首頁 > 市場調查報告書 > 通訊

人工智能

市場調查報告書

商品編碼

1392306

全球人工智慧電信市場研究報告 - 2023 年至 2030 年產業分析、規模、佔有率、成長、趨勢和預測

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個工作天內

價格

簡介目錄圖表

全球電信市場對人工智慧的需求預計將從 2022 年的 27.3 億美元增至 2030 年的近 215.7 億美元，2023-2030 年研究期間CAGR為 29.48%。

電信領域的AI（人工智慧）是指人工智慧技術和技術在電信領域的應用，以增強和最佳化各種流程、服務和功能。人工智慧在電信中的整合可以對提高網路效率、客戶體驗和整體營運效率產生重大影響。以下是人工智慧在電信業普遍應用的一些關鍵領域：

市場動態：

電信市場的人工智慧受到幾個關鍵因素的推動。在 5G 等技術的推動下，電信網路的複雜性日益增加，需要人工智慧來進行有效的管理和資源分配。智慧型手機和物聯網設備資料流量的激增凸顯了人工智慧在最佳化網路容量和確保無縫連接方面的重要性。電信業者正在利用人工智慧，透過虛擬助理和個人化服務來增強客戶體驗，從而提高滿意度。透過人工智慧驅動的營運流程自動化，減少人工干預，實現成本最佳化和效率。人工智慧透過即時識別和預防網路威脅和詐欺活動，在確保網路安全方面發揮著至關重要的作用。對智慧自動化的需求，加上機器學習和分析的進步，正在推動人工智慧在電信業各個方面的採用。競爭格局和創新需求，再加上監管合規要求，進一步推動了人工智慧在電信領域的發展，使其成為應對新興挑戰和最佳化產業績效不可或缺的組成部分。

研究報告涵蓋波特五力模型、市場吸引力分析和價值鏈分析。這些工具有助於清晰地了解行業結構並評估全球範圍內的競爭吸引力。此外，這些工具也對全球電信人工智慧市場的各個細分市場進行了包容性評估。電信業人工智慧的成長和趨勢為本研究提供了整體方法。

區域分析：

本節涵蓋區域前景，重點介紹北美、歐洲、亞太地區、拉丁美洲以及中東和非洲的人工智慧電信市場當前和未來的需求。此外，該報告重點關注所有主要地區各個應用領域的需求、估計和預測。

該研究報告還涵蓋了市場主要參與者的全面概況以及對全球競爭格局的深入了解。電信人工智慧市場的主要參與者包括 IBM 公司、微軟、英特爾公司、Google有限責任公司、AT&T 智慧財產權、思科系統公司、Nuance Communications, Inc.、Evolv Technologies Holdings Inc.、H2O.ai.、Infosys Limited 、 Salesforce, Inc.、NVIDIA 公司。本節包含競爭格局的整體視圖，包括各種策略發展，例如關鍵併購、未來產能、合作夥伴關係、財務概況、合作、新產品開發、新產品發布和其他發展。

如果您有任何客製化要求，請寫信給我們。我們的研究團隊可以根據您的需求提供客製化報告。

區域展望
介紹
北美銷售分析
- 概覽、歷史與預測資料銷售分析
- 北美按細分市場銷售分析
- 北美按國家銷售分析
- 美國銷售分析
- 加拿大銷售分析
- 墨西哥銷售分析
歐洲銷售分析
- 概覽、歷史與預測資料銷售分析
- 歐洲按細分市場銷售分析
- 歐洲按國家銷售分析
- 英國銷售分析
- 法國銷售分析
- 德國銷售分析
- 義大利銷售分析
- 俄羅斯銷售分析
- 歐洲其他地區銷售分析
亞太地區銷售分析
- 概覽、歷史與預測資料銷售分析
- 亞太地區按細分市場銷售分析
- 亞太地區國家/地區銷售分析
- 中國銷售分析
- 印度銷售分析
- 日本銷售分析
- 韓國銷售分析
- 澳洲銷售分析
- 東南亞銷售分析
- 亞太地區其他地區銷售分析
拉丁美洲銷售分析
- 概覽、歷史與預測資料銷售分析
- 拉丁美洲按細分市場銷售分析
- 拉丁美洲按國家銷售分析
- 巴西銷售分析
- 阿根廷銷售分析
- 秘魯銷售分析
- 智利銷售分析
- 拉丁美洲其他地區銷售分析
中東和非洲銷售分析
- 概覽、歷史與預測資料銷售分析
- 中東和非洲按細分市場銷售分析
- 中東和非洲國家銷售分析
- 沙烏地阿拉伯銷售分析
- 阿拉伯聯合大公國銷售分析
- 以色列銷售分析
- 南非銷售分析
- 中東其他地區和非洲銷售分析

第 7 章：電信公司人工智慧的競爭格局

人工智慧在電信市場競爭的應用
夥伴關係/協作/協議
併購
新產品發布
其他發展

第 8 章：公司簡介

公司股份分析
市場集中度
IBM Corporation

公司簡介
公司收入
產品
最近的發展

Microsoft

公司簡介
公司收入
產品
最近的發展

Intel Corporation

公司簡介
公司收入
產品
最近的發展

Google LLC

公司簡介
公司收入
產品
最近的發展

AT&T Intellectual Property

公司簡介
公司收入
產品
最近的發展

Cisco Systems Inc.

公司簡介
公司收入
產品
最近的發展

Nuance Communications Inc.

公司簡介
公司收入
產品
最近的發展

Evolv Technologies Holdings Inc.

公司簡介
公司收入
產品
最近的發展

H2O.ai.

公司簡介
公司收入
產品
最近的發展

Infosys Limited

公司簡介
公司收入
產品
最近的發展

Salesforce Inc.

公司簡介
公司收入
產品
最近的發展

NVIDIA Corporations

公司簡介
公司收入
產品
最近的發展

注意 - 在公司概況中，財務詳細資訊和近期發展視情況而定，或者如果是私人公司，則可能不包括在內

簡介目錄圖表

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