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The Edge Computing in Transportation Market research report 2023-2030 delivers a close watch on leading competitors with strategic analysis, micro and macro market trends and scenarios, pricing analysis, and a holistic overview of the market situations in the forecast period. Edge Computing in the Transportation market is a critical component of the transportation and logistics sector, involving the deployment of edge computing technologies at the edge of networks to process data and enable real-time decision-making within transportation systems. Edge computing optimizes data processing, storage, and analysis closer to the data source, reducing latency and enhancing the efficiency of transportation operations. This market is essential for various modes of transportation, including road, rail, air, and maritime, as it enables applications such as autonomous vehicles, traffic management, predictive maintenance, and safety monitoring. The adoption of edge computing in transportation is on the rise, driven by the need for faster, more reliable, and secure data processing in a sector that increasingly relies on connectivity and automation.
The global Edge Computing in Transportation Market is expected to grow at a CAGR of 15.34% from 2023 to 2030. Industry indicates steady expansion, driven by the growing demand for data-driven insights and decision-making across diverse sectors.
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Some of the key players profiled in the study are:
Cisco, Microsoft, IBM, Amazon Web Services, Dell Technologies, HPE, Huawei, Nokia, ADLINK, Litmus Automation, FogHorn Systems, and Others.
Growing Trends in the Edge Computing in Transportation Market:
Several key trends are shaping the growth of the Edge Computing in Transportation market. Firstly, there is a growing focus on enhancing safety and security within transportation systems. Edge computing enables real-time video analytics, which can be used for tasks like driver monitoring, traffic surveillance, and accident prevention. The adoption of 5G and the Internet of Things (IoT) is driving the growth of edge computing, allowing for increased connectivity and data-sharing among vehicles and infrastructure. The deployment of edge AI (Artificial Intelligence) and machine learning is becoming more prevalent, enabling applications like predictive maintenance, route optimization, and anomaly detection in transportation. The trend of autonomous and connected vehicles is accelerating, necessitating edge computing capabilities for real-time decision-making in self-driving cars and smart traffic management systems. Moreover, the emphasis on sustainability and reducing carbon emissions is driving the adoption of edge computing in transportation to optimize energy consumption and reduce environmental impact.
Market Segmentation & Scope
The most important types of Edge Computing in Transportation Markets covered in this report are:
The Most important Applications of the Edge Computing in Transportation Market covered in this report are:
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Regional Insights
The Edge Computing in Transportation market displays regional variations in terms of adoption and demand. In North America, the United States and Canada have well-established markets for edge computing in transportation, with a focus on connected vehicles, traffic management, and logistics optimization. Europe, particularly countries like Germany and the UK, is experiencing significant growth in this market, driven by smart transportation initiatives and the development of autonomous vehicles. Asia-Pacific, including countries like China and Japan, is witnessing rapid adoption, especially in smart city projects and the expansion of transportation infrastructure. The Middle East and North Africa are showing increased interest, particularly in smart transportation solutions for urban centers. Latin America is in the early stages of adoption but holds potential for growth as transportation networks expand and modernize. Africa is gradually exploring the benefits of edge computing in transportation, particularly in regions with growing urbanization and transport infrastructure development. The global Edge Computing in Transportation market is expected to continue expanding as transportation systems become more connected, automated, and data-driven, requiring efficient and real-time processing solutions.
Geographically, this report is segmented into several key Regions, with production, consumption, revenue (million USD), and market share and growth rate of the Edge Computing in Transportation Market in these regions, from 2023 to 2030 (forecast), covering
North America, Europe, China, Japan, Southeast Asia, India, North America (USA, Canada, and Mexico) Europe (Germany, France, UK, Russia, and Italy) Asia-Pacific (China, Japan, Korea, India, and Southeast Asia) South America (Brazil, Argentina, Columbia, etc.), Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, and South Africa).
Main Objective of the Report
An increased focus on customer satisfaction and experience surveys will be beneficial for users to opt for market research services. As competition grows, businesses are compelled to come up with innovative tactics to keep and draw in clients. To provide high-quality products or services, many organizations continuously solicit customer input to attain this goal. Market research services for the Edge Computing in Transportation market are expected to rise between 2023 and 2030 as a result of firms placing a greater emphasis on consumer satisfaction with their products and services.
The key points of the report:
– The report provides a basic overview of the industry including its definition, applications, and manufacturing technology.
– The report explores the global major industry players in detail. In this part, the report presents the company profile, product specifications, capacity, production value, and 2017-2021 market shares for each company.
– Through statistical analysis, the report depicts the global total market of the Edge Computing in Transportation market including capacity, production, production value, cost/profit, supply/demand, and import/export.
– The total market is further divided by company, by country, and by application/type for the competitive landscape analysis.
– The report then estimates the 2023-2030 market development trends of the Edge Computing in Transportation Market. Analysis of upstream raw materials, downstream demand, and current market dynamics is also carried out.
– The report makes some important proposals for a new project in the Edge Computing in Transportation market before evaluating its feasibility.
Strategic Points Covered in Table of Contents of Edge Computing in Transportation Market:
1 Report Business Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.3 Market by Application
1.4 Study Objectives
1.5 Years Considered
2 Global Growth Trends
2.1 Global Edge Computing in Transportation Market Perspective
2.2 Growth Trends by Region
2.3 Market Dynamics
2.3.1 Industry Trends
2.3.2 Market Drivers
2.3.3 Market Challenges
2.3.4 Market Restraints
3 Competition Landscape by Key Players
3.1 Global Edge Computing in Transportation Sales by Manufacturers (2017-2023)
3.2 Global Edge Computing in Transportation Revenue Market Share by Manufacturers (2017-2023)
3.3 Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.4 Global Edge Computing in Transportation Average Price by Manufacturers (2017-2023)
3.5 Manufacturers Edge Computing in Transportation Sales Sites, Area Served, Product Type
3.6 Market Competitive Situation and Trends
3.6.1 Market Concentration Rate
3.6.2 Global 5 and 10 Largest Edge Computing in Transportation Players Market Share by Revenue
3.6.3 Mergers & Acquisitions, Expansion
4 Edge Computing in Transportation Market Breakdown Data by Type
4.1 Global Historic Market Size by Type
4.2 Global Forecasted Market Size by Type
5 Edge Computing in Transportation Market Breakdown Data by Application
5.1 Global Historic Market Size by Application
5.2 Global Forecasted Market Size by Application
6 North America
6.1 North America Market Size
6.2 North America Market Size by Type
6.3 North America Market Size by Application
6.4 North America Market Size by Country
7 Europe
7.1 Europe Market Size
7.2 Europe Market Size by Type
7.3 Europe Market Size by Application
7.4 Europe Market Size by Country
8 Asia-Pacific
9 Latin America
10 Middle East and Africa
11 Key Players Profiles
12 Analyst’s Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Author Details
13.3 Disclaimer
Customization of the Report: This report can be customized as per your needs for additional data for up to 5 companies or 5 countries or nearly 40 analyst hours.
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