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市場調查報告書
商品編碼
2071272

網路自動化市場機會、成長要素、產業趨勢分析及2026-2035年預測

Network Automation Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2026 - 2035
出版日期: | 出版商: Global Market Insights Inc. | 英文 285 Pages | 商品交期: 2-3個工作天內

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簡介目錄

全球網路自動化市場預計到 2025 年將達到 73 億美元，年複合成長率為 15%，到 2035 年將達到 296 億美元。

網路自動化市場-IMG1

隨著企業擴大採用具備人工智慧、機器學習和高級分析功能的自動化解決方案來即時監控和最佳化網路效能、安全性和營運效率，網路自動化市場正在迅速擴張。各行業對可擴展、可靠且具有自癒能力的網路基礎設施的需求不斷成長，以及向雲端運算和軟體定義環境的加速轉型，都顯著推動了這一趨勢。不斷變化的監管要求和合規標準也進一步促進了網路自動化市場的成長，迫使企業對其傳統IT系統進行現代化改造。企業越來越重視提高網路可靠性、減少停機時間和增強網路安全彈性，從而加速了通訊、雲端和企業生態系統中自動化網路解決方案的普及。隨著網路環境日益複雜，自動化在最大限度地減少人為干預、防止服務中斷和確保穩定的營運效能方面發揮著至關重要的作用。即時遙測、人工智慧驅動的分析和多層自動化框架等先進技術能夠持續監控網路流量模式、基礎設施健康狀況和使用者活動。這些功能整合到智慧網路架構中，支援主動故障偵測、自動化修復流程、動態工作負載平衡和自適應服務交付模式。因此，企業在維持更高網路穩定性和效能的同時，顯著提升了營運效率。

市場範圍
開始年份 2025
預測期 2026-2035
上市時的市場規模 73億美元
預測金額 296億美元
複合年成長率 15%

預計到2025年，軟體領域將佔據68.4%的市場佔有率，並在2026年至2035年間以14.8%的複合年成長率成長。該領域透過實現集中式編配、配置管理和基礎設施控制，構成了現代網路自動化生態系統的核心。由瞻博網路（Juniper Networks）、VMware和思科系統（Cisco Systems）等業界領先企業開發的軟體平台正日益支持意圖式網路模型，在這種模型中，使用者預先定義預期結果，系統將自動據此配置網路環境。人工智慧驅動的自動化功能的整合進一步提升了網路自動化軟體解決方案的效率、智慧性和適應性。

預計到2025年，雲端網路領域的市佔率將達到27.7%，並在2026年至2035年間以16.1%的複合年成長率成長。這一領域的成長主要得益於企業向混合雲和多重雲端基礎設施的廣泛轉型。各組織擴大採用自動化工具來管理分散式雲端環境中的工作負載、執行安全性策略並保持配置一致性。容器化工作負載、基於Kubernetes的部署以及以API為中心的架構的日益普及，進一步提升了雲端原生網路環境中對自動化編配的需求。

預計到2025年，中國網路自動化市場將佔據38.3%的全球市場佔有率，市場規模將達到5.568億美元。這項市場擴張主要得益於雲端原生技術、軟體定義網路（SDN）的快速發展，以及企業和通訊業者對SD-WAN的日益普及。國內領先的技術供應商正大力投資於人工智慧驅動的網路自動化解決方案，旨在支援網路的自我最佳化、自我修復和意圖驅動型管理。在效率、可擴展性和即時最佳化至關重要的大規模5G網路和資料中心基礎設施中，這一趨勢尤其顯著。

