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全球人工智慧电信市场研究报告 - 2023 年至 2030 年产业分析、规模、份额、成长、趋势和预测

Global AI In Telecommunication Market Research Report - Industry Analysis, Size, Share, Growth, Trends and Forecast 2023 to 2030

出版日期: 2023年11月01日 | 出版商:

Value Market Research | 英文 125 Pages | 商品交期: 最快1-2个工作天内

价格

简介目录图表

全球电信市场对人工智慧的需求预计将从 2022 年的 27.3 亿美元增至 2030 年的近 215.7 亿美元，2023-2030 年研究期间CAGR为 29.48%。

电信领域的AI（人工智慧）是指人工智慧技术和技术在电信领域的应用，以增强和优化各种流程、服务和功能。人工智慧在电信中的整合可以对提高网路效率、客户体验和整体营运效率产生重大影响。以下是人工智慧在电信业普遍应用的一些关键领域：

市场动态：

电信市场的人工智慧受到几个关键因素的推动。在 5G 等技术的推动下，电信网路的复杂性日益增加，需要人工智慧来进行有效的管理和资源分配。智慧型手机和物联网设备资料流量的激增凸显了人工智慧在优化网路容量和确保无缝连接方面的重要性。电信业者正在利用人工智慧，透过虚拟助理和个人化服务来增强客户体验，从而提高满意度。透过人工智慧驱动的营运流程自动化，减少人工干预，实现成本优化和效率。人工智慧透过即时识别和预防网路威胁和诈欺活动，在确保网路安全方面发挥着至关重要的作用。对智慧自动化的需求，加上机器学习和分析的进步，正在推动人工智慧在电信业各个方面的采用。竞争格局和创新需求，再加上监管合规要求，进一步推动了人工智慧在电信领域的发展，使其成为应对新兴挑战和优化产业绩效不可或缺的组成部分。

研究报告涵盖波特五力模型、市场吸引力分析和价值链分析。这些工具有助于清晰地了解行业结构并评估全球范围内的竞争吸引力。此外，这些工具也对全球电信人工智慧市场的各个细分市场进行了包容性评估。电信业人工智慧的成长和趋势为本研究提供了整体方法。

区域分析：

本节涵盖区域前景，重点介绍北美、欧洲、亚太地区、拉丁美洲以及中东和非洲的人工智慧电信市场当前和未来的需求。此外，该报告重点关注所有主要地区各个应用领域的需求、估计和预测。

该研究报告还涵盖了市场主要参与者的全面概况以及对全球竞争格局的深入了解。电信人工智慧市场的主要参与者包括 IBM 公司、微软、英特尔公司、Google有限责任公司、AT&T 智慧财产权、思科系统公司、Nuance Communications, Inc.、Evolv Technologies Holdings Inc.、H2O.ai.、Infosys Limited 、 Salesforce, Inc.、NVIDIA 公司。本节包含竞争格局的整体视图，包括各种策略发展，例如关键併购、未来产能、合作伙伴关係、财务概况、合作、新产品开发、新产品发布和其他发展。

如果您有任何客製化要求，请写信给我们。我们的研究团队可以根据您的需求提供客製化报告。

区域展望
介绍
北美销售分析
- 概览、历史与预测资料销售分析
- 北美按细分市场销售分析
- 北美按国家销售分析
- 美国销售分析
- 加拿大销售分析
- 墨西哥销售分析
欧洲销售分析
- 概览、历史与预测资料销售分析
- 欧洲按细分市场销售分析
- 欧洲按国家销售分析
- 英国销售分析
- 法国销售分析
- 德国销售分析
- 义大利销售分析
- 俄罗斯销售分析
- 欧洲其他地区销售分析
亚太地区销售分析
- 概览、历史与预测资料销售分析
- 亚太地区按细分市场销售分析
- 亚太地区国家/地区销售分析
- 中国销售分析
- 印度销售分析
- 日本销售分析
- 韩国销售分析
- 澳洲销售分析
- 东南亚销售分析
- 亚太地区其他地区销售分析
拉丁美洲销售分析
- 概览、历史与预测资料销售分析
- 拉丁美洲按细分市场销售分析
- 拉丁美洲按国家销售分析
- 巴西销售分析
- 阿根廷销售分析
- 秘鲁销售分析
- 智利销售分析
- 拉丁美洲其他地区销售分析
中东和非洲销售分析
- 概览、历史与预测资料销售分析
- 中东和非洲按细分市场销售分析
- 中东和非洲国家销售分析
- 沙乌地阿拉伯销售分析
- 阿联酋销售分析
- 以色列销售分析
- 南非销售分析
- 中东其他地区和非洲销售分析

第 7 章：电信公司人工智慧的竞争格局

人工智慧在电信市场竞争的应用
伙伴关係/协作/协议
併购
新产品发布
其他发展

第 8 章：公司简介

公司股份分析
市场集中度
IBM Corporation

公司简介
公司收入
产品
最近的发展

Microsoft

公司简介
公司收入
产品
最近的发展

Intel Corporation

公司简介
公司收入
产品
最近的发展

Google LLC

公司简介
公司收入
产品
最近的发展

AT&T Intellectual Property

公司简介
公司收入
产品
最近的发展

Cisco Systems Inc.

