세계의 통신용 인공지능 시장 조사 보고서 : 산업 분석, 규모, 점유율, 성장, 동향, 예측(2025-2033년)

Global Artificial Intelligence in Telecommunication Market size is anticipated to grow from USD 1.75 Billion in 2024 to USD 9.94 Billion by 2033, showcasing a robust Compound Annual Growth Rate (CAGR) of 21.32% during the forecast period of 2026 to 2033.

The artificial intelligence in telecommunication market is poised for remarkable growth as telecom operators seek to enhance operational efficiency and improve customer experiences. With the increasing complexity of network management and the demand for personalized services, AI technologies are becoming indispensable tools for telecom companies. By leveraging machine learning algorithms and data analytics, operators can optimize network performance, predict maintenance needs, and automate routine tasks. This not only reduces operational costs but also enables telecom providers to deliver seamless connectivity and superior service quality to their customers.

Furthermore, the integration of AI in telecommunications is revolutionizing customer service through the deployment of chatbots and virtual assistants. These AI-driven solutions are capable of handling a wide range of customer inquiries, providing instant support and freeing up human agents to focus on more complex issues. As customer expectations continue to rise, the ability to offer 24/7 support and personalized interactions will be a key differentiator for telecom companies. The ongoing advancements in natural language processing and sentiment analysis are further enhancing the effectiveness of AI in understanding and responding to customer needs.

Additionally, the emergence of 5G technology is creating new opportunities for AI applications within the telecommunications sector. The high-speed, low-latency capabilities of 5G networks enable real-time data processing and analytics, allowing telecom operators to implement AI solutions that enhance network management and service delivery. As the demand for IoT connectivity and smart devices grows, the role of AI in optimizing network resources and ensuring reliable service will become increasingly critical. The artificial intelligence in telecommunication market is thus positioned for significant expansion, driven by the need for innovation and efficiency in an ever-evolving digital landscape.

Our reports are meticulously crafted to provide clients with comprehensive and actionable insights into various industries and markets. Each report encompasses several critical components to ensure a thorough understanding of the market landscape:

Market Overview: A detailed introduction to the market, including definitions, classifications, and an overview of the industry's current state.

Market Dynamics: In-depth analysis of key drivers, restraints, opportunities, and challenges influencing market growth. This section examines factors such as technological advancements, regulatory changes, and emerging trends.

Segmentation Analysis: Breakdown of the market into distinct segments based on criteria like product type, application, end-user, and geography. This analysis highlights the performance and potential of each segment.

Competitive Landscape: Comprehensive assessment of major market players, including their market share, product portfolio, strategic initiatives, and financial performance. This section provides insights into the competitive dynamics and key strategies adopted by leading companies.

Market Forecast: Projections of market size and growth trends over a specified period, based on historical data and current market conditions. This includes quantitative analyses and graphical representations to illustrate future market trajectories.

Regional Analysis: Evaluation of market performance across different geographical regions, identifying key markets and regional trends. This helps in understanding regional market dynamics and opportunities.

Emerging Trends and Opportunities: Identification of current and emerging market trends, technological innovations, and potential areas for investment. This section offers insights into future market developments and growth prospects.

SEGMENTATION COVERED IN THE REPORT

By Component

• Solutions
• Services

By Technology

• Machine Learning
• Natural Language Processing
• Computer Vision
• Others

By Application

• Network Optimization
• Customer Analytics
• Virtual Assistants
• Fraud Detection
• Others

By Deployment Mode

• On-Premises
• Cloud

By Enterprise Size

• Small and Medium Enterprises
• Large Enterprises
• COMPANIES PROFILED
• IBM Corporation
• Microsoft Corporation
• Google LLC
• Amazon Web Services Inc.
• Nokia Corporation
• Huawei Technologies Co. Ltd.
• Cisco Systems Inc.
• Ericsson AB
• Intel Corporation
• Qualcomm Technologies Inc.
• AT&T Inc.
• Verizon Communications Inc.
• Samsung Electronics Co. Ltd.
• Oracle Corporation
• Accenture plc.
• The above list can be customized.

