통신용 AI 시장 : 시장 규모, 점유율 및 성장률, 산업 분석 - 유형별, 용도별, 지역별 인사이트 및 예측(2026-2034년)

Growth Factors of AI in telecommunication Market

The global AI in telecommunication market was valued at USD 4.73 billion in 2025 and is projected to grow from USD 6.73 billion in 2026 to reach USD 88.11 billion by 2034, reflecting a CAGR of 37.9% during the forecast period. North America led the market with a 26.40% share in 2025, driven by advanced network infrastructure, widespread adoption of automation, and investments in AI technologies.

AI in telecommunications involves the strategic integration of artificial intelligence and machine learning to enhance operational efficiency, optimize network performance, automate routine tasks, and improve customer experiences. AI predictive capabilities help telecom providers anticipate network issues, minimize downtime, reduce operational costs, and gain competitive advantage. The sector's rapid growth is fueled by the increasing demand for advanced network management, personalized services, and cost-efficient operations. The COVID-19 pandemic accelerated AI adoption, as remote work and digital communications surged, prompting telecom operators to prioritize AI-driven solutions to maintain service quality and reduce operational expenditures. Industry investments in AI-focused companies rose significantly, with global AI funding increasing by 40% from 2019 to 2020, highlighting long-term adoption trends.

Impact of Generative AI

Telecom companies are exploring generative AI to analyze unstructured data, break down information silos, and derive actionable insights that enhance network performance and customer service. Operationalizing generative AI requires modernized data systems, scalable infrastructure, and robust security measures. Telecom operators are investing in talent development to leverage generative AI effectively, ensuring that frontline workers can utilize AI solutions while minimizing risks and potential vulnerabilities. Early experiments and pilot programs in generative AI are enabling companies to identify impactful use cases and maintain competitiveness in the evolving telecom landscape.

Market Trends

A key trend in the market is streamlined AI application development. Telecom companies are increasingly adopting pre-built AI models and frameworks to accelerate the development of in-house AI solutions. This approach enables rapid deployment of AI for network optimization, predictive maintenance, and automated customer services, reducing costs and development time while maintaining control over AI strategies. For instance, in March 2023, SK Telecom launched its in-house AI chatbot "A.", integrating e-commerce and music streaming services, positioning it as a super app similar to ChatGPT.

Market Growth Factors

The growing need for efficient data management and automation is driving AI adoption. Telecom companies generate massive volumes of data daily, and AI algorithms help classify, monitor, and analyze this information in real time. These capabilities improve network security, service personalization, and operational efficiency, enabling better decision-making and reducing human intervention. Regulatory support, such as the Telecom Regulatory Authority of India (TRAI) proposing AI-driven quality of service standards in August 2023, is further encouraging AI adoption.

Restraining Factors

Challenges include data privacy concerns and a shortage of skilled AI professionals. Telecom companies must manage sensitive customer data while complying with regulations like GDPR and CCPA. Additionally, the high demand for AI engineers and data scientists exceeds supply, potentially slowing deployment and limiting market growth.

Market Segmentation Analysis

By Deployment:

• On-premises solutions are projected to dominate with 53.46% market share in 2026 due to data security and low-latency requirements.
• Cloud-based AI is expected to grow rapidly due to affordability, scalability, and easier adoption, enabling flexible and efficient AI deployment.

By Technology:

• Big Data leads the market as it provides insights into customer behavior, network performance, and operational efficiency.
• Machine Learning exhibits the highest growth rate due to adaptability across applications, leveraging increasing data volumes and computing power.

By Application:

• Customer Service and Marketing VDAs dominate with 47.52% share in 2026, enhancing personalized experiences, automating tasks, and improving customer satisfaction.
• Network/IT Operations Management is projected to grow fastest, driven by complex networks, 5G integration, and real-time analytics requirements.

Regional Insights

• North America: Valued at USD 1.24 billion in 2025 and USD 1.72 billion in 2026, supported by robust telecom infrastructure and AI adoption. The U.S. market is projected at USD 0.93 billion in 2026.
• Asia Pacific: Expected to grow fastest due to emerging economies (China, India, Japan) adopting AI for telecom efficiency. Japan is USD 0.36 billion, China USD 0.46 billion, and India USD 0.33 billion in 2026.
• Europe: Investments in AI research and telecom optimization drive growth, with the UK at USD 0.31 billion and Germany at USD 0.33 billion in 2026.
• Middle East & Africa and South America: Growth is fueled by mobile subscriber expansion and AI-driven service optimization in countries like UAE, South Africa, Brazil, and Argentina.

