AI in Radiology Market Future Growth Reaching USD 39.38 Billion by 2034 with a Remarkable 38.31% CAGR Driven by Advancements in Medical Imaging

Market Overview

The latest market study published by Polaris Market Research titled AI in Radiology Market Size, Share, Trends, Industry Analysis Report By Component, By Modality, By Deployment Mode, By Application, By End User, and By Region – Market Forecast, 2025–2034 is designed to provide users with an in-depth understanding of the market. A comprehensive historical analysis of the market is given, along with extensive market forecasts by region/country and subsectors.

The primary objective of this report is to help readers gain insights into AI in Radiology Market size, trends, sales volume, revenue, historical growth, latest developments, and future outlooks. It offers a qualitative and quantitative analysis of leading participants, expansion plans, geographical regions, and share valuations across all regions.

AI in Radiology Market Size:

The global AI in radiology market was valued at USD 1.55 billion in 2024 and is poised for strong expansion, driven by rising adoption of intelligent imaging technologies, automation in diagnostic workflows, and increasing demand for early disease detection. The market is expected to grow at a CAGR of 38.31% from 2025 to 2034, reaching a projected market size of USD 39.38 billion by 2034.

What Is Aim of This Report?

The AI in radiology market includes artificial intelligence technologies designed to support and enhance medical imaging interpretation and diagnostic workflows. This market covers AI-powered solutions for image acquisition, detection, classification, segmentation, workflow automation, and clinical decision support. It focuses on improving diagnostic accuracy, reducing interpretation time, and optimizing radiology operations across healthcare facilities such as hospitals, clinics, and imaging centers.

The purpose of the market research is to get a thorough understanding of the industry's potential and to offer insights that will help businesses make wise decisions. The study is an essential part of the industry analysis that focuses on key dynamics, SWOT analysis, demand-supply scenario, pricing structure, profit margins, production, and value chain analysis. The report analyzes the unique characteristics and behaviors of each segment that assist users in developing targeted marketing strategies that are tailored to the specific needs and preferences of their customers. The study offers a thorough analysis of the AI in Radiology Market segmentation, including application, product, and service types and several geographic locations.

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Market Dynamic Factors

This report lists the various actors that have contributed to the market's upward trajectory. In-depth trends and opportunities in the AI in Radiology Market are highlighted in the analysis. The study report also enables customers to recognize opportunities and difficulties. The research goes on to identify the principal impediments to industry development. Based on the SWOT and Porter's Five Forces models, market dynamics are evaluated, covering the important demand and price variables.

Competitive Landscape Analysis

Another significant portion of this study discusses the competitive landscape of the market. The market's top players are examined in the study. The AI in Radiology Market key players have been described in terms of their key attributes in the information. The section examines their supply chains, potential for growth, AI in Radiology Market share, product portfolio, capacity, cost, revenue, capabilities, expansions, investments, mergers and acquisitions, manufacturer advancements, volume, and clientele. Financial and SWOT analysis contribute to a deeper understanding of the market.

List of Major Key Players:

• Aidoc Medical Ltd.
• AIRS Medical, Inc.
• Annalise.ai Pty Ltd.
• Canon Medical Systems Corporation
• DeepHealth, Inc.
• GE HealthCare Technologies Inc.
• Lunit Inc.
• Philips Healthcare (Koninklijke Philips N.V.)
• Qure.ai Technologies Pvt. Ltd.
• Rad AI, Inc.
• Siemens Healthineers AG
• Subtle Medical, Inc.
• TeraRecon, Inc.
• Viz.ai, Inc.
• Zebra Medical Vision Ltd.

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Segment Insights:

AI in Radiology Market, Component Outlook (Revenue, USD Billion, 2020-2034)

• Software
• Services
• Hardware

AI in Radiology Market, Deployment Mode Outlook (Revenue, USD Billion, 2020-2034)

• On-premise
• Cloud-based
• Hybrid

AI in Radiology Market, Application Outlook (Revenue, USD Billion, 2020-2034)

• Detection & Diagnosis
• Image Segmentation & Classification
• Workflow Optimization & Triage
• Predictive & Prognostic Analytics
• Disease Risk Assessment
• Others

AI in Radiology Market, Modality Outlook (Revenue, USD Billion, 2020-2034)

• Computed Tomography (CT)
• Magnetic Resonance Imaging (MRI)
• X-ray
• Ultrasound
• Positron Emission Tomography (PET)
• Mammography
• Others

AI in Radiology Market, End User Outlook (Revenue, USD Billion, 2020-2034)

• Hospitals & Clinics
• Diagnostic Imaging Centers
• Research & Academic Institutes
• Ambulatory Surgical Centers
• Others

Regional Analysis

Further, the report goes on to discuss how the AI in Radiology Market has grown internationally and across various sectors and regions. The regional analysis included in the study provides information at the regional as well as national level by several market segments. Additionally, the study includes information on the origins of raw materials, downstream consumers, and industrial chain analyses. The forecast analysis section includes vital information on global production and revenue projection, as well as regional forecasts.

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The Report Provides You Answer to Below Mentioned Question

Q1: What does the AI in Radiology market focus on?

Ans: The AI in Radiology market focuses on leveraging artificial intelligence to improve medical imaging interpretation, streamline radiology workflows, and enhance diagnostic accuracy.

Q2: Which technology type is most essential in this market?

Ans: Machine learning and deep learning technologies are essential, as they enable automated image analysis and real-time decision support.

Q3: What drives the demand for AI in radiology solutions?

Ans: Rising imaging volumes, shortage of radiologists, and the need for faster diagnosis and reduced human error are key demand drivers.

Q4: Which healthcare settings are key users of AI in radiology tools?

Ans: Hospitals, diagnostic imaging centers, and specialized radiology practices are the major end users.

Q5: How does AI support radiologists in clinical operations?

Ans: AI assists by detecting abnormalities, automating reporting tasks, prioritizing urgent cases, and improving workflow efficiency.

Report Summary

Moreover, a new task SWOT analysis, a venture attainability investigation, and a venture return analysis are all determined by the study. Overall, the report promises to be a reliable resource for choosing the market research that can boost your company. The study also includes a development strategy for the industry, research findings, an appendix, and a conclusion. It also highlights the most recent advancements in the AI in Radiology Market.

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