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Edge Computing Market to Grow by USD 19.6 Billion from 2024-2028, Demand for Decentralized Computing Drives Growth, Report on How AI Redefines the Landscape – Technavio

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NEW YORK, Nov. 11, 2024 /PRNewswire/ — Report with market evolution powered by AI – The global edge computing market  size is estimated to grow by USD 19.6 billion from 2024-2028, according to Technavio. The market is estimated to grow at a CAGR of over 33.57%  during the forecast period. Rising demand for decentralized computing to reduce latency in decision making is driving market growth, with a trend towards deployment of industry 4.0 infrastructure. However, competition from low-cost centralized and general-purpose computing infrastructure  poses a challenge.Key market players include Aarna Networks Inc., Alphabet Inc., Amazon.com Inc., Arrow Electronics Inc., Capgemini Service SAS, Cisco Systems Inc., ClearBlade Inc., Dell Technologies Inc., EdgeConneX Inc., General Electric Co., Hewlett Packard Enterprise Co., Huawei Investment and Holding Co. Ltd., Intel Corp., International Business Machines Corp., Microsoft Corp., Nokia Corp., NVIDIA Corp., Renesas Electronics Corp., Schneider Electric SE, and Telefonaktiebolaget LM Ericsson.

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Forecast period

2024-2028

Base Year

2023

Historic Data

2018 – 2022

Segment Covered

End-user (Industrial manufacturing, Telecom, Mobility, Government, and Others), Component (Hardware, Software, Services, and Edge-managed platforms), and Geography (North America, Europe, APAC, South America, and Middle East and Africa)

Region Covered

North America, Europe, APAC, South America, and Middle East and Africa

Key companies profiled

Aarna Networks Inc., Alphabet Inc., Amazon.com Inc., Arrow Electronics Inc., Capgemini Service SAS, Cisco Systems Inc., ClearBlade Inc., Dell Technologies Inc., EdgeConneX Inc., General Electric Co., Hewlett Packard Enterprise Co., Huawei Investment and Holding Co. Ltd., Intel Corp., International Business Machines Corp., Microsoft Corp., Nokia Corp., NVIDIA Corp., Renesas Electronics Corp., Schneider Electric SE, and Telefonaktiebolaget LM Ericsson

Key Market Trends Fueling Growth

Edge computing is a trending IT infrastructure solution that brings data processing closer to the source of data generation. This approach is revolutionizing networking and software development, enabling traffic distribution and service management in various sectors. In healthcare, edge computing powers online consultations and telemedicine, while CDNs and network functions enhance 5G virtualization for game streaming and connected devices. AI edge computing also boosts artificial intelligence applications in healthcare, telecom firms, and manufacturing. Security and compliance are crucial, with edge computing adhering to industry standards. Cloud computing and Industry 4.0 strategies merge with edge computing in smart factories and grids. Digital health strategies, IoT in healthcare, and life sciences applications benefit from edge computing’s low latency and data processing capabilities. Recession or digital developments, edge computing remains flexible and scalable for organizations of all sizes, from small businesses to large enterprises. Edge computing hardware investments offer Capex and Opex savings, making it a cost-effective solution for IoT applications, robotics & automation, smart cities, oil & gas, and IT & telecom industries. 

The Industrial Revolution 4.0, also known as Industry 4.0, signifies the integration of connected automation systems and technologies in the industrial sector. This includes cyber-physical systems, Internet of Things (IoT) devices, cloud computing, and cognitive computing. The implementation of these technologies is predicted to influence the market for edge computing. Industry 4.0 adheres to several fundamental principles, such as machine interconnection, enabling machines and devices to communicate via IoT. Big data collection, gathering extensive data from sensors and instruments for valuable insights. Technical assistance, early problem identification and correction for increased machine uptime and efficiency. Lastly, decentralization, empowering systems to make autonomous decisions, reducing the need for human intervention. 

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Market Challenges

Edge computing is a growing market that enables data processing and analysis at the source of data generation, closer to the end-user. This approach addresses challenges in IT infrastructures, networking, software development, and traffic distribution for various industries. Healthcare systems, telecom firms, and CDNs benefit from reduced latency for online consultations, network functions, and 5G virtualization. Edge computing also supports game streaming, connected devices, artificial intelligence, and 5G technology in sectors like healthcare, government and defense, manufacturing, and IoT applications. However, edge computing presents new challenges, including security, compliance standards, and infrastructure investments. Capex and Opex for edge computing hardware, infrastructure, and software are crucial considerations for organizations of all sizes, from small businesses to large enterprises. Scalability and flexibility are essential to accommodate digital developments, such as AR and VR tools, IoT devices, and Industry 4.0 initiatives. Multi-CDN designs and network function virtualization are key to addressing service management and traffic distribution. The recession and supply chain disruptions may impact edge computing adoption, but the potential benefits far outweigh the costs. Edge computing is poised to revolutionize industries, from smart factories and smart grids to digital health strategies, life sciences applications, robotics & automation, and smart cities. The Oil & gas industry and IT & telecom industry are also expected to embrace edge computing to optimize their operations.The centralized computing infrastructure, consisting of cloud data centers, supercomputing facilities, and traditional data centers, serves as the backbone for numerous organizations’ global operations. These facilities offer computing and storage capabilities as a service to anywhere in the world, thanks to their virtual accessibility. Notably, many cloud server operators provide cost-effective services on a pay-as-you-go basis, posing a challenge to the expansion of the global edge computing market. This competitive marketplace, populated by various cloud server and data center operators, offers diverse pricing and volume options to cater to the unique requirements of end-users. Despite edge computing and cloud computing serving different purposes, the availability of affordable cloud services may limit the growth of the edge computing market to some extent during the forecast period.

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Segment Overview 

This edge computing market report extensively covers market segmentation by

End-user 1.1 Industrial manufacturing1.2 Telecom1.3 Mobility1.4 Government1.5 OthersComponent 2.1 Hardware2.2 Software2.3 Services2.4 Edge-managed platformsGeography 3.1 North America3.2 Europe3.3 APAC3.4 South America3.5 Middle East and Africa

1.1 Industrial manufacturing-  Edge computing plays a crucial role in the automation of industrial manufacturing and process environments, particularly in the context of the Industrial Internet of Things (IIoT), automation hardware, and connected sensors and actuators. Large-scale industrial facilities generate vast amounts of data that require real-time analysis and storage to detect anomalies, prevent machine or equipment failure, monitor system performance, and ensure quality control. Edge computing infrastructure is essential for these applications due to its ability to process data at the local node, reducing latency and improving overall efficiency. The digitalization and automation of manufacturing and process industries, driven by Industry 4.0 infrastructure and practices, are expected to fuel the growth of edge computing. For instance, offshore oil and gas production rigs, which often lack high-bandwidth connections to on-shore cloud computers, can benefit from edge computing architecture to collect and analyze production data and monitor critical processes. Strategic partnerships between vendors and end-users, such as Ford and Google’s six-year agreement on cloud services and the Android operating system, can also influence market growth. Edge computing is the foundation of industrial machine learning and AI networks, enabling faster identification of irregularities and minimizing inefficiencies in automated manufacturing processes. Additionally, edge computing enables local integration between factory data and enterprise resource planning (ERP) systems, reducing the need for constant cloud connectivity and improving system uptime. The increasing focus on event-driven manufacturing operations is driving investments in edge computing solutions to reduce IT costs and improve security, latency, innovation capability, and system integration.

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Research Analysis

Edge computing is a decentralized IT infrastructure solution that brings processing power and data storage closer to the source of data generation. This approach reduces latency and bandwidth requirements for transferring large amounts of data to the cloud. Networking plays a crucial role in edge computing by enabling efficient traffic distribution and service management. Software development for edge computing requires optimization for resource-constrained devices and low-latency processing. Video conferencing software, healthcare systems, telecom firms, and CDNs are among the industries leveraging edge computing for improved performance and user experience. Network functions like load balancing, firewalls, and VPNs are being virtualized at the edge to enhance security and compliance with industry standards. 5G virtualization and edge computing go hand in hand, enabling real-time processing of data from connected devices, such as those used in gaming, AR/VR tools, and smart factories. AI edge computing is also gaining traction in industries like healthcare, life sciences, and digital health strategies, where real-time analysis of data is essential. The recession and digital developments have accelerated the adoption of edge computing, as organizations seek to reduce reliance on cloud computing and improve their digital infrastructure. The convergence of 5G technology, AI, and IoT in edge computing is expected to drive significant growth in the coming years. However, security and compliance remain key challenges that need to be addressed to fully realize the potential of edge computing.

