Edge Computing Market
Edge Computing Market Forecasts to 2032 - Global Analysis By Component (Hardware, Software and Services), Organization Size (Large Enterprises and Small and Medium-sized Enterprises (SMEs)), Deployment Mode, Technology, End User and By Geography
|
Years Covered |
2024-2032 |
|
Estimated Year Value (2025) |
US $31.9 BN |
|
Projected Year Value (2032) |
US $260.9 BN |
|
CAGR (2025-2032) |
35% |
|
Regions Covered |
North America, Europe, Asia Pacific, South America, and Middle East & Africa |
|
Countries Covered |
US, Canada, Mexico, Germany, UK, Italy, France, Spain, Japan, China, India, Australia, New Zealand, South Korea, Rest of Asia Pacific, South America, Argentina, Brazil, Chile, Middle East & Africa, Saudi Arabia, UAE, Qatar, and South Africa |
|
Largest Market |
Asia Pacific |
|
Highest Growing Market |
North America |
According to Stratistics MRC, the Global Edge Computing Market is accounted for $31.9 billion in 2025 and is expected to reach $260.9 billion by 2032 growing at a CAGR of 35% during the forecast period. A distributed computing paradigm known as ""edge computing"" moves data processing closer to the point of generation rather than depending entirely on centralised cloud servers. It increases response times, lowers latency, and facilitates real-time decision-making by processing data at or close to the network's edge, such as local edge servers, sensors, or Internet of Things devices. This method works particularly well for applications that need to be processed instantly, such smart cities, industrial automation, and driverless cars. By eliminating the need to send sensitive data to remote data centres or cloud platforms, edge computing significantly lowers bandwidth consumption and enhances data security and privacy.
Market Dynamics:
Driver:
Surge in IoT devices and data generation
The need for edge computing to process data closer to the source and lower latency is heightened by this. Applications such as industrial automation, smart cities, and driverless cars require real-time data analysis. Edge computing reduces dependency on centralised cloud infrastructure, allowing for quicker decision-making. By restricting data transfer, it also improves data security and privacy. Consequently, the market for edge computing is expanding quickly due to the growing usage of IoT.
Restraint:
Security and privacy concerns
Data processing at the edge raises the possibility of cyberattacks because of dispersed and frequently insecure endpoints. In contrast to centralised cloud settings, edge devices might not have strong security measures in place, which leaves them open to attack. It gets harder to maintain data integrity and comply with laws like GDPR. Because of the possibility of data breaches and privacy violations, organisations are hesitant to implement edge technologies. Large-scale deployments are delayed by these issues, which increase implementation costs.
Opportunity:
5G deployment and AI integration
Reliance on centralised cloud systems is decreased as a result of improved real-time data processing at the edge. This is enhanced by AI integration, which makes it possible to make wise decisions and conduct analytics nearer to the data sources. When combined, they facilitate time-sensitive applications such as remote healthcare, smart manufacturing, and driverless cars. Across industries, this synergy increases scalability, responsiveness, and efficiency. In order to fully utilise 5G and AI, organisations are consequently adopting edge solutions at an increasing rate.
Threat:
Lack of standardization and interoperability
Devices from many vendors have trouble communicating effectively if there are no standard protocols. Businesses incur higher expenses as a result of this fragmentation, which also makes implementation more challenging. Because developers have to take into consideration several incompatible platforms, it also stifles innovation. Furthermore, a lack of interoperability hinders broad adoption and decreases scalability. As of this, businesses are reluctant to spend money on cutting-edge solutions, which slows market expansion.
Covid-19 Impact
The Covid-19 pandemic significantly accelerated the adoption of edge computing as organizations sought to support remote work, minimize latency, and ensure real-time data processing. The surge in demand for low-latency applications in healthcare, manufacturing, and logistics fuelled edge deployment. However, supply chain disruptions and project delays initially hindered hardware rollouts. Despite these challenges, the crisis highlighted the importance of decentralized computing, pushing businesses to invest more in edge technologies to enhance resilience, efficiency, and data security in a post-pandemic world.
