Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market Competitive Dashboard, Segmentation, Key Players And Forecast To 2033

The new report published by The Business Research Company, titled ""Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Global Market Report 2024 - Market Size, Trends, And Global Forecast 2024-2033"", delivers an in-depth analysis of the leading size and forecasts, investment opportunities, winning strategies, market drivers and trends, competitive landscape, and evolving market trends.

As per the report, the artificial intelligence for information technology operations (AIOps) for telecom operations market size has grown exponentially in recent years. It will grow from $0.59 billion in 2023 to $0.86 billion in 2024 at a compound annual growth rate (CAGR) of 45.8%. The artificial intelligence for information technology operations (AIOps) for telecom operations market size is expected to see exponential growth in the next few years. It will grow to $3.94 billion in 2028 at a compound annual growth rate (CAGR) of 46.3%.

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AIOps For Telecom Operations Market Growth Fueled By Increasing Network Availability
The increasing network availability is expected to propel the growth of artificial intelligence for information technology (IT) operations (AIOps) in the telecom operations market going forward. Network availability refers to the percentage of time a network system remains fully operational over a specific period, typically measured over a year. The demand for network availability increases due to reliance on digital services, cloud migration, security measures, improved infrastructure, and the need for uninterrupted connectivity to support critical business operations. AIOps solutions can automatically discover abnormalities, identify potential difficulties, and predict future problems by analyzing massive volumes of data from network devices, logs, and metrics in real-time. For instance, in October 2022, according to the Mobile World Live (MWL) report, a UK-based online communications hub for the mobile industry in the United States, the adoption of 5G services among consumers surged to 61% in 2022, up from 43% in 2021. Therefore, the increasing network availability is driving the growth of artificial intelligence for information technology (IT) operations (AIOps) in the telecom operations market.

Innovative Solutions In AIOps for Telecom Operations
Major companies operating in the artificial intelligence for information technology operations (AIOps) for the telecom operations market are focused on developing innovative products, such as AI Anywhere, to optimize telecom operations. AI Anywhere provides a full-stack solution with pre-built tools, frameworks, and support for the responsible deployment of generative AI using proprietary data, ensuring precise deployment and end-to-end support for the generative AI lifecycle. For instance, in January 2024, Rackspace Technology Inc., a US-based cloud computing company, launched AI Anywhere, a private cloud platform based on artificial intelligence (AI) and machine learning (ML). These solutions are designed to enhance operational efficiency and address IT teams' challenges in managing complex data ecosystems within the telecom industry. By leveraging AI technologies like big data analytics and automation, AI Anywhere enables telecom service providers to optimize operations, predict outages, increase system performance, and enhance customer-facing services.

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

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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.

Contents of the report:
1. Executive Summary
2. Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market Report Structure
3. Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market Trends And Strategies
4. Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market - Macro Economic Scenario
5. Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market Size And Growth
…..
27. Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market Competitor Landscape And Company Profiles
28. Key Mergers And Acquisitions
29. Future Outlook and Potential Analysis
30. Appendix

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