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市场调查报告书
商品编码
1953492
网路自动化市场 - 全球产业规模、份额、趋势、机会及预测(按组件、部署、基础设施、公司规模、产业垂直领域、地区和竞争格局划分),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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全球网路自动化市场预计将从 2025 年的 62.1 亿美元成长到 2031 年的 197.7 亿美元,复合年增长率达到 21.29%。
此领域利用软体和可程式逻辑来配置、管理和测试实体及虚拟网路设备,从而有效地取代了容易出错的手动操作流程。推动市场发展的主要因素是现代基础设施(例如 5G 和边缘运算)日益复杂,使得传统的手动管理方式难以为继。此外,降低营运成本和加快服务交付速度的迫切需求也是推动该领域应用的重要因素。据 TM Forum 称,已有超过 60 家公司签署了《自主网路宣言》,承诺到 2024 年实现 L4 级自主,这表明业界对这项技术变革的强烈需求。
| 市场概览 | |
|---|---|
| 预测期 | 2027-2031 |
| 市场规模:2025年 | 62.1亿美元 |
| 市场规模:2031年 | 197.7亿美元 |
| 复合年增长率:2026-2031年 | 21.29% |
| 成长最快的细分市场 | 製造业 |
| 最大的市场 | 北美洲 |
儘管发展势头强劲,但将现代自动化工具与传统基础设施整合仍然是限制市场成长的一大障碍。许多企业发现,难以弥合可程式设计的软体定义架构与缺乏必要编配介面的老旧硬体之间的鸿沟。这种不相容性造成了环境碎片化和营运孤岛,阻碍了企业实现完全自主网路营运所需的无缝端到端可视性和控制。
人工智慧和机器学习在预测性网路运作中的应用,正从根本上重塑市场格局,将管理策略从被动故障排除转变为主动保障。随着网路日益复杂,分析海量遥测资料的演算法对于预测拥塞和异常情况至关重要,从而避免服务品质受到影响。连接标准的快速扩展也凸显了这项需求。爱立信在2024年预测,到2029年,全球5G用户数量将达到约56亿,如此庞大的终端规模将使人工监控过时。因此,企业正积极采用智慧工具来确保网路稳定性,思科在2024年5月发布的《2024年全球网路趋势报告》中也强调了这一趋势。报告显示,60%的受访者预计将在所有领域采用人工智慧驱动的预测自动化技术,以简化网路维运。
同时,日益严峻的网路安全威胁使得部署自动化修復能力以保护不断扩大的数位攻击面变得至关重要。现代安全自动化平台不仅能够即时侦测入侵,还能在无需人工干预的情况下即时执行遏制通讯协定,例如隔离受损连接埠和更新存取控制清单。这种能力不仅在营运上必不可少,而且在财务上也至关重要。根据 IBM 于 2024 年 7 月发布的《2024 年资料外洩成本报告》,大规模部署安全人工智慧和自动化技术的组织平均节省了 220 万美元的成本,而未部署此类技术的组织则没有。如此显着的成本节约正激励着各组织将自动化深度嵌入到其安全框架中,以确保其安全韧性能够跟上现代网路攻击的速度和复杂性。
全球网路自动化市场面临的主要阻碍因素之一是现代自动化工具与传统基础设施整合的难度。儘管现代编配平台依赖开放API和标准化资料模型来执行基于意图的命令,但全球大部分通讯基础设施仍由「棕地」设备构成,这些设备原本设计用于手动或透过命令列介面(CLI)进行管理。这种架构上的不一致迫使企业要么建立复杂的自订转换层,要么维护效率低下的双轨运作环境。因此,企业往往只能在网路的孤立区域内进行自动化,而无法实现显着提升营运效率所需的端到端可视性,从而降低投资回报率并延缓自动化技术的广泛应用。
这种技术摩擦导致产业在迈向更高自主化程度的进程中明显停滞不前。可程式设计软体和老旧硬体无法无缝协作,限制了营运商执行基本任务,阻碍了他们实现完全自主决策。根据 2024 年 TM Forum 的一份报告,全球自主网路成熟度的平均水准徘徊在 2.5 级左右,远低于主要服务供应商设定的 4 级目标。这种停滞表明,传统整合方式的复杂性将大多数网路营运锁定在半手动工作流程中,直接限制了市场成长潜力。
网路即服务 (NaaS) 消费模式的转变正在从根本上改变筹资策略,它将网路基础设施从资本密集型资产转变为灵活的订阅模式。这种模式使企业能够快速扩展频宽和服务,以满足不断变化的业务需求,同时将硬体生命週期管理的负担转移给供应商。这种方法在营运和财务方面的吸引力正在市场上迅速蔓延。例如,HPE 在截至 2024 年 9 月的第三季财报中报告称,其 GreenLake NaaS 平台的年收入同比增长 39%,这反映出企业在其环境中寻求类似云端体验的趋势日益增长。
同时,随着企业寻求消除园区、资料中心和广域网路之间的营运孤岛,超自动化正在兴起,它能够实现端到端的网路编配。这一趋势的重点在于采用统一的管理平台,以便在分散式领域中应用一致的策略并实现工作流程自动化,从而取代阻碍敏捷性的碎片化工具集。实现这种全面的可视性正成为一项策略重点。思科于2024年5月发布的《2024年全球网路趋势报告》显示,72%的IT专业人员计划在未来两年内利用跨一个或多个网路域的平台架构来简化管理。这种整合对于支援需要跨多重云端架构无缝连接的复杂数位环境至关重要。
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: