Artificial Intelligence for IT Operations (AIOps) Market Forecasts to 2030 – Global Analysis By Component (Solutions, Services and Other Components), Deployment Type, Organization Size, Application, End User and By Geography

Artificial Intelligence for IT Operations (AIOps) Market Forecasts to 2030 – Global Analysis By Component (Solutions, Services and Other Components), Deployment Type, Organization Size, Application, End User and By Geography


According to Stratistics MRC, the Global Artificial Intelligence for IT Operations (AIOPS) Market is accounted for $4.99 billion in 2024 and is expected to reach $23.00 billion by 2030 growing at a CAGR of 29% during the forecast period. Artificial Intelligence for IT Operations (AIOps) refers to the use of artificial intelligence, machine learning, and big data analytics to enhance and automate IT operations. AIOps platforms enable real-time data analysis, event correlation, anomaly detection, and automated incident response. By collecting and analyzing vast amounts of IT data, AIOps helps organizations optimize system performance, predict and resolve issues proactively, reduce downtime, and improve operational efficiency, all while minimizing manual intervention in increasingly complex IT environments.

Market Dynamics:

Driver:

Growing adoption of cloud computing and hybrid infrastructures

The growing adoption of cloud computing and hybrid infrastructures is because traditional IT management tools struggle to handle this complexity, making AIOps essential. AIOps platforms leverage AI and machine learning to process and analyze data across cloud and on-premises systems in real-time, providing actionable insights, automating tasks, and predicting potential issues. This enhances the performance, scalability, and efficiency of IT operations, driving the demand for AIOps as organizations transition to hybrid and cloud-based infrastructures, fuelling the growth of the market.

Restraint:

Limited understanding and awareness of AIOps benefits

Limited understanding and awareness of AIOps benefits many organizations, particularly small and medium-sized enterprises (SMEs), may not fully grasp how AIOps can enhance IT performance, automate processes, and reduce operational costs. This lack of knowledge creates scepticism and reluctance to invest in AIOps solutions. Additionally, without clear visibility into the long-term ROI, businesses may hesitate to adopt AIOps, leading to missed opportunities for automation, efficiency gains, and competitive advantage. Consequently, market growth is constrained.

Opportunity:

Increased focus on cybersecurity

The cybersecurity threats grow in complexity, traditional security measures struggle to keep pace. AIOps enhances cybersecurity by leveraging AI and machine learning to detect anomalies, predict potential breaches, and automate responses, ensuring faster incident resolution. By analyzing vast amounts of security data in real-time, AIOps helps organizations proactively defend against attacks, improve threat visibility, and strengthen their overall security posture, accelerating the adoption of AIOps solutions.

Threat:

Rapid technological change

Rapid technological change and new algorithms, tools, and platforms are frequently introduced, making it difficult for companies to maintain up-to-date AIOps solutions. Vendors need to invest heavily in R&D to stay competitive, which can be resource-intensive. Additionally, rapid changes may lead to interoperability issues with existing IT systems, increasing the complexity of integration and adoption. These dynamics can also overwhelm smaller vendors and create uncertainty for potential buyers.

Covid-19 Impact

The COVID-19 pandemic accelerated the adoption of AIOps as businesses increasingly relied on digital infrastructures due to remote work and heightened online activity. The surge in IT workloads and complexity drove demand for automated solutions to ensure operational continuity and efficiency. AIOps became essential for managing cloud environments, optimizing system performance, and resolving issues proactively. However, economic uncertainty delayed some investments, particularly in small to mid-sized businesses, creating mixed effects on the market's overall growth trajectory.

The services segment is expected to be the largest during the forecast period

The services segment is estimated to have a lucrative growth, by providing essential support for implementation, integration, and ongoing management of AIOps solutions. Consulting services help organizations assess their needs and design tailored AIOps strategies, ensuring effective deployment. Managed services enhance operational efficiency by offering continuous monitoring, maintenance, and optimization of AIOps platforms. As organizations increasingly seek to maximize the benefits of AIOps, the demand for specialized services drives market growth and adoption.

The government segment is expected to have the highest CAGR during the forecast period

The government segment is anticipated to witness the highest CAGR growth during the forecast period, due to increased adoption AI-driven solutions to enhance efficiency and responsiveness in public services. Governments utilize AIOps for monitoring IT infrastructure, optimizing resource allocation, and improving cybersecurity measures. Additionally, government regulations and funding for AI research and development create a favourable environment for AIOps adoption, leading to increased investments and collaboration with private sector vendors, thereby driving market growth.

