Global AIOps Platform Market Size Study, by Component, by Deployment, by Organization Size, by Application, by Vertical and Regional Forecasts 2022-2032

Description

Global AIOps Platform Market is valued at approximately USD 13.44 billion in 2023 and is anticipated to grow with a healthy growth rate of more than 21.76% over the forecast period 2024-2032. An Artificial Intelligence for IT Operations (AIOps) platform leverages advanced algorithms, machine learning, and big data analytics to automate and enhance IT operations. By meticulously analyzing vast volumes of operational data from various IT tools and devices, AIOps platforms facilitate problem detection, root cause analysis, and proactive issue resolution. Consequently, these platforms streamline IT operations, minimize downtime, and optimize service performance. The escalating complexity of IT infrastructure and the burgeoning volume of data are key drivers propelling market growth. However, the market faces significant challenges, such as a scarcity of skilled professionals capable of effectively implementing and managing AIOps platforms, alongside concerns regarding data security and privacy that hinder the adoption of these platforms.

The demand for efficient and proven service offerings has underscored the importance of the platform component within AIOps, which includes essential tools for data aggregation, analysis, machine learning models, and visualization dashboards. As IT environments grow increasingly complex, traditional monitoring tools struggle to cope with the volume, velocity, and variety of data, necessitating the adoption of AIOps platforms. Additionally, the services component, which encompasses consulting, support, maintenance, and managed services, plays a pivotal role in the deployment, integration, and operation of AIOps platforms.

The deployment landscape is witnessing a significant shift towards cloud-based models, primarily due to their flexibility, scalability, and cost-effectiveness. Cloud-based deployments facilitate remote work and reduce maintenance requirements by outsourcing infrastructure management to service providers. Conversely, on-premise deployments appeal to organizations prioritizing data control and compliance, offering extensive customization potential and heightened security at the expense of significant upfront investment and ongoing maintenance.

Large enterprises, typically characterized by extensive IT infrastructures and substantial data generation, find AIOps platforms indispensable for real-time monitoring, incident management, and IT service automation. Small and medium enterprises (SMEs), while facing less complexity, also benefit from the operational efficiency and cost reduction offered by AIOps solutions, which are designed to be cost-effective, easy to implement, and require minimal maintenance.

In terms of application, AIOps platforms are increasingly adopted for network and security management, application performance analysis, infrastructure management, and real-time analytics. Industries such as finance, healthcare, and technology prioritize infrastructure management, while network and security management is crucial for telecommunications, government, and managed IT service providers. The ability to provide actionable intelligence in real-time makes AIOps platforms invaluable for decision-making in retail, manufacturing, and logistics sectors.

The key regions considered for the global AIOps platforms market study include Asia Pacific, North America, Europe, Latin America, and Rest of the World. North America is accounted as the dominating region in the AIOps platform market, driven by mature IT infrastructure and a significant presence of large-scale enterprises that are early adopters of AI technology. Also, presence of stringent regulatory environment and focus on digital transformation, exhibits strong demand for AIOps solutions that ensure compliance with regional regulations and norms. Whereas, the market in Asia Pacific is anticipated to grow at the fastest rate over the forecast period owing to the rising government initiatives and a burgeoning IT sector, with countries like China, Japan, and India at the forefront.

Major market players included in this report are:

Amazon Web Services, Inc.
BigPanda, Inc.
BMC Software, Inc.
Broadcom Inc.
Cisco Systems, Inc.
CloudFabrix Software Inc.
Datadog, Inc.
Dynatrace, Inc.
Google LLC
Hewlett Packard Enterprise Company
IBM Corporation
Microsoft Corporation
New Relic, Inc.
ServiceNow, Inc.
Tata Consultancy Services Limited

The detailed segments and sub-segments of the market are explained below:

By Component:

Platform
Services

By Deployment:

Cloud
On-premise

By Organization Size:

Large Enterprises
Small & Medium Enterprises

By Application:

Application Performance Analysis
Infrastructure Management
Network & Security Management
Real-Time Analytics

By Vertical:

BFSI
Energy & Utilities
Government & Defense
Healthcare & Life Sciences
IT & Telecom
Media & Entertainment
Retail & eCommerce

By Region:

North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE
Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
RoLA
Middle East & Africa
Saudi Arabia
South Africa
RoMEA

Years considered for the study are as follows:

Historical year - 2022
Base year - 2023
Forecast period - 2024 to 2032

Key Takeaways:

Market Estimates & Forecast for 10 years from 2022 to 2032.
Annualized revenues and regional level analysis for each market segment.
Detailed analysis of geographical landscape with Country level analysis of major regions.
Competitive landscape with information on major players in the market.
Analysis of key business strategies and recommendations on future market approach.
Analysis of competitive structure of the market.
Demand side and supply side analysis of the market.

