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What are the key drivers behind the artificial intelligence for information technology operations (aiops) for telecom operations market’s growth in recent years?
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.
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How does the future projection of the artificial intelligence for information technology operations (aiops) for telecom operations market size compare to its historical growth?
The artificial intelligence for information technology operations (AIOps) for telecom operations market size has grown exponentially in recent years. It will grow from $0.86 billion in 2024 to $1.26 billion in 2025 at a compound annual growth rate (CAGR) of 46.6%. 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 $5.76 billion in 2029 at a compound annual growth rate (CAGR) of 46.2%. 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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Which key players are shaping the future of 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.
What trends will propel the growth and evolution of 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 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. With leveraging AI technologies such as big data analytics and automation, AI Anywhere enables telecom service providers to optimize operations, predict outages, increase system performance, and enhance customer-facing services.
Which regions are expected to become dominant players in the artificial intelligence for information technology operations (aiops) for telecom operations market?
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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What are the emerging key segments in the artificial intelligence for information technology operations (aiops) for telecom operations market, and how are they evolving?
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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How is the artificial intelligence for information technology operations (aiops) for telecom operations market defined, and what are its core characteristics?
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.
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