市场调查报告书
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2024-2032 年按组件、部署模型、应用程式和区域分類的雾运算市场报告Fog Computing Market Report by Component, Deployment Models, Application, and Region 2024-2032 |
2023年全球雾运算IMARC Group规模达1.968亿美元。各种因素,例如越来越多地采用物联网 (IoT) 技术、对低延迟和即时处理的需求不断增长、增强的资料安全性、可扩展性、改进的频宽管理、第五代(5G)的兴起以及对去中心化计算是帮助市场扩张的一些主要因素。
物联网设备的激增
根据雾运算市场研究报告,市场的主要成长动力之一是物联网设备渗透率的不断扩大。这些设备产生大量资料,需要即时处理和分析,以提供及时的见解和行动。传统的云端运算模型通常难以处理如此庞大的资料负载,从而导致延迟问题和频宽限制。此外,雾运算透过在网路边缘提供云端功能(更靠近资料生成位置)来应对这些挑战,从而解决这些挑战。这可以重置延迟,减少需要转发到云端的资料,并提高物联网应用程式的效能。因此,雾运算解决方案越来越多地被大量使用物联网设备的产业所采用。
5G 网路的成长
5G 网路部署的增加是另一个重要的成长诱导因素。 5G 技术有望提供超低延迟、高频宽和增强的连接性,这对于雾运算的成功至关重要。其高速、低延迟等固有特性进一步促进了雾节点上资料的处理和分析,从而提供更快、更可靠的服务。这特别适用于需要即时回应的应用,例如自动驾驶汽车、扩增实境 (AR)、虚拟实境 (VR) 和工业自动化。 5G 和雾运算之间的融合预计将为市场成长创造利润丰厚的机会。
对即时数据处理和分析的需求不断增长
即时处理和分析资料的需求正在推动不同行业对雾运算的需求。当今世界瞬息万变,企业和组织迫切需要从营运过程中产生的资料中获得即时洞察并采取行动。雾运算透过提供更接近资料来源的运算和储存资源来促进即时处理。这对于智慧电网、医疗保健监控、视讯监控和金融服务中的时间关键型应用特别有用。资料安全并增强隐私。
IMARC Group提供了每个细分市场的主要趋势的分析,以及 2024-2032 年全球、区域和国家层面的预测。我们的报告根据组件、部署模型和应用程式对市场进行了分类。
软体占大部分市场份额
该报告根据组成部分提供了详细的市场细分和分析。这包括硬体(网关、路由器和交换器、IP 摄影机、感测器和微型资料中心)和软体(雾运算平台和客製化应用软体)。根据该报告,软体占据了最大的部分。
对雾运算平台和客製化应用软体等软体元件的需求是由对更灵活、可扩展的解决方案日益增长的需求所推动的,这些解决方案可以满足各行业的多种需求。雾运算平台带来了一个全面的框架,可以管理跨多个边缘设备的分散式运算资源和资料,提高系统的整体灵活性和有效性。而在客製化应用软体解决方案中,企业能够客製化雾运算来满足其在获得最佳性能以及与现有基础设施整合方面的营运需求。除此之外,这些软体解决方案还附带影响力的工具,用于监控、管理和编排边缘设备,以确保平稳高效的操作,从而增加雾运算市场的收入。
报告还提供了基于部署模型的详细市场细分和分析。这包括私有雾节点、社区雾节点、公有雾节点和混合雾节点。
对私有雾节点的需求是由寻求增强资料安全性和控制的组织推动的,特别是在金融和医疗保健等敏感资料处理和合规性至关重要的行业。
社区雾节点针对研究机构或智慧城市等具有共同利益的特定群体,促进资源共享和资料协同处理,提高效率,降低成本。
公共雾节点专为广泛且相对不敏感的应用而设计,公共雾节点实现了规模经济,并且对于零售或娱乐等行业来说可以更具成本效益来处理不同的资料负载。
作为私有和公共元件的组合,混合雾节点提供灵活性和最佳化的资源利用,透过基于个人需求和给定业务的资料敏感度的平衡来实现安全性、成本和效能方面的目标。
智慧製造是领先的细分市场
该报告根据应用程式提供了详细的市场细分和分析。这包括楼宇和家庭自动化、智慧能源、智慧製造、运输和物流、连网健康以及安全和紧急情况。报告称,智慧製造是最大的细分市场。
由于对即时监控、预测性维护和更好的自动化的需求,智慧製造对雾运算的广泛需求正在加强市场成长。雾运算支援本地资料处理,从而将延迟降至最低,并有效地缩短决策时间。这对于预测性维护非常重要,因为它可以即时识别即将发生的设备故障,并透过延长给定机器的使用寿命来防止代价高昂的停机。此外,雾运算透过提供即时资料分析和快速响应所需的运算能力来支援先进的自动化系统,从而提供生产线和整体效率最佳化。此外,透过在本地处理敏感资料,雾运算提供了更高的资料安全性和隐私性,从而影响了雾计算行业的前景。
北美市场领先,占据最大的雾计算市场份额
该报告还对所有主要区域市场进行了全面分析,其中包括北美(美国和加拿大);亚太地区(中国、日本、印度、韩国、澳洲、印尼等);欧洲(德国、法国、英国、义大利、西班牙、俄罗斯等);拉丁美洲(巴西、墨西哥等);以及中东和非洲。报告称,北美是雾计算最大的区域市场。
雾运算产业报告显示,北美的市场需求是由该地区先进的技术基础设施、物联网和智慧城市计画的大量投资以及主要产业参与者的存在所推动的。北美,特别是美国,处于采用尖端技术的前沿,拥有广泛的研发工作和支持创新的强大生态系统。该地区对医疗保健、汽车和工业自动化等各个领域的物联网应用进行了大量投资,对雾运算等高效资料处理解决方案的需求不断增长。此外,北美主要科技公司和新创公司的存在推动了雾运算技术的开发和部署,推动了该地区的广泛采用。
