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市场调查报告书
商品编码
1946022

全球资料中心人工智慧优化网路基础设施市场：预测（至2034年）－按产品、网路、部署方式、资料中心类别、人工智慧应用、最终使用者和地区进行分析

AI-Optimized Network Infrastructure for Data Centers Market Forecasts to 2034 - Global Analysis By Offering (Hardware, Software and Services), Network, Deployment Model, Data Center Category, AI Usage, End User 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 的研究，全球资料中心 AI 优化网路基础设施市场预计将在 2026 年达到 280.8 亿美元，在预测期内以 14.3% 的复合年增长率增长，到 2034 年达到 818.2 亿美元。

以资料中心为导向的AI优化网路基础设施是指利用人工智慧（AI）提升效能、效率和可靠性的先进网路系统。透过整合AI驱动的分析、自动化和预测功能，​​这些基础设施能够动态管理资料流量、优化资源分配并降低伺服器、储存和网路设备之间的延迟。它们支援即时监控、异常检测和自癒功能，从而确保高可用性和能源效率。此类网路支援可扩展的工作负载，包括AI、机器学习和巨量资料应用，同时最大限度地降低运维复杂性。

即时分析处理的需求日益增长

企业在决策过程中越来越依赖人工智慧驱动的洞察，这需要低延迟、高频宽的网路基础设施。人工智慧优化的系统能够实现更快的资料传输、预测性路由和动态工作负载平衡。供应商正在整合智慧编配工具来处理复杂的流量模式。银行、金融和保险 (BFSI)、医疗保健和电信等行业主导这一趋势，因为关键业务营运依赖于即时分析。对即时洞察日益增长的需求，正巩固人工智慧优化网路作为现代资料中心基石的地位。

熟练的人工智慧网路工程师短缺

实施和维护人工智慧驱动的网路系统需要机器学习、自动化和网路安全的专业知识。中小企业在招募和留住人才方面面临重重困难，而大型企业则面临日益增长的专业技能成本。儘管培训项目和认证正在不断涌现，但人才短缺问题依然严峻。供应商正透过自动化和使用者友善介面简化平台，但熟练专业人员的匮乏限制了系统的可扩展性，并持续延缓部署进度。

人工智慧驱动型网路解决方案的协作

协作努力正在推动将人工智慧演算法与先进网路硬体融合的解决方案的实现。供应商正在加强与云端服务供应商、通讯业者和系统整合商的合作，以扩大市场份额。这些伙伴关係加速了创新，并降低了终端用户的部署复杂性。各产业正在利用联合解决方案，使其基础设施与数位转型目标保持一致。策略合作正在扩大市场覆盖范围，并将伙伴关係关係定位为成长的关键催化剂。

网路安全和资料外洩风险日益增加

随着网路变得更加智慧和互联，攻击面也不断扩大。资料外洩可能危及高度敏感的分析数据，并扰乱关键业务运作。为了降低风险，供应商正在投资加密、零信任框架和人工智慧驱动的威胁侦测技术。不断演变的资料保护条例也增加了复杂性。对资料外洩和隐私的持续担忧可能会阻碍企业采用这些技术，如果无法有效解决，还可能延缓技术的普及。

新冠疫情的感染疾病：

新冠疫情重塑了网路基础设施的优先事项，凸显了网路韧性和自动化的重要性。远距办公和线上活动的激增给资料中心带来了前所未有的压力，迫使营运商优化流量。支援预测路由和自适应频宽分配的人工智慧驱动型网路解决方案因此备受关注。儘管一些计划最初因预算限製而延期，但对即时分析的需求迅速推动了投资。供应商也看到了对可远端管理、自动化平台日益增长的需求。

在预测期内，资料中心架构（脊叶式）细分市场预计将占据最大的市场份额。

在预测期内，资料中心架构（脊叶式）细分市场预计将占据最大的市场份额，这主要得益于超大规模资料中心对可扩展、低延迟架构的日益普及。脊叶式架构具有可预测的延迟和高吞吐量，因此非常适合人工智慧驱动的工作负载。营运商正依靠这种架构设计来简化流量管理并实现高效的基础设施扩展。供应商正在透过自动化和智慧监控来增强架构解决方案。超大规模资料中心和云端服务供应商正在推动对高阶架构部署的需求。该细分市场的主导地位反映了其为现代资料中心提供容错和扩充性连接的能力。

