Overview and Scope
Artificial intelligence for IT operations (AIOps) for telecom operations refers to the process of using artificial intelligence (AI) capabilities, such as big data analytics, machine learning, and natural language processing, to automate and streamline IT service management and operational workflows within the telecommunications industry. It plays a crucial role in modernizing IT operations, improving efficiency, and enhancing the customer experience within the telecom sector.
Sizing and Forecast
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 growth in the historic period can be attributed to increase network availability, increase operational efficiency, increase in cloud platforms by various telecom companies, increase the importance of machine learning, reduction in operational expenses.
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%. The growth in the forecast period can be attributed to reduction in operational expenses, automation of network and service operations, network planning optimization, closed-loop operations for autonomous networks, enhanced security through improved monitoring and compliance. Major trends in the forecast period include integration of machine learning and artificial intelligence (AI), development of image recognition systems, rapid deployment of 5G technology emerges, advanced machine learning models, edge computing integration.
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Segmentation & Regional Insights
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
North America was the largest region in the artificial intelligence for IT operations (AIOps) for telecom operations market in 2023. 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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Major Driver Impacting Market Growth
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.
Key Industry Players
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.
The artificial intelligence for information technology operations (aiops) for telecom operations market report table of contents includes:
- Executive Summary
- Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market Characteristics
- Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market Trends And Strategies
- Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market – Macro Economic Scenario
- Global Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market Size and Growth
- Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market Segmentation
- Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market Regional And Country Analysis
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- Key Mergers And Acquisitions In The Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market
- Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market Future Outlook and Potential Analysis
- Appendix
List Of Tables:
Table 1: Global Historic Market Growth, 2018-2023, $ Billion
Table 2: Global Forecast Market Growth, 2023-2028F, 2033F, $ Billion
Table 3: Global Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
Table 4: Global Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market, Segmentation By Deployment Model, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
Table 5: Global Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
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Table 74: Amazon.com Inc. Financial Performance
Table 75: International Business Machines Corporation (IBM) Financial Performance
Table 76: Cisco Systems Inc. Financial Performance
Table 77: Broadcom SA Financial Performance
Table 78: Devo Technology Inc. Financial Performance
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