市場調查報告書
商品編碼
1284075
到 2028 年的霧網路市場預測 - 按組件、應用程序和地區劃分的全球分析Fog Networking Market Forecasts to 2028 - Global Analysis By Component, Application and By Geography |
根據 Stratistics MRC 的數據,2022 年全球霧網路市場規模將達到 10.2 億美元,預計到 2028 年將達到 27.8 億美元,複合年增長率將達到 18.2%。
霧網路,通常稱為霧網路,是一種計算平台,可擴展位於數據源和雲之間的額外計算、存儲和網路資源。 增強現實 (AR) 和物聯網 (IoT) 會生成海量數據,將這些數據發送到雲服務進行分析是不切實際的,而霧計算是終端用戶設備之間的網路,可減少延遲。 業界廣泛採用霧計算的概念,在加速數據傳輸的同時,將雲資源整合到更靠近設備的位置。 霧計算試圖滿足低延遲需求、降低終端設備功耗、實時處理數據以及本地化數據計算資源。
據 IDC 稱,到 2019 年,43% 的物聯網數據將在到達數據中心之前在邊緣進行處理,從而進一步推動霧計算和邊緣計算。 看看物聯網對 IT 基礎設施的影響,451 Research 發現當今大多數組織都在邊緣處理物聯網工作負載以增強安全性、處理實時操作操作觸發器以及存儲和管理物聯網數據。我們認為它可以減少傳輸要求。
在過去幾年中,越來越多地使用霧計算解決方案來支持互聯汽車的發展。 互聯汽車之間以及互聯汽車與接入點之間的交互和通信是廣泛的。 霧計算作為為智能網聯汽車(SCV)提供移動和位置感知、實時交互、低延遲和交通輔助等各種服務的平台具有最佳特性。 實時 AI 處理是虛擬現實的演變,大部分信息收集和處理都將通過相關手機、智能家居存儲、雲和其他連接設備進行。 霧架構通過智能位置層次結構幫助這些設備定位和分析數據。
霧計算使數據處理更靠近網路邊緣,增加了潛在網路攻擊的攻擊面。 這可能難以確保網路安全和數據隱私。 霧計算需要不同硬件和軟件組件之間進行大量協調,這可能會引入兼容性問題並增加複雜性。 霧計算是分散的,這使得擴展網路和有效管理資源變得困難。 結果,它可能導致性能和效率降低,這預計會阻礙霧計算市場的增長。
5G 技術的發展正在刺激具有最小延遲問題和可靠帶寬性能的邊緣計算數據架構的擴展。 萬物互聯 (IoE) 需要更快的數據分析和更快的響應時間,這也是推動霧計算市場的因素。 例如,富士通宣布與思科系統、微軟、戴爾、ARM、英特爾和普林斯頓大學邊緣實驗室等領先科技公司建立合作夥伴關係,以加速霧計算關鍵技術的開發。
霧網路的正確執行需要在許多領域進行規劃和專業知識。 由於新興國家缺乏意識和經驗豐富的人力,全球霧網路市場的收入增長受到極大阻礙。 引入它不僅需要了解技術本身,還需要了解其實施。 霧計算是一項複雜的技術,需要網路、安全和數據分析等領域的知識。 因此,很難找到具備必要技能和專業知識的人。
COVID-19 流行病影響了霧網路市場。 自冠狀病毒爆發以來,幾乎每個行業都轉向自動化和數位化,越來越多的人在家工作。 因此,企業已將工作負載轉移到雲端以保持企業運行。 為了使公司即使在 COVID-19 之後也能有效運營,預計世界將在業務應用程序和客戶支持服務的 IT 基礎設施上投入大量資金。 數字化、雲計算、機器學習和人工智能預計將在未來幾年主導科技行業,投資者將在該領域制定長期投資策略。
霧計算平台是一個軟件平台,提供各種服務和工具來支持霧計算應用程序的開發、部署和管理。 邊緣分析軟件可幫助組織根據實時數據做出更快、更明智的決策。 為運行在霧計算基礎設施之上的霧計算基礎設施提供安全和數據隱私特性,並為最終用戶提供特定的功能或服務。 霧計算軟件市場預計在未來幾年仍將是最大的,因為越來越多的公司希望利用這項技術來改善他們的運營並增強他們的客戶服務。 因此,技術創新和市場競爭將加劇,新的軟件產品和服務將會出現以滿足不斷變化的客戶需求,這可能會顯著促進該行業的收入增長。
智能電錶是記錄電能消耗並將其傳輸給供電電力公司的電子設備,預計會迅速增長。 世界各地的許多公用事業公司都計劃部署智能電錶,以遠程監控消費者的能源消耗並防止欺詐性能源消耗。 此外,智能能源和計量解決方案在企業和家庭中變得越來越普遍。 智能電錶收集的數據足以推斷消費者行為、睡眠週期、家庭入住情況、飲食習慣等。 但要使其有意義,需要對數據進行實時分析。 家庭收集的數據可供各種組織使用。 例如,電力公司可以根據消耗的能源單位銷售其產品和服務,霧聯網 (IPM) 市場可以在整個預測期內擴大。
2021 年,全球市場在銷售份額方面將由亞太地區主導,預計在預測期內這種主導地位將持續。 中國聯通、NTT Docomo、SK Telecom 和 KT Corporation 等知名公司正在加緊投資以擴大其在該地區的網路。 這些努力旨在讓客戶能夠訪問高速互聯網。 此外,亞太地區對移動數據服務的需求正在激增,預計這將在未來幾年刺激該地區的市場擴張。 由於總部位於北美的公司是霧網路等技術的早期採用者,預計到 2021 年該地區將佔全球行業份額的 20% 以上。
北美預計在預測期內增長強勁。 在北美,霧聯網主要用於工業、商業和農業部門的昆蟲問題的預防和控制。 它還用作工業、公共衛生和農業中經常使用的殺蟲劑和除草劑的乳化劑,並用於控製家中的白蟻和蟑螂。 在北美,農用地膜可以控制雜草,屏幕可以驅除昆蟲和鳥類,土壤蒸汽消毒可以抵抗疾病。 陷阱、屏障、柵欄、網和障礙物是北美霧網路中使用的額外工具。
2018 年 4 月,Amazon 開發了一項技術,通過 AWS Green grass 將機器學習的智能引入邊緣計算。 最新版本 (v1.5.0) 允許您在基於 NVIDIA Jetson TX2 和 Intel Atom 架構的邊緣設備上本地運行 Apache MXNet 和 Tensor Flow Lite 模型。
2016 年 6 月,思科發布了 IOx,這是一個霧計算應用支持平台,可為跨不同思科平台的不同類型的應用程序提供統一和一致的託管能力。
2016年4月,富士通宣布與微軟、ARM、思科、戴爾、英特爾、普林斯頓大學邊緣實驗室組成聯盟,加速霧計算核心技術的開發。
2016 年 3 月,Prismtec 發布了“Vortex 2.1”,這是一套最全面的物聯網實時數據共享平台,也支持霧計算,名稱為“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.