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世界のセルラーネットワークにおけるAI市場　2025-2029年

Global AI in Cellular Networks Market: 2025-2029

世界のセルラーネットワークにおけるAI市場　2025-2029年

商品番号 : SMB-76221

出版社Juniper Research
出版年月2025年4月
価格タイプFull Research Suite
価格GBP 4,250
種別英文調査報告書
※※部分購入も可能です。価格表をご参照ください。

通信事業者はAIへの年間投資を2025年に130億ドル、2029年までには220億ドルに増資するとJuniper Researchでは予測しています。

当レポートはセルラーネットワークで活用されているAIの世界市場を調査し、市場予測、市場動向＆戦略分析、関連企業情報など、通信事業者やネットワークAIベンダーにとって有益となる情報を提供します。またまモバイルネットワーク事業者（MNO）やネットワークAIベンダーなどの市場の関係者が、ネットワークにおけるAIの活用に関するビジネス戦略について、情報に基づいた意思決定を行う際に有用となるデータも提供します。この調査レポートには、通信事業者によるセルラーネットワークへのAI導入に関する8つのケーススタディに加え、Indosat Ooredoo HutchisonのAI-RAN戦略に関するケーススタディも含まれています。ケーススタディの対象企業は下記の通りです。

  • AT&T
  • China Mobile
  • Deutsche Telekom
  • Telefónica
  • SK Telecom
  • stc
  • Verizon
  • Vodafone

当調査レポートには、事業者がネットワークにAIを導入する際の主な目標の内訳と、これらの目標が今後どのように進化していくかを分析しています。さらに、無線アクセスネットワーク（RAN）におけるAI、AI-RANアライアンス、水平RANスタックの開発、ソブリンAI、ネットワークプランニングにおけるAI、ネットワークメンテナンスにおけるAI、ネットワークスライシングと差別化接続におけるAIなど、主要な概念と技術の戦略的分析も含まれています。

提供物

  • Market Trends & Strategies
    • 市場動向＆戦略レポート（PDF）
  • Competitor Leaderboard
    • 競合リーダーボードレポート（PDF）
  • Market Data & Forecasts
    • 市場データ＆予測レポート（PDF）
    • インタラクティブな予測データ（Excel）
    •  Juniper Researchのオンラインデータプラットフォーム「harvest」へのアクセス

世界のセルラーネットワークにおけるAI市場　2025-2029年

Overview

Our AI in Cellular Networks research suite provides operators and AI in network vendors with analysis and actionable insights. It also includes data which enables stakeholders in the market, such as mobile network operators (MNOs) and network AI vendors, to make informed decisions on business strategy for their involvement with AI in networks. The research suite covers eight case studies into operators’ AI in cellular networks deployments, as well as a further case study for Indosat Ooredoo Hutchison’s AI-RAN strategy. These case studies include:

  • AT&T
  • China Mobile
  • Deutsche Telekom
  • Telefónica
  • SK Telecom
  • stc
  • Verizon
  • Vodafone

Each of these case studies breaks down how a leading operator is deploying and innovating with AI in their networks, with analysis from Juniper Research on the core strengths of their deployments and innovations, and evaluation of how these deployments position the operator in the future. This allows other operators and network AI vendors to understand how those at the forefront of the market are approaching network AI; supporting informed decision-making and strategy formulation.

世界のセルラーネットワークにおけるAI市場　2025-2029年
Global AI in Cellular Networks Market

The research suite also includes a breakdown of the key goals of operators’ AI in networks deployments, with analysis of how Juniper Research expects these goals to evolve in the future. This is coupled with strategic analysis of key concepts and technologies, including AI in Radio Access Network (RAN), the AI-RAN Alliance, the development of horizontal RAN stacks, sovereign AI, AI in network planning, AI in network maintenance, and AI in network slicing and differentiated connectivity.

It further provides recommendations and assessments on how operators can use AI to improve their network security, as well as protect their own AI deployments from fraudsters and malicious actors, and strategic analysis of how operators can maximise the impact of AI in their datacentres and cloud infrastructure. Through this, operators, network AI vendors, and other stakeholders can effectively evaluate and make informed business decisions regarding different areas of AI deployments.

As well as this, the report offers insight into technologies and standards including agentic AI, TeleManagement (TM) Forum’s Autonomous Networks, 6G, large language model (LLM), and the GSMA’s Open-Telco LLM Benchmarks. Accompanied by Juniper Research’s recommendations and analysis, each of these sections identifies future development opportunities and strategies, in addition to providing an understanding of key trends.

The market forecast suite includes several different options that can be purchased separately, including access to data mapping and a forecast document, a strategy and trends document detailing critical trends in the market, and strategic recommendations for monetising and innovating AI in cellular networks.

The research suite includes a Competitor Leaderboard, which can be purchased separately; containing analysis and market sizing for 16 leading network AI vendors, who each provide operators with software for AI in network deployments.

Collectively, the suite provides a critical tool for understanding the AI in cellular networks market allowing operators, AI in network vendors, and other stakeholders to optimise their future business and product development strategies for the market; providing a competitive advantage over their rivals.

All report content is delivered in the English language.

Key Features

  • Market Dynamics: Insights into the key trends and opportunities within the AI in cellular networks market, including the development of AI-RAN by the AI-RAN Alliance, the role of sovereign AI, how AI is being used in network security, and how operators are progressing their AI use cases. It also includes strategic analysis of eight leading operators’ use of AI in their networks, with a case study into each operator’s deployments and investments.
  • Key Takeaways & Strategic Recommendations: In-depth analysis of key development opportunities and findings within the AI in cellular networks market, accompanied by strategic recommendations for operators and AI in network vendors seeking to grow their revenue or gain an advantage in their product offerings.
  • Benchmark Industry Forecasts: The suite provides four-year forecasts for the global AI in cellular networks market; providing data for the total number of SIMs, total operator revenue, total operator investment in digital transformation, total operator investment in AI, and total operator investment in network AI. Total operator investment in network AI is provided with splits for total operator investment in network AI for RAN, total operator investment in network AI for orchestration and management, total operator investment in network AI for network security, and total operator investment in network AI for operations and maintenance (O&M).
  • Juniper Research Future Leaders’ Index: Key player capability and capacity assessment for 16 AI in networks vendors, with market sizing and detailed analysis for each vendor’s offering.

Research Deliverables

世界のセルラーネットワークにおけるAI市場　2025-2029年 123

世界のセルラーネットワークにおけるAI市場　2025-2029年 1234

Market Data & Forecasts

The market-leading research suite for the AI in networks market includes access to the full set of forecast data, comprising more than 7,900 datapoints. Metrics in the research suite include:

  • Total Operator Revenue
  • Total Operator Investment in Digital Transformation
  • Total Operator Investment in AI
  • Total Operator Investment in Network AI
  • Total Operator Investment in Network AI for RAN
  • Total Operator Investment in Network AI for Orchestration and Management
  • Total Operator Investment in Network AI for Network Security
  • Total Operator Investment in Network AI for O&M

Juniper Research’s Interactive Forecast Excel contains the following functionality:

  • Statistics Analysis: Users benefit from the ability to search for specific metrics, displayed for all regions and countries across the data period. Graphs are easily modified and can be exported to the clipboard.
  • Country Data Tool: This tool lets users look at metrics for all regions and countries in the forecast period. Users can refine the metrics displayed via a search bar.
  • Country Comparison Tool: Users can select and compare specific countries. The ability to export graphs is included in this tool.
  • What-if Analysis: Here, users can compare forecast metrics against their own assumptions, via three interactive scenarios.

Market Trends & Strategies Report

The report thoroughly examines the global AI in Cellular Networks market; assessing market trends, technological developments, and commercial opportunities which are shaping the market both in the present and the future. Alongside this analysis, the document includes a comprehensive analysis of the different areas of AI deployment, such as in RAN, datacentre management, and network slicing; with this analysis supporting stakeholders in evaluating how they can separate from their competition and become a market leader.

This innovative ecosystem report also includes a breakdown and evaluation of eight leading operators’ investments and deployments for network AI. These case studies allow players in the network AI market to better understand the direction of leaders in the market, in turn providing insight into key trends and a foundation to develop their own business and product or technology development strategies.

Competitor Leaderboard Report

The Competitor Leaderboard included in this report provides detailed evaluation and market positioning for 16 network AI vendors. These key companies are positioned as established leaders, leading challengers, or disruptors and challengers, based on a capacity, capability, and product assessment. This includes analysis of their key advantages in the market, future development plans, and key partnerships.

The AI in Cellular Networks Competitor Leaderboard includes the following key vendors:

  • Blue Planet
  • Cisco
  • Ericsson
  • Google Cloud
  • Huawei
  • IBM
  • Jio Platforms
  • Juniper Networks
  • Mavenir
  • Microsoft
  • Netcracker
  • Nokia
  • NVIDIA
  • Samsung
  • Subex
  • ZTE

レポート構成＆価格表

世界のセルラーネットワークにおけるAI市場　2025-2029年 12345

世界のセルラーネットワークにおけるAI市場　2025-2029年 123456

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プレスリリース

Operator AI Investment to Exceed $86bn Over the Next Four Years as ‘Zero Touch’ Becomes the Focus

Hampshire, UK – 7th April 2025: A new study from Juniper Research, the foremost experts in telecommunications, has found operators will increase their annual investment in AI to $22 billion by 2029; rising from $13 billion this year.

英国ハンプシャー – 2025年4月7日：通信事業者はAIへの年間投資を今年の130億ドルから2029年までに220億ドルに増やすと予測

Zero Touch

The report predicts this substantial increase of 62% will be driven by operators’ targets of achieving zero-touch operations within their cellular networks. Zero-touch operations significantly minimise or eliminate human intervention in network operations.

本レポートでは、この62%という大幅な増加は、通信事業者が携帯電話ネットワークにおけるゼロタッチオペレーションの実現を目指していることが牽引すると予測しています。ゼロタッチオペレーションは、ネットワーク運用における人的介入を大幅に削減、あるいは排除します。

Agentic AI in RAN: The Most Immediate ROI Benefit

The research identified agentic AI as an emerging technology; enabling operators to achieve zero-touch operations. Agentic AI systems autonomously make decisions based on defined parameters and execute network functions autonomously; backed by complex problem solving. Juniper Research believes that implementing agentic AI in the radio access network (RAN) will be the area that provides the greatest ROI for operators.

Optimising RAN through AI will substantially reduce latency in network decision making; enabling real-time optimisation. We expect more tier 1 operators to begin implementing agentic AI in RAN, but urge these operators to focus on using lightweight models, with a smaller number of parameters. This ensures that the AI models used can operate at the latency necessary to deliver improvements to customer experience. In doing so, these systems will be able to make autonomous decisions at a much faster pace; enabling operators to move towards zero-touch operations and improving user experience.

Research author Alex Webb remarked: “Despite the significant amount operators will invest, the cost savings arising from the reduced energy consumption enabled by implementing agentic AI in RANs is expected to be a substantial contributor to operators achieving ROI.”

About the Research

The new research suite offers the most comprehensive assessment of the AI in cellular network market to date, including insightful market analysis, a Competitor Leaderboard, and in-depth forecasts across 61 countries. The dataset contains over 7,900 market statistics over a five-year period.

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