AI-Enabled X-Ray Imaging Solutions Market by Component (Hardware, Software), Modality (Computed Tomography (CT), Magnetic Resonance (MR), Mammography), Deployment Mode, Application, End-use - Global Forecast 2024-2030

AI-Enabled X-Ray Imaging Solutions Market by Component (Hardware, Software), Modality (Computed Tomography (CT), Magnetic Resonance (MR), Mammography), Deployment Mode, Application, End-use - Global Forecast 2024-2030


The AI-Enabled X-Ray Imaging Solutions Market size was estimated at USD 2.31 billion in 2023 and expected to reach USD 2.61 billion in 2024, at a CAGR 13.28% to reach USD 5.54 billion by 2030.

Artificial intelligence (AI)-)-enabled X-ray imaging solutions refer to the integration of artificial intelligence technologies with conventional X-ray imaging systems. These advanced solutions are designed to enhance the capabilities of X-ray imaging by improving image quality, accuracy, and interpretation while driving operational efficiency in medical imaging practices. The need for advanced diagnostics technologies and tools and rising government investments to improve healthcare infrastructure has led to a surge in demand for AI-enabled x-ray imaging solutions. Additionally, the need for personalized treatment plans catering to the patient’s unique genomic profile is augmenting the deployment of AI in imaging diagnostics. However, the absence of industry standards for AI applications can hinder interoperability. Furthermore, AI systems require large datasets, necessitating stringent data protection measures, and the possibility of data breaches impedes the adoption of technology solutions. However, key players are exploring the development of modernized versions of deidentification and deploying consent models to improve the data privacy of AI-enabled X-ray imaging solutions. The development of cloud platforms for the sharing and analysis of X-ray images might provide growth opportunities. Furthermore, favorable regulatory approvals for AI-enabled X-ray imaging solutions can further cement the growth of the industry.

Regional Insights

The Americas region, particularly the US and Canada, are characterized by the presence of a robust technological sector and several investments in the upgradation of healthcare infrastructure, which has driven the adoption of AI-enabled X-ray imaging solutions. Several product launches in the health tech sector and the presence of key players and technological companies have driven innovations and research in the field of AI technology. The EU's strong regulatory framework for data privacy, which includes the notable General Data Protection Regulation (GDPR) and stringent medical device regulations, influences customer purchasing behavior towards AI-enabled X-ray systems that ensure data privacy and security. Investment in healthcare AI is robust, supported by various EU-funded research initiatives. The European consumer is well-informed and health-conscious, showing readiness to embrace AI solutions that demonstrate clear clinical benefits and transparency in data handling. The demand for AI-enabled X-ray imaging solutions in the APAC region is supported by favorable government policies for digitalizing health services. Countries such as India and China favor cost-effective and easily accessible diagnostic and imaging services.

Market Insights

Market Dynamics

The market dynamics represent an ever-changing landscape of the AI-Enabled X-Ray Imaging Solutions Market by providing actionable insights into factors, including supply and demand levels. Accounting for these factors helps design strategies, make investments, and formulate developments to capitalize on future opportunities. In addition, these factors assist in avoiding potential pitfalls related to political, geographical, technical, social, and economic conditions, highlighting consumer behaviors and influencing manufacturing costs and purchasing decisions.

Market Drivers
  • Rising need for advanced diagnostics solutions and imaging technologies
  • Government initiatives to propel digitalization of healthcare services
  • Inclinations toward the adoption of telemedicine services and remote diagnostics services
Market Restraints
  • Lack of standardization and interoperability issues
Market Opportunities
  • Continous technological advancements in AI-enabled X-ray imaging solutions
  • Favorable regulatory approvals for novel AI-enabled X-ray imaging solutions
Market Challenges
  • Security and privacy concerns with the usage of AI-enabled X-ray imaging solutions
Market Segmentation Analysis
  • Component: Ongoing advancements to improve the efficiency of software components
  • Modality: Rising prevalence of breast cancer necessitating deployment of mammography
  • Deployment Mode: Preference for cloud-based deployment to improve scalability
  • Application: Need for effective diagnosis & treatment decision support to ensure timely patient care
  • End-use: Burgeoning government support to improve hospital infrastructure
Market Disruption Analysis
  • Porter’s Five Forces Analysis
  • Value Chain & Critical Path Analysis
  • Pricing Analysis
  • Technology Analysis
  • Patent Analysis
  • Trade Analysis
  • Regulatory Framework Analysis
FPNV Positioning Matrix

The FPNV positioning matrix is essential in evaluating the market positioning of the vendors in the AI-Enabled X-Ray Imaging Solutions Market. This matrix offers a comprehensive assessment of vendors, examining critical metrics related to business strategy and product satisfaction. This in-depth assessment empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success, namely Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The market share analysis is a comprehensive tool that provides an insightful and in-depth assessment of the current state of vendors in the AI-Enabled X-Ray Imaging Solutions Market. By meticulously comparing and analyzing vendor contributions, companies are offered a greater understanding of their performance and the challenges they face when competing for market share. These contributions include overall revenue, customer base, and other vital metrics. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With these illustrative details, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Recent Developments

AstraZeneca and IKN to Launch AI X-ray Technology For Early Lung Screening

In a landmark collaboration, AstraZeneca PLC has joined forces with Institut Kanser Negara of Malaysia to spearhead the integration of Artificial Intelligence (AI) into X-ray imaging solutions. This pioneering venture, which falls under the Projek Saringan Awal Paru-Paru (SAPU) programme, aims to revolutionize early lung screening processes at state-run clinics and hospitals.

Mylab Partners with Qure.ai for Speedy TB Diagnosis through AI-aided X-Ray

Mylab Discovery Solutions, a renowned Pune-based biotech entity, has announced a strategic partnership with medical AI giant Qure.ai to introduce a revolutionary AI-enabled handheld x-ray device, MyBeam, aimed at the early detection and screening of tuberculosis (TB). This innovative collaboration integrates Qure.ai's advanced qXR software with MyBeam, significantly enhancing TB diagnosis accuracy and efficiency, facilitating prompt medical intervention.

Annalise.ai Launches AI-Powered Worklist Triage for Chest X-Ray & Head CTs

Annalise.ai has launched its state-of-the-art product, Annalise Triage, a pioneering AI-powered solution designed to optimize radiologists' workflow in the United States. This cutting-edge system prioritizes chest X-rays and head CT scans that may indicate critical conditions, substantially reducing the time taken to interpret scans and deliver reports, thereby accelerating critical diagnoses

Strategy Analysis & Recommendation

The strategic analysis is essential for organizations seeking a solid foothold in the global marketplace. Companies are better positioned to make informed decisions that align with their long-term aspirations by thoroughly evaluating their current standing in the AI-Enabled X-Ray Imaging Solutions Market. This critical assessment involves a thorough analysis of the organization’s resources, capabilities, and overall performance to identify its core strengths and areas for improvement.

Key Company Profiles

The report delves into recent significant developments in the AI-Enabled X-Ray Imaging Solutions Market, highlighting leading vendors and their innovative profiles. These include Agfa-Gevaert Group, Aidoc Medical Ltd., Behold.ai Technologies Limited, DentalXrai GmbH, Enlitic, Inc., GE HealthCare Technologies Inc., Hologic, Inc., Imagen, Infervision Medical Technology Co., Ltd., Konica Minolta Group, Koninklijke Philips N.V., L&T Technology Services Limited, Lunit Inc., Nuance Communications, Inc. by Microsoft Corporation, NVIDIA Corporation, Oxipit.ai, Quantib B.V. by RadNet, Inc, Quibim, S.L., Qure.ai Technologies Private Limited, Radiobotics ApS, Siemens Healthineers AG, Tempus Labs, Inc., and VUNO Inc..

Market Segmentation & Coverage

This research report categorizes the AI-Enabled X-Ray Imaging Solutions Market to forecast the revenues and analyze trends in each of the following sub-markets:
  • Component
  • Hardware
  • Software
  • Modality
  • Computed Tomography (CT)
  • Magnetic Resonance (MR)
  • Mammography
  • Multimodality Imaging Systems
  • Ultrasound
  • X-Ray
  • Deployment Mode
  • Cloud-based
  • On-premises
  • Application
  • Diagnosis & Treatment Decision Support
  • Image Acquisition
  • Image Analysis
  • Image Detection
  • Predictive Analysis & Risk Assessment
  • Reporting & Communication
  • End-use
  • Ambulatory Surgical Centers
  • Diagnostic Clinics
  • Hospitals
  • Region
  • Americas
  • Argentina
  • Brazil
  • Canada
  • Mexico
  • United States
  • California
  • Florida
  • Illinois
  • New York
  • Ohio
  • Pennsylvania
  • Texas
  • Asia-Pacific
  • Australia
  • China
  • India
  • Indonesia
  • Japan
  • Malaysia
  • Philippines
  • Singapore
  • South Korea
  • Taiwan
  • Thailand
  • Vietnam
  • Europe, Middle East & Africa
  • Denmark
  • Egypt
  • Finland
  • France
  • Germany
  • Israel
  • Italy
  • Netherlands
  • Nigeria
  • Norway
  • Poland
  • Qatar
  • Russia
  • Saudi Arabia
  • South Africa
  • Spain
  • Sweden
  • Switzerland
  • Turkey
  • United Arab Emirates
  • United Kingdom


