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市场调查报告书
商品编码
1909944
视讯远端资讯处理价值炼和技术的策略分析Strategic Analysis of Video Telematics Value Chain and Technologies |
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人工智慧赋能的物联网设备与深度学习的整合有望推动视讯远端资讯处理解决方案的变革性成长。
由于能够减少车辆事故、有效保障驾驶员安全并提高投资收益率，视讯远端资讯处理解决方案预计将首先成为企业车队的标准配置。鑑于安全解决方案在长途运输行业中有着广泛的应用，重型和中型商用车辆很可能率先采用者视讯远端资讯处理技术。
竞争格局正因内部解决方案与合作伙伴解决方案的整合而发生变化，加速了支援车队管理、安全解决方案和合规服务的仪錶板的普及，所有这些服务都整合在一个平台上。
应用程式介面 (API)、人工智慧 (AI)、巨量资料分析和深度神经网路 (DNN) 等技术进步，使得智慧且适应性强的解决方案能够以可扩展的方式部署。生态系统伙伴关係进一步促进了整合经营模式的构建，从而简化了使用者互动、分析和决策流程。应用场景涵盖驾驶员、车辆和车队，包括高级驾驶辅助系统 (ADAS)、驾驶员状态监控、教练和绩效管理、随选影片服务等等。这些应用正透过基于全球驾驶资料训练的机器学习演算法不断发展演进。
本研究概述了视讯远端资讯处理工作流程、视讯远端资讯处理技术、领先的视讯远端资讯解决方案供应商以及更广泛的视讯远端资讯处理领域。
目录
战略问题
- 为什么经济成长变得越来越困难？
- The Strategic Imperative 8
- 三大战略挑战对视讯远端资讯处理价值炼与技术的影响
调查范围
- 调查范围
视讯远端资讯处理解决方案简介
- 视讯远端资讯处理解决方案简介
- 视讯远端资讯处理解决方案功能
- 视讯远端资讯处理解决方案功能
视讯远端资讯处理工作流程
- 视讯远端资讯处理解决方案工作流程
- 视讯远端资讯处理解决方案中的舞台门
- 视讯远端资讯处理解决方案的阶段式流程
- 视讯远端资讯处理解决方案的舞台门用例
- 视讯远端资讯处理解决方案中的资料流
- 边缘运算和云端运算
- 成长要素
- 成长抑制因素
视讯远端资讯处理技术
- 视讯远端资讯处理解决方案技术概述
- 数据收集
- 资料压缩
- 智慧压缩
- 资料保护
- 资料处理
视讯远端资讯处理供应商
- 商用车製造商
- 远端资讯处理服务供应商
- 视讯远端资讯处理供应商
- 独立视讯远端资讯处理能力基准测试（按供应商划分）
- 整合视讯远端资讯处理功能基准测试（按供应商划分）
视讯远端资讯处理技术展望
- 视讯远端资讯处理领域的调查方法
- 商用车OEM厂商展望
- 远端资讯处理服务供应商展望
- 视讯远端资讯处理提供者展望
结论
- 结论与未来展望
成长机会领域
- 成长机会1：人工智慧整合摄影机即将成为主流产品
- 成长机会 2：更智慧的 AI 压缩技术可降低车队总拥有成本 (TCO)
- 成长机会 3：区块链技术将驱动未来的 AIoT 应用
附录
- 简称和首字母缩略词
未来发展
- 成长机会带来的益处和影响
- 下一步
- 附件清单
- 免责声明
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
