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    Edge Computing In IoT Market

    ID: MRFR/ICT/39119-HCR
    128 Pages
    Aarti Dhapte
    October 2025

    Edge Computing in IoT Market Research Report: By Application (Smart Cities, Industrial IoT, Healthcare, Smart Grid, Connected Vehicles), By Deployment Type (On-Premises, Cloud-Based, Hybrid), By Component (Hardware, Software, Services), By End Use (Manufacturing, Energy and Utilities, Transportation and Logistics, Retail) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2035.

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    Edge Computing In IoT Market
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    Edge Computing In IoT Market Summary

    As per MRFR analysis, the Edge Computing in IoT Market Size was estimated at 6.065 USD Billion in 2024. The Edge Computing in IoT industry is projected to grow from 7.24 USD Billion in 2025 to 42.56 USD Billion by 2035, exhibiting a compound annual growth rate (CAGR) of 19.38 during the forecast period 2025 - 2035.

    Key Market Trends & Highlights

    The Edge Computing in IoT Market is poised for substantial growth driven by technological advancements and increasing demand for real-time data processing.

    • North America remains the largest market for edge computing in IoT, driven by robust technological infrastructure.
    • The Asia-Pacific region is emerging as the fastest-growing market, fueled by rapid urbanization and IoT adoption.
    • Smart Cities represent the largest segment, leveraging edge computing for enhanced urban management and efficiency.
    • Key market drivers include the rising demand for real-time data processing and the proliferation of IoT devices, particularly in industrial applications.

    Market Size & Forecast

    2024 Market Size 6.065 (USD Billion)
    2035 Market Size 42.56 (USD Billion)
    CAGR (2025 - 2035) 19.38%

    Major Players

    Amazon (US), Microsoft (US), IBM (US), Google (US), Cisco (US), Hewlett Packard Enterprise (US), Dell Technologies (US), Intel (US), Oracle (US), EdgeConneX (US)

    Edge Computing In IoT Market Trends

    The Edge Computing in IoT Market is currently experiencing a transformative phase, driven by the increasing demand for real-time data processing and analytics. This paradigm shift allows data to be processed closer to the source, thereby reducing latency and enhancing the efficiency of IoT applications. As organizations seek to optimize their operations, the integration of edge computing solutions is becoming more prevalent, enabling faster decision-making and improved responsiveness. Furthermore, the proliferation of connected devices continues to fuel the need for robust edge computing frameworks, which can handle the vast amounts of data generated in various sectors, including manufacturing, healthcare, and smart cities. In addition to operational benefits, the Edge Computing in IoT Market is also influenced by the growing emphasis on data security and privacy. By processing data locally, organizations can mitigate risks associated with data transmission and storage in centralized cloud systems. This trend is particularly relevant as regulatory frameworks evolve to address data protection concerns. As the market matures, collaboration among technology providers, enterprises, and regulatory bodies is likely to shape the future landscape, fostering innovation and ensuring compliance with emerging standards. Overall, the Edge Computing in IoT Market appears poised for substantial growth, driven by technological advancements and shifting business priorities.

    Increased Adoption of AI and Machine Learning

    The integration of artificial intelligence and machine learning into edge computing solutions is becoming more pronounced. This trend enables devices to analyze data locally, facilitating smarter decision-making processes and enhancing operational efficiency.

    Focus on Enhanced Security Measures

    As data privacy concerns rise, there is a notable shift towards implementing advanced security protocols within edge computing frameworks. Organizations are prioritizing local data processing to minimize vulnerabilities associated with centralized systems.

    Expansion of Industry-Specific Applications

    Various industries are increasingly recognizing the potential of edge computing tailored to their specific needs. This trend indicates a move towards customized solutions that address unique challenges in sectors such as healthcare, manufacturing, and transportation.

    Edge Computing In IoT Market Drivers

    Growth of IoT Device Proliferation

    The Edge Computing in IoT Market is significantly influenced by the rapid proliferation of IoT devices across various sectors. With billions of devices connected to the internet, the volume of data generated is staggering. This explosion of data necessitates efficient processing and analysis, which edge computing can provide. It is estimated that by 2025, there will be over 75 billion IoT devices in use, creating an urgent need for localized data processing to manage this influx. Edge computing allows for the aggregation and analysis of data at the source, minimizing bandwidth usage and enhancing response times. As organizations seek to harness the potential of IoT, the integration of edge computing solutions becomes increasingly critical to ensure seamless operations and data management.