Key Industry Players and Developments

Leading companies are focusing on AI innovation and startups, including Infosys, IBM, Cisco, Ericsson, Nokia, Intel, Alphabet, Nuance, Nvidia, and AT&T. Notable developments:

• Feb 2024: Deutsche Telekom launched an app-less AI-powered smartphone.
• Feb 2024: Rakuten & OpenAI partnered for AI network optimization.
• Feb 2024: Jio Platforms introduced 'Jio Brain' for AI-enhanced enterprise networks.
• Jan 2024: Vodafone & Microsoft partnership for generative AI and cloud services.
• Dec 2023: Tollring launched Record AI for cloud-based call recording and analysis.

Conclusion

The AI in telecommunication market is set for exponential growth, projected to expand from USD 6.73 billion in 2026 to USD 88.11 billion by 2034, driven by AI adoption, automation, generative AI, and big data analytics. While challenges such as data privacy and AI talent shortages remain, the market's transformative potential in network optimization, customer engagement, and operational efficiency ensures a robust future, particularly in Asia Pacific and North America. Telecom providers investing in AI today are poised to gain a significant competitive edge over the next decade.

Segmentation By Deployment

• Cloud
• On-Premises

By Technology

• Machine Learning
• Natural Language Processing
• Big Data
• Others (Deep Learning)

By Application

• Network/IT Operations Management
• Customer Service and Marketing VDAS
• CRM Management
• Radio Access Network
• Customer Experience Management
• Predictive Maintenance
• Others (Fraud Mitigation)

By Region

• North America (By Deployment, Technology, Application, and Country)
  • U.S.
  • Canada
  • Mexico
• South America (By Deployment, Technology, Application, and Country)
  • Brazil
  • Argentina
  • Rest of South America
• Europe (By Deployment, By Technology, By Application, and Country)
  • U.K.
  • Germany
  • France
  • Italy
  • Spain
  • Russia
  • Benelux
  • Nordics
  • Rest of Europe
• Middle East & Africa (By Deployment, Technology, Application, and Country)
  • Turkey
  • Israel
  • GCC
  • North Africa
  • South Africa
  • Rest of the Middle East & Africa
• Asia Pacific (By Deployment, Technology, Application, and Country)
  • China
  • India
  • Japan
  • South Korea
  • ASEAN
  • Oceania
  • Rest of Asia Pacific

Table of Content

1. Introduction

• 1.1. Definition, By Segment
• 1.2. Research Methodology/Approach
• 1.3. Data Sources

2. Executive Summary

3. Market Dynamics

• 3.1. Macro and Micro Economic Indicators
• 3.2. Drivers, Restraints, Opportunities and Trends
• 3.3. Impact of Generative AI

4. Competition Landscape

• 4.1. Business Strategies Adopted by Key Players
• 4.2. Consolidated SWOT Analysis of Key Players
• 4.3. Global AI in Telecommunication Key Players Market Share Insights and Analysis, 2025

5. Global AI in Telecommunication Market Size Estimates and Forecasts, By Segments, 2021 - 2034

• 5.1. Key Findings
• 5.2. By Deployment (USD)
  • 5.2.1. Cloud
  • 5.2.2. On-Premises
• 5.3. By Technology (USD)
  • 5.3.1. Machine Learning
  • 5.3.2. Natural Language Processing
  • 5.3.3. Big Data
  • 5.3.4. Others (Deep Learning, etc.)
• 5.4. By Application (USD)
  • 5.4.1. Network/IT Operations Management
  • 5.4.2. Customer Service and Marketing VDAS
  • 5.4.3. CRM Management
  • 5.4.4. Radio Access Network
  • 5.4.5. Customer Experience Management
  • 5.4.6. Predictive Maintenance
  • 5.4.7. Others (Fraud Mitigation, etc.)
• 5.5. By Region (USD)
  • 5.5.1. North America
  • 5.5.2. South America
  • 5.5.3. Europe
  • 5.5.4. Middle East & Africa
  • 5.5.5. Asia Pacific

6. North America AI in Telecommunication Market Size Estimates and Forecasts, By Segments, 2021 - 2034

• 6.1. Key Findings
• 6.2. By Deployment (USD)
  • 6.2.1. Cloud
  • 6.2.2. On-Premises
• 6.3. By Technology (USD)
  • 6.3.1. Machine Learning
  • 6.3.2. Natural Language Processing
  • 6.3.3. Big Data
  • 6.3.4. Others (Deep Learning, etc.)
• 6.4. By Application (USD)
  • 6.4.1. Network/IT Operations Management
  • 6.4.2. Customer Service and Marketing VDAS
  • 6.4.3. CRM Management
  • 6.4.4. Radio Access Network
  • 6.4.5. Customer Experience Management
  • 6.4.6. Predictive Maintenance
  • 6.4.7. Others (Fraud Mitigation, etc.)
• 6.5. By Country (USD)
  • 6.5.1. U.S.
  • 6.5.2. Canada
  • 6.5.3. Mexico

