Edge computing is changing the way data is processed, making things faster and more efficient. With industries relying on real-time insights, edge computing statistics show just how big this technology is becoming. The more we shift toward IoT and AI, the more edge computing takes center stage.
According to Statista, edge computing has become a big market and continues to grow at a rapid pace. The forecasted global revenue is set to reach $350 billion by 2027—that’s a massive jump! This growth is fueled by businesses needing quicker, smarter, and more secure data processing.
In this report, I’ve added stats related to edge computing and what makes it unique. You’ll find details on its impact, benefits, and why companies are investing in it. If you’re curious about how edge computing is shaping the future, you’re in the right place!
Edge Computing Statistics: Key Findings by VPNRanks
Past data has been analyzed to provide an overview of edge computing statistics and market trends for 2025. These insights highlight how the industry has evolved and what to expect in the coming years.
- 📈 By 2026, the edge computing market could reach $42.21 billion.
- 💡 The number of edge-enabled IoT devices in 2025 is expected to reach 5,157 million, and by 2026, it may grow further to 5,814 million.
- 🛡️ By the end of 2025, the global Edge AI market is expected to grow to 128.4% of its 2024 value.
Disclaimer: These figures are estimates provided by VPNRanks, based on historical data and current trends analyzed through predictive models. They represent potential future scenarios and should not be considered exact predictions. The actual outcomes may vary depending on various factors, including new interventions and changes in online behavior.
What is Edge Computing?
The need for faster computing with low latency is increasing with a rapidly growing number of connected devices. This demand is pushing computing closer to the “edge” of the network, enabling real-time processing for various applications.
The Linux Foundation refers to this shift as the “Third Act of the Internet”, where data storage and processing happen at the edge. This means smart devices like home assistants can process user requests locally instead of relying on remote servers.
The Powerful Trio: IoT, 5G, and Edge Computing
The rise of the Internet of Things (IoT) has created a need for localized network infrastructure to handle massive amounts of data efficiently. Traditional networks struggle to keep up, making edge computing essential for real-time processing and reduced latency.
According to VPNRanks, networked devices could reach approximately 35.39 billion by 2025, with broadband IoT (4G/5G) connections growing to around 1.93 billion. This rapid expansion, driven by 5G adoption and AI-optimized processors, will enhance data transfer efficiency and benefit the data brokerage industry by enabling faster, localized data processing.
Edge Computing Market Trends and Future Outlook
The edge computing market is expanding rapidly as industries adopt real-time data processing solutions. With continuous advancements in IoT, 5G, and AI, the future of edge computing looks promising and transformative.
Trend Analysis
According to Grand View Research, the edge computing market is experiencing significant growth, driven by increasing demand for low-latency processing. Key market insights include:
- The global edge computing market size was valued at $16.45 billion in 2023.
- Expected to grow at a CAGR of 36.9% from 2024 to 2030.
VPNRanks Predictions
Based on market trends, VPNRanks predicts strong growth in the edge computing market over the next few years. Below are the estimated figures:
Year | Predicted Market Size ($ Billion) |
---|---|
2025 | 30.83 |
2026 | 42.21 |
The predictions are based on the CAGR of 36.9%, applying year-over-year growth to the previous market size. This estimation reflects the rapid expansion driven by advancements in IoT, AI, and 5G technologies.
Edge Computing Expansion: Trends and Growth Insights
The demand for edge computing statistics is rising as industries adopt real-time data processing for faster and more efficient operations. With advancements in IoT, 5G, and AI, the edge computing market is experiencing rapid growth, reshaping digital infrastructure worldwide.
Application Insights: Edge Computing in Action
The Industrial Internet of Things (IIoT) dominated the edge computing market in 2023, enabling manufacturers to digitize operations. With a growing need for automation, edge computing has become essential in modern factories, improving efficiency and reducing latency.
The rise of Industry 4.0 is further accelerating edge adoption, creating a seamless bridge between cyber and physical systems. Smart factories use edge platforms to process data locally, reducing cloud dependency while enhancing AI-driven decision-making.
Component Insights: The Building Blocks of Edge Computing
In 2023, the hardware segment held over 43% of the revenue share in the edge computing market. As IoT and IIoT devices generate massive amounts of data, businesses are increasingly adopting edge computing gear to ease the load on cloud systems.
