Market Size –
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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Scope Of Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market
The Business Research Company’s reports encompass a wide range of information, including:
1. Market Size (Historic and Forecast): Analysis of the market’s historical performance and projections for future growth.
2. Drivers: Examination of the key factors propelling market growth.
3. Trends: Identification of emerging trends and patterns shaping the market landscape.
4. Key Segments: Breakdown of the market into its primary segments and their respective performance.
5. Focus Regions and Geographies: Insight into the most critical regions and geographical areas influencing the market.
6. Macro Economic Factors: Assessment of broader economic elements impacting the market.
Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market Overview
Market Drivers –
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.
Market Trends –
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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Regional Insights –
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.
Key Companies –
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.
Table of Contents
1. Executive Summary
2. Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market Characteristics
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. Global Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market Size and Growth
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31. Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market Other Major And Innovative Companies
32. Global Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market Competitive Benchmarking
33. Global Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market Competitive Dashboard
34. Key Mergers And Acquisitions In The Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market
35. Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market Future Outlook and Potential Analysis
36.Appendix
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