AIOps for Telecom Operations Market Research Report – Segmented by Offering (Platform and Service); By Application (Infrastructure Management, Application Performance Analysis, Real-Time Analytics, Network & Security Management, Others); and Region- Size, Share, Growth Analysis | Forecast (2024 – 2030)

AIOps for Telecom Operations Market Size (2024 – 2030)

The AIOps for Telecom Operations Market was valued at USD 560 million in 2023 and is projected to reach a market size of USD 6.7 billion by the end of 2030. Over the forecast period of 2024-2030, the market is projected to grow at a CAGR of 42.7%.


A platform called artificial intelligence for IT operations (AIOps) is intended to use AI and machine learning techniques to automate tasks and processes with minimal human intervention. It uses a variety of algorithms to acquire, analyze, and analyze real-time IT performance data to provide actionable insights. It can be installed using built-in or software-defined infrastructure in standalone physical systems, as well as in on-premise, private and cloud settings. AIOps uses performance monitoring technology to collect and compile data, identify issues and trends, identify root causes, and report defects for rapid response and recovery. In addition, it is used for network, logging and application monitoring as well as capacity optimization.

To increase network availability, financial performance and cybersecurity attacks in cloud networks, AIOps is the core of the telecom infrastructure platform. AIOps is a critical technology that reduces operating costs and increases equity value and customer loyalty. The springboard for self-healing, hyper-scalability of resources and maximum automation is AI/ML. In this new place, the CSP can increase the number of services to the client from 1: 1,000 to 1: 50,000, double the number of new services 10, and start a new killer service in minutes rather than months. These performance metrics are data from the best hyperscale, fintech and cloud e-commerce companies over strategic planning. Media organizations use AIOps to monitor the behavior and transactions of employees, customers and remote companies, and to stop security breaches. As a result, the market is growing due to increasing acceptance of work from home (WFH) practices by companies. To improve information security when working remotely, AIOps is deployed. Another factor driving growth is the many technological developments in cloud services. For performance, network and security management of critical business applications, organizations are increasingly using cloud-based solutions. AIOps also helps telecom companies optimize infrastructure to deliver services efficiently. The market is expected to grow due to a number of other factors, including significant improvements in IT infrastructure, especially in economic development, and intensive research and development (R&D).

Key Market Insights:

The AIOps market for telecom services is undergoing a radical change caused by the increasing complexity of telecom networks, which is combined with 5G, IoT devices and advanced services. AIOps solutions in this category are critical to managing and improving network performance, providing proactive problem solving through predictive analytics to identify and resolve potential problems before they affect operations. The focus is on operational efficiencies gained through job automation, particularly in regular network monitoring and incident response. Real-time analysis plays a central role, enabling faster decision-making under dynamic network conditions. Seamless integration with existing systems is key to a successful implementation, enabling smooth transitions without disrupting ongoing operations. AIOps helps reduce costs by optimizing resource utilization and avoiding costly incidents, while addressing security issues through improved monitoring and compliance. A diverse range of vendors, with established IT vendors and specialist AIOps providers providing solutions. Leveraging machine learning and predictive analytics, AIOps analyzes historical data to predict potential challenges, making it an essential tool for telcos navigating changing network configurations.

AIOps for Telecom Operations Market Drivers:

AIOps helps increase operational efficiency, which is one of the main reasons why telecom companies are adopting this technology.

Artificial Intelligence for IT Operations (AIOps) is a platform that uses AI and analytics to improve IT operations and provide services to many companies. This platform analyzes large amounts of data collected from various IT service providers and tools that slowly solve problems. In addition, it provides an information collection system, innovative and intuitive features, and the use of different information components. The platform also offers various IT training and analytical skills, directly and transparently. Artificial intelligence for IT operations can be flexible and centralized, making it possible to analyze the amazing information constantly provided by the computer algorithmic power of ML. AIOps systems provide multi-level and multi-functional capabilities for innovative use, including information processing and capabilities, representation, scientific applications, and contracts and various applications. The factors mentioned above are promoting its adoption and may influence the market of AIOps platforms in the telecom sector.

Cloud Platform Growth are resulting in rapid Market Expansion

The need for an AIOps platform has increased due to the increase in cloud platforms by various telecom companies, which has accelerated the growth. The AIOps platform combines various artificial intelligence techniques, including automation, machine learning, search and more. Machine learning technology is currently used in a variety of systems used in the media industry, including streaming systems, image recognition systems, and voice recognition systems. The importance of machine learning has increased due to this growing application. In addition, the development of image recognition systems has improved the accuracy of the system, which will increase the importance of machine learning in the coming years.

AIOps for Telecom Operations Market Restraints and Challenges:

Delays among telecom operators to adopt AIOps solutions may hamper market growth.

Compared to other sectors of the economy, the telecommunications sector has been slow to receive automation. The financial results of the CSP have been directly affected by the resistance to renewable energy to benefit from cheap intelligence. Traditional businesses have been impacted by AI-tested business models used by natural cloud infrastructure, fintech and digital business providers. In the communications sector, cloud service providers have captured market share in key communications areas, including mobile content, cloud computing and edge computing. Cloud providers can beat traditional telecom providers in operational performance metrics, due to the increased scalability of networks and AI automation applications. This is partly because technology is now replacing labor, which has high input costs, in the business process.

AIOps for Telecom Operations Market Opportunities:

The AIOps market for telecom operations is full of opportunities fueled by transformational technology integration. The advent of 5G, along with the proliferation of IoT devices, is creating demand for advanced network management solutions. AIOps, with its predictive analytics and automation capabilities, empowers telecom operators to optimize networks, ensure seamless 5G deployment and manage IoT devices efficiently. The ability to identify and resolve issues improves network reliability, a key differentiator in competitive markets. In addition, AIOps enables operational efficiency through job automation, paving the way for cost savings. A focus on data security and AIOps situational awareness as a solution to address critical concerns in the telecommunications industry. Time management allows employees to make quick and informed decisions, promotes economies of scale and creates personalized service offerings, thus opening up different opportunities for innovation and growth in the work of telecommunications.




Market Size Available

2023 - 2030

Base Year


Forecast Period

2024 - 2030



Segments Covered

By Offering, Application, and Region

Various Analyses Covered

Global, Regional & Country Level Analysis, Segment-Level Analysis, DROC, PESTLE Analysis, Porter’s Five Forces Analysis, Competitive Landscape, Analyst Overview on Investment Opportunities

Regional Scope

North America, Europe, APAC, Latin America, Middle East & Africa

Key Companies Profiled


AIOps for Telecom Operations Market Segmentation: By Offering

  • Platform

  • Service

Based on the offering, AIOps for the telecom market is divided into platforms and services. In 2023, AI operations for IT operations (AIOps) for the telecommunications market are part of the platform providers that brought more than 85% of the global revenue. AIOps providers provide organizations with a reliable, scalable, and experienced platform to give them a competitive edge in the market. Its economic benefits, including better decision-making, rapid digital transformation, efficient data processing, and built-in capabilities, are expected to result from this significant market share. The organizational requirements for AIOps systems are largely driven by automation. In addition, it facilitates the import of interactive analysis, which helps to identify the source of IT infrastructure problems so that they can be solved effectively.

AIOps for Telecom Operations Market Segmentation: By Application

  • Infrastructure Management

  • Application Performance Analysis

  • Real-Time Analytics

  • Network & Security Management

  • Others

Based on application, AIOps for telecom market is segmented into infrastructure management, application performance analysis, real-time analysis, network management and security and others. With a share of 30.0% of the global market, the real-time scanning device category is expected to dominate the market. This significant ratio can be combined with the use of the existing level of the existing growing team to gain competitive insight. Real-time analysis provides businesses with a data-driven approach to finding, prioritizing, diagnosing and solving problems or issues. During this policy period, it is expected that the resource management sector will see a significant increase. This expansion can be attributed to the rapid adoption of AI in demand for IT infrastructure.



AIOps for Telecom Operations Market Segmentation: Regional Analysis

  • North America

  • Asia-Pacific

  • Europe

  • South America

  • Middle East and Africa

By region, the AIOps for telecom services market is segmented into North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa. During the forecast period, North America is expected to dominate the global AIOps platform market due to the presence of several prominent companies. The AIOps platform market is also supported by growing government efforts for regional development of AIOPs systems. By introducing initiatives such as the National Intelligence Research and Development Program and the Smart City program in many regions, they are currently promoting IT infrastructure. During the forecast period, the Asia-Pacific region is expected to expand significantly. This can be attributed to the fact that the media sector in the region has been very quick to adopt. Data analysis and other AI-based products and services have also been made easier by generating data faster and at larger scale.

The Asia Pacific region offers an excellent range of opportunities in AIOps for the telecom operations market. As countries in the region continue to experience significant increases in telecommunications infrastructure and technology adoption, the demand for advanced network management solutions, such as AIOps, is increasing. With the introduction of 5G networks and the proliferation of IoT devices, telecom operators in the Asia-Pacific region can implement AIOps to improve network performance, ensure seamless integration of technology, and proactively resolve issues to improve reliability. The dynamic and diverse nature of the Asia-Pacific communications market opens the way for new service offerings, improvements in operational efficiency, and opportunities for operators to gain competitive advantage by leveraging AIOps capabilities. As the sector continues to be at the forefront of technological advancements, the adoption of AIOps provides an important way for telecom operators to navigate and take advantage of the changing opportunities in telecom services.

COVID-19 Impact Analysis on the AI Image Generator Market:

The AIOps market has been significantly affected by the COVID-19 pandemic. The announcement of the government's lockdown in this area has led to a dramatic increase in the use of AIOps platforms to respond to questions across various industries, including healthcare, BFSI, retail and e-commerce. In addition, the AIOps platform has helped many companies create reliable remote work environments. About 54% of businesses have resorted to remote work in response to COVID-19, according to the IBM Security 2020 report. The need for an AIOps platform is growing exponentially due to the high demand for cloud-based solutions brought about by the pandemic.

Latest Trends/ Developments:

The AIOps landscape for Telecom Operations is witnessing dynamic developments, with a focus on leveraging artificial intelligence for enhanced efficiency and performance. Recent trends include a heightened emphasis on AI-driven predictive maintenance to proactively address network issues, particularly in the context of the expanding 5G networks. Integration with edge computing is gaining prominence, ensuring real-time analytics at the network edge. Security features are evolving to combat cybersecurity threats, with advanced threat detection and compliance monitoring becoming integral to AIOps solutions. The industry is also moving towards autonomous operations, where AIOps systems take on more decision-making processes independently. Cloud-native AIOps solutions are anticipated to provide greater scalability and flexibility, aligning with the broader trend of cloud adoption. Explainability and transparency in AI decision-making, integration with DevOps practices, and a continual focus on innovation characterize the latest trends, reflecting the industry's commitment to optimizing Telecom Operations through cutting-edge AIOps solutions.

Key Players:











  11. VMWARE, INC.

  • In February 2022 - Global digital transformation and communications leader MetTel announced in February 2022 that it will offer its customers a fully managed secure access service solution powered by VMware SASE. SASE solutions will enable IT organizations to deploy networking, cloud security, and computing capabilities to applications running at the edge.

  • In August 2022, Rackspace Technologies introduced Rackspace Fabric, which integrates Moogsoft AIOps systems that use log, measure, trace and alert data to apply artificial intelligence (AI) and machine learning (ML) to help manage IT programs faster and more efficiently.

Chapter 1. AIOps for Telecom Operations Market – Scope & Methodology
1.1    Market Segmentation
1.2    Scope, Assumptions & Limitations
1.3    Research Methodology
1.4    Primary Sources
1.5    Secondary Sources 
Chapter 2. AIOps for Telecom Operations Market – Executive Summary
2.1    Market Size & Forecast – (2024 – 2030) ($M/$Bn)
2.2    Key Trends & Insights
               2.2.1    Demand Side
               2.2.2    Supply Side
2.3    Attractive Investment Propositions
2.4    COVID-19 Impact Analysis 
Chapter 3. AIOps for Telecom Operations Market – Competition Scenario
3.1    Market Share Analysis & Company Benchmarking
3.2    Competitive Strategy & Development Scenario
3.3    Competitive Pricing Analysis
3.4    Supplier-Distributor Analysis 
Chapter 4. AIOps for Telecom Operations Market - Entry Scenario
4.1    Regulatory Scenario
4.2    Case Studies – Key Start-ups
4.3    Customer Analysis
4.4    PESTLE Analysis
4.5    Porters Five Force Model
               4.5.1    Bargaining Power of Suppliers
               4.5.2    Bargaining Powers of Customers
               4.5.3    Threat of New Entrants
               4.5.4    Rivalry among Existing Players
               4.5.5    Threat of Substitutes 
Chapter 5. AIOps for Telecom Operations Market – Landscape
5.1    Value Chain Analysis – Key Stakeholders Impact Analysis
5.2    Market Drivers
5.3    Market Restraints/Challenges
5.4    Market Opportunities 
Chapter 6. AIOps for Telecom Operations Market – By Offering
6.1    Introduction/Key Findings   
6.2    Platform
6.3    Service
6.4    Y-O-Y Growth trend Analysis By Offering
6.5    Absolute $ Opportunity Analysis By Offering, 2024-2030 
Chapter 7. AIOps for Telecom Operations Market – By Application
7.1    Introduction/Key Findings   
7.2    Infrastructure Management
7.3    Application Performance Analysis
7.4    Real-Time Analytics
7.5    Network & Security Management
7.6    Others
7.7    Y-O-Y Growth  trend Analysis By Application
7.8    Absolute $ Opportunity Analysis By Application, 2024-2030  
Chapter 8. AIOps for Telecom Operations Market , By Geography – Market Size, Forecast, Trends & Insights
8.1    North America
               8.1.1    By Country
               8.1.2    By Offering
               8.1.3    By Application
               8.1.4    Countries & Segments - Market Attractiveness Analysis
8.2    Europe
               8.2.1    By Country
                        Rest of Europe
               8.2.2    By Offering
               8.2.3    By Application
               8.2.4    Countries & Segments - Market Attractiveness Analysis
8.3    Asia Pacific
               8.3.1    By Country
                        South Korea
                        Australia & New Zealand
                        Rest of Asia-Pacific
               8.3.2    By Offering
               8.3.3    By Application
               8.3.4    Countries & Segments - Market Attractiveness Analysis
8.4    South America
               8.4.1    By Country
                        Rest of South America
               8.4.2    By Offering
               8.4.3    By Application
               8.4.4    Countries & Segments - Market Attractiveness Analysis
8.5    Middle East & Africa
               8.5.1    By Country
                        United Arab Emirates (UAE)
                        Saudi Arabia
                        South Africa
                        Rest of MEA
               8.5.2    By Offering
               8.5.3    By Application
               8.5.4    Countries & Segments - Market Attractiveness Analysis 
Chapter 9. AIOps for Telecom Operations Market – Company Profiles – (Overview, Product Portfolio, Financials, Strategies & Developments)
9.10    SPLUNK INC.
9.11    VMWARE, INC.


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Frequently Asked Questions

The AIOps for Telecom Operations Market was valued at USD 560 million in 2023 and is projected to reach a market size of USD 6.7 billion by the end of 2030. Over the forecast period of 2024-2030, the market is projected to grow at a CAGR of 42.7%.

AIOps aid in increasing operational efficiency which is a major reason for telecom companies adopting this technology

Based on Offering, the AIOps for Telecom Operations Market is segmented into Platform and Service.

North America is the most dominant region for the AIOps for Telecom Operations Market.

Appdynamics, Bmc Software, Inc., Broadcom, Hcl Technologies Limited, International Business Machines Corporation, Micro Focus, Moogsoft, Prophetstor Data Services, Inc., Resolve Systems, Splunk Inc., Vmware, Inc

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