Signals Intelligence Market size was over USD 14.69 Billion in 2023 and is poised to cross USD 27.36 Billion by 2036, witnessing more than 4.9% CAGR during the forecast period i.e., between 2024-2036. In the year 2024, the industry size of signals intelligence is evaluated at USD 15.38 Billion. Owing to technological advancement, signals intelligence is widely collected with the help of unmanned ariel vehicles such as drones. As the speed and frequency of signals used in intelligence technology increase, this information serves as the basis for aerial surveillance, military and defense systems, security operations, and public order control. In May 2020, U.S. Army announced that they are planning to pick signals intelligence and unmanned ariel vehicle for Africa from Textron AAI.
With global terrorism on the rise, these has been increasing investment by military authorities and governments. In August 2020, the Taiwan government announced an increased defense budget of USD 1.6 billion. This signal helps national security forces identify potential threats they are about to encounter. This technology suite includes a high-speed interceptor with various sensors, radar, sonar, a command and control center, and a special sensor suite.
Growth Drivers
Challenges
Base Year |
2023 |
Forecast Year |
2024-2036 |
CAGR |
4.9% |
Base Year Market Size (2023) |
USD 14.69 Billion |
Forecast Year Market Size (2036) |
USD 27.36 Billion |
Regional Synopsis |
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Application (Cyber Intelligence, Ground-Based Intelligence, Naval Intelligence, Space Intelligence, Airborne Intelligence)
The cyber intelligence segment in the signals intelligence market is expected to hold the largest revenue share by the end of 2036. The aerospace and military industry is giving rise to technologies such as AI, machine learning, industry 4. o, and others which further are responsible for the digital transformation of the defense sector. The defense sector is venturing into analytics and integrating cloud services which further is expected to aid them in improving productivity. However, this growing digitalization is anticipated to create fabulous opportunities for cybercriminals, and cybercrime activities are expected to take place more here as compared to some other industries, resulting in the growth of the segment in the market.
Type {Electronic Intelligence (ELINT), Communications Intelligence (COMINT)}
Signals intelligence (SIGINT) market from the communications intelligence (COMINT) segment is projected to account for significant market growth with a share of 60 % in the forecast period. This tool is specifically used by the military in order to take real-time decisions on the battlefield. It helps in collecting information from enemy troops, consisting of both text and voice message that aids the army in getting updated with the latest piece of information and plan.
Our in-depth analysis of the global market includes the following segments:
Application |
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Type |
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North American Market Statistics
The signals intelligence (SIGINT) market in the North America is expected to grow widely in the projected period with increasing investment in the military and defense sectors. The North America region has the biggest investment in the military and defense sector, mostly owing to increased spending in the United States. As per the U.S., Department of Defense, The U.S. Navy is expected to spend around USD 59 billion on military personnel accounting for around 25% of the budget plan. The increasing number of terrorist attacks in recent years has forced the regional government to implement a strong physical security strategy.
APAC Market Analysis
The Asia Pacific signals intelligence (SIGINT) market is expected to be the fastest-growing market with a market revenue of 25 % in the predicted period. The market is growing at the fastest rate owing to growing security and border threats from neighboring countries. Increasing technological advancement and rapid economic growth in countries such as China, and India have contributed to the growing investment in APAC signal intelligence.
Author Credits: Abhishek Verma
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