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市場調查報告書
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2061354

軟體定義網路 (SDN) 市場：市場機會、成長促進因素、產業趨勢分析與未來預測 (2026-2035)

Software Defined Networking Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2026 - 2035
出版日期: | 出版商: Global Market Insights Inc. | 英文 310 Pages | 商品交期: 2-3個工作天內

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簡介目錄

2025 年全球軟體定義網路 (SDN) 市值為 357 億美元，預計到 2035 年將達到 2062 億美元，複合年成長率為 19.3%。

軟體定義網路市場-IMG1

這一強勁的市場擴張源於現代數位基礎設施環境中對柔軟性、擴充性和自動化網路管理解決方案日益成長的需求。隨著企業擴大跨多個雲端生態系運行工作負載，對跨分散式環境的集中式網路視覺性和無縫策略管理的需求也日益成長。軟體定義網路 (SDN) 使企業能夠有效率地管理網路流量、安全策略和資源分配，而無需進行大規模的硬體變更。大型資料中心、虛擬化網路和雲端原生應用日益複雜，加速了可程式網路技術的普及。企業也利用 SDN 實現網路配置自動化、最佳化營運效率並縮短部署時間。先進通訊技術的日益普及、邊緣運算基礎設施的擴展以及人工智慧 (AI) 工作負載的日益廣泛應用，進一步加劇了對擴充性和智慧網路架構的需求。此外，對即時流量管理、網路柔軟性和增強型安全功能的需求也持續推動著整個軟體定義網路產業的快速成長。

市場範圍
開始年份 2025
預測期 2026-2035
初始市場規模 357億美元
市場規模預測 2062億美元
複合年成長率 19.3%

此外，隨著旨在提升網路敏捷性和簡化網路維運的新一代網路基礎設施解決方案的日益普及，該市場也從中受益。 SDN 技術支援自動化流量工程、網路虛擬化和分散式運算資源的高效管理，因此正日益融入企業環境。雲端應用和高效能資料處理系統的廣泛應用，正推動企業採用能夠應對動態工作負載需求的智慧網路解決方案。對集中式編配和策略主導網路管理日益成長的需求，也進一步促進了軟體定義網路技術在全球的普及。

預計到2025年，解決方案細分市場將佔據67%的市場佔有率，並在2026年至2035年間以18.7%的複合年成長率成長。各組織正在加速向基於訂閱和雲端交付的SDN解決方案遷移，以增強營運柔軟性並支援永續的收入模式。人工智慧（AI）技術與SDN平台的整合，正在提升企業級和大規模部署中的網路最佳化、預測分析和自動化流量管理能力。隨著企業不斷將複雜的網路營運外包以提高效率並解決技術人才短缺問題，對託管SDN服務日益成長的需求也推動了該細分市場的成長。

預計到2025年，大型企業市佔率將達到67.2%，並在2035年之前以18.6%的複合年成長率成長。大型企業正在資料中心、廣域網路和企業園區快速部署軟體定義網路（SDN）技術，以增強集中管理並提升基於策略的網路安全。混合雲端策略的日益普及也推動企業部署SDN解決方案，以實現分散式網路資源的無縫編配。運行關鍵業務工作負載的企業正在擴大軟體定義網路技術的應用範圍，以確保其複雜IT環境中的高網路可用性、可擴展性和運作一致性。

美國軟體定義網路 (SDN) 市場預計到 2025 年將達到 114 億美元，並在 2026 年至 2035 年期間以 19.7% 的複合年成長率成長。美國市場成長的主要驅動力是先進雲端基礎設施的日益普及以及對能夠支援大規模數位化營運的可程式網路解決方案日益成長的需求。人工智慧 (AI) 應用和雲端服務的日益普及進一步推動了對自動化網路管理和智慧流量最佳化技術的需求。此外，美國企業正在混合運算和邊緣運算環境中擴展 SDN 解決方案的部署，以提高營運敏捷性、可擴展性和整體網路效能。

