비디오 텔레매틱스 밸류체인 및 기술에 관한 전략적 분석

Integration of AI-powered IoT Devices with Deep Learning is Poised to Accelerate Transformative Growth in Video Telematics Solutions

Video telematics solutions are poised to become the norm amongst enterprise fleets in the initial phase, owing to reduced vehicle claims, efficient driver exoneration, and higher realized return on investment. Medium and heavy-duty commercial vehicles for long-haul vehicle operations are primarily poised to be early adopters of video telematics, given the extensive applicable use cases of safety solutions in these industries.

The competitive ecosystem is shaped by integrated offerings that combine in-house and partner solutions. This convergence has accelerated the adoption of unified dashboards that support fleet management, safety solutions, and compliance services within a single platform.

Recent technological advances, including the widespread use of application programming interfaces (APIs), artificial intelligence (AI), big data analytics, and deep neural networks (DNNs), have enabled scalable deployment of intelligent and adaptive solutions. Ecosystem partnerships further facilitate integrated business models that streamline user engagement, analysis, and decision-making. Use cases extend across drivers, vehicles, and fleets, encompassing advanced driver-assistance systems, driver state monitoring, coaching and performance management, and video-on-demand services. These applications continuously evolve through machine learning algorithms trained on global driving data.

This study provides an overview of video telematics workflows, the technologies driving video telematics, and key providers of video telematics solutions, as well as a broader video telematics outlook.

Table of Contents

Strategic Imperatives

• Why Is It Increasingly Difficult to Grow?
• The Strategic Imperative 8
• The Impact of the Top 3 Strategic Imperatives on Video Telematics Value Chain and Technologies

Research Scope

• Research Scope

Introduction to Video Telematics Solutions

• Introduction to Video Telematics Solutions
• Features of Video Telematics Solutions
• Functionalities of Video Telematics Solutions

Video Telematics Workflow

• Workflows in Video Telematics Solutions
• Stage Gates in Video Telematics Solutions
• Stage Gates Process in Video Telematics Solutions
• Stage Gates Use Cases in Video Telematics Solutions
• Data Flow in Video Telematics Solutions
• Edge and Cloud Computing
• Growth Drivers
• Growth Restraints

Video Telematics Technology

• Technology Overview of Video Telematics Solutions
• Data Acquisition
• Data Compression
• Smart Compression
• Data Protection
• Data Processing

Video Telematics Providers

• Commercial Vehicle OEMs
• Telematics Service Providers
• Video Telematics Providers
• Standalone Video Telematics Feature Benchmarking by Provider
• Integrated Video Telematics Feature Benchmarking by Provider

Video Telematics Outlook

• Research Methodology for Video Telematics Outlook
• Commercial Vehicle OEM Outlook
• Telematics Service Provider Outlook
• Video Telematics Provider Outlook

Conclusions

• Conclusions and Future Outlook

Growth Opportunity Universe

• Growth Opportunity 1: AI-Integrated Cameras Poised for Mainstream Adoption
• Growth Opportunity 2: Smarter AI Compression Technologies to Drive Fleet TCO
• Growth Opportunity 3: Blockchain Technology to Drive Future AIoT Applications

Appendix

• Abbreviations and Acronyms

Next Steps

• Benefits and Impacts of Growth Opportunities
• Next Steps
• List of Exhibits
• Legal Disclaimer