Gartner Insights Abstract

2024年の展望:閉域網中心のネットワークから脱却すべきか

Published: 19 March 2024

Summary

企業ネットワークの在り方が大きく変わろうとしており、閉域網中心の単一で融通の利かないものから、クラウド中心の多様で柔軟なネットワークへの移行が始まっている。本リサーチノートでは、特にネットワークおよびそのセキュリティを担当するITリーダーに向け、2024年以降の企業ネットワークの展望を解説する。

Included in Full Research

要約

主要な所見
  • 企業ネットワーク運用管理は、機器/回線の状態把握、帯域の増強、機器の入れ替えなどさまざまな作業にわたるが、自動化や省力化が十分に進んでいない領域の1つである。

  • クラウド提供型のサービスは、利用するデバイス、ネットワーク、クラウド上のサービスなどさまざまな要因が品質の劣化に直接影響するため、どこから対処してよいか分からず、結果的に何の対もできていないケースが見受けられる。

  • トラフィック増に対処するために、一部の拠点に新たなインターネット回線を引き込み、ローカル・ブレイクアウトの形でトラフィックの負荷を軽減している企業が4割程度ある。

推奨事項
  • 自社が利用している機器や回線のベンダーが、AI利用を前提とした運用者向けインタフェースを積極的に導入する意向があるかどうかを確認し、積極的でないベンダーについては、契約更改時に継続して採用するか否かを判断できるようにする。

  • できる限り早期に自社のネットワーク全体の中核となる部分 (多くのユーザーが利用するゲートウェイおよびその周辺など) にエクスペリエンス監視を導入し、利用者からクレームが来る前にその予兆をつかむ体制を整える。

  • 閉域網をなくすことは、目的ではなく手段である。ベスト・エフォートの通信品質では不十分な通信や、インターネット経由でのサイバー攻撃にさらされたくない通信は、従来の閉域網接続の採用を継続する。

Clients can log in to view the entire document.

Analysts:

Takeshi Ikeda

Access Insights

Already a Gartner client?

To access these insights and much more, talk to Gartner today.

Fill out the form to connect with a specialist to learn how we can help you.

By clicking the "Continue" button, you are agreeing to the Gartner Terms of Use and Privacy Policy.

AskGartner: The AI-powered tool our clients use to find trusted Gartner insights, instantly.

AskGartner | Discover the new AI-powered tool to access trusted Gartner insights

Gartner research: Trusted insight for executives and their teams

What is Gartner research?

Gartner research, which includes in-depth proprietary studies, peer and industry best practices, trend analysis and quantitative modeling, enables us to offer innovative approaches that can help you drive stronger, more sustainable business performance.

Gartner research is unique, thanks to:

Independence and objectivity

Our independence as a research firm enables our experts to provide unbiased advice you can trust.

Actionable insights

Not only is Gartner research unbiased, it also contains key take-aways and recommendations for impactful next steps.

Proprietary methodologies

Our research practices and procedures distill large volumes of data into clear, precise recommendations.

Gartner research is just one of our many offerings.

We provide actionable, objective insight to help organizations make smarter, faster decisions to stay ahead of disruption and accelerate growth.

Tap into our experts

We offer one-on-one guidance tailored to your mission-critical priorities.

Pick the right tools and providers

We work with you to select the best-fit providers and tools, so you avoid the costly repercussions of a poor decision.

Create a network

Connect directly with peers to discuss common issues and initiatives and accelerate, validate and solidify your strategy.

© 2026 Gartner, Inc. and/or its affiliates. All rights reserved. Gartner is a registered trademark of Gartner, Inc. and its affiliates. This publication may not be reproduced or distributed in any form without Gartner's prior written permission. It consists of the opinions of Gartner's business and technology insights organization, which should not be construed as statements of fact. While the information contained in this publication has been obtained from sources believed to be reliable, Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such information. Although Gartner business and technology insights may address legal and financial issues, Gartner does not provide legal or investment advice and its insights should not be construed or used as such. Your access and use of this publication are governed by Gartner’s Usage Policy. Gartner prides itself on its reputation for independence and objectivity. Its insights are produced independently by its business and technology insights organization without input or influence from any third party. For further information, see Guiding Principles on Independence and Objectivity. Gartner publications and other content may not be used as input into or for the training or development of generative artificial intelligence, machine learning, algorithms, software or related technologies.