Region with largest share:

Asia Pacific is projected to hold the largest market share during the forecast period driven by the increasing adoption of digital transformation initiatives across various industries. Countries like China, India, and Japan are witnessing significant investments in cloud computing, big data, and AI technologies, which enhance IT efficiency and agility. The rising complexity of IT environments and the need for proactive incident management further fuel demand for AIOps solutions. Additionally, government support for AI innovation and smart city initiatives is accelerating market growth, positioning Asia Pacific as a key player in the AIOps landscape.

Region with highest CAGR:

North America is projected to have the highest CAGR over the forecast period, owing to the presence of leading technology companies and extensive IT infrastructure. High adoption rates of cloud computing, big data analytics, and digital transformation initiatives fuel demand for AIOps solutions among enterprises seeking to optimize operations and enhance service delivery. Additionally, increasing cyber threats and regulatory compliance requirements prompt organizations to invest in AIOps for improved security and operational efficiency. The region's focus on innovation and technology integration positions it as a key player in the global AIOps market.

Key players in the market

Some of the key players profiled in the Artificial Intelligence for IT Operations (AIOps) Market include AppDynamics , DataDog, BigPanda, New Relic, IBM Instana, Moogsoft, Dynatrace, LogicMonitor, Splunk, BMC, PagerDuty, ScienceLogic, Zabbix, Elastic, Cisco, Sumo Logic, Servicenow, Freshservice, CloudHealth and OpsRamp.

Key Developments:

In August 2024, Dynatrace partnered with Google Cloud to enhance observability solutions for customers, leveraging Google Cloud’s infrastructure and AI capabilities to improve application performance and user experiences.

In June 2023, DataDog announced a partnership with Snowflake to enhance observability and security for cloud applications. This integration enables users to analyze DataDog data alongside their Snowflake data, providing deeper insights into performance and security.

In March 2023, DataDog introduced Security Monitoring, a new product designed to enhance threat detection and incident response capabilities within its observability platform, enabling organizations to monitor and respond to security threats in real-time.

Components Covered:
• Solutions
• Services
• Other Components

Deployment Types Covered:
• On-Premises
• Cloud-Based
• Other Deployment Types

Organization Sizes Covered:
• Small and Medium-Sized Enterprises (SMEs)
• Large Enterprises
• Other Organization Sizes

Applications Covered:
• Incident Management
• Performance Monitoring
• Root Cause Analysis
• Change Management
• Predictive Analytics
• Other Applications

End Users Covered:
• IT and Telecommunications
• Banking, Financial Services, and Insurance
• Healthcare
• Retail
• Manufacturing
• Government
• Other End Users

Regions Covered:
• North America
US
Canada
Mexico
• Europe
Germany
UK
Italy
France
Spain
Rest of Europe
• Asia Pacific
Japan
China
India
Australia
New Zealand
South Korea
Rest of Asia Pacific
• South America
Argentina
Brazil
Chile
Rest of South America
• Middle East & Africa
Saudi Arabia
UAE
Qatar
South Africa
Rest of Middle East & Africa

What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements


1 Executive Summary
2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions
3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 Application Analysis
3.7 End User Analysis
3.8 Emerging Markets
3.9 Impact of Covid-19
4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry
5 Global Artificial Intelligence for IT Operations (AIOps) Market, By Component
5.1 Introduction
5.2 Solutions
5.2.1 Machine Learning
5.2.2 Natural Language Processing (NLP)
5.2.3 Data Analytics
5.3 Services
5.3.1 Consulting
5.3.2 Implementation
5.3.3 Support and Maintenance
5.4 Other Components
6 Global Artificial Intelligence for IT Operations (AIOps) Market, By Deployment Type
6.1 Introduction
6.2 On-Premises
6.3 Cloud-Based
6.4 Other Deployment Types
7 Global Artificial Intelligence for IT Operations (AIOps) Market, By Organization Size
7.1 Introduction
7.2 Small and Medium-Sized Enterprises (SMEs)
7.3 Large Enterprises
7.4 Other Organization Sizes
8 Global Artificial Intelligence for IT Operations (AIOps) Market, By Application
8.1 Introduction
8.2 Incident Management
8.3 Performance Monitoring
8.4 Root Cause Analysis
8.5 Change Management
8.6 Predictive Analytics
8.7 Other Applications
9 Global Artificial Intelligence for IT Operations (AIOps) Market, By End User
9.1 Introduction
9.2 IT and Telecommunications
9.3 Banking, Financial Services, and Insurance
9.4 Healthcare
9.5 Retail
9.6 Manufacturing
9.7 Government
9.8 Other End Users
10 Global Artificial Intelligence for IT Operations (AIOps) Market, By Geography
10.1 Introduction
10.2 North America
10.2.1 US
10.2.2 Canada
10.2.3 Mexico
10.3 Europe
10.3.1 Germany
10.3.2 UK
10.3.3 Italy
10.3.4 France
10.3.5 Spain
10.3.6 Rest of Europe
10.4 Asia Pacific
10.4.1 Japan
10.4.2 China
10.4.3 India
10.4.4 Australia
10.4.5 New Zealand
10.4.6 South Korea
10.4.7 Rest of Asia Pacific
10.5 South America
10.5.1 Argentina
10.5.2 Brazil
10.5.3 Chile
10.5.4 Rest of South America
10.6 Middle East & Africa
10.6.1 Saudi Arabia
10.6.2 UAE
10.6.3 Qatar
10.6.4 South Africa
10.6.5 Rest of Middle East & Africa
11 Key Developments
11.1 Agreements, Partnerships, Collaborations and Joint Ventures
11.2 Acquisitions & Mergers
11.3 New Product Launch
11.4 Expansions
11.5 Other Key Strategies
12 Company Profiling
12.1 AppDynamics
12.2 DataDog
12.3 BigPanda
12.4 New Relic
12.5 IBM Instana
12.6 Moogsoft
12.7 Dynatrace
12.8 LogicMonitor
12.9 Splunk
12.10 BMC
12.11 PagerDuty
12.12 ScienceLogic
12.13 Zabbix
12.14 Elastic
12.15 Cisco
12.16 Sumo Logic
12.17 Servicenow
12.18 Freshservice
12.19 CloudHealth
12.20 OpsRamp
List of Tables
Table 1 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Region (2022-2030) ($MN)
Table 2 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Component (2022-2030) ($MN)
Table 3 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Solutions (2022-2030) ($MN)
Table 4 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Machine Learning (2022-2030) ($MN)
Table 5 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Natural Language Processing (NLP) (2022-2030) ($MN)
Table 6 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Data Analytics (2022-2030) ($MN)
Table 7 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Services (2022-2030) ($MN)
Table 8 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Consulting (2022-2030) ($MN)
Table 9 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Implementation (2022-2030) ($MN)
Table 10 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Support and Maintenance (2022-2030) ($MN)
Table 11 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Other Components (2022-2030) ($MN)
Table 12 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Deployment Type (2022-2030) ($MN)
Table 13 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By On-Premises (2022-2030) ($MN)
Table 14 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Cloud-Based (2022-2030) ($MN)
Table 15 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Other Deployment Types (2022-2030) ($MN)
Table 16 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Organization Size (2022-2030) ($MN)
Table 17 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Small and Medium-Sized Enterprises (SMEs) (2022-2030) ($MN)
Table 18 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Large Enterprises (2022-2030) ($MN)
Table 19 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Other Organization Sizes (2022-2030) ($MN)
Table 20 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Application (2022-2030) ($MN)
Table 21 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Incident Management (2022-2030) ($MN)
Table 22 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Performance Monitoring (2022-2030) ($MN)
Table 23 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Root Cause Analysis (2022-2030) ($MN)
Table 24 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Change Management (2022-2030) ($MN)
Table 25 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Predictive Analytics (2022-2030) ($MN)
Table 26 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Other Applications (2022-2030) ($MN)
Table 27 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By End User (2022-2030) ($MN)
Table 28 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By IT and Telecommunications (2022-2030) ($MN)
Table 29 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Banking, Financial Services, and Insurance (2022-2030) ($MN)
Table 30 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Healthcare (2022-2030) ($MN)
Table 31 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Retail (2022-2030) ($MN)
Table 32 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Manufacturing (2022-2030) ($MN)
Table 33 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Government (2022-2030) ($MN)
Table 34 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Other End Users (2022-2030) ($MN)
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.

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