市场调查报告书
商品编码
1379741
企业网路市场 - 全球产业规模、份额、趋势、机会和预测,按设备、基础设施类型、地区、竞争细分,2018-2028 年Enterprise Networking Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Equipment, By Infrastructure Type, By Region, By Competition, 2018-2028 |
2022 年全球企业网络市场价值达 4,120 亿美元,预计到 2028 年预测期内将实现强劲增长,复合CAGR为5.8%。随着组织越来越依赖先进网络,全球企业网络市场正在经历重大转型和扩张为其数位化营运提供动力的解决方案。该市场涵盖广泛的产品和服务,包括路由器、交换器、无线网路和软体定义网路 (SDN) 解决方案。该市场的关键驱动力之一是基于云端的服务和应用程式的日益普及,需要可扩展且敏捷的网路基础设施。此外,物联网 (IoT) 设备的激增和对无缝连接的需求进一步推动了企业网路产业的发展。 COVID-19 大流行加速了对强大远端工作功能的需求,推动了对安全和高效能网路解决方案的投资。此外,5G 和边缘运算等技术的出现有望重塑企业网络,为关键应用程式实现低延迟和高速连接。随着企业寻求提高生产力、简化营运并确保资料安全,全球企业网路市场将持续成长和创新,组织投资尖端解决方案以满足其不断变化的网路需求。
市场概况 | |
---|---|
预测期 | 2024-2028 |
2022 年市场规模 | 4120 亿美元 |
2028 年市场规模 | 5830.5亿美元 |
2023-2028 年CAGR | 5.8% |
成长最快的细分市场 | 无线区域网路 |
最大的市场 | 亚太 |
支援人工智慧的网路透过优化网路效能和效率正在彻底改变全球企业网路市场。透过人工智慧演算法,可以即时分析网路流量、识别模式并动态分配网路资源以确保最佳效能。这显着提高了网路效率并加速了资料传输,从而提高了企业的整体生产力。支援人工智慧的网路的主要优势之一是它能够自动执行网路管理任务。人工智慧演算法可以监控网路效能、侦测异常并主动解决潜在问题,减少网路故障排除和维护所需的人工工作量。此外,人工智慧演算法可以不断地从网路资料中学习并随着时间的推移调整其策略,确保网路保持最新和有弹性。
人工智慧网路在增强企业网路安全方面发挥着至关重要的作用。透过利用人工智慧演算法,组织可以即时检测和减轻潜在的安全威胁。人工智慧演算法可以分析网路流量模式、识别可疑活动并主动回应安全漏洞。这种主动方法可以帮助组织防止资料外洩、未经授权的存取和其他网路威胁。此外,人工智慧网路可以侦测异常和偏离正常网路行为的情况,从而儘早发现潜在的安全漏洞。透过持续监控网路流量和分析模式,人工智慧演算法可以在安全威胁造成重大损害之前对其进行识别和回应。这种先进的威胁侦测功能增强了企业的整体安全态势,并保护敏感资料免遭未经授权的存取。
支援人工智慧的网路透过预测和预防网路故障来提高网路可靠性。人工智慧演算法可以分析历史网路资料、识别故障模式并预测潜在的网路中断。这使组织能够在网路问题影响业务运作之前主动解决它们。此外,人工智慧演算法可以在发生故障时动态重新路由网路流量,确保连接不间断并最大限度地减少停机时间。透过利用人工智慧网络,组织可以实现更高程度的网路可靠性、降低网路中断风险并增强业务连续性。
支援人工智慧的网路利用机器学习演算法来优化网路效能和资源分配。透过分析网路资料,人工智慧演算法可以识别瓶颈、优化网路配置并根据需求分配资源。这种智慧网路优化可提高网路效率、减少延迟并增强整体用户体验。此外,人工智慧演算法可以不断地从网路资料中学习,并随着时间的推移调整其优化策略,确保网路随着流量模式的发展而保持最佳化。这种迭代学习过程使组织能够实现更高水准的网路效能和可扩展性。
支援人工智慧的网路可自动执行网路管理的各个方面,包括配置、监控和故障排除。人工智慧演算法可以自动配置网路设备、监控网路效能并检测潜在问题。这种自动化减少了网路管理任务所需的手动工作量,使 IT 团队能够专注于更具策略性的计划。此外,人工智慧演算法可以主动识别网路问题、产生警报并提供解决建议。这种主动的网路管理方法提高了营运效率,减少了停机时间,并增强了网路的整体可靠性。
全球企业网路市场面临重大挑战,组织之间对采用先进网路解决方案的重要性和优势的认识和理解有限。许多企业,尤其是小型企业,可能无法完全掌握与传统网路方法相关的潜在风险和低效率,以及先进网路技术增强连接性、安全性和整体营运效率的潜力。这种意识的缺乏可能导致在投资高阶网路解决方案时犹豫不决,使组织容易受到网路限制和效能不佳的影响。应对这项挑战需要全面的教育倡议,以强调先进网路在实现数位转型、改善协作和支持业务成长方面所发挥的关键作用。组织需要认识到过时的网路基础设施可能会导致连接问题、安全漏洞和生产力下降。现实世界的例子和案例研究展示了先进网路的实际好处,有助于加深对其重要性的理解。
