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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

    The Global Edge Computing in IoT Market is projected to grow significantly from 6.19 USD Billion in 2024 to 42.5 USD Billion by 2035.

    Key Market Trends & Highlights

    Edge Computing in IoT Key Trends and Highlights

    • The market is expected to experience a compound annual growth rate (CAGR) of 19.16% from 2025 to 2035.
    • By 2035, the market valuation is anticipated to reach 42.5 USD Billion, indicating robust growth potential.
    • In 2024, the market is valued at 6.19 USD Billion, laying a strong foundation for future expansion.
    • Growing adoption of edge computing technologies due to the increasing demand for real-time data processing is a major market driver.

    Market Size & Forecast

    2024 Market Size 6.19 (USD Billion)
    2035 Market Size 42.5 (USD Billion)
    CAGR (2025-2035) 19.16%

    Major Players

    Hewlett Packard Enterprise, Cisco, Microsoft, Google, FogHorn Systems, Amazon, IBM, Alibaba Cloud, Huawei, Scale Computing, Intel, EdgeConnex, Dell Technologies, VeloCloud, Oracle

    Edge Computing In IoT Market Trends

    The Edge Computing in IoT Market, on the other hand, seems to be experiencing significant growth due to the presence of several key market drivers. One such driver is the rising need for real-time data processing and analysis. There is a rising trend in the amount of data being generated due to the use of IoT devices, and As such, organizations want to lessen the waiting period to perform a task, further increasing the efficiency of the task being performed.

    As more and more devices get interconnected and the performance level of the networks needs to be enhanced, the edge computing space also expands. Higher concern towards data privacy and security also forces companies to have to operate sensitive data closer to the edge to minimize the risks linked with transferring data to large-scale clouds.

    Edge networks are able to create difficult security issues that businesses are eager to exploit as they seek rewards from the centralization of computing data storage. Healthcare, manufacturing, and smart cities are some well industry verticals that aim to employ edge computing for enhancing the improved efficiency of analytics as well as automation augmentation. Integrated AI at the edges offers more intelligent decisions and a smoother approach to make processes more productive. Businesses are recognizing lower bandwidth and better efficiency are the key advantages of edge computing.

    To address these areas of growth, forming strategic relationships and leveraging new technologies will be very important going forward.

    Recent trends especially point toward an advance into a more holistic ecosystem that sees edge computing naturally complementing cloud computing frameworks. This hybrid model enables organizations to take advantage of the best of both on-premise processing and cloud capabilities. Additionally, the fast-paced development of 5G technology has propelled edge computing that was previously deemed impractical by allowing speedier transmission of data and lower latency. Furthermore, rising expenditure on edge infrastructure and platforms demonstrates increasing faith in the sustainability of this market.

    As all the companies begin to concentrate on the journey of digital transformation, the importance of edge computing will not only keep on increasing but will also fuel further innovation as well as new business model creation.

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

    The integration of edge computing within the Internet of Things ecosystem appears to enhance data processing efficiency and reduce latency, thereby fostering a more responsive and agile technological landscape.

    U.S. Department of Commerce

    Edge Computing In IoT Market Drivers

    Market Growth Projections

    The Global Edge Computing in IoT Market Industry is projected to experience substantial growth in the coming years. With a market value anticipated to reach 6.19 USD Billion in 2024 and an impressive 42.5 USD Billion by 2035, the industry is on a trajectory of rapid expansion. The compound annual growth rate (CAGR) of 19.16% from 2025 to 2035 underscores the increasing importance of edge computing in managing the data generated by IoT devices. This growth reflects the broader trend of digital transformation across various sectors, emphasizing the critical role of edge computing in enhancing operational efficiency and data management.

    Increased Adoption of IoT Devices

    The proliferation of IoT devices significantly propels the Global Edge Computing in IoT Market Industry. With billions of connected devices anticipated by 2024, organizations are compelled to adopt edge computing solutions to manage the vast amounts of data generated. For example, smart cities leverage edge computing to analyze traffic patterns and optimize resource allocation. This widespread adoption is expected to fuel market growth, with projections suggesting a value of 42.5 USD Billion by 2035. The integration of edge computing allows for efficient data handling, ensuring that IoT applications function seamlessly and effectively.

    Supportive Government Initiatives

    Government initiatives play a pivotal role in shaping the Global Edge Computing in IoT Market Industry. Various countries are investing in smart infrastructure and digital transformation projects, which inherently require robust edge computing capabilities. For example, initiatives aimed at enhancing public safety through smart surveillance systems necessitate real-time data processing at the edge. These governmental efforts not only foster innovation but also create a conducive environment for market growth. As a result, the market is poised for substantial expansion, with a projected CAGR of 19.16% from 2025 to 2035.

    Enhanced Security and Privacy Concerns

    Security and privacy issues remain critical drivers for the Global Edge Computing in IoT Market Industry. As data breaches become more prevalent, organizations are increasingly seeking solutions that enhance data security. Edge computing mitigates risks by processing sensitive information locally, reducing exposure to potential threats. For instance, healthcare organizations utilize edge computing to safeguard patient data while ensuring compliance with regulations. This focus on security is likely to accelerate the adoption of edge computing solutions, as businesses prioritize protecting their data assets in an increasingly interconnected world.

    Growing Need for Low Latency Applications

    The demand for low latency applications is a significant driver of the Global Edge Computing in IoT Market Industry. Industries such as autonomous vehicles and augmented reality require instantaneous data processing to function effectively. Edge computing addresses this need by enabling data to be processed closer to the source, thereby reducing latency. For instance, in autonomous driving, real-time data analysis is crucial for safety and navigation. As the need for such applications continues to rise, the market is expected to witness robust growth, further solidifying the role of edge computing in IoT.

    Rising Demand for Real-Time Data Processing

    The Global Edge Computing in IoT Market Industry experiences a surge in demand for real-time data processing capabilities. As industries increasingly rely on IoT devices for operational efficiency, the need for immediate data analysis becomes paramount. For instance, manufacturing sectors utilize edge computing to monitor equipment performance in real time, reducing downtime and enhancing productivity. This trend is projected to contribute to the market's growth, with estimates indicating a market value of 6.19 USD Billion in 2024. The ability to process data closer to the source not only minimizes latency but also optimizes bandwidth usage, further driving adoption.

    Market Segment Insights

    Edge Computing in IoT Market Application Insights

    The Edge Computing in IoT Market focuses significantly on the Application segment, which encompasses various critical areas such as Smart Cities, Industrial IoT, Healthcare, Smart Grid, and Connected Vehicles. In 2023, the market is valued at 5.08 USD Billion, showcasing considerable potential for growth in the coming years. Among these applications, Smart Cities stand out with a valuation of 1.02 USD Billion in 2023, indicating an increasing trend towards urban connectivity and efficient resource management facilitated by edge computing technologies.

    This initiative not only enhances the overall quality of life but also addresses challenges related to urbanization, traffic management, and energy efficiency. Industrial IoT also plays a major role in this landscape, with a value of 1.28 USD Billion in 2023, underlining its importance in automating processes, enhancing productivity, and enabling predictive maintenance across various industries. The need for real-time data processing in manufacturing and supply chains drives a significant demand for edge computing solutions, making it a critical segment for businesses looking to optimize operations and reduce downtime.

    Moving to the healthcare sector, it holds a smaller market share, valued at 0.88 USD Billion in 2023. However, its role is increasingly critical in facilitating remote patient monitoring, telemedicine, and data-driven health services. The potential of edge computing to process sensitive health data in real time ensures compliance with regulations while providing timely insights for better patient outcomes.The Smart Grid segment, valued at 0.9 USD Billion in 2023, is making strides in modernizing energy infrastructure.

    The integration of edge computing in smart grid technologies enables better energy distribution management, predictive maintenance, and real-time analytics to enhance grid reliability and efficiency. This application is vital given the global push towards sustainable energy solutions.Lastly, Connected Vehicles will be valued at 1.0 USD Billion in 2023, highlighting the significant advancements in automotive technologies driven by edge computing. The ability to process data from various sensors in real time enhances vehicle safety, improves navigation systems, and supports the development of autonomous driving features.

    The increasing adoption of smart transportation systems indicates a growing market that is expected to evolve rapidly.In summary, while each application area presents unique growth drivers and challenges, the collective potential of edge computing in these segments indicates a robust market poised for considerable advancements and opportunities over the coming years. Urban initiatives, industrial automation, healthcare innovations, energy management, and smart vehicle technology all exemplify how edge computing is set to transform the landscape across diverse sectors within the Edge Computing in IoT Market.

    As this market evolves, the insights and statistics reflect a clear trajectory toward increased connectivity, efficiency, and responsiveness, underscoring the importance of these applications in everyday life.

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

    Edge Computing in IoT Market Deployment Type Insights

    The Edge Computing in IoT Market is poised for substantial growth, with a projected value of 5.08 USD Billion in 2023. The Deployment Type segment plays a crucial role in this market, encompassing various approaches to edge computing, including On-Premises, Cloud-Based, and Hybrid solutions. Cloud-based deployment is gaining traction due to its scalability and flexibility, making it vital for businesses aiming to manage large data volumes efficiently.

    Meanwhile, On-Premises solutions are preferred by organizations requiring stringent control over their data and operational security, contributing to this segment's prominence in industries such as healthcare and finance.The Hybrid model combines the strengths of both On-Premises and Cloud-Based systems, offering businesses the agility to adapt to changing demands. Factors driving the growth of these deployment types include the increasing number of IoT devices and the need for real-time data processing. Nevertheless, challenges such as data privacy concerns and integration complexities may impact the adoption rate.

