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Strong Growth Ahead: Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market Size To Grow At Arecord 46.2% Cagr By 2029

05-16-2025 08:55 AM 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

The Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market Report by The Business Research Company delivers a detailed market assessment, covering size projections from 2025 to 2034. This report explores crucial market trends, major drivers and market segmentation by [key segment categories].

How Big Is the Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market Size Expected to Be by 2034?
The market for artificial intelligence for information technology operations (AIOps) applied to telecom operations has experienced exponential growth in recent years. Predicted to expand from a market size of $0.86 billion in 2024 to a higher value of $1.26 billion in 2025, it presents a compound annual growth rate (CAGR) of 46.6%. The driving factors behind the growth observed during the historical period include improved network availability, boosted operational efficiency,adoption of cloud platforms by multiple telecom firms, the crucial role of machine learning, and a decrease in operational costs.

In the forTH*Coming years, the market size of artificial intelligence for information technology operations (AIOps) for telecom operations is projected to witness a massive expansion. By 2029, it is anticipated to reach a value of $5.76 billion, growing at a compound annual growth rate (CAGR) of 46.2%. Factors spurring this growth during the forecasted period includes operational cost reductions, automation of network and service operations, network planning optimization, autonomous network's closed-loop operations, and augmented security through enhanced monitoring and compliance. The forecast period also sees a significant trend in the integration of machine learning and artificial intelligence (AI), the creation of image recognition systems, the quick rollout of 5G technology, superior machine learning models, and the incorporation of edge computing.

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What Are the Emerging Segments Within 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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What Long-Term Drivers Are Shaping Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market Trends?
The surge in network availability is anticipated to fuel the expansion of artificial intelligence for IT operations (AIOps) in the telecom sector. Network availability is essentially the proportion of time that a network system remains fully functional within a set duration, usually calculated over a year. Factors such as the growing dependence on digital services, the shift to the cloud, enhanced security procedures, advanced infrastructure, and the requirement for constant connectivity to facilitate critical business processes, have amplified the demand for network availability. AIOps solutions have the ability to automatically detect irregularities, point out possible issues, and forecast future complications by real-time analysis of vast volumes of data obtained from network resources, logs, and metrics. For example, as per the Mobile World Live (MWL) report in October 2022, the use of 5G services among consumers in the United States escalated to 61% in 2022, marking an increase from the previous year's 43%. As a result, the rise in network availability is playing a crucial part in driving the growth of artificial intelligence for IT operations (AIOps) in the telecom operations market.

Who Are the Top Competitors in Key Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market Segments?
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.

What Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market Trends Are Gaining Traction Across Different Segments?
Preeminent corporations functioning in the AIOps for telecom operations industry, such as Rackspace Technology Inc., are heavily investing in the creation of avant-garde products like AI Anywhere. The platform seeks to revolutionize telecom operations by offering a comprehensive suite of tools, structures, and backing necessary for the ethical application of generative AI utilizing proprietary data. It guarantees a polished rollout and complete support through the generative AI process. In January 2024, the American cloud computing titan unveiled this private cloud platform, grounded in AI and machine learning (ML). The solutions crafted are intended to streamline operations, take on the challenges faced by IT teams in dealing with multi-faceted telecom data ecosystems. By employing AI technologies including big data analytics and automation, AI Anywhere positions telecom service providers to streamline their processes, foresee system outages, elevate system performance, and refine services to their customers.

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https://www.thebusinessresearchcompany.com/report/artificial-intelligence-for-information-technology-operations-aiops-for-telecom-operations-global-market-report

Which Regions Are Becoming Hubs for Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market Innovation?
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.

Frequently Asked Questions:
1. What Is the Market Size and Growth Rate of the Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market?
2. What is the CAGR expected in the Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market?
3. What Are the Key Innovations Transforming the Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Industry?
4. Which Region Is Leading the Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market?

Why This Report Matters:

Competitive overview: This report analyzes the competitive landscape of the 3D imaging software market, evaluating key players on market share, revenue, and growth factors.

Informed Decisions: Understand key strategies related to products, segmentation, and industry trends.

Efficient Research: Quickly identify market growth, leading players, and major segments.

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