The report on Artificial Intelligence in Military Market provides a detailed trend analysis from 2020 to 2025. It discusses industry and technology trends currently prevailing in the market, along with drivers, restraints, challenges, and opportunities that influence the growth of the market.
The Artificial Intelligence in the military market is estimated at USD 6.3 billion in 2020 and is projected to reach USD 11.6 billion by 2025, at a CAGR of 13.1% during the forecast period. The growth of the market for artificial intelligence in the military sector can be attributed to the increasing investment in the development of AI-integrated systems and the rising adoption of cloud-based applications and high-performance computers. However, protectionist policies and lack of standard protocols, leading to limited access to military platforms, are acting as a restraint to the growth of this market.
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Key Market Players
The Artificial Intelligence in the Military market is dominated by a few globally established players such as BAE Systems Plc. (UK), Northrop Grumman Corporation (US), Raytheon Technologies Corporation (US), Lockheed Martin Corporation (US), Thales Group (US), L3Harris Technologies, Inc. (US), IBM (US), and Rafael Advanced Defense Systems (Israel), among others, are the key manufacturers that secured AI in Military in the last few years. A major focus was given to the development of new products and collaboration among the players due to the changing requirements of armed forces across the world
Based on application, the Warfare Platforms segment is projected to lead the Artificial Intelligence in the Military market in terms of share from 2020 to 2025. Military forces worldwide are incorporating AI for the development of efficient warfare systems that are less dependent on human input. It also leads to limited maintenance, increased synergy, and enhanced performance of warfare systems. Among warfare platforms, electronic warfare (EW) is seen to be widely adopted. Incorporating artificial intelligence in EW platforms improves situational awareness and reduces reaction time, helping it to improve its efficiency.
Based on the platform, the space segment of Artificial Intelligence in the military market is projected to grow at the highest CAGR from 2020 to 2025. The increasing deployment of space AI in military systems by countries to ensure the safety of their borders has led to the growth of this segment. AI systems deployed on the space platform enable real-time mapping of objects in the Earth’s orbit and support various operations such as controlling drone swarm networks, providing advanced situational awareness, and battlefield decision support.
Based on technology, the machine learning segment is estimated to account for the largest share of Artificial Intelligence in the military market in 2019. The adoption of machine learning in the military can be attributed to the availability of huge volumes of data and intelligence gathered, which improves deep learning accuracy and capabilities. Machine learning technology is now used in the facial recognition of military personnel and criminals, situation predictions, situation simulation, target recognition, strategic planning, and so on.
Based on Region, North America is estimated to account for the largest share of Artificial Intelligence in the military market in 2020. This market is led by the US, which is increasingly investing in AI systems to maintain its combat superiority and overcome the risk of potential threats on computer networks. The US plans to increase its spending on ai in the military to gain a competitive edge over other countries. The US economy mainly depends on innovations and technologies to give it an edge over others. Since its inception, the country has been a leader in upcoming technology adoption and applications. It accounts for around one-third of the global R&D spending and hosts around one-third of the world’s engineers and scientists. Both, the US and Canadian governments are also collaborating with private corporations for the development of new capabilities and technologies.
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