市場調査レポート

商品コード

1624008

通信における人工知能市場規模、シェア、成長分析、コンポーネント別、展開モデル別、技術別、用途別、地域別- 産業予測、2025-2032年

Artificial Intelligence In Telecommunication Market Size, Share, Growth Analysis, By Component (Solution, Service), By Deployment Model (On-Premises, Cloud), By Technology, By Application, By Region - Industry Forecast 2025-2032

出版日: 2025年01月01日
発行: SkyQuest
ページ情報: 英文 165 Pages
納期: 3～5営業日

価格

PDF & Excel (Single User License)

USD 5,300 763,518円

レポートPDF・Excelを1 名様のみがご利用頂けるライセンスです。PDF・Excell内のテキスト等のコピーは可能です。PDF・Excelの印刷は可能ですが、印刷したもののご利用はPDF・Excelのご利用範囲に準拠します

PDF & Excel (Multiple User License)

USD 6,200 893,172円

レポートPDF・Excel2-5名様までがご利用頂けるライセンスです。PDF・Excel内のテキスト等のコピーは可能です。PDF・Excelの印刷は可能ですが、印刷したもののご利用はPDF・Excelのご利用範囲に準拠します。

PDF & Excel (Enterprise License)

USD 7,100 1,022,826円

レポートPDF・Excelを同一企業に所属の全世界の方にご使用頂けるライセンスです。PDF・Excel内のテキスト等のコピーは可能です。PDF・Excelの印刷は可能ですが、印刷したもののご利用はPDF・Excelのご利用範囲に準拠します。

価格表記: USDを日本円(税抜)に換算

本日の銀行送金レート: 1USD=144.06円

全表示
概要
目次

概要

サンプル依頼リストに入れる

通信における人工知能の世界市場規模は、2023年に22億4,000万米ドルと評価され、予測期間（2025年～2032年）のCAGRは40.9％で成長し、2024年の31億6,000万米ドルから2032年には490億3,000万米ドルに成長する見通しです。

テレコム企業は、運用コストの削減と顧客体験の向上のためにAIと自動化を活用しています。AI技術は、自己最適化ネットワークの開発に役立っており、確立された設計パラメータを維持しながらリアルタイムのシステム調整を可能にしています。この機能により、ネットワーク事業者は問題の根本原因を迅速に特定し、サービス・レベル・アグリーメント（SLA）違反を防ぐことができます。業界が4Gから5Gに移行する中、予想される超低遅延はデータ伝送速度を大幅に向上させます。さらに、通信インフラはモノのインターネット（IoT）アプリケーションをサポートするようになってきています。特筆すべきは、グーグルとAT&Tの知的財産のようなパートナーシップが、グーグル・クラウドの技術を通じて企業が5Gネットワーク・アクセスを利用する道を開き、アナリティクス、AI/機械学習、ネットワーキングを融合させ、5G環境における革新的な製品開発を可能にしていることです。

北米
- 米国
- カナダ
欧州
- ドイツ
- スペイン
- フランス
- 英国
- イタリア
- その他欧州地域
アジア太平洋地域
- 中国
- インド
- 日本
- 韓国
- その他アジア太平洋地域
ラテンアメリカ
- ブラジル
- その他ラテンアメリカ地域
中東・アフリカ
- GCC諸国
- 南アフリカ
- その他中東・アフリカ

競合情報

上位5社の比較
主要企業の市場ポジショニング（2024年）
主な市場企業が採用した戦略
市場の最近の動向
企業の市場シェア分析（2024年）
主要企業の企業プロファイル
- 会社概要
- 製品ポートフォリオ分析
- セグメント別シェア分析
- 収益の前年比比較（2022-2024）

主要企業プロファイル

IBM Corporation（US）
Microsoft（US）
Intel Corporation（US）
Google LLC（US）
AT&T Intellectual Property（US）
Cisco Systems, Inc.（US）
Nuance Communications, Inc.（US）
Evolv Technologies Holdings Inc.（US）
H2O.ai（US）
Infosys Limited（India）
Salesforce, Inc.（US）
NVIDIA Corporation（US）
Telefonaktiebolaget LM Ericsson（Sweden）
Nokia Corporation（Finland）
ZTE Corporation（China）
Amdocs（US）
Bharti Airtel（India）
Amazon Web Services（AWS）（US）
SK Telecom（South Korea）
American Tower Corporation（US）

