A new StrategyR study highlights a global market of $ 33.2 billion for software-defined radio (SDR) by 2026.
SAN FRANCISCO, 18 February 2022 / PRNewswire / – A new market research published by Global Industry Analysts Inc., (GIA), the leading market research firm, today released its report entitled “Software Defined Radio (SDR) – Global Market Trajectory & amp “Analytics”. The report presents new perspectives on opportunities and challenges in a markedly transformed post COVID-19 marketplace.
BRIEF FACTS What’s new for 2022?
Edition: 18; Published: February 2022 Executive Pool: 8838Companies: 92 – Players covered include BAE Systems PLC; Bharat Electronics Limited; Collins Aerospace; Datasoft Corporation; Elbit Systems Ltd .; Epiq Solutions, LLC; Ettus Research; FlexRadio Systems, Inc .; L3Harris Technologies, Inc .; Microtelecom Srl; Northrop Grumman Corporation; Rohde & amp; Schwarz GmbH & amp; Co KG; SDRplay; Signalscape, Inc.; Thales Defense & amp; Security, Inc .; ViaSat, Inc. and others.Cover: All major geographies and key segmentsSegments: Component (receiver, transmitter, other hardware, software, services); Application (Aviation and Defense, Telecommunications, Public Security, Commercial, Other Applications) Geographies: World; USA; Canada; Japan; China; Europe; France; Germany; Italy; UK; Spain; Russia; The rest of Europe; Asia-Pacific; Australia; India; South Korea; Rest of the Asia-Pacific region; Latin America; Argentina; Brazil; Mexico; The rest of Latin America; Middle East; Israel; Saudi Arabia; The rest of the Middle East; Africa.
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Global Market for Software Defined Radio (SDR) to reach $ 33.2 billion by 2026. SDR represents a type of sophisticated radio communication that relies on software on PCs or embedded systems instead of hardware components. Growth in the global market is influenced by factors such as the cost of military communications systems, the adoption of car radios, the proliferation of connected devices and investments in wireless technology. The increasing use of digital servers favors the adoption of SDRs globally, with commercial use, military and public security being the main uses of these systems. SDR demand is also driven by their advanced functionality, ability to improve efficiency and reduce costs, ongoing digitization and favorable regulations. SDRs are commonly used in space communications to improve satellite performance and accurately support multiple frequency bands. SDR architectures are expected to play an important role in the provision of specific telecommunications services, including radio broadcasts, digital television and video streaming. The commercial and technical viability of SDR technology has also been pushed by new technologies such as smart antennas, software, networking, signal processing, semiconductors and batteries.
Amid the COVID-19 crisis, the global Software Defined Radio (SDR) market is estimated at $ 25.1 billion by 2022, reaching a revised $ 33.2 billion by 2026 and growing at a CAGR of 7.2 % in relation to analysis period. Receiver, one of the segments analyzed in the report, is expected to grow by 5.9% CAGR to reach $ 5.9 billion by the end of the analysis period. After a thorough analysis of the business consequences of the pandemic and its induced economic crisis, growth in the transmitter segment is adjusted to a revised 6% CAGR for the next 7-year period. This segment currently accounts for 14.5% of the global Software Defined Radio (SDR) market. SDR receiver converts complex signal management required for communication transmitters and receivers into digital style. Transmitters are commonly used to produce and transmit electromagnetic waves intended to carry messages and signals. These components allow the transmission of significant amounts of data over long distances through frequency modulation.
Demand for SDRs is currently booming, and the most important factor attributed to this growth is the development of a new generation of SDRs equipped with a broadband network waveform that can provide mobile network connectivity across the battlefield. The new technology also provides compatibility with current waveforms deployed by defense agencies. Technological advances that include Voice over Internet Protocol (VoIP), cellular, satellite communications, tactical radios, time-division multiplexing (TDM) and SCIP cryptographic devices have improved SDR capabilities, which in turn help secure connectivity in different terrains. The development of next-generation SDRs is expected to be driven by increasing integration of analog and digital technology into mixed signal chips. The introduction of high-performance FGPA-based processors enables further SDR advances in speed, power efficiency and form factor. Advanced software tools such as RF Network on Chip (RFNoC) and LabVIEW FPGA module offer a streamlined user experience to facilitate efficient FPGA programming.
By leveraging advances in data conversion performance and the development of the next generation of analog-to-digital converters (ADCs) with higher sampling rates and wider analog bandwidths, advanced SDR platforms will have less form factor, lower power consumption and access to new frequency bands . As a result, SDR technology is increasingly being used to develop, among other things, low-cost and high-resolution custom MRI spectrometers, spectrum monitoring equipment and low-latency wireless applications. The advent of video, big data, and cloud computing is driving a huge demand for faster, more efficient, and more reliable networks. Against this background, SDR and new wireless technologies are expected to play a crucial role in facilitating business transformation. Modern SDR technology offers secure wireless nodes, low latency point-to-point wireless links and the ability to simultaneously engage with multiple devices. Focus on developing new communications technologies for military applications that are cost-effective and provide enhanced capabilities presents new revenue opportunities for SDRs. Software-defined, multi-channel radios are expected to become more prominent as they enable military forces to effectively tackle new threats.
The US market is estimated at $ 13.1 billion in 2022, while China is expected to reach $ 1.3 billion in 2026. The Software Defined Radio (SDR) market in the US is estimated at $ 13.1 billion by 2022. The country stands at currently for 52% share of the global market. China, the world’s second largest economy, is expected to reach an estimated market size of $ 1.3 billion by 2026, following a CAGR of 9.3% through the analysis period. Among the other notable geographic markets are Japan and Canada, each expected to grow by 5.6% and 6.8% respectively during the analysis period. Within Europe, Germany is expected to grow by approximately 6.5% CAGR, while the rest of the European market (as defined in the study) will reach $ 2.9 billion by the end of the analysis period. North America and Europe remain at the forefront of the global SDR market due to factors such as military spending levels, technological advances and the presence of leading players. The U.S. market is powered by the Joint Tactical Networking Center (JTNC) program, which aims to provide technical support for wireless communications systems to the U.S. Department of Defense. The European market is expected to witness lucrative growth opportunities in the coming years due to the ongoing developments related to AI for military operations and advances in cognitive radios. Growth in the Asia-Pacific region is driven by rising defense spending across developing countries, including India and China.
The emergence of new derivative technologies such as cognitive radio provides opportunities for growth in the SDR market. Cognitive Radio (CR), the advanced version of the software-defined radio, is a pure network technology that dynamically detects available channels in wireless spectrum and change transmission parameters, allowing synchronous execution of high communication volume. As an advanced radio technology, cognitive radio radio devices enable the recording, recording, tuning and monitoring of communication channels in addition to accessing the dynamic radio frequency atmosphere in which those channels are located. In short, cognitive radio technology (CR) enables a radio device to intelligently detect unused frequency bands and automatically adjust its behavior or operations. The radio detects recorded channels and migrates to or uses them for free. They can make decisions about their radio operations behavior by mapping this information toward predefined goals. This real-time decision-making capability increases spectrum efficiency, leading to higher bandwidth services while minimizing interference. It thus improves the performance of both underutilized spectrum and overloaded spectrum. The cognitive radio network consists of two subsystems, namely a cognitive unit that makes decisions based on different inputs, and a flexible SDR unit whose operating software provides a range of possible operating modes.
The software segment will reach $ 13 billion by 2026. The software component is estimated to record remarkable growth due to increasing demand from commercial applications. In addition to defining features and specifications, the software offers enhanced flexibility to balance network load and eliminate capacity bottlenecks to support packet-switched kernel backhaul. The increasing use in various applications such as GPS, remote radio monitoring, text messaging, data information and voice access is expected to increase the demand for advanced software. In the global software (component) segment, the US, Canada, Japan, China and Europe will operate the 8.3% CAGR estimated for this segment. These regional markets, which account for a total market size of $ 7.2 billion, will reach an expected size of $ 12.6 billion by the end of the analysis period. China will remain among the fastest growing in this cluster of regional markets. Led by countries such as Australia, India and South Korea, the Asia-Pacific market is expected to reach $ 330.8 million by 2026, while Latin America will expand with a CAGR of 6.6% over the analysis period. More
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