Edge Computing in Industrial Automation Market Size & Share Analysis - Growth Trends & Forecast 2024 - 2031

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5 min read

The "Edge Computing in Industrial Automation market" report analyzes important operational and performance data so one may compare them to their own business, the businesses of their clients, or the companies of their rivals. And this report consists of 105 pages. The Edge Computing in Industrial Automation market is expected to grow annually by 13.3% (CAGR 2024 - 2031).

Edge Computing in Industrial Automation Market Overview and Report Coverage

Edge Computing in Industrial Automation is gaining significant traction in the market as companies look to optimize their operations and enhance real-time decision-making processes. The growth of Edge Computing in Industrial Automation is attributed to the increasing adoption of Industrial Internet of Things (IIoT) solutions, which require processing data closer to the source to reduce latency and improve efficiency. This trend is driven by a growing demand for automation, predictive maintenance, and remote monitoring capabilities in various industries such as manufacturing, oil and gas, utilities, and transportation. As per market research, the Edge Computing in Industrial Automation market is projected to witness substantial growth in the coming years due to the benefits it offers in terms of cost savings, scalability, and improved operational efficiency.

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Market Segmentation 2024 - 2031:

In terms of Product Type: Organization Data Calculation,Unstructured Data Computing, the Edge Computing in Industrial Automation market is segmented into:

  • Organization Data Calculation
  • Unstructured Data Computing

In terms of Product Application: Autonomous Driving,Logistics Warehousing,Industrial Manufacturing, the Edge Computing in Industrial Automation market is segmented into:

  • Autonomous Driving
  • Logistics Warehousing
  • Industrial Manufacturing

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The available Edge Computing in Industrial Automation Market Players are listed by region as follows:

North America:

  • United States
  • Canada

Europe:

  • Germany
  • France
  • U.K.
  • Italy
  • Russia

Asia-Pacific:

  • China
  • Japan
  • South Korea
  • India
  • Australia
  • China Taiwan
  • Indonesia
  • Thailand
  • Malaysia

Latin America:

  • Mexico
  • Brazil
  • Argentina Korea
  • Colombia

Middle East & Africa:

  • Turkey
  • Saudi
  • Arabia
  • UAE
  • Korea

The growth of edge computing in industrial automation is experiencing significant traction across various regions. North America, particularly the United States and Canada, along with Europe's key markets such as Germany, France, ., and Italy, are witnessing a surge in adoption due to the increasing demand for real-time data processing and analysis in industrial settings. In Asia-Pacific, countries like China, Japan, South Korea, and India are rapidly embracing edge computing technologies to enhance operational efficiency and productivity. Latin America, including Mexico, Brazil, and Argentina, and the Middle East & Africa regions like Turkey, Saudi Arabia, and UAE are also showing promising growth opportunities. Amongst these regions, North America and Europe are expected to dominate the edge computing market in industrial automation due to the presence of advanced infrastructure, technological advancements, and high adoption rates among industrial sectors.

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Leading Edge Computing in Industrial Automation Industry Participants

Edge Computing in Industrial Automation is revolutionizing the way manufacturing processes are managed and optimized. Ericsson, Exor International ., Amazon Web Services, Microsoft, Alibaba Cloud, ObjectBox Limited, Schneider Electric, FogHorn, IOTech, RAD Group, ADLINK, and Advantech Co Ltd are all key players in the market.

Market leaders such as Microsoft, Amazon Web Services, and Schneider Electric have the resources and expertise to develop innovative edge computing solutions that can drive growth in the Industrial Automation sector. New entrants like ObjectBox Limited and IOTech bring fresh perspectives and technologies to the market, driving competition and innovation.

These companies offer a range of edge computing solutions such as real-time data processing, predictive maintenance, remote monitoring, and automation, all of which can help companies improve efficiency, reduce downtime, and increase profitability in their Industrial Automation processes. By working together and investing in the latest technologies, these companies can continue to grow and expand the edge computing market in Industrial Automation.

  • Ericsson
  • Exor International S.p.A.
  • Amazon Web Services
  • Microsoft
  • Alibaba Cloud
  • ObjectBox Limited
  • Schneider Electric
  • FogHorn
  • IOTech
  • RAD Group
  • ADLINK
  • Advantech Co Ltd

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Market Trends Impacting the Edge Computing in Industrial Automation Market

- Adoption of 5G technology for faster and more reliable connectivity

- Integration of artificial intelligence and machine learning algorithms for predictive maintenance and analytics

- Increasing demand for edge computing solutions due to the rise in IoT devices in industrial settings

- Implementation of edge computing for real-time data processing and analysis

- Industry focus on cybersecurity measures to protect data at the edge

- Growing use of edge computing for remote monitoring and control of industrial processes

The Edge Computing in Industrial Automation market is expected to witness significant growth due to these trends, as companies seek to improve operational efficiency and leverage real-time data insights.

Edge Computing in Industrial Automation Market Dynamics ( Drivers, Restraints, Opportunity, Challenges)

The Edge Computing in Industrial Automation market is driven by the increasing adoption of IoT devices, which require real-time data processing and analysis. This technology offers lower latency, improved reliability, and reduced bandwidth usage. However, the market is restrained by concerns over data security and privacy. The opportunity lies in the growing demand for industrial automation solutions to enhance operational efficiency and productivity. Challenges include the complexity of implementing edge computing systems and the need for skilled IT professionals to manage and maintain these technologies effectively in industrial settings.

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