Air Segment to Dominate SAM Artificial Intelligence in Defense Market During 2021–2028       

According to a new market research study on “SAM Artificial Intelligence in Defense Market to 2028 – COVID-19 Impact and Regional Analysis and Forecast by Component, Technology, Platform, and Application,” is expected to reach US$ 197.30 million by 2028 from US$ 120.98 million in 2021. The market is estimated to grow at a CAGR of 7.2% from 2021 to 2028. The report provides trends prevailing in the SAM artificial intelligence in defense market along with the drivers and restraints pertaining to the market growth. Incorporation of quantum computing in artificial intelligence and growing development of robots using artificial intelligence are the major factor driving the growth of the SAM artificial intelligence in defense market. However, concerns over humanitarian protection hinders the growth of SAM artificial intelligence in defense market.       

In case of COVID-19, SAM is highly affected especially Brazil, followed by Ecuador, Chile, Peru, and Argentina, among others. The COVID-19 pandemic positively impacted the growth of the artificial intelligence in defense market in the SAM region as leading manufacturers continued to invest heavily in developing artificial intelligence capabilities, and governments invested significantly in securing these advanced systems. Governments have realized the potential of improved capabilities that these artificial intelligence systems could offer in terms of defense arsenal. However, despite the development of artificial intelligence technology, however, the artificial intelligence systems had seen a minor hit in the SAM region. This resulted from the shortage of raw materials due to disruptions in the supply chain in 2020. However, in 2021, with the relaxation of lockdown measures, the supply-chain industry resumed working smoothly with timely delivery of the raw materials of the artificial intelligence systems. Moreover, governments across the SAM region continue to invest significantly in securing advanced systems for the defense sector. Therefore, artificial intelligence in defense market in the region will grow significantly.

The SAM artificial intelligence in defense market is segmented based on component, technology, platform, application, and country. Based on component, the market is segmented into hardware, software, and services. The software segment dominated the market in 2020 and same segment is expected to be fastest growing during forecast period. Based on technology, the market is segmented into advanced computing, AI systems, and learning and intelligence. The advanced computing segment dominated the market in 2020 and same segment is expected to be fastest growing during forecast period.  Based on platform, the market is segmented into land, air, and naval. The air segment dominated the market in 2020 and naval segment is expected to be fastest growing during forecast period. Based on application, the market is segmented into cyber security, battlefield healthcare, logistics and transportation, warfare platform, and others. The warfare platform segment dominated the market in 2020 and cyber security segment is expected to be fastest growing during forecast period. Based on country, the market is segmented into Brazil and rest of SAM.  

BAE Systems plc.; General Dynamics Corporation; IBM Corporation; Lockheed Martin Corporation; Raytheon Technologies Corporation; SparkCognition, Inc.; and Thales Group are among the leading companies in the SAM artificial intelligence in defense market. The companies are focused on adopting organic growth strategies such as product launches and expansions to sustain their position in the dynamic market. For instance, in 2021, Lockheed Martin and NEC Corporation have signed a joint collaboration agreement to extend their partnership. Both the companies are also finalizing a licensing agreement with a multi-year option. For several years, Lockheed Martin and NEC have been working together to evaluate the effectiveness of SIAT for early production testing and operational scenarios. As a result, Lockheed Martin has integrated SIAT into the technology for telemetry analytics for Universal Artificial Intelligence (T-TAURI) AI service. This allows the organization to drive proactive anomaly detection during the design, development, production, and test phase of spacecraft development, even before applications in mission operations.

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