目錄

第1章：調查方法

第2章執行摘要

第3章 行業洞察

  • 產業生態系分析
    • 供應商情況
    • 利潤率分析
    • 成本結構
    • 每個階段增加的價值
    • 影響價值鏈的因素
    • 中斷
  • 影響產業的因素
    • 促進因素
      • 對網路效率和成本最佳化的需求日益成長。
      • 雲端運算和虛擬化的發展
      • 5G和邊緣運算的擴展
      • 網路複雜性和規模不斷增加
    • 產業潛在風險與挑戰
      • 前期投資高，整合複雜。
      • 技能差距和勞動力準備情況
    • 市場機遇
      • 實施人工智慧驅動的網路自動化（AIOps）
      • 企業數位轉型 (DX) 計畫的擴展
      • 擴展意圖式網路（IBN）
  • 成長潛力分析
  • 技術與創新展望
    • 最新科技趨勢
    • 新興技術
  • 價格分析
    • 對過去價格趨勢的分析
    • 定價策略：按業務類型分類
  • 監理情勢
    • 北美洲
      • 聯邦機動車輛安全標準
      • 美國國家公路交通安全管理局 (NHTSA) 關於駕駛員監控和高級駕駛輔助系統的指導方針。
      • 加州消費者隱私法案
      • 伊利諾伊州生物辨識隱私法案
    • 歐洲
      • 歐盟通用安全法規
      • 一般資料保護規則
      • 聯合國歐洲經濟委員會關於網路安全和軟體更新的規定（R155、R156）
      • 各國車輛類型認證要求
    • 亞太地區
      • 個人資訊保護法
      • 網路安全法
      • 資料安全法
      • 汽車資料安全管理相關法規
      • 中央機動車輛法規
    • 拉丁美洲
      • 一般資料保護法
      • 國家交通委員會決議
      • 國家交通管理局
    • 中東和非洲
      • 沙烏地阿拉伯個人資料保護法
      • 沙烏地阿拉伯標準、計量和品質研究院（SSMQO）規章
      • 海灣標準組織（GSO）標準
  • 波特的分析
  • PESTLE分析
  • 專利分析
  • 成本細分分析
  • 人工智慧和生成式人工智慧對市場的影響
    • 利用人工智慧改造現有經營模式
    • 按細分市場分類的生成式人工智慧用例和部署藍圖
    • 風險、限制和監管考量
  • 永續性和環境方面
    • 永續計劃
    • 減少廢棄物策略
    • 生產中的能源效率
    • 具有環保意識的舉措
    • 考慮碳足跡
  • 預測假設和情境分析
    • 基本案例：驅動複合年成長率的關鍵宏觀經濟與產業變量
    • 樂觀情境：宏觀經濟與產業的順風
    • 悲觀情景：宏觀經濟放緩或產業逆風

第4章 競爭情勢

  • 介紹
  • 企業市佔率分析
    • 北美洲
    • 歐洲
    • 亞太地區
    • LATAM
    • 中東和非洲
  • 主要市場公司的競爭分析
  • 競爭定位矩陣
  • 主要進展
    • 併購
    • 夥伴關係和聯盟
    • 新產品發布
    • 業務拓展計劃及資金籌措
  • 按公司規模進行基準測試
    • 排名分類標準與遴選標準
    • 按銷售額、地區和創新能力分類的層級定位矩陣。

第5章 市場估計與預測：依組件分類，2022-2035年

  • 軟體
    • 基於意圖的網路
    • SD-WAN
    • 網路自動化與編配
  • 服務
    • 專業服務
    • 託管服務

第6章 市場估價與預測：依網路類型分類，2022-2035年

  • LAN
  • WAN
  • 資料中心網路
  • 雲端網路

第7章 市場估算與預測：依網路基礎設施分類，2022-2035年

  • 實體網路
  • 虛擬性
  • 混合

第8章 市場估算與預測：依發展階段分類，2022-2035年

  • 現場
  • 雲

第9章 市場估計與預測：依應用領域分類，2022-2035年

  • 資訊科技/通訊
  • BFSI
  • 衛生保健
  • 製造業
  • 能源公用事業
  • 零售
  • 其他

第10章 市場估價與預測：依地區分類，2022-2035年

  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 義大利
    • 西班牙
    • 俄羅斯
    • 挪威
    • 荷蘭
    • 瑞典
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 澳洲
    • 韓國
    • 新加坡
    • 泰國
    • 印尼
    • 越南
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 阿根廷
  • 中東和非洲
    • 南非
    • 沙烏地阿拉伯
    • UAE
    • 土耳其

第11章：公司簡介

  • 世界公司
    • Cisco Systems
    • Juniper Networks
    • Huawei Technologies
    • Hewlett Packard Enterprise（HPE）
    • IBM
    • VMware
    • Nokia Corporation
    • Ericsson
    • Arista Networks
    • F5 Networks
  • 當地公司
    • NEC Corporation
    • Tata Consultancy Services（TCS）
    • Infosys
    • Wipro
    • HCL Technologies
    • Micro Focus
  • 新興企業/顛覆者
    • NetBrain Technologies
    • Apstra
    • BlueCat Networks
    • SolarWinds
    • Red Hat
    • Forward Networks
    • Itential
    • Alkira
簡介目錄
Product Code: 2805

The Global Network Automation Market was valued at USD 7.3 billion in 2025 and is estimated to grow at a CAGR of 15% to reach USD 29.6 billion by 2035.

Network Automation Market - IMG1

The market is witnessing rapid expansion as enterprises increasingly deploy AI, machine learning, and advanced analytics-enabled automation solutions to monitor and optimize network performance, security, and operational efficiency in real time. The rising demand for scalable, reliable, and self-healing network infrastructures, combined with the accelerating shift toward cloud computing and software-defined environments, is significantly boosting adoption across industries. The growth of the network automation market is further reinforced by evolving regulatory requirements and compliance standards that are compelling organizations to modernize legacy IT systems. Enterprises are placing greater emphasis on improving network reliability, reducing downtime, and strengthening cybersecurity resilience, which is accelerating the deployment of automated networking solutions across telecom, cloud, and enterprise ecosystems. As network environments become increasingly complex, automation plays a critical role in minimizing human intervention, preventing service disruptions, and ensuring consistent operational performance. Advanced technologies such as real-time telemetry, AI-driven analytics, and multi-layer automation frameworks are enabling continuous visibility into network traffic patterns, infrastructure health, and user activity. These capabilities are being integrated into intelligent network architectures that support proactive fault detection, automated remediation processes, dynamic workload balancing, and adaptive service delivery models. As a result, organizations are achieving improved operational efficiency while maintaining higher levels of network stability and performance.

Market Scope
Start Year2025
Forecast Year2026-2035
Start Value$7.3 Billion
Forecast Value$29.6 Billion
CAGR15%

The software segment accounted for a 68.4% share in 2025 and is projected to grow at a CAGR of 14.8% from 2026 to 2035. This segment forms the core of modern network automation ecosystems by enabling centralized orchestration, configuration management, and infrastructure control. Software platforms developed by key industry players such as Juniper Networks, VMware, and Cisco Systems are increasingly supporting intent-based networking models, where desired outcomes are defined and systems automatically configure network environments accordingly. The integration of AI-powered automation capabilities is further enhancing the efficiency, intelligence, and adaptability of network automation software solutions.

The cloud network segment held a 27.7% share in 2025 and is expected to grow at a CAGR of 16.1% from 2026 to 2035. Growth in this segment is driven by the widespread shift toward hybrid and multi-cloud infrastructures across enterprises. Organizations are increasingly deploying automation tools to manage workload distribution, enforce security policies, and maintain configuration consistency across distributed cloud environments. The rising adoption of containerized workloads, Kubernetes-based deployments, and API-centric architectures is further intensifying the need for automated orchestration in cloud-native networking environments.

China Network Automation Market held a 38.3% share and generated USD 556.8 million in 2025. The country's market expansion is supported by rapid advancements in cloud-native technologies, software-defined networking, and SD-WAN adoption across enterprises and telecom operators. Major domestic technology providers are heavily investing in AI-powered network automation solutions designed to support self-optimizing, self-healing, and intent-driven network management. These developments are particularly prominent in large-scale 5G networks and data center infrastructures, where efficiency, scalability, and real-time optimization are critical.

Key companies operating in the Global Network Automation Market include Cisco Systems, IBM, Juniper Networks, Hewlett Packard Enterprise (HPE), Huawei Technologies, VMware, Arista Networks, Fortinet, and Nokia. Companies in the network automation market are adopting a range of strategic initiatives to strengthen their competitive positioning and expand market presence. Continuous investment in artificial intelligence, machine learning, and predictive analytics is enabling the development of more intelligent and autonomous networking solutions. Vendors are increasingly focusing on intent-based networking platforms that simplify network management and enhance operational efficiency. Strategic partnerships with telecom operators, cloud providers, and enterprise customers are supporting large-scale deployment of automation solutions. Companies are also prioritizing cloud-native architecture development, API-driven integration capabilities, and multi-domain orchestration frameworks. Expansion into emerging digital economies, combined with strong focus on cybersecurity-enhanced automation tools, is further reinforcing market penetration.

Table of Contents

Chapter 1 Methodology

  • 1.1 Research approach
  • 1.2 Quality Commitments
    • 1.2.1 GMI AI policy & data integrity commitment
      • 1.2.1.1 Source consistency protocol
  • 1.3 Research Trail & Confidence Scoring
    • 1.3.1 Research Trail Components
    • 1.3.2 Scoring Components
  • 1.4 Data Collection
    • 1.4.1 Partial list of primary sources
  • 1.5 Data mining sources
    • 1.5.1 Paid sources
      • 1.5.1.1 Sources, by region
  • 1.6 Base estimates and calculations
    • 1.6.1 Base year calculation for any one approach
  • 1.7 Forecast model
    • 1.7.1 Quantified market impact analysis
      • 1.7.1.1 Mathematical impact of growth parameters on forecast
  • 1.8 Research transparency addendum
    • 1.8.1 Source attribution framework
    • 1.8.2 Quality assurance metrics
    • 1.8.3 Our commitment to trust

Chapter 2 Executive Summary

  • 2.1 Industry 360° synopsis, 2022 - 2035
  • 2.2 Key market trends
    • 2.2.1 Regional
    • 2.2.2 Component
    • 2.2.3 Network Type
    • 2.2.4 Network infrastructure
    • 2.2.5 Deployment mode
    • 2.2.6 Application
  • 2.3 TAM Analysis, 2026-2035
  • 2.4 CXO perspectives: Strategic imperatives

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
    • 3.1.1 Supplier landscape
    • 3.1.2 Profit margin analysis
    • 3.1.3 Cost structure
    • 3.1.4 Value addition at each stage
    • 3.1.5 Factor affecting the value chain
    • 3.1.6 Disruptions
  • 3.2 Industry impact forces
    • 3.2.1 Growth drivers
      • 3.2.1.1 Rising demand for network efficiency and cost optimization
      • 3.2.1.2 Growth of cloud computing and virtualization
      • 3.2.1.3 Expansion of 5G and edge computing
      • 3.2.1.4 Increasing network complexity and scale
    • 3.2.2 Industry pitfalls and challenges
      • 3.2.2.1 High initial investment and integration complexity
      • 3.2.2.2 Skill gaps and workforce readiness
    • 3.2.3 Market opportunities
      • 3.2.3.1 Adoption of AI-driven network automation (AIOps)
      • 3.2.3.2 Growth in enterprise digital transformation initiatives
      • 3.2.3.3 Expansion of intent-based networking (IBN)
  • 3.3 Growth potential analysis
  • 3.4 Technology and innovation landscape
    • 3.4.1 Current technological trends
    • 3.4.2 Emerging technologies
  • 3.5 Pricing Analysis (Driven by primary research)
    • 3.5.1 Historical Price Trend Analysis
    • 3.5.2 Pricing Strategy by Player Type
  • 3.6 Regulatory landscape
    • 3.6.1 North America
      • 3.6.1.1 Federal Motor Vehicle Safety Standards
      • 3.6.1.2 National Highway Traffic Safety Administration Driver Monitoring and Advanced Driver Assistance Guidelines
      • 3.6.1.3 California Consumer Privacy Act
      • 3.6.1.4 Illinois Biometric Information Privacy Act
    • 3.6.2 Europe
      • 3.6.2.1 EU General Safety Regulation
      • 3.6.2.2 General Data Protection Regulation
      • 3.6.2.3 UNECE cybersecurity and software update regulations (R155, R156)
      • 3.6.2.4 National vehicle homologation requirements
    • 3.6.3 Asia Pacific
      • 3.6.3.1 Personal Information Protection Law
      • 3.6.3.2 Cybersecurity Law
      • 3.6.3.3 Data Security Law
      • 3.6.3.4 Provisions on Automotive Data Security Management
      • 3.6.3.5 Central Motor Vehicles Rules
    • 3.6.4 Latin America
      • 3.6.4.1 General Data Protection Law
      • 3.6.4.2 National Traffic Council Resolutions
      • 3.6.4.3 National Department of Traffic Regulations
    • 3.6.5 Middle East & Africa
      • 3.6.5.1 Saudi Personal Data Protection Law
      • 3.6.5.2 Saudi Standards, Metrology and Quality Organization Regulations
      • 3.6.5.3 Gulf Standardization Organization Standards
  • 3.7 Porter's analysis
  • 3.8 PESTEL analysis
  • 3.9 Patent analysis (Driven by primary research)
  • 3.10 Cost breakdown analysis
  • 3.11 Impact of AI and Generative AI on the Market
    • 3.11.1 AI Driven Disruption of Existing Business Models
    • 3.11.2 GenAI Use Cases and Adoption Roadmap by Segment
    • 3.11.3 Risks Limitations and Regulatory Considerations
  • 3.12 Sustainability and environmental aspects
    • 3.12.1 Sustainable practices
    • 3.12.2 Waste reduction strategies
    • 3.12.3 Energy efficiency in production
    • 3.12.4 Eco-friendly Initiatives
    • 3.12.5 Carbon footprint considerations
  • 3.13 Forecast assumptions & scenario analysis (Driven by Primary Research)
    • 3.13.1 Base Case- Key Macro & Industry Variables Driving CAGR
    • 3.13.2 Optimistic Scenarios- Favorable macro and industry tailwinds
    • 3.13.3 Pessimistic Scenario - Macroeconomic slowdown or industry headwinds