Market Research Overview

Edge computing is a decentralized IT infrastructure solution that brings computing power closer to the source of data generation. It leverages networking, software development, and traffic distribution to enable real-time data processing and service management. The healthcare system, telecom firms, CDNs, and various industries such as manufacturing, healthcare, life sciences, and smart cities are adopting edge computing to reduce latency, enhance security, and ensure compliance with industry standards. 5G virtualization, game streaming, connected devices, artificial intelligence, and 5G technology are driving the growth of edge computing. The recession and digital developments have accelerated the adoption of edge computing, particularly in small businesses and large enterprises, to optimize Capex and Opex. Edge computing hardware, including sensors and edge devices, is essential for scalability and flexibility. Multi-CDN designs, organization size, employee numbers, and industry-specific applications, such as IoT in healthcare, digital health strategies, and robotics & automation, influence the adoption of edge computing. The infrastructure investments required for edge computing vary depending on the industry and the specific use case. Security and compliance standards are critical considerations for edge computing, particularly in government and defense, oil & gas, and IT & telecom industries. The VOLTA data center, a leading edge computing provider, offers a comprehensive edge computing solution that addresses the unique requirements of various industries, ensuring optimal performance, security, and flexibility.

Table of Contents:

1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation

End-userIndustrial ManufacturingTelecomMobilityGovernmentOthersComponentHardwareSoftwareServicesEdge-managed PlatformsGeographyNorth AmericaEuropeAPACSouth AmericaMiddle East And Africa

7 Customer Landscape
8 Geographic Landscape
9 Drivers, Challenges, and Trends
10 Company Landscape
11 Company Analysis
12 Appendix

About Technavio

Technavio is a leading global technology research and advisory company. Their research and analysis focuses on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions.

With over 500 specialized analysts, Technavio’s report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio’s comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

Contacts

Technavio Research
Jesse Maida
Media & Marketing Executive
US: +1 844 364 1100
UK: +44 203 893 3200
Email: media@technavio.com
Website: www.technavio.com/

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ModelBest and OpenBMB Open-Source MiniCPM-OCR Series, Delivering High-Performance Document Parsing and AI-Powered Quality Control

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BEIJING, Oct. 31, 2026 /PRNewswire/ — ModelBest and OpenBMB jointly announced the release and open-source availability of the MiniCPM-OCR series, a family of models for efficient document parsing and parsing-quality assessment. The launch includes two models: MiniCPM-OCR 1.0 (1.3B) and MiniCPM-OCR Jev (2B).

As the first OCR-focused model in the MiniCPM family, MiniCPM-OCR 1.0 brings top-tier parsing accuracy to a compact 1.3-billion-parameter architecture optimized for edge deployment, pushing forward the balance between efficiency and performance for open-source OCR models. Built for real-world conditions, it accurately parses scanned, photographed, curved, tilted and screen-captured documents without cumbersome image pre-correction, lowering the barrier to large-scale document digitization.

The model handles dense bilingual Chinese-English content, complex mathematical formulas, and multi-level or borderless tables, consistently performing at a leading level across a broad range of mainstream industry evaluations. Beyond full-page reconstruction, it supports key information extraction (KIE), pulling specified fields from invoices, IDs and financial statements according to business instructions.

Powered by DSpark decoding acceleration, MiniCPM-OCR 1.0 significantly increases end-to-end throughput while lowering per-page latency. For enterprises processing millions of pages—such as financial contract archives, academic libraries and government records—this means processing far more documents with the same hardware and time budget, at a substantially lower computing cost.

To address the long-standing need for page-by-page manual review, ModelBest and OpenBMB also introduced MiniCPM-OCR Jev, the first OCR result decision model that acts as an “AI quality inspector.” Rather than performing OCR itself, Jev compares the source image with OCR output and rapidly assigns confidence scores to text, LaTeX formulas and tables, detecting missing characters, errors and formatting misalignments. Despite its compact 2B-parameter size, Jev delivers judgment accuracy typically associated with far larger models.

