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The global edge computing market is projected to grow from USD 83.72 billion in 2024 to USD 1,531 billion by 2035, representing a CAGR of 30.23%, during the forecast period 2024-2035.
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The new research study consists of edge computing trends 2025 analysis, detailed global edge computing growth forecast analysis, and providing actionable strategic recommendations.
Edge computing is a technology where data is processed and stored closer to the source so that rapid and real time analysis can take place. This technology allows for faster data processing, lower latency, improved security and better system performance overall. It is a mesh network of micro data centers which process and store data locally, pushing all received data to cloud storage. Edge computing technology is built on a distributed computer system, allowing several users to access data from different linked devices. Edge computing is essentially used to reduce the operation time to milliseconds.
The edge computing market is expected to witness a substantial market growth due to integration of edge AI and development of the internet of things technology. The exponential increase in the usage of edge devices is also fueling the market growth. Devices ranging from IoT devices including mobile point-of-sale kiosks, smart cameras, industrial PCs and medical sensors to gateways and edge computing infrastructure for faster and real-time insights into the data source, all come under the edge devices category, fueling the market growth of the industry.
The edge computing industry report presents an in-depth analysis of the various companies that are involved in offering edge computing solutions, across different segments, as defined in the table below:
| Key Report Attributes | Details | |
| Historical Trend | Since 2019 | |
| Forecast Period | 2024-2035 | |
| Market Size Value in 2024 | $ 83.72 Billion | |
| Market Size Value by 2035 | $ 1,531 Billion | |
| CAGR (Till 2035) | 30.23% | |
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| Customization Scope | 15% Free Customization | |
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The global edge computing market is segmented across application software, edge cloud infrastructure, hardware, networks, and services. The hardware segment dictates the market, projected to capture a dominant 35.34% share by 2035. This structural dominance is fundamentally driven by the aggressive deployment of bare metal cloud architectures at decentralized edge locations. As industrial IoT and localized AI inference demand sub-millisecond, real-time decision-making, infrastructure operators are heavily investing in single-tenant hardware to completely bypass hypervisor overhead. This integration of bare metal compute at the edge establishes a critical deterministic performance moat, ensuring maximum throughput and strict latency reduction without virtualized bottlenecks.
Concurrently, the services segment accelerates rapidly, projected to achieve a 35.23% CAGR through the forecast period. This expansion is directly catalyzed by the complex orchestration requirements inherent in distributed edge networks. Enterprises increasingly mandate specialized managed and professional services to securely provision, maintain, and optimize these remote bare metal nodes, effectively controlling operational expenditures while ensuring uninterrupted, high-density processing capabilities across global edge deployments.
The global edge computing market is segmented into two types of deployment, such as on-cloud, and on-premises. According to our edge computing industry analysis, the cloud-based segment will augment the segment's growth with the largest market share of over 70.56% by next decade. This can be attributed to the flexibility, scalability and cost-effectiveness offered by cloud-based solutions. The increasing priority being given to accessibility and efficiency by digital signage manufacturers is increasing the cloud segment’s market share.
The global edge computing market is segmented into various types of connectivity, such as 5G, Bluetooth, cellular IoT, and private networks. According to our edge computing technology insights, the 5G segment will augment the market's growth with a market share of 49.65% by 2035. This can be attributed to 5G’s ability to support high-speed data transmission and low-latency, properties critical for edge computing applications. Furthermore, the 5G segment is also expected to witness the fastest CAGR during the forecasted period due to the increasing deployment of 5G chipset, networks and the rising demand for real-time data processing across various industries.
The market is segmented into various edge computing applications, such as augmented reality and virtual reality, IIoT applications, predictive maintenance, robotics & automation, remote monitoring, smart cities, and others. According to our global edge computing market analysis, the industrial internet of things segment will augment the market's growth with a market share of 48.65% by 2035 as well as at a relatively higher CAGR of around 40.12%. This can be attributed to the segment’s extensive use across various industries and the increasing deployment of connected devices. The rising demand for real-time data processing and analytics at the edge which enhances operational efficiency and reduces latency, is also a significant market growth factor.
The market is segmented into various types of end-users, such as automotive, BFSI, healthcare, IT & telecom, manufacturing, oil & gas, retail, and others. According to our edge computing market analysis, the manufacturing segment is anticipated to gain the maximum market share of around 35.78% over this forecast period. This can be attributed to the emerging digital technologies for data collection, analysis, product insights, and efficiency. These emerging technologies enable smart manufacturing which includes reduced downtime, enhanced product quality and improved overall output. However, it is worth highlighting that the healthcare segment is expected to witness the fastest CAGR of over 38.9% in the forecasted period.
This demand is being fueled by the ongoing digital transformation in healthcare facilities including applications such as patient monitoring, telemedicine, and efficient data management. These increasingly utilize edge computing to enhance operational efficiency and improve patient care outcomes.