预计在预测期内，网路自动化和最佳化领域将呈现最高的复合年增长率。

在预测期内，受智慧流量管理和预测路由需求不断增长的推动，网路自动化和最佳化领域预计将呈现最高的成长率。企业正在采用自动化框架来减少人工干预并提高效率。人工智慧驱动的最佳化工具能够实现预测路由、异常侦测和动态频宽分配。供应商正在将机器学习整合到其平台中，以增强可扩展性。在电信和银行、金融和保险 (BFSI) 等流量模式复杂的行业中，这些技术的应用正在迅速扩展。该领域的成长凸显了其在实现自适应和智慧网路营运方面的重要作用。

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，这得益于其强大的超大规模资料中心网路和对人工智慧驱动型网路的早期应用。在成熟的资料中心生态系统和对人工智慧优化基础设施的大力投资的支持下，北美预计将占据最大的市场份额。美国在超大规模扩张、云端原生应用程式和人工智慧驱动型工作负载方面处于主导地位。加拿大则透过专注于合规性和政府主导的数位化项目来补充其成长。主要技术提供商的存在巩固了该地区的领先地位。对永续性和监管合规性日益增长的需求正在推动跨行业的应用。

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和超大规模/边缘运算设施的积极扩张。亚太地区预计将实现最高的复合年增长率，这主要得益于对容错网路基础设施的大规模投资。中国正在推动采用人工智慧赋能架构的超大规模设施的扩张，而印度则透过数位化专案和金融科技的扩张来推动成长。日本和韩国正在加速采用智慧网路平台，并专注于自动化和企业弹性。电信、银行、金融和保险（BFSI）以及医疗产业正在推动全部区域的需求。除了这些驱动因素外，亚太地区还受益于政府对本地网路设备製造的激励措施以及对5G部署的大力区域投资，这些措施正在提高网路可近性并加速人工智慧优化网路解决方案的采用。

免费客製化服务：

订阅本报告的用户可享有以下免费自订选项之一：

  • 公司简介
    • 对其他公司（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）
  • 区域分类
    • 根据客户兴趣量身定制的主要国家/地区的市场估算、预测和复合年增长率（註：基于可行性检查）
  • 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

第二章 引言

  • 概述
  • 相关利益者
  • 分析范围
  • 分析方法
  • 分析材料

第三章 市场趋势分析

  • 促进因素
  • 抑制因子
  • 机会
  • 威胁
  • 最终用户分析
  • 新兴市场
  • 新冠疫情的影响

第四章：波特五力分析

  • 供应商议价能力
  • 买方的议价能力
  • 替代产品的威胁
  • 新进入者的威胁
  • 竞争公司之间的竞争

第五章：全球面向资料中心的AI优化网路基础设施市场：按产品/服务划分

  • 硬体
    • AI优化型网路交换机
    • 高速路由器和互连设备
    • SmartNIC／DPU
  • 软体
    • 人工智慧驱动的网路控制与编配
    • 交通优化与分析
  • 服务
    • 实施与集成
    • 託管服务和支援服务

第六章：全球面向资料中心的AI优化网路基础设施市场结构：按网路架构划分

  • 软体定义网路 (SDN)
  • 资料中心架构（脊叶式架构）
  • 高效能互连网络
  • 自主/意图驱动型网络
  • 其他网路架构

第七章：全球资料中心人工智慧优化网路基础设施市场：按部署方式划分

  • 现场
  • 云
  • 杂交种

第八章：全球资料中心人工智慧优化网路基础设施市场：按资料中心类别划分

  • 超大规模
  • 企业
  • 搭配
  • 边缘
  • 其他资料中心类别

第九章：全球资料中心人工智慧优化网路基础设施市场：按人工智慧应用划分

  • 加速人工智慧工作负载
  • 网路自动化和最佳化
  • 预测性运作和维护
  • 人工智慧的其他用途

第十章：全球面向资料中心的AI优化网路基础设施市场：按最终用户划分

  • 资讯科技/通讯
  • 银行、金融服务和保险业 (BFSI)
  • 医疗保健
  • 零售与电子商务
  • 製造业
  • 政府/国防
  • 其他最终用户

