Global Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market Size Forecast 2024 - 2033
23 Dec, 2024
What Is The Scope Of The Global Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market?
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.
Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Global Market Report 2024 provides data on the global artificial intelligence for information technology operations (aiops) for telecom operations market such as market size, growth forecasts, segments and geographies, competitive landscape including leading competitors’ revenues, profiles and market shares. The artificial intelligence for information technology operations (aiops) for telecom operations market report identifies opportunities and strategies based on market trends and leading competitors’ approaches.
What Are The Forecasted Market Size And Growth Rates For Global Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations?
The AIOps for telecom operations market has experienced substantial growth in recent years, expanding from $0.59 billion in 2023 to $0.86 billion in 2024 at a CAGR of 45.8%. This historical growth is attributed to improved network availability, enhanced operational efficiency, increased use of cloud platforms by telecom companies, a growing emphasis on machine learning, and reduced operational costs. Looking ahead, the market is projected to grow exponentially, reaching $3.94 billion by 2028 at a CAGR of 46.3%. Key drivers of this growth include reduced operational expenses, automation of network and service operations, optimization in network planning, closed-loop operations for autonomous networks, and improved security through enhanced monitoring and compliance. Emerging trends include the integration of AI and machine learning, advancements in image recognition systems, the rapid deployment of 5G technology, the evolution of advanced machine learning models, and edge computing integration.
What Factors Are Driving Growth In The Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market?
The rising availability of networks is expected to accelerate the growth of artificial intelligence for IT operations (AIOps) in telecom operations. Network availability refers to the proportion of time a network remains operational over a given period, typically measured annually. The growing demand for network availability is driven by the increasing reliance on digital services, cloud adoption, security enhancements, improved infrastructure, and the need for seamless connectivity to support critical business functions. AIOps solutions can automatically detect irregularities, pinpoint potential issues, and forecast future problems by analyzing vast amounts of data from network devices, logs, and metrics in real-time. For example, in October 2022, a report from Mobile World Live indicated that 5G adoption in the US reached 61% in 2022, up from 43% in 2021. Thus, the expanding network availability is a key factor in the growth of AIOps in telecom operations.
Get Your Free Sample of the Global Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market ReportWhat Are The Main Segments Of The Global Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Market?
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
What Emerging Trends Are Influencing The Growth Of The Artificial Intelligence For Information Technology Operations (AIOps) For Telecom Operations Matket?
In the artificial intelligence for information technology operations (AIOps) for telecom operations market, companies are focusing on creating advanced products, such as AI Anywhere, to optimize telecom operations. AI Anywhere is a full-stack solution offering pre-built tools, frameworks, and support for deploying generative AI using proprietary data. For instance, in January 2024, Rackspace Technology, a US-based cloud computing company, launched AI Anywhere, a private cloud platform based on artificial intelligence (AI) and machine learning (ML). This platform enhances operational efficiency, addresses IT challenges in telecom data management, and enables service providers to optimize operations, predict outages, and improve customer-facing services.
What Is The Largest Region 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 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.