The demand for Edge Nodes/Gateways, Sensors, and Routers is rising due to the expansion of data centers. Edge routers play a crucial role in linking local and wide-area networks (WANs) while ensuring low-latency data processing.
Industry Insights: The Expanding Role of Edge Computing
The energy and utilities sector saw a significant revenue share in 2023, mainly driven by the growth of smart grids. Edge computing is helping modernize power distribution, enabling real-time consumption control and efficient renewable energy integration.
Environmental sustainability initiatives are pushing for advanced edge-powered solutions. With improved grid efficiency and microgrid support, the energy sector is increasingly adopting edge computing to optimize energy management.
Regional Insights: Edge Computing Market Trends Across the Globe
North America led the edge computing market in 2023, capturing nearly 40% of the revenue share. The integration of IIoT with edge computing is enabling manufacturers in the U.S. to embrace smart factories, while startups are driving innovation in edge-enabled solutions.
In Europe, the edge computing market is expanding rapidly, with industries like IT & Telecom, healthcare, and energy fueling demand. The growth of IoT and advanced internet infrastructure is pushing the region towards faster adoption of edge technologies across multiple industries.
U.S. Edge Computing Market Trends
The U.S. edge computing market is projected to grow at a CAGR of over 31% from 2024 to 2030, driven by major vendors like AWS, General Electric, and Hewlett Packard Enterprise.
These companies are actively innovating edge solutions to meet the rising demand for high-speed wireless communication. The need for low-latency computing in smart devices and telecom networks is further accelerating edge computing adoption in the country.
U.K. Edge Computing Market Trends
The U.K. edge computing market accounted for over 35% of Europe’s revenue share in 2023, driven by IoT adoption across sectors like manufacturing, healthcare, finance, and smart homes.
The demand for real-time processing is pushing businesses towards edge solutions, reducing reliance on centralized cloud networks. With the U.K. rapidly expanding its internet infrastructure, the market is set to witness substantial growth in the coming years.
Asia Pacific Edge Computing Market Trends
The Asia Pacific region is expected to grow at a CAGR of 43% from 2024 to 2030, fueled by 5G expansion, Industry 4.0, and IIoT adoption. Countries like India, China, and Japan are witnessing massive data generation from connected devices, necessitating robust edge computing infrastructure.
With major players like Google and Microsoft investing in edge cloud strategies, the region is set for unprecedented market expansion.
Middle East & Africa (MEA) Edge Computing Market Trends
The MEA region is projected to grow at a CAGR of over 37% from 2024 to 2030, driven by the adoption of smart city projects and IoT-based solutions. Government investments in internet infrastructure and the expansion of leading edge solution providers are fueling market growth.
In Saudi Arabia, increasing demand for low-latency edge processing is contributing to the expansion of real-time industrial applications.
Source: Grand View Research
Global Growth of Edge-Enabled IoT Devices
The number of edge-enabled IoT devices is rapidly increasing as industries adopt real-time data processing for smarter operations. With advancements in AI, 5G, and cloud computing, the demand for efficient, low-latency IoT solutions continues to grow worldwide.
Trend Analysis
According to Scoop.market, the number of edge-enabled IoT devices is growing significantly, with both commercial and enterprise sectors driving adoption. This increasing trend highlights the rising demand for real-time processing and low-latency computing in connected devices worldwide:
Year | Commercial Edge-Enabled IoT Devices | Enterprise Edge-Enabled IoT Devices | Total Devices (Millions) |
---|---|---|---|
2020 | 2,303 | 401 | 2,704 |
2021 | 2,629 | 473 | 3,102 |
2022 | 3,009 | 554 | 3,563 |
2023 | 3,419 | 638 | 4,057 |
2024 | 3,853 | 721 | 4,574 |
VPNRanks Predictions
Based on historical growth trends, VPNRanks predicts that the number of edge-enabled IoT devices will continue to rise significantly in the coming years. As businesses expand their edge computing infrastructure, adoption across industries will accelerate.
Year | Commercial Edge-Enabled IoT Devices | Enterprise Edge-Enabled IoT Devices | Total Devices (Millions) |
---|---|---|---|
2025 | 4,342 | 815 | 5,157 |
2026 | 4,893 | 921 | 5,814 |
The prediction is based on the growth rate from 2023 to 2024, applying it consistently to estimate future market expansion for both commercial and enterprise edge-enabled IoT devices.
