According to a market report by Lucintel, The future of the global AI-powered telecom fraud detection market looks promising with opportunities in the subscription fraud, revenue share fraud, wangiri fraud, PBX hacking, SIM box fraud, roaming fraud, and new account fraud markets. The global AI-powered telecom fraud detection market is expected to grow with a CAGR of 21% from 2025 to 2031. The major drivers for this market are the increasing volume of sophisticated telecom scams, the rising demand for real time fraud alerts, and the growing use of AI for network security.
A more than 150-page report to understand trends, opportunity and forecast in AI-powered telecom fraud detection market to 2031 by technology (machine learning & deep learning, natural language processing, big data analytics, behavioral analytics, and others), organization size (large enterprises and small & medium-sized enterprises), deployment mode (on-premises and cloud-based), fraud type (subscription fraud, revenue share fraud, wangiri fraud, PBX hacking, SIM box fraud, roaming fraud, new account fraud, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World).
Lucintel forecasts that, within the technology category, machine learning & deep learning is expected to witness higher growth over the forecast period.
Within the fraud type category, roaming fraud is expected to witness the highest growth.
In terms of region, APAC is expected to witness the highest growth over the forecast period.
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Subex Limited, Socure, Neural Technologies Limited, Vonage Holdings Corp., HCLTech, SAS Institute, Inform Software, Sift Science, Quantexa Limited, Feedzai are the major suppliers in the AI-powered telecom fraud detection market.
This unique research report will enable you to make confident business decisions in this globally competitive marketplace. For a detailed table of contents, contact Lucintel at +1-972-636-5056 or write us at [email protected] to get access of more than 1000 reports at fraction of cost visit Lucintel's Analytics Dashboard.
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Contact:
Roy Almaguer
Lucintel
Dallas, Texas, USA
Email: [email protected]
Tel. +1-972-636-5056
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