TLDR: A new report from ResearchAndMarkets.com highlights substantial growth opportunities for major telecommunications companies in enterprise Generative AI (GenAI) solutions between 2025 and 2030. The study emphasizes telcos’ potential to leverage GenAI for new B2B revenue streams, despite challenges like data readiness, positioning them as crucial partners in digital transformation.
DUBLIN – September 30, 2025 – A comprehensive report titled ‘Growth Opportunities for Telcos’ Enterprise GenAI Solutions, 2025-2030,’ released by ResearchAndMarkets.com, reveals a burgeoning landscape for telecommunications service providers (telcos) in the enterprise Generative Artificial Intelligence (GenAI) market. The study, published today, identifies significant avenues for growth, strategic partnerships, and new revenue streams for leading telcos globally.
The report meticulously examines the current state of telco-led GenAI solutions tailored for enterprise clients, offering benchmarks for prominent players across North America, Europe, and Asia-Pacific. Key telcos featured in the analysis include Altice, Deutsche Telekom, e& enterprise, KT, Lumen, Orange Business, SK TELECOM, Telefonicas, and Verizon.
Generative AI, defined as technologies capable of creating novel content such as text, images, code, audio, and video by learning from existing data and models, presents transformative opportunities for telcos beyond traditional network optimization and customer support. By deploying proprietary large language models (LLMs) and integrating advanced AI-driven services, telcos are positioned to unlock substantial new B2B revenue streams and solidify their role as strategic partners in enterprise digital transformation initiatives.
Despite the immense potential, the report highlights varying levels of AI maturity among telcos, ranging from initial proof-of-concept stages to large-scale implementations across diverse use cases. A significant impediment to realizing GenAI’s full potential is identified as the prevalent lack of unified, real-time enterprise data architectures, which hampers effective model training and limits the efficacy of GenAI solutions. To overcome this, a well-defined AI strategy, a clear roadmap, and improved data readiness are deemed essential.
From an analyst’s perspective, enterprises are increasingly seeking scalable and secure AI solutions, often due to a deficit of in-house expertise. This trend positions telcos, with their extensive reach and end-to-end capabilities, to become trusted AI partners. The report underscores the necessity of adopting new business models, such as ‘AI-as-a-service’ and virtualized solutions, to remain competitive and relevant. These models enable telcos to more effectively monetize their data, 5G infrastructure, and edge computing assets.
Complementary data from a related report indicates the global generative AI in telecom market reached approximately $477.15 million in 2024, having experienced a compound annual growth rate (CAGR) of 49.87% since 2019. Projections suggest robust expansion, with the market expected to surge to $3.76 billion by 2029 at a CAGR of 51.15%, and further to $29.0 billion by 2034 with a CAGR of 50.44%. The most significant opportunities within this market are anticipated in text-based GenAI, software components, and cloud-based deployment solutions.
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Overall, the ResearchAndMarkets.com report serves as a critical guide for telcos navigating the complexities and opportunities within the rapidly evolving enterprise GenAI landscape, emphasizing strategic investment and development to capitalize on this transformative technology.
