(MENAFN- GlobeNewsWire - Nasdaq) Imaging radar presents significant market opportunities driven by demand for high-res, real-time autonomous solutions. The surge in patent activity demonstrates its importance across diverse platforms such as terrestrial vehicles, drones, and defense, with key players and newcomers intensifying IP competition.

Dublin, Oct. 10, 2025 (GLOBE NEWSWIRE) -- The "Imaging Radar for Autonomous Systems: 2025 Patent Landscape Analysis" report has been added to ResearchAndMarkets's offering.

This report provides a detailed analysis of the global patent landscape for imaging radar technologies applied to autonomous systems. Based on more than 10,600 identified patent families (inventions), including selected over 2,800 core inventions, the study captures the strong acceleration of innovation in this field over the past decade. The increase in patent activity is closely tied to the growing demand for high-resolution, real-time perception solutions across a wide range of autonomous platforms.

Key Features

• PDF>150 slides
• Excel database containing all patents analyzed in the report (>10,600 patent families), including patent segmentations and hyperlinks to an updated online database.
• Global patenting trends, including time evolution of patent publications, countries of patent filings, etc.
• Main patent assignees and IP newcomers in the different segments.
• Key players' IP position and the relative strength of their patent portfolio.
• IP ecosystems including sub-brands, JV with shared IP ownership, main co-owned IP, etc.
• Patents categorized by 6 application domains (terrestrial, aerial, robotics, space, marine, defense) and 5 technology layers comprising 11 techniques (FMCW, MIMO, Beamforming, 4D imaging radar, SAR, ISAR, calibration, point cloud, SLAM, tracking, AI and sensor fusion), with a focus on terrestrial applications and 4D imaging radar.
• IP profile of key players (patent portfolio overview, technical coverage, geographical coverage, notable granted and pending patents, etc.)

Imaging Radar: A Core Driver of High-Resolution Autonomy

Imaging radar represents the next generation of radar sensing technologies, designed to overcome the limitations of conventional radars that provide only basic range and velocity measurements. By simultaneously capturing range, velocity, azimuth and elevation, imaging radar produces high-resolution 3D/4D perception. These dense radar point clouds enable advanced perception functions including object classification, free space detection, mapping and scene reconstruction.

Thanks to its robustness in adverse weather, low light and complex operating environments, imaging radar is becoming a cornerstone for safe and reliable autonomous systems. Its deployment spans terrestrial mobility such as ADAS, L2-L4 autonomous driving and robotaxi platforms, as well as aerial drones, marine vessels, robotics, space, and defense applications. The rapid acceleration of patenting activity reflects this momentum. More than 22,200 patent applications grouped into over 10,600 patent families (inventions) have been identified worldwide, including more than 2,800 core patent families that demonstrate a high degree of relevance to the imaging radar domain. This strong intellectual property (IP) dynamic demonstrates that imaging radar is transitioning from a complementary sensor to a primary perception modality, shaping the future of autonomy and driving one of the most competitive IP battlefields in advanced sensing.

Global IP Trends and Strategic Players

The patent landscape for imaging radar has experienced an unprecedented acceleration. From 2015 to 2024, imaging radar patent family publications grew from 145 to 1,790, an increase of over 1100% and a CAGR of 32% marking a period of explosive innovation. This surge reflects the technological transition toward 4D imaging radar, AI-driven perception and multi-sensor fusion. The United States and China dominate the field, together accounting for more than half of global filings, while Europe maintains a strong position through Tier-1 suppliers such as Bosch, ZF and Valeo.

Established players including Intel-Mobileye, Bosch, General Motors, Alphabet - Waymo, Huawei-Yinwang and Magna hold diversified patent portfolios that span radar hardware, perception software and sensor fusion. At the same time, specialized innovators such as Arbe Robotics, Uhnder, Aptiv and Metawave are building targeted portfolios in 4D radar chipsets, point cloud processing and real-time environmental perception. Academic institutions, notably Xidian University, UESTC, BUAA and AIRCAS, continue to shape foundational innovation in waveforms, antenna design and beamforming. This complex interplay of industrial leaders, startups and research institutes defines one of the most competitive IP domains in advanced sensing.

IP Innovation Across Applications and Technical Layers

Imaging radar patents are classified into six main application domains: terrestrial, aerial, marine, space, robotics and defense. The patent landscape has been further structured into five technology layers encompassing 11 key enabling techniques, ranging from waveform design and system platforms to calibration, perception and sensor fusion. Our analysis indicates that terrestrial mobility is the most active and technically advanced area, driven by ADAS, Level 2 to Level 4 autonomy and robotaxi deployment.

Other domains such as UAV navigation, maritime sensing and defense applications are also expanding. Across the technology stack, innovation spans from FMCW and MIMO signal processing to AI-enhanced perception and multi-sensor fusion, highlighting the central role of imaging radar in next generation autonomy.

