PUBLISHER: Grand View Research | PRODUCT CODE: 1554207
PUBLISHER: Grand View Research | PRODUCT CODE: 1554207
The global AI in aerospace and defense market size was valued at USD 22.45 billion in 2023 and is projected to grow at a CAGR of 9.8% from 2024 to 2030. AI-driven systems analyze data from various sources to optimize maintenance schedules, manage supply chains, and improve logistics. Predictive maintenance powered by AI reduces unexpected equipment failures and downtime by forecasting when components need service before they break down. Additionally, AI enhances decision-making processes by providing actionable insights through data analytics, leading to streamlined operations, reduced costs, and improved resource allocation.
AI advancements in surveillance and threat detection revolutionize aerospace and defense operations by processing and analyzing vast amounts of data from sensors, satellites, and other sources in real time. AI systems use machine learning algorithms to detect and identify potential threats with high accuracy, reducing false alarms and improving overall situational awareness. These systems can integrate data from diverse sources to provide comprehensive and timely intelligence, enabling more effective monitoring of borders, airspace, and strategic locations. Enhanced threat detection capabilities lead to quicker and more precise responses, improving national security and defense readiness while ensuring better protection of assets and personnel.
In aerospace and defense, AI-driven design tools and simulations are transforming the development and manufacturing processes. AI algorithms enhance the design phase by providing more accurate simulations and predictions, leading to innovative solutions and reduced design errors. AI-powered generative design tools can explore a broader range of design possibilities, optimizing for performance, weight, and cost. Additionally, Artificial Intelligence (AI) helps in creating detailed digital twins of systems, allowing for extensive virtual testing and validation before physical prototypes are built. This approach accelerates the innovation cycle, improves product reliability, and lowers production costs, contributing to more efficient and cost-effective development processes.
Global AI In Aerospace And Defense Market Report Segmentation
This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2018 to 2030. For this study, Grand View Research has segmented the global AI in aerospace & defense market report based on offering, deployment type, platform, technology, application, end use, and region.