人工智慧在企业 Wi-Fi 网路管理中的变革潜力

本报告深入分析了企业 Wi-Fi 网路市场，旨在帮助读者理解关键术语、近期併购活动以及人工智慧最具前景的应用。报告中还详细探讨了供应商的人工智慧网路能力，并分析了他们的获利模式和市场推广策略。

关键问题解答

• 人工智慧将在企业网路的未来发展中扮演怎样的角色？
• 领先的人工智慧企业网路供应商及其解决方案差异化和技术获利模式。
• 近年来，人工智慧在企业网路中的发展历程如何？在不久的将来，它将实现哪些功能？
• Wi-Fi 设备供应商应如何开发人工智慧来支援客户？
• 企业应采取哪些步骤才能透过部署人工智慧来实现业务目标？

目录

主要发现

企业 Wi-Fi 网路 AI 名词

AI 的快速发展

AI 在企业 Wi-Fi 网路中的应用案例

原生 AI 网路

AI 赋能网路自动化的可能性与前景

AI 赋能网路自动化面临的挑战

生成式和基于代理的 AI 的实作

处理 AI 工作负载

AI 的取得

AI 对企业业务/服务模式的影响

AI 对设备供应商业务/服务模式的影响

来自基础架构的 AI 赋能企业网路解决方案供应商

AI赋能网路功能

思科

HPE Aruba Networking

HPE Juniper Networks

Arista Networks

CommScope RUCKUS

Extreme Networks

华为

H3C

AI实施的挑战

面向企业Wi-Fi设备供应商的AI建议

面向组织的AI建议

Actionable Benefits:

• Understand how Artificial Intelligence (AI) will transform enterprise networking with analysis of the most promising AI use cases in enterprise Wi-Fi networking.
• Identify key opportunities and challenges within AI-enabled enterprise networking.
• Discover potential partners or keep track of the competition with detailed profiles of the AI-enabled networking capabilities of all the major enterprise Wi-Fi equipment vendors.
• Successfully implement AI to achieve business outcomes with guidance for how to best leverage AI within enterprise networking.
• Prepare go-to-market and monetization strategies for AI-enabled networking solutions with strategic recommendations for equipment vendors.

Critical Questions Answered:

• What role will AI play in the future of enterprise networking?
• Which companies are the leading AI-enabled enterprise networking vendors, and how have they differentiated their solutions and monetized the technology?
• In what ways has AI within enterprise networking evolved in recent years, and what functionality can we expect it to enable in the near-term?
• How can Wi-Fi equipment vendors develop AI to support their customers?
• What steps must organizations take to achieve their business outcomes through the implementation of AI?

Research Highlights:

• Primer on the key AI-enabled enterprise networking terms, on recent merger & acquisition activities, and on the most promising applications for AI within enterprise networking.
• In-depth examination of the AI-enabled networking features of all the major enterprise Wi-Fi AP vendors, with additional analysis of their monetization and go-to-market strategies.
• Recommendations for how equipment vendors can develop AI to support their customers, and how organizations can implement AI to achieve their business outcomes?

Who Should Read This?

• Product managers wishing to understand how best to integrate AI into their enterprise networking solutions.
• Innovation leaders within the Wi-Fi industry who need to keep up-to-speed with the latest AI-related developments and the vendor dynamics within the market.
• Business development professionals and marketing leaders looking to understand how AI-enabled networking solutions should be marketed and brought to market.
• Decision makers within enterprise and System Integrators (SIs) wanting to identify potential partners for AI-enabled networking deployments.

TABLE OF CONTENTS

Key Findings

AI Terminology for Enterprise Wi-Fi Networking

AIs Rapid Evolution

AI Use Cases in Enterprise Wi-Fi Networks

AI-Native Networking

The Possibilities and Promise of AI-Enabled Network Automation

The Challenges Facing AI-Enabled Network Automation

Implementation of Generative and Agentic AI

Handling AI workloads

AI Acquisitions

AIs Impact on Enterprise Business and Service Models

AIs Impact on Equipment Vendor Business and Service Models

AI-Enabled Enterprise Networking Solutions from Infrastructure Vendors

AI-Enabled Networking Features

Cisco

HPE Aruba Networking

HPE Juniper Networks

Arista Networks

CommScopes RUCKUS

Extreme Networks

Huawei

H3C

AI Implementation Challenges

AI Recommendations for Enterprise Wi-Fi Equipment Vendors

AI Recommendations for Organizations