目錄

第1章：分析方法和範圍

第2章執行摘要

第3章業界考察

  • 產業生態系分析
    • 供應商情況
    • 利潤率
    • 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
      • 混合雲和多重雲端基礎設施的採用率不斷提高
      • 網路自動化和編配的需求日益成長
      • 5G和邊緣運算網路的擴展
      • 對敏捷且擴充性的資料中心網路的需求日益成長。
    • 產業潛在風險與挑戰
      • 集中式控制架構中的安全漏洞
      • 與傳統網路基礎設施整合的複雜性
    • 市場機遇
      • 物聯網網路管理中的SDN引入
      • 通訊網路虛擬化應用範圍的擴大
      • 開放原始碼SDN平台的發展
      • 網路即服務 (NaaS) 解決方案的需求日益成長
  • 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：依公司類型分類（高階、超值、成本加成）
  • 監理情勢
    • 北美洲
      • 美國聯邦通訊委員會（FCC）：美國
      • 加拿大創新、科學與經濟發展部（ISED）：加拿大
    • 歐洲
      • 歐盟委員會（EC）
      • 歐洲電信標準協會（ETSI）
    • 亞太地區
      • 印度通訊與資訊科技部（MCIT）：印度
      • 內務部（MIC）：日本
    • 拉丁美洲
      • 巴西國家通訊局（ANATEL）
      • 阿根廷政府創新機構（ENACOM）：阿根廷
    • 中東和非洲
      • 通訊與數位政府監管局（TDRA）：阿拉伯聯合大公國
      • 通訊、太空與技術委員會（CST）：沙烏地阿拉伯
  • 波特五力分析
  • 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
    • 生成式人工智慧的應用案例和實施藍圖：按細分市場分類
    • 風險、限制和監管方面的考慮
  • 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
  • 公司市佔率分析
    • 北美洲
    • 歐洲
    • 亞太地區
    • 拉丁美洲
    • 中東和非洲
  • 主要公司的競爭分析
  • 競爭定位矩陣
  • 主要趨勢
    • 企業合併（M&A）
    • 商業夥伴關係與合作
    • 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
    • 公司層級定位矩陣：依收入、地區、創新能力分類。

第5章 市場估算與預測：依組件分類（2022-2035 年）

  • 解決方案
    • SDN控制器
    • SDN 應用軟體
    • 雲端虛擬化解決方案
    • SDN交換機
  • 服務
    • 專業服務
    • 託管服務

第6章 市場估算與預測：依SDN架構分類（2022-2035年）

  • Open SDN
  • 透過 API 實現 SDN
  • 透過覆蓋網路實現的SDN
  • 混合SDN

第7章 市場估計與預測：依應用領域分類（2022-2035 年）

  • SD-WAN
  • SD-LAN
  • 安全使用
  • 其他

第8章 市場估計與預測：依公司規模分類（2022-2035 年）

  • 小型企業
  • 大公司

第9章 市場估算與預測：依最終用途分類（2022-2035 年）

  • 公司
    • 銀行、金融服務和保險業 (BFSI)
    • 消費品和零售
    • 政府/國防
    • 醫療保健
    • 製造業
    • 教育
    • 其他
  • 電信服務供應商
  • 雲端服務供應商
  • 資料中心

第10章 市場估價與預測：按地區分類（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
    • 北歐的
    • 俄羅斯
    • 波蘭
    • 羅馬尼亞
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 韓國
    • ANZ
    • 越南
    • 印尼
    • 菲律賓
  • 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

第11章：公司簡介

  • 世界公司
    • Arista Networks
    • Cisco Systems
    • Ericsson
    • Extreme Networks
    • Hewlett Packard Enterprise（HPE）
    • Huawei Technologies
    • IBM
    • Nokia
    • VMware（Broadcom）
  • 當地公司
    • Aryaka Networks
    • H3C Technologies
    • IP Infusion
    • NEC
    • Pica8
    • Pluribus Networks
    • Versa Networks
    • ZTE
  • 新興企業
    • Alkira
    • Aviatrix Systems
    • Prosimo
簡介目錄
Product Code: 2395

The Global Software Defined Networking Market was valued at USD 35.7 billion in 2025 and is estimated to grow at a CAGR of 19.3% to reach USD 206.2 billion by 2035.

Software Defined Networking Market - IMG1

Strong market expansion is driven by the increasing demand for flexible, scalable, and automated network management solutions across modern digital infrastructure environments. Organizations are increasingly operating workloads across multiple cloud ecosystems, creating a growing need for centralized network visibility and seamless policy management across distributed environments. Software defined networking enables enterprises to efficiently manage network traffic, security policies, and resource allocation without requiring extensive hardware modifications. Rising complexity associated with large-scale data centers, virtualized networks, and cloud-native applications is accelerating the adoption of programmable networking technologies. Businesses are also leveraging SDN to automate network provisioning, optimize operational efficiency, and reduce deployment timelines. The growing deployment of advanced communication technologies, expanding edge computing infrastructure, and increasing adoption of artificial intelligence workloads are further strengthening demand for highly scalable and intelligent networking architectures. In addition, the need for real-time traffic management, network flexibility, and enhanced security capabilities continues to support rapid growth across the software defined networking industry.