Chapter 4 Competitive Landscape, 2025

  • 4.1 Introduction
  • 4.2 Company market share analysis
    • 4.2.1 North America
    • 4.2.2 Europe
    • 4.2.3 Asia Pacific
    • 4.2.4 LATAM
    • 4.2.5 MEA
  • 4.3 Competitive analysis of major market players
  • 4.4 Competitive positioning matrix
  • 4.5 Key developments
    • 4.5.1 Mergers & acquisitions
    • 4.5.2 Partnerships & collaborations
    • 4.5.3 New Product Launches
    • 4.5.4 Expansion Plans and funding
  • 4.6 Company tier benchmarking
    • 4.6.1 Tier classification criteria & qualifying thresholds
    • 4.6.2 Tier positioning matrix by revenue, geography & innovation

Chapter 5 Market Estimates & Forecast, By Component, 2022 - 2035 (USD Mn)

  • 5.1 Key trends
  • 5.2 Software
    • 5.2.1 Intent-based networking
    • 5.2.2 SD-WAN
    • 5.2.3 Network automation & orchestration
  • 5.3 Services
    • 5.3.1 Professional services
    • 5.3.2 Managed services

Chapter 6 Market Estimates & Forecast, By Network Type, 2022 - 2035 (USD Mn)

  • 6.1 Key trends
  • 6.2 LAN
  • 6.3 WAN
  • 6.4 Data center networks
  • 6.5 Cloud networks

Chapter 7 Market Estimates & Forecast, By Network Infrastructure, 2022 - 2035 (USD Mn)

  • 7.1 Key trends
  • 7.2 Physical
  • 7.3 Virtual
  • 7.4 Hybrid

Chapter 8 Market Estimates & Forecast, By Deployment, 2022 - 2035 (USD Mn)

  • 8.1 Key trends
  • 8.2 On premises
  • 8.3 Cloud

Chapter 9 Market Estimates & Forecast, By Application, 2022 - 2035 (USD Mn)

  • 9.1 Key trends
  • 9.2 IT & Telecom
  • 9.3 BFSI
  • 9.4 Healthcare
  • 9.5 Manufacturing
  • 9.6 Energy & Utilities
  • 9.7 Retail
  • 9.8 Others

Chapter 10 Market Estimates & Forecast, By Region, 2022 - 2035 (USD Mn)

  • 10.1 Key trends
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 France
    • 10.3.4 Italy
    • 10.3.5 Spain
    • 10.3.6 Russia
    • 10.3.7 Norway
    • 10.3.8 Netherlands
    • 10.3.9 Sweden
  • 10.4 Asia Pacific
    • 10.4.1 China
    • 10.4.2 India
    • 10.4.3 Japan
    • 10.4.4 Australia
    • 10.4.5 South Korea
    • 10.4.6 Singapore
    • 10.4.7 Thailand
    • 10.4.8 Indonesia
    • 10.4.9 Vietnam
  • 10.5 Latin America
    • 10.5.1 Brazil
    • 10.5.2 Mexico
    • 10.5.3 Argentina
  • 10.6 MEA
    • 10.6.1 South Africa
    • 10.6.2 Saudi Arabia
    • 10.6.3 UAE
    • 10.6.4 Turkey

Chapter 11 Company Profiles

  • 11.1 Global Players
    • 11.1.1 Cisco Systems
    • 11.1.2 Juniper Networks
    • 11.1.3 Huawei Technologies
    • 11.1.4 Hewlett Packard Enterprise (HPE)
    • 11.1.5 IBM
    • 11.1.6 VMware
    • 11.1.7 Nokia Corporation
    • 11.1.8 Ericsson
    • 11.1.9 Arista Networks
    • 11.1.10 F5 Networks
  • 11.2 Regional Players
    • 11.2.1 NEC Corporation
    • 11.2.2 Tata Consultancy Services (TCS)
    • 11.2.3 Infosys
    • 11.2.4 Wipro
    • 11.2.5 HCL Technologies
    • 11.2.6 Micro Focus
  • 11.3 Emerging Players / Disruptors
    • 11.3.1 NetBrain Technologies
    • 11.3.2 Apstra
    • 11.3.3 BlueCat Networks
    • 11.3.4 SolarWinds
    • 11.3.5 Red Hat
    • 11.3.6 Forward Networks
    • 11.3.7 Itential
    • 11.3.8 Alkira