Edge Computing Statistics By Market And Trend (2026)

Introduction

Edge Computing Statistics: Edge computing brings data processing closer to the source, improving data management. Instead of sending all data to remote cloud servers, it works near devices such as sensors, phones, and machines. This makes systems faster, reduces delay, and saves internet bandwidth.

Edge computing is particularly useful for real-time tasks such as autonomous driving, smart cities, and health monitoring. As more devices connect to the internet, edge computing helps deliver quick, reliable, and secure digital services.

Editor’s Choice

• The global edge computing market size is expected to reach around USD 82 billion by 2026.
• In the United States, the Edge Computing market is estimated to reach USD 217.06 billion.
• In 2025, North America holds the largest share of the edge computing market at 35%, with projected revenue of approximately USD 94.3 billion.
• By segment, the server segment accounted for more than 45.5% of total revenue in 2025.
• In the same period, the edge sensors and routers segment accounted for around 25% of total revenue.
• The energy and industrial sectors accounted for over 18.6% of total revenue.
• The Industrial Internet of Things (IIoT) application segment held more than 33% of total revenue.
• The Edge AI market reached USD 25.65 billion in 2025 and is projected to reach USD 143.06 billion by 2034.
• Network design, deployment, and maintenance account for the largest share of edge computing investment at 29.8%.
• By 2026, the number of commercial edge-enabled IoT devices is expected to reach approximately 4,893 million, reflecting strong adoption.
• In 2025, the top 7 edge computing companies, like AWS, HPE, Microsoft, Cisco, Dell, NVIDIA, and Intel, collectively accounted for 37% of the global market.

Key Takeaways

• According to Market.us, 97% of online gamers experience latency, meaning delays are common during online gaming sessions and negatively affect gameplay quality.
• China is projected to account for 26% of global network edge sites by 2026, playing a major role in the development of edge computing.
• The total number of network edge data centres worldwide is estimated to reach nearly 1,200 by 2026.
• Telecommunication companies are expected to invest approximately USD 11.6 billion per year by 2027 to support the growth of edge computing and related network technologies.
• Using edge computing can reduce latency by up to 90%, thereby significantly improving data processing speed and enhancing the overall user experience.
• In 2024, almost 50% of new infrastructure deployments were located at the edge, compared with less than 10% today.
• Energy and utility companies can significantly benefit from edge computing, as it can reduce data processing costs by up to 70% through localised data handling and improved efficiency.
• Currently, more than 15 billion edge devices are deployed worldwide.
• By 2030, 88% of global edge computing revenue is expected to come from North America, Europe, and East Asia.

(Source: digi.com)

• By 2029, 60% of edge computing deployments are expected to include generative AI as a key feature.
• The average cost of a data breach is projected to reach USD 4.88 million in 2024, up 10% from the previous year.
• The edge computing market is expected to grow to USD 169.3 billion by 2031. This growth represents a 37.4% CAGR.
• Edge computing revenues are projected to reach USD 29 billion by 2031.
• Worldwide adoption of 5G technology is projected to reach 1.87 trillion connections by 2030.

Edge Computing Market Size

(Source: shortpixel.ai)

• The global edge computing market is expected to reach approximately USD 82 billion by 2026 and USD 206 billion by the end of 2032.
• The overall market is projected to grow at a CAGR of 18.3% from 2023 to 2032.

(Source: precedenceresearch.com)

• In the United States, the Edge Computing market is estimated to reach USD 217.06 billion by 2026.
• Moreover, by 2035, the market size is expected to reach USD 1,742.50 billion, with an annual growth rate of 26.48% from 2026 to 2035.

By Components

• According to Market.us Scoop, by 2026, the hardware segment will generate around USD 37 billion, making it the largest share.
• Meanwhile, the software sector will contribute approximately USD 22 billion, and the services segment will contribute USD 21 billion.

By Region

(Reference: market.us)

• In 2025, North America holds the largest share of the edge computing market at 35%, with projected revenue of approximately USD 94.3 billion.
• Europe accounted for 28% of the global edge computing market, generating approximately USD 82.5 billion in revenue.
• The Asia-Pacific region also accounts for 28% of the market, with revenue of approximately USD 91.5 billion.
• The rest of the world accounts for a smaller share, at 9%, with USD 23.4 billion in revenue.

Application-Wise Edge Computing Market Share

(Reference: scoop.market.us)

• As of 2025, Industrial Internet of Things (IIoT) accounted for the largest share of applications in the global Edge Computing market, at 30%.
• Additionally, smart cities account for 23% of the market, followed by content delivery (17%), remote monitoring (15%), AR and VR (11%), and other applications (4%).

By Industry-Specific

• According to Mordor Intelligence, the Industrial Edge Computing segment alone is estimated to reach about USD 61.67 billion in 2026.
• In the healthcare sector, edge computing revenue is expected to be around USD 9.71 billion.

Leading Companies

• A report from ESSFeed states that Microsoft leads in edge computing, controlling around 20–25% of the cloud market.
• Google Cloud has roughly 9 % market share and is expanding its edge offerings, such as Anthos and edge AI tools, to support distributed computing.
• IBM’s Edge Application Manager drives edge adoption across enterprises, with a projected 25% growth in edge-related revenue in 2025.
• Dell’s edge hardware and software solutions generated around USD 5 billion in revenue by 2025.
• HPE’s industrial edge business is growing rapidly, with a forecasted 25 % revenue growth from edge solutions.