Edge AI Market Worldwide: Expansion and Innovations
The global Edge AI market is rapidly expanding as industries integrate artificial intelligence with edge computing for real-time processing. With advancements in IoT, 5G, and AI-driven analytics, the demand for low-latency, intelligent edge solutions is increasing worldwide.
According to VPNRanks, by 2025, 16.5% of adults may have positive trust in AI, reflecting a gradual shift toward AI-powered decision-making. As Edge AI continues to evolve, improved efficiency, security, and real-time processing capabilities could further strengthen public confidence in AI-driven solutions.
Trend Analysis
According to SEO Sandwitch, the global Edge AI market is projected to witness substantial growth in the coming years. With increasing adoption across industries, Edge AI is set to revolutionize real-time data processing and automation.
- The global Edge AI market is expected to grow at a CAGR of 28.4% between 2024 and 2030.
- By 2030, AI-driven edge systems are anticipated to process 45% of all enterprise data.
VPNRanks Predictions
Based on market trends, VPNRanks predicts that the global Edge AI market will expand significantly, reaching 128.4% of its 2024 value by the end of 2025. This rapid growth is driven by increasing adoption in IoT, real-time analytics, and AI-powered edge computing.
The prediction is based on a CAGR of 28.4%, applying a yearly growth factor of 1.284 to the 2024 market size to estimate its value by the end of 2025.
Leading Edge Computing Companies Driving Innovation
The edge computing market is dominated by industry leaders driving innovation and shaping global adoption. These companies play a crucial role in developing cutting-edge solutions, expanding infrastructure, and setting new benchmarks for efficiency and security.
- ABB
- Amazon Web Services (AWS), Inc.
- Aricent, Inc.
- Atos
- Cisco Systems, Inc.
- General Electric Company
- Hewlett Packard Enterprise Development
- Honeywell International Inc.
- Huawei Technologies Co., Ltd.
- IBM Corporation
- Intel Corporation
- Microsoft Corporation
- Rockwell Automation, Inc.
- SAP SE
- Siemens AG
Recent Developments in Edge Computing
- May 2023: Dell Technologies introduced NativeEdge, a cutting-edge edge operations software platform. This solution is designed to streamline and enhance secure edge deployments for businesses, improving efficiency and optimization.
- April 2023: Nokia unveiled four third-party applications for MX Industry Edge (MXIE), enabling businesses to securely collect and analyze data from operational technology assets on-premises, boosting real-time decision-making.
- October 2022: Amazon Web Services (AWS) launched the Amazon Elastic Compute Cloud Trn1 instance, powered by AWS-built Trainium processors. These instances are optimized for high-performance machine learning model training, reducing training costs by up to 50% compared to GPU-based instances.
- August 2022: Belden introduced the Hirschmann OpEdge-8D device, designed to enhance Industrial Internet of Things (IIoT) connectivity. By leveraging edge computing, this device improves operational data utilization in large and complex industrial networks.
VPNRanks Podcast: Insights on Edge Computing Statistics
This podcast dives into the latest edge computing statistics, exploring its rapid growth and industry impact. Tune in to discover how IoT, AI, and 5G are shaping the future of real-time data processing and decentralized computing.
Edge Computing Statistics: What Experts Are Saying
In this section, I have included expert opinions on edge computing statistics to provide deeper insights into market trends. These perspectives highlight the evolving role of edge computing in shaping industries and driving technological advancements.
1. Ajay Hooda
Ajay Hooda highlights that edge computing is transforming data processing and storage by bringing computation closer to the source, reducing latency and improving real-time efficiency.
As industries adopt IoT, 5G, and AI-driven automation, edge computing is becoming a critical enabler for sectors like smart cities, healthcare, and manufacturing. Instead of replacing cloud computing, it works alongside it, addressing the limitations of centralized data processing.
He further emphasizes that trends like high-performance microcontrollers, virtualization, and hardware-based security are shaping the future of edge computing. Technologies such as NVIDIA’s Jetson AI chips, Lenovo’s TruScale HaaS model, and Intel’s SGX security solutions are driving faster, more secure processing at the edge.
With 5G and WiFi 6 advancements, industries can now achieve low-latency wireless communication, making edge computing a four-times bigger opportunity than today’s cloud market.
