The artificial intelligence for information technology operations aiops for telecom operations market has seen considerable growth due to a variety of factors.
• In recent times, the market size for Artificial Intelligence for Information Technology Operations (AIOps) for telecom operations has seen an exponential increase. From being valued at $0.86 billion in 2024, it's projected growth is estimated to reach $1.26 billion by 2025, manifesting a Compound Annual Growth Rate (CAGR) of 46.6%.
The growth observed in the preceding period is attributable to factors such as expanded network availability, enhanced operational efficiency, rise in the deployment of cloud platforms by multiple telecom firms, increased significance accorded to machine learning and a reduction in operational costs.
The artificial intelligence for information technology operations aiops for telecom operations market is expected to maintain its strong growth trajectory in upcoming years.
• Over the coming years, a significant surge is anticipated in the market size of AIOps for telecom operations, with projections predicting a growth to $5.76 billion by 2029.
This sharp increase, showing a compound annual growth rate (CAGR) of 46.2%, can be credited to a handful of contributing factors. These include a reduction in operational costs, the automation of networks and service operations, optimization in network planning, the implementation of closed-loop operations for autonomous networks, as well as heightened security due to enhanced monitoring and compliance. Furthermore, the forecasted period will witness predominant trends such as the integration of machine learning with AI, the evolution of image recognition systems, the swift deployment of 5G technology, the advancement of machine learning models, and the incorporation of edge computing.
The anticipated expansion of network accessibility is set to drive the growth of artificial intelligence for Information Technology (IT) operations, also known as AIOps, in the telecom operations sector. Network availability is denoted by the proportion of time that a network system functions optimally over a defined period, usually over one year. Factors like dependency on digital services, migration to cloud-based systems, implementing security protocols, enhancements in infrastructure and the requirement for constant connectivity to sustain essential business activities raise the need for network availability. AIOps solutions can autonomously detect anomalies, pinpoint possible trouble areas, and forecast impending issues by examining vast amounts of data from network devices, logs, and metrics in real-time. As per a report by Mobile World Live (MWL) in October 2022, the adoption rate of 5G services for a UK-based online communications hub catering to the mobile industry in the US leapt to 61% in 2022, a jump from 43% the previous year. Consequently, the rise in network availability is boosting the growth of artificial intelligence for IT operations (AIOps) in the telecom operations sector.
The artificial intelligence for information technology operations (AIOps) for telecom operations market 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
Key players in the telecom operations market that utilize artificial intelligence for IT operations (AIOps) are heavily investing in the creation of innovative products like AI Anywhere to streamline telecom operations. This platform, AI Anywhere, is an end-to-end solution that comes with ready-made tools, frameworks and support that facilitate the effective deployment of generative AI using the company's private data, thereby ensuring accurate deployment and comprehensive support throughout the lifecycle of generative AI. For example, Rackspace Technology Inc., a U.S. based provider of cloud services, introduced its own AI Anywhere product in January 2024. This private cloud platform, built on AI and machine learning (ML) principles, is designed to support IT teams in dealing with the challenges of complex data ecosystems in the telecom sector. By exploiting AI technologies such as automation and big data analytics, AI Anywhere allows telecom service providers to enhance operations, predict system failures, improve system performance and refine customer service.
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.
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.