高阶网路解决方案的实施和管理可能会为组织带来复杂的挑战,特别是那些 IT 资源或专业知识有限的组织。有效配置先进网路系统并将其与现有基础设施和应用程式整合在技术上要求很高。整合过程中可能会出现相容性问题,从而导致延迟和效能不佳。为了应对这些挑战,必须简化高阶网路解决方案的部署和管理。应提供使用者友善的介面和直觉的配置选项,以简化设定和自订。此外,组织应该能够获得全面的支援和指导,包括文件、教程和技术专家,他们可以协助整合和解决任何问题。简化高阶网路实施的这些方面可以带来更有效率的流程、改进的连接性和增强的网路效能。
随着组织越来越依赖数位技术和基于云端的服务,全球企业网路市场面临解决安全和隐私问题的挑战。随着网路威胁和资料外洩的数量不断增加,组织需要确保其网路基础设施强大且安全。先进的网路解决方案必须采用强大的安全措施,例如加密、身份验证和入侵侦测系统,以保护敏感资料并防止未经授权的存取。此外,组织需要遵守资料隐私法规,并确保其网路解决方案符合业界标准。解决这些问题需要持续投资于研发,以领先新出现的威胁和漏洞。网路供应商、安全专家和监管机构之间的合作对于制定和实施有效的安全措施至关重要,这些措施可以增强组织采用先进网路解决方案的信心。
随着组织的发展和业务扩展,其网路基础设施的可扩展性和效能变得至关重要。全球企业网路市场面临的挑战是提供可扩展的解决方案,以适应不断增长的网路流量并支援新应用程式和服务的无缝整合。此外,组织需要能够提供最佳效能、低延迟和高频宽的网路解决方案,以满足资料密集型应用程式和即时通讯的需求。克服这些挑战需要开发先进的网路技术,这些技术可以动态扩展、适应不断变化的网路条件并优化效能。软体定义网路 (SDN)、网路功能虚拟化 (NFV) 和边缘运算等领域的持续创新可以使组织能够建立敏捷且高效能的网络,以支援其不断变化的业务需求。
全球企业网路解决方案市场对安全可靠的网路解决方案的需求不断增长。随着组织越来越依赖数位基础设施来开展运营,对能够确保无缝连接、资料传输和通讯的强大网路解决方案的需求变得至关重要。随着网路威胁的激增和网路复杂性的不断增加,组织正在寻求先进的网路解决方案,这些解决方案可以提供增强的安全功能,例如加密、身份验证和存取控制,以保护其敏感资料并防止未经授权的存取。
全球企业网路市场正经历向软体定义网路 (SDN) 解决方案的重大转变。 SDN 提供了一种集中式网路管理方法,使组织能够透过基于软体的控制器动态控制和配置其网路。这种转变是由对网路营运更高敏捷性、可扩展性和灵活性的需求所推动的。
SDN 解决方案为组织提供了自动化网路配置、最佳化流量和实施基于策略的网路管理的能力。透过将控制平面与资料平面解耦,SDN 使组织能够实现更好的网路视觉性、简化网路管理任务并降低营运成本。此外,SDN 促进了虚拟化技术的集成,使组织能够创建可轻鬆扩展和自订的虚拟网络,以满足其特定要求。
将人工智慧(AI)和机器学习(ML)技术整合到企业网路解决方案中是市场的一个重要趋势。人工智慧和机器学习演算法可以分析大量网路资料、识别模式并即时检测异常,使网路解决方案能够主动回应网路问题和安全威胁。
透过利用人工智慧和机器学习功能,网路解决方案供应商可以增强网路效能、优化资源分配并改善网路故障排除和故障检测。这些技术实现了智慧网路自动化、预测分析和自我修復功能,使组织能够实现更高水准的网路效率、可靠性和弹性。
此外,人工智慧和机器学习可用于透过侦测和减轻潜在威胁(例如 DDoS 攻击、恶意软体感染和未经授权的存取尝试)来增强网路安全。透过持续分析网路流量和行为,人工智慧网路解决方案可以识别可疑活动、产生警报并采取主动措施防止安全漏洞。
乙太网路交换器领域在 2022 年以超过 37% 的最高收入份额引领市场,预计在整个预测期内将保持最大份额。乙太网路网路交换器透过在连接到交换器的装置之间中继乙太乙太网路封包来连接装置。对高速乙太网路交换器的需求不断增长预计将在未来几年为市场参与者开闢新的成长前景。政府加速数位转型的尝试也增加了对交换器、路由器和无线区域网路网路的需求,预计这将推动未来的市场扩张。
预计 WLAN 市场将在预测期内显着成长。透过行动装置上的IP音讯和视讯应用的扩展使用,放大了企业区域中用户和设备的密度增加的效应。一种用于无线本地化- 对于仅当用户存在于具有大量文件共享等的协作工作解决方案的严格且有限的范围内时才允许访问资源和应用程序的公司。上述类型的应用程序需要更广泛的频宽,导致 WLAN 网路拥塞,从而降低效能等级。该标准还支援与频宽相关的远端呈现应用,例如网路会议和视讯。企业部署802.11ac的时机已经成熟,预计将增加对新WLAN设备的需求。