Please Note: PDF & Excel + Online Access - 1 Year


1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders
2. Research Methodology
2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update
3. Executive Summary
4. Market Overview
5. Market Insights
5.1. Market Dynamics
5.1.1. Drivers
5.1.1.1. Rising need for advanced diagnostics solutions and imaging technologies
5.1.1.2. Government initiatives to propel digitalization of healthcare services
5.1.1.3. Inclinations toward the adoption of telemedicine services and remote diagnostics services
5.1.2. Restraints
5.1.2.1. Lack of standardization and interoperability issues
5.1.3. Opportunities
5.1.3.1. Continous technological advancements in AI-enabled X-ray imaging solutions
5.1.3.2. Favorable regulatory approvals for novel AI-enabled X-ray imaging solutions
5.1.4. Challenges
5.1.4.1. Security and privacy concerns with the usage of AI-enabled X-ray imaging solutions
5.2. Market Segmentation Analysis
5.2.1. Component: Ongoing advancements to improve the efficiency of software components
5.2.2. Modality: Rising prevalence of breast cancer necessitating deployment of mammography
5.2.3. Deployment Mode: Preference for cloud-based deployment to improve scalability
5.2.4. Application: Need for effective diagnosis & treatment decision support to ensure timely patient care
5.2.5. End-use: Burgeoning government support to improve hospital infrastructure
5.3. Market Disruption Analysis
5.4. Porter’s Five Forces Analysis
5.4.1. Threat of New Entrants
5.4.2. Threat of Substitutes
5.4.3. Bargaining Power of Customers
5.4.4. Bargaining Power of Suppliers
5.4.5. Industry Rivalry
5.5. Value Chain & Critical Path Analysis
5.6. Pricing Analysis
5.7. Technology Analysis
5.8. Patent Analysis
5.9. Trade Analysis
5.10. Regulatory Framework Analysis
6. AI-Enabled X-Ray Imaging Solutions Market, by Component
6.1. Introduction
6.2. Hardware
6.3. Software
7. AI-Enabled X-Ray Imaging Solutions Market, by Modality
7.1. Introduction
7.2. Computed Tomography (CT)
7.3. Magnetic Resonance (MR)
7.4. Mammography
7.5. Multimodality Imaging Systems
7.6. Ultrasound
7.7. X-Ray
8. AI-Enabled X-Ray Imaging Solutions Market, by Deployment Mode
8.1. Introduction
8.2. Cloud-based
8.3. On-premises
9. AI-Enabled X-Ray Imaging Solutions Market, by Application
9.1. Introduction
9.2. Diagnosis & Treatment Decision Support
9.3. Image Acquisition
9.4. Image Analysis
9.5. Image Detection
9.6. Predictive Analysis & Risk Assessment
9.7. Reporting & Communication
10. AI-Enabled X-Ray Imaging Solutions Market, by End-use
10.1. Introduction
10.2. Ambulatory Surgical Centers
10.3. Diagnostic Clinics
10.4. Hospitals
11. Americas AI-Enabled X-Ray Imaging Solutions Market
11.1. Introduction
11.2. Argentina
11.3. Brazil
11.4. Canada
11.5. Mexico
11.6. United States
12. Asia-Pacific AI-Enabled X-Ray Imaging Solutions Market
12.1. Introduction
12.2. Australia
12.3. China
12.4. India
12.5. Indonesia
12.6. Japan
12.7. Malaysia
12.8. Philippines
12.9. Singapore
12.10. South Korea
12.11. Taiwan
12.12. Thailand
12.13. Vietnam
13. Europe, Middle East & Africa AI-Enabled X-Ray Imaging Solutions Market
13.1. Introduction
13.2. Denmark
13.3. Egypt
13.4. Finland
13.5. France
13.6. Germany
13.7. Israel
13.8. Italy
13.9. Netherlands
13.10. Nigeria
13.11. Norway
13.12. Poland
13.13. Qatar
13.14. Russia
13.15. Saudi Arabia
13.16. South Africa
13.17. Spain
13.18. Sweden
13.19. Switzerland
13.20. Turkey
13.21. United Arab Emirates
13.22. United Kingdom
14. Competitive Landscape
14.1. Market Share Analysis, 2023
14.2. FPNV Positioning Matrix, 2023
14.3. Competitive Scenario Analysis
14.3.1. AstraZeneca and IKN to Launch AI X-ray Technology For Early Lung Screening
14.3.2. Mylab Partners with Qure.ai for Speedy TB Diagnosis through AI-aided X-Ray
14.3.3. Annalise.ai Launches AI-Powered Worklist Triage for Chest X-Ray & Head CTs
14.4. Strategy Analysis & Recommendation
15. Competitive Portfolio
15.1. Key Company Profiles
15.2. Key Product Portfolio

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