市場調查報告書
商品編碼
1379741
企業網路市場 - 全球產業規模、佔有率、趨勢、機會和預測,按設備、基礎設施類型、地區、競爭細分,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 年全球企業網路市場價值達 4,120 億美元,預計到 2028 年預測期內將實現強勁成長,複合CAGR為5.8%。隨著組織越來越依賴先進網路,全球企業網路市場正在經歷重大轉型和擴張為其數位化營運提供動力的解決方案。該市場涵蓋廣泛的產品和服務,包括路由器、交換器、無線網路和軟體定義網路 (SDN) 解決方案。該市場的關鍵驅動力之一是基於雲端的服務和應用程式的日益普及,需要可擴展且敏捷的網路基礎設施。此外,物聯網 (IoT) 設備的激增和對無縫連接的需求進一步推動了企業網路產業的發展。 COVID-19 大流行加速了對強大遠端工作功能的需求,推動了對安全和高效能網路解決方案的投資。此外,5G 和邊緣運算等技術的出現有望重塑企業網路,為關鍵應用程式實現低延遲和高速連接。隨著企業尋求提高生產力、簡化營運並確保資料安全,全球企業網路市場將持續成長和創新,組織投資尖端解決方案以滿足其不斷變化的網路需求。
市場概況 | |
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預測期 | 2024-2028 |
2022 年市場規模 | 4120 億美元 |
2028 年市場規模 | 5830.5億美元 |
2023-2028 年CAGR | 5.8% |
成長最快的細分市場 | 無線區域網路 |
最大的市場 | 亞太 |
支援人工智慧的網路透過最佳化網路效能和效率正在徹底改變全球企業網路市場。透過人工智慧演算法,可以即時分析網路流量、識別模式並動態分配網路資源以確保最佳效能。這顯著提高了網路效率並加速了資料傳輸,從而提高了企業的整體生產力。支援人工智慧的網路的主要優勢之一是它能夠自動執行網路管理任務。人工智慧演算法可以監控網路效能、偵測異常並主動解決潛在問題,減少網路故障排除和維護所需的人工工作量。此外,人工智慧演算法可以不斷地從網路資料中學習並隨著時間的推移調整其策略,確保網路保持最新和有彈性。
人工智慧網路在增強企業網路安全方面發揮著至關重要的作用。透過利用人工智慧演算法,組織可以即時檢測和減輕潛在的安全威脅。人工智慧演算法可以分析網路流量模式、識別可疑活動並主動回應安全漏洞。這種主動方法可以幫助組織防止資料外洩、未經授權的存取和其他網路威脅。此外,人工智慧網路可以偵測異常和偏離正常網路行為的情況,從而儘早發現潛在的安全漏洞。透過持續監控網路流量和分析模式,人工智慧演算法可以在安全威脅造成重大損害之前對其進行識別和回應。這種先進的威脅偵測功能增強了企業的整體安全態勢,並保護敏感資料免遭未經授權的存取。
支援人工智慧的網路透過預測和預防網路故障來提高網路可靠性。人工智慧演算法可以分析歷史網路資料、識別故障模式並預測潛在的網路中斷。這使組織能夠在網路問題影響業務運作之前主動解決它們。此外,人工智慧演算法可以在發生故障時動態重新路由網路流量,確保連接不間斷並最大限度地減少停機時間。透過利用人工智慧網路,組織可以實現更高程度的網路可靠性、降低網路中斷風險並增強業務連續性。
支援人工智慧的網路利用機器學習演算法來最佳化網路效能和資源分配。透過分析網路資料,人工智慧演算法可以識別瓶頸、最佳化網路配置並根據需求分配資源。這種智慧網路最佳化可提高網路效率、減少延遲並增強整體用戶體驗。此外,人工智慧演算法可以不斷地從網路資料中學習,並隨著時間的推移調整其最佳化策略,確保網路隨著流量模式的發展而保持最佳化。這種迭代學習過程使組織能夠實現更高水準的網路效能和可擴展性。