(请注意,这只是关键参与者的部分列表,报告中提供了完整列表。)
The global fog computing market size reached US$ 196.8 Million in 2023. Looking forward, IMARC Group expects the market to reach US$ 528.8 Million by 2032, exhibiting a growth rate (CAGR) of 11.3% during 2024-2032. Various factors like increasing adoption of the Internet of Things (IoT) technology, growing demand for low latency and real-time processing, enhanced data security, scalability, improved bandwidth management, the rise of fifth-generation (5G), and the requirement for decentralized computing are some of the main factors aiding in market expansion.
Proliferation of IoT Devices
According to the fog computing market research report one of the major growth drivers in the market is the expanding penetration of IoT devices. These devices generate enormous volumes of data that need processing and analysis in real time to deliver timely insights and actions. Traditional cloud computing models often struggle to handle this massive data load, leading to latency issues and bandwidth limitations. Moreover, fog computing addresses these challenges by making cloud capabilities available at the edge of the network, closer to where data is generated, thereby resolving these challenges. This resets latency, reduces data that needs to be forwarded to the cloud, and gives IoT applications a performance boost. As a result, fog computing solutions are increasingly adopted by sectors that make intensive use of IoT devices.
Growth of 5G Networks
The increasing deployment of 5G networks is acting as another significant growth-inducing factor. 5G technology promises to deliver ultra-low latency, high bandwidth, and enhanced connectivity, which are critical for the success of fog computing. Its inherent characteristics, like high speed and lower latency, further facilitate the processing and analysis of data on fog nodes and hence faster and more reliable services. This is particularly applicable to applications that require real-time responses, such as autonomous vehicles, augmented reality (AR), virtual reality (VR), and industrial automation. The convergence between 5G and fog computing is expected to create lucrative opportunities for the market growth.
