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Leading Firms Fueling Innovation and Growth in the Artificial Intelligence (AI)-Based Cognitive Electronic Warfare (CEW) Market

01-19-2026 11:50 AM CET | Aerospace & Defense

Press release from: The Business Research Company

Artificial Intelligence (AI)-Based Cognitive Electronic Warfare (CEW)

Artificial Intelligence (AI)-Based Cognitive Electronic Warfare (CEW)

The field of electronic warfare is undergoing a significant transformation with the integration of artificial intelligence (AI), promising to enhance defense capabilities dramatically. As AI technologies evolve, the cognitive electronic warfare (CEW) market is set to expand rapidly, driven by innovations that improve decision-making, threat detection, and operational efficiency. Below is a detailed overview of the market's expected growth, leading players, key trends, and segmentation insights.

Projected Growth Trajectory of the AI-Based Cognitive Electronic Warfare Market
The AI-driven cognitive electronic warfare market is poised for substantial expansion, with its value anticipated to reach $1.44 billion by 2030. This corresponds to an impressive compound annual growth rate (CAGR) of 20.0%. Several factors contribute to this growth, including the fusion of AI with autonomous decision-making systems, enhanced accuracy in spectrum sensing and jamming, the rise of multi-domain electronic warfare solutions, and the growing deployment of AI-powered training and simulation platforms. Additionally, the commercialization of these technologies for allied defense networks further fuels market momentum. Emerging innovations expected to shape this sector involve automated cognitive jamming, real-time adaptive threat detection models, multimodal radio frequency signal fusion for better situational awareness, integrated cognitive EW suites at the platform level, and expanded ecosystems for AI-enabled training and simulations.

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Key Factors Propelling the AI-Based Cognitive Electronic Warfare Market
The market's expansion is strongly driven by the increasing need for systems that can autonomously identify and counteract complex electronic threats in dynamic combat environments. Integrating AI enhances the speed and precision of electronic warfare operations, enabling forces to maintain superiority in contested scenarios.

Moreover, the development of advanced multi-domain electronic warfare solutions allows for seamless coordination across land, air, naval, and space platforms. This integration ensures comprehensive coverage and improved resilience against emerging threats, making AI-powered CEW technologies indispensable for modern defense strategies.

View the full artificial intelligence (ai)-based cognitive electronic warfare (cew) market report:
https://www.thebusinessresearchcompany.com/report/artificial-intelligence-ai-based-cognitive-electronic-warfare-cew-global-market-report

Top Industry Players in the Artificial Intelligence-Based Cognitive Electronic Warfare Market
The competitive landscape of the AI-based cognitive electronic warfare space features several prominent companies, such as Lockheed Martin Corporation, Northrop Grumman Corporation, BAE Systems plc, Thales Group, L3Harris Technologies Inc, Rheinmetall AG, CACI International Inc., Elbit Systems Ltd, Israel Aerospace Industries Ltd, Saab AB, ASELSAN AS, Rohde & Schwarz GmbH & Co. KG, Leonardo SpA, QinetiQ Group plc, Hensoldt AG, SRC Inc, Meteksan Defence, Robin Radar Systems BV, Adani Defence & Aerospace, and China Electronics Technology Group Corporation.

In a notable development in May 2025, the Italian defense firm Leonardo S.p.A. entered into a partnership with UK-based Faculty AI to accelerate innovation in AI-driven defense technologies. This collaboration focuses on Cognitive Intelligent Sensing (CoInS) and Electronic Warfare (EW), aiming to boost operational efficiency and integrate AI into Leonardo's internal processes, while nurturing AI talent within the industry.

Emerging Trends and Innovations in the AI-Based Cognitive Electronic Warfare Market
Leading companies are prioritizing the development of cognitive algorithm deployment systems that leverage AI and machine learning to autonomously detect, identify, and prioritize threats in real time. These advanced platforms significantly enhance situational awareness and empower rapid, adaptable responses in complex threat environments.

For example, in February 2025, Raytheon Technologies demonstrated a pioneering AI/ML-powered Radar Warning Receiver designed for 4th generation aircraft. This cutting-edge system incorporates cognitive algorithms to enable real-time threat detection and prioritization, supports adaptive countermeasures, and can be integrated into existing aircraft platforms. Its AI-enhanced processing capabilities facilitate quicker decision-making, improve survivability, and boost mission success rates in contested airspaces.

Segmentation Overview of the AI-Based Cognitive Electronic Warfare Market
This market is segmented based on various factors to provide detailed insights:
1) Component Type: Hardware and Software
2) Platform: Naval, Airborne, Land, and Space systems
3) Capability: Electronic Attack, Electronic Protection, Electronic Support, and Electronic Intelligence

Further subcategories elaborate on hardware components such as sensors, antennas, processors, transmitters, receivers, power supply units, field programmable gate arrays (FPGAs), and application-specific integrated circuits (ASICs). On the software side, the market includes signal processing, threat detection and identification, machine learning algorithms, data fusion and analytics, simulation and training, cybersecurity and encryption, as well as system integration and mission planning software.

Regional Outlook and Market Dynamics
While the report does not specify regional breakdowns, the global nature of defense technologies suggests that growth in AI-based CEW will be influenced by investments and innovations across leading military powers worldwide. The integration of AI into electronic warfare systems is expected to shape defense strategies significantly on multiple continents in the coming years.

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