PUBLISHER: QYResearch | PRODUCT CODE: 1862164
PUBLISHER: QYResearch | PRODUCT CODE: 1862164
The global market for Edge Computing was estimated to be worth US$ 14100 million in 2024 and is forecast to a readjusted size of US$ 61283 million by 2031 with a CAGR of 22.6% during the forecast period 2025-2031.
Edge computing is a distributed computing framework that brings enterprise applications closer to data sources such as IoT devices or local edge servers. This proximity to data at its source can deliver strong business benefits, including faster insights, improved response times and better bandwidth availability.
The explosive growth and increasing computing power of IoT devices has resulted in massive volumes of data. And data volumes continue to grow as 5G networks increase the number of connected mobile devices.
In the past, the promise of cloud and AI was to automate and speed up innovation by driving actionable insight from data. But connected devices create data at an extraordinary scale and complexity, outpacing network and infrastructure capabilities.
One of the primary drivers of edge computing adoption is the need for low-latency processing in applications such as autonomous vehicles, industrial automation, smart healthcare, and IoT systems. By processing data locally instead of relying solely on centralized cloud servers, edge computing minimizes latency, ensuring faster response times for mission-critical applications.
The rapid growth of IoT devices across industries-including manufacturing, transportation, healthcare, and smart cities-is generating massive volumes of data. Edge computing provides a solution for handling this data explosion efficiently by processing information locally, reducing the bandwidth burden on cloud networks, and supporting real-time analytics for operational efficiency and predictive decision-making.
With increasing concerns about data security, privacy, and regulatory compliance, organizations are seeking solutions that limit the transmission of sensitive data to centralized cloud servers. Edge computing allows local processing of sensitive data, reducing exposure to cyberattacks, ensuring compliance with data sovereignty regulations, and enhancing overall cybersecurity.
Edge computing is a key enabler for AI and ML applications at the edge, allowing real-time data analytics and decision-making without relying on cloud-based computation. Applications such as predictive maintenance, facial recognition, autonomous robotics, and real-time monitoring benefit from low-latency AI processing at the edge, driving adoption across industrial, healthcare, and consumer markets.
This report aims to provide a comprehensive presentation of the global market for Edge Computing, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Edge Computing by region & country, by Type, and by Application.
The Edge Computing market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Edge Computing.
Market Segmentation
By Company
Segment by Type
Segment by Application
By Region
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Edge Computing company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of Edge Computing in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Edge Computing in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.