結論と推奨事項

Product Code: SQSG45H2012

Global Artificial Intelligence In Telecommunication Market size was valued at USD 2.24 billion in 2023 and is poised to grow from USD 3.16 billion in 2024 to USD 49.03 billion by 2032, growing at a CAGR of 40.9% during the forecast period (2025-2032).

Telecom companies are leveraging AI and automation to reduce operational costs and enhance customer experiences. AI technologies are instrumental in developing self-optimizing networks, enabling real-time system adjustments while maintaining established design parameters. This capability allows network operators to swiftly identify root causes of issues, preventing Service-Level Agreement (SLA) breaches. As the industry transitions from 4G to 5G, the expected ultra-low latency will significantly enhance data transmission speeds. Additionally, telecom infrastructure is increasingly supporting Internet of Things (IoT) applications. Notably, partnerships such as Google and AT&T Intellectual Property are paving the way for businesses to utilize 5G network access via Google Cloud technologies, merging analytics, AI/machine learning, and networking for innovative product development in the 5G landscape.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global Artificial Intelligence In Telecommunication market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Global Artificial Intelligence In Telecommunication Market Segmental Analysis

Global Artificial Intelligence In Telecommunication Market is segmented by Component, Deployment Model, Technology, Application and region. Based on Component, the market is segmented into Solution and Service. Based on Deployment Model, the market is segmented into On-Premises and Cloud. Based on Technology, the market is segmented into Machine Learning and Deep Learning, Natural Language Processing (NLP), Generative AI, and Others. Based on Application, the market is segmented into Customer Analytics, Network Security, Network Optimization, Self-Diagnostics, Virtual Assistance and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Global Artificial Intelligence In Telecommunication Market

The Global Artificial Intelligence in Telecommunication market is driven by several key factors that telecom service providers are focusing on to enhance their networks, particularly with the transition to 5G technology. The primary objectives include reducing operational costs and improving returns on network investments. The increasing adoption of AI technology is propelling market growth, primarily for superior network performance management-especially with the rising demand driven by OTT platforms and the evolving landscape of audio and video content. As customers migrate to these platforms, the pressure for higher bandwidth escalates, consequently increasing operational costs for telecommunications companies. However, AI can alleviate these expenses by minimizing human intervention in network configuration and maintenance, facilitating automation that enables quicker outreach to clients and faster service deployment. Thus, the demand for AI solutions within the telecom sector is expected to rise significantly in the coming years.

Restraints in the Global Artificial Intelligence In Telecommunication Market

The Global Artificial Intelligence in Telecommunications market faces challenges due to its dependence on technology that can swiftly detect fraud. As AI integrates into various sectors, including telecommunications, its capacity for real-time fraud analytics becomes essential. When AI identifies any irregular behavior, it can effectively halt the service or user, thereby mitigating potential fraud. Furthermore, the escalating threat of cyberattacks on businesses, coupled with the rising need for self-optimizing networks, is anticipated to drive the growth of AI solutions in telecommunications. However, these factors also underline the importance of upholding robust security measures during this expansion.

Market Trends of the Global Artificial Intelligence In Telecommunication Market

The Global Artificial Intelligence in Telecommunication market is experiencing significant growth, propelled by accelerated 5G rollout initiatives from governments worldwide recognizing its critical role in digital transformation. This technological evolution is set to enhance automation and leverage AI across the telecom sector, fostering the Internet of Things (IoT) and edge computing innovations. The demand for superior services and seamless customer experiences is increasingly driving the integration of AI solutions, leading to improved operational efficiencies and service delivery. As a result, the market is poised for rapid expansion, reflecting the pivotal intersection of advanced connectivity and intelligent systems in telecommunications.

Introduction

Objectives of the Study
Scope of the Report
Definitions

Research Methodology

Information Procurement
Secondary & Primary Data Methods
Market Size Estimation
Market Assumptions & Limitations

Executive Summary

Global Market Outlook
Supply & Demand Trend Analysis
Segmental Opportunity Analysis

Market Dynamics & Outlook

Market Overview
Market Size
Market Dynamics
- Drivers & Opportunities
- Restraints & Challenges
Porters Analysis
- Competitive rivalry
- Threat of substitute
- Bargaining power of buyers
- Threat of new entrants
- Bargaining power of suppliers

Key Market Insights

Key Success Factors
Degree of Competition
Top Investment Pockets
Market Ecosystem
Market Attractiveness Index, 2024
PESTEL Analysis
Macro-Economic Indicators
Value Chain Analysis
Pricing Analysis
Technology Analysis
Regulatory Analysis
Patent Analysis
Case Studies

Global Artificial Intelligence In Telecommunication Market Size by Component & CAGR (2025-2032)

Market Overview
Solution
Services
- Managed Services
- Professional Services

Global Artificial Intelligence In Telecommunication Market Size by Deployment Model & CAGR (2025-2032)

Market Overview
On-Premises
Cloud

Global Artificial Intelligence In Telecommunication Market Size by Technology & CAGR (2025-2032)

Market Overview
Machine Learning & Deep Learning
Natural Language Processing (NLP)
Generative AI
Others

Global Artificial Intelligence In Telecommunication Market Size by Application & CAGR (2025-2032)

Market Overview
Customer Analytics
Network Security
Network Optimization
Self-Diagnostics
Virtual Assistance
Others

Global Artificial Intelligence In Telecommunication Market Size & CAGR (2025-2032)

North America (Component, Deployment Model, Technology, Application)
- US
- Canada
Europe (Component, Deployment Model, Technology, Application)
- Germany
- Spain
- France
- UK
- Italy
- Rest of Europe
Asia Pacific (Component, Deployment Model, Technology, Application)
- China
- India
- Japan
- South Korea
- Rest of Asia-Pacific
Latin America (Component, Deployment Model, Technology, Application)
- Brazil
- Rest of Latin America
Middle East & Africa (Component, Deployment Model, Technology, Application)
- GCC Countries
- South Africa
- Rest of Middle East & Africa

Competitive Intelligence

Top 5 Player Comparison
Market Positioning of Key Players, 2024
Strategies Adopted by Key Market Players
Recent Developments in the Market
Company Market Share Analysis, 2024
Company Profiles of All Key Players
- Company Details
- Product Portfolio Analysis
- Company's Segmental Share Analysis
- Revenue Y-O-Y Comparison (2022-2024)

Key Company Profiles

IBM Corporation (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Microsoft (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Intel Corporation (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Google LLC (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
AT&T Intellectual Property (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Cisco Systems, Inc. (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Nuance Communications, Inc. (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Evolv Technologies Holdings Inc. (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
H2O.ai (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Infosys Limited (India)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Salesforce, Inc. (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
NVIDIA Corporation (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Telefonaktiebolaget LM Ericsson (Sweden)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Nokia Corporation (Finland)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
ZTE Corporation (China)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Amdocs (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Bharti Airtel (India)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Amazon Web Services (AWS) (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
SK Telecom (South Korea)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
American Tower Corporation (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments

通信における人工知能市場規模、シェア、成長分析、コンポーネント別、展開モデル別、技術別、用途別、地域別- 産業予測、2025-2032年

Artificial Intelligence In Telecommunication Market Size, Share, Growth Analysis, By Component (Solution, Service), By Deployment Model (On-Premises, Cloud), By Technology, By Application, By Region - Industry Forecast 2025-2032

目次

イントロダクション

調査手法

エグゼクティブサマリー

市場力学と見通し

主な市場の考察

通信における人工知能市場規模：コンポーネント別

通信における人工知能市場規模：展開モデル別

通信における人工知能市場規模：技術別

通信における人工知能市場規模：用途別

通信における人工知能市場規模