Generative Artificial Intelligence (AI) In Telecom Market 2025

> Generative Artificial Intelligence (AI) In The Telecom Industry Market Size

The global generative artificial intelligence (AI) in telecom market reached a value of nearly $477.15 million in 2024, having grown at a compound annual growth rate (CAGR) of 49.87% since 2019. The market is expected to grow from $477.15 million in 2024 to $3,764.39 million in 2029 at a rate of 51.15%. The market is then expected to grow at a CAGR of 50.44% from 2029 and reach $29,004.09 million in 2034. Growth in the historic period resulted from the increasing digital penetration, expansion to rural area, development of smart cities and fraud detection and prevention in telecom. Factors that negatively affected growth in the historic period was lack of skilled professionals in AI. Going forward, the increase in deployment of 5G, increase in cloud computing, demand of IoT and connected devices and the increasing government initiative will drive the growth. Factor that could hinder the growth of the generative artificial intelligence (AI) in telecom market in the future include high implementation costs and cybersecurity threats.

Generative Artificial Intelligence (AI) In The Telecom Industry Market Drivers

The key drivers of the generative artificial intelligence (AI) in the telecom industry market include: Increase In Deployment of 5G The increase in deployment of 5G technologies is expected to propel the growth of generative artificial intelligence (AI) in telecom market going forward. The increase in the deployment of 5G technologies is driven by the growing demand for high-speed, low-latency connectivity to support advanced applications across industries. As digital transformation accelerates, businesses and consumers require faster and more reliable networks for IoT, AI-driven automation, smart cities and high-definition streaming. 5G technologies enhance generative AI in telecom by providing high-speed, low-latency connectivity for real-time applications. Faster data transmission enables AI-driven fraud detection, automated customer support, predictive maintenance and personalized services. 5G also supports seamless AI automation, edge computing and cloud-based AI, improving network optimization and anomaly detection. For instance, according to Ericsson, a Sweden-based company specializing in networking and telecommunications, 300 5G networks have been launched worldwide in 2023, covering approximately 40% of the global population outside mainland China. This is projected to increase to 80% by 2029. Therefore, the deployment of 5G technologies is expected to propel the growth of generative artificial intelligence (AI) in telecom market.

Generative Artificial Intelligence (AI) In The Telecom Industry Market Restraints

The key restraints on the Generative Artificial Intelligence (Ai) In The Telecom Industry market include: High Implementation Costs High implementation costs are expected to propel the growth of generative artificial intelligence (AI) in telecom market in the forecast period. Implementing generative AI-based cybersecurity solutions often requires significant investment in both infrastructure and expertise. The cost of integrating advanced AI models, maintaining them and scaling them across organizations can be prohibitive, especially for small and midsized businesses. This may limit the widespread adoption of generative AI in cybersecurity, especially in price-sensitive sectors. For instance, in October 2024, according to data by the IBM Institute for Business Value (IBV), US-based research and thought leadership hub, Gen AI computing costs are projected to rise by 89% from 2023 to 2025, with 70% of executives identifying generative AI as a key factor. Therefore, high implementation costs are set to drive the growth of generative artificial intelligence (AI) in telecom market.

Generative Artificial Intelligence (Ai) In The Telecom Industry Market Trends

Major trends shaping the generative artificial intelligence (AI) in the telecom industry market include: Strategic Partnerships Driving Generative AI Advancements In Telecom Major companies operating in the generative AI (Artificial Intelligence) in telecom market are adopting strategic partnerships approach to develop advanced telecom solutions. Strategic partnerships help generative AI (Artificial Intelligence) in telecom companies by combining resources and expertise, enhancing research and development capabilities, expanding market reach and accelerating commercialization, ultimately driving innovation and growth in the generative AI (Artificial Intelligence) in telecom industry. For instance, in March 2025, China Telecom, a China-based telecommunications company and ZTE Corporation, a China-based telecoms equipment corporation, made a significant announcement at the Mobile World Congress (MWC) Barcelona 2025 by launching their User-Driven Generative Intelligent Network. This AI-powered network integrates artificial intelligence into radio access and core networks, enhancing service delivery and network management. It features AI-native network evolution, generative AI applications for predictive maintenance and a user-centric approach that adapts in real-time to user demands. The network also incorporates a cell-free architecture, providing more personalized and ubiquitous connected experiences. Additionally, in January 2024, GSMA (Groupe Speciale Mobile Association), a UK-based organization that represents mobile network operators and companies in the broader telecommunications ecosystem partnered with IBM Corporation, a US-based company that provides AI-driven telecom solutions to accelerate AI adoption in the telecom sector by launching a Generative AI Training Program and Industry Challenge. This initiative aims to equip telecom professionals with AI skills, drive innovation and enhance operational efficiencies using AI-powered solutions. By combining GSMA’s industry expertise with IBM’s AI capabilities, the program focuses on training, real-world AI applications and fostering AI-driven transformation across the telecom ecosystem. Advancing Telecom Efficiency Through AI-Integrated BSS Platforms Companies operating in the generative AI (Artificial Intelligence) in telecom market are focusing on developing innovative business support system (BSS) platforms to enhance customer engagement and operational efficiency. These AI-driven solutions leverage natural language processing and predictive analytics to optimize billing, revenue management and service personalization. For instance, in February 2025, Optiva Inc., a Canada-based provider of mission-critical, cloud-native revenue management software for the telecommunications industry, launched Agentic AI, an innovative business support system (BSS) platform for the telecommunications industry, powered by Google's Gemini models (advanced multimodal artificial intelligence (AI) models developed by Google DeepMind). This integration enhances natural language understanding, proactive customer engagement and intelligent automation, enabling communication service providers (CSPs) to optimize billing transparency, create new revenue streams and personalize customer experiences. By leveraging Google's Gemini models, Optiva's Agentic AI offers advanced capabilities that allow CSPs to reduce operational expenses and accelerate time to market. The platform's AI agents can act autonomously, adapt, complete complex tasks, make decisions and proactively achieve objectives, moving beyond traditional chatbots with limited query capabilities.

Opportunities And Recommendations In The Generative Artificial Intelligence (AI) In Telecom Market

Opportunities –Recommendations- - To take advantage of the opportunities, The Business Research Company recommends the generative artificial intelligence (AI) in telecom focus on enhancing bss platforms with advanced ai integration, focus on developing tailored ai models for telecom operations, focus on strategic investments and infrastructure integration to accelerate growth, focus on developing comprehensive generative ai solutions to enhance efficiency and customer experience, focus on developing genai telco platforms to enhance customer experience and operational efficiency, expand in emerging markets, continue to focus on developed markets, focus on tiered pricing models and value-based monetization, focus on strategic content partnerships and educational outreach, focus on event-driven marketing and thought leadership positioning, focus on developing targeted solutions for telecom end-users.