2. Charles Sellers
Charles Sellers highlights that edge computing and cloud computing will continue to coexist but evolve to serve distinct roles in the broader computing landscape. In the next decade, edge computing will become a standard feature in everyday devices, from smartphones and industrial machinery to autonomous vehicles, enabling real-time local data processing.
He further emphasizes that AI advancements, enhanced security protocols, and sustainability initiatives will shape the future of edge computing. Federated learning will improve AI models while preserving data privacy, and low-latency 5G networks will enable real-time applications like AR/VR, autonomous driving, and remote healthcare.
While cloud computing will remain crucial for large-scale data storage and analytics, edge computing will handle latency-sensitive tasks, creating a more efficient, resilient, and intelligent computing ecosystem.
3. Jeroen Overmaat
Jeroen Overmaat highlights that edge computing is becoming a dominant force in the digital landscape, set to surpass cloud computing in critical applications. By bringing data processing closer to its source, edge computing enables real-time decision-making and supports the growing demand for IoT, AI, and 5G-driven automation.
This shift enhances reliability and availability, ensuring businesses can operate without reliance on centralized cloud infrastructure, particularly in remote or connectivity-limited environments.
He further emphasizes that edge computing drives sustainability, optimizing energy efficiency by reducing data traffic to centralized data centers. By processing information locally, businesses can cut bandwidth costs, meet data sovereignty regulations, and increase operational resilience.
Edge computing is also powering innovative applications, from AR/VR in remote training to predictive maintenance in manufacturing, proving its essential role in digital transformation across industries.
Methodology Used by VPNRanks for Predicting Edge Computing Statistics
To ensure accuracy and reliability, VPNRanks follows a structured approach in predicting edge computing statistics based on market trends, historical data, and expert insights. This methodology helps provide a comprehensive outlook on the growth and adoption of edge computing across industries.
- 📊 Historical Data Analysis – VPNRanks analyzes past market trends to understand growth patterns in edge computing adoption and market size.
- 🔍 CAGR-Based Forecasting – Predictions are made using Compound Annual Growth Rate (CAGR) to estimate future expansion year-over-year.
- 🧠 Expert Opinions – Industry experts provide insights on edge computing adoption, innovation, and challenges.
- 📡 Technology Trends & Market Reports – Data is cross-referenced with reports from trusted sources such as SEO Sandwitch, Scoop.market, and IoT Analytics.
- 📈 Comparative Market Analysis – VPNRanks evaluates similar industries, such as cloud computing and AI, to predict how edge computing will evolve around them.
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FAQs
How popular is edge computing?
Edge computing is gaining immense popularity, with the U.S. market valued at $6.08 billion in 2023 and projected to grow at a CAGR of 31.2% from 2024 to 2030. This surge is driven by the increasing need for real-time data processing and analysis. Businesses are rapidly adopting edge computing to enhance decision-making, efficiency, and security.
What is the market size of edge computing?
The global edge computing market was valued at $11.24 billion in 2022 and reach $16.45 billion by 2023. This growth reflects the rising demand for real-time data processing and decentralized computing. The market is expected to expand further as industries adopt edge-driven solutions.
What is the performance of edge computing?
Edge computing enhances network performance by analyzing user traffic and selecting the most reliable, low-latency path. This optimization ensures faster data processing and improved connectivity. By reducing delays, edge computing provides a seamless and efficient user experience.
Is edge computing still relevant?
Yes, edge computing is still highly relevant, especially in the expanding field of spatial computing, including VR, AR, and XR. It enables real-time data processing on edge devices, ensuring seamless and immersive digital experiences. As these technologies evolve, edge computing remains essential for low-latency performance and efficiency.
Conclusion
Edge computing is rapidly transforming how industries process and analyze data, offering faster, more secure, and real-time computing solutions. As businesses integrate IoT, AI, and 5G, the shift toward decentralized processing is accelerating.
This evolution is helping industries like healthcare, manufacturing, and smart cities become more efficient and resilient. Market trends indicate that edge computing will experience exponential growth in the coming years. By 2026, the edge computing market could reach $42.21 billion, highlighting its increasing adoption across various sectors.
As technology advances, businesses must stay ahead by leveraging edge computing statistics to make informed decisions. With the continued expansion of IoT and AI, companies that adopt edge-driven solutions will benefit from enhanced security, efficiency, and scalability.