A Competitive and Rapidly Evolving IP Landscape

The imaging radar IP landscape is highly dynamic. Established OEMs and Tier-1 suppliers maintain strong positions, but new entrants are rapidly reshaping the field, with radar startups and ADAS suppliers particularly active. IP leadership now depends not only on the size of a portfolio but also on enforceability, geographic reach and technological impact. Companies such as GM, Intel-Mobileye, Bosch and Huawei-Yinwang combine extensive portfolios with a high volume of patent applications, while patent assignees like Arbe Robotics and Uhnder have demonstrated high IP strength and influence per patent.

In addition to individual patent portfolios, the IP ecosystem is shaped by sub-brands, joint ventures with shared IP ownership and co-owned patent families, all of which highlight the strategic role of IP in driving both competition and collaboration.

From Key Players to the Entire IP Landscape

This report provides in-depth insights into the IP strategies of the main actors shaping the imaging radar domain. It includes detailed profiles of General Motors, Intel-Mobileye, Bosch, Huawei-Yinwang, Magna and Alphabet-Waymo, covering portfolio dynamics, notable granted and pending patents, legal status and global coverage. Beyond these key players, the report delivers a comprehensive classification of all identified patent assignees including automakers, Tier-1 suppliers, sensing and ADAS companies, electronics manufacturers, technology firms, academia, and defense and aerospace players. Within each segment, we identify both the established IP leaders and the IP newcomers, providing a clear view of how innovation and competition are distributed across the ecosystem.

For executives, IP professionals and R&D teams, the report delivers a comprehensive overview of a fast-evolving and competitive technology space. By aligning patent intelligence with strategic planning, companies can strengthen their innovation roadmap, secure competitive advantage and position themselves at the forefront of autonomous mobility and advanced sensing.

Useful Excel Patent Database

This report includes an extensive Excel database with the 10,600+ patent families (inventions) analyzed in this study, including patent information (publication numbers, assignees, dates, title, abstract, etc.), hyperlinks to an updated online database (original documents, legal status, etc.), and structured classification by application segments (terrestrial, aerial, robotics, space, marine, and defense), five technology layers with 11 key technique segments (FMCW, MIMO, beamforming, 4D imaging radar, SAR, ISAR, calibration, point cloud, SLAM, tracking, AI and sensor fusion), as well as the identified core inventions. This database supports advanced multi-criteria searches and provides direct access to updated records, enabling users to benchmark portfolios, monitor competitors, identify potential partners or acquisition targets and evaluate freedom-to-operate constraints.

This report equips executives, R&D teams, and IP professionals with the tools to:

• Align innovation strategies with patent and technology dynamics.
• Strengthen competitive positioning by identifying both IP leaders and fast-moving IP newcomers.
• Secure freedom-to-operate through in-depth portfolio benchmarking and ecosystem mapping.
• Anticipate technological trajectories in one of the most competitive IP battlefields in autonomy.

Key Topics Covered:

1. INTRODUCTION

• Context of the report
• Scope and objectives of the report
• Reading guide
• Excel database

2. EXECUTIVE SUMMARY

3. PATENT LANDSCAPE OVERVIEW

• IP dynamics
• Time evolution of patent publications by countries
• Main patent assignees (according to number of patent families, number of patent
• applications, number of core inventions; classified by typology, by legal status, by
• domestic vs. global IP strategies, etc.)
• Timeline of IP players
• IP leadership of patent assignees
• Geographical coverage of main players' patents
• High-impact patent assignees for granted patent portfolios
• IP ecosystems

5. PATENT SEGMENTATION

• Segments definition
• Patent segmentation - applications
  • Segmentation overview (number of patent families, number of active patent assignees, main patent assignees, IP newcomers, etc)
  • For each segment (terrestrial, aerial, robotics, space, marine, and defense)
  • Main patent assignees ranking for terrestrial applications
• Patent segmentation - technologies
  • Segmentation overview (number of patent families, number of active patent assignees, main patent assignees, IP newcomers, etc)
  • For each segment (five technology layers comprising 11 techniques)
  • IP leadership of patent assignees for 4D imaging radar

5. IP PROFILE OF A SELECTION OF PATENT ASSIGNEES

• General Motors, Intel - Mobileye, Bosch, Huawei - Yinwang, Magna and Alphabet - Waymo
  • For each player:
    • Patent portfolio overview (IP dynamics, segments, legal status, geographic
    • coverage, citations, patent family extension ratio, etc.)
    • Notable granted patents
    • Notable pending patents

6. PATENT LITIGATION

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Attachments

• Time Evolution of Patent Publications Related to Imaging Radar for Autonomous Systems
• IP Leadership of Patent Assignees for Core Imaging Radar Inventions

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