2022 年,仅外包领域就占据了最大的收入份额,超过 68%。企业网路外包需求不断增长,是由于企业需要削减成本、提高绩效、获取知识、专注于核心能力和保持业务连续性。同时利用最新技术和行业趋势。此外,外包可以帮助组织将网路的管理和维护工作交给外部供应商,从而专注于其核心竞争力。它释放内部资源,专注于推动业务成长和创新的策略倡议。
预计内部部门将在预测年内显着成长。内部网路产品生产可以节省与外包相关的管理成本。使用内部製造时,可以完全控制产品输出。此外,可以透过足够的劳动力和设备来规划产量高峰以满足需求。内部网路产品的品质可以得到更好的控制,而品质控制对于企业至关重要,这导致内部部分的使用越来越多。
2022 年,亚太地区将主导市场,占全球收入的 38% 以上。许多地区国家的重大转变及其使用云端服务的倾向是该地区成长的因素。不断扩大的製造活动也证明了该领域对一流精密设备的需求不断增长。然而,由于该地区强大的 IT 产业和对先进技术的巨大需求,特别是在中国和印度,亚太市场也在成长。
预计 MEA 从 2023 年到 2030 年将出现显着的CAGR。这种增长归因于电信行业的发展和产业重新聚焦以产生新的经济发展。由于先进的乙太网路交换器能够运行更多路由协议,预计路由器的采用将会缓慢。它使企业可以考虑使用交换器而不是路由器。
Global Enterprise Networking Market has valued at USD 412 Billion in 2022 and is anticipated to project robust growth in the forecast period with a CAGR of 5.8% through 2028. The Global Enterprise Networking Market is undergoing significant transformation and expansion as organizations increasingly rely on advanced networking solutions to power their digital operations. This market encompasses a wide range of products and services, including routers, switches, wireless networks, and software-defined networking (SDN) solutions. One of the key drivers of this market is the growing adoption of cloud-based services and applications, necessitating scalable and agile network infrastructures. Additionally, the proliferation of Internet of Things (IoT) devices and the demand for seamless connectivity further boost the enterprise networking sector. The COVID-19 pandemic has accelerated the need for robust remote work capabilities, driving investments in secure and high-performance networking solutions. Furthermore, the emergence of technologies like 5G and edge computing is poised to reshape enterprise networking, enabling low-latency and high-speed connectivity for critical applications. As businesses seek to enhance productivity, streamline operations, and ensure data security, the Global Enterprise Networking Market is poised for continued growth and innovation, with organizations investing in cutting-edge solutions to meet their evolving networking needs.
