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市場調查報告書

商品編碼

1683341

全球電信市場人工智慧 - 2025 至 2032 年

Global AI in Telecommunication Market - 2025-2032

出版日期: 2025年03月20日 | 出版商:

DataM Intelligence | 英文 180 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

2024 年全球電信市場人工智慧規模達到 26.3 億美元，預計到 2032 年將達到 356.9 億美元，2025-2032 年預測期內複合年成長率為 38.54%。

由於電信企業可以使用人工智慧快速識別問題，因此電信業對人工智慧的需求正在增加。電信企業正在擁抱物聯網，加速人工智慧在電信領域的部署。因此，人工智慧解決方案在各種電信應用中的使用日益增多，推動了人工智慧在電信業的成長。

例如，2023 年 6 月，Amdocs 推出了電信生成 AI 平台 Amdocs amAIz。此尖端解決方案採用營運商級架構和開源技術，結合大量語言 AI 模型。此外，2022年10月，諾基亞推出了AI成熟度評估工具。該工具旨在協助通訊服務提供者制定和實施有效的人工智慧策略。因此，這些變數將為人工智慧在通訊業務中的成長帶來巨大的獲利潛力。

市場動態

促進因素－更重視改善客戶體驗

電信是成長最快的行業之一，其營運的許多部分都採用了人工智慧（AI），包括客戶體驗和網路穩定性。電信企業普遍將人工智慧用於客戶服務應用。

聊天機器人和虛擬助理處理大量的安裝、維護和故障排除查詢。虛擬助理還可以擴展和自動化索賠回應，從而提高客戶體驗並降低業務成本。例如，沃達豐有限公司在實施 TOBi 聊天機器人處理客戶查詢後，客戶體驗提升了 68%。

限制：互通性問題

互通性困難對電信領域對人工智慧的市場需求產生了重大影響。人工智慧系統與現有電信基礎設施的整合經常會出現確保無縫相容性的問題。電信網路通常由多種技術、協定和遺留系統組成，因此很難有效整合人工智慧。

市場區隔分析

全球電信人工智慧市場根據產品、部署類型、技術、應用和地區進行細分。

預計全球市場的解決方案將推動市場發展。

在電信人工智慧市場中，解決方案類別包括一系列旨在解決電信領域特定困難的人工智慧解決方案。該領域的趨勢表明，人們越來越重視提高網路效率、消費者體驗和網路安全的解決方案。例如，在2021年10月的洛杉磯世界行動通訊大會上，IBM 與合作夥伴展開合作並擴大合作關係，以提升公司在混合雲端、AI、網路自動化和安全方面的能力。隨著 5G 和邊緣運算改變企業和消費者的聯繫方式，這些突破凸顯了 IBM 在幫助電信產業發展方面所扮演的角色。

市場地理佔有率

亞太地區的技術進步日新月異。

預計在預測期內，亞太地區將以最快的複合年成長率擴張。這種擴張得益於中國和印度等新興經濟體的重大技術進步。例如，全球電信設備和消費性電子公司華為技術有限公司與網際網路接入和行動電信服務供應商中國電信股份有限公司進行合作。此次合作將利用網路人工智慧引擎（NAIE）研究無線小區容量預測和無線網路小區異常檢測。此外，2023 年 2 月，Bharti Airtel 與 NVIDIA 合作建置了一款 AI 解決方案，專注於改善其聯絡中心處理的所有來電的客戶體驗。

永續性和綠色技術分析

在自動化、預測分析和提高網路效率的需求的推動下，全球電信業的人工智慧正在迅速發展。然而，由於人工智慧系統的高能耗、資料中心的碳足跡和電子垃圾管理問題，永續性問題也引發了人們的擔憂。為了減少對環境的影響，電信公司正在轉向使用再生能源的資料中心。例如，Google和 AT&T 正在建造由風能和太陽能驅動的碳中和 AI資料中心。透過投資再生能源、智慧人工智慧解決方案和循環經濟項目，電信企業可以將技術成長與環境責任結合。

全球主要參與者

市場的主要全球參與者包括 AT&T、思科系統公司、Google有限責任公司、IBM 公司、印孚瑟斯有限公司、英特爾公司、微軟、Nuance Communications 公司、Salesforce 公司和中興通訊股份有限公司。

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專注於新興市場：DataM 的與眾不同之處在於它提供專門針對新興市場的深入、專業見解，而不是提供一般的地理概覽。這種方法使我們的客戶獲得了細緻的理解和可操作的資訊，這對於在高成長地區導航和成功至關重要。

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2024 年目標受眾

製造商/買家

產業投資者/投資銀行家

研究專業人員

新興公司

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

Industry Investors/Investment Bankers

Research Professionals

Emerging Companies

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