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The artificial intelligence in military market size is forecast to increase by USD 55.2 billion at a CAGR of 43.61% between 2023 and 2028.
The artificial intelligence (ai) in military industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in "USD billion" for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.
The market is experiencing significant growth, with the software segment expected to expand at the fastest rate. Defense organizations are increasingly adopting AI software solutions to strengthen their IT infrastructure and improve cybersecurity. With heightened concerns over data privacy and compliance, military forces are investing in advanced AI tools to detect, prevent, and mitigate cyber threats. Machine learning, virtual assistants, and voice recognition are among the AI technologies utilized in military applications. Defense agencies, technology companies, and research institutions are collaborating to develop next-generation warfare systems, incorporating AI and machine learning for situational awareness, proactive defense measures, and agile decision-making.
Ethical considerations and responsible AI practices are crucial In the military industry, as AI systems are integrated into autonomous vehicles, surveillance drones, decision support systems, and operational efficiency enhancements. The market outlook includes advancements in hardware, such as AI processors and memory, as well as the integration of cognitive electronic warfare, threat detection, anomaly detection, and predictive analysis. Defense contractors and private companies are investing in technological infrastructure to develop AI programs for military data processing, encrypted communication, and warfare platforms. The industry is also exploring the potential of quantum computing and AI for logistics and transportation, simulation and training, command and control, battlefield healthcare, and information processing.
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The Software segment was valued at USD 2.27 billion in 2018 and showed a gradual increase during the forecast period.
Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.
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The global military market for Artificial Intelligence (AI) is witnessing significant growth, with North America leading the way in 2023 due to the increasing adoption of IoT, big data, and cloud-based services In the defense sector. The US, in particular, is at the forefront of implementing AI technologies for security and surveillance, driven by geopolitical tensions and the need to counteract various militant groups. Defense agencies, technology companies, and research institutions are investing in next-generation warfare systems, including AI-powered solutions for situational awareness, proactive defense measures, agile decision-making, and operational efficiency. AI applications include autonomous vehicles, surveillance drones, decision support systems, and cognitive electronic warfare for threat detection, anomaly detection, predictive analysis, and cybersecurity.
Ethical considerations and responsible AI practices are essential as the military sector continues to embrace this technology. The market outlook includes the hardware segment, featuring AI processors, memory, and AI and ML technologies, as well as warfare platforms, logistics and transportation, and simulation and training. Key players include defense contractors, technology companies, and research institutions. The industry faces challenges such as cybercrime, theft, hacking, data destruction, and the need for protocols and standards for private companies and international conflicts. The future of AI In the military sector includes the development of quantum computing and AI programs for military data processing and encrypted communication, as well as autonomous war vehicles and robots, unmanned ground vehicles, and advanced computing systems for airborne, land, naval, and space applications.
Our researchers analyzed the data with 2023 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.
Increased government spending on defense due to conflicts is the key driver of the market.
Growing integration of AI in space-based systems is the upcoming market trend.
Shortage of AI experts is a key challenge affecting the industry growth.
The AI in military market forecasting report includes the adoption lifecycle of the market, covering from the innovator's stage to the laggard's stage. It focuses on adoption rates in different regions based on penetration. Furthermore, the artificial intelligence in military market report also includes key purchase criteria and drivers of price sensitivity to help companies evaluate and develop their market growth analysis strategies.
Customer Landscape
Companies are implementing various strategies, such as strategic alliances, artificial intelligence (ai) in military market forecast, partnerships, mergers and acquisitions, geographical expansion, and product/service launches, to enhance their presence In the industry.
The industry research and growth report includes detailed analyses of the competitive landscape of the market and information about key companies, including:
Qualitative and quantitative analysis of companies has been conducted to help clients understand the wider business environment as well as the strengths and weaknesses of key industry players. Data is qualitatively analyzed to categorize companies as pure play, category-focused, industry-focused, and diversified; it is quantitatively analyzed to categorize companies as dominant, leading, strong, tentative, and weak.
Artificial Intelligence (AI) is revolutionizing the military sector as defense strategies evolve to counteract the increasing complexities of evolving threats. The integration of AI in military applications is transforming various aspects of defense infrastructure, from situational awareness and proactive defense measures to agile decision-making and operational efficiency. The military sector is grappling with a myriad of security concerns, including cybercrime, hacking, data destruction, and other forms of cyberattacks. AI-powered solutions are emerging as crucial components of defense agencies' technological infrastructure, enabling threat detection, anomaly detection, predictive analysis, and other advanced capabilities. As geopolitical tensions escalate, next-generation warfare systems are being developed to maintain a competitive edge.
AI and machine learning (ML) are at the heart of these systems, with cognitive electronic warfare and quantum computing playing pivotal roles. Quantum processors, an advanced form of computing, offer significant advantages over binary-based classical computing, particularly in handling large and complex data sets. Defense forces are increasingly relying on AI programs to process military data, ensuring encrypted communication, and enhancing warfare platforms' capabilities. Hardware and software components are being upgraded to accommodate the demands of AI systems, with a focus on advanced computing, learning and intelligence, and information processing. Autonomous vehicles, such as unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs), are being employed for various military applications, including reconnaissance, transportation, and logistics.
Autonomous war robots and autonomous war vehicles are also being explored for their potential in reducing human casualties and increasing operational efficiency. The industry outlook for AI In the military sector is promising, with significant investments being made by both defense agencies and technology companies, as well as research institutions. Ethical considerations and responsible AI practices are becoming increasingly important, as the military sector navigates the challenges and opportunities presented by AI and ML. The hardware segment of AI In the military sector is witnessing significant growth, with a focus on AI processors, memory, and other components that can support the demands of AI and ML applications.
Warfare systems, logistics and transportation, simulation and training, command and control, battlefield healthcare, and information processing are some of the key areas where AI is being employed to enhance military capabilities. In conclusion, AI is playing a transformative role In the military sector, enabling defense agencies to respond to evolving threats and maintain a competitive edge In the face of geopolitical tensions. The integration of AI and ML in various military applications is driving innovation and operational efficiency, while also presenting ethical considerations that must be addressed. The future of AI In the military sector is bright, with significant investments being made in advanced computing, learning and intelligence, and information processing.
Market Scope |
|
Report Coverage |
Details |
Page number |
165 |
Base year |
2023 |
Historic period |
2018-2022 |
Forecast period |
2024-2028 |
Growth momentum & CAGR |
Accelerate at a CAGR of 43.61% |
Market growth 2024-2028 |
USD 55.2 billion |
Market structure |
Fragmented |
YoY growth 2023-2024(%) |
31.53 |
Key countries |
US, China, Russia, UK, and Japan |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation by Component
7 Market Segmentation by Type
8 Customer Landscape
9 Geographic Landscape
10 Drivers, Challenges, and Opportunity/Restraints
11 Competitive Landscape
12 Competitive Analysis
13 Appendix
Research Framework
Technavio presents a detailed picture of the market by way of study, synthesis, and summation of data from multiple sources. The analysts have presented the various facets of the market with a particular focus on identifying the key industry influencers. The data thus presented is comprehensive, reliable, and the result of extensive research, both primary and secondary.
INFORMATION SOURCES
Primary sources
Secondary sources
DATA ANALYSIS
Data Synthesis
Data Validation
REPORT WRITING
Qualitative
Quantitative
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