    Overall, the Edge Computing in IoT Market revenue is expected to reach 25.0 USD Billion by 2032, reflecting a robust market growth trajectory influenced by the dynamics of various deployment styles.

    Edge Computing in IoT Market Component Insights

    The Edge Computing in IoT Market, valued at 5.08 USD Billion in 2023, is experiencing notable growth, driven by increasing demand for real-time data processing and the proliferation of IoT devices. Within this market, the Component segment plays a crucial role, encompassing Hardware, Software, and Services, each contributing significantly to overall industry dynamics. Hardware forms the backbone of edge computing, enabling reduced latency and high performance, making it a focal point for manufacturers.

    Meanwhile, Software is vital for integrating and managing these devices effectively, supporting applications that require rapid data analysis.Services, encompassing support and maintenance, are equally important, addressing operational challenges faced by organizations during implementation. The dominance of Hardware can be attributed to the rapid technological advancements that enhance device capabilities, while the importance of Software and Services continues to grow as organizations seek comprehensive solutions.

    The combination of these elements positions the Edge Computing in IoT Market for robust growth, expected to reach a valuation of 25.0 USD Billion by 2032, supported by a projected CAGR of 19.38 during the forecast period from 2024 to 2032.The overall segment's contribution is crucial in responding to market demands, driving innovations, and addressing the challenges faced by industries in leveraging edge computing technologies.

    Edge Computing in IoT Market End Use Insights

    The Edge Computing in IoT Market is projected to reach 5.08 USD Billion in 2023, reflecting significant investment and growth potential across various end-use sectors. Manufacturing stands out as a critical area, leveraging edge computing to enhance automation and optimize supply chains, thus driving operational efficiency. The Energy and Utilities sector is also notable, utilizing edge computing for real-time monitoring and management of energy resources, which is key for sustainability efforts.

    Transportation and Logistics benefit greatly from edge computing by improving real-time tracking and route optimization, ultimately leading to reduced costs and enhanced customer satisfaction.The Retail industry employs edge computing to personalize customer experiences and manage inventory effectively, which are crucial for staying competitive. Each of these sectors represents a substantial portion of the Edge Computing in IoT Market revenue, indicating robust prospects as organizations continue to seek innovative solutions to improve their operations.

    Market dynamics such as increasing data generation and the need for low-latency processing are expected to propel growth, providing ample opportunities for new and existing players in the industry.The overall market data reflects a broader trend toward digital transformation across industries, underscoring the strategic importance of edge computing in optimizing operations and harnessing IoT capabilities.

    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 19.16% CAGR from 2024 to 2035, driven by increasing data processing needs, IoT device proliferation, and demand for real-time analytics.

    New opportunities lie in:

    • Develop edge AI solutions to enhance data processing efficiency in smart cities.
    • Create secure edge computing frameworks for critical infrastructure applications.
    • Implement edge analytics tools for predictive maintenance in manufacturing sectors.

    By 2035, the Edge Computing in IoT Market is expected to be a pivotal component of global digital transformation.

    Market Segmentation

    Edge Computing in IoT Market End Use Outlook

    • North America
    • Europe
    • South America
    • Asia Pacific
    • Middle East and Africa

    Edge Computing in IoT Market Regional Outlook

    • North America
    • Europe
    • South America
    • Asia Pacific
    • Middle East and Africa

    Edge Computing in IoT Market Component Outlook

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

    Edge Computing in IoT Market Application Outlook

    • On-Premises
    • Cloud-Based
    • Hybrid

    Edge Computing in IoT Market Deployment Type Outlook

    • Hardware
    • Software
    • Services

    Report Scope

    Edge Computing in IoT Market Report Scope
    Report Attribute/Metric Details
    Market Size 2022 4.25(USD Billion)
    Market Size 2023 5.08(USD Billion)
    Market Size 2032 25.0(USD Billion)
    Compound Annual Growth Rate (CAGR) 19.38% (2024 - 2032)
    Report Coverage Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
    Base Year 2023
    Market Forecast Period 2024 - 2032
    Historical Data 2019 - 2023
    Market Forecast Units USD Billion
    Key Companies Profiled Hewlett Packard Enterprise, Cisco, Microsoft, Google, FogHorn Systems, Amazon, IBM, Alibaba Cloud, Huawei, Scale Computing, Intel, EdgeConnex, Dell Technologies, VeloCloud, Oracle
    Segments Covered Application, Deployment Type, Component, End Use, Regional
    Key Market Opportunities Increased data processing speed, Enhanced real-time analytics, Growth in smart devices, Expansion of 5G networks, Reduced latency for applications
    Key Market Dynamics Data security and privacy concerns, Growing IoT device adoption, Low latency requirements, Enhanced real-time data processing, Cost-effective connectivity solutions
    Countries Covered North 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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