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市場調查報告書
商品編碼
2021698

人工智慧網路市場預測至2034年—按網路類型、組件、部署模式、技術、應用和區域分類的全球分析

AI Networking Market Forecasts to 2034 - Global Analysis By Networking Type, Component, Deployment Mode, Technology, Application and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，預計到 2026 年，全球人工智慧網路市場規模將達到 250 億美元，並在預測期內以 25% 的複合年成長率成長，到 2034 年將達到 1500 億美元。

AI網路是指將人工智慧演算法整合到網路基礎架構中，以最佳化資料路由、頻寬管理、降低延遲並提升安全性。人工智慧能夠實現預測性流量管理、異常檢測、自動化網路配置和即時資源分配。這些解決方案能夠提升資料中心、企業和雲端環境的網路效率、可靠性和效能。推動AI網路應用的關鍵因素包括連網設備、物聯網和雲端運算的成長，以及對高效能AI工作負載日益成長的需求，這些工作負載需要智慧網路管理來實現無縫資料傳輸。

不斷成長的數據流量和物聯網設備

企業和服務供應商需要智慧系統來管理連網設備產生的大量資料。人工智慧網路能夠實現即時流量最佳化、預測分析和增強安全性。隨著物聯網在醫療保健、製造業和智慧城市等行業的應用不斷擴展，對可擴展和適應性強的網路的需求也日益成長。這一趨勢，加上不斷成長的數據流量和物聯網的擴張，是推動市場成長的主要動力。

基礎設施升級成本高昂

實施人工智慧系統需要對硬體、軟體和專業人員進行大量投資。傳統基礎設施通常需要進行大規模現代化改造才能支援人工智慧主導的功能。中小企業和地方政府難以負擔這些升級改造的費用。持續的維護和整合也會產生額外的成本。雖然基於雲端和模組化的解決方案正在興起以降低成本，但成本效益仍然是一個挑戰。儘管對智慧網路的需求很高，但其高昂的成本仍限制了其普及應用。

企業網路最佳化

人工智慧解決方案能夠最佳化頻寬分配、降低延遲並提升整體網路效能。企業正在利用人工智慧來管理混合雲端環境、保護資料流並支援遠距辦公。預測分析和自動化能夠減少停機時間並提高效率。人工智慧公司與網路供應商之間的合作正在加速創新。隨著企業將數位轉型列為優先事項，人工智慧驅動的最佳化有望釋放巨大的成長潛力。

供應商鎖定和互通性挑戰

企業在整合多家供應商的解決方案時常常面臨許多困難，導致對專有系統的依賴。缺乏標準化會增加成本並降低柔軟性。互通性問題會阻礙擴充性並限制創新。儘管監管機構正在推廣開放標準，但缺乏標準化仍然是一個挑戰。未能解決這些風險可能會導致人工智慧網路解決方案的普及速度減慢，並降低人們對其的信心。

新冠疫情的影響：

新冠疫情對人工智慧網路市場產生了複雜的影響。一方面，供應鏈中斷和勞動力短缺減緩了人工智慧網路的普及速度；另一方面，遠距辦公、線上教育和數位化服務的激增加速了對人工智慧驅動型網路解決方案的需求。企業紛紛投資智慧網路，管理流量、最佳化頻寬並確保網路安全。疫情凸顯了彈性網路系統和適應性網路系統的重要性。總體而言，儘管新冠疫情帶來了短期挑戰，但它也增強了人工智慧網路的長期發展動能。

在預測期內，交換器細分市場預計將佔據最大的市場佔有率。

預計在預測期內，交換器領域將佔據最大的市場佔有率，因為它在企業和資料中心網路中發揮著至關重要的作用，包括管理流量、確保連接以及支援人工智慧驅動的最佳化。交換器能夠實現跨複雜基礎設施的高效資料路由。對高速連接和智慧流量管理日益成長的需求正在推動這一領域向前發展。可程式交換機和人工智慧交換機的持續創新正在鞏固該領域的主導地位。隨著人工智慧網路應用的不斷普及，交換器將繼續成為基礎設施的骨幹。