公司简介
公司收入
产品
最近的发展

Nuance Communications Inc.

公司简介
公司收入
产品
最近的发展

Evolv Technologies Holdings Inc.

公司简介
公司收入
产品
最近的发展

H2O.ai.

公司简介
公司收入
产品
最近的发展

Infosys Limited

公司简介
公司收入
产品
最近的发展

Salesforce Inc.

公司简介
公司收入
产品
最近的发展

NVIDIA Corporations

公司简介
公司收入
产品
最近的发展

注意 - 在公司概况中，财务详细资讯和近期发展视情况而定，或者如果是私人公司，则可能不包括在内

简介目录图表

Product Code: VMR112112785

The global demand for AI In Telecommunication Market is presumed to reach the market size of nearly USD 21.57 BN by 2030 from USD 2.73 BN in 2022 with a CAGR of 29.48% under the study period 2023 - 2030.

AI (Artificial Intelligence) in telecommunications refers to the application of AI technologies and techniques in the field of telecommunications to enhance and optimize various processes, services, and functionalities. The integration of AI in telecommunications can have a significant impact on improving network efficiency, customer experience, and overall operational effectiveness. Here are some key areas where AI is commonly applied in the telecommunication industry:

MARKET DYNAMICS:

The AI in the telecommunication market is propelled by several key factors. The increasing complexity of telecommunications networks, driven by technologies like 5G, necessitates AI for efficient management and resource allocation. The surge in data traffic from smartphones and IoT devices underscores the importance of AI in optimizing network capacity and ensuring seamless connectivity. Telecom operators are leveraging AI to enhance customer experience through virtual assistants and personalized services, contributing to improved satisfaction. Cost optimization and efficiency are achieved through AI-driven automation of operational processes, reducing manual intervention. AI plays a crucial role in ensuring network security by identifying and preventing cyber threats and fraudulent activities in real time. The demand for intelligent automation, coupled with advancements in machine learning and analytics, is driving the adoption of AI in various aspects of the telecom industry. The competitive landscape and the need for innovation, combined with regulatory compliance requirements, further fuel the growth of AI in telecommunication, making it an integral component for addressing emerging challenges and optimizing industry performance.

The research report covers Porter's Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry's structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of ai in telecommunication. The growth and trends of ai in telecommunication industry provide a holistic approach to this study.

MARKET SEGMENTATION:

This section of the ai in telecommunication market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.

By Application

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

REGIONAL ANALYSIS:

This section covers the regional outlook, which accentuates current and future demand for the AI In Telecommunication market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.

The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the AI In Telecommunication market include IBM Corporation, Microsoft, Intel Corporation, Google LLC, AT&T Intellectual Property, Cisco Systems, Inc., Nuance Communications, Inc., Evolv Technologies Holdings Inc., H2O.ai., Infosys Limited, Salesforce, Inc., NVIDIA Corporations. This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.

In case you have any custom requirements, do write to us. Our research team can offer a customized report as per your need.

1 . PREFACE

1.1. Report Description
- 1.1.1. Objective
- 1.1.2. Target Audience
- 1.1.3. Unique Selling Proposition (USP) & offerings
1.2. Research Scope
1.3. Research Methodology
- 1.3.1. Market Research Process
- 1.3.2. Market Research Methodology

2 . EXECUTIVE SUMMARY

2.1. Highlights of Market
2.2. Global Market Snapshot

3 . AI IN TELECOMMUNICATION - INDUSTRY ANALYSIS

3.1. Introduction - Market Dynamics
3.2. Market Drivers
3.3. Market Restraints
3.4. Opportunities
3.5. Industry Trends
3.6. Porter's Five Force Analysis
3.7. Market Attractiveness Analysis
- 3.7.1 Market Attractiveness Analysis By Application
- 3.7.2 Market Attractiveness Analysis By Region

4 . VALUE CHAIN ANALYSIS

4.1. Value Chain Analysis
4.2. Raw Material Analysis
- 4.2.1. List of Raw Materials
- 4.2.2. Raw Material Manufactures List
- 4.2.3. Price Trend of Key Raw Materials
4.3. List of Potential Buyers
4.4. Marketing Channel
- 4.4.1. Direct Marketing
- 4.4.2. Indirect Marketing
- 4.4.3. Marketing Channel Development Trend

5 . GLOBAL AI IN TELECOMMUNICATION MARKET ANALYSIS BY APPLICATION

5.1 Overview by Application
5.2 Historical and Forecast Data
5.3 Analysis by Application
5.4 Network Security Historic and Forecast Sales by Regions
5.5 Network Optimization Historic and Forecast Sales by Regions
5.6 Customer Analytics Historic and Forecast Sales by Regions
5.7 Virtual Assistance Historic and Forecast Sales by Regions
5.8 Self-Diagnostics Historic and Forecast Sales by Regions
5.9 Others Historic and Forecast Sales by Regions

