2025年網路服務十大成長機會

Top 10 Growth Opportunities in Network Services 2025

出版日期: 2025年05月26日 | 出版商:

Frost & Sullivan | 英文 13 Pages | 商品交期: 最快1-2個工作天內

價格

簡介目錄

安全、自動化、人工智慧和託管服務是網路服務成功的關鍵

隨著軟體定義網路 (SDN)、安全接入安全邊緣 (SASE) 和資安管理服務的進步，網路服務產業正在經歷重大變革，預計這些技術將保持兩位數的收益成長，並抵消傳統傳輸服務的下滑。人工智慧 (AI) 在為網路營運商開發新服務、增強連接服務以及支援流量成長帶來的收益成長方面發揮關鍵作用。儘管整體流量有所成長，但由於價格壓縮，收益正在下降，這迫使營運商探索其他服務機會。

隨著企業數位轉型，網路營運商正在調整其服務以滿足不斷變化的需求。管理軟體定義廣域網路 (SD-WAN) 和 SASE 解決方案的複雜性促使營運商轉向託管服務，以提供所需的專業知識和資源，使企業能夠專注於其核心業務。「即服務」模式仍然是許多企業的首選，而且該行業正在不斷發展，以提供自助交易系統、簡化的銷售流程、整合自動化、安全性和人工智慧。這些不斷發展的模式是對傳統方法的補充，促進了客戶和參與團隊在統一平台上的無縫協作。

策略要務
十大成長機會
成長機會1：生成式人工智慧與人工智慧創造機會
成長機會二：SD-WAN 持續保持兩位數成長
成長機會三：專用網路服務的擴展
成長機會四：波長服務驅動雲
成長機會#5：NaaS 持續發展
成長機會6：簡化網路複雜性的託管服務
成長機會7：CASB 在多重雲端環境中補充 SD-WAN
成長機會8：量子安全網路
成長機會#9：LAN、Wi-Fi、私有5G
成長機會#10：更多併購即將到來
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簡介目錄

Product Code: KB68-63

Security, Automation, AI, and Managed Services are the Key to Network Services Success

The network services industry is experiencing significant shifts driven by advancements in Software Defined Networking (SDN), Secure Access Secure Edge (SASE), and managed security services, which are expected to sustain double-digit revenue growth and counterbalance declines in traditional transport services. Artificial Intelligence (AI) is playing a pivotal role in developing new services for network operators, enhancing connectivity offerings, and supporting revenue growth by generating increased traffic. Despite the rise in overall traffic, revenue is declining due to price compression, prompting operators to explore additional service opportunities.

As enterprises advance in their digital transformation journeys, network operators are adapting their services to meet evolving needs. The complexity of managing software-defined wide area network (SD-WAN) and SASE solutions is driving operators towards managed services, providing the necessary expertise and resources for enterprises to focus on core operations. The "as a service" model remains the preferred consumption method for many businesses, leading the industry to offer self-service transaction systems, streamlined sales processes, and integrated automation, security, and AI. These evolving models complement traditional approaches, fostering seamless collaboration between clients and engagement teams on unified platforms.