7. South America AI in Telecommunication Market Size Estimates and Forecasts, By Segments, 2021 - 2034

• 7.1. Key Findings
• 7.2. By Deployment (USD)
  • 7.2.1. Cloud
  • 7.2.2. On-Premises
• 7.3. By Technology (USD)
  • 7.3.1. Machine Learning
  • 7.3.2. Natural Language Processing
  • 7.3.3. Big Data
  • 7.3.4. Others (Deep Learning, etc.)
• 7.4. By Application (USD)
  • 7.4.1. Network/IT Operations Management
  • 7.4.2. Customer Service and Marketing VDAS
  • 7.4.3. CRM Management
  • 7.4.4. Radio Access Network
  • 7.4.5. Customer Experience Management
  • 7.4.6. Predictive Maintenance
  • 7.4.7. Others (Fraud Mitigation, etc.)
• 7.5. By Country (USD)
  • 7.5.1. Brazil
  • 7.5.2. Argentina
  • 7.5.3. Rest of South America

8. Europe AI in Telecommunication Market Size Estimates and Forecasts, By Segments, 2021 - 2034

• 8.1. Key Findings
• 8.2. By Deployment (USD)
  • 8.2.1. Cloud
  • 8.2.2. On-Premises
• 8.3. By Technology (USD)
  • 8.3.1. Machine Learning
  • 8.3.2. Natural Language Processing
  • 8.3.3. Big Data
  • 8.3.4. Others (Deep Learning, etc.)
• 8.4. By Application (USD)
  • 8.4.1. Network/IT Operations Management
  • 8.4.2. Customer Service and Marketing VDAS
  • 8.4.3. CRM Management
  • 8.4.4. Radio Access Network
  • 8.4.5. Customer Experience Management
  • 8.4.6. Predictive Maintenance
  • 8.4.7. Others (Fraud Mitigation, etc.)
• 8.5. By Country (USD)
  • 8.5.1. U.K.
  • 8.5.2. Germany
  • 8.5.3. France
  • 8.5.4. Italy
  • 8.5.5. Spain
  • 8.5.6. Russia
  • 8.5.7. Benelux
  • 8.5.8. Nordics
  • 8.5.9. Rest of Europe

9. Middle East & Africa AI in Telecommunication Market Size Estimates and Forecasts, By Segments, 2021 - 2034

• 9.1. Key Findings
• 9.2. By Deployment (USD)
  • 9.2.1. Cloud
  • 9.2.2. On-Premises
• 9.3. By Technology (USD)
  • 9.3.1. Machine Learning
  • 9.3.2. Natural Language Processing
  • 9.3.3. Big Data
  • 9.3.4. Others (Deep Learning, etc.)
• 9.4. By Application (USD)
  • 9.4.1. Network/IT Operations Management
  • 9.4.2. Customer Service and Marketing VDAS
  • 9.4.3. CRM Management
  • 9.4.4. Radio Access Network
  • 9.4.5. Customer Experience Management
  • 9.4.6. Predictive Maintenance
  • 9.4.7. Others (Fraud Mitigation, etc.)
• 9.5. By Country (USD)
  • 9.5.1. Turkey
  • 9.5.2. Israel
  • 9.5.3. GCC
  • 9.5.4. North Africa
  • 9.5.5. South Africa
  • 9.5.6. Rest of Middle East & Africa

10. Asia Pacific AI in Telecommunication Market Size Estimates and Forecasts, By Segments, 2021 - 2034

• 10.1. Key Findings
• 10.2. By Deployment (USD)
  • 10.2.1. Cloud
  • 10.2.2. On-Premises
• 10.3. By Technology (USD)
  • 10.3.1. Machine Learning
  • 10.3.2. Natural Language Processing
  • 10.3.3. Big Data
  • 10.3.4. Others (Deep Learning, etc.)
• 10.4. By Application (USD)
  • 10.4.1. Network/IT Operations Management
  • 10.4.2. Customer Service and Marketing VDAS
  • 10.4.3. CRM Management
  • 10.4.4. Radio Access Network
  • 10.4.5. Customer Experience Management
  • 10.4.6. Predictive Maintenance
  • 10.4.7. Others (Fraud Mitigation, etc.)
• 10.5. By Country (USD)
  • 10.5.1. China
  • 10.5.2. Japan
  • 10.5.3. India
  • 10.5.4. South Korea
  • 10.5.5. ASEAN
  • 10.5.6. Oceania
  • 10.5.7. Rest of Asia Pacific

