Global Unmanned Ground Vehicles for Industrial Inspections Growth Opportunities

Global Unmanned Ground Vehicles for Industrial Inspections Growth Opportunities

Enhancements in Autonomy Help Reduce Costs and Propel Adoption

RELEASE DATE
03-Jun-2024
REGION
Global
Deliverable Type
Market Research
Research Code: KA49-01-00-00-00
SKU: AE_2024_779
AvailableYesPDF Download
$2,450.00
In stock
SKU
AE_2024_779

Global Unmanned Ground Vehicles for Industrial Inspections Growth Opportunities
Published on: 03-Jun-2024 | SKU: AE_2024_779

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The purpose of this study is to highlight the increasing adoption of unmanned ground vehicles (UGVs) for industrial site inspections. Industrial sites encompass manufacturing facilities and storage locations. The inspection use case emphasized in this study refers to the collection of data related to the condition of both the building and the equipment at these locations.

Enhancements in artificial intelligence (AI) are helping enable autonomous inspections with unmanned systems, further reducing costs associated with inspector training and certifications. Additionally, the rising costs associated with Health, Safety, and Environment (HSE) compliance have led several businesses to opt for unmanned solutions as a cost-effective alternative. Despite the lack of awareness among many industry participants, the adoption of unmanned systems for industrial site inspections is expected to rise at a higher rate compared to those designed for maritime and aerial domains.

Why is it Increasingly Difficult to Grow?

The Strategic Imperative 8™

The Impact of the Top 3 Strategic Imperatives on the Global Unmanned Ground Vehicle Industrial Inspection Market

Growth Opportunities Fuel the Growth Pipeline Engine™

Research Scope

Unmanned Ground Vehicle Segmentation by Platform Type

Growth Metrics

Market Size of Unmanned Ground Vehicles for Industrial Inspections

Industrial Use Cases

Representative Manufacturers of Unmanned Ground Vehicles for Industrial Inspections

The 2021 Commercial Unmanned Ground Vehicle

Significant Partnerships

Significant Mergers and Acquisitions Activity

Key Companies Developing Unmanned Ground Vehicles for Industrial Inspections

Meeting United Nations Sustainable Development Goals

Growth Drivers

Growth Restraints

Key Takeaways

Growth Opportunity 1: Self-charging Stations for Autonomous Ground Vehicles

Growth Opportunity 1: Self-charging Stations for Autonomous Ground Vehicles (continued)

Growth Opportunity 2: AI-Driven Autonomous Industrial Inspection and Data Analysis

Growth Opportunity 2: AI-Driven Autonomous Industrial Inspection and Data Analysis (continued)

Growth Opportunity 3: Aerial-Ground Unmanned System Teaming Solutions

Growth Opportunity 3: Aerial-Ground Unmanned System Teaming Solutions (continued)

List of Exhibits

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The purpose of this study is to highlight the increasing adoption of unmanned ground vehicles (UGVs) for industrial site inspections. Industrial sites encompass manufacturing facilities and storage locations. The inspection use case emphasized in this study refers to the collection of data related to the condition of both the building and the equipment at these locations. Enhancements in artificial intelligence (AI) are helping enable autonomous inspections with unmanned systems, further reducing costs associated with inspector training and certifications. Additionally, the rising costs associated with Health, Safety, and Environment (HSE) compliance have led several businesses to opt for unmanned solutions as a cost-effective alternative. Despite the lack of awareness among many industry participants, the adoption of unmanned systems for industrial site inspections is expected to rise at a higher rate compared to those designed for maritime and aerial domains.
More Information
Deliverable Type Market Research
Author Juan Perl
Industries Aerospace, Defence and Security
No Index No
Is Prebook No
Keyword 1 Unmanned Ground Vehicles Growth
Keyword 2 Industrial Inspections Market Trends
Keyword 3 Technological Advancements UGVs
Podcast No
WIP Number KA49-01-00-00-00