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Autonomous Military Aircraft Market 2024 : Trends, Business Growth And Major Driving Factors | The Boeing Company, Lockheed Martin Corporation, GE Aviation, Northrop Grumman Corporation
The Business Research Company's global market reports are now updated with the latest market sizing information for the year 2023 and forecasted to 2032The Business Research Company's Autonomous Military Aircraft Global Market Report 2023 identifies the Increasing government funding on defense equipment such as autonomous military aircraft to enhance the efficiency of military operations also boosts the demand for the market.
The autonomous military aircraft market size has grown strongly in recent years. It will grow from $5.96 billion in 2023 to $6.47 billion in 2024 at a compound annual growth rate (CAGR) of 8.7%. The growth in the historic period can be attributed to mission effectiveness, surveillance and reconnaissance, special operations, cost reduction. The autonomous military aircraft market size is expected to see strong growth in the next few years. It will grow to $7.97 billion in 2028 at a compound annual growth rate (CAGR) of 5.3%.
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Major companies operating in the autonomous military aircraft market include The Boeing Company, Lockheed Martin Corporation, GE Aviation, Northrop Grumman Corporation, BAE Systems PLC, Israel Aerospace Industries Ltd. (IAI), Elbit Systems Ltd., Dassault Aviation S.A., Denel Dynamics (Pty) Ltd., Airbus SE, United Technologies Corporation, General Dynamics Corporation, Raytheon Technologies Corporation, Safran S.A., Rolls-Royce Holdings PLC, China Aerospace Science and Technology Corporation, Kratos Defense & Security Solutions Inc., Textron Inc., Anduril Industries, Shield AI Inc., Thales Group, Cobham Limited, QinetiQ Group PLC, Endeavor Robotics (formerly known as iRobot Defense and Security), AeroVironment Inc., General Atomics Aeronautical Systems Inc., Aurora Flight Sciences a Boeing Company, Maxar Technologies, SpaceX (Space Exploration Technologies Corp.), The Aerospace Corporation
A key trend in the Autonomous Military Aircraft market includes the Major companies operating in the autonomous military aircraft market are focusing on the development of innovative products, such as autonomous drone swarms, to provide reliable services to customers. An autonomous drone swarm is a group of drones that can operate together without human intervention and communicate with each other and with their environment to coordinate their actions and achieve a common goal.
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The Autonomous Military Aircraft market is segmented -
1) By Type: Fighter Aircrafts, Bombers, Reconnaissance and Surveillance Aircrafts, Airborne Early Warning Aircrafts, Others
2) By Component: Flight Management Computers, Air Data Inertial Reference Units, Sensors, Actuation Systems, Software, Intelligent Servos, Cameras, Radars & Transponders, Propulsion Systems
3) By Technology: Remotely Operated, Semi-Autonomous, Autonomous
By Geography: Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. Asia-Pacific was the largest region in the Autonomous Military Aircraft market.
The Business Research Company's "Global Autonomous Military Aircraft Market Report 2023" provides a thorough understanding of the market across 60 geographies. The report covers market size, growth rate, segments, drivers and trends in every region and country. In addition, the report offers insights on historical and forecast growth, helping players analyze and strategize better.
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The Table Of Content For The Autonomous Military Aircraft Market Include:
1. Executive Summary
2. Autonomous Military Aircraft Market Characteristics
3. Autonomous Military Aircraft Market Trends And Strategies
4. Autonomous Military Aircraft Market - Macro Economic Scenario
5. Autonomous Military Aircraft Market Size And Growth
……
27. Autonomous Military Aircraft Market Competitive Landscape And Company Profiles
28. Key Mergers And Acquisitions In The Autonomous Military Aircraft Market
29. Autonomous Military Aircraft Market Future Outlook and Potential Analysis
30. Appendix
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