Artificial Intelligence in Medical Diagnostics Patent Landscape Report and Forecast 2024-2032

Artificial intelligence in the medical diagnostics market was valued at USD 1.22 billion in 2023. It is expected to grow at a CAGR of 36.1% during the forecast period of 2024-2032, reaching a market value of USD 19.55 billion by 2032. This rapid growth is driven by a dynamic patent landscape that focuses on cutting-edge advancements in AI algorithms, integration with advanced imaging technologies, and data analytics. Extensive patent activity underscores the industry's emphasis on enhancing diagnostic accuracy, developing personalised treatment solutions, and improving patient outcomes through innovative AI-driven technologies.

Patent Landscape Report Coverage

This report offers a detailed examination of the global patent landscape for Artificial Intelligence in medical diagnostics. It explores patent trends, key innovations, and technological developments within this rapidly evolving sector. The report analyses patent filings, grants, and the strategies of leading companies that are at the forefront of AI-driven diagnostics. By showcasing significant advancements and highlighting emerging technologies, this report provides valuable insights into the intellectual property dynamics and competitive landscape of the AI in medical diagnostics industry, making it an essential resource for stakeholders and decision-makers.

Global Artificial Intelligence in Medical Diagnostics Patent Outlook

• The patent landscape for Artificial Intelligence in medical diagnostics is driven by innovations in AI algorithms, integration with advanced imaging technologies, and data analytics. Over 15,000 patents emphasise the enhancement of diagnostic accuracy and efficiency, reflecting the critical role AI plays in modern healthcare.
• Key players such as Samsung Electronics Co Ltd, Qualcomm Inc., and LG Corp. dominate the patent landscape, collectively holding over 6,300 patents. These companies focus on developing AI-driven imaging solutions, predictive analytics, and real-time data integration to improve diagnostic outcomes.
• The United States leads with more than 8,000 patents, driven by advancements in AI technologies and regulatory support. Europe, particularly the United Kingdom and Germany, follows closely with over 6,500 patents, focusing on the integration of AI with imaging systems. The Asia-Pacific region, led by China and Japan, is rapidly growing with over 5,500 patents, emphasising scalable, cost-effective AI solutions for expanding healthcare infrastructures.

Artificial Intelligence in Medical Diagnostics Introduction

Artificial Intelligence (AI) in medical diagnostics is transforming the healthcare landscape by improving the accuracy, speed, and efficiency of diagnostic procedures. This cutting-edge technology employs machine learning algorithms, deep learning, and neural networks to analyse a vast array of medical data, including imaging, pathology, and genomics. The goal is to enhance early disease detection, and diagnosis, and personalise treatment plans. The patent landscape in this domain is driven by the demand for more precise diagnostic tools, the integration of AI with advanced imaging technologies, and the overarching aim of improving patient outcomes.

• The development of sophisticated AI algorithms, particularly those designed to improve diagnostic accuracy, is a significant driver. Over 6,000 patents are focused on AI-driven image analysis, predictive analytics, and decision support systems, which play a critical role in boosting diagnostic precision and operational efficiency within clinical environments.
• There is also a strong focus on integrating AI with imaging modalities such as MRI, CT, and ultrasound. Approximately 3,800 patents have been filed for technologies that enable seamless integration, facilitating real-time analysis and interpretation of medical images, which enhances diagnostic workflows and patient care.
• Patent activity is also driven by innovations aimed at enhancing data-driven diagnostics and personalised medicine. Around 3,200 patents concentrate on developing AI tools that analyse patient data, including electronic health records and genetic information, to provide customised treatment recommendations and improve patient outcomes.

These drivers create a vibrant patent landscape that fosters innovations centred on precision, integration, and patient-centric care in the realm of medical diagnostics.

Global Artificial Intelligence in Medical Diagnostics Patent Segmentation Analysis

The report provides an in-depth analysis of the patents in this field by the following segmentation :

Analysis by Type

• Software
• Services

Based on patent segmentation by type, software solutions lead the landscape with over 7,500 patents filed historically and approximately 800 new filings in the past year. This dominance is driven by innovations in AI algorithms that improve diagnostic accuracy, data processing, and predictive analytics. Service-based patents, with around 4,200 historical filings and 450 recent ones, are also growing, focusing on integrating AI into healthcare services to enhance diagnostic workflows, telemedicine, and patient management, driving the future of personalised care solutions.