The global edge computing market is fragmented into multiple types of enterprise namely large and small and medium enterprise. Currently, the large enterprise segment is anticipated to dominate the segment with 60.34% of edge computing market share. However, small and medium enterprise segments are expected to witness a relatively higher (37.2%) edge computing market growth rate until 2035. This is ascribable to their agility, innovation, focus on niche markets, and ability to adapt to changing customer preferences and market conditions.
This segment highlights the distribution of edge computing across various geographical regions, such as North America, Europe, Asia, Latin America, Middle East and North Africa, and the rest of the world. According to our edge computing regional outlook, North America currently exhibits dominance with 37.69% of overall market share due to the region’s strong technological infrastructure, increased edge computing adoption strategies, and significant edge computing investment opportunities by key industry players. North America is a bustling home to several startups delivering platforms for developing edge-enabled solutions that are anticipated to boost the regional market’s growth.
The “Edge computing market, Till-2035: Industry Trends and Global Forecasts” report features an extensive study of the current market landscape, market size and future opportunity within the edge computing market, during the given forecast period. The market report highlights the efforts of several stakeholders involved in this rapidly emerging segment of the service providers industry. Key takeaways of the edge computing market report are briefly discussed below.
The global edge computing market is expected to be driven by the rising adoption of IoT devices, which in return create a large amount of data that needs to be processed and analyzed. Additionally, organizations are actively adopting edge computing instead of cloud computing and storage systems due to the better bandwidth and low latency for analysis the former provides. In addition to this, edge computing brings computation closer to IoT devices which consequently increases data security and decreases network latency because of the reduced distance of data transferring. Mission-critical latency reduction efforts in the defense sector increasingly rely on synergies with the 5G in defense.
This further enables edge computing to optimize IoT applications which require real time responses and support market growth. In reference to this, Rajesh Subramaniam, CEO and Founder of embedUR systems, stated that, edge computing reduces costs and enhances operational efficiency by enabling real-time data processing at the source. For instance, battery-powered edge devices in agriculture can differentiate crops from weeds and apply treatments precisely, eliminating the need for constant cloud connectivity. This capability will revolutionize various industries by enabling smarter, more efficient operations.
Porter’s five forces is a method for analyzing the competitive environment of edge computing domain, focusing on five key forces that determine industry attractiveness and profitability in the long run.
With the presence of several small and large edge computing manufacturing companies, the market is experiencing intense competition and changing edge computing market dynamics. From large multinational companies to local edge computing manufacturing players, companies are striving to enhance their competitive edge. In terms of market share, large enterprises and multinational companies are dominating the market. While small edge computing manufacturing players are continuously improving their products to cater to niche markets, or they are offering specialized edge computing services.
These industry players are focusing on adopting competitive strategies, such as developing innovative edge computing solution techniques, forming strategic alliances and partnerships to expand their portfolios and global footprint, investing in recent developments and new feature launches to enhance their edge computing products offerings. For instance, in September 2023, Lenovo announced the launch of edge AI solutions and services for businesses. With this they can fast-track their AI readiness, enabling users to deploy edge computing and gain AI-powered insights straight from the source of data generation. This can be done through a pay-as-you-go model.
Despite the strong market growth projection, there are several challenges in the edge computing market. The most common challenge is the high initial capital investments. The installation and maintenance of edge infrastructure can increase the CAPEX of many companies. Constructing a complete robust solution is difficult as it requires investing in edge nodes, devices, and data centers which can turn out to be quite expensive. The edge computing costs vary differently, depending on the data, scale, expertise and location.
With respect to regional edge computing industry insights, North America is likely to dominate the market for the forecasted period. The dominance of this region is majorly influenced by the growing presence of leading market players based in the US some of them include IBM, Intel and Microsoft. Furthermore, the convergence of IIoT with edge computing is building favorable conditions for US manufacturers to adopt the concept of connected factories. The region’s market growth is also being fueled by several startups that have evolved to deliver platforms for developing edge-enabled solutions.
Examples of key edge computing device manufacturers involved in the edge computing market (which have also been captured in this market report, arranged in alphabetical order) include ABB, ADLINK, Alphabet, Amazon.com, Amazon Web Services, Aricent, Atos, Cisco, Dell Technologies, EdgeConneX, ElnfoChips, Fintek, FogHorn, General Electric Company, Google, Hewlett Packard Enterprise, Honeywell, Huawei, IBM, Intel, Juniper Networks, Kontron, Microsoft, Rockwell Automation, SAP SE, Schneider, Siemens.
At Roots Analysis, we genuinely care about your success and understand that your business requirements are unique. While our edge computing research reports provide valuable insights, we recognize that they might not cover every aspect you need to make well-informed strategic decisions. To account for that, we offer 15% free report customization tailored to your specific needs. Whether you require additional quantitative analysis, qualitative insights, or any other information related to the edge computing market, reach out us today at: support@rootsanalysis.com