6 . GLOBAL AI IN TELECOMMUNICATION MARKET ANALYSIS BY GEOGRAPHY

6.1. Regional Outlook
6.2. Introduction
6.3. North America Sales Analysis
- 6.3.1. Overview, Historic and Forecast Data Sales Analysis
- 6.3.2. North America By Segment Sales Analysis
- 6.3.3. North America By Country Sales Analysis
- 6.3.4. United State Sales Analysis
- 6.3.5. Canada Sales Analysis
- 6.3.6. Mexico Sales Analysis
6.4. Europe Sales Analysis
- 6.4.1. Overview, Historic and Forecast Data Sales Analysis
- 6.4.2. Europe by Segment Sales Analysis
- 6.4.3. Europe by Country Sales Analysis
- 6.4.4. United Kingdom Sales Analysis
- 6.4.5. France Sales Analysis
- 6.4.6. Germany Sales Analysis
- 6.4.7. Italy Sales Analysis
- 6.4.8. Russia Sales Analysis
- 6.4.9. Rest Of Europe Sales Analysis
6.5. Asia Pacific Sales Analysis
- 6.5.1. Overview, Historic and Forecast Data Sales Analysis
- 6.5.2. Asia Pacific by Segment Sales Analysis
- 6.5.3. Asia Pacific by Country Sales Analysis
- 6.5.4. China Sales Analysis
- 6.5.5. India Sales Analysis
- 6.5.6. Japan Sales Analysis
- 6.5.7. South Korea Sales Analysis
- 6.5.8. Australia Sales Analysis
- 6.5.9. South East Asia Sales Analysis
- 6.5.10. Rest Of Asia Pacific Sales Analysis
6.6. Latin America Sales Analysis
- 6.6.1. Overview, Historic and Forecast Data Sales Analysis
- 6.6.2. Latin America by Segment Sales Analysis
- 6.6.3. Latin America by Country Sales Analysis
- 6.6.4. Brazil Sales Analysis
- 6.6.5. Argentina Sales Analysis
- 6.6.6. Peru Sales Analysis
- 6.6.7. Chile Sales Analysis
- 6.6.8. Rest of Latin America Sales Analysis
6.7. Middle East & Africa Sales Analysis
- 6.7.1. Overview, Historic and Forecast Data Sales Analysis
- 6.7.2. Middle East & Africa by Segment Sales Analysis
- 6.7.3. Middle East & Africa by Country Sales Analysis
- 6.7.4. Saudi Arabia Sales Analysis
- 6.7.5. UAE Sales Analysis
- 6.7.6. Israel Sales Analysis
- 6.7.7. South Africa Sales Analysis
- 6.7.8. Rest Of Middle East And Africa Sales Analysis

7 . COMPETITIVE LANDSCAPE OF THE AI IN TELECOMMUNICATION COMPANIES

7.1. Ai In Telecommunication Market Competition
7.2. Partnership/Collaboration/Agreement
7.3. Merger And Acquisitions
7.4. New Product Launch
7.5. Other Developments

8 . COMPANY PROFILES OF AI IN TELECOMMUNICATION INDUSTRY

8.1. Company Share Analysis
8.2. Market Concentration Rate
8.3. IBM Corporation
- 8.3.1. Company Overview
- 8.3.2. Company Revenue
- 8.3.3. Products
- 8.3.4. Recent Developments
8.4. Microsoft
- 8.4.1. Company Overview
- 8.4.2. Company Revenue
- 8.4.3. Products
- 8.4.4. Recent Developments
8.5. Intel Corporation
- 8.5.1. Company Overview
- 8.5.2. Company Revenue
- 8.5.3. Products
- 8.5.4. Recent Developments
8.6. Google LLC
- 8.6.1. Company Overview
- 8.6.2. Company Revenue
- 8.6.3. Products
- 8.6.4. Recent Developments
8.7. AT&T Intellectual Property
- 8.7.1. Company Overview
- 8.7.2. Company Revenue
- 8.7.3. Products
- 8.7.4. Recent Developments
8.8. Cisco Systems Inc.
- 8.8.1. Company Overview
- 8.8.2. Company Revenue
- 8.8.3. Products
- 8.8.4. Recent Developments
8.9. Nuance Communications Inc.
- 8.9.1. Company Overview
- 8.9.2. Company Revenue
- 8.9.3. Products
- 8.9.4. Recent Developments
8.10. Evolv Technologies Holdings Inc.
- 8.10.1. Company Overview
- 8.10.2. Company Revenue
- 8.10.3. Products
- 8.10.4. Recent Developments
8.11. H2O.ai.
- 8.11.1. Company Overview
- 8.11.2. Company Revenue
- 8.11.3. Products
- 8.11.4. Recent Developments
8.12. Infosys Limited
- 8.12.1. Company Overview
- 8.12.2. Company Revenue
- 8.12.3. Products
- 8.12.4. Recent Developments
8.13. Salesforce Inc.
- 8.13.1. Company Overview
- 8.13.2. Company Revenue
- 8.13.3. Products
- 8.13.4. Recent Developments
8.14. NVIDIA Corporations
- 8.14.1. Company Overview
- 8.14.2. Company Revenue
- 8.14.3. Products
- 8.14.4. Recent Developments