市场调查报告书
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1335607
雾网路全球市场规模、份额、产业趋势分析报告:按应用、按组件(硬体、软体、服务)、按地区分類的展望和预测,2023-2030 年Global Fog Networking Market Size, Share & Industry Trends Analysis Report By Application, By Component (Hardware, Software, and Services), By Regional Outlook and Forecast, 2023 - 2030 |
2030年,雾网路市场规模预计将达28亿美元,预测期内年复合成长率年增长率为38.7%。
然而,部署雾运算(将云端运算能力引入网路外围)持有资料分析、网路和资料安全等领域的特定技能和资讯。由于雾计算仍然是一个相对年轻且发展中的行业,因此缺乏具有该领域经验的专家。因此,透过培训计划和教育活动解决人才缺口对于释放雾网络的真正潜力并推动其商业性扩张至关重要。这可以透过解决技能差距来实现。
应用前景
按应用划分,市场分为智慧製造、互联医疗、智慧能源、楼宇和家庭自动化、运输和物流等。到 2022 年,运输和物流领域将在市场中占据重要的收入份额。这是因为交通运输和物流部门正在经历大规模的数位,利用雾联网技术来提高整体效率,优化供应链管理,并加快物流运作。
组件展望
根据组件,市场分为硬体、软体和服务。 2022 年,硬体细分市场收入份额最高。这可能是由于雾网路工具和设备的使用越来越多,包括边缘伺服器、路由器、网关和感测器。雾运算所需的连接、资料处理和通讯是由硬体组件实现的。
区域展望
从区域来看,我们对北美、欧洲、亚太地区和拉丁美洲地区的市场进行了分析。北美地区在 2022 年以最大的收入份额主导市场。这是由于该地区技术先进的环境以及对创新和早期采用开发技术的高度重视。随着北美企业认识到雾网路在改善即时资料处理、降低延迟和整体网路效率方面的潜力,雾运算解决方案的采用将扩大并进一步加速该地区的发展。我是。
The Global Fog Networking Market size is expected to reach $2.8 billion by 2030, rising at a market growth of 38.7% CAGR during the forecast period.
Fog networking may be used in the context of linked healthcare to get around some drawbacks and difficulties in conventional cloud-based systems. Therefore, the connected healthcare segment would register approximately 1/5th share of the market by 2023. By leveraging local network resources, fog networking may increase the dependability and resilience of healthcare systems. Moreover, there are a lot of prospects for fog computing adoption in the APAC region due to its large population and growing urbanization, notably in industries like smart cities, transportation, manufacturing, and healthcare. The APAC region captured $59,485.1 million revenue in 2022. In order to improve operational efficiency, take advantage of real-time data analytics, and meet the rising demand for connected devices and IoT applications, businesses in the Asia-Pacific region are progressively using fog networking solutions. Some of the factors impacting the market are incorporation of new technology in the integration, improvements to the edge computing infrastructure, and Professional and skill gaps.
Effective and decentralized data processing at the network edge becomes critical as new technologies like the Internet of Things (IoT), edge computing, and artificial intelligence (AI) evolve. To open up even more possibilities, fog networking may be integrated with other cutting-edge technologies like 5G networks, machine learning, and blockchain. Ultra-low latency applications, for instance, are made possible by combining fog computing with 5G. In contrast, AI and machine learning at the edge make real-time data analysis and decision-making possible. Moreover, Fog computing is a distributed computing paradigm that moves computation and data storage closer to the network's edge. It has gained traction due to the explosive growth of Internet of Things (IoT) devices and the demand for real-time data processing. Edge computing infrastructure improvements have certainly played an essential part in driving the market. Edge computing reduces latency and enables quicker reaction times by processing and analyzing data closer to the devices that generated it. Consequently, the integration of developing technologies with the market and Edge computing infrastructure improvements expected to have a significant positive impact on innovation and the development of a more intelligent and linked digital environment.
However, the implementation of fog computing, which involves bringing the capabilities of cloud computing to the periphery of a network, calls for the possession of specific skills and information in fields such as data analytics, networking, and data security. As a result of the fact that fog computing is still a relatively young and developing industry, there is a shortage of experts who have experience in this area. Therefore, tackling the talent gap through training programs and educational activities is essential to unleashing the true potential of fog networking and driving its commercial expansion. This can be accomplished by addressing the skill gap.
Application Outlook
On the basis of application, the market is categorized into smart manufacturing, connected healthcare, smart energy, building & home automation, transportation & logistics, and others. The transportation & logistics segment covered a considerable revenue share in the market in 2022. This is since the transportation and logistics sector is undergoing a sizeable digital transition and using fog networking technologies to increase overall efficiency, optimize supply chain management, and expedite logistical operations.
