The AIOps Platforms Market is projected to expand from $10.4 billion in 2023 to $50.1 billion by 2030, with a CAGR of 25.2%.
Real-time analytics enable AIOps platforms to detect anomalies, patterns, and deviations in data as they occur. This immediate detection allows businesses to identify and address issues promptly, preventing potential disruptions or performance degradation. AIOps platforms with real-time analytics capabilities facilitate proactive incident management by providing early warnings and alerts. This enables IT teams to address issues before they impact business operations, minimizing downtime and ensuring a seamless user experience.
Real-time analytics of IT infrastructure provide businesses with a continuous and up-to-the-minute view of their IT infrastructure and applications. This enhanced visibility allows organizations to understand the current state of operations and respond swiftly to changing conditions. AIOps platforms leverage real-time analytics to optimize the performance and availability of critical systems and applications. Businesses can identify and resolve performance bottlenecks, ensuring that services meet or exceed performance expectations.
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As IT environments become increasingly complex with a mix of on-premise, cloud, and hybrid infrastructure, AIOps provides a solution to manage and monitor these diverse components seamlessly. The ability of AIOps to analyze and correlate data from various sources helps in simplifying operations. AIOps enables real-time monitoring of infrastructure components, applications, and services. Real-time analytics help in detecting anomalies, identifying performance bottlenecks and responding promptly to incidents, contributing to improved overall system reliability.
The growth of infrastructure management using AIOps is fueled by the need for efficient, scalable, and intelligent solutions to navigate the complexities of modern IT environments. AIOps empowers organizations to streamline operations, optimize performance, and proactively manage their infrastructure to meet the demands of the digital era.

North American enterprises are actively pursuing digital transformation initiatives to stay competitive and innovative. AIOps play a crucial role in supporting these initiatives by providing the intelligence and automation needed to optimize IT operations and drive efficiency. North America is home to many large enterprises with extensive IT infrastructure. AIOps platforms are well-suited for managing the scale and complexity of operations in these organizations, providing advanced analytics, automation, and insights to optimize performance.
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Additionally, North American businesses are making substantial investments in artificial intelligence and machine learning. AIOps leverages these technologies to deliver intelligent insights, automated workflows, and adaptive responses in the context of IT operations. The region is estimated to capture a major share of the global market in 2023.
Major players operating in the global AIOps platform market are BMC Software, Broadcom, Cisco, Dynatrace, Elastic, HCL, IBM, Interlink Software, Micro Focus, Moogsoft, NTT Data, OpenText, and SolarWinds. Additionally, Autointelli, BigPanda, CloudFabrix, ManageEngine, Netreo, New Relic, PagerDuty, ProphetStor, Resolve, Sumo Logic, and Zoho are emerging companies in the market.
These players are adopting organic and inorganic strategies to expand their business. Some of the important developments in the recent past are mentioned below:
- In November 2023, Kyndryl, the world’s largest IT infrastructure services provider, and Dynatrace, the leader in unified observability and security, announced a global alliance to provide customers with joint offerings to enhance insights and inform business decisions. Under the alliance, Kyndryl and Dynatrace will collaborate to provide customers with enhanced AIOps.
- In May 2023, NTT Data announced SPEKTRA (Sentient Platform for Network Transformation) as the next generation of its global services platform for NTT Managed Networks solutions. It encapsulates the company’s vision for a fully autonomous Network Operations Center (NOC) leveraging AIOps, predictive analytics, and automation techniques, leading to strengthened network performance and reliability, enhanced monitoring capabilities, and improved operational efficiency.
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