Growing Demand for Real-Time Data Processing and Analytics
The requirement to process and analyze data in real time is fueling the demand for fog computing in different industries. The contemporary world is so fast, and businesses and organizations are in dire need of instant insights and actions from the data produced through operations. Fog computing facilitates real-time processing through the provision of computation and storage resources closer to the source of data. This is particularly useful for time-critical applications in smart grids, healthcare monitoring, video surveillance, and financial services Moreover, it enhances the responsiveness and efficiency of applications, fosters data security, and enhances privacy by exposing less sensitive information to the broad internet, thereby positively impacting the fog computing market outlook.
IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the global, regional, and country levels for 2024-2032. Our report has categorized the market based on component, deployment models, and application.
Software accounts for the majority of the market share
The report has provided a detailed breakup and analysis of the market based on the component. This includes hardware (gateways, routers and switches, IP video cameras, sensors, and micro data center) and software (fog computing platform and customized application software). According to the report, software represented the largest segment.
The demand for software components like fog computing platforms and customized application software is driven by an increasing need for more flexible and scalable solutions that could address the multiple needs of various industries. Fog computing platforms bring along a comprehensive framework that owns the management of distributed computing resources and data across several edge devices, improving the overall flexibility and effectiveness of the system. Whereas in custom-made application software solutions, businesses are able to tailor fog computing to meet their operational needs in terms of getting the best performance and integration with already existing infrastructures. Apart from that, these software solutions also come along with influential tools for monitoring, management, and orchestration of edge devices to ensure smooth and efficient operations, which bolsters the fog computing market revenue.
A detailed breakup and analysis of the market based on the deployment models have also been provided in the report. This includes private fog nodes, community fog nodes, public fog nodes, and hybrid fog nodes.
The demand for private fog nodes is driven by organizations seeking enhanced data security and control, particularly in sectors like finance and healthcare, where sensitive data processing and compliance are crucial.
Community fog nodes cater to specific groups with common interests, such as research institutions or smart cities, facilitating shared resources and collaborative data processing, enhancing efficiency, and reducing costs.
Public fog nodes are designed for wide and relatively insensitive applications, public fog nodes achieve economies of scale and can be more cost-effective for sectors like retail or entertainment to deal with varied data loads.
As a combination of private and public components, the hybrid fog node provides flexibility and optimized resource utilization to enable objectives with respect to security, cost, and performance by a balance based on individual needs and the sensitivity of data for a given business.
Smart manufacturing represents the leading market segment
The report has provided a detailed breakup and analysis of the market based on the application. This includes building and home automation, smart energy, smart manufacturing, transportation and logistics, connected health, and security and emergencies. According to the report, smart manufacturing represented the largest segment.
The extensive demand for fog computing in smart manufacturing due to the need for real-time monitoring, predictive maintenance, and better automation is strengthening the market growth. Fog computing empowers local data processing, which repels latency to a very minimum and time-to-decision effectively. This is very critical to predictive maintenance, as it provides real-time identification of impending equipment failures and prevents costly downtime through the elongation of the life of a given machine. Besides, fog computing supports advanced automation systems by providing the computational power required for real-time data analysis and fast response, hence offering production lines and overall efficiency optimization. Moreover, with the processing of sensitive data locally, fog computing provides increased data security and privacy, thus influencing the fog computing industry outlook.
North America leads the market, accounting for the largest fog computing market share
The report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America represents the largest regional market for fog computing.
The fog computing industry report shows that the market demand in North America is driven by the region's advanced technological infrastructure, significant investments in IoT and smart city projects, and the presence of key industry players. North America, particularly the United States, is at the forefront of adopting cutting-edge technologies, with extensive R&D efforts and a robust ecosystem supporting innovation. The region's substantial investment in IoT applications across various sectors, including healthcare, automotive, and industrial automation, creates a growing need for efficient data processing solutions like fog computing. Additionally, the presence of major tech companies and startups in North America fuels the development and deployment of fog computing technologies, driving widespread adoption across the region.
(Please note that this is only a partial list of the key players, and the complete list is provided in the report.)