預計在預測期內，人工智慧驅動的網路自動化領域將呈現最高的複合年成長率。

在預測期內，隨著企業擴大採用智慧自動化來減少人工干預、提高效率並增強網路安全，人工智慧驅動的網路自動化領域預計將呈現最高的成長率。人工智慧驅動的自動化能夠實現即時監控、預測性維護和自適應流量管理。企業正在利用自動化來管理複雜的混合雲端環境。人工智慧公司與網路供應商之間的合作正在加速其應用。因此，人工智慧驅動的網路自動化已成為市場中成長最快的領域。

市佔率最大的地區：

在整個預測期內，北美預計將保持最大的市場佔有率，這得益於其強大的技術基礎設施和對先進數位解決方案的早期採用。該地區匯聚了許多領先的科技公司和超大規模資料中心，這些公司正大力投資於人工智慧驅動的網路能力。雲端運算、通訊和企業IT等行業對低延遲、高頻寬連線的需求不斷成長，進一步加速了市場擴張。政府的各項措施以及對人工智慧和下一代網路技術的大量研發投入也推動了快速創新。此外，主要半導體和網路硬體供應商的存在也增強了該地區的生態系統。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率，這主要得益於快速的數位化進程、不斷擴大的網際網路普及率以及對智慧城市和工業自動化項目投資的增加。中國、印度和韓國等國家正在部署人工智慧網路解決方案，以支援大規模的數位化舉措。區域內的Start-Ups正攜創新解決方案進入市場。對智慧基礎設施和物聯網整合日益成長的需求正在推動進一步的成長。亞太地區的強勁發展勢頭使其成為人工智慧網路領域成長最快的地區。

免費客製化服務：

所有購買此報告的客戶均可享受以下免費自訂選項之一：

  • 企業概況
    • 對其他市場參與者（最多 3 家公司）進行全面分析
    • 對主要企業進行SWOT分析（最多3家公司）
  • 區域分類
    • 應客戶要求，我們提供主要國家和地區的市場估算和預測，以及複合年成長率（註：需進行可行性檢查）。
  • 競爭性標竿分析
    • 根據產品系列、地理覆蓋範圍和策略聯盟對主要企業進行基準分析。

目錄

第1章執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要企業市佔率分析
  • 產品基準評效和效能比較

第5章 全球人工智慧網路市場：按網路類型分類

  • 資料中心網路
  • 邊緣網路
  • 5G/6G網路
  • 軟體定義網路 (SDN)
  • 其他網路類型

第6章 全球人工智慧網路市場：按組件分類

  • 轉變
  • 路由器
  • 網路介面卡（NIC）
  • 光收發器
  • 網路管理軟體
  • 其他規則

第7章 全球人工智慧網路市場：依部署模式分類

  • 現場
  • 基於雲端的

第8章 全球人工智慧網路市場：按技術分類

  • 人工智慧主導的網路自動化
  • 基於意圖的網路
  • 預測網路分析
  • 網路虛擬化
  • 自癒網路
  • 其他技術

第9章 全球人工智慧網路市場：按應用分類

  • 資料中心
  • 通訊網路
  • 企業網路
  • 邊緣運算
  • 其他用途

第10章：全球人工智慧網路市場：按地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第11章 策略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第12章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第13章：公司簡介

  • Cisco Systems
  • Juniper Networks
  • NVIDIA Corporation
  • Arista Networks
  • Huawei Technologies
  • Ericsson
  • Nokia Corporation
  • Hewlett Packard Enterprise
  • Dell Technologies
  • IBM Corporation
  • Microsoft Corporation
  • Google LLC
  • Amazon Web Services
  • Broadcom Inc.
  • Marvell Technology
  • Extreme Networks
  • ZTE Corporation
  • NEC Corporation
Product Code: SMRC35067

According to Stratistics MRC, the Global AI Networking Market is accounted for $25 billion in 2026 and is expected to reach $150 billion by 2034 growing at a CAGR of 25% during the forecast period. AI Networking refers to the integration of AI algorithms into networking infrastructure to optimize data routing, bandwidth management, latency reduction, and security. AI enables predictive traffic management, anomaly detection, automated network configuration, and resource allocation in real time. These solutions improve network efficiency, reliability, and performance across data centers, enterprises, and cloud environments. Adoption is driven by the growth of connected devices, IoT, cloud computing, and high-performance AI workloads requiring intelligent network management for seamless data delivery.

Market Dynamics:

Driver:

Growing data traffic and IoT devices

Enterprises and service providers require intelligent systems to manage massive volumes of data generated by connected devices. AI networking enables real-time traffic optimization, predictive analytics, and enhanced security. As IoT adoption expands across industries such as healthcare, manufacturing, and smart cities, the need for scalable and adaptive networks is intensifying. This trend positions data traffic growth and IoT expansion as a primary driver of market growth.

Restraint:

High infrastructure upgrade costs

Deploying AI-enabled systems requires significant investment in hardware, software, and skilled personnel. Legacy infrastructure often needs extensive modernization to support AI-driven capabilities. Smaller enterprises and municipalities struggle to afford these upgrades. Ongoing maintenance and integration add further expense. While cloud-based and modular solutions are emerging to reduce costs, affordability remains a challenge. This cost intensity continues to limit adoption despite strong demand for intelligent networking.

Opportunity:

Network optimization for enterprises

AI-driven solutions enhance bandwidth allocation, reduce latency, and improve overall network performance. Enterprises are leveraging AI to manage hybrid cloud environments, secure data flows, and support remote workforces. Predictive analytics and automation reduce downtime and improve efficiency. Partnerships between AI firms and networking providers are accelerating innovation. As enterprises prioritize digital transformation, AI-enabled optimization is expected to unlock significant growth opportunities.

Threat:

Vendor lock-in and interoperability issues

Enterprises often face difficulties integrating solutions from multiple vendors, leading to dependency on proprietary systems. Lack of standardization increases costs and reduces flexibility. Interoperability issues can hinder scalability and limit innovation. Regulatory bodies are pushing for open standards, but fragmentation remains a challenge. Failure to address these risks could slow adoption and reduce confidence in AI networking solutions.

Covid-19 Impact:

The COVID-19 pandemic had a mixed impact on the AI networking market. On one hand, supply chain disruptions and workforce limitations slowed deployments. On the other hand, the surge in remote work, online education, and digital services accelerated demand for AI-driven networking solutions. Enterprises invested in intelligent networks to manage traffic, optimize bandwidth, and ensure cybersecurity. The pandemic highlighted the importance of resilient and adaptive networking systems. Overall, COVID-19 created short-term challenges but reinforced long-term momentum for AI networking.

The switches segment is expected to be the largest during the forecast period

The switches segment is expected to account for the largest market share during the forecast period owing to their critical role in managing traffic flow, ensuring connectivity, and supporting AI-driven optimization in enterprise and data center networks. Switches enable efficient routing of data across complex infrastructures. Rising demand for high-speed connectivity and intelligent traffic management strengthens this segment. Continuous innovation in programmable and AI-enabled switches ensures segment leadership. With growing adoption of AI networking, switches remain the backbone of infrastructure.

The ai-driven network automation segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the ai-driven network automation segment is predicted to witness the highest growth rate as enterprises increasingly adopt intelligent automation to reduce manual intervention, improve efficiency, and enhance cybersecurity. AI-driven automation enables real-time monitoring, predictive maintenance, and adaptive traffic management. Enterprises are leveraging automation to manage complex hybrid cloud environments. Partnerships between AI firms and networking providers are accelerating adoption. This positions AI-driven network automation as the fastest-growing segment in the market.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share supported its strong technological infrastructure and early adoption of advanced digital solutions. The region is home to major technology companies and hyperscale data centers that are heavily investing in AI-driven networking capabilities. High demand for low-latency, high-bandwidth connectivity across industries such as cloud computing, telecom, and enterprise IT is further accelerating market expansion. Government initiatives and substantial R&D investments in AI and next-generation networking technologies are also supporting rapid innovation. Additionally, the presence of leading semiconductor and networking hardware providers strengthens the regional ecosystem.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR due to rapid digitalization, expanding internet penetration, and rising investments in smart city and industrial automation projects. Countries such as China, India, and South Korea are deploying AI networking solutions to support large-scale digital initiatives. Regional startups are entering the market with innovative solutions. Expanding demand for intelligent infrastructure and IoT integration further fuels growth. Asia Pacific's strong momentum positions it as the fastest-growing region for AI networking.

Key players in the market

Some of the key players in AI Networking Market include Cisco Systems, Juniper Networks, NVIDIA Corporation, Arista Networks, Huawei Technologies, Ericsson, Nokia Corporation, Hewlett Packard Enterprise, Dell Technologies, IBM Corporation, Microsoft Corporation, Google LLC, Amazon Web Services, Broadcom Inc., Marvell Technology, Extreme Networks, ZTE Corporation and NEC Corporation.

Key Developments:

In March 2025, NVIDIA introduced Spectrum-X networking platforms optimized for AI workloads. The launch reinforced its dominance in accelerated computing and strengthened partnerships with cloud providers.

In June 2025, Ericsson partnered with Intel to integrate AI accelerators into 5G network optimization. The collaboration reinforced efficiency in telecom networks and strengthened Europe's competitiveness.

Networking Types Covered:

  • Data Center Networking
  • Edge Networking
  • 5G/6G Networking
  • Software-Defined Networking (SDN)
  • Other Networking Types

Components Covered:

  • Switches
  • Routers
  • Network Interface Cards (NICs)
  • Optical Transceivers
  • Network Management Software
  • Other Components

Deployment Modes Covered:

  • On-Premise
  • Cloud-Based

Technologies Covered:

  • AI-Driven Network Automation
  • Intent-Based Networking
  • Predictive Network Analytics
  • Network Virtualization
  • Self-Healing Networks
  • Other Technologies

Applications Covered:

  • Data Centers
  • Telecom Networks
  • Enterprise Networks
  • Edge Computing
  • Other Applications

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global AI Networking Market, By Networking Type

  • 5.1 Data Center Networking
  • 5.2 Edge Networking
  • 5.3 5G/6G Networking
  • 5.4 Software-Defined Networking (SDN)
  • 5.5 Other Networking Types

6 Global AI Networking Market, By Component

  • 6.1 Switches
  • 6.2 Routers
  • 6.3 Network Interface Cards (NICs)
  • 6.4 Optical Transceivers
  • 6.5 Network Management Software
  • 6.6 Other Components

7 Global AI Networking Market, By Deployment Mode

  • 7.1 On-Premise
  • 7.2 Cloud-Based

8 Global AI Networking Market, By Technology

  • 8.1 AI-Driven Network Automation
  • 8.2 Intent-Based Networking
  • 8.3 Predictive Network Analytics
  • 8.4 Network Virtualization
  • 8.5 Self-Healing Networks
  • 8.6 Other Technologies

9 Global AI Networking Market, By Application

  • 9.1 Data Centers
  • 9.2 Telecom Networks
  • 9.3 Enterprise Networks
  • 9.4 Edge Computing
  • 9.5 Other Applications

10 Global AI Networking Market, By Geography

  • 10.1 North America
    • 10.1.1 United States
    • 10.1.2 Canada
    • 10.1.3 Mexico
  • 10.2 Europe
    • 10.2.1 United Kingdom
    • 10.2.2 Germany
    • 10.2.3 France
    • 10.2.4 Italy
    • 10.2.5 Spain
    • 10.2.6 Netherlands
    • 10.2.7 Belgium
    • 10.2.8 Sweden
    • 10.2.9 Switzerland
    • 10.2.10 Poland
    • 10.2.11 Rest of Europe
  • 10.3 Asia Pacific
    • 10.3.1 China
    • 10.3.2 Japan
    • 10.3.3 India
    • 10.3.4 South Korea
    • 10.3.5 Australia
    • 10.3.6 Indonesia
    • 10.3.7 Thailand
    • 10.3.8 Malaysia
    • 10.3.9 Singapore
    • 10.3.10 Vietnam
    • 10.3.11 Rest of Asia Pacific
  • 10.4 South America
    • 10.4.1 Brazil
    • 10.4.2 Argentina
    • 10.4.3 Colombia
    • 10.4.4 Chile
    • 10.4.5 Peru
    • 10.4.6 Rest of South America
  • 10.5 Rest of the World (RoW)
    • 10.5.1 Middle East
      • 10.5.1.1 Saudi Arabia
      • 10.5.1.2 United Arab Emirates
      • 10.5.1.3 Qatar
      • 10.5.1.4 Israel
      • 10.5.1.5 Rest of Middle East
    • 10.5.2 Africa
      • 10.5.2.1 South Africa
      • 10.5.2.2 Egypt
      • 10.5.2.3 Morocco
      • 10.5.2.4 Rest of Africa

11 Strategic Market Intelligence

  • 11.1 Industry Value Network and Supply Chain Assessment
  • 11.2 White-Space and Opportunity Mapping
  • 11.3 Product Evolution and Market Life Cycle Analysis
  • 11.4 Channel, Distributor, and Go-to-Market Assessment

12 Industry Developments and Strategic Initiatives

  • 12.1 Mergers and Acquisitions
  • 12.2 Partnerships, Alliances, and Joint Ventures
  • 12.3 New Product Launches and Certifications
  • 12.4 Capacity Expansion and Investments
  • 12.5 Other Strategic Initiatives

13 Company Profiles

  • 13.1 Cisco Systems
  • 13.2 Juniper Networks
  • 13.3 NVIDIA Corporation
  • 13.4 Arista Networks
  • 13.5 Huawei Technologies
  • 13.6 Ericsson
  • 13.7 Nokia Corporation
  • 13.8 Hewlett Packard Enterprise
  • 13.9 Dell Technologies
  • 13.10 IBM Corporation
  • 13.11 Microsoft Corporation
  • 13.12 Google LLC
  • 13.13 Amazon Web Services
  • 13.14 Broadcom Inc.
  • 13.15 Marvell Technology
  • 13.16 Extreme Networks
  • 13.17 ZTE Corporation
  • 13.18 NEC Corporation

List of Tables

  • Table 1 Global AI Networking Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global AI Networking Market, By Networking Type (2023-2034) ($MN)
  • Table 3 Global AI Networking Market, By Data Center Networking (2023-2034) ($MN)
  • Table 4 Global AI Networking Market, By Edge Networking (2023-2034) ($MN)
  • Table 5 Global AI Networking Market, By 5G/6G Networking (2023-2034) ($MN)
  • Table 6 Global AI Networking Market, By Software-Defined Networking (SDN) (2023-2034) ($MN)
  • Table 7 Global AI Networking Market, By Other Networking Types (2023-2034) ($MN)
  • Table 8 Global AI Networking Market, By Component (2023-2034) ($MN)
  • Table 9 Global AI Networking Market, By Switches (2023-2034) ($MN)
  • Table 10 Global AI Networking Market, By Routers (2023-2034) ($MN)
  • Table 11 Global AI Networking Market, By Network Interface Cards (NICs) (2023-2034) ($MN)
  • Table 12 Global AI Networking Market, By Optical Transceivers (2023-2034) ($MN)
  • Table 13 Global AI Networking Market, By Network Management Software (2023-2034) ($MN)
  • Table 14 Global AI Networking Market, By Other Components (2023-2034) ($MN)
  • Table 15 Global AI Networking Market, By Deployment Mode (2023-2034) ($MN)
  • Table 16 Global AI Networking Market, By On-Premise (2023-2034) ($MN)
  • Table 17 Global AI Networking Market, By Cloud-Based (2023-2034) ($MN)
  • Table 18 Global AI Networking Market, By Technology (2023-2034) ($MN)
  • Table 19 Global AI Networking Market, By AI-Driven Network Automation (2023-2034) ($MN)
  • Table 20 Global AI Networking Market, By Intent-Based Networking (2023-2034) ($MN)
  • Table 21 Global AI Networking Market, By Predictive Network Analytics (2023-2034) ($MN)
  • Table 22 Global AI Networking Market, By Network Virtualization (2023-2034) ($MN)
  • Table 23 Global AI Networking Market, By Self-Healing Networks (2023-2034) ($MN)
  • Table 24 Global AI Networking Market, By Other Technologies (2023-2034) ($MN)
  • Table 25 Global AI Networking Market, By Application (2023-2034) ($MN)
  • Table 26 Global AI Networking Market, By Data Centers (2023-2034) ($MN)
  • Table 27 Global AI Networking Market, By Telecom Networks (2023-2034) ($MN)
  • Table 28 Global AI Networking Market, By Enterprise Networks (2023-2034) ($MN)
  • Table 29 Global AI Networking Market, By Edge Computing (2023-2034) ($MN)
  • Table 30 Global AI Networking Market, By Other Applications (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) are also represented in the same manner as above.