Market Overview | |
---|---|
Forecast Period | 2024-2028 |
Market Size 2022 | USD 412 Billion |
Market Size 2028 | USD 583.05 billion |
CAGR 2023-2028 | 5.8% |
Fastest Growing Segment | WLAN |
Largest Market | Asia-Pacific |
AI-enabled networking is revolutionizing the global enterprise networking market by optimizing network performance and efficiency. With the help of AI algorithms, network traffic can be analyzed in real-time, patterns can be identified, and network resources can be dynamically allocated to ensure optimal performance. This significantly improves network efficiency and accelerates data transmission, enhancing the overall productivity of enterprises. One of the key benefits of AI-enabled networking is its ability to automate network management tasks. AI algorithms can monitor network performance, detect anomalies, and proactively address potential issues, reducing the manual effort required for network troubleshooting and maintenance. Moreover, AI algorithms can continuously learn from network data and adapt their strategies over time, ensuring that the network remains up-to-date and resilient.
AI-enabled networking plays a crucial role in enhancing network security for enterprises. By leveraging AI algorithms, organizations can detect and mitigate potential security threats in real-time. AI algorithms can analyze network traffic patterns, identify suspicious activities, and proactively respond to security breaches. This proactive approach helps organizations prevent data breaches, unauthorized access, and other cyber threats. Furthermore, AI-enabled networking can detect anomalies and deviations from normal network behavior, enabling early detection of potential security breaches. By continuously monitoring network traffic and analyzing patterns, AI algorithms can identify and respond to security threats before they cause significant damage. This advanced threat detection capability enhances the overall security posture of enterprises and protects sensitive data from unauthorized access.
AI-enabled networking improves network reliability by predicting and preventing network failures. AI algorithms can analyze historical network data, identify patterns of failures, and predict potential network outages. This enables organizations to proactively address network issues before they impact business operations. Additionally, AI algorithms can dynamically reroute network traffic in case of failures, ensuring uninterrupted connectivity and minimizing downtime. By leveraging AI-enabled networking, organizations can achieve higher levels of network reliability, reduce the risk of network disruptions, and enhance business continuity.
AI-enabled networking leverages machine learning algorithms to optimize network performance and resource allocation. By analyzing network data, AI algorithms can identify bottlenecks, optimize network configurations, and allocate resources based on demand. This intelligent network optimization improves network efficiency, reduces latency, and enhances the overall user experience. Moreover, AI algorithms can continuously learn from network data and adapt their optimization strategies over time, ensuring that the network remains optimized as traffic patterns evolve. This iterative learning process enables organizations to achieve higher levels of network performance and scalability.
AI-enabled networking automates various aspects of network management, including configuration, monitoring, and troubleshooting. AI algorithms can automatically configure network devices, monitor network performance, and detect potential issues. This automation reduces the manual effort required for network management tasks, allowing IT teams to focus on more strategic initiatives. Furthermore, AI algorithms can proactively identify network issues, generate alerts, and provide recommendations for resolution. This proactive approach to network management improves operational efficiency, reduces downtime, and enhances the overall reliability of the network.
