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Soaring Demand Set to Propel Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market to $5.11 Billion by 2029

10-21-2025 12:02 PM CET | IT, New Media & Software

Press release from: The Business Research Company

Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations

Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations

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What Will the Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Industry Market Size Be by 2025?
The market size for Artificial Intelligence for Information Technology Operations (AIOps) in telecom operations has seen exceptional growth in the past years. The market is expected to expand from $0.86 billion in 2024 to $1.25 billion in 2025, with a Compound Annual Growth Rate (CAGR) of 45.7%. This significant increase during the historic period can be linked to heightened network availability, improved operational efficiency, a rise in cloud platforms utilized by various telecom firms, growing importance of machine learning, and a decrease in operational costs.

What's the Long-Term Growth Forecast for the Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market Size Through 2029?
Forecasted to witness remarkable expansion in the coming years, the market size of artificial intelligence for information technology operations (aiops) for the telecom operations sector is estimated to increase to $5.11 billion in 2029, with a compound annual growth rate (CAGR) of 42.1%. The projected growth during this period is a result of a combination of factors such as reduction in operational costs, automation of service and network operations, optimized network planning, closed-loop operations for independent networks, and improved security via better monitoring and compliance. Key trends in this forecasted period incorporate the integration of machine learning and artificial intelligence (AI), the creation of image recognition systems, swift deployment of 5G technology, advanced machine learning designs, and incorporation of edge computing.

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What Are the Key Growth Drivers Fueling the Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market Expansion?
The rise in network availability is predicted to fuel the expansion of artificial intelligence for IT operations (AIOps) in the telecom operations sector moving forward. Network availability refers to the duration for which a network system remains fully functional over a certain span, usually calculated annually. Factors such as reliance on digital utilities, migration to the cloud, improved security protocols, superior infrastructure, and the requirement for continuous connectivity to aid vital business operations are escalating the demand for network availability. AIOps solutions are capable of detecting irregularities, foreseeing possible difficulties, and making likely future problem predictions by scrutinizing huge swathes of data from network devices, logs, and metrics in real-time. An instance in point is a report by Mobile World Live in October 2022, which revealed that there was a significant adoption spike of 5G services among consumers in the United States to 61% in 2022, a considerable increase from 43% in the prior year. Consequently, the surge in network availability is facilitating the ascendancy of artificial intelligence for IT operations (AIOps) in the telecom operations market.

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What Are the Key Trends Driving Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market Growth?
Major firms in the Artificial Intelligence for Information Technology Operations (AIOps) in the telecom operations industry are striving to create groundbreaking products like AI Anywhere to streamline telecom operations. AI Anywhere offers a comprehensive solution, complete with pre-built tools, frameworks and support, for the effective deployment of generative AI using proprietary data. This ensures exact deployment and complete support throughout the generative AI lifecycle. For example, in January 2024, Rackspace Technology Inc., a cloud computing firm based in the US, introduced the AI Anywhere, a private cloud platform that relies on Artificial Intelligence (AI) and Machine Learning (ML). The aim of these solutions is to boost operational effectiveness and tackle the challenges faced by IT teams in handling intricate data ecosystems within the telecom industry. By utilizing AI technologies such as big data analytics and automation, AI Anywhere empowers telecom service providers to enhance operations, foresee system failures, boost system performance, and improve customer-oriented services.

How Is the Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market Segmented?
The artificial intelligence for information technology operations (aiops) for telecom operationsmarket covered in this report is segmented -

1) By Offering: Platform, Service
2) By Deployment Model: On-Premise, Cloud
3) By Application: Infrastructure Management, Application Performance Analysis, Real-Time Analytics, Network And Security Management, Other Applications

Subsegments:
1) By Platform: AIOps Software Solutions, AI-Driven Network Monitoring Platforms, Predictive Analytics Platforms, Automation And Orchestration Platforms, Real-Time Data Processing Platforms
2) By Service: Consulting Services, Integration And Implementation Services, Managed Services, Training And Support Services, Custom AI Model Development Services

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Which Companies Are Leading the Charge in Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market Innovation?
Major companies operating in the artificial intelligence for information technology operations (AIOps) for telecom operations market are Amazon.com Inc., International Business Machines Corporation (IBM), Cisco Systems Inc., Broadcom SA, Devo Technology Inc., VMware Inc., HCL Technologies Limited, Micro Focus International Limited, Splunk Inc., BMC Software Inc., Catchpoint Systems Inc., Neustar Inc., Dynatrace LLC, New Relic Inc., Elastic NV, PagerDuty Inc., AppDynamics LLC, Exabeam Inc., Correlata Solutions Ltd., Moogsoft Inc., Corvil Limited, Gigamon Inc., LogMeIn Inc., Loom Systems Ltd., Nexthink SA, Pingman Tools LLC, ProphetStor Data Services Inc., Resolve Systems LLC, RISC Networks, StackState Inc.

Which Regions Are Leading the Global Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market in Revenue?
North America was the largest region in the artificial intelligence for IT operations (AIOps) for telecom operations market in 2024. The regions covered in the artificial intelligence for information technology operations (AIOps) for telecom operations market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

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