市场调查报告书
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1610726
边缘分析市场规模、份额、成长分析、按类型、按组件、按部署、按应用、按最终用途、按地区 - 行业预测,2024-2031 年Edge Analytics Market Size, Share, Growth Analysis, By Type (Descriptive, Predictive), By Component, By Deployment, By Application, By End Use, By Region - Industry Forecast 2024-2031 |
2022年,边缘分析的全球市场规模为69亿美元,从2023年的93亿美元增长到2031年的602亿美元,预计在预测期内(2024-2031年)复合年增长率为26.3。 。
物联网 (IoT) 设备(包括感测器和连网型技术)的快速普及导致边缘产生的资料大幅爆炸。这一趋势正在推动市场成长,特别是透过边缘分析,边缘分析可以处理接近资料来源的资料,以实现快速洞察和快速决策。政府对资讯和通讯技术的投资不断增加,旨在发展智慧城市以实现基础设施现代化和增强服务交付的倡议进一步刺激了边缘分析市场。 5G网路的到来也至关重要,它提供高速连接,实现即时资料处理和低延迟,促进快速决策的能力。因此,各个行业都在利用物联网和先进的边缘分析来优化业务,并透过有效的资料驱动策略来推动业务扩张。
Global Edge Analytics Market size was valued at USD 6.9 billion in 2022 and is poised to grow from USD 9.3 billion in 2023 to USD 60.2 billion by 2031, growing at a CAGR of 26.3% during the forecast period (2024-2031).
The rapid proliferation of Internet of Things (IoT) devices, including sensors and connected technology, has led to a significant surge in edge-generated data. This trend is driving market growth, particularly through edge analytics, which processes data near its source for prompt insights and quick decision-making. Increased government investments in information and communication technology are further stimulating the edge analytics market, with initiatives aimed at developing smart cities to modernize infrastructure and enhance service delivery. The advent of 5G networks is also vital, providing high-speed connectivity that enables real-time data processing and low latency, facilitating rapid decision-making capabilities. Consequently, various industries are leveraging IoT and advanced edge analytics to optimize operations and foster business expansion through effective data-driven strategies.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Edge Analytics 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 Analytics Market Segmental Analysis
Global Edge Analytics Market is segmented by Type, Component, Deployment, Application, End Use and Region. Based on Type, the market is segmented into Descriptive, Diagnostic, Predictive, Prescriptive. Based on Component, the market is segmented into Software, Services. Based on Deployment, the market is segmented into On Premise, Cloud. Based on Application, the market is segmented into Marketing and Sales, Operations, Finance, Human Resource, Others. Based on End Use, the market is segmented into IT and Telecom, BFSI, Manufacturing, Healthcare, Retail, Transportation, Government, Energy and Power, Others. Based on Region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & and Africa.
Driver of the Global Edge Analytics Market
A key driver of the Global Edge Analytics market is the significant reduction in latency, which greatly enhances decision-making capabilities. Unlike conventional analytics solutions that rely on collecting and sending large volumes of data to centralized cloud servers or data centers for processing-an often time-consuming process, particularly with extensive data sets or in areas with unreliable internet connectivity-edge analytics enables immediate processing of data at its source. This capability not only accelerates data analysis but also supports more agile, real-time decision-making, making it highly valuable in applications where timely insights are critical.
Restraints in the Global Edge Analytics Market
One of the key constraints in the Global Edge Analytics market is the rising concerns surrounding data security and privacy. Unlike cloud computing, which can manage data within centralized, highly secure data centers, edge analytics performs data processing across numerous devices that often lack robust physical security. This decentralized nature of processing presents significant vulnerabilities, as devices such as sensors, smartphones, and Internet of Things (IoT) devices are particularly susceptible to cyberattacks. Consequently, ensuring the security of sensitive data is a major challenge for organizations adopting edge analytics solutions, potentially hindering market growth and widespread acceptance.
Market Trends of the Global Edge Analytics Market
The Global Edge Analytics market is experiencing robust growth, driven by significant advancements in edge computing hardware and software. Innovative edge devices such as smart gateways, routers, and specialized edge servers are now capable of processing large volumes of data and executing complex analytical tasks, fostering real-time decision-making. The ability for these devices to function effectively in harsh industrial and outdoor environments expands their applicability across diverse sectors, from manufacturing to agriculture. As industries increasingly prioritize data-driven strategies, the demand for sophisticated edge analytics solutions is set to rise, further solidifying its position as a critical component of modern technological frameworks.