Jev supports cross-model deployment and can be integrated into existing OCR workflows without replacing the underlying OCR engine. It can automatically identify reliable results for direct processing, flag potentially inaccurate outputs for human review and select the best result from multiple OCR systems. This enables enterprises to move from full manual inspection toward risk-based, automated quality control.

The MiniCPM-OCR series is available on GitHub, Hugging Face and ModelScope, and supports vLLM, SGLang, llama.cpp and Ollama, along with SDKs, APIs, Agent Skill plugins and open-source fine-tuning code. Day-0 hardware adaptation covers AMD, Arm, Houmo AI, Intel and NVIDIA. Through the FlagOS software stack, it also has Day-0 support for AI and edge chips from CIX Technology, Huawei Ascend, Hygon, Iluvatar CoreX, Kunlunxin, MetaX, Moore Threads, Sunrise, T-Head, TsingMicro, NVIDIA and Apple Mac (Arm).

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SOURCE ModelBest

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Wulcea Elevates Consumer Trust in Heated Apparel Through Multi-National Safety Certifications and Rigorous Technical Testing

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NEW YORK, Oct. 31, 2026 /PRNewswire/ — As smart heated clothing gains broader adoption, consumers are paying closer attention to the safety and reliability of the technology behind these products. Wulcea, a brand specializing in graphene-powered heated apparel, combines its flexible GrapheneNano™ heating technology with documented safety compliance and durability testing for its heating components and battery systems.

“Trust in smart heated apparel goes beyond warmth—it comes down to confidence in battery safety and heating element reliability,” said John C, Founder of Wulcea. “Our goal is to give users peace of mind through certified technical standards.”

Advanced Graphene Heating Elements Supported by Global Standards

At the core of Wulcea’s thermal architecture is its GrapheneNano™ heating technology. Engineered to eliminate garment stiffness, Wulcea integrates flexible graphene elements that deliver balanced warmth across key upper-body zones while preserving natural garment drape and full freedom of movement.

Wulcea supports its heating components with applicable compliance documentation for major markets. These include CE and FCC compliance documentation addressing relevant electrical and electromagnetic compatibility requirements, as well as PSE compliance for applicable products in Japan. RoHS compliance further addresses restrictions on specified hazardous substances in applicable electrical and electronic components.

Multi-Certified Battery System for Dependable Power

To power its heating elements, Wulcea pairs its heated apparel with rechargeable battery systems designed for convenient everyday use. Featuring a compact design and housed in dedicated interior pockets, the batteries provide portable power while maintaining a streamlined garment profile and comfortable fit.

Wulcea backs its battery options with comprehensive third-party accreditations. UL certification demonstrates that the battery system has been evaluated against recognized power bank safety requirements, covering key areas such as overcharge protection, short-circuit protection, and thermal safety. The battery systems are also supported by applicable CE and FCC compliance documentation, addressing relevant regulatory requirements for electrical and electromagnetic compatibility.

For daily handling and travel, RoHS compliance validates that the battery system meets stringent global standards for material safety. The battery models have also undergone applicable UN 38.3 testing, supporting compliance with international requirements for lithium battery transportation.

Real-World Durability and Practical Usability

Component compliance forms Wulcea’s foundation, but reliability is defined by real-world performance. Built for high-flex endurance, Wulcea’s flexible graphene heating elements are tested through 10,000 active flexing cycles to maintain steady thermal output through repeated bending and everyday body movement.

Everyday convenience is equally essential. Built for hassle-free care, Wulcea’s heating elements withstand 100 machine-wash cycles under standard care guidelines, maintaining internal conductivity and structural stability under repeated laundering.

Integrated NTC temperature sensors provide thermal monitoring and are designed to stop heating if temperatures exceed 131°F (55°C). Combined with runtime of up to 10 hours on the low setting and a discreet interior control button, these features support practical everyday use in cold-weather conditions.

