AIOps Platform Market

Market Definition

AIOps platforms use artificial intelligence and machine learning to automate IT operations and enhance decision-making. They consolidate data from multiple sources to monitor performance, detect anomalies, and predict issues.

These platforms are deployed across various industries such as BFSI, healthcare, IT & telecom, retail, and manufacturing to optimize application performance, infrastructure, network, and security management. Organizations implement them to improve operational efficiency, enable real-time analytics, and support strategic IT decision-making across enterprises of all sizes.

AIOps Platform Market Overview

The global AIOps platform market size was valued at USD 11.23 billion in 2024 and is projected to grow from USD 13.43 billion in 2025 to USD 57.91 billion by 2032, exhibiting a CAGR of 23.21% during the forecast period. This growth is fueled by the growing demand for reduced IT complexity and enhanced user experiences across client-to-cloud environments. 

Organizations are adopting solutions that automate routine tasks, monitor performance, and provide predictive insights to simplify IT operations. The shift toward unified AIOps and observability platforms is further influecing the market, as enterprises adopt integrated solutions for IT and business transformation.

Key Highlights:

1. The AIOps platform industry size was recorded at USD 11.23 billion in 2024.
2. The market is projected to grow at a CAGR of 23.21% from 2025 to 2032.
3. North America held a share of 46.00% in 2024, valued at USD 5.16 billion.
4. The platforms segment garnered USD 9.21 billion in revenue in 2024.
5. The on-premises segment is expected to reach USD 25.21 billion by 2032.
6. The large enterprises segment is projected to generate a revenue of USD 37.45 billion by 2032.
7. The application performance management segment is expected to reach USD 25.34 billion by 2032.
8. The IT & telecom segment is likely to reach USD 18.70 billion by 2032.
9. Asia Pacific is anticipated to grow at a CAGR of 19.65% over the forecast period.

Major companies operating in the AIOps platform market are Dynatrace LLC, New Relic, Inc., Datadog, Cisco Systems, Inc., ServiceNow, IBM, Elasticsearch B.V., BigPanda, PagerDuty, Inc., ScienceLogic, LogicMonitor, Dell Inc., QUINNOX, Zoho Corporation Pvt. Ltd., and Zenoss Inc.

Market growth is propelled by the increasing adoption of platforms that leverage generative, predictive, and agentic AI to automate complex IT operations. These platforms can analyze large volumes of data, identify patterns, and generate actionable insights without constant human intervention. Enterprises benefit from improved incident response, proactive problem resolution, and optimized resource utilization. 

The integration of these advanced AI capabilities enables organizations to enhance operational efficiency, maintain system reliability, and support strategic decision-making across hybrid and multi-cloud environments.

• In April 2025, Riverbed launched its next-generation Riverbed Platform, integrating generative, predictive, and agentic AI into its AIOps solutions. The update added new data observability modules for unified communications, network packet capture, and Intel Thunderbolt and Wi-Fi devices. The platform enables IT teams to automate tasks, detect anomalies, and optimize performance across client-to-cloud environments, while providing real-time insights and predictive remediation.

Market Driver

Growing Demand for Reduced IT Complexity

The expansion of the AIOps platform market is driven by the growing demand for reduced IT complexity and enhanced user experiences across client-to-cloud environments. Organizations are seeking solutions that can automate routine IT tasks, monitor performance across distributed systems, and detect anomalies before they impact operations. 

This capability reduces downtime, accelerates incident resolution, and improves overall service reliability. Enterprises benefit from seamless integration between on-premises and cloud environments, which allows IT teams to focus on strategic initiatives, optimize resource utilization, and deliver consistent, high-quality experiences to end users.

• In August 2025, HPE announced major innovations to its Juniper Networking portfolio, advancing the AI-native Mist platform with agentic AIOps. Updates included agentic AI-powered troubleshooting, expanded self-driving actions, a generalized Large Experience Model (LEM), and new AIOps features for data centers. These advancements support proactive network operations, real-time problem-solving, and predictive issue resolution across client-to-cloud environments. HPE also expanded digital experience twinning and integrated AI agents to optimize IT workflows, improve operational efficiency, and enhance user experiences.

Market Challenge

Data Security and Privacy Concerns

A major challenge hindering the progress of the AIOps platform market is growing concerns over data security and privacy. Enterprises process sensitive information across on-premises, cloud, and hybrid environments, and AI-driven operations, increasing the risk of breaches. This slows adoption, as organizations seek reliable safeguards before implementation. 

To overcome this challenge, companies are adopting strong encryption, secure access controls, and compliance with international data protection regulations. They are also investing in advanced cybersecurity measures and regular audits to ensure safe and efficient platform operations.

Market Trend

Transition to Unified AIOps and Observability Platforms

The AIOps platform market is experiencing a notable shift toward unified AIOps and observability platforms that support IT and business transformation. Organizations are adopting integrated solutions that combine monitoring, analytics, and automation across on-premises, cloud, and hybrid environments. 

These platforms provide end-to-end visibility, enabling IT teams to detect anomalies, predict issues, and optimize performance in real time. They help align IT operations with business objectives, improve decision-making, enhance service reliability, increase operational efficiency, and drive digital transformation across all functions.

• In August 2025, Digitate announced the native integration of OpenTelemetry into its ignio platform, creating a unified AIOps and observability solution. The platform combines open-source data collection standards with AI-driven insights and automated remediation to enable autonomous IT and business operations. Digitate’s solution addresses tool sprawl, fragmented visibility, and high operational costs by providing end-to-end observability across cloud, on-premises, and hybrid environments.