TABLE OF CONTENTS

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. ARTIFICIAL INTELLIGENCE 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 Component
  • 3.7.2 Market Attractiveness Analysis By Technology
  • 3.7.3 Market Attractiveness Analysis By Application
  • 3.7.4 Market Attractiveness Analysis By Deployment Mode
  • 3.7.5 Market Attractiveness Analysis By Enterprise Size
  • 3.7.6 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 ARTIFICIAL INTELLIGENCE IN TELECOMMUNICATION MARKET ANALYSIS BY COMPONENT

• 5.1. Overview By Component
• 5.2. Historical and Forecast Data Analysis By Component
• 5.3. Solutions Historic and Forecast Sales By Regions
• 5.4. Services Historic and Forecast Sales By Regions

6. GLOBAL ARTIFICIAL INTELLIGENCE IN TELECOMMUNICATION MARKET ANALYSIS BY TECHNOLOGY

• 6.1. Overview By Technology
• 6.2. Historical and Forecast Data Analysis By Technology
• 6.3. Machine Learning Historic and Forecast Sales By Regions
• 6.4. Natural Language Processing Historic and Forecast Sales By Regions
• 6.5. Computer Vision Historic and Forecast Sales By Regions
• 6.6. Others Historic and Forecast Sales By Regions

7. GLOBAL ARTIFICIAL INTELLIGENCE IN TELECOMMUNICATION MARKET ANALYSIS BY APPLICATION

• 7.1. Overview By Application
• 7.2. Historical and Forecast Data Analysis By Application
• 7.3. Network Optimization Historic and Forecast Sales By Regions
• 7.4. Customer Analytics Historic and Forecast Sales By Regions
• 7.5. Virtual Assistants Historic and Forecast Sales By Regions
• 7.6. Fraud Detection Historic and Forecast Sales By Regions
• 7.7. Others Historic and Forecast Sales By Regions

8. GLOBAL ARTIFICIAL INTELLIGENCE IN TELECOMMUNICATION MARKET ANALYSIS BY DEPLOYMENT MODE

• 8.1. Overview By Deployment Mode
• 8.2. Historical and Forecast Data Analysis By Deployment Mode
• 8.3. On-Premises Historic and Forecast Sales By Regions
• 8.4. Cloud Historic and Forecast Sales By Regions

9. GLOBAL ARTIFICIAL INTELLIGENCE IN TELECOMMUNICATION MARKET ANALYSIS BY ENTERPRISE SIZE

• 9.1. Overview By Enterprise Size
• 9.2. Historical and Forecast Data Analysis By Enterprise Size
• 9.3. Small and Medium Enterprises Historic and Forecast Sales By Regions
• 9.4. Large Enterprises Historic and Forecast Sales By Regions

10. GLOBAL ARTIFICIAL INTELLIGENCE IN TELECOMMUNICATION MARKET ANALYSIS BY GEOGRAPHY

• 10.1. Regional Outlook
• 10.2. Introduction
• 10.3. North America Sales Analysis
  • 10.3.1 Overview, Historic and Forecast Data Sales Analysis
  • 10.3.2 North America By Segment Sales Analysis
  • 10.3.3 North America By Country Sales Analysis
  • 10.3.4 United States Sales Analysis
  • 10.3.5 Canada Sales Analysis
  • 10.3.6 Mexico Sales Analysis
• 10.4. Europe Sales Analysis
  • 10.4.1 Overview, Historic and Forecast Data Sales Analysis
  • 10.4.2 Europe By Segment Sales Analysis
  • 10.4.3 Europe By Country Sales Analysis
  • 10.4.4 United Kingdom Sales Analysis
  • 10.4.5 France Sales Analysis
  • 10.4.6 Germany Sales Analysis
  • 10.4.7 Italy Sales Analysis
  • 10.4.8 Russia Sales Analysis
  • 10.4.9 Rest Of Europe Sales Analysis
• 10.5. Asia Pacific Sales Analysis
  • 10.5.1 Overview, Historic and Forecast Data Sales Analysis
  • 10.5.2 Asia Pacific By Segment Sales Analysis
  • 10.5.3 Asia Pacific By Country Sales Analysis
  • 10.5.4 China Sales Analysis
  • 10.5.5 India Sales Analysis
  • 10.5.6 Japan Sales Analysis
  • 10.5.7 South Korea Sales Analysis
  • 10.5.8 Australia Sales Analysis
  • 10.5.9 South East Asia Sales Analysis
  • 10.5.10 Rest Of Asia Pacific Sales Analysis
• 10.6. Latin America Sales Analysis
  • 10.6.1 Overview, Historic and Forecast Data Sales Analysis
  • 10.6.2 Latin America By Segment Sales Analysis
  • 10.6.3 Latin America By Country Sales Analysis
  • 10.6.4 Brazil Sales Analysis
  • 10.6.5 Argentina Sales Analysis
  • 10.6.6 Peru Sales Analysis
  • 10.6.7 Chile Sales Analysis
  • 10.6.8 Rest of Latin America Sales Analysis
• 10.7. Middle East & Africa Sales Analysis
  • 10.7.1 Overview, Historic and Forecast Data Sales Analysis
  • 10.7.2 Middle East & Africa By Segment Sales Analysis
  • 10.7.3 Middle East & Africa By Country Sales Analysis
  • 10.7.4 Saudi Arabia Sales Analysis
  • 10.7.5 UAE Sales Analysis
  • 10.7.6 Israel Sales Analysis
  • 10.7.7 South Africa Sales Analysis
  • 10.7.8 Rest Of Middle East And Africa Sales Analysis

