市场调查报告书
商品编码
1284075
到 2028 年的雾网路市场预测 - 按组件、应用程序和地区划分的全球分析Fog Networking Market Forecasts to 2028 - Global Analysis By Component, Application and By Geography |
根据 Stratistics MRC 的数据,2022 年全球雾网路市场规模将达到 10.2 亿美元,预计到 2028 年将达到 27.8 亿美元,复合年增长率将达到 18.2%。
雾网路,通常称为雾网路,是一种计算平台,可扩展位于数据源和云之间的额外计算、存储和网路资源。 增强现实 (AR) 和物联网 (IoT) 会生成海量数据,将这些数据发送到云服务进行分析是不切实际的,而雾计算是终端用户设备之间的网路,可减少延迟。 业界广泛采用雾计算的概念,在加速数据传输的同时,将云资源整合到更靠近设备的位置。 雾计算试图满足低延迟需求、降低终端设备功耗、实时处理数据以及本地化数据计算资源。
据 IDC 称,到 2019 年,43% 的物联网数据将在到达数据中心之前在边缘进行处理,从而进一步推动雾计算和边缘计算。 看看物联网对 IT 基础设施的影响,451 Research 发现当今大多数组织都在边缘处理物联网工作负载以增强安全性、处理实时操作操作触发器以及存储和管理物联网数据。我们认为它可以减少传输要求。
在过去几年中,越来越多地使用雾计算解决方案来支持互联汽车的发展。 互联汽车之间以及互联汽车与接入点之间的交互和通信是广泛的。 雾计算作为为智能网联汽车(SCV)提供移动和位置感知、实时交互、低延迟和交通辅助等各种服务的平台具有最佳特性。 实时 AI 处理是虚拟现实的演变,大部分信息收集和处理都将通过相关手机、智能家居存储、云和其他连接设备进行。 雾架构通过智能位置层次结构帮助这些设备定位和分析数据。
雾计算使数据处理更靠近网路边缘,增加了潜在网路攻击的攻击面。 这可能难以确保网路安全和数据隐私。 雾计算需要不同硬件和软件组件之间进行大量协调,这可能会引入兼容性问题并增加复杂性。 雾计算是分散的,这使得扩展网路和有效管理资源变得困难。 结果,它可能导致性能和效率降低,这预计会阻碍雾计算市场的增长。
5G 技术的发展正在刺激具有最小延迟问题和可靠带宽性能的边缘计算数据架构的扩展。 万物互联 (IoE) 需要更快的数据分析和更快的响应时间,这也是推动雾计算市场的因素。 例如,富士通宣布与思科系统、微软、戴尔、ARM、英特尔和普林斯顿大学边缘实验室等领先科技公司建立合作伙伴关係,以加速雾计算关键技术的开发。
雾网路的正确执行需要在许多领域进行规划和专业知识。 由于新兴国家缺乏意识和经验丰富的人力,全球雾网路市场的收入增长受到极大阻碍。 引入它不仅需要了解技术本身,还需要了解其实施。 雾计算是一项复杂的技术,需要网路、安全和数据分析等领域的知识。 因此,很难找到具备必要技能和专业知识的人。
COVID-19 流行病影响了雾网路市场。 自冠状病毒爆发以来,几乎每个行业都转向自动化和数位化,越来越多的人在家工作。 因此,企业已将工作负载转移到云端以保持企业运行。 为了使公司即使在 COVID-19 之后也能有效运营,预计世界将在业务应用程序和客户支持服务的 IT 基础设施上投入大量资金。 数字化、云计算、机器学习和人工智能预计将在未来几年主导科技行业,投资者将在该领域制定长期投资策略。
雾计算平台是一个软件平台,提供各种服务和工具来支持雾计算应用程序的开发、部署和管理。 边缘分析软件可帮助组织根据实时数据做出更快、更明智的决策。 为运行在雾计算基础设施之上的雾计算基础设施提供安全和数据隐私特性,并为最终用户提供特定的功能或服务。 雾计算软件市场预计在未来几年仍将是最大的,因为越来越多的公司希望利用这项技术来改善他们的运营并增强他们的客户服务。 因此,技术创新和市场竞争将加剧,新的软件产品和服务将会出现以满足不断变化的客户需求,这可能会显着促进该行业的收入增长。
智能电錶是记录电能消耗并将其传输给供电电力公司的电子设备,预计会迅速增长。 世界各地的许多公用事业公司都计划部署智能电錶,以远程监控消费者的能源消耗并防止欺诈性能源消耗。 此外,智能能源和计量解决方案在企业和家庭中变得越来越普遍。 智能电錶收集的数据足以推断消费者行为、睡眠週期、家庭入住情况、饮食习惯等。 但要使其有意义,需要对数据进行实时分析。 家庭收集的数据可供各种组织使用。 例如,电力公司可以根据消耗的能源单位销售其产品和服务,雾联网 (IPM) 市场可以在整个预测期内扩大。
2021 年,全球市场在销售份额方面将由亚太地区主导,预计在预测期内这种主导地位将持续。 中国联通、NTT Docomo、SK Telecom 和 KT Corporation 等知名公司正在加紧投资以扩大其在该地区的网路。 这些努力旨在让客户能够访问高速互联网。 此外,亚太地区对移动数据服务的需求正在激增,预计这将在未来几年刺激该地区的市场扩张。 由于总部位于北美的公司是雾网路等技术的早期采用者,预计到 2021 年该地区将占全球行业份额的 20% 以上。
北美预计在预测期内增长强劲。 在北美,雾联网主要用于工业、商业和农业部门的昆虫问题的预防和控制。 它还用作工业、公共卫生和农业中经常使用的杀虫剂和除草剂的乳化剂,并用于控製家中的白蚁和蟑螂。 在北美,农用地膜可以控制杂草,屏幕可以驱除昆虫和鸟类,土壤蒸汽消毒可以抵抗疾病。 陷阱、屏障、栅栏、网和障碍物是北美雾网路中使用的额外工具。
2018 年 4 月,Amazon 开发了一项技术,通过 AWS Green grass 将机器学习的智能引入边缘计算。 最新版本 (v1.5.0) 允许您在基于 NVIDIA Jetson TX2 和 Intel Atom 架构的边缘设备上本地运行 Apache MXNet 和 Tensor Flow Lite 模型。
2016 年 6 月,思科发布了 IOx,这是一个雾计算应用支持平台,可为跨不同思科平台的不同类型的应用程序提供统一和一致的託管能力。
2016年4月,富士通宣布与微软、ARM、思科、戴尔、英特尔、普林斯顿大学边缘实验室组成联盟,加速雾计算核心技术的开发。
2016 年 3 月,Prismtec 发布了“Vortex 2.1”,这是一套最全面的物联网实时数据共享平台,也支持雾计算,名称为“Vortex Fog”。
According to Stratistics MRC, the Global Fog Networking Market is accounted for $1.02 billion in 2022 and is expected to reach $2.78 billion by 2028 growing at a CAGR of 18.2% during the forecast period. Fog Networking is a computing platform that extends additional computation, storage, and networking resources that are situated between the data source and the cloud, often referred to as fog networking. In the context of augmented reality (AR) and the internet of things (IoT), where a significant volume of data is generated and would be impractical to send to cloud services for analysis, fog computing offers reduced network latencies between end-user devices. Industry use of the fog computing concept is widespread since it speeds up data transmission while integrating cloud resources close to the devices. Fog computing attempts to meet low-latency needs, reduce end-device power consumption, process data in real-time, and localize computing resources for data.
According to IDC, 43 percent of all IoT data will be processed at the edge before being sent to a data centre by 2019, further boosting fog computing and edge computing. And when looking at the impact of IoT on IT infrastructure, 451 Research sees that most organizations today process IoT workloads at the edge to enhance security, process real-time operational action triggers, and reduce IoT data storage and transport requirements.
Over the past few years, there has been an increase in the use of fog computing solutions to support the development of connected cars. The interactions and communication between connected automobiles, as well as between connected cars and access points, are extensive. Fog computing enables a number of properties that make it the perfect platform for offering a variety of services for smart connected cars (SCV), including those for mobility and location awareness, real-time interactions, low latency, and traffic support. Real-time AI processing is a development of virtual reality, with the majority of information recovery and processing being sent to connected devices such as associated phones, smart home storage, and the cloud. Fog architecture helps these devices with intelligent location hierarchy to locate and analyze data.
As fog computing moves data processing closer to the edge of the network, it also increases the attack surface for potential cyber attacks. This can make it challenging to secure the network and ensure data privacy. Fog computing requires a significant amount of coordination between different hardware and software components, which may pose compatibility issues and increase complexity. The distributed nature of fog computing can make it difficult to scale the network and manage resources effectively. This can result in performance degradation and decreased efficiency, which are projected to impede the fog computing market's growth.
The development of 5G technology has fueled the expansion of edge computing data architectures with minimal latency problems and dependable bandwidth performance. The Internet of Everything (IoE) requires faster data analytics and quicker response times, which is another factor driving the market for fog computing. For instance, Fujitsu announced a partnership with leading technology companies like Cisco Systems, Microsoft, Dell, ARM, Intel, and the Princeton University Edge Laboratory in order to hasten the development of key technologies for fog computing.
Planning and expertise in a variety of sectors are necessary for the proper execution of Fog Networking. The global Fog Networking market's revenue growth is largely being held back by a lack of awareness and a shortage of experienced personnel in developing nations. Knowledge of the technique's implementation, not just the practice itself, is necessary for its adoption. Fog computing is a complex technology that requires knowledge in areas such as networking, security, and data analytics. This can make it challenging to find individuals who possess the necessary skills and expertise.
The COVID-19 pandemic epidemic had a impact on the Fog Networking Market. Since the Corona virus outbreak, nearly every industry has moved toward automation and digitization, and more individuals are working from home. As a result, organizations have relocated their workloads to the cloud to maintain corporate operations. In order for the firms to operate effectively after COVID-19, it is now anticipated that they will spend more on IT infrastructure for business applications and customer support services globally. Digitalization, cloud computing, machine learning, and artificial intelligence are predicted to take over the technology industry in the upcoming years, and investors are preparing long-term investment strategies in this field.
Fog computing platforms are software platforms that provide a range of services and tools to support the development, deployment, and management of fog computing applications. and Edge analytics software can help organizations make faster and more informed decisions based on real-time data. It provides security and data privacy features for fog computing infrastructure that runs on fog computing infrastructure and provides specific functionalities or services to end-users. The fog computing software market is expected to continue to be the largest in the coming years as more organizations seek to leverage this technology to improve their operations and enhance their offerings to customers. As such, there is likely to be increasing innovation and competition in the market, with new software products and services emerging to meet evolving customer needs, which could be a major contributor to this segment's revenue growth.
Smart meter to witness higher growth it is an electronic device that records the consumption of electrical energy units and communicates it to the power company from which the power is supplied. Many power companies across the world are planning to adopt smart meters to remotely monitor consumers' energy consumption and prevent fraudulent energy consumption. Moreover, smart energy and metering solutions are becoming more prevalent in both businesses and households. The data collected by smart meters is sufficient to draw inferences about the behavior, sleeping cycle, home occupancy, eating routines, etc. of the consumers. However, for it to make sense, the data needs to be analyzed in real-time. The data collected per household can be used by various organizations. For instance, an electric or power company can sell its products or services based on the energy units consumed, which will help the Fog Networking (IPM) market, expand throughout the forecast period.
In terms of revenue share, the Asia Pacific region dominated the global market in 2021, and it is anticipated that this dominance will last throughout the projected period. In order to expand their networks across this region, well-known companies, including China Unicom, NTT Docomo, SK Telecom, and KT Corporation, among others, have been boosting their investments. These initiatives are intended to give customers access to high-speed internet. Additionally, Asia Pacific has seen a sharp rise in demand for mobile data services, which is expected to fuel the expansion of the regional market over the coming years. Due to early adoption of technologies like fog networking among businesses headquartered in North America, the region will hold more than 20% of the global industry share in 2021.
During the forecast period, North America is anticipated to grow strongly. In North America, Fog Networking is mostly employed in the industrial, commercial, and agricultural sectors to prevent and control insect problems. In addition, it is employed as an emulsifier in pesticides and herbicides, which are frequently applied in industrial, public health, and agricultural settings as well as to eradicate termites and roaches in homes. North America uses agricultural mulch films to control weeds, as well as screens to keep insects and birds out and soil steam sterilization to fight disease. Traps, screens, fences, nets, and obstacles are additional tools used in Fog Networking in North America.
Some of the key players in Fog Networking market include ADLINK Technology Inc., Amazon Web Services, Inc., Arm Limited, Cisco Systems, Inc., Cradlepoint, Inc., Dell Technologies, Inc., Ericsson, FogHorn Systems., Fujitsu Ltd., General Electric Company, Hewlett-Packard (HP), IBM Corporation, Intel Corporation, Linksys, Nebbiolo Technologies, Inc., Nokia Corporation, Prism Tech, Qualcomm Corporation, Schneider Electric, Tata Consultancy Services Limited and Toshiba Corporation
In April 2018, Amazon developed a technology to bring machine learning smarts to edge computing, through AWS Green grass. The latest version (v1.5.0) can run Apache MXNet and Tensor Flow Lite models locally on edge devices based on NVIDIA Jetson TX2 and Intel Atom architectures.
In June 2016, Cisco released IOx, an application enablement platform that provides uniform and consistent hosting capabilities for various types of apps across various Cisco platforms in fog computing.
In April 2016, Fujitsu announced that it is working with Microsoft, ARM, Cisco, Dell, Intel, and the Princeton University Edge Laboratory to form a consortium that aims to speed up the development of core technologies for fog computing.
In March 2016, Prism Tech announced Vortex 2.1, a set of the most comprehensive, real-time data sharing platforms for IoT, which also support fog computing, with the name Vortex Fog.