by Application
    • 3.6.1: General Radiology
    • 3.6.2: Specialty Radiology

4. Market Trends and Forecast Analysis by Region from 2018 to 2030

  • 4.1: Global AI-Enabled X-Ray Imaging Solutions Market by Region
  • 4.2: North American AI-Enabled X-Ray Imaging Solutions Market
    • 4.2.1: North American AI-Enabled X-Ray Imaging Solutions Market by Type: Software and Hardware 4.2.2: North American AI-Enabled X-Ray Imaging Solutions Market by Application: General Radiology and Specialty Radiology
  • 4.3: European AI-Enabled X-Ray Imaging Solutions Market
    • 4.3.1: European AI-Enabled X-Ray Imaging Solutions Market by Type: Software and Hardware
    • 4.3.2: European AI-Enabled X-Ray Imaging Solutions Market by Application: General Radiology and Specialty Radiology
  • 4.4: APAC AI-Enabled X-Ray Imaging Solutions Market
    • 4.4.1: APAC AI-Enabled X-Ray Imaging Solutions Market by Type: Software and Hardware
    • 4.4.2: APAC AI-Enabled X-Ray Imaging Solutions Market by Application: General Radiology and Specialty Radiology
  • 4.5: ROW AI-Enabled X-Ray Imaging Solutions Market
    • 4.5.1: ROW AI-Enabled X-Ray Imaging Solutions Market by Type: Software and Hardware
    • 4.5.2: ROW AI-Enabled X-Ray Imaging Solutions Market by Application: General Radiology and Specialty Radiology

5. Competitor Analysis

  • 5.1: Product Portfolio Analysis
  • 5.2: Operational Integration
  • 5.3: Porter's Five Forces Analysis

6. Growth Opportunities and Strategic Analysis

  • 6.1: Growth Opportunity Analysis
    • 6.1.1: Growth Opportunities for the Global AI-Enabled X-Ray Imaging Solutions Market by Type
    • 6.1.2: Growth Opportunities for the Global AI-Enabled X-Ray Imaging Solutions Market by Deployment
    • 6.1.3: Growth Opportunities for the Global AI-Enabled X-Ray Imaging Solutions Market by Workflow
    • 6.1.4: Growth Opportunities for the Global AI-Enabled X-Ray Imaging Solutions Market by Application
    • 6.1.5: Growth Opportunities for the Global AI-Enabled X-Ray Imaging Solutions Market by Region
  • 6.2: Emerging Trends in the Global AI-Enabled X-Ray Imaging Solutions Market
  • 6.3: Strategic Analysis
    • 6.3.1: New Product Development
    • 6.3.2: Capacity Expansion of the Global AI-Enabled X-Ray Imaging Solutions Market
    • 6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global AI-Enabled X-Ray Imaging Solutions Market
    • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

  • 7.1: Arterys
  • 7.2: Behold.ai Technologies
  • 7.3: Imagen Technologies
  • 7.4: Infervision Medical Technology
  • 7.5: Lunit
  • 7.6: Qure.ai Technologies
  • 7.7: VUNO