The smart cities segment is expected to be the largest during the forecast period
The smart cities segment is expected to account for the largest market share during the forecast period, due to real-time data processing for traffic management, surveillance, and public safety systems. It reduces latency and bandwidth usage by processing data closer to the source, enhancing efficiency in urban operations. Edge computing supports intelligent infrastructure such as smart grids, smart lighting, and waste management systems. The rising adoption of IoT devices across smart cities boosts demand for localized computing solutions. This growing integration accelerates edge deployments, driving market growth.
The large enterprises segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the large enterprises segment is predicted to witness the highest growth rate by driving high demand for low-latency data processing to support real-time applications. These organizations generate massive volumes of data, requiring efficient edge infrastructure to reduce network congestion and ensure faster insights. They invest heavily in advanced technologies like AI, IoT, and 5G, which further accelerate edge adoption. Large enterprises prioritize data security and regulatory compliance, making localized edge solutions highly attractive. Their significant IT budgets and focus on digital transformation contribute to sustained market growth.
Region with largest share:
During the forecast period, the Asia Pacific region is expected to hold the largest market share due to increasing adoption of IoT devices, expansion of 5G networks, and rising demand for real-time data processing across smart cities and industrial automation sectors. Countries like China, Japan, South Korea, and India are heavily investing in digital infrastructure, promoting data localization, and encouraging cloud-to-edge transitions. The presence of major telecom players and government-backed digital initiatives accelerates market development. Additionally, AI-integrated edge solutions are gaining traction across retail, automotive, and healthcare, fostering innovation and localized data processing capabilities.
Region with highest CAGR:
Over the forecast period, the North America region is anticipated to exhibit the highest CAGR, owing to by early technology adoption, mature cloud ecosystem, and high concentration of hyperscale data centers. The U.S. and Canada are experiencing growing enterprise demand for low-latency services, particularly in autonomous vehicles, smart manufacturing, and augmented reality. Leading tech giants such as Microsoft, AWS, and Google are deploying edge infrastructure to support next-gen applications. Cybersecurity concerns and the need for real-time analytics further push edge investments. Regulatory frameworks and corporate digital transformation strategies continue to strengthen the region’s dominance in edge computing innovations.
Key players in the market
Some of the key players profiled in the Edge Computing Market include Amazon Web Services (AWS), Microsoft, Google, Cisco Systems, Dell Technologies, Hewlett Packard Enterprise (HPE), Intel, NVIDIA, Advanced Micro Devices (AMD), EdgeConneX, Akamai Technologies, Juniper Networks, Cloudflare, ADLINK Technology, Advantech, Schneider Electric, Siemens and FogHorn Systems.
Key Developments:
In April 2025, Google announced the acquisition of Wiz, a cybersecurity firm. This acquisition strengthens Google’s edge and cloud security offerings, particularly in protecting AI models and data at the edge—critical for enterprise adoption of edge computing.
In May 2024, AWS entered a strategic collaboration with Mavenir to jointly develop cloud-native telecom solutions, including 5G, IMS, and RAN technologies. This partnership aims to accelerate innovation, reduce deployment complexity, and enhance scalability for global telecom operators.
In August 2023, AWS acquired Hercules Labs (also known as Fig), an infrastructure-testing startup. This acquisition reinforces AWS’s developer toolchain, enhancing end-to-end CI/CD pipelines and offering robust support for edge-focused DevOps workflows.
Components Covered:
• Hardware
• Software
• Services
Organization Sizes Covered:
• Large Enterprises
• Small and Medium-sized Enterprises (SMEs)
Deployment Modes Covered:
• On-Premises
• Cloud
• Hybrid
Technologies Covered:
• Fog Computing
• Mobile Edge Computing (MEC)
• Cloudlet
• Content Delivery Network (CDN)
End Users Covered:
• Energy & Utilities
• Healthcare
• Automotive
• Retail
• Smart Cities
• Transportation & Logistics
• Telecom
• Government & Defense
• Media & Entertainment
• Other End Users
Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa
What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements
Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances
Table of Contents
1 Executive Summary
2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions
3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 Technology Analysis
3.7 End User Analysis
3.8 Emerging Markets
3.9 Impact of Covid-19
4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry
5 Global Edge Computing Market, By Component
5.1 Introduction
5.2 Hardware
5.2.1 Sensors
5.2.2 Edge Nodes/Gateways
5.2.3 Routers
5.2.4 Industrial PCs
5.3 Software
5.3.1 Edge Data Management
5.3.2 Analytics & AI Software
5.3.3 Edge Security Software
5.4 Services
5.4.1 Consulting
5.4.2 Integration & Deployment
5.4.3 Support & Maintenance
5.4.4 Managed Services
6 Global Edge Computing Market, By Organization Size
6.1 Introduction
6.2 Large Enterprises
6.3 Small and Medium-sized Enterprises (SMEs)
7 Global Edge Computing Market, By Deployment Mode
7.1 Introduction
7.2 On-Premises
7.3 Cloud
7.4 Hybrid
8 Global Edge Computing Market, By Technology
8.1 Introduction
8.2 Fog Computing
8.3 Mobile Edge Computing (MEC)
8.4 Cloudlet
8.5 Content Delivery Network (CDN)
9 Global Edge Computing Market, By End User
9.1 Introduction
9.2 Energy & Utilities
9.3 Healthcare
9.4 Automotive
9.5 Retail
9.6 Smart Cities
9.7 Transportation & Logistics
9.8 Telecom
9.9 Government & Defense
9.10 Media & Entertainment
9.11 Other End Users
10 Global Edge Computing Market, By Geography
10.1 Introduction
10.2 North America
10.2.1 US
10.2.2 Canada
10.2.3 Mexico
10.3 Europe
10.3.1 Germany
10.3.2 UK
10.3.3 Italy
10.3.4 France
10.3.5 Spain
10.3.6 Rest of Europe
10.4 Asia Pacific
10.4.1 Japan
10.4.2 China
10.4.3 India
10.4.4 Australia
10.4.5 New Zealand
10.4.6 South Korea
10.4.7 Rest of Asia Pacific
10.5 South America
10.5.1 Argentina
10.5.2 Brazil
10.5.3 Chile
10.5.4 Rest of South America
10.6 Middle East & Africa
10.6.1 Saudi Arabia
10.6.2 UAE
10.6.3 Qatar
10.6.4 South Africa
10.6.5 Rest of Middle East & Africa
11 Key Developments
11.1 Agreements, Partnerships, Collaborations and Joint Ventures
11.2 Acquisitions & Mergers
11.3 New Product Launch
11.4 Expansions
11.5 Other Key Strategies
12 Company Profiling
12.1 Amazon Web Services (AWS)
12.2 Microsoft
12.3 Google
12.4 Cisco Systems
12.5 Dell Technologies
12.6 Hewlett Packard Enterprise (HPE)
12.7 Intel
12.8 NVIDIA
12.9 Advanced Micro Devices (AMD)
12.10 EdgeConneX
12.11 Akamai Technologies
12.12 Juniper Networks
12.13 Cloudflare
12.14 ADLINK Technology
12.15 Advantech
12.16 Schneider Electric
12.17 Siemens
12.18 FogHorn Systems
List of Tables
1 Global Edge Computing Market Outlook, By Region (2024-2032) ($MN)
2 Global Edge Computing Market Outlook, By Component (2024-2032) ($MN)
3 Global Edge Computing Market Outlook, By Hardware (2024-2032) ($MN)
4 Global Edge Computing Market Outlook, By Sensors (2024-2032) ($MN)
5 Global Edge Computing Market Outlook, By Edge Nodes/Gateways (2024-2032) ($MN)
6 Global Edge Computing Market Outlook, By Routers (2024-2032) ($MN)
7 Global Edge Computing Market Outlook, By Industrial PCs (2024-2032) ($MN)
8 Global Edge Computing Market Outlook, By Software (2024-2032) ($MN)
9 Global Edge Computing Market Outlook, By Edge Data Management (2024-2032) ($MN)
10 Global Edge Computing Market Outlook, By Analytics & AI Software (2024-2032) ($MN)
11 Global Edge Computing Market Outlook, By Edge Security Software (2024-2032) ($MN)
12 Global Edge Computing Market Outlook, By Services (2024-2032) ($MN)
13 Global Edge Computing Market Outlook, By Consulting (2024-2032) ($MN)
14 Global Edge Computing Market Outlook, By Integration & Deployment (2024-2032) ($MN)
15 Global Edge Computing Market Outlook, By Support & Maintenance (2024-2032) ($MN)
16 Global Edge Computing Market Outlook, By Managed Services (2024-2032) ($MN)
17 Global Edge Computing Market Outlook, By Organization Size (2024-2032) ($MN)
18 Global Edge Computing Market Outlook, By Large Enterprises (2024-2032) ($MN)
19 Global Edge Computing Market Outlook, By Small and Medium-sized Enterprises (SMEs) (2024-2032) ($MN)
20 Global Edge Computing Market Outlook, By Deployment Mode (2024-2032) ($MN)
21 Global Edge Computing Market Outlook, By On-Premises (2024-2032) ($MN)
22 Global Edge Computing Market Outlook, By Cloud (2024-2032) ($MN)
23 Global Edge Computing Market Outlook, By Hybrid (2024-2032) ($MN)
24 Global Edge Computing Market Outlook, By Technology (2024-2032) ($MN)
25 Global Edge Computing Market Outlook, By Fog Computing (2024-2032) ($MN)
26 Global Edge Computing Market Outlook, By Mobile Edge Computing (MEC) (2024-2032) ($MN)
27 Global Edge Computing Market Outlook, By Cloudlet (2024-2032) ($MN)
28 Global Edge Computing Market Outlook, By Content Delivery Network (CDN) (2024-2032) ($MN)
29 Global Edge Computing Market Outlook, By End User (2024-2032) ($MN)
30 Global Edge Computing Market Outlook, By Energy & Utilities (2024-2032) ($MN)
31 Global Edge Computing Market Outlook, By Healthcare (2024-2032) ($MN)
32 Global Edge Computing Market Outlook, By Automotive (2024-2032) ($MN)
33 Global Edge Computing Market Outlook, By Retail (2024-2032) ($MN)
34 Global Edge Computing Market Outlook, By Smart Cities (2024-2032) ($MN)
35 Global Edge Computing Market Outlook, By Transportation & Logistics (2024-2032) ($MN)
36 Global Edge Computing Market Outlook, By Telecom (2024-2032) ($MN)
37 Global Edge Computing Market Outlook, By Government & Defense (2024-2032) ($MN)
38 Global Edge Computing Market Outlook, By Media & Entertainment (2024-2032) ($MN)
39 Global Edge Computing Market Outlook, By Other End Users (2024-2032) ($MN)
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.
List of Figures
RESEARCH METHODOLOGY
We at ‘Stratistics’ opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.
Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.
Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.
Data Mining
The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.
Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.
Data Analysis
From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:
- Product Lifecycle Analysis
- Competitor analysis
- Risk analysis
- Porters Analysis
- PESTEL Analysis
- SWOT Analysis
The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.
Data Validation
The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.
We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.
The data validation involves the primary research from the industry experts belonging to:
- Leading Companies
- Suppliers & Distributors
- Manufacturers
- Consumers
- Industry/Strategic Consultants
Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.
For more details about research methodology, kindly write to us at info@strategymrc.com
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