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Edge Computing Technology Market Size Projected to Garner USD 244.9 Billion by 2032 growing at 33.7% CAGR - Exclusive Report by Acumen Research and Consulting

28 Jul 2024
Acumen Research and Consulting

The Global Edge Computing Technology Market Size is predicted to reach USD 244.9 Billion by 2032 from USD 13.8 Billion in 2022, at a CAGR of 33.7% between 2023 and 2032, as per the Acumen Research and Consulting

In recent years, edge computing has experienced significant growth and adoption, transforming the way data is processed and managed in the digital landscape. Edge computing involves processing data closer to the source of generation, reducing latency and improving real-time decision-making capabilities. This approach is particularly crucial in the era of the Internet of Things (IoT), where a massive number of devices generate vast amounts of data that need to be processed rapidly.

One driving force behind the growth of edge computing is the increasing demand for low-latency applications in various industries, such as healthcare, manufacturing, and autonomous vehicles. Edge computing enables these applications to operate with minimal delay, enhancing user experience and enabling mission-critical functionalities. Additionally, the rise of 5G networks has further accelerated the adoption of edge computing by providing the high-speed, low-latency connectivity required for seamless data transfer between devices and edge computing nodes. As edge computing continues to mature, it is likely to play a pivotal role in the development of advanced technologies like augmented reality, artificial intelligence, and smart cities.

Edge Computing Technology Market Analysis

Edge Computing Technology Market Statistics

  • Global Edge Computing Technology Market value was worth USD 13.8 Billion in 2022, with a 33.7% CAGR from 2023 to 2032
  • North America Edge Computing Technology Market share occupied around 39% in 2022
  • By application, the IIoT segment captured the majority share of the market in 2022
  • By industry verticals, the manufacturing segment is expected to show noticeable growth during the predicted period
  • Escalating adoption of edge computing in autonomous vehicles for real-time decision-making, propel the Edge Computing Technology Market revenue

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Edge Computing Technology Market Trends

The edge computing technology market has been experiencing robust growth in recent years, driven by the increasing adoption of IoT devices, the proliferation of data-intensive applications, and the demand for low-latency processing. The market is characterized by a surge in investments from various industries, including telecommunications, healthcare, manufacturing, and transportation. Edge computing's ability to process data closer to the source, reducing latency and improving overall system performance, has positioned it as a critical enabler for emerging technologies such as autonomous vehicles, smart cities, and Industry 4.0.

The demand for edge computing solutions is fueled by the rising volume of data generated at the edge, where devices and sensors are deployed. This shift towards decentralized data processing is evident in the expansion of edge computing infrastructure, including edge servers, gateways, and edge computing platforms. As organizations recognize the strategic importance of edge computing in enhancing operational efficiency and enabling real-time decision-making, the market is expected to continue its growth trajectory. The integration of edge computing with 5G networks is also contributing to the Edge Computing Technology Market growth, as the combination of high-speed, low-latency connectivity and edge processing capabilities opens up new possibilities for innovative applications and services. As industries strive to harness the full potential of edge computing, the market is poised for sustained growth in the coming years.

Edge Computing Technology Market Segmentation

Acumen Research and Consulting has segmented the global Edge Computing Technology Market by component, application, industry verticals, and region.

  • By component, the industry is categorized into hardware (sensors, nodes, and others), software, and service (support & maintenance, and training & education).
  • By application, the market is divided into IIoT, content delivery, remote monitoring, AR/VR, video analytics, and others.
  • By industry verticals, the market is bifurcated into BFSI, IT &telecom, utility, manufacturing, retail, healthcare, government, and others.
  • By region, the market is classified into Asia-Pacific, Latin America, North America, Europe, and the MEA.

Edge Computing Technology Market Regional Overview

According to the edge computing technology industry analysis, the Asia-Pacific region has emerged as a significant growth driver in the edge computing technology market, showcasing rapid adoption and deployment across various industries. A key factor contributing to this growth is the region's dynamic technological landscape and the increasing digital transformation efforts by businesses. With a large and diverse market, countries in the Asia-Pacific region are leveraging edge computing to address the unique challenges and opportunities presented by their evolving digital ecosystems. Several countries in Asia-Pacific are witnessing a surge in IoT devices and applications, ranging from smart manufacturing in China to smart city initiatives in Singapore and India. The need for low-latency processing and real-time analytics is driving organizations to invest in edge computing infrastructure to meet the demands of these data-intensive applications. Additionally, the rollout of 5G networks across the region is further fueling the growth of edge computing, as the high-speed, low-latency capabilities of 5G complement the decentralized processing model of edge computing, enabling faster and more efficient data processing.

Edge Computing Technology Market Players

Some of the prominent Edge Computing Technology Market companies are Amazon Web Services (AWS), Inc., Siemens AG, ABB, General Electric Company, IBM Corporation, Huawei Technologies Co., Ltd., Cisco Systems, Inc., Honeywell International Inc., Microsoft Corporation, SAP SE, Rockwell Automation, Inc, and Intel Corporation.

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