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Navigation Autonomy in Commercial Unmanned Systems Growth Opportunities

Navigation Autonomy in Commercial Unmanned Systems Growth Opportunities

Lowering Sensor Costs Drive Improvements in Autonomous Navigation Functions for Unmanned Platforms

RELEASE DATE
20-Mar-2023
REGION
Global
Deliverable Type
Market Research
Research Code: K880-01-00-00-00
SKU: AE01689-GL-MT_27504
AvailableYesPDF Download

$2,450.00

Special Price $2,082.50 save 15 %

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SKU
AE01689-GL-MT_27504

Navigation Autonomy in Commercial Unmanned Systems Growth Opportunities
Published on: 20-Mar-2023 | SKU: AE01689-GL-MT_27504

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Description

Artificial intelligence (AI) advancements are helping companies automate unmanned solutions designed for commercial tasks. While the adoption rate varies based on the domain the unmanned system operates, all unmanned solutions benefit from this development.

To enable autonomous navigation features in unmanned systems, OEMs must equip their products with various sensors that allow the robotic platform to perceive its surroundings and make decisions accordingly. Of the potential sensors, LiDAR technology is expected to register the highest growth because it is the most reliable technology for autonomous navigation. However, the high costs associated with LiDAR technology and negative public perception regarding the use of unmanned systems in public spaces could delay widespread adoption and limit regulatory changes that encourage end users to adopt unmanned platforms with autonomous navigation features.

Despite these developments, rising labor costs and improvements in AI algorithms are anticipated to drive end users to slowly transition toward newer, autonomous unmanned platforms that can carry out commercial tasks more safely and efficiently. Autonomous navigation features in unmanned platforms may also simplify the integration of unmanned solutions into existing workflows by removing the need for an experienced pilot.

Table of Contents

Why is it Increasingly Difficult to Grow?

The Strategic Imperative 8™

The Impact of the Top 3 Strategic Imperatives on Autonomous Navigation in Commercial Unmanned Systems

Growth Opportunities Fuel the Growth Pipeline Engine™

Research Scope

Overview, Trends, and Challenges

Different Levels of Navigation Autonomy for Unmanned Systems

Main Sensing Components Used for Autonomous Navigation in Unmanned Systems

Main Sensing Components Used for Autonomous Navigation in Unmanned Systems (continued)

Types of LiDAR Sensors

Forecast Global Market Size of Sensor Components for Unmanned Systems by Segment in 2027

Impact of Autonomous Navigation on Commercial Segments—Unmanned Ground Systems

Impact of Autonomous Navigation on Commercial Segments—Unmanned Aerial Systems

Impact of Autonomous Navigation on Commercial Segments— Unmanned Maritime Systems

Comparative Adoption Speed of Autonomous Navigation Features Across Unmanned System Segments

Adoption of LiDAR Technology for UGV/UAS and Automobiles

Representative Manufacturers of Sensing Components for Autonomous Navigation of Unmanned Systems

Representative Manufacturers of Global Navigation Satellite System (GNCC) Chipsets for Localization of Unmanned Systems

Key Companies Developing LiDAR Sensors for Unmanned Aerial Systems

Key Companies Developing LiDAR Sensors for Unmanned Ground Vehicles

Growth Drivers

Growth Restraints

Growth Opportunity 1: Autonomous Navigation for Unmanned Ground Vehicles for Last-mile Deliveries

Growth Opportunity 1: Autonomous Navigation for Unmanned Ground Vehicles for Last-mile Deliveries (continued)

Growth Opportunity 2: LiDAR Sensors for Autonomous Navigation Features in Unmanned Platforms

Growth Opportunity 2: LiDAR Sensors for Autonomous Navigation Features in Unmanned Platforms (continued)

Growth Opportunity 3: Autonomous Navigation Features to Enable Widespread Automation of Infrastructure Inspections

Growth Opportunity 3: Autonomous Navigation Features to Enable Widespread Automation of Infrastructure Inspections (continued)

Key Conclusions

List of Exhibits

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Artificial intelligence (AI) advancements are helping companies automate unmanned solutions designed for commercial tasks. While the adoption rate varies based on the domain the unmanned system operates, all unmanned solutions benefit from this development. To enable autonomous navigation features in unmanned systems, OEMs must equip their products with various sensors that allow the robotic platform to perceive its surroundings and make decisions accordingly. Of the potential sensors, LiDAR technology is expected to register the highest growth because it is the most reliable technology for autonomous navigation. However, the high costs associated with LiDAR technology and negative public perception regarding the use of unmanned systems in public spaces could delay widespread adoption and limit regulatory changes that encourage end users to adopt unmanned platforms with autonomous navigation features. Despite these developments, rising labor costs and improvements in AI algorithms are anticipated to drive end users to slowly transition toward newer, autonomous unmanned platforms that can carry out commercial tasks more safely and efficiently. Autonomous navigation features in unmanned platforms may also simplify the integration of unmanned solutions into existing workflows by removing the need for an experienced pilot.
More Information
Deliverable Type Market Research
Author Juan Perl
Industries Aerospace, Defence and Security
No Index No
Is Prebook No
Keyword 1 Commercial Unmanned Systems
Keyword 2 Autonomous Navigation Market
Keyword 3 Artificial intelligence (AI) advancements
Podcast No
WIP Number K880-01-00-00-00