支援人工智慧的網路可自動執行網路管理的各個方面,包括配置、監控和故障排除。人工智慧演算法可以自動配置網路設備、監控網路效能並檢測潛在問題。這種自動化減少了網路管理任務所需的手動工作量,使 IT 團隊能夠專注於更具策略性的計劃。此外,人工智慧演算法可以主動識別網路問題、產生警報並提供解決建議。這種主動的網路管理方法提高了營運效率,減少了停機時間,並增強了網路的整體可靠性。
全球企業網路市場面臨重大挑戰,組織之間對採用先進網路解決方案的重要性和優勢的認知和理解有限。許多企業,尤其是小型企業,可能無法完全掌握與傳統網路方法相關的潛在風險和低效率,以及先進網路技術增強連接性、安全性和整體營運效率的潛力。這種意識的缺乏可能導致在投資高階網路解決方案時猶豫不決,使組織容易受到網路限制和效能不佳的影響。應對這項挑戰需要全面的教育舉措,以強調先進網路在實現數位轉型、改善協作和支持業務成長方面所發揮的關鍵作用。組織需要認知到過時的網路基礎設施可能會導致連接問題、安全漏洞和生產力下降。現實世界的例子和案例研究展示了先進網路的實際好處,有助於加深對其重要性的理解。
高階網路解決方案的實施和管理可能會為組織帶來複雜的挑戰,特別是那些 IT 資源或專業知識有限的組織。有效配置先進網路系統並將其與現有基礎設施和應用程式整合在技術上要求很高。整合過程中可能會出現相容性問題,從而導致延遲和效能不佳。為了應對這些挑戰,必須簡化高階網路解決方案的部署和管理。應提供使用者友善的介面和直覺的配置選項,以簡化設定和自訂。此外,組織應該能夠獲得全面的支援和指導,包括文件、教程和技術專家,他們可以協助整合和解決任何問題。簡化高階網路實施的這些方面可以帶來更有效率的流程、改進的連接性和增強的網路效能。
隨著組織越來越依賴數位技術和基於雲端的服務,全球企業網路市場面臨解決安全和隱私問題的挑戰。隨著網路威脅和資料外洩的數量不斷增加,組織需要確保其網路基礎設施強大且安全。先進的網路解決方案必須採用強大的安全措施,例如加密、身份驗證和入侵偵測系統,以保護敏感資料並防止未經授權的存取。此外,組織需要遵守資料隱私法規,並確保其網路解決方案符合業界標準。解決這些問題需要持續投資於研發,以領先新出現的威脅和漏洞。網路供應商、安全專家和監管機構之間的合作對於制定和實施有效的安全措施至關重要,這些措施可以增強組織採用先進網路解決方案的信心。
隨著組織的發展和業務擴展,其網路基礎設施的可擴展性和效能變得至關重要。全球企業網路市場面臨的挑戰是提供可擴展的解決方案,以適應不斷成長的網路流量並支援新應用程式和服務的無縫整合。此外,組織需要能夠提供最佳效能、低延遲和高頻寬的網路解決方案,以滿足資料密集型應用程式和即時通訊的需求。克服這些挑戰需要開發先進的網路技術,這些技術可以動態擴展、適應不斷變化的網路條件並最佳化效能。軟體定義網路 (SDN)、網路功能虛擬化 (NFV) 和邊緣運算等領域的持續創新可以使組織能夠建立敏捷且高效能的網路,以支援其不斷變化的業務需求。
全球企業網路解決方案市場對安全可靠的網路解決方案的需求不斷成長。隨著組織越來越依賴數位基礎設施來開展營運,對能夠確保無縫連接、資料傳輸和通訊的強大網路解決方案的需求變得至關重要。隨著網路威脅的激增和網路複雜性的不斷增加,組織正在尋求先進的網路解決方案,這些解決方案可以提供增強的安全功能,例如加密、身份驗證和存取控制,以保護其敏感資料並防止未經授權的存取。
全球企業網路市場正經歷向軟體定義網路 (SDN) 解決方案的重大轉變。 SDN 提供了一種集中式網路管理方法,使組織能夠透過基於軟體的控制器動態控制和配置其網路。這種轉變是由對網路營運更高敏捷性、可擴展性和靈活性的需求所推動的。
