Global software-defined radio market was valued at $10.8 billion in 2025 and is projected to reach $22.8 billion by 2035, growing at a CAGR of 7.8% during the forecast period (2026–2035). The growing convergence of software-defined radio (SDR) technology with emerging fields such as 5G, IoT, and artificial intelligence (AI) is creating new growth opportunities. As global adoption of 5G, IoT, and cloud computing expands, the need for advanced communication systems like cognitive and intelligent radios is rising. Integrating AI into SDR platforms enables real-time data analysis, adaptive communication, and spectrum optimization, resulting in smarter and more resilient networks. To demonstrate this trend, several companies are introducing AI-enabled SDR solutions.
Browse the full report description of “Software-Defined Radio Market Size, Share & Trends Analysis Report by Type (General Purpose Radio, Joint Tactical Radio System (JTRS), Cognitive Radio, and Terrestrial Trunked Radio (TETRA)), by Component (Hardware, and Software), by Frequency Band (High Frequency (HF), Very High Frequency (VHF), Ultra High Frequency (UHF), and Others), by Platform (Land, Naval, Airborne, and Space), and by End-use (Aerospace & Defense, Telecommunication, Public Safety, Commercial, Transportation, and Others), Forecast Period (2026-2035)” at https://www.omrglobal.com/industry-reports/software-defined-radio-market
- In July 2024, Deepwave Digital introduced three new products in the AIR-T Embedded Product Family, featuring the NVIDIA Orin NX GPU module. These platforms combine Software Defined Radio with AI edge computing for specific RF applications, offering easy deployment and maintenance.
- In May 2024, Epiq Solutions and DeepSig collaborate to bring AI and ML to Epiq's software-defined radios, simplifying integration for customers and advancing signal processing and SDR innovation.
- In June 2023, BrainChip Holdings Ltd and Lorser Industries Inc. collaborated using BrainChip's Akida technology to develop neuromorphic computing solutions for software-defined radio devices. Akida’s neural network processing allows SDR devices to perform advanced tasks such as signal detection, classification, modulation/demodulation, encryption/decryption, and detect anomalies in signal or acoustic data with AI and machine learning.
Market Coverage
- The market number available for – 2025-2035
- Base year- 2025
- Forecast period- 2026-2035
- Segment Covered-
- Type
- Component
- Frequency Band
- Platform
- End-Use
- Competitive Landscape – BAE Systems plc, Elbit Systems Ltd., General Dynamics Mission Systems Inc., L3Harris Technologies, Inc., Thales Defense & Security, Inc., among others.
Key questions addressed by the report.
- What is the market growth rate?
- Which segment and region dominate the market in the base year?
- Which segment and region will project the fastest growth in the market?
- Who is the leader in the market?
- How are players addressing challenges to sustain growth?
- Where is the investment opportunity?
Global Software-Defined Radio Market Report Segment
By Type
- General Purpose Radio
- Joint Tactical Radio System (JTRS)
- Cognitive Radio
- Terrestrial Trunked Radio (TETRA)
By Component
By Frequency Band
- High Frequency (HF)
- Very High Frequency (VHF)
- Ultra-High Frequency (UHF)
- Others
By Platform
By End-use
- Aerospace & Defense
- Telecommunication
- Public Safety
- Commercial
- Transportation
- Others
Global Software-Defined Radio Market Report Segment by Region
North American
Europe
- UK
- Germany
- Italy
- Spain
- France
- Russia
- Rest of Europe
Asia-Pacific
- China
- Japan
- South Korea
- India
- Australia & New Zealand
- ASEAN Economies
- Rest of Asia-Pacific
Rest of the World
- Latin America
- Middle East and Africa
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