통신 업계에서 생성형 AI의 영향 : 혁신과 애플리케이션 평가

Applications, Solutions, and Future Opportunities

The study explores the transformative effects of generative AI technologies on various facets of the telecom industry. It includes an examination of how AI-driven innovations enhance network optimization, customer service, and operational efficiency; an analysis of AI applications in predictive maintenance, fraud detection, and personalized customer experiences; and an investigation of the economic implications, potential challenges, and ethical considerations associated with the deployment of generative AI in telecom.

Generative AI for telecom is presented from two perspectives: application areas focusing on business functions it can cater to; and solutioning, highlighting the core enablement or key functionality it aims to provide in the telecom industry.

Through an evaluation of case studies and industry data, the research provides a comprehensive understanding of how generative AI can drive growth, improve service quality, and foster innovation in the telecom industry so that telcos can improve their returns on investment. The valuable insights will help stakeholders, including telecom operators, policymakers, and technology developers, strategically leverage AI advancements for competitive advantage and sustainable development.

• This report explores the transformative impact of Generative AI (GenAI) in the telecom industry, focusing on its growth potential, challenges, and application areas.
• The report identifies emerging growth opportunities and real-world adoption of GenAI in telecom, exploring key drivers, restraints, and application areas such as customer experience, network optimization, and fraud prevention.
• It covers GenAI adoptions and platforms, predicts adoption timelines, and provides actionable strategies for telecom operators, GenAI providers, and service partners to accelerate innovation and scalability.
• The sections on application areas also illuminates ways telecom companies can enhance operational efficiency, optimize networks, and overcome challenges, while providing a roadmap for GenAI adoption.
• These insights also enable GenAI companies and service providers to identify telecom-specific pain points, deliver tailored solutions, and build partnerships to drive faster deployments and scalable, AI-driven innovations.
• By addressing growth opportunities and challenges, this report empowers stakeholders to unlock GenAI’s advanced potential in driving telecom innovation, efficiency, and profitability.

Table of Contents

Strategic Imperatives

• Why Is It Increasingly Difficult to Grow? The Strategic Imperative 8: Factors Creating Pressure on Growth
• The Strategic Imperative 8
• The Impact of the Top 3 Strategic Imperatives on Generative AI Applications in the Telecom Industry
• Growth Opportunities Fuel the Growth Pipeline Engine
• Research Methodology

Growth Opportunity Analysis

• Scope of Analysis
• Segmentation
• Introduction-Current State of the Telecom Industry
• Introduction-Industry Challenges
• Introduction-GenAI as a Solution

Growth Generator

• Growth Drivers
• Growth Restraints

Application Areas and Benefits

• Telecom-Specific Application Areas and Adoption Benefits
• GenAI-Telecom Adoption Instances
• GenAI as an Enabler in Telecom-Specific Solutions
• Key Platforms Offering GenAI Functionality for Telecom
• Possible Adoption Levels and Application Timeline for GenAI in Telecom Operations

Growth Opportunity Universe

• Growth Opportunity 1: Promote Infrastructure and Talent Establishment to Address Data Privacy, Scalability, and Cost Concerns
• Growth Opportunity 2: Focus on Partnerships for Faster GenAI Deployment
• Growth Opportunity 3: Tackle GenAI Integration Challenges Pre-emptively for a Scalable Solution

Appendix

• Technology Readiness Levels TRL: Explanation

Next Steps

• Benefits and Impacts of Growth Opportunities
• Next Steps
• Legal Disclaimer