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市場調查報告書
商品編碼
2132667
全球網路人工智慧市場:按產品、網路類型、最終用戶和地區分類-預測至2032年AI in Network Market by Solution (Network Management, Network Optimization, Network Security, Network Automation, Network Orchestration, Network Planning & Design) - Global Forecast to 2032 |
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2026 年,人工智慧在網路中的市場規模預計為 83.8 億美元,預計到 2032 年將達到 215.2 億美元,複合年成長率為 17.0%。
市場成長主要得益於人工智慧驅動的網路自動化、5G、邊緣運算、雲端基礎設施和物聯網等技術的日益普及。人工智慧能夠實現即時網路最佳化、預測性維護、異常檢測、自動故障排除和增強網路安全,從而幫助企業提升網路效能、減少停機時間、最佳化資源配置並降低營運成本。
| 調查範圍 | |
|---|---|
| 調查期 | 2020-2032 |
| 基準年 | 2025 |
| 預測期 | 2026-2032 |
| 目標單元 | 金額(100萬/10億美元) |
| 部分 | 按產品/服務、網路類型、最終用戶、區域 |
| 目標區域 | 北美、歐洲、亞太地區、中東和非洲以及拉丁美洲 |
對數位基礎設施投資的增加以及對可靠、低延遲連接日益成長的需求,正在進一步加速5G的普及。亞太地區預計將保持最高的成長率,這得益於5G的快速部署、雲端和邊緣基礎設施的擴展以及數位轉型舉措。隨著網路朝向更自主和智慧化的營運模式發展,營運商、企業、資料中心和公共部門機構的採用率預計將會加快。

“按網路類型分類,預計資料中心網路在預測期內將佔據最大的市場佔有率。”
受企業和超大規模資料中心業者資料中心快速採用人工智慧工作負載、雲端運算和高效能運算的推動,資料中心網路預計將在人工智慧網路市場佔據最大的市場佔有率。人工智慧應用需要高頻寬、低延遲和高度可擴展的網路基礎設施來傳輸大規模資料集,並實現GPU、伺服器和儲存系統之間的通訊。人工智慧驅動的網路解決方案使資料中心能夠最佳化流量管理、自動化網路運維、預測和解決效能問題,並提高資源利用率。生成式人工智慧、機器學習和加速運算的日益普及進一步推動了資料中心對智慧網路功能的需求。隨著各組織不斷擴展其人工智慧基礎設施並投資於下一代資料中心,對人工智慧驅動的網路監控、最佳化、安全和自動化的需求預計將在整個預測期內保持資料中心網路在市場上的主導地位。
“預計在預測期內,雲端運算網路產業將錄得最高的成長率。”
雲端網路可在雲端環境、資料中心、分公司和邊緣基礎設施之間提供可擴展且靈活的連接。隨著企業加速雲端遷移並採用混合雲和多重雲端架構,對能夠提供即時網路視覺性、自動配置、智慧流量管理和預測性效能最佳化的AI賦能解決方案的需求日益成長。 AI有助於分析網路數據、偵測異常、最佳化資源並實現營運自動化,進而提高網路可靠性和效率。雲端原生應用的日益普及、多重雲端的日益複雜以及對無縫安全連接的需求不斷成長,正推動企業轉向AI驅動的雲端網路解決方案。隨著企業優先考慮可擴展、自主且具彈性的雲端基礎設施,對AI賦能的雲端網路的需求預計將快速成長,使其成為預測期內AI網路市場成長最快的細分領域。
“預計亞太地區在預測期內將錄得最高的成長率。”
在亞太地區,快速的數位轉型、5G基礎設施的擴展、雲端服務的普及以及對智慧網路管理日益成長的需求,正推動著網路人工智慧市場的強勁成長。中國、印度、日本、韓國和澳洲等國家正在投資建置先進的電信基礎設施、資料中心和雲端網路,以支援不斷成長的資料流量和連網設備。電信營運商和企業正擴大採用人工智慧驅動的網路解決方案,用於預測性維護、網路最佳化、流量管理、異常檢測和營運自動化。此外,物聯網、邊緣運算和5G網路的普及正在產生大量網路數據,為人工智慧驅動的分析和自動化創造了機會。政府對數位化、智慧基礎設施和下一代連接的支持,進一步加速了人工智慧在全部區域的應用。綜合這些因素,預計亞太地區將在預測期內成為網路領域人工智慧成長最快的區域市場。
初步調查結果分析
網路市場的主要參與者是思科(美國)、HPE(美國)、諾基亞(芬蘭)、愛立信(瑞典)、華為(中國)、Arista Networks(美國)、NVIDIA(美國)、Extreme Networks(美國)、Broadcom(美國)、IBM(美國)、富士通科技(日本)、戴爾 Network(美國)、CNEC) Networks(加拿大)、A10 Networks(美國)、ScienceLogic(美國)、Versa Networks(美國)、Dynatrace(美國)、Infoblox(美國)、EfficientIP(法國)、Riverbed(美國)、NETSCOUT(美國)、SolarWinds(美國)、BrainBrain(美國)、ManageEngine(美國)、美國)(Alvior) Networks(美國)、Nile(美國)、NetBox Labs(美國)、Celona (美國)、Shabodi(加拿大)和 A5G Networks(美國)。
調查範圍
這份市場調查報告涵蓋了人工智慧在網路領域各個細分市場的市場規模。報告旨在評估各細分市場的規模和成長潛力,包括所提供的服務、網路類型、最終用戶和地區。此外,報告還對主要市場參與企業進行了詳細的競爭分析,內容涵蓋公司簡介、產品和營業內容的關鍵觀察、近期趨勢以及市場策略。
購買本報告的主要好處
本報告透過提供全球「網路人工智慧」市場最準確的收入和細分市場預測,幫助市場領導和新參與企業相關人員了解競爭格局,更好地定位自身業務,並制定合適的打入市場策略。此外,本報告還為相關人員提供關鍵市場促進因素、限制因素、挑戰和機會的資訊。
本報告深入分析了關鍵促進因素(由於人工智慧代理的激增導致 DNS/IP需求增加,人工智慧、生成式人工智慧和人工智慧代理在網路營運和自動化的應用日益廣泛,人工智慧工作負載導致複雜性增加和流量模式變化,以及對自主、自最佳化和封閉回路型網路的日益關注)、阻礙因素(人工智慧主導的網路決策缺乏可解釋性和可靠性,以及將人工智慧與傳統網路基礎設施整合的複雜性日益成長)、機遇上開發網路決策缺乏可解釋性和可靠性,以及將人工智慧與傳統網路基礎設施整合的複雜性日益成長)、機遇(生成式及環境中擴展人工智慧驅動的網路管理)和挑戰(確保人工智慧模型擁有高品質、可靠和安全的網路數據,以及管理網路安全、數據管治和營運風險)。
產品開發/創新:深入了解人工智慧網路市場的未來技術、研發活動以及新產品/服務的推出。
市場發展:提供盈利市場的全面資訊。本報告分析了各地區的網路人工智慧市場。
市場多元化:提供有關網路人工智慧市場的新產品和服務、未開發的市場、最新趨勢和投資機會的全面資訊。
競爭分析:思科(美國)、HPE(美國)、諾基亞(芬蘭)、愛立信(瑞典)、華為(中國)、Arista Networks(美國)、NVIDIA(美國)、Extreme Networks(美國)、Broadcom(美國)、IBM(美國)、富士通(日本)、Dell Technologies(美國)、Ciena(美國) Networks(加拿大)、A10 Networks (美國)、ScienceLogic(美國)、Versa Networks(美國)、Dynatrace(美國)、Infoblox(美國)、EfficientIP(法國)、Riverbed(美國)、NETSCOUT(美國)、SolarWinds(美國)、BrainBrain(美國)、AVIine(美國)、AVIine) Networks(美國)、Nile(美國)、NetBox Labs(美國)、Celona (美國)、Shabodi(加拿大)、A5G Networks (美國)
The AI in network market is estimated at USD 8.38 billion in 2026 and will reach USD 21.52 billion by 2032, at a CAGR of 17.0%. Market growth is driven by the increasing adoption of AI-powered network automation, 5G, edge computing, cloud infrastructure, and IoT. AI enables real-time network optimization, predictive maintenance, anomaly detection, automated troubleshooting, and enhanced cybersecurity, helping organizations improve network performance, reduce downtime, optimize resources, and lower operational costs.
| Scope of the Report | |
|---|---|
| Years Considered for the Study | 2020-2032 |
| Base Year | 2025 |
| Forecast Period | 2026-2032 |
| Units Considered | Value (USD Million/Billion) |
| Segments | By Offering, Network Type, End User, and Region |
| Regions covered | North America, Europe, Asia Pacific, Middle East & Africa, and Latin America |
Rising investments in digital infrastructure and demand for reliable, low-latency connectivity are further accelerating adoption. Asia Pacific is expected to register the highest growth rate, supported by rapid 5G deployment, expanding cloud and edge infrastructure, and digital transformation initiatives. Adoption is expected to accelerate across telecom, enterprises, data centers, and public-sector organizations as networks shift toward more autonomous, intelligent operations.

"By network type, data center networks are expected to hold the largest market share during the forecast period."
Data center networks are expected to account for the largest market share in the AI in network market, driven by the rapid adoption of AI workloads, cloud computing, and high-performance computing across enterprises and hyperscalers. AI applications require high-bandwidth, low-latency, and highly scalable network infrastructure to transfer large datasets and enable communication among GPUs, servers, and storage systems. AI-driven network solutions enable data centers to optimize traffic management, automate network operations, predict and resolve performance issues, and improve resource utilization. The growing deployment of generative AI, machine learning, and accelerated computing is further increasing demand for intelligent networking capabilities within data centers. As organizations continue to expand AI infrastructure and invest in next-generation data centers, the need for AI-enabled network monitoring, optimization, security, and automation is expected to sustain data center networks' leading market position during the forecast period.
"The cloud networks segment is expected to register the fastest growth rate during the forecast period."
Cloud networks provide scalable, flexible connectivity across cloud environments, data centers, branch locations, and edge infrastructure. As enterprises accelerate cloud migration and adopt hybrid and multicloud architectures, demand is increasing for AI-enabled solutions that offer real-time network visibility, automated configuration, intelligent traffic management, and predictive performance optimization. AI helps analyze network data, detect anomalies, optimize resources, and automate operations, improving network reliability and efficiency. Growing cloud-native application adoption, multicloud complexity, and the need for seamless, secure connectivity are driving enterprises toward AI-driven cloud networking solutions. As organizations prioritize scalable, autonomous, and resilient cloud infrastructure, demand for AI-enabled cloud networks is expected to grow rapidly, making this the fastest-growing segment in the AI in network market during the forecast period.
"Asia Pacific will register the highest growth rate during the forecast period."
The Asia Pacific region is witnessing rapid digital transformation, expanding 5G infrastructure, cloud adoption, and increasing demand for intelligent network management, driving strong growth in the AI in network market. Countries such as China, India, Japan, South Korea, and Australia are investing in advanced telecommunications infrastructure, data centers, and cloud networks to support growing data traffic and connected devices. Telecom operators and enterprises are increasingly adopting AI-powered network solutions for predictive maintenance, network optimization, traffic management, anomaly detection, and automated operations. In addition, the proliferation of IoT, edge computing, and 5G networks is generating large volumes of network data, creating opportunities for AI-driven analytics and automation. Supportive government initiatives promoting digitalization, smart infrastructure, and next-generation connectivity are further accelerating AI adoption across the region. Together, these factors position Asia Pacific as the fastest-growing regional market for AI in networks during the forecast period.
Breakdown of primaries
The major players in the AI in network market are Cisco (US), HPE (US), Nokia (Finland), Ericsson (Sweden), Huawei (China), Arista Networks (US), NVIDIA (US), Extreme Networks (US), Broadcom (US), IBM (US), Fujitsu (Japan), Dell Technologies (US), Ciena (US), NEC (Japan), Forward Networks (US), BlueCat Networks (Canada), A10 Networks (US), ScienceLogic (US), Versa Networks (US), Dynatrace (US), Infoblox (US), EfficientIP (France), Riverbed (US), NETSCOUT (US), SolarWinds (US), NetBrain (US), ManageEngine (US), VIAVI Solutions (US), Selector (US), Aviz Networks (US), Nile (US), NetBox Labs (US), Celona (US), Shabodi (Canada), and A5G Networks (US).
Research Coverage
The market study covers the AI in network market size across different segments. It aims to estimate market size and growth potential across segments, including offering, network type, end user, and regions. The study includes an in-depth competitive analysis of leading market players, including company profiles, key observations on product and business offerings, recent developments, and market strategies.
Key Benefits of Buying the Report
The report will help market leaders/new entrants with information on the closest approximations of the global AI in network market's revenue numbers and subsegments. This report will help stakeholders understand the competitive landscape and gain insights to better position their businesses and plan suitable go-to-market strategies. Moreover, the report will help stakeholders understand the market's pulse and provide information on key market drivers, restraints, challenges, and opportunities.
Analysis of key drivers (AI agent proliferation increasing DNS/IP demand; growing adoption of AI, generative AI, and AI agents for network operations and automation; rising complexity and changing traffic patterns driven by AI workloads; and growing focus on autonomous, self-optimizing, and closed-loop networks), restraints (lack of explainability and trust in AI-driven network decisions and high complexity of integrating AI with legacy network infrastructure), opportunities (growing adoption of generative and agentic AI for autonomous network operations and expansion of AI-powered network management across cloud, edge, and 5G environments), and challenges (ensuring high-quality, reliable, and secure network data for AI models and managing cybersecurity, data governance, and operational risks).
Product Development/Innovation: Detailed insights on upcoming technologies, research and development activities, and new product and service launches in the AI in network market.
Market Development: Comprehensive information on lucrative markets; the report analyzes AI in network markets across various regions.
Market Diversification: Exhaustive information about new products and services, untapped geographies, recent developments, and investments in the AI in network market.
Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players like Cisco (US), HPE (US), Nokia (Finland), Ericsson (Sweden), Huawei (China), Arista Networks (US), NVIDIA (US), Extreme Networks (US), Broadcom (US), IBM (US), Fujitsu (Japan), Dell Technologies (US), Ciena (US), NEC (Japan), Forward Networks (US), BlueCat Networks (Canada), A10 Networks (US), ScienceLogic (US), Versa Networks (US), Dynatrace (US), Infoblox (US), EfficientIP (France), Riverbed (US), NETSCOUT (US), SolarWinds (US), NetBrain (US), ManageEngine (US), VIAVI Solutions (US), Selector (US), Aviz Networks (US), Nile (US), NetBox Labs (US), Celona (US), Shabodi (Canada), and A5G Networks (US).