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市場調查報告書
商品編碼
1953492
網路自動化市場 - 全球產業規模、佔有率、趨勢、機會及預測(按組件、部署、基礎設施、公司規模、產業垂直領域、地區和競爭格局分類),2021-2031年Network Automation Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Component, By Deployment, By Infrastructure, By Enterprise Size, By Vertical, By Region & Competition, 2021-2031F |
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全球網路自動化市場預計將從 2025 年的 62.1 億美元成長到 2031 年的 197.7 億美元,複合年成長率達到 21.29%。
此領域利用軟體和可程式邏輯來配置、管理和測試實體及虛擬網路設備,從而有效地取代了容易出錯的手動操作流程。推動市場發展的主要因素是現代基礎設施(例如 5G 和邊緣運算)日益複雜,使得傳統的手動管理方式難以為繼。此外,降低營運成本和加快服務交付速度的迫切需求也是推動該領域應用的重要因素。據 TM Forum 稱,已有超過 60 家公司簽署了《自主網路宣言》,承諾到 2024 年實現 L4 級自主,這表明業界對這項技術變革的強烈需求。
| 市場概覽 | |
|---|---|
| 預測期 | 2027-2031 |
| 市場規模:2025年 | 62.1億美元 |
| 市場規模:2031年 | 197.7億美元 |
| 複合年成長率:2026-2031年 | 21.29% |
| 成長最快的細分市場 | 製造業 |
| 最大的市場 | 北美洲 |
儘管發展勢頭強勁,但將現代自動化工具與傳統基礎設施整合仍然是限制市場成長的一大障礙。許多企業發現,難以彌合可程式設計的軟體定義架構與缺乏必要編配介面的老舊硬體之間的鴻溝。這種不相容性造成了環境碎片化和營運孤島,阻礙了企業實現完全自主網路營運所需的無縫端到端可視性和控制。
人工智慧和機器學習在預測性網路運作中的應用,正從根本上重塑市場格局,將管理策略從被動故障排除轉變為主動保障。隨著網路日益複雜,分析海量遙測資料的演算法對於預測擁塞和異常情況至關重要,從而避免服務品質受到影響。連接標準的快速擴展也凸顯了這項需求。愛立信在2024年預測,到2029年,全球5G用戶數量將達到約56億,如此龐大的終端規模將使人工監控過時。因此,企業正積極採用智慧工具來確保網路穩定性,思科在2024年5月發布的《2024年全球網路趨勢報告》中也強調了這一趨勢。報告顯示,60%的受訪者預計將在所有領域採用人工智慧驅動的預測自動化技術,以簡化網路維運。
同時,日益嚴峻的網路安全威脅使得部署自動化修復能力以保護不斷擴大的數位攻擊面變得至關重要。現代安全自動化平台不僅能夠即時偵測入侵,還能在無需人工干預的情況下即時執行遏制通訊協定,例如隔離受損連接埠和更新存取控制清單。這種能力不僅在營運上必不可少,而且在財務上也至關重要。根據 IBM 於 2024 年 7 月發布的《2024 年資料外洩成本報告》,大規模部署安全人工智慧和自動化技術的組織平均節省了 220 萬美元的成本,而未部署此類技術的組織則沒有。如此顯著的成本節約正激勵著各組織將自動化深度嵌入到其安全框架中,以確保其安全韌性能夠跟上現代網路攻擊的速度和複雜性。
全球網路自動化市場面臨的主要阻礙因素之一是現代自動化工具與傳統基礎設施整合的難度。儘管現代編配平台依賴開放API和標準化資料模型來執行基於意圖的命令,但全球大部分通訊基礎設施仍由「棕地」設備構成,這些設備原本設計用於手動或透過命令列介面(CLI)進行管理。這種架構上的不一致迫使企業要麼建立複雜的自訂轉換層,要麼維護效率低下的雙軌運作環境。因此,企業往往只能在網路的孤立區域內進行自動化,而無法實現顯著提升營運效率所需的端到端可視性,從而降低投資回報率並延緩自動化技術的廣泛應用。
這種技術摩擦導致產業在邁向更高自主化程度的進程中明顯停滯不前。可程式設計軟體和老舊硬體無法無縫協作,限制了營運商執行基本任務,阻礙了他們實現完全自主決策。根據 2024 年 TM Forum 的一份報告,全球自主網路成熟度的平均水準徘徊在 2.5 級左右,遠低於主要服務供應商設定的 4 級目標。這種停滯表明,傳統整合方式的複雜性將大多數網路營運鎖定在半手動工作流程中,直接限制了市場成長潛力。
網路即服務 (NaaS) 消費模式的轉變正在從根本上改變籌資策略,它將網路基礎設施從資本密集型資產轉變為靈活的訂閱模式。這種模式使企業能夠快速擴展頻寬和服務,以滿足不斷變化的業務需求,同時將硬體生命週期管理的負擔轉移給供應商。這種方法在營運和財務方面的吸引力正在市場上迅速蔓延。例如,HPE 在截至 2024 年 9 月的第三季財報中報告稱,其 GreenLake NaaS 平台的年收入同比成長 39%,這反映出企業在其環境中尋求類似雲端體驗的趨勢日益成長。
同時,隨著企業尋求消除園區、資料中心和廣域網路之間的營運孤島,超自動化正在興起,它能夠實現端到端的網路編配。這一趨勢的重點在於採用統一的管理平台,以便在分散式領域中應用一致的策略並實現工作流程自動化,從而取代阻礙敏捷性的碎片化工具集。實現這種全面的可視性正成為一項策略重點。思科於2024年5月發布的《2024年全球網路趨勢報告》顯示,72%的IT專業人員計劃在未來兩年內利用跨一個或多個網路域的平台架構來簡化管理。這種整合對於支援需要跨多重雲端架構無縫連接的複雜數位環境至關重要。
The Global Network Automation Market is projected to expand from USD 6.21 Billion in 2025 to USD 19.77 Billion by 2031, achieving a CAGR of 21.29%. This sector involves using software and programmable logic to provision, configure, manage, and test both physical and virtual network devices, effectively replacing manual, error-prone operational workflows. The market is primarily propelled by the increasing complexity of modern infrastructures, such as 5G and edge computing, which make traditional manual management unsustainable. Additionally, the critical need to lower operational costs and accelerate service delivery speeds acts as a major catalyst for adoption. According to the TM Forum, over 60 companies signed the Autonomous Networks Manifesto in 2024, committing to reach Level 4 autonomy, which underscores the industry's strong dedication to this technological evolution.