11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)

• 11.1. Infosys Limited
  • 11.1.1. Overview
    • 11.1.1.1. Key Management
    • 11.1.1.2. Headquarters
    • 11.1.1.3. Offerings/Business Segments
  • 11.1.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.1.2.1. Employee Size
    • 11.1.2.2. Past and Current Revenue
    • 11.1.2.3. Geographical Share
    • 11.1.2.4. Business Segment Share
    • 11.1.2.5. Recent Developments
• 11.2. IBM Corporation
  • 11.2.1. Overview
    • 11.2.1.1. Key Management
    • 11.2.1.2. Headquarters
    • 11.2.1.3. Offerings/Business Segments
  • 11.2.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.2.2.1. Employee Size
    • 11.2.2.2. Past and Current Revenue
    • 11.2.2.3. Geographical Share
    • 11.2.2.4. Business Segment Share
    • 11.2.2.5. Recent Developments
• 11.3. Cisco Systems Inc.
  • 11.3.1. Overview
    • 11.3.1.1. Key Management
    • 11.3.1.2. Headquarters
    • 11.3.1.3. Offerings/Business Segments
  • 11.3.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.3.2.1. Employee Size
    • 11.3.2.2. Past and Current Revenue
    • 11.3.2.3. Geographical Share
    • 11.3.2.4. Business Segment Share
    • 11.3.2.5. Recent Developments
• 11.4. Telefonaktiebolaget LM Ericsson
  • 11.4.1. Overview
    • 11.4.1.1. Key Management
    • 11.4.1.2. Headquarters
    • 11.4.1.3. Offerings/Business Segments
  • 11.4.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.4.2.1. Employee Size
    • 11.4.2.2. Past and Current Revenue
    • 11.4.2.3. Geographical Share
    • 11.4.2.4. Business Segment Share
    • 11.4.2.5. Recent Developments
• 11.5. Nokia Corporation
  • 11.5.1. Overview
    • 11.5.1.1. Key Management
    • 11.5.1.2. Headquarters
    • 11.5.1.3. Offerings/Business Segments
  • 11.5.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.5.2.1. Employee Size
    • 11.5.2.2. Past and Current Revenue
    • 11.5.2.3. Geographical Share
    • 11.5.2.4. Business Segment Share
    • 11.5.2.5. Recent Developments
• 11.6. Intel Corporation
  • 11.6.1. Overview
    • 11.6.1.1. Key Management
    • 11.6.1.2. Headquarters
    • 11.6.1.3. Offerings/Business Segments
  • 11.6.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.6.2.1. Employee Size
    • 11.6.2.2. Past and Current Revenue
    • 11.6.2.3. Geographical Share
    • 11.6.2.4. Business Segment Share
    • 11.6.2.5. Recent Developments
• 11.7. Alphabet Inc.
  • 11.7.1. Overview
    • 11.7.1.1. Key Management
    • 11.7.1.2. Headquarters
    • 11.7.1.3. Offerings/Business Segments
  • 11.7.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.7.2.1. Employee Size
    • 11.7.2.2. Past and Current Revenue
    • 11.7.2.3. Geographical Share
    • 11.7.2.4. Business Segment Share
    • 11.7.2.5. Recent Developments
• 11.8. Nuance Communications, Inc.
  • 11.8.1. Overview
    • 11.8.1.1. Key Management
    • 11.8.1.2. Headquarters
    • 11.8.1.3. Offerings/Business Segments
  • 11.8.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.8.2.1. Employee Size
    • 11.8.2.2. Past and Current Revenue
    • 11.8.2.3. Geographical Share
    • 11.8.2.4. Business Segment Share
    • 11.8.2.5. Recent Developments
• 11.9. Nvidia Corporation
  • 11.9.1. Overview
    • 11.9.1.1. Key Management
    • 11.9.1.2. Headquarters
    • 11.9.1.3. Offerings/Business Segments
  • 11.9.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.9.2.1. Employee Size
    • 11.9.2.2. Past and Current Revenue
    • 11.9.2.3. Geographical Share
    • 11.9.2.4. Business Segment Share
    • 11.9.2.5. Recent Developments
• 11.10. AT&T Corporation
  • 11.10.1. Overview
    • 11.10.1.1. Key Management
    • 11.10.1.2. Headquarters
    • 11.10.1.3. Offerings/Business Segments
  • 11.10.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.10.2.1. Employee Size
    • 11.10.2.2. Past and Current Revenue
    • 11.10.2.3. Geographical Share
    • 11.10.2.4. Business Segment Share
    • 11.10.2.5. Recent Developments

12. Key Takeaways