第十一章：全球资料中心人工智慧优化网路基础设施市场：按地区划分

  • 北美洲
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美国家
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十二章 主要趋势

  • 合约、商业伙伴关係与合作、合资企业
  • 企业合併（M&A）
  • 新产品发布
  • 业务拓展
  • 其他关键策略

第十三章：公司简介

  • Cisco Systems, Inc.
  • Dell Technologies Inc.
  • Hewlett Packard Enterprise（HPE）
  • Lenovo Group Ltd.
  • IBM Corporation
  • Intel Corporation
  • NVIDIA Corporation
  • Microsoft Corporation
  • Google LLC
  • Amazon Web Services
  • Huawei Technologies Co., Ltd.
  • Juniper Networks, Inc.
  • Arista Networks, Inc.
  • Broadcom Inc.
  • Oracle Corporation
Product Code: SMRC33717

According to Stratistics MRC, the Global AI-Optimized Network Infrastructure for Data Centers Market is accounted for $28.08 billion in 2026 and is expected to reach $81.82 billion by 2034 growing at a CAGR of 14.3% during the forecast period. AI-Optimized Network Infrastructure for Data Centers refers to advanced networking systems designed to leverage artificial intelligence (AI) for enhanced performance, efficiency, and reliability. By integrating AI-driven analytics, automation, and predictive capabilities, these infrastructures dynamically manage data traffic, optimize resource allocation, and reduce latency across servers, storage, and network devices. They enable real-time monitoring, anomaly detection, and self-healing operations, ensuring high availability and energy efficiency. Such networks support scalable workloads, including AI, machine learning, and big data applications, while minimizing operational complexity.

Market Dynamics:

Driver:

Rising demand for real time analytics processing

Enterprises are increasingly dependent on AI driven insights for decision making, which requires low latency, high bandwidth network infrastructure. AI optimized systems enable faster data flows, predictive routing, and dynamic workload balancing. Vendors are embedding intelligent orchestration tools to handle complex traffic patterns. Sectors such as BFSI, healthcare, and telecom are leading adoption as they rely on real time analytics for mission critical operations. Rising demand for immediate insights is firmly positioning AI optimized networks as a cornerstone of modern data centers.

Restraint:

Shortage of skilled AI network engineers

Deploying and maintaining AI driven network systems requires expertise in machine learning, automation, and cybersecurity. Smaller enterprises struggle to recruit and retain talent, while larger operators face rising costs for specialized skills. Training programs and certifications are being introduced, but the gap remains significant. Vendors are attempting to simplify platforms with automation and user friendly interfaces. Even so, the lack of skilled professionals continues to restrain scalability and slows deployment timelines.

Opportunity:

Partnerships for AI driven network solutions

Collaborative initiatives are enabling integrated solutions that combine AI algorithms with advanced networking hardware. Vendors are forming alliances with cloud providers, telecom operators, and system integrators to broaden reach. These partnerships accelerate innovation and reduce deployment complexity for end users. Industries are leveraging joint solutions to align infrastructure with digital transformation goals. Strategic collaborations are expanding the market scope and positioning partnerships as a key growth catalyst.

Threat:

Increasing cybersecurity and data breach risks

Networks become more intelligent and interconnected, they present larger attack surfaces. Breaches can compromise sensitive analytics data and disrupt mission critical operations. Vendors are investing in encryption, zero trust frameworks, and AI driven threat detection to mitigate risks. Compliance with evolving data protection regulations adds further complexity. Persistent concerns around breaches and privacy are creating hesitation among operators and could slow adoption if not addressed effectively.

Covid-19 Impact:

The Covid 19 pandemic reshaped priorities in network infrastructure, highlighting the need for resilience and automation. Remote work and surging online activity placed unprecedented strain on data centers, forcing operators to optimize traffic flows. AI driven network solutions gained traction as they enabled predictive routing and adaptive bandwidth allocation. Budget constraints initially delayed some projects, but the need for real time analytics quickly accelerated investments. Vendors saw heightened demand for automation enabled platforms that could be managed remotely.

The data center fabric (Spine-Leaf) segment is expected to be the largest during the forecast period

The data center fabric (Spine-Leaf) segment is expected to account for the largest market share during the forecast period due to rising adoption of scalable and low latency architectures in hyperscale facilities. Spine Leaf architectures provide predictable latency and high throughput, making them ideal for AI driven workloads. Operators rely on fabric designs to simplify traffic management and scale infrastructure efficiently. Vendors are enhancing fabric solutions with automation and intelligent monitoring. Hyperscale and cloud providers are driving demand for advanced fabric deployments. This segment's leadership reflects its ability to deliver resilient and scalable connectivity for modern data centers.

The network automation & optimization segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the network automation & optimization segment is predicted to witness the highest growth rate as the expanding need for intelligent traffic management predictive routing. Enterprises are deploying automation frameworks to reduce manual intervention and improve efficiency. AI driven optimization tools enable predictive routing, anomaly detection, and dynamic bandwidth allocation. Vendors are embedding machine learning into platforms to enhance scalability. Adoption is expanding rapidly across industries with complex traffic patterns, such as telecom and BFSI. The segment's growth underscores its role in enabling adaptive and intelligent network operations.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share due to strong hyperscale presence and early adoption of AI driven networking. North America is forecast to hold the largest market share, supported by its mature data center ecosystem and proactive investment in AI optimized infrastructure. The United States leads with hyperscale expansions, cloud native deployments, and AI driven workloads. Canada complements growth with compliance focused initiatives and government backed digital programs. Presence of major technology providers consolidates regional leadership. Rising demand for sustainability and regulatory compliance is shaping adoption across industries.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR owing to rapid digitalization and aggressive expansion of hyperscale and edge facilities. Asia Pacific is anticipated to post the highest CAGR, driven by large scale investments in resilient network infrastructure. China is scaling hyperscale facilities with AI enabled fabrics, while India is fostering growth through digitization programs and fintech expansion. Japan and South Korea emphasize automation and enterprise resilience, accelerating adoption of intelligent networking platforms. Telecom, BFSI, and healthcare industries are fueling demand across the region. Beyond these drivers, Asia Pacific is also benefiting from government incentives for local manufacturing of networking equipment and strong regional investment in 5G rollouts, which are boosting accessibility and accelerating adoption of AI optimized network solutions.

Key players in the market

Some of the key players in AI-Optimized Network Infrastructure for Data Centers Market include Cisco Systems, Inc., Dell Technologies Inc., Hewlett Packard Enterprise (HPE), Lenovo Group Ltd., IBM Corporation, Intel Corporation, NVIDIA Corporation, Microsoft Corporation, Google LLC, Amazon Web Services, Huawei Technologies Co., Ltd., Juniper Networks, Inc., Arista Networks, Inc., Broadcom Inc. and Oracle Corporation.

Key Developments:

In November 2024, Cisco and NVIDIA announced an expanded partnership to integrate NVIDIA's Grace Blackwell GB200 AI systems with Cisco's Ethernet-based networking, creating a unified AI infrastructure solution for data centers. This collaboration aims to simplify deployment and management of massive-scale AI clusters using Cisco's validated designs and NVIDIA's computing platforms.

In September 2024, Dell partnered with Meta to offer a validated design for Meta's Llama 3 models on Dell's AI infrastructure, optimizing the network and compute stack for efficient large-scale model training and inference within customer data centers.

Offerings Covered:

  • Hardware
  • Software
  • Services

Network Architectures Covered:

  • Software-Defined Networking (SDN)
  • Data Center Fabric (Spine-Leaf)
  • High-Performance Interconnect Networks
  • Autonomous / Intent-Based Networks
  • Other Network Architectures

Deployment Models Covered:

  • On-Premises
  • Cloud
  • Hybrid

Data Center Categories Covered:

  • Hyperscale
  • Enterprise
  • Colocation
  • Edge
  • Other Data Center Categories

AI Usages Covered:

  • AI Workload Acceleration
  • Network Automation & Optimization
  • Predictive Operations & Maintenance
  • Other AI Usages

End Users Covered:

  • IT & Telecommunications
  • BFSI
  • Healthcare
  • Retail & E-Commerce
  • Manufacturing
  • Government & Defense
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & 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, 2028, 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

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 End User Analysis
  • 3.7 Emerging Markets
  • 3.8 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global AI-Optimized Network Infrastructure for Data Centers Market, By Offering

  • 5.1 Introduction
  • 5.2 Hardware
    • 5.2.1 AI-Optimized Network Switches
    • 5.2.2 High-Speed Routers & Interconnects
    • 5.2.3 SmartNICs / DPUs
  • 5.3 Software
    • 5.3.1 AI-Driven Network Control & Orchestration
    • 5.3.2 Traffic Optimization & Analytics
  • 5.4 Services
    • 5.4.1 Deployment & Integration
    • 5.4.2 Managed & Support Services

6 Global AI-Optimized Network Infrastructure for Data Centers Market, By Network Architecture

  • 6.1 Introduction
  • 6.2 Software-Defined Networking (SDN)
  • 6.3 Data Center Fabric (Spine-Leaf)
  • 6.4 High-Performance Interconnect Networks
  • 6.5 Autonomous / Intent-Based Networks
  • 6.6 Other Network Architectures

7 Global AI-Optimized Network Infrastructure for Data Centers Market, By Deployment Model

  • 7.1 Introduction
  • 7.2 On-Premises
  • 7.3 Cloud
  • 7.4 Hybrid

8 Global AI-Optimized Network Infrastructure for Data Centers Market, By Data Center Category

  • 8.1 Introduction
  • 8.2 Hyperscale
  • 8.3 Enterprise
  • 8.4 Colocation
  • 8.5 Edge
  • 8.6 Other Data Center Categories

9 Global AI-Optimized Network Infrastructure for Data Centers Market, By AI Usage

  • 9.1 Introduction
  • 9.2 AI Workload Acceleration
  • 9.3 Network Automation & Optimization
  • 9.4 Predictive Operations & Maintenance
  • 9.5 Other AI Usages

10 Global AI-Optimized Network Infrastructure for Data Centers Market, By End User

  • 10.1 Introduction
  • 10.2 IT & Telecommunications
  • 10.3 BFSI
  • 10.4 Healthcare
  • 10.5 Retail & E-Commerce
  • 10.6 Manufacturing
  • 10.7 Government & Defense
  • 10.8 Other End Users

11 Global AI-Optimized Network Infrastructure for Data Centers Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 Cisco Systems, Inc.
  • 13.2 Dell Technologies Inc.
  • 13.3 Hewlett Packard Enterprise (HPE)
  • 13.4 Lenovo Group Ltd.
  • 13.5 IBM Corporation
  • 13.6 Intel Corporation
  • 13.7 NVIDIA Corporation
  • 13.8 Microsoft Corporation
  • 13.9 Google LLC
  • 13.10 Amazon Web Services
  • 13.11 Huawei Technologies Co., Ltd.
  • 13.12 Juniper Networks, Inc.
  • 13.13 Arista Networks, Inc.
  • 13.14 Broadcom Inc.
  • 13.15 Oracle Corporation

List of Tables

  • Table 1 Global AI-Optimized Network Infrastructure for Data Centers Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global AI-Optimized Network Infrastructure for Data Centers Market Outlook, By Offering (2023-2034) ($MN)
  • Table 3 Global AI-Optimized Network Infrastructure for Data Centers Market Outlook, By Hardware (2023-2034) ($MN)
  • Table 4 Global AI-Optimized Network Infrastructure for Data Centers Market Outlook, By AI-Optimized Network Switches (2023-2034) ($MN)
  • Table 5 Global AI-Optimized Network Infrastructure for Data Centers Market Outlook, By High-Speed Routers & Interconnects (2023-2034) ($MN)
  • Table 6 Global AI-Optimized Network Infrastructure for Data Centers Market Outlook, By SmartNICs / DPUs (2023-2034) ($MN)
  • Table 7 Global AI-Optimized Network Infrastructure for Data Centers Market Outlook, By Software (2023-2034) ($MN)
  • Table 8 Global AI-Optimized Network Infrastructure for Data Centers Market Outlook, By AI-Driven Network Control & Orchestration (2023-2034) ($MN)
  • Table 9 Global AI-Optimized Network Infrastructure for Data Centers Market Outlook, By Traffic Optimization & Analytics (2023-2034) ($MN)
  • Table 10 Global AI-Optimized Network Infrastructure for Data Centers Market Outlook, By Services (2023-2034) ($MN)
  • Table 11 Global AI-Optimized Network Infrastructure for Data Centers Market Outlook, By Deployment & Integration (2023-2034) ($MN)
  • Table 12 Global AI-Optimized Network Infrastructure for Data Centers Market Outlook, By Managed & Support Services (2023-2034) ($MN)
  • Table 13 Global AI-Optimized Network Infrastructure for Data Centers Market Outlook, By Network Architecture (2023-2034) ($MN)
  • Table 14 Global AI-Optimized Network Infrastructure for Data Centers Market Outlook, By Software-Defined Networking (SDN) (2023-2034) ($MN)
  • Table 15 Global AI-Optimized Network Infrastructure for Data Centers Market Outlook, By Data Center Fabric (Spine-Leaf) (2023-2034) ($MN)
  • Table 16 Global AI-Optimized Network Infrastructure for Data Centers Market Outlook, By High-Performance Interconnect Networks (2023-2034) ($MN)
  • Table 17 Global AI-Optimized Network Infrastructure for Data Centers Market Outlook, By Autonomous / Intent-Based Networks (2023-2034) ($MN)
  • Table 18 Global AI-Optimized Network Infrastructure for Data Centers Market Outlook, By Other Network Architectures (2023-2034) ($MN)
  • Table 19 Global AI-Optimized Network Infrastructure for Data Centers Market Outlook, By Deployment Model (2023-2034) ($MN)
  • Table 20 Global AI-Optimized Network Infrastructure for Data Centers Market Outlook, By On-Premises (2023-2034) ($MN)
  • Table 21 Global AI-Optimized Network Infrastructure for Data Centers Market Outlook, By Cloud (2023-2034) ($MN)
  • Table 22 Global AI-Optimized Network Infrastructure for Data Centers Market Outlook, By Hybrid (2023-2034) ($MN)
  • Table 23 Global AI-Optimized Network Infrastructure for Data Centers Market Outlook, By Data Center Category (2023-2034) ($MN)
  • Table 24 Global AI-Optimized Network Infrastructure for Data Centers Market Outlook, By Hyperscale (2023-2034) ($MN)
  • Table 25 Global AI-Optimized Network Infrastructure for Data Centers Market Outlook, By Enterprise (2023-2034) ($MN)
  • Table 26 Global AI-Optimized Network Infrastructure for Data Centers Market Outlook, By Colocation (2023-2034) ($MN)
  • Table 27 Global AI-Optimized Network Infrastructure for Data Centers Market Outlook, By Edge (2023-2034) ($MN)
  • Table 28 Global AI-Optimized Network Infrastructure for Data Centers Market Outlook, By Other Data Center Categories (2023-2034) ($MN)
  • Table 29 Global AI-Optimized Network Infrastructure for Data Centers Market Outlook, By AI Usage (2023-2034) ($MN)
  • Table 30 Global AI-Optimized Network Infrastructure for Data Centers Market Outlook, By AI Workload Acceleration (2023-2034) ($MN)
  • Table 31 Global AI-Optimized Network Infrastructure for Data Centers Market Outlook, By Network Automation & Optimization (2023-2034) ($MN)
  • Table 32 Global AI-Optimized Network Infrastructure for Data Centers Market Outlook, By Predictive Operations & Maintenance (2023-2034) ($MN)
  • Table 33 Global AI-Optimized Network Infrastructure for Data Centers Market Outlook, By Other AI Usages (2023-2034) ($MN)
  • Table 34 Global AI-Optimized Network Infrastructure for Data Centers Market Outlook, By End User (2023-2034) ($MN)
  • Table 35 Global AI-Optimized Network Infrastructure for Data Centers Market Outlook, By IT & Telecommunications (2023-2034) ($MN)
  • Table 36 Global AI-Optimized Network Infrastructure for Data Centers Market Outlook, By BFSI (2023-2034) ($MN)
  • Table 37 Global AI-Optimized Network Infrastructure for Data Centers Market Outlook, By Healthcare (2023-2034) ($MN)
  • Table 38 Global AI-Optimized Network Infrastructure for Data Centers Market Outlook, By Retail & E-Commerce (2023-2034) ($MN)
  • Table 39 Global AI-Optimized Network Infrastructure for Data Centers Market Outlook, By Manufacturing (2023-2034) ($MN)
  • Table 40 Global AI-Optimized Network Infrastructure for Data Centers Market Outlook, By Government & Defense (2023-2034) ($MN)
  • Table 41 Global AI-Optimized Network Infrastructure for Data Centers Market Outlook, By Other End Users (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.