    Advancements in Network Infrastructure

    The Edge Computing in IoT Market is poised for growth due to advancements in network infrastructure, particularly with the rollout of 5G technology. The introduction of 5G networks facilitates faster data transmission and lower latency, which are essential for the effective implementation of edge computing solutions. This technological evolution enables more devices to connect simultaneously, thereby enhancing the capabilities of IoT applications. As 5G networks become more widespread, the demand for edge computing solutions is expected to rise, allowing for more sophisticated applications in sectors such as healthcare, manufacturing, and smart cities. The synergy between edge computing and 5G technology is likely to redefine how data is processed and utilized, leading to more efficient and responsive IoT ecosystems.

    Emergence of Industry-Specific Use Cases

    The Edge Computing in IoT Market is witnessing the emergence of industry-specific use cases that drive the adoption of edge computing solutions. Various sectors, including manufacturing, healthcare, and transportation, are increasingly recognizing the benefits of localized data processing. For instance, in manufacturing, edge computing enables real-time monitoring of equipment, leading to predictive maintenance and reduced downtime. In healthcare, it facilitates remote patient monitoring and timely data analysis, enhancing patient care. The growing recognition of these tailored applications is likely to propel the edge computing market forward, as organizations seek to leverage the unique advantages that edge computing offers in their respective industries. This trend indicates a shift towards more specialized and effective IoT solutions.

    Rising Demand for Real-Time Data Processing

    The Edge Computing in IoT Market experiences a notable surge in demand for real-time data processing capabilities. As organizations increasingly rely on instantaneous data analysis for decision-making, the need for edge computing solutions becomes paramount. This technology enables data to be processed closer to the source, thereby reducing latency and enhancing operational efficiency. According to recent estimates, the edge computing market is projected to reach USD 43 billion by 2027, driven by the proliferation of IoT devices. This trend indicates a shift towards decentralized computing architectures, where data is processed at the edge rather than in centralized cloud environments. Consequently, businesses are likely to invest in edge computing solutions to meet the growing expectations for speed and responsiveness in their operations.

    Increased Focus on Data Privacy and Security

    The Edge Computing in IoT Market is increasingly shaped by the heightened focus on data privacy and security. As data breaches and cyber threats become more prevalent, organizations are compelled to adopt edge computing solutions that enhance data protection. By processing data closer to the source, edge computing minimizes the risk of data exposure during transmission to centralized cloud servers. This localized approach not only improves security but also complies with stringent data protection regulations. The market for edge computing solutions is projected to grow as businesses prioritize security in their IoT deployments. This trend suggests that organizations are likely to invest in edge computing technologies that offer robust security features, thereby fostering trust and reliability in their IoT applications.

    Market Segment Insights

    By Application: Smart Cities (Largest) vs. Industrial IoT (Fastest-Growing)

    The Edge Computing in IoT Market is primarily segmented by application, with Smart Cities leading the market share due to increased urbanization and the demand for efficient management of urban resources. Industrial IoT follows closely, driven by the need for automation and data collection from machinery, making it crucial for optimizing operations across industries. Other significant segments include Healthcare, Smart Grid, and Connected Vehicles, each contributing to the diverse applications of edge computing technologies. In terms of growth trends, Industrial IoT is the fastest-growing segment, fueled by advancements in machine learning and rapid deployment of connected devices in manufacturing environments. The Smart Cities application also sees substantial growth, as municipalities adopt smart technologies to enhance public services and infrastructure. Connected Vehicles and Smart Grid applications are also witnessing robust expansions, as the need for real-time data processing becomes increasingly critical in enhancing safety, efficiency, and energy management.

    Smart Cities (Dominant) vs. Industrial IoT (Emerging)

    Smart Cities represent the dominant application of edge computing in IoT due to their comprehensive integration of technology to streamline city management, including traffic control, waste management, and environmental monitoring. By leveraging real-time data processing at the edge, cities can enhance public safety and resource utilization. Furthermore, the deployment of edge computing in Smart Cities contributes to reducing latency issues, enabling immediate responses to changing urban dynamics. On the other hand, Industrial IoT is an emerging application, driven by the need for improved operational efficiency and predictive maintenance in manufacturing processes. It focuses on connecting machinery and sensors to gather and analyze data for fault detection and minimizing downtime, thus marking a pivotal shift in how industries operate.

    By Deployment Type: Cloud-Based (Largest) vs. Hybrid (Fastest-Growing)

    In the Edge Computing in IoT Market, the deployment type segment shows varied preferences among organizations. The cloud-based deployment leads the market, capturing significant share due to its flexibility and scalability, making it an attractive choice for many companies. Conversely, hybrid systems are gaining traction as they offer the best of both worlds, allowing businesses to leverage existing infrastructures while also utilizing cloud capabilities.

