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市场调查报告书
商品编码
1677941
边缘运算市场规模、份额及成长分析(按组件、组织规模、应用、最终用户和地区)-2025 年至 2032 年产业预测Edge Computing Market Size, Share, and Growth Analysis, By Component (Hardware, Software), By Organization Size (Small & Medium Enterprise, Large Enterprise), By Application, By End User, By Region - Industry Forecast 2025-2032 |
2023 年全球边缘运算市场规模为 268 亿美元,预计将从 2024 年的 362.9 亿美元成长到 2032 年的 4099.2 亿美元,预测期内(2025-2032 年)的复合年增长率为 35.4%。
物联网的快速普及对云端基础设施产生了巨大的需求,推动了边缘运算市场的成长。新冠疫情进一步加速了这一趋势,刺激了对边缘运算和资料中心的投资增加。医疗保健领域的进步,例如政府加强通讯基础设施的倡议和需要特别安全和快速连接的线上咨询的增加,也在推动市场扩张。此外,电信业正在采用边缘运算,创造更多机会。公司之间的合作正在促进技术进步和服务交付。特别是F-35战斗机等应用展示了边缘运算的威力。然而,挑战依然存在,例如保护资料隐私和安全,以及管理分布在不同位置的边缘基础设施。
Global Edge Computing Market size was valued at USD 26.8 billion in 2023 and is poised to grow from USD 36.29 billion in 2024 to USD 409.92 billion by 2032, growing at a CAGR of 35.4% during the forecast period (2025-2032).
The rapid adoption of IoT is placing significant demands on cloud infrastructures, catalyzing growth in the edge computing market. This trend has been further accelerated by the COVID-19 pandemic, which spurred increased investments in edge computing and data centers. Government initiatives to enhance communication infrastructure and advancements in healthcare, particularly the rise of online consultations necessitating secure, high-speed connectivity, are also propelling market expansion. Additionally, the telecom sector's growing embrace of edge computing presents further opportunities. Collaboration among companies is enhancing technological advancements and service offerings. Notably, applications like the F-35 combat aircraft showcase edge computing's capabilities. However, challenges persist, including safeguarding data privacy and security, as well as managing distributed edge infrastructure across diverse locations.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Edge Computing market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Edge Computing Market Segments Analysis
Global Edge Computing Market is segmented by Component, Organization Size, Application, End User and region. Based on Component, the market is segmented into Hardware, Software, Services and Edge-Managed Platform. Based on Organization Size, the market is segmented into Small & Medium Enterprise and Large Enterprise. Based on Application, the market is segmented into Industrial Internet of Things (IIoT), Remote Monitoring, Content Delivery, Video Analytics, AR/VR, Connected Cars, Smart Grids, Critical Infrastructure Monitoring, Traffic Management, Assets Tracking, Security & Surveillance, Smart Cities and Others. Based on End User, the market is segmented into Energy & Utilities, Healthcare, Agriculture, Industrial, Transportation & Logistics, Retail, Data Centers, Wearables, Government & Public Sector, Media & Entertainment, Manufacturing, Telecom & IT and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Global Edge Computing Market
The Global Edge Computing market is being propelled by the rising need for low-latency data processing solutions across various sectors, including manufacturing and healthcare. These industries require seamless and immediate access to data to enhance operational efficiency and facilitate accurate decision-making. The continuous surge in demand for swift data processing capabilities and real-time analytics is further fueling the growth of edge computing systems. As organizations increasingly recognize the value of timely data insights to optimize their operations, the need for innovative edge solutions is expected to escalate, driving the market forward into the foreseeable future.
Restraints in the Global Edge Computing Market
The Global Edge Computing market faces significant challenges due to the substantial costs associated with the development of solar power plants. These expenses encompass land acquisition, engineering, construction, and various related elements, creating a considerable financial burden. For manufacturers in regions with restricted access to funding, this high level of investment can serve as a formidable barrier, hindering their ability to participate in the market effectively. As a result, such financial constraints may impede the overall growth and expansion of the market, limiting opportunities for advancement and innovation in the sector.
Market Trends of the Global Edge Computing Market
The Global Edge Computing market is witnessing remarkable growth, driven largely by the telecommunication sector's strategic upgrade to 5G infrastructure. As telecommunications integrate 5G and IoT technologies, the demand for edge computing resources is surging, enabling efficient data processing closer to the source. This shift is not only boosting connectivity but also significantly reducing latency for end users, thereby facilitating enhanced services like real-time data management. Telecom operators are increasingly investing in edge computing solutions to innovate and improve user experiences, marking a pivotal moment in the industry. The convergence of 5G, IoT, and edge computing is poised to transform the telecommunications landscape, creating a ripple effect across multiple sectors.