Market Scope
Start Year2025
Forecast Year2026-2035
Start Value$35.7 Billion
Forecast Value$206.2 Billion
CAGR19.3%

The market is also benefiting from the rising adoption of next-generation network infrastructure solutions designed to improve agility and simplify network operations. SDN technologies are increasingly being integrated into enterprise environments to support automated traffic engineering, network virtualization, and efficient management of distributed computing resources. Expanding use of cloud-based applications and high-performance data processing systems is encouraging enterprises to deploy intelligent networking solutions capable of supporting dynamic workload requirements. Growing demand for centralized orchestration and policy-driven network management is further contributing to the increasing implementation of software defined networking technologies worldwide.

The solution segment held a 67% share in 2025 and is anticipated to grow at a CAGR of 18.7% from 2026 to 2035. Organizations are increasingly shifting toward subscription-based and cloud-delivered SDN solutions to improve operational flexibility and support recurring revenue models. Integration of artificial intelligence technologies into SDN platforms is enhancing network optimization, predictive analytics, and automated traffic management capabilities across enterprise and large-scale deployment environments. Rising demand for managed SDN services is also supporting segment growth as businesses continue outsourcing complex network operations to improve efficiency and address technical skill shortages.

The large enterprises segment accounted for 67.2% share in 2025 and is projected to grow at a CAGR of 18.6% through 2035. Large organizations are rapidly deploying SDN technologies across data centers, wide area networks, and enterprise campuses to strengthen centralized control and improve policy-based network security. The growing adoption of hybrid cloud strategies is also encouraging enterprises to implement SDN solutions for seamless orchestration of distributed network resources. Businesses operating mission-critical workloads are increasingly utilizing software defined networking technologies to ensure high network availability, scalability, and operational consistency across complex IT environments.

U.S. Software Defined Networking Market reached USD 11.4 billion in 2025 and is expected to grow at a CAGR of 19.7% from 2026 to 2035. Market growth across the United States is primarily supported by increasing deployment of advanced cloud infrastructure and rising demand for programmable networking solutions capable of supporting large-scale digital operations. Expanding adoption of artificial intelligence applications and cloud-based services is further driving the need for automated network management and intelligent traffic optimization technologies. Enterprises throughout the U.S. are also increasingly implementing SDN solutions across hybrid and edge computing environments to improve operational agility, scalability, and overall network performance.

Major companies operating in the Software Defined Networking Market include Arista Networks, VMware (Broadcom), Cisco Systems, Ericsson, Extreme Networks, HPE, Huawei, IBM, Nokia, and ZTE. Companies operating in the software defined networking market are implementing several strategic initiatives to strengthen their market presence and expand competitive positioning globally. Industry participants are heavily investing in research and development activities to enhance network automation, artificial intelligence integration, and cloud-native SDN capabilities. Strategic collaborations, technology partnerships, and acquisitions are helping companies broaden product portfolios and strengthen their reach across enterprise and telecom sectors. Market players are also focusing on developing subscription-based and software-as-a-service networking solutions to improve recurring revenue generation and customer retention. Expanding managed networking services, integrating advanced cybersecurity features, and supporting hybrid cloud infrastructure deployments are further strengthening growth strategies. In addition, companies are increasing investments in edge computing technologies, data center networking innovations, and programmable infrastructure solutions to reinforce their foothold within the global software defined networking industry.

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
  • 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
  • 2.2 Key market trends
    • 2.2.1 Regional
    • 2.2.2 Component
    • 2.2.3 SDN Architecture
    • 2.2.4 Application
    • 2.2.5 Enterprise size
    • 2.2.6 End use
  • 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
    • 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 Growing adoption of hybrid and multi-cloud infrastructure
      • 3.2.1.2 Increasing demand for network automation and orchestration
      • 3.2.1.3 Expansion of 5G and edge computing networks
      • 3.2.1.4 Rising need for agile and scalable data center networking
    • 3.2.2 Industry pitfalls and challenges
      • 3.2.2.1 Security vulnerabilities in centralized control architecture
      • 3.2.2.2 Complexity of integration with legacy network infrastructure
    • 3.2.3 Market opportunities
      • 3.2.3.1 Adoption of SDN in IoT network management
      • 3.2.3.2 Increasing deployment in telecom network virtualization
      • 3.2.3.3 Growth of open-source SDN Platforms
      • 3.2.3.4 Rising demand for network-as-a-service (NaaS) solutions
  • 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 (Premium / Value / Cost-plus)
  • 3.6 Regulatory landscape
    • 3.6.1 North America
      • 3.6.1.1 Federal Communications Commission (FCC)-United States
      • 3.6.1.2 Innovation, Science and Economic Development Canada (ISED)-Canada
    • 3.6.2 Europe
      • 3.6.2.1 European Commission (EC)
      • 3.6.2.2 European Telecommunications Standards Institute (ETSI)
    • 3.6.3 Asia Pacific
      • 3.6.3.1 Ministry of Communications and Information Technology (MCIT)-India
      • 3.6.3.2 3.5.3.2. Ministry of Internal Affairs and Communications (MIC)-Japan
    • 3.6.4 Latin America
      • 3.6.4.1 National Telecommunications Agency (ANATEL)-Brazil
      • 3.6.4.2 National Authority for Government Innovation (ENACOM)-Argentina
    • 3.6.5 Middle East & Africa
      • 3.6.5.1 Telecommunications and Digital Government Regulatory Authority (TDRA)-United Arab Emirates
      • 3.6.5.2 Communications, Space & Technology Commission (CST)-Saudi Arabia
  • 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 & Generative AI on the Market
    • 3.11.1 AI-driven disruption of existing business models
    • 3.11.2 Gen AI use cases & adoption roadmap by segment
    • 3.11.3 Risks, limitations & 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 ($Mn)

  • 5.1 Key trends
  • 5.2 Solution
    • 5.2.1 SDN controller
    • 5.2.2 SDN application Software
    • 5.2.3 Cloud Virtualization Solutions
    • 5.2.4 SDN Switches
  • 5.3 Services
    • 5.3.1 Professional service
    • 5.3.2 Managed service

Chapter 6 Market Estimates & Forecast, By SDN Architecture, 2022 - 2035 ($Mn)

  • 6.1 Key trends
  • 6.2 Open SDN
  • 6.3 SDN via API
  • 6.4 SDN via Overlay
  • 6.5 Hybrid SDN

Chapter 7 Market Estimates & Forecast, By Application, 2022 - 2035 ($Mn)

  • 7.1 Key trends
  • 7.2 SD-WAN
  • 7.3 SD-LAN
  • 7.4 Security Applications
  • 7.5 Other

Chapter 8 Market Estimates & Forecast, By Enterprise Size, 2022 - 2035 ($Mn)

  • 8.1 Key trends
  • 8.2 SMEs
  • 8.3 Large enterprises

Chapter 9 Market Estimates & Forecast, By End use, 2022 - 2035 ($Mn)

  • 9.1 Key trends
  • 9.2 Enterprise
    • 9.2.1 BFSI
    • 9.2.2 Consumer goods & retail
    • 9.2.3 Government & defense
    • 9.2.4 Healthcare
    • 9.2.5 Manufacturing
    • 9.2.6 Education
    • 9.2.7 Others
  • 9.3 Telecom service provider
  • 9.4 Cloud service provider
  • 9.5 Data centers

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

  • 10.1 Key trends
  • 10.2 North America
    • 10.2.1 U.S.
    • 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 Nordics
    • 10.3.7 Russia
    • 10.3.8 Poland
    • 10.3.9 Romania
  • 10.4 Asia Pacific
    • 10.4.1 China
    • 10.4.2 India
    • 10.4.3 Japan
    • 10.4.4 South Korea
    • 10.4.5 ANZ
    • 10.4.6 Vietnam
    • 10.4.7 Indonesia
    • 10.4.8 Philippines
  • 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

Chapter 11 Company Profiles

  • 11.1 Global players
    • 11.1.1 Arista Networks
    • 11.1.2 Cisco Systems
    • 11.1.3 Ericsson
    • 11.1.4 Extreme Networks
    • 11.1.5 Hewlett Packard Enterprise (HPE)
    • 11.1.6 Huawei Technologies
    • 11.1.7 IBM
    • 11.1.8 Nokia
    • 11.1.9 VMware (Broadcom)
  • 11.2 Regional players
    • 11.2.1 Aryaka Networks
    • 11.2.2 H3C Technologies
    • 11.2.3 IP Infusion
    • 11.2.4 NEC
    • 11.2.5 Pica8
    • 11.2.6 Pluribus Networks
    • 11.2.7 Versa Networks
    • 11.2.8 ZTE
  • 11.3 Emerging players
    • 11.3.1 Alkira
    • 11.3.2 Aviatrix Systems
    • 11.3.3 Prosimo