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1560218

支援 AI 的 X 光成像解決方案市場報告：到 2030 年的趨勢、預測和競爭分析

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個工作天內

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簡介目錄

支援人工智慧的 X光成像解決方案的趨勢和預測

到 2030 年，全球人工智慧 X 光成像解決方案市場預計將達到 3 億美元，2024 年至 2030 年複合年成長率為 12.6%。該市場的主要驅動力是醫療保健行業的顯著成長、人工智慧（AI）和其他計算演算法的日益整合以及不斷的技術進步。全球人工智慧 X 光成像解決方案市場的未來看起來充滿希望，普通和專業放射學市場也充滿機會。

Lucintel 預測，由於人工智慧技術的上升趨勢以及投資者對軟體製造商的資金增加，軟體將在預測期內實現最高成長。

在這個市場中，專業放射學將繼續成為最大的細分市場。

由於領先的人工智慧解決方案提供商的存在以及支援人工智慧的 X光成像解決方案的日益普及，預計北美在預測期內將出現最高的成長。

AI支援的X光成像解決方案市場新趨勢

基於人工智慧的 X 光成像解決方案市場正在經歷轉型，有幾個關鍵趨勢支持其進步和商業化。以下是五個新興趨勢：

  • 改進診斷：人工智慧演算法可以透過識別放射科醫生可能錯過的細微問題來幫助改進診斷。這些發展將帶來更快、更準確的診斷，並改善臨床手術結果。
  • 影像現場診斷：人工智慧技術的進一步發展，當患者進行X光檢查時，不僅可以判讀影像，還可以識別結果並立即向醫生報告。這項發展將改善業務流程並實現更快的決策，這對於醫療緊急情況和嚴重疾病爆發至關重要。
  • 與 EHR 的互通性：人工智慧驅動的 X 光檢查系統從電子健康記錄(EHR) 中捕獲患者資料，以加強患者管理。這樣可以輕鬆搜尋患者資料並增強診斷和治療計劃的整合。
  • 緊湊型行動人工智慧系統：在撒哈拉以南非洲和人口稀少的地區，可攜式和移動 X 光人工智慧系統的引入使得診斷影像服務的提供成為可能。這樣的解決方案帶來了舒適和便利，讓更多人的拍攝過程成為可能。
  • 利用人工智慧增強工作流程管理：人工智慧透過接管影像擷取和影像報告等單調任務來改善成像工作流程。這種現象減少了放射科醫師的工作量，提高了業務效率，並使得其他複雜的案例研究成為可能。

這些趨勢正在改變診斷 X 光成像市場，使影像更容易以更好的方式理解，提高診斷準確性並使影像處理過程更有效率。

支援人工智慧的 X 光成像解決方案市場的最新趨勢

近年來，人工智慧驅動的 X 光成像解決方案市場見證了各種重大發展。以下是有關五個值得注意的發展的一些有趣資訊：

  • 人工智慧演算法最近 FDA核准：FDA 對人工智慧演算法的核准是美國市場的一個里程碑。這些演算法也被用來識別骨折和癌症，以推進診斷和臨床決策。
  • 人工智慧幫助下的 X 光診斷策略：透過 GIS 和影像處理引入新型診斷策略可以改變 X 光的解釋方式。這些平台結合了先進的影像分析、即時回饋和預測分析，以增強工作流程和效率。
  • 次區域層面人工智慧解決方案的成長：同樣，中國和印度也在努力為農村和服務欠缺地區部署具有人工智慧功能的 X光系統。這一成長旨在擴大優質診斷成像服務的分佈並解決健康差距。
  • 合作整合人工智慧：在日本和德國，私營部門夥伴關係已被證明有利於開發整合人工智慧的 X光系統。這些夥伴關係關係旨在將人工智慧納入目前的影像處理平台，以提高工作準確性和效率。
  • 具有人工智慧成像功能的X光設備可推斷移動性：整合人工智慧的新一代可攜式X光系統也支援移動性和現場診斷。這些系統提供移動性並提高可用性，特別是在偏遠地區或發生緊急情況時。

提高診斷準確性、提高可用性和簡化成像流程等進步正在進一步推動人工智慧 X 光成像市場的成長。

人工智慧 X 光成像解決方案市場的策略性成長機會

人工智慧技術驅動的X光成像解決方案市場為各領域的成長提供了持續的開拓潛力。以下是成長潛力的五個關鍵領域：

  • 擴展遠端影像診斷：透過遠端X光影像診斷服務擴展AI賦能的X光影像診斷，PH Agent可以擴展遠距離診斷的範圍。這項服務緩解了這些患者缺乏診斷影像服務的問題，並能夠與專家進行遠距會診。
  • 放射學中的人工智慧：將支援人工智慧的骨 X 光解決方案引入重症加護環境有利於縮短診斷時間。人工智慧系統能夠在很短的時間內分析並提供支援和睡眠幫助，這對於處理緊急情況和改善患者的治療效果至關重要。
  • 用於預防性篩檢的人工智慧：在篩檢計畫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發現。透過使用 X 光影像的演算法來篩檢疾病，您可以在疾病變得嚴重之前管理您的健康。
  • 綜合方法：有機會瞄準結合人工智慧的 X 光系統，並將其與 EHR 和健康資訊交流等現有先進系統互連。這種整合可以更好地協調成像程序及其治療，從而提供先進的患者照護。
  • 面向新興經濟體的具有成本效益的人工智慧平台：新興經濟體在改進具有成本效益的人工智慧整合X光解決方案方面具有巨大潛力。此類解決方案滿足了對高品質、快速診斷服務的需求，並擴大了資源匱乏國家的醫療保健服務範圍。

這種成長機會是由人工智慧最佳化的 X 光影像遙測技術推動的，因為開發出更有效率的診斷方法，為更多患者提供服務，並提供了最好的醫療服務。

使用人工智慧的 X 光成像解決方案市場的促進因素和挑戰

人工智慧驅動的 X 光成像解決方案市場由某些特徵主導，包括市場促進因素和挑戰。主要有以下幾個因素：

推動人工智慧 X 光成像解決方案市場的因素包括：

1.技術進步：各種人工智慧和機器學習技術的快速發展將導致更先進的X光成像解決方案的創建。這些技術提高了診斷影像的品質並擴大了視野。

2.對診斷準確性的要求不斷提高：對提高診斷和影像效率的要求越來越高。人工智慧驅動的 X 光解決方案可以透過提供先進的影像判讀和診斷支援來幫助滿足這一需求。

3.政府機構和醫療保健系統的投資：當局和醫療保健機構在先進診斷成像模式上的支出正在推動市場開拓。整合人工智慧和確保財政資源來建立必要系統的努力正在帶來與人工智慧採用相關的重大進步和有效利用。

4.醫療服務成本上升：控制醫療服務成本上升的動力正在推動人工智慧技術的整合，以提高業務效率並降低成本。人工智慧技術有助於加強資源管理和成本控制。

5. 越來越重視預防和早期診斷：此外，人們越來越重視早期診斷和預防醫學。這些系統可以幫助早期診斷，進而改善患者的健康。

支援人工智慧的 X 光成像解決方案市場面臨的挑戰包括：

1. 人工智慧整合高成本：將人工智慧整合到正常運作的X光設備中的成本高昂，這是採用的障礙。這項挑戰導致先進的成像技術變得可用但並未廣泛使用。

2. 監管障礙：遵守基於人工智慧的醫療設備的監管途徑要求可能是一個困難且耗時的過程。在進入市場之前滿足這些監管要求的任何延遲都會影響採用水準。

因此，這些促進因素和挑戰正在塑造人工智慧 X 光成像診斷市場，進而影響該產業的成長模式和新技術的採用。

基於人工智慧的 X 光成像解決方案（按細分市場）

該研究包括按類型、部署、工作流程、應用程式和區域對全球人工智慧支援的 X光成像解決方案進行預測。

人工智慧 X光成像解決方案市場的國家前景

隨著診斷成像系統引入新的人工智慧 (AI) 功能，人工智慧驅動的 X 光診斷成像系統市場正在不斷擴大。此類技術的開發主要旨在提高診斷效率、改善工作流程和改善患者的治療結果。以下是重點地區近期發展概況：

  • 美國：美國市場在 X 光成像中的人工智慧整合方面取得了快速發展，放射科醫生使用 FDA核准的演算法來檢測肺癌和骨折等特徵。其他公司正在努力為放射科醫生開發介面，使用人工智慧驅動的工具來監測患者並執行即時影像診斷，從而提高臨床表現。
  • 中國 對於中國來說，它尋求在已開發和低度開發地區提供人工智慧驅動的 X光成像解決方案。最近的進展包括政府與當地醫院合作推出的計劃，以在公共衛生系統中實施人工智慧。新的人工智慧演算法正在擴大疾病檢測和影像增強的範圍，使診斷過程更加高效和容易。
  • 德國 德國也透過科技公司和醫療保健專業人士之間的新合作夥伴關係，在 X 光診斷成像中引入新的人工智慧技術方面取得進展。新的發展包括利用人工智慧增強診斷的診斷影像系統以及可以與電子健康記錄（EHR）互動的系統。這些技術旨在提高臨床環境中醫生和患者的管理效率。
  • 印度人工智慧支援的 X 光成像診斷的成長是由與當地新興企業和其他科技公司的合作所推動的。最近的創新旨在以低成本向放射中心和醫院提供人工智慧系統，以滿足世界對診斷成像服務日益成長的需求。這些解決方案旨在改善診斷結果並減輕放射科醫師的負擔。
  • 日本：與此同時，日本正轉向以人工智慧為基礎的 X 光系統，利用先進的演算法進行影像分析。其他進步包括人工智慧系統，可以幫助早期診斷骨骼和肺部疾病等疾病。人工智慧技術的採用正在提高這些地區輻照設施的醫療診斷準確性和影像處理過程的效率。

常見問題

Q.1 AI X光影像診斷解決方案的市場規模有多大？

A1. 到 2030 年，全球人工智慧 X 光成像解決方案市場預計將達到 3 億美元。

Q.2 AI 支援的 X 光成像解決方案市場的成長預測如何？

A2. 預計 2024 年至 2030 年，全球人工智慧 X 光成像解決方案市場將以 12.6% 的複合年成長率成長。

Q.3 影響人工智慧 X 光成像解決方案市場成長的關鍵促進因素有哪些？

A3. 該市場的主要驅動力是醫療保健行業的顯著成長、人工智慧 (AI) 和其他計算演算法的日益整合以及持續的技術進步。

Q4.市場的主要細分市場是：

A4.人工智慧X光成像解決方案市場的未來看起來充滿希望，一般放射學和專業放射學市場也充滿機會。

Q5.市場的主要企業是：

A5.提供人工智慧X光成像解決方案的主要企業有：

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

Q6.未來最大的細分市場是什麼？

A6.Lucintel 預測，由於人工智慧技術的上升趨勢以及投資者對軟體製造商的資金增加，軟體將在預測期內實現最高成長。

Q7. 未來五年預計哪些地區的市場成長最大？

A7. 由於領先的人工智慧解決方案提供商的存在以及支援人工智慧的 X光成像解決方案的日益普及，預計北美地區將在預測期內實現最高成長。

Q8. 可以客製化報告嗎？

A8. 是的，Lucintel 提供 10% 的客製化服務，無需額外付費。

目錄

第1章執行摘要

第2章全球人工智慧 X 光成像解決方案市場：市場動態

  • 簡介、背景、分類
  • 供應鏈
  • 產業促進因素與挑戰

第3章 2018-2030年市場趨勢及預測分析

  • 宏觀經濟趨勢（2018-2023）與預測（2024-2030）
  • 全球人工智慧X光成像解決方案市場趨勢（2018-2023）和預測（2024-2030）
  • 人工智慧 X 光成像解決方案的全球市場（按類型）
    • 軟體
    • 硬體
  • 按部署分類的人工智慧 X 光成像解決方案市場
    • 雲端基礎和網路
    • 本地
  • 按工作流程分類的人工智慧 X 光成像解決方案的全球市場
    • 偵測
    • 影像擷取
    • 影像分析
    • 診斷和治療決策支持
    • 分類
    • 預測分析和風險評估
    • 報告與溝通
  • 按應用分類的人工智慧 X 光成像解決方案的全球市場
    • 普通放射學
    • 專業放射學

第4章 2018-2030年區域市場趨勢及預測分析

  • 按地區分類的人工智慧 X 光成像解決方案的全球市場
  • 北美人工智慧 X 光成像解決方案市場
  • 歐洲人工智慧 X 光成像解決方案市場
  • 亞太地區人工智慧 X 光成像解決方案市場
  • 其他地區人工智慧X光成像解決方案市場

第5章 競爭分析

  • 產品系列分析
  • 營運整合
  • 波特五力分析

第6章 成長機會與策略分析

  • 成長機會分析
    • 全球人工智慧 X 光成像解決方案市場的成長機會（按類型）
    • 全球人工智慧 X 光成像解決方案市場成長機會（按部署）
    • 全球人工智慧 X 光成像解決方案市場成長機會（按工作流程）
    • 全球人工智慧 X 光成像解決方案市場成長機會（按應用）
    • 全球人工智慧 X 光成像解決方案市場成長機會（按地區）
  • 全球人工智慧 X 光成像解決方案市場的新興趨勢
  • 戰略分析
    • 新產品開發
    • 擴大全球人工智慧 X 光成像解決方案市場的產能
    • 全球人工智慧 X 光成像解決方案市場的合併、收購和合資企業
    • 認證和許可

第7章主要企業概況

  • Arterys
  • Behold.ai Technologies
  • Imagen Technologies
  • Infervision Medical Technology
  • Lunit
  • Qure.ai Technologies
  • VUNO
簡介目錄

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