United States Edge Computing in Industrial Automation Market was valued at USD 1.8 Billion in 2022 and is projected to reach USD 4.6 Billion by 2030, growing at a CAGR of 12.4% from 2024 to 2030.
The US edge computing market in industrial automation has been rapidly growing, transforming how industries handle and process data in real-time. As automation technology advances, the integration of edge computing has become crucial in achieving high efficiency, low latency, and seamless data processing. With the emergence of IoT devices and the demand for faster decision-making processes, industries across the US are increasingly adopting edge computing to streamline operations, enhance productivity, and reduce downtime.
One of the driving forces behind the adoption of edge computing in industrial automation is its ability to handle vast amounts of data at the source, minimizing the need for data transfer to centralized cloud systems. This localized data processing significantly reduces latency, enabling real-time monitoring and control, which is critical for applications like predictive maintenance and quality assurance. Additionally, the scalability and flexibility of edge computing make it a perfect fit for industries such as manufacturing, oil & gas, and energy, where maintaining constant uptime is essential.
According to recent reports, the market for edge computing in industrial automation in the US is expected to reach significant milestones in the coming years. Analysts predict that the implementation of edge devices will continue to accelerate, with more businesses leveraging the benefits of artificial intelligence (AI) and machine learning (ML) to optimize processes. Edge computing also empowers industrial operators to perform sophisticated analytics without relying on external data centers, making it an essential tool for companies looking to remain competitive in the modern market.
Beyond improved speed and efficiency, edge computing in industrial automation offers a more secure environment. As industries become increasingly reliant on digital technologies, cybersecurity concerns are heightened. Edge computing mitigates these risks by processing data closer to the source, making it less susceptible to cyberattacks compared to traditional cloud-based systems. Furthermore, edge computing ensures that sensitive data remains within the local network, enhancing data privacy.
In the rapidly evolving industrial landscape, where quick decisions and constant innovation are key, the integration of edge computing is becoming indispensable. As companies seek to enhance operational performance, the role of edge computing will continue to expand, paving the way for more intelligent, data-driven industrial processes.
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Ericsson
Exor International S.p.A.
Amazon Web Services
Microsoft
Alibaba Cloud
ObjectBox Limited
Schneider Electric
FogHorn
IOTech
RAD Group
ADLINK
Advantech Co Ltd
By the year 2030, the scale for growth in the market research industry is reported to be above 120 billion which further indicates its projected compound annual growth rate (CAGR), of more than 5.8% from 2023 to 2030. There have also been disruptions in the industry due to advancements in machine learning, artificial intelligence and data analytics There is predictive analysis and real time information about consumers which such technologies provide to the companies enabling them to make better and precise decisions. The Asia-Pacific region is expected to be a key driver of growth, accounting for more than 35% of total revenue growth. In addition, new innovative techniques such as mobile surveys, social listening, and online panels, which emphasize speed, precision, and customization, are also transforming this particular sector.
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Growing demand for below applications around the world has had a direct impact on the growth of the US Edge Computing in Industrial Automation Market
On-Premises Deployment
Cloud-Based Deployment
Hybrid Deployment
Edge Devices
Edge Servers
Edge Analytics Software
Networking Equipment
Predictive Maintenance
Real-Time Data Processing
Remote Monitoring
Autonomous Operations
Manufacturing
Energy and Utilities
Transportation and Logistics
Healthcare
Aerospace and Defense
Wi-Fi
LPWAN (Low Power Wide Area Network)
5G
Bluetooth
Wired
US (United States, US and Mexico)
Europe (Germany, UK, France, Italy, Russia, Turkey, etc.)
Asia-Pacific (China, Japan, Korea, India, Australia, Indonesia, Thailand, Philippines, Malaysia and Vietnam)
South America (Brazil, Argentina, Columbia, etc.)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
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1. Introduction of the US Edge Computing in Industrial Automation Market
Overview of the Market
Scope of Report
Assumptions
2. Executive Summary
3. Research Methodology of Verified Market Reports
Data Mining
Validation
Primary Interviews
List of Data Sources
4. US Edge Computing in Industrial Automation Market Outlook
Overview
Market Dynamics
Drivers
Restraints
Opportunities
Porters Five Force Model
Value Chain Analysis
5. US Edge Computing in Industrial Automation Market, By Type
6. US Edge Computing in Industrial Automation Market, By Application
7. US Edge Computing in Industrial Automation Market, By Geography
US
Europe
Asia Pacific
Rest of the World
8. US Edge Computing in Industrial Automation Market Competitive Landscape
Overview
Company Market Ranking
Key Development Strategies
9. Company Profiles
10. Appendix
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