Artificial Intelligence for Information Technology Operations (AIOps) for Telecom Operations Global Market Report 2024

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 observed during the historic period can be attributed to several factors, including increased network availability, enhanced operational efficiency, the proliferation of cloud platforms adopted by various telecom companies, the growing significance of machine learning technologies, and a 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 anticipated growth in the forecast period can be attributed to several factors, including a reduction in operational expenses, the automation of network and service operations, optimization of network planning, implementation of closed-loop operations for autonomous networks, and enhanced security through improved monitoring and compliance measures. Key trends expected during this period include the integration of machine learning and artificial intelligence (AI) technologies, development of image recognition systems, rapid deployment of 5G technology, advancements in machine learning models, and integration of edge computing technologies.

The telecom operations market is poised for growth fueled by the increasing availability of network infrastructure, driving demand for artificial intelligence for information technology operations (AIOps). Network availability, indicating the duration a network system remains operational, is vital for supporting digital services, cloud migration, security measures, and uninterrupted connectivity essential for critical business functions. AIOps solutions leverage real-time analysis of massive data volumes from network devices, logs, and metrics to detect abnormalities, forecast potential issues, and ensure optimal performance. According to Mobile World Live (MWL) report, consumer adoption of 5G services surged to 61% in 2022 from 43% in 2021, underscoring the importance of network availability in driving the growth of AIOps in the telecom operations market.

Key players in the AIOps for telecom operations market are focused on innovation to optimize operational efficiency. Products such as AI Anywhere, developed by major companies, offer comprehensive solutions with pre-built tools and frameworks for deploying generative AI responsibly. For instance, in January 2024, Rackspace Technology Inc. introduced AI Anywhere, a private cloud platform powered by AI and machine learning. This solution addresses the telecom industry's challenges in managing complex data ecosystems, enhancing operational efficiency through big data analytics and automation.

In September 2023, in a strategic move to bolster its capabilities in AI-driven operations, Cisco Systems Inc. acquired Splunk Inc. for $28 billion. This acquisition aims to unite the strengths of Cisco Systems and Splunk Inc. to enhance organizations' security and resilience in an AI-powered environment. Splunk Inc., renowned for its AIOps solutions leveraging big data, analytics, and machine learning, complements Cisco Systems' vision of delivering innovative solutions and addressing evolving customer needs in the 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.

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.

The countries covered in the artificial intelligence for information technology operations (AIOps) for telecom operations market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Artificial intelligence for IT operations (AIOps) for telecom operations involves leveraging AI capabilities such as big data analytics, machine learning, and natural language processing to automate and optimize IT service management and operational workflows within the telecommunications industry. This approach plays a vital role in modernizing IT operations, enhancing efficiency, and improving the overall customer experience within the telecom sector.

The primary offerings of Artificial Intelligence for Information Technology Operations (AIOps) for telecom operations include platforms and services. AIOps platforms for telecom operations are technology solutions that utilize artificial intelligence (AI) and machine learning (ML) algorithms to improve and automate IT operations within the telecommunications sector. These platforms can be deployed via on-premise or cloud models and are utilized for various purposes such as infrastructure management, application performance analysis, real-time analytics, network and security management, among other applications.

The artificial intelligence for information technology operations (AIOps) for telecom operations market research report is one of a series of new reports that provides artificial intelligence for information technology operations (AIOps) for telecom operations market statistics, including artificial intelligence for information technology operations (AIOps) for telecom operations industry global market size, regional shares, competitors with an artificial intelligence for information technology operations (AIOps) for telecom operations market share, detailed artificial intelligence for information technology operations (AIOps) for telecom operations market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence for information technology operations (AIOps) for telecom operations industry. This artificial intelligence for information technology operations (AIOps) for telecom operations market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The artificial intelligence for information technology operations (AIOps) for telecom operations market consists of revenues earned by entities by providing services such as anomaly detection, root cause analysis, automated remediation, performance optimization, security monitoring, and threat detection. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence for information technology operations (AIOps) for telecom operations market also includes sales of servers, storage systems, networking equipment, accelerators, sensors, IoT devices, edge computing devices, security hardware and monitoring tools. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.


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