| Market Overview | |
|---|---|
| Forecast Period | 2027-2031 |
| Market Size 2025 | USD 6.21 Billion |
| Market Size 2031 | USD 19.77 Billion |
| CAGR 2026-2031 | 21.29% |
| Fastest Growing Segment | Manufacturing |
| Largest Market | North America |
Despite this momentum, the challenge of integrating modern automation tools with legacy infrastructure remains a substantial hurdle to market growth. Many organizations find it difficult to bridge the gap between programmable software-defined architectures and aging hardware that lacks the necessary interfaces for orchestration. This incompatibility results in fragmented environments and operational silos, preventing enterprises from attaining the seamless end-to-end visibility and control needed for fully autonomous network operations.
Market Driver
The incorporation of AI and Machine Learning into predictive network operations is fundamentally reshaping the market by shifting management strategies from reactive troubleshooting to proactive assurance. As networks grow increasingly intricate, algorithms are indispensable for analyzing massive amounts of telemetry data to forecast congestion and anomalies before service quality is compromised. This need is highlighted by the rapid expansion of connectivity standards; Ericsson forecast in 2024 that global 5G subscriptions would reach nearly 5.6 billion by 2029, creating a scale of endpoints that makes manual oversight obsolete. Consequently, enterprises are aggressively adopting intelligent tools to ensure stability, a trend noted by Cisco in their May 2024 '2024 Global Networking Trends Report', which found that 60% of respondents anticipate using AI-enabled predictive automation across all domains to simplify network operations.
Simultaneously, escalating cybersecurity threats are driving the essential adoption of automated remediation capabilities to secure expanding digital attack surfaces. Modern security automation platforms go beyond real-time breach detection to execute immediate containment protocols, such as isolating compromised ports or updating access control lists, without human intervention. This capability is both operationally necessary and financially vital; according to IBM's 'Cost of a Data Breach Report 2024' released in July 2024, organizations that extensively deployed security AI and automation saved an average of $2.2 million compared to those that did not. This significant cost avoidance motivates organizations to deeply embed automation into their security frameworks, ensuring resilience matches the speed and sophistication of modern cyberattacks.
Market Challenge
The difficulty of integrating modern automation tools with legacy infrastructure serves as a primary constraint on the Global Network Automation Market. Although contemporary orchestration platforms depend on open Application Programming Interfaces (APIs) and standardized data models to carry out intent-based directives, a large portion of the global telecommunications footprint comprises "brownfield" equipment designed for manual, Command Line Interface (CLI)-driven management. This architectural mismatch forces organizations to create complex custom translation layers or sustain inefficient dual operating environments. As a result, enterprises often limit automation to isolated network domains rather than realizing the end-to-end visibility necessary for significant operational efficiency, thereby diminishing the return on investment and slowing broader adoption.
This technical friction has led to measurable stagnation in the industry's progress toward higher levels of autonomy. The failure to seamlessly bridge programmable software with aging hardware restricts operators to basic task execution, preventing a shift to fully autonomous decision-making. According to the TM Forum in 2024, the global industry average for autonomous network maturity hovered at approximately Level 2.5, falling significantly short of the Level 4 targets set by leading service providers. This stagnation indicates that the complexity of legacy integration is directly capping the market's growth potential by keeping the majority of network operations tethered to semi-manual workflows.
Market Trends
The transition toward Network-as-a-Service (NaaS) consumption models is fundamentally changing procurement strategies by enabling organizations to access network infrastructure as a flexible subscription rather than a capital-heavy asset. This model permits enterprises to rapidly scale bandwidth and services to meet fluctuating business needs while transferring the burden of hardware lifecycle management to vendors. The operational and financial appeal of this approach is driving significant market traction; for instance, HPE reported in its fiscal third quarter results in September 2024 that the annualized revenue run rate for its GreenLake NaaS platform increased by 39% year-over-year, reflecting a growing enterprise preference for cloud-like consumption experiences within their own environments.
Concurrently, the emergence of hyperautomation for end-to-end network orchestration is gaining prominence as organizations strive to dismantle operational silos between campus, data center, and wide area networks. This trend focuses on deploying unified management platforms capable of enforcing consistent policies and automating workflows across disparate domains, replacing fragmented toolsets that impede agility. Achieving this holistic visibility is becoming a strategic priority; Cisco's May 2024 '2024 Global Networking Trends Report' notes that 72% of IT professionals plan to leverage a platform architecture across one or more networking domains within the next two years to streamline management. This consolidation is essential for supporting complex digital environments where seamless connectivity across multi-cloud architectures is required.
Report Scope
In this report, the Global Network Automation Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
Company Profiles: Detailed analysis of the major companies present in the Global Network Automation Market.
Global Network Automation Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report: