Artificial Intelligence For It Operations Aiops Market
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
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o 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
Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances
Table of Contents
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
1 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Region (2022-2030) ($MN)
2 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Component (2022-2030) ($MN)
3 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Solutions (2022-2030) ($MN)
4 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Machine Learning (2022-2030) ($MN)
5 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Natural Language Processing (NLP) (2022-2030) ($MN)
6 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Data Analytics (2022-2030) ($MN)
7 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Services (2022-2030) ($MN)
8 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Consulting (2022-2030) ($MN)
9 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Implementation (2022-2030) ($MN)
10 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Support and Maintenance (2022-2030) ($MN)
11 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Other Components (2022-2030) ($MN)
12 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Deployment Type (2022-2030) ($MN)
13 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By On-Premises (2022-2030) ($MN)
14 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Cloud-Based (2022-2030) ($MN)
15 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Other Deployment Types (2022-2030) ($MN)
16 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Organization Size (2022-2030) ($MN)
17 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Small and Medium-Sized Enterprises (SMEs) (2022-2030) ($MN)
18 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Large Enterprises (2022-2030) ($MN)
19 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Other Organization Sizes (2022-2030) ($MN)
20 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Application (2022-2030) ($MN)
21 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Incident Management (2022-2030) ($MN)
22 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Performance Monitoring (2022-2030) ($MN)
23 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Root Cause Analysis (2022-2030) ($MN)
24 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Change Management (2022-2030) ($MN)
25 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Predictive Analytics (2022-2030) ($MN)
26 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Other Applications (2022-2030) ($MN)
27 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By End User (2022-2030) ($MN)
28 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By IT and Telecommunications (2022-2030) ($MN)
29 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Banking, Financial Services, and Insurance (2022-2030) ($MN)
30 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Healthcare (2022-2030) ($MN)
31 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Retail (2022-2030) ($MN)
32 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Manufacturing (2022-2030) ($MN)
33 Global Artificial Intelligence for IT Operations (AIOps) Market Outlook, By Government (2022-2030) ($MN)
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.
List of Figures
RESEARCH METHODOLOGY
We at ‘Stratistics’ opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.
Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.
Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.
Data Mining
The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.
Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.
Data Analysis
From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:
- Product Lifecycle Analysis
- Competitor analysis
- Risk analysis
- Porters Analysis
- PESTEL Analysis
- SWOT Analysis
The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.
Data Validation
The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.
We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.
The data validation involves the primary research from the industry experts belonging to:
- Leading Companies
- Suppliers & Distributors
- Manufacturers
- Consumers
- Industry/Strategic Consultants
Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.
For more details about research methodology, kindly write to us at info@strategymrc.com
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