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AIOps For Telecom Operations Market Growth Fueled By Increasing Network Availability Driving Market Acceleration in the Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Industry, 2025
Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations
How Large Will the Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market Size By 2025?
The market size of artificial intelligence for information technology operations (AIOps) in the telecom industry has witnessed a significant surge in recent times. The market is expected to expand from $0.86 billion in 2024 to $1.26 billion in 2025, with a compound annual growth rate (CAGR) of 46.6%. The historic expansion can be attributed to factors such as enhanced network availability, increased operational efficiency, the emergence of cloud platforms from various telecom companies, the rising significance of machine learning, and a decrease in operational costs.
How Big Is the Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market Size Expected to Grow by 2029?
The market size for artificial intelligence for information technology operations (AIOps) for telecom operations is predicted to experience significant expansion in the coming years, with an expected growth to $5.76 billion in 2029 and a compound annual growth rate (CAGR) of 46.2%. The projected growth within this period can be credited to factors such as reduced operational costs, automation in network and service operations, optimized network planning, adherence to closed-loop operations for autonomous networks, and elevated security via enhanced monitoring and compliance. Key trends predicted during the forecast period include evolving machine learning and artificial intelligence (AI) integration, progression of image recognition systems, swift deployment of the upcoming 5G technology, introduction of advanced machine learning models, and the integration of edge computing.
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Which Key Market Drivers Powering Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market Expansion and Growth?
The growth of artificial intelligence for IT operations (AIOps) in the telecom operations market is expected to be spurred by the increase in network availability. Network availability, which refers to the percentage of time a network remains fully operational within a certain period-typically a year, is on the rise. Factors such as the demand for digital services, cloud migration, security measures, improved infrastructure, and the need for uninterrupted connectivity to support vital business functions increase the demand for network availability. AIOps solutions have the capacity to detect abnormalities, spot potential challenges, and forecast future issues by analyzing vast amounts of data from network devices, logs, and metrics in real-time. The Mobile World Live (MWL) report in October 2022 illustrated this reliance as it reported a leap in the adoption of 5G services among American consumers to 61% in 2022, a massive increase from 43% in 2021, facilitated by a UK-based online communications hub for the American mobile industry. Therefore, the increased demand for network availability underscores the growth of AI for IT operations (AIOps) in the telecom operations market.
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Which Fast-Growing Trends Are Poised to Disrupt the Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market?
Top-tier companies in the market of Artificial Intelligence for Information Technology Operations (AIOps) specifically for telecom operations, are concentrating on developing revolutionary products like AI Anywhere. This is aimed at boosting the efficiency of telecom operations. AI Anywhere delivers a comprehensive solution that comes equipped with pre-set tools, frames and ensures responsible deployment of generative AI using proprietary data. This guarantees proper installation and complete support during the whole AI lifecycle. To illustrate, Rackspace Technology Inc., a pioneer in cloud computing hailing from the United States, introduced AI Anywhere, an AI and machine-learning based private cloud platform in January 2024. These solutions are tailor-made to amplify operational efficiency while addressing the challenges faced by IT teams operating in the convoluted data ecosystems in the telecom sector. By utilizing AI technologies like big data analytics and automation, AI Anywhere empowers telecom service providers to streamline operations, foresee outages, improve system performance, and refine services facing the customer.
What Are the Emerging Segments in the Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market?
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
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Who Are the Global Leaders in the Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market?
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 are the Top Profitable Regional Markets for the Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Industry?
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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