The global enterprise networking market faces a significant challenge in terms of limited awareness and understanding among organizations regarding the importance and advantages of adopting advanced networking solutions. Many businesses, particularly smaller enterprises, may not fully grasp the potential risks and inefficiencies associated with traditional networking methods and the potential for advanced networking technologies to enhance connectivity, security, and overall operational efficiency. This lack of awareness can lead to hesitation in investing in advanced networking solutions, leaving organizations vulnerable to network limitations and suboptimal performance. Addressing this challenge requires comprehensive educational initiatives to highlight the critical role that advanced networking plays in enabling digital transformation, improving collaboration, and supporting business growth. Organizations need to recognize that outdated networking infrastructure can result in connectivity issues, security breaches, and hindered productivity. Real-world examples and case studies showcasing the tangible benefits of advanced networking can help foster a deeper understanding of its significance.
The implementation and management of advanced networking solutions can pose complex challenges for organizations, particularly those with limited IT resources or expertise. Configuring and integrating advanced networking systems effectively with existing infrastructure and applications can be technically demanding. Compatibility issues may arise during integration, leading to delays and suboptimal performance. To address these challenges, it is essential to simplify the deployment and management of advanced networking solutions. User-friendly interfaces and intuitive configuration options should be provided to streamline setup and customization. Additionally, organizations should have access to comprehensive support and guidance, including documentation, tutorials, and technical experts who can assist with integration and troubleshoot any issues. Simplifying these aspects of advanced networking implementation can lead to more efficient processes, improved connectivity, and enhanced network performance.
As organizations increasingly rely on digital technologies and cloud-based services, the global enterprise networking market faces the challenge of addressing security and privacy concerns. With the growing number of cyber threats and data breaches, organizations need to ensure that their networking infrastructure is robust and secure. Advanced networking solutions must incorporate robust security measures, such as encryption, authentication, and intrusion detection systems, to protect sensitive data and prevent unauthorized access. Additionally, organizations need to comply with data privacy regulations and ensure that their networking solutions adhere to industry standards. Addressing these concerns requires continuous investment in research and development to stay ahead of emerging threats and vulnerabilities. Collaboration between networking vendors, security experts, and regulatory bodies is crucial to develop and implement effective security measures that instill confidence in organizations adopting advanced networking solutions.
As organizations grow and expand their operations, the scalability and performance of their networking infrastructure becomes critical. The global enterprise networking market faces the challenge of providing scalable solutions that can accommodate increasing network traffic and support the seamless integration of new applications and services. Additionally, organizations require networking solutions that can deliver optimal performance, low latency, and high bandwidth to meet the demands of data-intensive applications and real-time communication. Overcoming these challenges requires the development of advanced networking technologies that can scale dynamically, adapt to changing network conditions, and optimize performance. Continuous innovation in areas such as software-defined networking (SDN), network function virtualization (NFV), and edge computing can enable organizations to build agile and high-performing networks that support their evolving business needs.
The global market for enterprise networking solutions is witnessing a rise in demand for secure and reliable networking solutions. As organizations increasingly rely on digital infrastructure to conduct their operations, the need for robust networking solutions that can ensure seamless connectivity, data transfer, and communication has become paramount. With the proliferation of cyber threats and the growing complexity of networks, organizations are seeking advanced networking solutions that can provide enhanced security features, such as encryption, authentication, and access control, to protect their sensitive data and prevent unauthorized access.
To address this demand, networking solution providers are focusing on developing innovative technologies that can deliver secure and reliable connectivity. These solutions leverage advanced encryption algorithms, secure protocols, and multi-factor authentication mechanisms to safeguard data transmission and ensure the integrity and confidentiality of information. Additionally, they incorporate features like intrusion detection and prevention systems, network segmentation, and virtual private networks (VPNs) to create secure network environments that can withstand cyber attacks and mitigate potential risks.
The global enterprise networking market is experiencing a significant shift towards software-defined networking (SDN) solutions. SDN offers a centralized approach to network management, enabling organizations to dynamically control and configure their networks through software-based controllers. This shift is driven by the need for greater agility, scalability, and flexibility in network operations.