Chapter 1. Global AIOps Platform Market Executive Summary

1.1. Global AIOps Platform Market Size & Forecast (2022-2032)
1.2. Regional Summary
1.3. Segmental Summary
- 1.3.1. By Component
- 1.3.2. By Deployment
- 1.3.3. By Organization Size
- 1.3.4. By Application
- 1.3.5. By Vertical
1.4. Key Trends
1.5. Recession Impact
1.6. Analyst Recommendation & Conclusion

Chapter 2. Global AIOps Platform Market Definition and Research Assumptions

2.1. Research Objective
2.2. Market Definition
2.3. Research Assumptions
- 2.3.1. Inclusion & Exclusion
- 2.3.2. Limitations
- 2.3.3. Supply Side Analysis
  - 2.3.3.1. Availability
  - 2.3.3.2. Infrastructure
  - 2.3.3.3. Regulatory Environment
  - 2.3.3.4. Market Competition
  - 2.3.3.5. Economic Viability (Consumer's Perspective)
- 2.3.4. Demand Side Analysis
  - 2.3.4.1. Regulatory frameworks
  - 2.3.4.2. Technological Advancements
  - 2.3.4.3. Environmental Considerations
  - 2.3.4.4. Consumer Awareness & Acceptance
2.4. Estimation Methodology
2.5. Years Considered for the Study
2.6. Currency Conversion Rates

Chapter 3. Global AIOps Platform Market Dynamics

3.1. Market Drivers
- 3.1.1. Increasing Complexity of IT Infrastructure
- 3.1.2. Growing Volume of Operational Data
- 3.1.3. Advancements in AI and Machine Learning
3.2. Market Challenges
- 3.2.1. Lack of Skilled Professionals
- 3.2.2. Data Security and Privacy Concerns
3.3. Market Opportunities
- 3.3.1. Progressive Adoption of Cloud-Based Solutions
- 3.3.2. Integration with Smart IT Operations Solutions
- 3.3.3. Expansion into New Verticals

Chapter 4. Global AIOps Platform Market Industry Analysis

4.1. Porter's 5 Force Model
- 4.1.1. Bargaining Power of Suppliers
- 4.1.2. Bargaining Power of Buyers
- 4.1.3. Threat of New Entrants
- 4.1.4. Threat of Substitutes
- 4.1.5. Competitive Rivalry
- 4.1.6. Futuristic Approach to Porter's 5 Force Model
- 4.1.7. Porter's 5 Force Impact Analysis
4.2. PESTEL Analysis
- 4.2.1. Political
- 4.2.2. Economical
- 4.2.3. Social
- 4.2.4. Technological
- 4.2.5. Environmental
- 4.2.6. Legal
4.3. Top investment opportunity
4.4. Top winning strategies
4.5. Disruptive Trends
4.6. Industry Expert Perspective
4.7. Analyst Recommendation & Conclusion

Chapter 5. Global AIOps Platform Market Size & Forecasts by Component 2022-2032

5.1. Segment Dashboard
5.2. Global AIOps Platform Market: Component Revenue Trend Analysis, 2022 & 2032 (USD Billion)
- 5.2.1. Platform
- 5.2.2. Services

Chapter 6. Global AIOps Platform Market Size & Forecasts by Deployment 2022-2032

6.1. Segment Dashboard
6.2. Global AIOps Platform Market: Deployment Revenue Trend Analysis, 2022 & 2032 (USD Billion)
- 6.2.1. Cloud
- 6.2.2. On-premise

Chapter 7. Global AIOps Platform Market Size & Forecasts by Organization Size 2022-2032

7.1. Segment Dashboard
7.2. Global AIOps Platform Market: Organization Size Revenue Trend Analysis, 2022 & 2032 (USD Billion)
- 7.2.1. Large Enterprises
- 7.2.2. Small & Medium Enterprises