Aligning Technical Standards with Everyday Warmth

By combining graphene-based heating technology with documented battery safety compliance and durability testing, Wulcea continues to focus on the technical foundations of dependable heated apparel. This approach reflects the brand’s emphasis on bringing together safety considerations, practical functionality, and everyday comfort for cold-weather use.

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SOURCE Wulcea

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NIDS Co., Ltd. Confirms CES 2027 Participation, Pursues Expansion of Global Supply Chain for Environmental Sensors

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Company introduced optical and gas sensors at SEDEX and is strengthening its composite sensor business for robotics, home appliances, automotive, and smart building applications

SEOUL, South Korea, Oct. 31, 2026 /PRNewswire/ — Environmental sensor manufacturer NIDS Co., Ltd. has confirmed its participation in CES 2027 and is moving to expand its global business-to-business (B2B) supply chain. Building on its experience supplying sensors to domestic and international home appliance and automotive companies, the company aims to secure overseas customers and extend its applications into smart building HVAC and robotics.

NIDS recently participated in the Korea Semiconductor Industry Association’s Sensor Pavilion at SEDEX 2026, held at COEX in Seoul, where it introduced its next-generation sensor modules. The company said the exhibition allowed it to raise awareness of its technology among domestic home appliance and electronic component industry professionals and to lay the groundwork for collaboration in the sensor field.

The company will use CES 2027 as its next stage. NIDS plans to firm up discussions on sensor module supply with global home appliance makers, HVAC specialists, and robotics companies. It aims to extend the industry contacts gained at the domestic exhibition overseas and to convert product introductions into actual supply opportunities.

Founded in 2000, NIDS develops and manufactures environmental sensors and air quality management solutions. According to the company, it has supplied more than 10 million sensors cumulatively to domestic and international companies, including Dyson, Samsung Electronics, and Hyundai Motor. Drawing on this supply track record, the company intends to showcase its precision sensing technology and mass-production capabilities to overseas customers.

Its main products include particulate matter sensors, optical gas sensors based on non-dispersive infrared (NDIR) technology, composite environmental sensors, and electronic nose sensor modules. The particulate matter sensors measure PM1.0, PM2.5, and PM10, while the gas sensor lineup targets carbon dioxide (CO₂), carbon monoxide (CO), and other gases. The electronic nose is used for detecting everyday odors, gas leaks, and fires. The company said it designs the core components required for air quality measurement in-house and has a system in place to mass-produce 5 million units annually.

The area where NIDS will expand development and supply going forward is next-generation composite sensor modules. The company has been pursuing a sensor business that responds to industry-specific demand in home appliances, automotive, and smart building HVAC, and is now concentrating its capabilities on markets such as robotics, industrial safety, and odor detection based on this technology. Building on its experience supplying individual components, NIDS plans to continue developing and supplying, on a B2B basis, modules that handle multiple types of environmental data.

The company will also highlight its sensor product lineup and its newly developed ultra-compact MEMS sensor technology at the exhibition. NIDS plans to introduce its optical and gas sensor lineup along with examples of their application in actual air quality management systems. By explaining both the measurement functions of its components and its experience operating sensors for finished-product services, the company aims to broaden the scope of partnership discussions.

NIDS explained that, because it owns its precision sensors, it can control sensor sensitivity and tune algorithms to suit the system in which they are applied. Drawing on this technical operating experience, the company plans to pursue partnerships with customers and to promote its business capabilities extending from sensor components to air quality and odor management and industrial safety management.

NIDS will also leverage its existing branch network in its overseas market development. Through its overseas bases in the United States, Japan, and China, the company plans to widen its touchpoints with buyers and seek new supply opportunities in conjunction with its CES participation. Its goal is to generate export results by combining exhibition participation with its local networks.

The company intends to keep expanding the global supply of sensor components as a core pillar of its business. Building on the supply experience accumulated in home appliances and automotive, it will broaden its partners to robotics, HVAC, and smart buildings, and respond to industry-specific air quality measurement demand through the development of next-generation modules.

“We plan to continue expanding the development and B2B supply of next-generation composite sensor modules needed across a range of industries, including home appliances, automotive, and smart building HVAC,” NIDS said.

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SOURCE NIDS Co., Ltd.

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