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市场调查报告书
商品编码
2021698

人工智慧网路市场预测至2034年—按网路类型、组件、部署模式、技术、应用和区域分類的全球分析

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个工作天内

价格

根据 Stratistics MRC 的数据，预计到 2026 年，全球人工智慧网路市场规模将达到 250 亿美元，并在预测期内以 25% 的复合年增长率增长，到 2034 年将达到 1500 亿美元。

AI网路是指将人工智慧演算法整合到网路基础架构中，以优化资料路由、频宽管理、降低延迟并提升安全性。人工智慧能够实现预测性流量管理、异常检测、自动化网路配置和即时资源分配。这些解决方案能够提升资料中心、企业和云端环境的网路效率、可靠性和效能。推动AI网路应用的关键因素包括连网设备、物联网和云端运算的成长，以及对高效能AI工作负载日益增长的需求，这些工作负载需要智慧网路管理来实现无缝资料传输。

不断成长的数据流量和物联网设备

企业和服务供应商需要智慧系统来管理连网设备产生的大量资料。人工智慧网路能够实现即时流量优化、预测分析和增强安全性。随着物联网在医疗保健、製造业和智慧城市等行业的应用不断扩展，对可扩展和适应性强的网路的需求也日益增长。这一趋势，加上不断增长的数据流量和物联网的扩张，是推动市场成长的主要动力。

基础设施升级成本高昂

实施人工智慧系统需要对硬体、软体和专业人员进行大量投资。传统基础设施通常需要进行大规模现代化改造才能支援人工智慧主导的功能。中小企业和地方政府难以负担这些升级改造的费用。持续的维护和整合也会产生额外的成本。虽然基于云端和模组化的解决方案正在兴起以降低成本，但成本效益仍然是一个挑战。儘管对智慧网路的需求很高，但其高昂的成本仍限制了其普及应用。

企业网路优化

人工智慧解决方案能够优化频宽分配、降低延迟并提升整体网路效能。企业正在利用人工智慧来管理混合云端环境、保护资料流并支援远距办公。预测分析和自动化能够减少停机时间并提高效率。人工智慧公司与网路供应商之间的合作正在加速创新。随着企业将数位转型列为优先事项，人工智慧驱动的优化有望释放巨大的成长潜力。

供应商锁定和互通性挑战

企业在整合多家供应商的解决方案时常常面临许多困难，导致对专有系统的依赖。缺乏标准化会增加成本并降低柔软性。互通性问题会阻碍扩充性并限制创新。儘管监管机构正在推广开放标准，但缺乏标准化仍然是一个挑战。未能解决这些风险可能会导致人工智慧网路解决方案的普及速度减慢，并降低人们对其的信心。

新冠疫情的影响：

新冠疫情对人工智慧网路市场产生了复杂的影响。一方面，供应链中断和劳动力短缺减缓了人工智慧网路的普及速度；另一方面，远距办公、线上教育和数位化服务的激增加速了对人工智慧驱动型网路解决方案的需求。企业纷纷投资智慧网络，管理流量、优化频宽并确保网路安全。疫情凸显了弹性网路系统和适应性网路系统的重要性。总体而言，儘管新冠疫情带来了短期挑战，但它也增强了人工智慧网路的长期发展动能。

在预测期内，交换器细分市场预计将占据最大的市场份额。

预计在预测期内，交换器领域将占据最大的市场份额，因为它在企业和资料中心网路中发挥着至关重要的作用，包括管理流量、确保连接以及支援人工智慧驱动的最佳化。交换器能够实现跨复杂基础设施的高效资料路由。对高速连接和智慧流量管理日益增长的需求正在推动这一领域向前发展。可程式交换机和人工智慧交换机的持续创新正在巩固该领域的主导地位。随着人工智慧网路应用的不断普及，交换器将继续成为基础设施的骨干。

预计在预测期内，人工智慧驱动的网路自动化领域将呈现最高的复合年增长率。

在预测期内，随着企业越来越多地采用智慧自动化来减少人工干预、提高效率并增强网路安全，人工智慧驱动的网路自动化领域预计将呈现最高的成长率。人工智慧驱动的自动化能够实现即时监控、预测性维护和自适应流量管理。企业正在利用自动化来管理复杂的混合云端环境。人工智慧公司与网路供应商之间的合作正在加速其应用。因此，人工智慧驱动的网路自动化已成为市场中成长最快的领域。

市占率最大的地区：

在整个预测期内，北美预计将保持最大的市场份额，这得益于其强大的技术基础设施和对先进数位解决方案的早期采用。该地区汇聚了许多领先的科技公司和超大规模资料中心，这些公司正大力投资于人工智慧驱动的网路能力。云端运算、通讯和企业IT等行业对低延迟、高频宽连线的需求不断增长，进一步加速了市场扩张。政府的各项措施以及对人工智慧和下一代网路技术的大量研发投入也推动了快速创新。此外，主要半导体和网路硬体供应商的存在也增强了该地区的生态系统。

复合年增长率最高的地区：

在预测期内，亚太地区预计将呈现最高的复合年增长率，这主要得益于快速的数位化进程、不断扩大的互联网普及率以及对智慧城市和工业自动化项目投资的增加。中国、印度和韩国等国家正在部署人工智慧网路解决方案，以支援大规模的数位化倡议。区域内的Start-Ups正携创新解决方案进入市场。对智慧基础设施和物联网整合日益增长的需求正在推动进一步的成长。亚太地区的强劲发展势头使其成为人工智慧网路领域成长最快的地区。

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所有购买此报告的客户均可享受以下免费自订选项之一：

  • 企业概况
    • 对其他市场参与者（最多 3 家公司）进行全面分析
    • 对主要企业进行SWOT分析（最多3家公司）
  • 区域划分
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  • 竞争性标竿分析
    • 根据产品系列、地理覆盖范围和策略联盟对主要企业进行基准分析。

目录

第一章执行摘要

  • 市场概览及主要亮点
  • 驱动因素、挑战与机会
  • 竞争格局概述
  • 战略洞察与建议

第二章：研究框架

  • 研究目标和范围
  • 相关人员分析
  • 研究假设和限制
  • 调查方法

第三章 市场动态与趋势分析

  • 市场定义与结构
  • 主要市场驱动因素
  • 市场限制与挑战
  • 投资成长机会和重点领域
  • 产业威胁与风险评估
  • 技术与创新展望
  • 新兴市场/高成长市场
  • 监管和政策环境
  • 新冠疫情的影响及復苏前景

第四章：竞争环境与策略评估

  • 波特五力分析
    • 供应商的议价能力
    • 买方的议价能力
    • 替代品的威胁
    • 新进入者的威胁
    • 竞争公司之间的竞争
  • 主要企业市占率分析
  • 产品基准评效和效能比较

第五章 全球人工智慧网路市场：按网路类型划分

  • 资料中心网络
  • 边缘网路
  • 5G/6G网络
  • 软体定义网路 (SDN)
  • 其他网路类型

第六章 全球人工智慧网路市场：按组件划分

  • 转变
  • 路由器
  • 网路介面卡（NIC）
  • 光收发器
  • 网路管理软体
  • 其他规则

第七章 全球人工智慧网路市场：依部署模式划分

  • 现场
  • 基于云端的

第八章 全球人工智慧网路市场：按技术划分

  • 人工智慧主导的网路自动化
  • 基于意图的网络
  • 预测网路分析
  • 网路虚拟化
  • 自癒网络
  • 其他技术

第九章 全球人工智慧网路市场：按应用划分

  • 资料中心
  • 通讯网路
  • 企业网路
  • 边缘运算
  • 其他用途

第十章：全球人工智慧网路市场：按地区划分

  • 北美洲
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 荷兰
    • 比利时
    • 瑞典
    • 瑞士
    • 波兰
    • 其他欧洲国家
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳洲
    • 印尼
    • 泰国
    • 马来西亚
    • 新加坡
    • 越南
    • 其他亚太国家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥伦比亚
    • 智利
    • 秘鲁
    • 其他南美国家
  • 世界其他地区（RoW）
    • 中东
      • 沙乌地阿拉伯
      • 阿拉伯聯合大公国
      • 卡达
      • 以色列
      • 其他中东国家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲国家

第十一章 策略市场资讯

  • 工业价值网络和供应链评估
  • 空白区域和机会地图
  • 产品演进与市场生命週期分析
  • 通路、经销商和打入市场策略的评估

第十二章 产业趋势与策略倡议

  • 併购
  • 伙伴关係、联盟和合资企业
  • 新产品发布和认证
  • 扩大生产能力和投资
  • 其他策略倡议

第十三章：公司简介

  • 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.