11. COMPETITIVE LANDSCAPE OF THE ARTIFICIAL INTELLIGENCE IN TELECOMMUNICATION COMPANIES

• 11.1. Artificial Intelligence in Telecommunication Market Competition
• 11.2. Partnership/Collaboration/Agreement
• 11.3. Merger And Acquisitions
• 11.4. New Product Launch
• 11.5. Other Developments

12. COMPANY PROFILES OF ARTIFICIAL INTELLIGENCE IN TELECOMMUNICATION INDUSTRY

• 12.1. Top Companies Market Share Analysis
• 12.2. Market Concentration Rate
• 12.3. IBM Corporation
  • 12.3.1 Company Overview
  • 12.3.2 Company Revenue
  • 12.3.3 Products
  • 12.3.4 Recent Developments
• 12.4. Microsoft Corporation
  • 12.4.1 Company Overview
  • 12.4.2 Company Revenue
  • 12.4.3 Products
  • 12.4.4 Recent Developments
• 12.5. Google LLC
  • 12.5.1 Company Overview
  • 12.5.2 Company Revenue
  • 12.5.3 Products
  • 12.5.4 Recent Developments
• 12.6. Amazon Web Services Inc.
  • 12.6.1 Company Overview
  • 12.6.2 Company Revenue
  • 12.6.3 Products
  • 12.6.4 Recent Developments
• 12.7. Nokia Corporation
  • 12.7.1 Company Overview
  • 12.7.2 Company Revenue
  • 12.7.3 Products
  • 12.7.4 Recent Developments
• 12.8. Huawei Technologies Co. Ltd.
  • 12.8.1 Company Overview
  • 12.8.2 Company Revenue
  • 12.8.3 Products
  • 12.8.4 Recent Developments
• 12.9. Cisco Systems Inc.
  • 12.9.1 Company Overview
  • 12.9.2 Company Revenue
  • 12.9.3 Products
  • 12.9.4 Recent Developments
• 12.10. Ericsson AB
  • 12.10.1 Company Overview
  • 12.10.2 Company Revenue
  • 12.10.3 Products
  • 12.10.4 Recent Developments
• 12.11. Intel Corporation
  • 12.11.1 Company Overview
  • 12.11.2 Company Revenue
  • 12.11.3 Products
  • 12.11.4 Recent Developments
• 12.12. Qualcomm Technologies Inc.
  • 12.12.1 Company Overview
  • 12.12.2 Company Revenue
  • 12.12.3 Products
  • 12.12.4 Recent Developments
• 12.13. AT&T Inc.
  • 12.13.1 Company Overview
  • 12.13.2 Company Revenue
  • 12.13.3 Products
  • 12.13.4 Recent Developments
• 12.14. Verizon Communications Inc.
  • 12.14.1 Company Overview
  • 12.14.2 Company Revenue
  • 12.14.3 Products
  • 12.14.4 Recent Developments
• 12.15. Samsung Electronics Co. Ltd.
  • 12.15.1 Company Overview
  • 12.15.2 Company Revenue
  • 12.15.3 Products
  • 12.15.4 Recent Developments
• 12.16. Oracle Corporation
  • 12.16.1 Company Overview
  • 12.16.2 Company Revenue
  • 12.16.3 Products
  • 12.16.4 Recent Developments
• 12.17. Accenture Plc
  • 12.17.1 Company Overview
  • 12.17.2 Company Revenue
  • 12.17.3 Products
  • 12.17.4 Recent Developments

Note - In company profiling, financial details and recent developments are subject to availability or might not be covered in the case of private companies