Edge AI Statistics

• A report published by All About AI further stated that the Edge AI market reached USD 25.65 billion in 2025 and is expected to grow to USD 143.06 billion by 2034.
• There were around 150 billion intelligent edge devices in use worldwide.
• Approximately 70% of new Internet of Things (IoT) devices are powered by AI chips from companies such as Intel and Qualcomm.
• The IT and telecom sectors are leading with 21.1% adoption.
• Healthcare shows very high adoption, with 90% of organisations implementing Edge AI.
• Manufacturing companies report a 40% reduction in downtime due to Edge AI technologies.
• The United States invested around USD 470.9 billion in AI in 2025.
• Meanwhile, China dominates in patents, holding 61.1% of global Edge AI patent grants.
• In the United States, 97% of Chief Information Officers (CIOs) have included Edge AI in their 2025-2026 technology roadmaps.
• Additionally, 90% of enterprises are increasing their budgets to support Edge AI initiatives.
• Over 50% of new AI models run directly on edge devices in 2025.
• This has helped organisations save 30-40% on energy costs and reduce latency to under 10 milliseconds.
• In 2025, 78,000 AI-related patents are expected to be filed.
• China will file approximately 70% of these patents, while the United States will lead in commercialising the technology.
• A survey of over 49,000 developers shows that 84% use AI every day.
• Despite this, 46% of developers report that they do not fully trust AI outputs, highlighting a trust paradox in the field.

Edge-Enabled IoT Device Growth

• According to VPNRanks, in 2025, approximately 4,342 million commercial edge-enabled IoT devices were deployed globally.
• In the same year, enterprise edge-enabled IoT devices totalled about 815 million, bringing the total to 5,157 million devices.
• By 2026, the number of commercial edge-enabled IoT devices is expected to reach approximately 4,893 million, reflecting strong adoption.
• Enterprise edge-enabled IoT devices are projected to reach 921 million, bringing the total worldwide to 5,814 million.
• This represents a 13% increase in total edge-enabled IoT devices from 2025 to 2026.

Edge Data Centre Market Statistics

(Source: market.us)

• In 2025, the edge computing market generated USD 15.3 billion in revenue as businesses and industries invested heavily in edge infrastructure.
• By 2026, revenue is expected to reach approximately USD 18.8 billion, reflecting strong growth in adoption.
• Looking ahead, the market is forecast to grow substantially, reaching USD 51.0 billion by 2032.
• Overall, the market is projected to expand at a compound annual growth rate of 19.9 % from 2023 to 2032, driven by increasing demand for IoT, edge AI, and 5G solutions.

Edge Computing Product Launches

Edge Computing Use Cases

• Smart Homes: Process data locally from IoT devices such as Google Home.
• Fitness Trackers: Monitors heart rate and can alert EMTs in emergencies.
• Facial Recognition for Payment: Verifies identity and processes payments quickly.
• Fraud Detection: Detects unusual activity in real-time.
• Banking Apps: Real-time ATM monitoring and transaction checks

Advantages And Challenges

Technological Advancements In Edge Computing

• According to AIMultiple, new edge AI chips, such as Hailo‑8, deliver approximately 26 TOPS of computing power while consuming only 2.5-3 W of power.
• A report by Research Nester estimated that the edge AI hardware market is expected to reach approximately USD 32.8 billion in 2026, up from USD 27.9 billion in 2025. This segment is projected to grow at a 17.9% CAGR through 2035.
• Combining 5G with edge AI enables ultra-fast, low-latency connectivity.
• Advanced 5 G networks can reach speeds up to 10 Gbit/s and support 100 billion device connections, enhancing edge computing performance.
• New memory standards, such as LPDDR6, planned for 2026, improve energy efficiency, bandwidth, and reliability for edge AI devices and mobile platforms.
• Emerging technologies, such as phonon-based AI chips, could reduce AI energy use by up to 90 %, enabling ultra-low-power edge computing.

Key Areas of Investment

• The Market.us report further stated that network design, deployment, and maintenance account for the largest share of edge computing investment at 29.8%.
• Overall strategy and planning account for 23.4% of total investment.
• Security design, deployment, and maintenance represent 22% of the investment.
• Application design, deployment, and maintenance receive 21.7% of the total investment.
• Other investment areas account for a smaller share of 3.1%.

Working Process

• Step 1: Data is generated by devices such as sensors, machines, or user devices at the network edge.
• Step 2: This data is processed locally on nearby edge devices or edge servers rather than being sent to a central cloud.
• Step 3: Edge systems analyse and filter the data in real time to reduce latency.
• Step 4: Only critical or summarised data is transmitted to the cloud or data centre.
• Step 5: The cloud performs deeper analysis, storage, and long-term processing.
• Step 6: Results are sent back to edge devices for immediate action.

Conclusion

In conclusion, edge computing changes how data is handled by processing it closer to its source. This reduces latency, improves throughput, and lowers load on central servers. It is especially useful for technologies such as IoT, smart devices, healthcare, and autonomous systems that require rapid responses.

As technology grows, edge computing will become more important. When combined with cloud and AI, it will enable faster, smarter, and more reliable digital systems.

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