    Deployment Type: Cloud-Based (Dominant) vs. Hybrid (Emerging)

    Cloud-based deployment is seen as the dominant solution for many edge computing applications, offering unparalleled scalability and ease of integration with existing cloud infrastructures. This approach allows for efficient data processing and storage, resulting in enhanced performance for IoT applications. On the other hand, hybrid deployment is emerging rapidly as organizations seek to optimize their edge computing strategies. This model enables businesses to combine the strengths of on-premises solutions with cloud services, providing greater control over data security while also maintaining flexibility and faster scalability. The shift toward hybrid solutions aligns with the growing need for tailored edge computing architectures that can adapt to diverse operational requirements.

    By Component: Hardware (Largest) vs. Software (Fastest-Growing)

    In the Edge Computing in IoT Market, the components are primarily divided into Hardware, Software, and Services. Hardware holds the largest share, comprising physical devices such as edge servers and gateways that facilitate data processing closer to the source, reducing latency and bandwidth use. In contrast, Software is rapidly gaining traction as organizations seek to harness advanced analytics and artificial intelligence on edge devices, enhancing their operational efficiencies and facilitating real-time decision-making. The growing demand for connected devices and the proliferation of IoT applications are driving the adoption of edge computing solutions. Hardware components are crucial as they provide the foundational infrastructure necessary to support edge computing. However, the real growth dynamism is seen in the Software segment, which is expected to outpace hardware due to increasing investments in software development, cloud integration, and machine learning capabilities that enable smarter processes at the edge.

    Hardware (Dominant) vs. Software (Emerging)

    The Hardware segment, characterized by edge devices such as routers, gateways, and servers, continues to dominate the Edge Computing in IoT Market due to its essential role in establishing a robust physical infrastructure. This segment is critical for ensuring efficient data processing and connectivity, thereby enabling organizations to respond quickly to changes in operational conditions. On the other hand, the Software segment is emerging as a vital factor for growth, driven by the need for solutions that integrate seamlessly with hardware to optimize data handling and analytics. Software solutions allow for real-time data processing and advanced analytics capabilities at the edge, empowering businesses to achieve operational efficiencies and drive innovative IoT applications. Together, both segments play complementary roles in revolutionizing how data is processed and leveraged in various industries.

    By End Use: Manufacturing (Largest) vs. Transportation and Logistics (Fastest-Growing)

    The Edge Computing in IoT Market displays significant diversity in end-use applications, with manufacturing capturing the largest share. Manufacturing leverages edge computing for operational efficiency, predictive maintenance, and real-time analytics, thereby maximizing productivity. Concurrently, transportation and logistics are emerging as a critical area for edge computing, driven by the need for real-time tracking, route optimization, and inventory management. These distinct applications highlight how industries are increasingly relying on edge technology to enhance their operational capabilities. As the market evolves, growth trends indicate a substantial shift towards applications in transportation and logistics, with factors such as the rise of smart logistics solutions and the need for enhanced supply chain visibility acting as prime drivers. Meanwhile, manufacturing continues to solidify its dominance, embracing edge computing to sustain competitive advantages through automation and data-driven decision-making. The convergence of IoT and edge computing is thus fostering a robust growth trajectory across these segments.

    Manufacturing: Dominant vs. Transportation and Logistics: Emerging

    In the Edge Computing in IoT Market, manufacturing stands out as a dominant segment due to its extensive integration of IoT applications that enhance operational efficiency. The manufacturing sector utilizes edge computing for real-time data processing, enabling smarter production lines and reducing latency in decision-making. On the other hand, transportation and logistics are rapidly emerging as key players, with businesses seeking to leverage edge technology for real-time tracking and improved fleet operations. This segment is characterized by its need for immediate data access, crucial for optimizing route planning and reducing delays. As both segments continue to evolve, they are likely to reshape industry standards and operational frameworks, with manufacturing setting a benchmark for efficiency while transportation and logistics push forward with innovative applications.

    Get more detailed insights about Edge Computing In IoT Market

    Regional Insights

    The Edge Computing in IoT Market is extensively characterized by its regional segmentation, showcasing significant variations in market value across different areas. In 2023, North America emerged as a leading region with a market value of 2.0 USD Billion, reflecting its majority holding in the industry due to its advanced technology infrastructure and early adoption of IoT solutions.

    Europe follows with a valuation of 1.5 USD Billion in the same year, driven by established digital transformation initiatives and increased cloud adoption across various sectors.The APAC region accounted for 1.2 USD Billion, indicating a growing demand for edge computing solutions as countries in this region enhance their connectivity and smart technologies. While South America generated a smaller market value of 0.2 USD Billion, it is recognized for its untapped potential, suggesting future opportunities. The MEA region, valued at 0.18 USD Billion, also presents significant growth prospects as emerging markets explore innovative technologies to support their infrastructure development.

