{"id":967301,"date":"2025-10-10T17:28:32","date_gmt":"2025-10-10T11:58:32","guid":{"rendered":"https:\/\/telecomlive.in\/web\/?p=967301"},"modified":"2025-10-11T08:34:15","modified_gmt":"2025-10-11T03:04:15","slug":"india-mobile-congress-2025-49-of-global-telcos-embed-ai-in-daily-operations-says-kpmg-in-india","status":"publish","type":"post","link":"https:\/\/telecomlive.in\/web\/2025\/10\/10\/india-mobile-congress-2025-49-of-global-telcos-embed-ai-in-daily-operations-says-kpmg-in-india\/","title":{"rendered":"India Mobile Congress 2025: 49% of global telcos embed AI in daily operations, says KPMG in India"},"content":{"rendered":"<p>97% of the global telecom carriers are either assessing or adopting artificial intelligence, while 49% have embedded it into their daily operations, according to a report by KPMG in India. <\/p>\n<p>Last year, only 41% of the global telcos were using AI in their daily operations, the study noted. <\/p>\n<p>The report, released at the ongoing India Mobile Congress (IMC) 2025 by Union Minister of Communications Jyotiraditya Scindia, explores how agentic AI can revolutionise the telecom sector by enabling intelligent networks, predictive maintenance, hyper-personalised customer engagement, and real-time service orchestration. <\/p>\n<p>It also addresses the key challenges faced by the telecom sector, including the complexity of integrating autonomous AI systems, the need for robust AI governance, and the imperative to upskill workforces to collaborate effectively with intelligent agents. <\/p>\n<p>\u201cDespite these hurdles, the industry shows strong momentum in overcoming barriers through strategic investments, policy frameworks, and ecosystem collaborations,\u201d KPMG in India said in its findings. <\/p>\n<p>Agentic AI is considered an evolution of GenAI, and is expected to enable autonomously self-healing networks, hyper-personalised customer engagement, and predictive churn management. <\/p>\n<p>In fact, the report found that 65% of global telcos plan to increase AI spending in 2025, directing funds towards AI-ready infrastructure and workforce upskilling. <\/p>\n<p>It found that business leaders plan to spend $25 million on new technology talent and $24 million on customer experience initiatives in the next 12 months, to embrace and deliver the benefits of AI. <\/p>\n<p>\u2018India natural testbed for mass adoption of AI\u2019 <\/p>\n<p>KPMG in India noted that India\u2019s large-scale telecom sector &#8212; including more than 1.2 billion mobile subscribers and nearly 800 million broadband users &#8212; offers an \u201cunmatched scale and data richness\u201d for AI innovation. <\/p>\n<p>The average mobile data consumption per user has soared to nearly 32 GB per month, one of the highest globally. The sector\u2019s financial health is improving, with average revenue per user (ARPU) rising to about \u20b9174.46 per month and wireless data revenues growing 15.5% annually to \u20b92.15 lakh crore in FY25. <\/p>\n<p>Akhilesh Tuteja, partner &#038; national leader (technology, media and telecommunications), KPMG in India, said, \u201cAgentic AI is more than a technological advancement\u2014it is a strategic paradigm shift that empowers telecom operators to move from reactive to autonomous systems.\u201d <\/p>\n<p>\u201cSuccessfully adopting agentic AI demands a fundamental revisit of operating models, technology stacks, and platform architecture\u2014alongside workforce capabilities and governance frameworks,\u201d said Purushothaman KG, telecom sector head, KPMG in India.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>97% of the global telecom carriers are either assessing or adopting artificial intelligence, while 49% have embedded it into their daily operations, according to a report by KPMG in India. Last year, only 41% of the global telcos were using AI in their daily operations, the study noted. The report, released at the ongoing India Mobile Congress (IMC) 2025 by Union Minister of Communications Jyotiraditya Scindia, explores how agentic AI can revolutionise the telecom sector by enabling intelligent networks, predictive maintenance, hyper-personalised customer engagement, and real-time service orchestration. It also addresses the key challenges faced by the telecom sector, including [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[7],"tags":[],"class_list":["post-967301","post","type-post","status-publish","format-standard","hentry","category-it-2"],"acf":[],"_links":{"self":[{"href":"https:\/\/telecomlive.in\/web\/wp-json\/wp\/v2\/posts\/967301","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/telecomlive.in\/web\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/telecomlive.in\/web\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/telecomlive.in\/web\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/telecomlive.in\/web\/wp-json\/wp\/v2\/comments?post=967301"}],"version-history":[{"count":0,"href":"https:\/\/telecomlive.in\/web\/wp-json\/wp\/v2\/posts\/967301\/revisions"}],"wp:attachment":[{"href":"https:\/\/telecomlive.in\/web\/wp-json\/wp\/v2\/media?parent=967301"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/telecomlive.in\/web\/wp-json\/wp\/v2\/categories?post=967301"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/telecomlive.in\/web\/wp-json\/wp\/v2\/tags?post=967301"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}