The Generative AI In Telecom Market is being driven by Imperative for hyper-automation and operational efficiency
The Generative AI In Telecom Market is expected to grow at a CAGR of 42.7% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 2716 million. In the dynamic telecom market, there is a discernible trend toward the adoption of proprietary, telecom-specific generative AI models. While foundational models offer a strong foundation, telecommunications companies recognize the need for AI solutions that intimately understand the nuances and complexities of their industry. This necessitates the training or fine-tuning of models on extensive, industry-specific datasets, encompassing network telemetry, operational support systems data, billing system information, customer interaction logs, and technical engineering documentation. The primary objective of this shift is to enhance model accuracy and minimize the risk of model hallucinations, thereby securing a competitive edge in the telecom sector.
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The market is segmented based on
According to Technavio, There are several factors that are causing the market to flourish during the forecast period, which are as follows:
However, the market also witnesses some limitations, which are as follows:
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Market Scope |
|
Report Coverage |
Details |
Page number |
227 |
Base year |
2024 |
Historic period |
2019-2023 |
Forecast period |
2025-2029 |
Growth momentum & CAGR |
Accelerate at a CAGR of 42.7% |
Market growth 2025-2029 |
USD 2716 million |
Market structure |
fragmentation |
YoY growth 2024-2025(%) |
39.3 |
Key countries |
China, India, Japan, South Korea, UK, Germany, France, US, Canada, and Brazil |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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In the telecom market, Generative AI is revolutionizing network intelligence by employing data augmentation techniques and model explainability methods. Amidst data privacy regulations, telecom companies ensure cybersecurity through network resilience strategies and AI bias mitigation. Operational efficiency gains and revenue enhancement strategies are achieved through telecom regulatory compliance, network virtualization platforms, cloud-native infrastructure, containerization technologies, microservices architecture, and API integration strategies. Service orchestration tools, automation frameworks, and devops methodologies facilitate agile development processes in telecom infrastructure modernization. Network performance management and customer experience optimization are enhanced with network security automation and AI explainability techniques.
In the telecom sector, Artificial Intelligence (AI) is revolutionizing network optimization and maintenance through predictive analytics and generative AI. AI-driven network optimization utilizes machine learning algorithms to analyze historical data and identify patterns, enabling proactive network management and improved performance. Predictive network maintenance leverages AI to anticipate potential issues and schedule preventative measures, reducing downtime and enhancing customer experience. Furthermore, AI-powered chatbots streamline customer interactions, offering personalized solutions and reducing response times. The IT software market encompasses companies providing application software, including those specializing in telecom solutions utilizing AI for network optimization and maintenance. According to Technavio, the global IT software market size is determined by the consolidated revenue of all software providers, including those offering cloud-based solutions.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.
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