Chapter 8. Global AIOps Platform Market Size & Forecasts by Application 2022-2032

8.1. Segment Dashboard
8.2. Global AIOps Platform Market: Application Revenue Trend Analysis, 2022 & 2032 (USD Billion)
- 8.2.1. Application Performance Analysis
- 8.2.2. Infrastructure Management
- 8.2.3. Network & Security Management
- 8.2.4. Real-Time Analytics

Chapter 9. Global AIOps Platform Market Size & Forecasts by Vertical 2022-2032

9.1. Segment Dashboard
9.2. Global AIOps Platform Market: Vertical Revenue Trend Analysis, 2022 & 2032 (USD Billion)
- 9.2.1. BFSI
- 9.2.2. Energy & Utilities
- 9.2.3. Government & Defense
- 9.2.4. Healthcare & Life Sciences
- 9.2.5. IT & Telecom
- 9.2.6. Media & Entertainment
- 9.2.7. Retail & eCommerce

Chapter 10. Global AIOps Platform Market Size & Forecasts by Region 2022-2032

10.1. North America AIOps Platform Market
- 10.1.1. U.S. AIOps Platform Market
  - 10.1.1.1. Component breakdown size & forecasts, 2022-2032
  - 10.1.1.2. Deployment breakdown size & forecasts, 2022-2032
  - 10.1.1.3. Organization Size breakdown size & forecasts, 2022-2032
  - 10.1.1.4. Application breakdown size & forecasts, 2022-2032
  - 10.1.1.5. Vertical breakdown size & forecasts, 2022-2032
- 10.1.2. Canada AIOps Platform Market
10.2. Europe AIOps Platform Market
- 10.2.1. U.K. AIOps Platform Market
- 10.2.2. Germany AIOps Platform Market
- 10.2.3. France AIOps Platform Market
- 10.2.4. Spain AIOps Platform Market
- 10.2.5. Italy AIOps Platform Market
- 10.2.6. Rest of Europe AIOps Platform Market
10.3. Asia-Pacific AIOps Platform Market
- 10.3.1. China AIOps Platform Market
- 10.3.2. India AIOps Platform Market
- 10.3.3. Japan AIOps Platform Market
- 10.3.4. Australia AIOps Platform Market
- 10.3.5. South Korea AIOps Platform Market
- 10.3.6. Rest of Asia Pacific AIOps Platform Market
10.4. Latin America AIOps Platform Market
- 10.4.1. Brazil AIOps Platform Market
- 10.4.2. Mexico AIOps Platform Market
- 10.4.3. Rest of Latin America AIOps Platform Market
10.5. Middle East & Africa AIOps Platform Market
- 10.5.1. Saudi Arabia AIOps Platform Market
- 10.5.2. South Africa AIOps Platform Market
- 10.5.3. Rest of Middle East & Africa AIOps Platform Market

Chapter 11. Competitive Intelligence

11.1. Key Company SWOT Analysis
- 11.1.1. Amazon Web Services, Inc.
- 11.1.2. BigPanda, Inc.
- 11.1.3. BMC Software, Inc.
11.2. Top Market Strategies
11.3. Company Profiles
- 11.3.1. Amazon Web Services, Inc.
  - 11.3.1.1. Key Information
  - 11.3.1.2. Overview
  - 11.3.1.3. Financial (Subject to Data Availability)
  - 11.3.1.4. Product Summary
  - 11.3.1.5. Market Strategies
- 11.3.2. BigPanda, Inc.
- 11.3.3. BMC Software, Inc.
- 11.3.4. Broadcom Inc.
- 11.3.5. Cisco Systems, Inc.
- 11.3.6. CloudFabrix Software Inc.
- 11.3.7. Datadog, Inc.
- 11.3.8. Dynatrace, Inc.
- 11.3.9. Google LLC
- 11.3.10. Hewlett Packard Enterprise Company
- 11.3.11. IBM Corporation
- 11.3.12. Microsoft Corporation
- 11.3.13. New Relic, Inc.
- 11.3.14. ServiceNow, Inc.
- 11.3.15. Tata Consultancy Services Limited

Chapter 12. Research Process

12.1. Research Process
- 12.1.1. Data Mining
- 12.1.2. Analysis
- 12.1.3. Market Estimation
- 12.1.4. Validation
- 12.1.5. Publishing
12.2. Research Attributes