PUBLISHER: QYResearch | PRODUCT CODE: 1862173
PUBLISHER: QYResearch | PRODUCT CODE: 1862173
The global market for Edge Computing in Manufacturing was estimated to be worth US$ 2758 million in 2024 and is forecast to a readjusted size of US$ 13461 million by 2031 with a CAGR of 24.5% during the forecast period 2025-2031.
Edge computing refers to the allocation of computing workloads to the "edges" of a network-to devices and resources closer to network endpoints than a centralized data center or cloud. In manufacturing industry, advances in edge computing mean that manufacturing is returning to a decentralized model. Rather than concentrate data processing in a single location, decentralized systems like edge computing take advantage of the compute and storage capacity extant at nodes throughout the network. This type of structure is "decentralized" because computing is done where there are available and sufficient resources. With decentralized systems, proximity is a leading determinant of where processing occurs.
The global manufacturing sector is moving toward smart factories under the Industry 4.0 paradigm. Edge computing is critical in enabling real-time monitoring, predictive analytics, and automated process control. By processing data locally, manufacturers can achieve greater operational efficiency, improved production quality, and enhanced equipment utilization, which drives adoption across industries.
Manufacturing processes often involve critical operations where milliseconds matter, such as automated assembly lines, robotics, and precision machining. Edge computing reduces latency by processing data on-site rather than relying solely on centralized cloud servers. This capability allows manufacturers to respond instantly to equipment anomalies, production deviations, or safety hazards, improving operational reliability.
Edge computing facilitates predictive maintenance by analyzing sensor data from machines in real time. By identifying early signs of equipment failure, manufacturers can schedule maintenance proactively, prevent unplanned downtime, extend machinery lifespan, and reduce repair costs. Predictive maintenance is a significant market driver, as downtime directly impacts production efficiency and profitability.
The proliferation of Industrial Internet of Things (IIoT) devices in factories, such as smart sensors, actuators, and controllers, generates large volumes of real-time data. Edge computing provides a solution for local data processing, aggregation, and analysis, reducing bandwidth requirements and enabling actionable insights without relying on remote cloud infrastructure. This integration is essential for modern manufacturing operations.
This report aims to provide a comprehensive presentation of the global market for Edge Computing in Manufacturing, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Edge Computing in Manufacturing by region & country, by Type, and by Application.
The Edge Computing in Manufacturing 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 in Manufacturing.
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 in Manufacturing 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 Manufacturing 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 Manufacturing 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.