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Edge computing market seen reaching $232.5B by 2035

7 hours ago

The global edge computing market is projected to grow from $70.4 billion in 2026 to $232.5 billion by 2035, driven by IoT, 5G and AI adoption. The forecast underscores rising demand for low-latency processing across healthcare, manufacturing, transportation and smart city use cases. Why it matters: - Edge computing is moving data processing closer to where data is generated, which cuts latency and improves real-time decision-making. - The shift supports connected devices, autonomous systems, smart cities and industrial automation. - Enterprises are using edge infrastructure to reduce reliance on centralized cloud systems and improve operational efficiency. What happened: - Market Research Future projected the edge computing market will grow from $70.4 billion in 2026 to $232.5 billion by 2035. - The forecast implies a 15.1% compound annual growth rate from 2026 to 2035. - The market reached an estimated $61.2 billion in 2025. - The report was published June 18, 2026, from Ontario, New York, Canada. - A sample PDF is available here . - The full report is available here . The details: - IoT growth, 5G rollout and rising AI adoption are the main forces behind demand. - Real-time data processing needs are pushing companies toward decentralized computing architectures. - Edge deployment is expanding across healthcare, manufacturing, transportation and energy. - The competitive field includes Amazon Web Services, Microsoft, Google, IBM, Cisco, Hewlett Packard Enterprise, Dell Technologies, Huawei, Nokia and Intel. - Those companies are building edge platforms, hardware and software ecosystems. - Strategic collaboration with telecom providers and enterprises is accelerating market reach. - The market is segmented by component, deployment mode, application, end-user industry and organization size. - Hardware, software and services are the core component categories. - On-premises edge, cloud-integrated edge and hybrid edge are the main deployment modes. - Smart cities, industrial IoT, autonomous vehicles, AR/VR and remote monitoring are key applications. - Healthcare, manufacturing, IT and telecom, retail, energy and utilities, and transportation are major end-user sectors. - Large enterprises and small and medium-sized enterprises are the main organization-size segments. - Hardware remains a critical segment because of higher deployment of edge servers and gateways. - Software is growing quickly as AI and analytics are added. - Industrial IoT and smart manufacturing lead adoption because of real-time operational control and predictive maintenance. Between the lines: - The forecast points to edge computing becoming a core layer of digital infrastructure, not just a niche add-on. - The strongest near-term demand appears tied to industries that cannot tolerate latency or downtime. - Security, interoperability and cost remain the biggest friction points for wider deployment. - The report also signals that AI at the edge is becoming a major differentiator for vendors competing in the space. What’s next: - North America is expected to remain the largest regional market because of early technology adoption, major tech vendors and fast 5G deployment. - The United States is positioned as an innovation hub for AI-driven edge solutions and IoT integration. - Europe is seeing growth from smart manufacturing, automotive innovation and data privacy rules that favor localized processing. - Asia-Pacific is expected to post the fastest growth as industrialization, telecom buildout and government digital programs accelerate. - Latin America and the Middle East and Africa are adopting edge solutions more gradually, led by energy, telecom and smart city projects. - Emerging economies are likely to add new demand as digital infrastructure expands. The bottom line: - Edge computing is set for sustained expansion as 5G, IoT and AI push more processing to the network edge.

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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