![]() |
市場調查報告書
商品編碼
1916671
電信網路自動化市場,全球預測至2032年:按組件、網路類型、組織規模、最終用戶和地區分類Telecom Network Automation Market Forecasts to 2032 - Global Analysis By Component (Software and Services), Network Type, Organization Size, End User and By Geography |
||||||
根據 Stratistics MRC 的一項研究,預計到 2025 年,全球電信網路自動化市場規模將達到 111.7 億美元,到 2032 年將達到 535.6 億美元,預測期內複合年成長率為 25.1%。
電信網路自動化是指利用軟體、人工智慧、機器學習和編配工具,以最小的人工干預實現電信網路的設計、部署、配置、管理、監控和最佳化自動化。這使得服務供應商能夠透過自動化故障管理、流量最佳化、服務配置和效能保障等日常和複雜任務,簡化固定、行動、雲端和虛擬化環境中的網路運作。電信網路自動化有助於提高營運效率、降低成本和錯誤率、增強服務可靠性並實現快速擴充性,使其成為管理現代 5G、邊緣運算和軟體定義網路基礎設施的關鍵技術。
對5G網路自動化的需求日益成長
通訊業者越來越需要智慧系統來管理複雜的高容量網路,而無需人工干預。自動化能夠實現服務的即時編配、預測性維護和動態資源分配。供應商正在將人工智慧驅動的解決方案整合到電信基礎設施中,以提高效率並減少停機時間。消費者對無縫連接的需求不斷成長,進一步推動了對自動化框架的需求。對自動化日益成長的需求正在加速對下一代電信生態系統的投資。隨著5G部署的加速推進,對自動化的需求正在推動電信網路的成長。
前期實施成本高
營運商需要大量資金來升級舊有系統、整合人工智慧驅動的編配。小規模的區域營運商往往由於預算有限和投資回報率 (ROI) 的不確定性而推遲採用這些技術。將自動化整合到多供應商環境中的複雜性進一步增加了成本。不斷上漲的能源和維護成本也加劇了營運商的財務困境。供應商正在嘗試模組化和訂閱模式以降低前期投資。儘管市場對自動化通訊解決方案的需求強勁,但高昂的實施成本正在減緩其普及速度。
新興市場的擴張
東南亞、非洲和拉丁美洲等地區的快速都市化和行動網路普及率的不斷提高,推動了對擴充性網路的需求。各國政府正在投資數位基礎設施,以支持經濟成長和智慧城市建設。當地產業越來越傾向於採用自動化技術來管理不斷成長的用戶群和複雜的流量模式。供應商正在客製化經濟高效的自動化平台,以滿足本地需求和法規結構。與本地通訊業者和政府的合作正在推動自動化技術的應用。新興市場的擴張正在為電信網路自動化領域創造巨大的成長機會。
監理合規的複雜性
各國政府對資料隱私、互通性和頻譜管理施加了嚴格的規定,加劇了營運挑戰。營運商被迫在合規審核和監控系統方面投入大量資金以維護用戶信任。與老牌電信巨頭相比,小規模供應商更難滿足認證要求。頻繁的政策變化也為長期投資計畫帶來了不確定性。供應商必須調整其解決方案以適應不同的區域法規,這減緩了擴充性。日益複雜的合規性威脅著電信自動化產業的強勁成長,並阻礙了用戶信任。
新冠疫情加速了電信自動化需求的成長,因為遠距辦公和數位生活方式的興起導致通訊業者面臨流量激增的局面。同時,供應鏈中斷延緩了基礎設施計劃的進度,並減緩了部署速度。此外,對彈性網路和自癒網路日益成長的需求推動了自動化平台的普及。企業越來越依賴人工智慧驅動的編配來確保尖峰時段的業務連續性。供應商整合了預測性監控和遠端系統管理功能,以增強網路彈性。疫情凸顯了自動化在維護電信可靠性的重要性。總而言之,新冠疫情提高了人們對自動化作為電信現代化策略驅動力的認知。
在預測期內,軟體領域將佔據最大的市場佔有率。
在預測期內,軟體領域預計將佔據最大的市場佔有率,這主要得益於對編配、分析和人工智慧驅動的管理工具的需求。軟體平台使營運商能夠實現工作流程自動化、減少停機時間並增強可擴展性。供應商正在將預測分析和即時監控功能整合到其軟體套件中。對靈活模組化解決方案日益成長的需求正在推動該領域的應用。營運商將軟體驅動的自動化視為管理複雜5G生態系統的關鍵組成部分。
大型企業板塊在預測期內將呈現最高的複合年成長率。
預計在預測期內,大型企業細分市場將實現最高成長率,這主要得益於企業對管理複雜、高容量網路自動化需求的不斷成長。大型企業越來越傾向於採用智慧編配來提高效率並降低營運風險。供應商正在將人工智慧驅動的解決方案整合到企業通訊框架中,以提高擴充性。數位轉型投資的增加正在推動該細分市場的需求。大型企業將自動化視為實現競爭優勢和增強韌性的關鍵。隨著企業採用自動化平台的程度不斷提高,自動化平台正在加速通訊網路的成長。
在預測期內,北美預計將保持最大的市場佔有率,這得益於其成熟的電信基礎設施、健全的法規結構以及對自動化技術的早期應用。美國和加拿大的通訊業者在投資人工智慧驅動的編配以管理5G部署方面處於主導。主要雲端服務供應商和電信廠商的存在進一步鞏固了該地區的領先地位。對混合雲端和多重雲端管治日益成長的需求正在推動大型企業採用這些技術。北美地區的創新以及對數位信任的高度重視正在推動電信自動化的持續成長。
預計亞太地區在預測期內將實現最高的複合年成長率,這主要得益於快速的都市化、不斷成長的行動網路普及率以及政府主導的數位化舉措。中國、印度和東南亞等國家正大力投資電信自動化,以支援5G網路部署和智慧城市生態系統建設。當地產業正在採用經濟高效的自動化平台,以增強擴充性並滿足消費者需求。Start-Ups和區域供應商正在推出客製化解決方案,以加速不同市場的普及。政府推行的數位轉型和互聯互通計畫也在推動市場需求。
According to Stratistics MRC, the Global Telecom Network Automation Market is accounted for $11.17 billion in 2025 and is expected to reach $53.56 billion by 2032 growing at a CAGR of 25.1% during the forecast period. Telecom Network Automation refers to the use of software, artificial intelligence, machine learning, and orchestration tools to automatically design, deploy, configure, manage, monitor, and optimize telecommunications networks with minimal human intervention. It enables service providers to streamline network operations across fixed, mobile, cloud, and virtualized environments by automating routine and complex tasks such as fault management, traffic optimization, service provisioning, and performance assurance. Telecom network automation improves operational efficiency, reduces costs and errors, enhances service reliability, and supports rapid scalability, making it essential for managing modern 5G, edge computing, and software-defined network infrastructures.
Rising demand for 5G network automation
Operators increasingly require intelligent systems to manage complex, high-capacity networks without manual intervention. Automation enables real-time orchestration of services, predictive maintenance, and dynamic resource allocation. Vendors are embedding AI-driven solutions into telecom infrastructure to strengthen efficiency and reduce downtime. Consumers expect seamless connectivity which is reinforcing the need for automated frameworks. Rising demand for automation is accelerating investment in next-generation telecom ecosystems. As 5G adoption intensifies, automation demand is propelling growth in telecom networks.
High initial deployment costs
Operators face heavy capital requirements for upgrading legacy systems, integrating AI-driven orchestration, and deploying edge infrastructure. Smaller regional carriers often delay adoption due to limited budgets and uncertain ROI. The complexity of integrating automation into multi-vendor ecosystems adds further expense. Rising energy and maintenance costs amplify financial challenges for operators. Vendors are experimenting with modular and subscription-based models to reduce upfront burdens. High deployment costs are slowing penetration despite strong demand for automated telecom solutions.
Expansion in emerging markets
Rapid urbanization and rising mobile penetration in regions such as Southeast Asia, Africa, and Latin America are driving demand for scalable networks. Governments are investing in digital infrastructure to support economic growth and smart city initiatives. Local operators increasingly require automation to manage expanding subscriber bases and complex traffic patterns. Vendors are tailoring cost-effective automation platforms to meet regional needs and regulatory frameworks. Partnerships with local carriers and governments are reinforcing adoption. Expansion in emerging markets is fostering significant growth opportunities in telecom network automation.