Analysis by Application

• Neurology
• Radiology
• Oncology
• Others

Neurology leads the patent landscape with over 3,500 patents filed historically, driven by AI applications in the early detection of neurological disorders. Radiology follows closely, with approximately 3,200 patents focused on AI-enhanced imaging techniques, while oncology holds around 2,800 patents, centred on AI-driven cancer detection and personalised treatment strategies. The category, encompassing various medical fields, has seen about 1,500 patents, indicating the broad applicability of AI in diagnostics across multiple specialities.

Analysis by End User

• Hospitals
• Diagnostic Centre
• Others

Hospitals dominate the patent landscape with over 4,000 patents, reflecting their key role in adopting AI for diagnostics. Diagnostic centres follow with around 2,500 patents, focusing on specialised AI-driven diagnostic services. The category, which includes various healthcare settings, accounts for approximately 1,200 patents, highlighting the expanding use of AI technologies across different end-user environments in the medical diagnostics field.

Artificial Intelligence in Medical Diagnostics Patent Jurisdiction Analysis

The global patent landscape for Artificial Intelligence in medical diagnostics shows significant regional variation and innovation. In North America, the United States leads with over 8,000 patents, focusing on advanced AI algorithms and integration with healthcare systems to enhance diagnostic accuracy and efficiency. Europe, particularly the United Kingdom and Germany, holds around 6,500 patents, emphasising the integration of AI with imaging technologies and data analytics to improve patient outcomes. The Asia-Pacific region, led by China and Japan, has filed over 5,500 patents, driven by the demand for scalable AI solutions to support rapidly expanding healthcare infrastructures. This region prioritises cost-effective, adaptable AI technologies to meet diverse diagnostic needs.

Patent Profile of Key Companies

Several key companies driving innovation and securing intellectual property shape the patent landscape for artificial intelligence in medical diagnostics. Here is an overview of their patent activities.

Samsung Electronics Co Ltd

Samsung Electronics Co Ltd, headquartered in Suwon, South Korea, holds over 2,500 patents related to Artificial Intelligence in medical diagnostics, with approximately 300 patents currently in progress. The company focuses on innovations in AI-driven imaging technologies and data analytics, aiming to enhance diagnostic accuracy and integration with existing medical systems through its strategic patent filings.

Qualcomm Inc.
Qualcomm Inc., based in San Diego, California, has secured over 2,000 patents in the field of AI for medical diagnostics, with around 250 patents presently under review. The company's innovations primarily target AI algorithms and wireless communication technologies that support real-time diagnostic solutions, strengthening its position as a leader in healthcare AI.

LG Corp.
LG Corp., headquartered in Seoul, South Korea, holds more than 1,800 patents in AI for medical diagnostics, with approximately 200 patents currently pending. The company is focused on developing AI-driven diagnostic tools and integrated systems that enhance imaging precision and patient care, reflecting its commitment to advancing healthcare technology through strategic patent activities.

Other key players in the market include IBM Corp., Nvidia Corp, and Koninklijke Philips NV.
Key Questions Answered in the Global Artificial Intelligence in Medical Diagnostics Patent Landscape Report

• What are the key trends driving patent activity in AI in the medical diagnostics sector?
• Which companies hold the largest patent portfolios in AI-driven medical diagnostics?
• What are the strategic focuses of companies with significant patent portfolios in AI medical diagnostics?
• How is the patent landscape segmented by technology type in the AI medical diagnostics industry?
• Which technology segments are leading in innovation within the AI medical diagnostics patent landscape?
• What are the regional variations in patent filings for AI in medical diagnostics?
• Which jurisdictions are leading in the number of AI medical diagnostics patents?
• How does the integration of AI with imaging technologies influence patent trends in medical diagnostics?
• What emerging technologies are highlighted by recent patent filings in the AI medical diagnostics sector?
• How does patent activity in AI medical diagnostics correlate with the industry’s market growth projections?
• Which AI applications, such as neurology or oncology, are experiencing the most patent activity in medical diagnostics?
• What is the role of AI-driven software in the patent landscape of medical diagnostics?
• What is the role of AI-driven services in the patent landscape of medical diagnostics?
• How are leading companies leveraging their patent portfolios to maintain competitive advantages in the AI medical diagnostics market?
• What are the implications of AI patent trends on the future of medical diagnostics?

Reasons to Purchase this Report

This report offers an in-depth analysis of the patent landscape, covering key trends, technological advancements, and regional insights. It provides detailed segmentation and highlights areas of significant innovation and activity. By examining leading companies' strategies and patent portfolios, the report elucidates competitive dynamics and emerging opportunities. Stakeholders will gain valuable information for strategic decision-making, ensuring they stay ahead in the evolving market. This comprehensive coverage makes it an essential resource for understanding the industry's future direction.


This product will be delivered within 5-7 business days.