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Description
The global autonomous navigation software market is likely to register a CAGR of over 4.73% with an incremental growth of USD 1.0 billion during the forecast period 2023-2029. Autonomous navigation software refers to the software systems and algorithms used in vehicles and robots to operate and navigate without human intervention. It enables these vehicles to make decisions based on their surroundings and perform tasks such as route planning, obstacle detection and avoidance, and path optimization.
The increasing adoption of autonomous robots for commercial and military purposes drives the demand for autonomous navigation software. These robots are used in industries such as logistics, manufacturing, agriculture, and defense, where accurate and reliable navigation is essential.
The report covers market size and growth, segmentation, regional breakdowns, competitive landscape, trends and strategies for global autonomous navigation software market. It presents a quantitative analysis of the market to enable stakeholders to capitalize on the prevailing market opportunities. The report also identifies top segments for opportunities and strategies based on market trends and leading competitors' approaches.
Market Segmentation
Software technology: visual SLAM, LiDAR SLAM, neuromorphic chip, natural intelligence
Platform: autonomous vehicles, unmanned aerial vehicle (UAV), unmanned underwater vehicle (UUV), unmanned surface vehicle (USV), autonomous mobile robot (AMR), collaborative robot (Cobot), humanoid
Sector: commercial, military, civil government
Application: logistics and warehouse management, automated manufacturing, surveillance and inspection, agriculture, mobility, others
Region: Asia-Pacific, Europe, North America, RoW (Rest of World)
Surveillance and inspection by sector: terrestrial, aerial, maritime
This industry report offers market estimates and forecasts of the global market, followed by a detailed analysis of the software technology, platform, sector, application, and region. The global market for autonomous navigation software can be segmented by software technology: visual SLAM, LiDAR SLAM, neuromorphic chip, natural intelligence. According to the research, the visual SLAM segment had the largest share in the global autonomous navigation software market. Autonomous navigation software market is further segmented by platform: autonomous vehicles, unmanned aerial vehicle (UAV), unmanned underwater vehicle (UUV), unmanned surface vehicle (USV), autonomous mobile robot (AMR), collaborative robot (Cobot), humanoid. In 2022, the autonomous vehicles segment made up the largest share of revenue generated by the autonomous navigation software market. Based on sector, the autonomous navigation software market is segmented into: commercial, military, civil government. Among these, the commercial segment was accounted for the highest revenue generator in 2022. On the basis of application, the autonomous navigation software market also can be divided into: logistics and warehouse management, automated manufacturing, surveillance and inspection, agriculture, mobility, others. The mobility segment captured the largest share of the market in 2022. Autonomous navigation software market by region is categorized into: Asia-Pacific, Europe, North America, RoW (Rest of World). According to the research, North America had the largest share in the global autonomous navigation software market.
The surveillance and inspection by sector market is further segmented into terrestrial, aerial, maritime. The latest analysis indicates that the aerial segment occupied the largest share of this market in 2022 and is expected to draw the highest demand in coming years.
Major Companies and Competitive Landscape
The report also provides analysis of the key companies of the industry and their detailed company profiles including BrainChip Holdings Ltd., Intel Corporation, Luminar Technologies Inc., Magna International Inc., Mobileye Global Inc., Nvidia Corporation, Oceaneering International, Inc., Ouster, Inc., Teledyne Technologies Incorporated, Textron Inc., TuSimple Holdings, Inc., among others. In this report, key players and their strategies are thoroughly analyzed to understand the competitive outlook of the market.
Scope of the Report
To analyze and forecast the market size of the global autonomous navigation software market.
To classify and forecast the global autonomous navigation software market based on software technology, platform, sector, application, region.
To identify drivers and challenges for the global autonomous navigation software market.
To examine competitive developments such as mergers & acquisitions, agreements, collaborations and partnerships, etc., in the global autonomous navigation software market.
To identify and analyze the profile of leading players operating in the global autonomous navigation software market.
Why Choose This Report
Gain a reliable outlook of the global autonomous navigation software market forecasts from 2023 to 2029 across scenarios.
Identify growth segments for investment.
Stay ahead of competitors through company profiles and market data.
The market estimate for ease of analysis across scenarios in Excel format.
Strategy consulting and research support for three months.
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