AIOps Platform Market Report Snapshot

Market Segmentation

• By Component (Platforms and Services): The platforms segment earned USD 9.21 billion in 2024, mainly due to growing adoption of AI-driven IT operations and surging demand for automation in complex enterprise environments.
• By Deployment Mode (On-Premises and Cloud): The on-premises segment held a substantial share of 56.00% in 2024, propelled by strict data security requirements and regulatory compliance.
• By Organization Size (Small and Medium Enterprises (SMEs) and Large Enterprises): The small and medium enterprises (SMEs) segment is projected to reach USD 20.45 billion by 2032, owing to increased digital transformation initiatives and the need for automated solutions amid limited IT staff.
• By Application (Application Performance Management, Infrastructure Management, Network and Security Management, Real-Time Analytics, and Others): The application performance management segment is projected to reach USD 25.34 billion by 2032, owing to rising demand for real-time monitoring and predictive analytics across IT infrastructures.
• By Vertical (BFSI, IT & Telecom, Healthcare and Life Sciences, Retail and E-commerce, Manufacturing, Government, Energy and Utilities, and Others): The BFSI segment held a share of 31.00% in 2024, due to high reliance on automated operations for risk management, fraud detection, and service optimization.

AIOps Platform Market Regional Analysis

Based on region, the market has been classified into North America, Europe, Asia Pacific, Middle East & Africa, and South America.

North America AIOps platform market share stood at 46.00% in 2024, valued at USD 5.16 billion. This dominance is reinforced by strong IT infrastructure and technological advancements that enable enterprises to adopt advanced AI-driven IT operations rapidly. 

The region's established digital ecosystems, extensive cloud adoption, and skilled IT workforce facilitate large-scale AIOps deployment. Continuous innovation and high investment in AI technologies further support regional market expansion.

• In January 2024, Juniper Networks launched its AI-Native Networking Platform, delivering end-to-end network assurance and improved user experiences. The platform integrates AI-driven automation, Marvis Virtual Network Assistant, and digital experience twins to provide proactive troubleshooting, predictive insights, and simplified IT operations across campus, branch, and data center networks. It helps reduce operational costs, minimize network incidents, and accelerate fault resolution.

Asia Pacific is poised to grow at a significant CAGR of 19.65% over the forecast period. This growth is stimulated by increasing digital transformation initiatives and rapid adoption of cloud-based IT solutions in emerging economies such as India. 

Rising enterprise investments in AI and automation to optimize operations contribute to strong demand for AIOps platforms. Expanding IT infrastructure and growing awareness of operational efficiency benefits further fuel regional market expansion.

Regulatory Frameworks

• In the U.S., the National Institute of Standards and Technology (NIST) regulates AI technologies, including AIOps platforms, under its AI Risk Management Framework. It provides guidelines for governance, transparency, and risk assessment to ensure responsible deployment.
• In Europe, the European Commission regulates AI systems under the Artificial Intelligence Act. The Act categorizes AI based on risk levels and mandates compliance with transparency, accountability, and human oversight requirements.
• In Japan, the Ministry of Economy, Trade and Industry (METI) regulates AI systems under the AI Governance Guidelines. These guidelines focus on transparency, accountability, safety, and human-centered deployment.
• In India, the Securities and Exchange Board of India (SEBI) regulates AI usage in financial services, including AIOps platforms, under its proposed five-point framework. It covers model governance, transparency, monitoring, fairness, and data security.

Competitive Landscape

Key players operating in the AIOps platform industry are focusing on strategic initiatives to strengthen their competitive positions and broaden service offerings. They are actively forming partnerships and collaborations with technology providers to enhance platform capabilities, integrate advanced AI features, and improve interoperability across IT systems. 

Companies are prioritizing geographic expansion to enter emerging markets, establish regional presence, and capture new customer segments. Additionally, they are focusing on continuous product innovation, solution upgrades, and tailored offerings to maintain differentiation and address evolving enterprise IT requirements effectively.

• In August 2025, ITOCHU Techno-Solutions Corporation announced the North American launch of StageCrew, its proprietary AIOps cloud service, through a licensing agreement with Technologent. The service aims to streamline IT development and operations for organizations adopting DevOps and SRE principles, using AI-driven automation for anomaly detection, performance analysis, and standardized incident response.

Key Companies in AIOps Platform Market:

• Dynatrace LLC
• New Relic, Inc.
• Datadog
• Cisco Systems, Inc.
• ServiceNow
• IBM
• Elasticsearch B.V.
• BigPanda
• PagerDuty, Inc.
• ScienceLogic
• LogicMonitor
• Dell Inc.
• QUINNOX
• Zoho Corporation Pvt. Ltd.
• Zenoss Inc.

Recent Developments (Expansion/ Product Launch)

• In August 2025, ScienceLogic updated its AI Platform and Skylar AI Suite, enhancing automation, observability, and proactive IT management. Key additions include Skylar Analytics for advanced data visualization, anomaly detection, and predictive alerting, FedRAMP-certified Government Cloud for secure federal adoption, NVIDIA GPU Monitoring for real-time high-performance compute insights, and a low-code Dynamic Application Builder for custom monitoring.
• In May 2024, Datadog launched IT Event Management, enhancing its AIOps capabilities with AI-powered event correlation. The solution consolidates alerts from Datadog and third-party tools into a unified view, reducing alert fatigue and enabling faster issue remediation.
• In March 2024, Hewlett Packard Enterprise expanded the AIOps capabilities of its HPE Aruba Networking Central platform by integrating multiple generative AI (GenAI) Large Language Models. The new GenAI functionality enhances AI Search with faster, more accurate insights while ensuring data privacy through sandboxed, purpose-built models.