SDN solutions provide organizations with the ability to automate network provisioning, optimize traffic flow, and implement policy-based network management. By decoupling the control plane from the data plane, SDN enables organizations to achieve better network visibility, simplify network management tasks, and reduce operational costs. Furthermore, SDN facilitates the integration of virtualization technologies, enabling organizations to create virtual networks that can be easily scaled and customized to meet their specific requirements.
The integration of artificial intelligence (AI) and machine learning (ML) technologies into enterprise networking solutions is a significant trend in the market. AI and ML algorithms can analyze vast amounts of network data, identify patterns, and detect anomalies in real-time, enabling networking solutions to proactively respond to network issues and security threats.
By leveraging AI and ML capabilities, networking solution providers can enhance network performance, optimize resource allocation, and improve network troubleshooting and fault detection. These technologies enable intelligent network automation, predictive analytics, and self-healing capabilities, allowing organizations to achieve higher levels of network efficiency, reliability, and resilience.
Furthermore, AI and ML can be utilized to enhance network security by detecting and mitigating potential threats, such as DDoS attacks, malware infections, and unauthorized access attempts. By continuously analyzing network traffic and behavior, AI-enabled networking solutions can identify suspicious activities, generate alerts, and take proactive measures to prevent security breaches.
The ethernet switch segment led the market with the highest revenue share of over 37% in 2022 and is anticipated to hold the maximum share throughout the forecast period. Ethernet switches connect devices by relaying Ethernet frames between devices connected to the switches. Increasing demand for high-speed Ethernet switches is expected to open up new growth prospects for market participants in the coming years. Government attempts to speed up digital transformation have also increased demand for switches, routers, and wireless LAN networks, which is expected to propel market expansion in the future.
The WLAN segment is estimated to grow significantly over the forecast period. The increasing density effect in the enterprise area of the users and the equipment is magnified by the extended usage of the over-IP audio and video applications on mobile equipment. One for wireless localization - for the companies that allow access to resources and applications only if the user is present in a strict and limited perimeter of the collaborative work solutions with the large volume of file sharing, etc. The mentioned types of applications require more extensive bandwidths, resulting in the congestion of the WLAN networks, which decreases the level of performance. This standard also supports bandwidth-related telepresence applications such as web conferencing and video. Enterprises are ripe for the deployment of 802.11ac, which is expected to increase demand for the new WLAN equipment.
The outsourced segment alone held the largest revenue share of over 68% in 2022. The rising demand for corporate networking outsourcing is driven by enterprises' need to cut costs, improve performance, get access to knowledge, focus on core competencies, and maintain business continuity while taking advantage of the latest technology and industry trends. Furthermore, outsourcing can help organizations focus on their core competencies by allowing them to offload the management and maintenance of their networks to external providers. It frees internal resources to focus on strategic initiatives that drive business growth and innovation.
The in-house segment is predicted to foresee significant growth in the forecast years. In-house networking product production can save on management costs associated with outsourcing. There is complete control over the product output when in-house manufacturing is used. Moreover, production spikes can be planned with enough labor and equipment to meet demand. The quality of in-house networking products can be better controlled, and quality control is critical for businesses, which leads to the growing use of the in-house segment.
Asia Pacific dominated the market in 2022, accounting for over 38% of global revenue. The significant transition across many regional nations and their propensity to use cloud services is a factor in the region's growth. Additional evidence of a growing demand for top-notch precision equipment in this area comes from the continually expanding manufacturing activity. However, the Asia-Pacific market is also growing due to the region's strong IT sector and enormous demand for advanced technology, particularly in China and India.
MEA is anticipated to register a significant CAGR from 2023 to 2030. The growth is due to the telecom sector's development and industrial re-focusing to generate new economic development. Routers are expected to witness slow adoption owing to the capability of advanced ethernet switches to operate more routing protocols. It has enabled enterprises to consider switches over routers.
In this report, the Global Enterprise Networking Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below: