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市场调查报告书

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1683341

全球电信市场人工智慧 - 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个工作天内

价格

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简介目录

2024 年全球电信市场人工智慧规模达到 26.3 亿美元，预计到 2032 年将达到 356.9 亿美元，2025-2032 年预测期内复合年增长率为 38.54%。

由于电信企业可以使用人工智慧快速识别问题，因此电信业对人工智慧的需求正在增加。电信企业正在拥抱物联网，加速人工智慧在电信领域的部署。因此，人工智慧解决方案在各种电信应用中的使用日益增多，推动了人工智慧在电信业的成长。

例如，2023 年 6 月，Amdocs 推出了电信生成 AI 平台 Amdocs amAIz。此尖端解决方案采用营运商级架构和开源技术，结合大量语言 AI 模型。此外，2022年10月，诺基亚推出了AI成熟度评估工具。该工具旨在协助通讯服务提供者制定和实施有效的人工智慧策略。因此，这些变数将为人工智慧在通讯业务中的成长带来巨大的获利潜力。

市场动态

驱动因素－更重视改善客户体验

电信是成长最快的行业之一，其营运的许多部分都采用了人工智慧（AI），包括客户体验和网路稳定性。电信企业普遍将人工智慧用于客户服务应用。

聊天机器人和虚拟助理处理大量的安装、维护和故障排除查询。虚拟助理还可以扩展和自动化索赔回应，从而提高客户体验并降低业务成本。例如，沃达丰有限公司在实施 TOBi 聊天机器人处理客户查询后，客户体验提升了 68%。

限制：互通性问题

互通性困难对电信领域对人工智慧的市场需求产生了重大影响。人工智慧系统与现有电信基础设施的整合经常会出现确保无缝相容性的问题。电信网路通常由多种技术、协定和遗留系统组成，因此很难有效整合人工智慧。

市场区隔分析

全球电信人工智慧市场根据产品、部署类型、技术、应用和地区进行细分。

预计全球市场的解决方案将推动市场发展。

在电信人工智慧市场中，解决方案类别包括一系列旨在解决电信领域特定困难的人工智慧解决方案。该领域的趋势表明，人们越来越重视提高网路效率、消费者体验和网路安全的解决方案。例如，在2021年10月的洛杉矶世界行动通讯大会上，IBM 与合作伙伴展开合作并扩大合作关係，以提升公司在混合云端、AI、网路自动化和安全方面的能力。随着 5G 和边缘运算改变企业和消费者的联繫方式，这些突破凸显了 IBM 在帮助电信产业发展方面所扮演的角色。

市场地理占有率

亚太地区的技术进步日新月异。

预计在预测期内，亚太地区将以最快的复合年增长率扩张。这种扩张得益于中国和印度等新兴经济体的重大技术进步。例如，全球电信设备和消费性电子公司华为技术有限公司与互联网接入和行动电信服务供应商中国电信股份有限公司进行合作。此次合作将利用网路人工智慧引擎（NAIE）研究无线小区容量预测和无线网路小区异常检测。此外，2023 年 2 月，Bharti Airtel 与 NVIDIA 合作建置了一款 AI 解决方案，专注于改善其联络中心处理的所有来电的客户体验。

永续性和绿色技术分析

在自动化、预测分析和提高网路效率的需求的推动下，全球电信业的人工智慧正在迅速发展。然而，由于人工智慧系统的高能耗、资料中心的碳足迹和电子垃圾管理问题，永续性问题也引发了人们的担忧。为了减少对环境的影响，电信公司正在转向使用再生能源的资料中心。例如，Google和 AT&T 正在建造由风能和太阳能驱动的碳中和 AI资料中心。透过投资再生能源、智慧人工智慧解决方案和循环经济项目，电信企业可以将技术成长与环境责任结合。

全球主要参与者

市场的主要全球参与者包括 AT&T、思科系统公司、Google有限责任公司、IBM 公司、印孚瑟斯有限公司、英特尔公司、微软、Nuance Communications 公司、Salesforce 公司和中兴通讯股份有限公司。

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2024 年目标受众

製造商/买家

产业投资者/投资银行家

研究专业人员

新兴公司

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