AI in Medical Imaging Market Size, Share & Growth Forecast 2026–2034

Source: Fortune Business Insights

Overview

Artificial intelligence is rapidly reshaping the healthcare diagnostics landscape, and nowhere is this transformation more visible than in medical imaging. According to Fortune Business Insights, the global AI in medical imaging market was valued at USD 1.88 billion in 2025 and is projected to climb from USD 2.43 billion in 2026 to USD 29.95 billion by 2034, reflecting a staggering CAGR of 36.91% over the forecast period.

This exceptional growth is fueled by rising diagnostic imaging volumes, accelerating cloud adoption in healthcare, and deep learning breakthroughs that enable faster, more accurate diagnoses.

Key Market Drivers

Cloud Adoption is one of the most powerful forces driving this market. Hospitals are increasingly migrating imaging workflows — storage, viewing, reporting, and collaboration — to cloud platforms. This makes AI tools easier to deploy uniformly across multiple sites, speeds up adoption, and enables scalable enterprise-wide contracts.

Technological Advancements are equally critical. Deep learning and machine learning algorithms now power image reconstruction, noise reduction, and automated triage, allowing clinicians to scan faster while maintaining diagnostic confidence. In January 2026, Google released MedGemma 1.5, expanding support for CT scans, MRI, histopathology, and introducing medical speech-to-text capabilities for clinical workflows.

Market Restraints & Challenges

Despite strong growth momentum, two key headwinds persist. Cybersecurity threats remain a significant concern — when imaging networks integrate AI into PACS/RIS/EHR systems, patient data exposure rises. A notable incident in March 2025 involved SimonMed Imaging, which had to suspend third-party access to its systems following a data breach.

Unclear reimbursement and ROI also slow adoption. Most AI imaging tools are not recognized as separately billable services by payers. According to a 2025 report in the Journal of the American College of Radiology, nearly 53% of AI radiology claims submitted to Medicare between 2018 and 2023 were denied, representing USD 16.4 million in rejected payments.

Segmentation Highlights

• By Component: Software dominates, driven by subscription models, algorithm licenses, and enterprise platforms. The services segment is projected to grow at a CAGR of 38.80%.
• By Deployment: On-premise leads due to low latency and data security requirements, while cloud-based is the fastest-growing segment at 47.36% CAGR.
• By Application: Radiology holds the largest share due to its high imaging volumes and need for rapid decision-making. Pathology is the fastest-growing segment at 43.29% CAGR.
• By Technology: Machine Learning & Deep Learning dominates; Natural Language Processing is growing at 45.08% CAGR.
• By Modality: CT scans lead the market, while MRI is projected to grow at 38.80% CAGR.
• By End User: Hospitals & Clinics hold the top position due to high patient volumes and multi-modality imaging needs.

Regional Outlook

North America leads globally, holding a 40.42% market share in 2025, valued at USD 0.76 billion. High imaging volumes, strong IT infrastructure, and growing cloud partnerships drive the region's dominance.

Europe is the second-fastest-growing region with an expected growth rate of 36.25%, boosted by government support and expanding diagnostic procedures.

Asia Pacific is estimated to reach USD 0.58 billion in 2026, fueled by healthcare digitalization and modernization in countries like China, Japan, and India.

Key Players

Leading companies shaping the global AI in medical imaging market include:

• Spectral AI, Inc. (U.S.)
• Viz.ai, Inc. (U.S.)
• Aidoc Medical Ltd. (U.S.)
• RapidAI, Inc. (U.S.)
• Siemens Healthineers AG (Germany)
• GE HealthCare Technologies Inc. (U.S.)
• Qure.ai Technologies Pvt. Ltd. (India)
• iCAD, Inc. (U.S.)
• HeartFlow, Inc. (U.S.)
• Gleamer S.A.S. (France)

These players are focused on strategic partnerships, regulatory approvals, and new product launches. In July 2024, GE HealthCare acquired Intelligent Ultrasound Group's AI software business for USD 51 million. Microsoft collaborated with Mass General Brigham to advance AI-driven radiology solutions.

Frequently Asked Questions (FAQs)

Q1. What is the size and share of the AI in medical imaging market? According to Fortune Business Insights, the global AI in medical imaging market was valued at USD 1.88 billion in 2025. It is projected to grow from USD 2.43 billion in 2026 to USD 29.95 billion by 2034, at a CAGR of 36.91%. North America holds the largest regional share at 40.42%, followed by Europe and Asia Pacific.

Q2. What are the key factors driving growth in this market? The primary growth drivers include rising diagnostic imaging volumes, increasing adoption of cloud-based imaging platforms, and rapid advancements in machine learning and deep learning technologies. Strategic partnerships among healthcare IT companies and growing demand for faster diagnostic turnaround are also accelerating market expansion.

Q3. Which segment holds the dominant share, and which is the fastest-growing? The software segment leads by component, while on-premise deployment leads by deployment mode. By application, radiology dominates, and pathology is the fastest-growing segment. Cloud-based deployment is the fastest-growing deployment segment, projected at a CAGR of 47.36% through 2034.

Source: Fortune Business Insights – AI in Medical Imaging Market Report