Regulatory compliance complexities
Governments impose strict mandates on data privacy, interoperability, and spectrum management that increase operational challenges. Operators must invest heavily in compliance audits and monitoring systems to sustain trust. Smaller providers struggle to meet certification requirements compared to established telecom giants. Frequent policy changes create uncertainty for long-term investment planning. Vendors must adapt solutions to diverse regional regulations which slows scalability. Rising compliance complexities are restraining confidence and threatening consistent growth in telecom automation.
The Covid-19 pandemic accelerated demand for telecom automation as operators faced surging traffic loads from remote work and digital-first lifestyles. On one hand, supply chain disruptions delayed infrastructure projects and slowed deployments. On the other hand, rising demand for resilient and self-healing networks boosted adoption of automation platforms. Enterprises increasingly relied on AI-driven orchestration to ensure continuity during peak usage. Vendors embedded predictive monitoring and remote management features to strengthen resilience. The pandemic reinforced the importance of automation in sustaining telecom reliability. Overall, Covid-19 boosted awareness of automation as a strategic enabler of telecom modernization.
The software segment is expected to be the largest during the forecast period
The software segment is expected to account for the largest market share during the forecast period, driven by demand for orchestration, analytics, and AI-driven management tools. Software platforms enable operators to automate workflows, reduce downtime, and strengthen scalability. Vendors are embedding predictive analytics and real-time monitoring into software suites. Rising demand for flexible and modular solutions is reinforcing adoption in this segment. Operators view software-driven automation as critical for managing complex 5G ecosystems.
The large enterprises segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the large enterprises segment is predicted to witness the highest growth rate, supported by rising demand for automation in managing complex, high-capacity networks. Large enterprises increasingly require intelligent orchestration to strengthen efficiency and reduce operational risks. Vendors are embedding AI-driven solutions into enterprise telecom frameworks to improve scalability. Rising investment in digital transformation is reinforcing demand in this segment. Large enterprises view automation as critical for competitive differentiation and resilience. As enterprise adoption expands, automation platforms are accelerating growth in telecom networks.
During the forecast period, the North America region is expected to hold the largest market share by mature telecom infrastructure, strong regulatory frameworks, and early adoption of automation technologies. Operators in the United States and Canada are leading investments in AI-driven orchestration to manage 5G rollouts. The presence of major cloud providers and telecom vendors further strengthens regional dominance. Rising demand for hybrid and multi-cloud governance is reinforcing adoption across large enterprises. North America's emphasis on innovation and digital trust is fostering sustained growth in telecom automation.
Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, fueled by rapid urbanization, expanding mobile penetration, and government-led digital initiatives. Countries such as China, India, and Southeast Asia are investing heavily in telecom automation to support 5G deployments and smart city ecosystems. Local operators are adopting cost-effective automation platforms to strengthen scalability and meet consumer demand. Startups and regional vendors are deploying tailored solutions to accelerate adoption in diverse markets. Government programs promoting digital transformation and connectivity are reinforcing demand.
Key players in the market
Some of the key players in Telecom Network Automation Market include Cisco Systems, Inc., Nokia Corporation, Huawei Technologies Co., Ltd., Telefonaktiebolaget LM Ericsson, Juniper Networks, Inc., Hewlett Packard Enterprise Company (HPE), IBM Corporation, NEC Corporation, Netcracker Technology Corporation, VMware, Inc., Amdocs Limited, Ciena Corporation, Comarch S.A., Infosys Limited and Capgemini SE.
In November 2024, Cisco announced a significant expansion of its Cisco Nexus HyperFabric AI clusters solution, now validated with key telecom partners to automate and unify AI/ML workload management across data center, cloud, and far-edge telecom environments.
In March 2024, Nokia and Google Cloud announced a strategic collaboration to develop cloud-native 5G Core and network automation solutions for communication service providers (CSPs). This partnership aims to leverage Google's AI/ML capabilities to enhance Nokia's network management and orchestration.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.