Component Outlook
Based on component, the market is segmented into hardware, software, and service. The hardware segment registered the highest revenue share in the market in 2022. This may be due to the growing use of fog networking tools and apparatus, including edge servers, routers, gateways, and sensors. The connection, data processing, and communication necessary for fog computing are made possible by the hardware components.
Regional Outlook
Region wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The North America region dominated the market with the maximum revenue share in 2022. This is explained by the region's technologically sophisticated environment, which greatly focuses on innovation and the early adoption of developing technology. Due to enterprises in North America realizing the potential of fog networks to provide real-time data processing, lower latency, and increase overall network efficiency, this has opened up a broad range for the adoption of fog computing solutions, further increasing the region's development.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Cisco Systems, Inc., IBM Corporation, Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.), Google LLC (Alphabet Inc.), Microsoft Corporation, Fujitsu Limited, Dell Technologies, Inc., Intel Corporation, Amazon Web Services, Inc. (Amazon.com, Inc.) and Arista Networks, Inc.
Strategies Deployed in Fog Networking Market
Jun-2023: Google Cloud, a subsidiary of Google LLC, came into collaboration with T-Mobile, an American wireless network operator. This collaboration, aimed to integrate T-Mobile's Advanced Network Solutions with Google Distributed Cloud Edge, government and company customers would be more accordingly equipped to expand true-to-form 5G applications.
Mar-2023: Amazon Web Services, Inc., a subsidiary of Amazon.com, Inc, made enhancements in the hardware development of test kits by launching applications. Through this product, expansion, the company would allow third-party organizations to verify the Sidewalk network and prototype products that would benefit from it.
Feb-2023: Microsoft collaborated with Infosys; an Information Technology company based in India. This collaboration helps boost enterprise cloud transformation journeys globally. The alliance would benefit enterprises by bringing the best of Infosys Cobalt's cloud portfolio and Microsoft's cloud computing technologies.
Jan-2023: Microsoft Corporation completed the acquisition of Fungible, a developer of composable infrastructure for accelerating the company's data center network and storage performance. The acquisition would enable the company to enhance its broad range of technologies and offerings in offloading, improving latency, increasing system density in data centers, and reducing expenses.
Dec-2022: Fujitsu Limited introduced a broad area of GPU computing resource services to support the AI Bridging Cloud Infrastructure, the world's biggest computational infrastructure for AI processing. The product portfolio was launched to support reducing the hurdle to access modern computing and software technologies.
May-2022: Intel Corporation rolled out Intel's Habana Gaudi 2 AI processor and 12th Gen Intel® Core™ HX processors. The launched products would support training data center workloads and be perfect for hybrid work.
Feb-2022: Microsoft Corporation joined hands with Qualcomm Technologies, an American company that creates semiconductors, software, and services related to wireless technology. Through this collaboration, the company aimed at simplifying the deployment and management of intelligent 5G edges for a broad range of industries and use cases. Additionally, it would lower the operating costs and adopt barriers for high-speed 5G connectivity solutions for global enterprises.
Oct-2021: Google LLC rolled out Google Distributed Cloud, an offering of solutions including software and hardware. This launch would further expand the company's infrastructure to the edge and within customer data centers.
Jul-2021: Microsoft Corporation expanded its partnership with NEC Corporation, a developer of telecommunications equipment and related software and services, to support organizations' customers and public sectors in augmenting the growth rate of cloud embracement and digital transformation. With this expansion, unifying the power of Microsoft Azure, and Microsoft 365 with NEC's network and IT capabilities would empower Microsoft to help industries and businesses' customers through workplace and workforce transformation.
Jun-2021: IBM collaborated with GK Software, a cloud services vendor. Under this collaboration, the companies aimed to accelerate advanced and cutting-edge retail built over the hybrid cloud technology from Red Hat and IBM. Moreover, this collaboration would also help businesses quickly innovate and adopt the digital era.
Mar-2019: Intel introduced 58GBPS FPGA Transceiver which enables 400G Ethernet deployment to strengthen its networking solutions.
Feb-2019: Cisco acquired Singularity Networks, a network infrastructure analytics company, which offers network monitoring and analytics solutions for service provider networks and complex enterprise networks. Cisco will combine its Crosswork Network Automation portfolio with Singularity Networks analytics platform capabilities with the aim of delivering analysis functionality at scale.
Market Segments covered in the Report:
By Application
By Component
By Geography
Companies Profiled
Unique Offerings from KBV Research
List of Figures