    Overall, the Edge Computing in IoT Market illustrates varying dynamics among regions, shaping unique opportunities and challenges in the landscape.

    Edge Computing in IoT Market Regional Insights

    Source: Primary Research, Secondary Research, MRFR Database and Analyst Review

    Key Players and Competitive Insights

    The competitive insights of the Global Edge Computing in the IoT Market highlight a rapidly evolving landscape where companies are striving to enhance their technological offerings and capture market share. This sector has gained significant traction due to the increasing demand for real-time data processing and low-latency communication in IoT applications. Various players are innovating edge computing solutions to improve operational efficiency, speed up response times, and alleviate bandwidth constraints associated with cloud computing. Companies are competing not only based on their technological capabilities but also on factors such as scalability, security, and integration with existing IoT frameworks.

    The competitive dynamics are influenced by alliances, acquisitions, and investments in research and development as businesses seek to establish their leadership in this burgeoning market.Hewlett Packard Enterprise has carved a distinct niche in the Edge Computing in IoT Market through its strong emphasis on delivering scalable and robust solutions tailored to meet diverse industry needs. The company's edge computing portfolio is designed to facilitate efficient data processing at the network's edge, which is particularly valuable for industries such as manufacturing, transportation, and healthcare.

    Hewlett Packard Enterprise boasts a comprehensive suite of software and hardware offerings that enable seamless integration with IoT devices while ensuring strong security measures are in place. Their focus on enabling enterprises to harness the power of data in real-time positions them as a formidable competitor in the edge computing landscape as they continue to innovate and respond to shifting market demands.Cisco plays a critical role in the Edge Computing in IoT Market by leveraging its extensive networking expertise and services to enhance edge computing capabilities.

    The company integrates advanced networking technologies with edge computing to provide reliable, secure, and efficient solutions aimed at facilitating smarter and more connected environments. Cisco's investment in edge computing extends to its offerings of software-defined networking solutions, which enable intelligent data processing and management at the edge. Their strong partnerships and collaborations within the IoT ecosystem enhance their market presence, making it easier for businesses to implement edge solutions that align with their operational goals.

    Furthermore, Cisco’s commitment to developing robust security protocols ensures that its edge computing solutions are not only efficient but also safe from emerging cyber threats, thus solidifying its position as a key player in the market.

    Key Companies in the Edge Computing In IoT Market market include

    Industry Developments

    • Q2 2024: Siemens and NVIDIA partner to bring industrial edge AI to IoT devices Siemens announced a strategic partnership with NVIDIA to integrate NVIDIA's edge AI technology into Siemens' industrial IoT platforms, aiming to accelerate real-time data processing and automation in manufacturing environments.
    • Q2 2024: Edge Impulse raises $60M Series C to expand edge AI for IoT Edge Impulse, a startup specializing in edge AI development tools for IoT devices, secured $60 million in Series C funding to scale its platform and accelerate adoption in industrial and consumer IoT markets.
    • Q3 2024: Amazon Web Services launches AWS IoT Edge Gateway AWS introduced a new IoT Edge Gateway product, enabling enterprises to deploy and manage edge computing workloads for IoT devices with enhanced security and real-time analytics capabilities.
    • Q3 2024: Bosch opens new edge computing R&D center for IoT in Germany Bosch inaugurated a dedicated research and development facility focused on edge computing solutions for industrial IoT, aiming to accelerate innovation in connected manufacturing and logistics.
    • Q4 2024: Cisco and Schneider Electric announce global partnership for edge IoT solutions Cisco and Schneider Electric revealed a global partnership to co-develop edge computing platforms tailored for industrial IoT, targeting energy, manufacturing, and smart building sectors.
    • Q4 2024: HPE acquires edge IoT analytics startup FogHorn Hewlett Packard Enterprise completed the acquisition of FogHorn, a leading provider of edge analytics software for industrial IoT, to strengthen its edge-to-cloud portfolio.
    • Q1 2025: Microsoft launches Azure Edge Runtime for IoT device management Microsoft announced the general availability of Azure Edge Runtime, a new platform for managing and orchestrating IoT workloads at the edge, supporting real-time processing and AI inference.
    • Q1 2025: Intel unveils next-gen edge processors for IoT applications Intel launched a new line of edge processors optimized for IoT workloads, featuring enhanced AI acceleration and low-power operation for industrial and smart city deployments.
    • Q2 2025: Particle secures $45M funding to expand edge IoT connectivity platform IoT connectivity provider Particle raised $45 million in a new funding round to accelerate the rollout of its edge computing platform for enterprise IoT deployments.
    • Q2 2025: ABB and Ericsson sign multi-year contract for 5G-enabled edge IoT in factories ABB and Ericsson entered a multi-year agreement to deploy 5G-enabled edge computing solutions in ABB's smart factories, enhancing real-time automation and predictive maintenance.
    • Q3 2025: Dell Technologies launches modular edge gateway for industrial IoT Dell Technologies introduced a new modular edge gateway designed for industrial IoT, offering flexible connectivity and integrated security for edge deployments in manufacturing and energy sectors.
    • Q3 2025: Samsung opens new edge AI chip fabrication facility in South Korea Samsung inaugurated a state-of-the-art fabrication plant dedicated to producing edge AI chips for IoT devices, aiming to meet growing demand in automotive, industrial, and consumer electronics markets.