SDN 解決方案為組織提供了自動化網路配置、最佳化流量和實施基於策略的網路管理的能力。透過將控制平面與資料平面解耦,SDN 使組織能夠實現更好的網路視覺性、簡化網路管理任務並降低營運成本。此外,SDN 促進了虛擬化技術的整合,使組織能夠創建可輕鬆擴展和自訂的虛擬網路,以滿足其特定要求。
將人工智慧(AI)和機器學習(ML)技術整合到企業網路解決方案中是市場的一個重要趨勢。人工智慧和機器學習演算法可以分析大量網路資料、識別模式並即時檢測異常,使網路解決方案能夠主動回應網路問題和安全威脅。
透過利用人工智慧和機器學習功能,網路解決方案供應商可以增強網路效能、最佳化資源分配並改善網路故障排除和故障檢測。這些技術實現了智慧網路自動化、預測分析和自我修復功能,使組織能夠實現更高水準的網路效率、可靠性和彈性。
此外,人工智慧和機器學習可用於透過偵測和減輕潛在威脅(例如 DDoS 攻擊、惡意軟體感染和未經授權的存取嘗試)來增強網路安全。透過持續分析網路流量和行為,人工智慧網路解決方案可以識別可疑活動、產生警報並採取主動措施防止安全漏洞。
乙太網路交換器領域在 2022 年以超過 37% 的最高收入佔有率引領市場,預計在整個預測期內將保持最大佔有率。乙太網路網路交換器透過在連接到交換器的裝置之間中繼乙太乙太網路封包來連接裝置。對高速乙太網路交換器的需求不斷成長預計將在未來幾年為市場參與者開闢新的成長前景。政府加速數位轉型的嘗試也增加了對交換器、路由器和無線區域網路網路的需求,預計這將推動未來的市場擴張。
預計 WLAN 市場將在預測期內顯著成長。透過行動裝置上的IP音訊和視訊應用的擴展使用,放大了企業區域中用戶和設備的密度增加的效應。一種用於無線本地化- 對於僅當用戶存在於具有大量文件共享等的協作工作解決方案的嚴格且有限的範圍內時才允許訪問資源和應用程式的公司。上述類型的應用程式需要更廣泛的頻寬,導致 WLAN 網路擁塞,從而降低效能等級。該標準還支援與頻寬相關的遠端呈現應用,例如網路會議和視訊。企業部署802.11ac的時機已經成熟,預計將增加對新WLAN設備的需求。
2022 年,僅外包領域就佔據了最大的收入佔有率,超過 68%。企業網路外包需求不斷成長,是由於企業需要削減成本、提高績效、獲取知識、專注於核心能力和保持業務連續性。同時利用最新技術和行業趨勢。此外,外包可以幫助組織將網路的管理和維護工作交給外部供應商,從而專注於其核心競爭力。它釋放內部資源,專注於推動業務成長和創新的策略舉措。
預計內部部門將在預測年內顯著成長。內部網路產品生產可以節省與外包相關的管理成本。使用內部製造時,可以完全控制產品輸出。此外,可以透過足夠的勞動力和設備來規劃產量高峰以滿足需求。內部網路產品的品質可以得到更好的控制,而品質控制對於企業至關重要,這導致內部部分的使用越來越多。
2022 年,亞太地區將主導市場,佔全球收入的 38% 以上。許多地區國家的重大轉變及其使用雲端服務的傾向是該地區成長的因素。不斷擴大的製造活動也證明了該領域對一流精密設備的需求不斷成長。然而,由於該地區強大的 IT 產業和對先進技術的巨大需求,特別是在中國和印度,亞太市場也在成長。
預計 MEA 從 2023 年到 2030 年將出現顯著的CAGR。這種成長歸因於電信行業的發展和產業重新聚焦以產生新的經濟發展。由於先進的乙太網路交換器能夠運行更多路由協議,預計路由器的採用將會緩慢。它使企業可以考慮使用交換器而不是路由器。
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 | |
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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: