通信におけるAIの世界市場：2025年～2032年

世界の通信におけるAIの市場は、2024年に26億3,000万米ドルに達し、2032年には356億9,000万米ドルに達すると予測され、予測期間の2025年～2032年のCAGRは38.54%になる見込みです。

通信事業者はAIを使用して問題を迅速に特定できるため、通信における人工知能の需要が高まっています。通信事業者はIoTを採用し、通信における人工知能の展開を加速させています。その結果、様々な通信用途におけるAIソリューションの利用が増加し、通信業界におけるAIの成長を後押ししています。

例えば、Amdocsは2023年6月、通信事業者向けジェネレーティブAIプラットフォーム「Amdocs amAIz」を発表しました。この最先端ソリューションは、キャリアグレードのアーキテクチャとオープンソース技術を、実質的な言語AIモデルと組み合わせて使用しています。さらに2022年10月、NokiaはAI成熟度評価ツールを発表しました。このツールは、通信サービスプロバイダーが効果的な人工知能戦略を開発・導入する際の支援を目的としています。その結果、これらの変数は、通信事業におけるAIの成長に大きな利益をもたらす可能性を示すことになります。

IT・通信は最も急成長している分野の1つであり、カスタマー・エクスペリエンスやネットワークの安定性など、業務の多くの部分で人工知能（AI）を採用しています。電気通信事業者は一般的に、顧客サービス用途に人工知能を使用しています。

チャットボットやバーチャルアシスタントは、多数の設置、メンテナンス、トラブルシューティングの問い合わせに対応します。バーチャルアシスタントはまた、クレーム対応をスケールアップして自動化することで、顧客体験を向上させ、ビジネスコストを削減することができます。例えば、Vodafone Ltd.では、TOBiチャットボットを導入して顧客からの問い合わせに対応した結果、顧客体験が68%向上しました。

当レポートでは、世界の通信におけるAI市場について調査し、市場の概要とともに、オファリング別、展開タイプ別、技術別、用途別、地域別動向、競合情勢、および市場に参入する企業のプロファイルなどを提供しています。

目次

第1章 調査手法と範囲

第2章 定義と概要

第3章 エグゼクティブサマリー

第4章 市場力学

• 影響要因
  • 促進要因
  • 抑制要因
  • 機会
  • 影響分析

第5章 業界分析

第6章 オファリング別

• ソリューション
• サービス

第7章 展開タイプ別

• オンプレミス
• クラウドベース

第8章 技術別

• 機械学習
• 自然言語処理（NLP）
• データ分析
• その他

第9章 用途別

• 顧客分析
• ネットワークセキュリティ
• ネットワーク最適化
• 自己診断
• バーチャルアシスタンス
• その他

第10章 地域別

• 北米
  • 米国
  • カナダ
  • メキシコ
• 欧州
  • ドイツ
  • 英国
  • フランス
  • イタリア
  • ロシア
  • その他
• 南米
  • ブラジル
  • アルゼンチン
  • その他
• アジア太平洋
  • 中国
  • インド
  • 日本
  • オーストラリア
  • その他
• 中東・アフリカ

第11章 競合情勢

第12章 企業プロファイル

• AT&T
• Intel Corporation
• Cisco Systems, Inc.
• Google LLC
• IBM Corporation
• Infosys Limited
• Intel Corporation
• Microsoft
• Nuance Communications, Inc.
• Salesforce, Inc.
• ZTE Corporation

第13章 付録

Global AI in Telecommunication Market reached US$ 2.63 billion in 2024 and is expected to reach US$ 35.69 billion by 2032, growing with a CAGR of 38.54% during the forecast period 2025-2032.

The demand for artificial intelligence in telecommunications is increasing since telecom businesses can quickly identify problems using AI. Telecom businesses are embracing IoT to accelerate the deployment of artificial intelligence in telecommunications. As a result, the increasing usage of AI solutions in various telecom applications drives the growth of AI in the telecommunications industry.

For instance, in June 2023, Amdocs launched Amdocs amAIz, a telco generative AI platform. This cutting-edge solution uses carrier-grade architecture and open-source technology in conjunction with substantial language AI models. Furthermore, in October 2022, Nokia launched an AI maturity evaluation tool. This tool is intended to assist communication service providers in developing and implementing effective artificial intelligence strategies. As a result, these variables will present significant profitable potential for the growth of AI in the communications business.

Market Dynamics

Driver - Rising Focus on Improving Customer Experience

Telecommunications is one of the most rapidly growing sector and it employs artificial intelligence (AI) in many parts of its operations, including customer experience and network stability. Telecom businesses generally use artificial intelligence for customer service applications.

Chatbots and virtual assistants handle a large number of installation, maintenance and troubleshooting inquiries. Virtual assistants can also scale and automate claims responses, thereby increasing customer experience and lowering business costs. For example, Vodafone Ltd. saw a 68% boost in customer experience after implementing its TOBi chatbot to handle customer inquiries.

Restraint: interoperability issues

Interoperability difficulties have a substantial impact on market demand for AI in the telecommunications sector. The integration of AI systems into existing telecommunications infrastructure frequently presents issues in assuring seamless compatibility. Telecommunication networks are often made up of several technologies, protocols and legacy systems, making it difficult to integrate AI effectively.

Market Segment Analysis

The global AI in Telecommunication market is segmented based on offering, deployment type, technology, application and region.

Solutions in the global market is expected to drive the market.

In the AI in telecommunications market, the solution category includes a collection of AI-powered solutions designed to address specific difficulties in the telecommunications sector. Trends in this field show a growing emphasis on solutions that improve network efficiency, consumer experiences and cyber security. For example, at Mobile World Congress Los Angeles in October 2021, IBM collaborates and expands partner partnerships to advance the company's capabilities in hybrid cloud, AI, network automation and security. These breakthroughs emphasize IBM's role in helping the telecommunications industry grow as 5G and edge computing transform how businesses and consumers connect.

Market Geographical Share

Rapid Technological Advancements in Asia-Pacific.

Asia Pacific is predicted to expand at fastest CAGR during the forecast period. This expansion is due to significant technical improvements in rising economies like China and India. For example, Huawei Technologies Co., Ltd., a global telecommunications equipment and consumer electronics company, collaborates with China Telecom Corporation Ltd., a supplier of internet access and mobile telecommunications services. This partnership will investigate radio cell capacity prediction and wireless network cell anomaly detection using the Network AI Engine (NAIE). Additionally, in February 2023, Bharti Airtel teamed with NVIDIA to build an AI solution focused at improving customer experiences for all inbound calls handled at its contact center.

Sustainability and Green Technology Analysis

The global AI in telecommunications industry is quickly evolving, driven by the demand for automation, predictive analytics and increased network efficiency. However, sustainability concerns have arisen as a result of the high energy consumption of AI-powered systems, data centers' carbon footprint and e-waste management issues. To decrease their environmental impact, telecom corporations are transitioning to data centers fueled by renewable energy. For example, Google and AT&T are building carbon-neutral AI data centers powered by wind and solar energy. Investing in renewable energy, smart AI solutions and circular economy projects allows telecom businesses to integrate technological growth with environmental responsibility.

Major Global Players

The major global players in the market include AT&T, Cisco Systems, Inc., Google LLC, IBM Corporation, Infosys Limited, Intel Corporation, Microsoft, Nuance Communications, Inc., Salesforce, Inc. and ZTE Corporation.

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Target Audience 2024

Manufacturers/ Buyers

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Research Professionals

Emerging Companies

Table of Contents

1. Methodology and Scope

• 1.1. Research Methodology
• 1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

• 3.1. Snippet by Offering
• 3.2. Snippet by Deployment Type
• 3.3. Snippet by Technology
• 3.4. Snippet by Application
• 3.5. Snippet by Region

4. Dynamics

• 4.1. Impacting Factors
  • 4.1.1. Drivers
    • 4.1.1.1. Rising Focus on Improving Customer Experience
  • 4.1.2. Restraints
    • 4.1.2.1. Interoperability issues
  • 4.1.3. Opportunity
  • 4.1.4. Impact Analysis

5. Industry Analysis

• 5.1. Porter's Five Force Analysis
• 5.2. Supply Chain Analysis
• 5.3. Value Chain Analysis
• 5.4. Pricing Analysis
• 5.5. Regulatory and Compliance Analysis
• 5.6. AI & Automation Impact Analysis
• 5.7. R&D and Innovation Analysis
• 5.8. Sustainability & Green Technology Analysis
• 5.9. Cybersecurity Analysis
• 5.10. Next Generation Technology Analysis
• 5.11. Technology Roadmap
• 5.12. DMI Opinion

6. By Offering

• 6.1. Introduction
  • 6.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
  • 6.1.2. Market Attractiveness Index, By Offering
• 6.2. Solution*
  • 6.2.1. Introduction
  • 6.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
• 6.3. Service

7. By Deployment Type

• 7.1. Introduction
  • 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
  • 7.1.2. Market Attractiveness Index, By Deployment Type
• 7.2. On-premises*
  • 7.2.1. Introduction
  • 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
• 7.3. Cloud-based

8. By Technology

• 8.1. Introduction
  • 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
  • 8.1.2. Market Attractiveness Index, By Technology
• 8.2. Machine Learning*
  • 8.2.1. Introduction
  • 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
• 8.3. Natural Language Processing (NLP)
• 8.4. Data Analytics
• 8.5. Others

9. By Application

• 9.1. Introduction
  • 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
  • 9.1.2. Market Attractiveness Index, By Application
• 9.2. Customer Analytics*
  • 9.2.1. Introduction
  • 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
• 9.3. Network Security
• 9.4. Network Optimization
• 9.5. Self-Diagnostics
• 9.6. Virtual Assistance
• 9.7. Others

10. By Region

• 10.1. Introduction
  • 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
  • 10.1.2. Market Attractiveness Index, By Region
• 10.2. North America
  • 10.2.1. Introduction
  • 10.2.2. Key Region-Specific Dynamics
  • 10.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
  • 10.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
  • 10.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
  • 10.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
  • 10.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
    • 10.2.7.1. U.S.
    • 10.2.7.2. Canada
    • 10.2.7.3. Mexico
• 10.3. Europe
  • 10.3.1. Introduction
  • 10.3.2. Key Region-Specific Dynamics
  • 10.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
  • 10.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
  • 10.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
  • 10.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
  • 10.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
    • 10.3.7.1. Germany
    • 10.3.7.2. UK
    • 10.3.7.3. France
    • 10.3.7.4. Italy
    • 10.3.7.5. Russia
    • 10.3.7.6. Rest of Europe
• 10.4. South America
  • 10.4.1. Introduction
  • 10.4.2. Key Region-Specific Dynamics
  • 10.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
  • 10.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
  • 10.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
  • 10.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
  • 10.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
    • 10.4.7.1. Brazil
    • 10.4.7.2. Argentina
    • 10.4.7.3. Rest of South America
• 10.5. Asia-Pacific
  • 10.5.1. Introduction
  • 10.5.2. Key Region-Specific Dynamics
  • 10.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
  • 10.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
  • 10.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
  • 10.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
  • 10.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
    • 10.5.7.1. China
    • 10.5.7.2. India
    • 10.5.7.3. Japan
    • 10.5.7.4. Australia
    • 10.5.7.5. Rest of Asia-Pacific
• 10.6. Middle East and Africa
  • 10.6.1. Introduction
  • 10.6.2. Key Region-Specific Dynamics
  • 10.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
  • 10.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
  • 10.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
  • 10.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application

11. Competitive Landscape

• 11.1. Competitive Scenario
• 11.2. Market Positioning/Share Analysis
• 11.3. Mergers and Acquisitions Analysis

12. Company Profiles

• 12.1. AT&T*
  • 12.1.1. Company Overview
  • 12.1.2. Product Portfolio and Description
  • 12.1.3. Financial Overview
  • 12.1.4. Key Developments
• 12.2. Intel Corporation
• 12.3. Cisco Systems, Inc.
• 12.4. Google LLC
• 12.5. IBM Corporation
• 12.6. Infosys Limited
• 12.7. Intel Corporation
• 12.8. Microsoft
• 12.9. Nuance Communications, Inc.
• 12.10. Salesforce, Inc.
• 12.11. ZTE Corporation

LIST NOT EXHAUSTIVE

13. Appendix

• 13.1. About Us and Services
• 13.2. Contact Us