    Future Outlook

    Edge Computing In IoT Market Future Outlook

    The Edge Computing in IoT Market is projected to grow at a 19.38% CAGR from 2024 to 2035, driven by increased data processing needs and real-time analytics.

    New opportunities lie in:

    • Development of edge AI solutions for predictive maintenance
    • Integration of edge computing with 5G for enhanced connectivity
    • Creation of industry-specific edge computing platforms for smart manufacturing

    By 2035, the market is expected to be a cornerstone of IoT infrastructure, driving innovation and efficiency.

    Market Segmentation

    Edge Computing In IoT Market End Use Outlook

    • Manufacturing
    • Energy and Utilities
    • Transportation and Logistics
    • Retail

    Edge Computing In IoT Market Component Outlook

    • Hardware
    • Software
    • Services

    Edge Computing In IoT Market Application Outlook

    • Smart Cities
    • Industrial IoT
    • Healthcare
    • Smart Grid
    • Connected Vehicles

    Edge Computing In IoT Market Deployment Type Outlook

    • On-Premises
    • Cloud-Based
    • Hybrid

    Report Scope

    MARKET SIZE 20246.065(USD Billion)
    MARKET SIZE 20257.24(USD Billion)
    MARKET SIZE 203542.56(USD Billion)
    COMPOUND ANNUAL GROWTH RATE (CAGR)19.38% (2024 - 2035)
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    BASE YEAR2024
    Market Forecast Period2025 - 2035
    Historical Data2019 - 2024
    Market Forecast UnitsUSD Billion
    Key Companies ProfiledMarket analysis in progress
    Segments CoveredMarket segmentation analysis in progress
    Key Market OpportunitiesIntegration of artificial intelligence enhances real-time data processing in the Edge Computing in IoT Market.
    Key Market DynamicsRising demand for real-time data processing drives innovation and competition in the Edge Computing in IoT Market.
    Countries CoveredNorth America, Europe, APAC, South America, MEA

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    FAQs

    What is the expected market size of the Edge Computing in IoT Market in 2032?

    The Edge Computing in IoT Market is expected to be valued at 25.0 USD Billion in 2032.

    What is the anticipated compound annual growth rate (CAGR) for the Edge Computing in IoT Market from 2024 to 2032?

    The expected CAGR for the Edge Computing in IoT Market from 2024 to 2032 is 19.38%.

    Which region is projected to have the largest market share in 2032 for Edge Computing in IoT?

    North America is projected to have the largest market share, valued at 10.0 USD Billion in 2032.

    What is the market size for the Industrial IoT application in the Edge Computing in IoT Market in 2032?

    The Industrial IoT application is expected to reach a market size of 6.35 USD Billion in 2032.

    Who are the key players in the Edge Computing in IoT Market?

    Major players include Hewlett Packard Enterprise, Cisco, Microsoft, Google, and Amazon, among others.

    What is the market value of the Smart Cities application in the Edge Computing in IoT Market in 2032?

    The Smart Cities application is projected to be valued at 5.05 USD Billion in 2032.

    What growth potential does the APAC region hold for the Edge Computing in IoT Market by 2032?

    The APAC region is expected to grow to 5.0 USD Billion in market size by 2032.

    What is the expected market size for Healthcare applications in 2032 within this market?

    The Healthcare application is expected to reach a market size of 4.25 USD Billion in 2032.

    What are the expected market values for the Connected Vehicles application in 2032?

    The Connected Vehicles application is forecasted to be valued at 5.15 USD Billion in 2032.

    How significant is the Smart Grid application in the Edge Computing in IoT Market by 2032?

    The Smart Grid application is projected to reach a market size of 4.5 USD Billion by 2032.

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