After the detailed analysis on service resource planning (SRP) SaaS solutions market, FMI published a new report on AIOps platform market. According to the analysis, the AIOps platform revenue is at a value of US$ 12.631.80 million in 2024.
The AIOps vendors are working on industry-specific solutions that are designed to meet the diverse requirements in the healthcare, finance, and manufacturing sectors. Through the year 2034, the demand for AIOps platforms may provide the market with the opportunity to reach its value of US$ 119,253 million with the CAGR of 25.20%.
| Attributes | Details |
|---|---|
| AIOps Platform Market Value for 2024 | US$ 12,631.80 million |
| AIOps Platform Market Value for 2034 | US$ 119,253 million |
| AIOps Platform Market Forecast CAGR for 2024 to 2034 | 25.20% |
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Clearly, the AIOps platform market has seen a massive growth history. In total, the market valuation was at US$ 10,221.10 million between 2019 and 2023 after clocking a sure 23% CAGR. The growth was pegged on some of the factors driving the industry, including an increase in IT complexity, the adoption of automation in IT operations, and the need for more security.
| Category | Historical Period from 2019 to 2023 |
|---|---|
| Market Valuation at the End of the Period | US$ 10,221.10 million |
| CAGR | 23.00% |
| Key Trends | Shift from people-driven approaches to machines-driven automation in IT operations |
| Growth factors | Increasing IT complexity in all industries |
The future presents a growth pace that could even surpass the industry expectations. The AIOps platform market is expected to hit a market of US$ 119,253 million between 2024 and 2034 with 25.2% CAGR. The factors driving growth of the industry are likely to be influenced by various emerging trends that include advanced AI and machine learning integration for improving the platform, user experience to enhance adoption, and cloud-native and hyperautomation.
The shift in trajectory hints toward a maturing market characterized by wider adoption and deeper integration of AIOps platforms into IT operations strategies in various industries.
| Category | Forecast Period from 2024 to 2034 |
|---|---|
| Market Valuation at the End of the Period | US$ 119,253 million |
| CAGR | 25.20% |
| Key Trends | Wider deployment of advanced AI and machine learning within AIOps platforms |
| Growth factors | Focus on user-friendliness and enhanced user experience to support broad adoption |
Principal Consultant
Different industries have a variety of operational bottlenecks, rules and regulations, and performance targets. The AIOps vendors are working on industry-specific solutions that are designed to meet the diverse requirements in the healthcare, finance, and manufacturing sectors. Custom-made solutions could be represented by already-built analytics models, integration, and best practices to monitor and manage the IT environments within those areas.
AIOps vendors are developing marketplace platforms that enable the sharing of analytics models, integrations, and other components that have already been built. The adoption of this ecosystem approach enables the AIOps community to share knowledge and collaborate amongst themselves, thus accelerating innovation and leading to a situation where organizations can leverage proven solutions for specific use cases or industry verticals.
One of the most significant issues that arises when businesses employ hybrid cloud and multi-cloud strategies is the management of this complexity and ensuring that operations are consistent across all the different cloud platforms.
The AIOps solutions are becoming more and more capable of providing unified monitoring, management, and automation functions for multi-cloud and hybrid cloud environments, thus giving organizations a chance to have an overall view and control of their distributed IT infrastructure.
Modern AIOps platforms integrate self-healing and self-optimizing components through AI and machine learning, which eventually automatically detect, diagnose, and resolve problems without human interference. Furthermore, these platforms can be programmed to keep monitoring how resources are used and then automatically reallocate productive resources and reduce the costs of operations.
| Segment | Estimated Market Share in 2024 |
|---|---|
| AIOps Platform | 74.60% |
| Real-Time Analytics | 41.30% |
AIOps platform solutions have a market share of 74.60% in 2024. Growing necessity for intelligent, automated and proactive IT operations management across various industries has boosted the popularity of this category.
The market share of 41.30% in 2024 is evidence enough to support the increasing popularity of real-time analytics applications. This owes to the need for instantaneous insights and informed operational decisions to drive improved performance and customer care service that has brought up this group.
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The analysis demonstrates lucrative prospects for various players within the AIOps platform industry across certain countries. Forecast highlights that Australia and China pose attractive expansion opportunities for AIOps platform vendors in future while the United States, Germany, Japan are enjoying their mature markets with constant growth rates respectively.
| Countries | CAGR till 2034 |
|---|---|
| United States | 22% |
| Australia | 28.70% |
| China | 25.70% |
| Japan | 19.90% |
| Germany | 20.60% |
The United States market is on a way to maintain a steady CAGR of 22% through 2034.
The region’s market is likely to rise at a CAGR of 28.70% till 2034 on account of:
China’s AIOps platform industry is inclined to record 25.70% CAGR by 2034 due to:
The AIOps platform industry in Japan is set to maintain a CAGR of 19.90% through 2034.
Germany’s market for AIOPs platforms to rise at a CAGR of 20.60% by 2034.
AIOPs platform business is a very competitive field with both well-established and newer companies trying to capture a share of the market. The leaders of this market, such as IBM, Splunk, and BMC Software, rely on their long-standing and wide experience as well as their large customer base to maintain a strong position.
On the other hand, they experience a rise in competition from small players who concentrate on particular functionalities or provide services to certain industries. These particular niche players usually have the latest AI and machine learning algorithms that make them offer a distinctive value proposition to the market.
The market has also seen hyper scalers such as Microsoft and Amazon Web Services (AWS) start to dominate. Having already captured the cloud infrastructure market, these giants now develop AIOps as a package solution and turn out to be an unbeatable rival to the traditional vendors. On the other hand, established businesses are focusing on strategic partnerships, ongoing platform innovation and broadening their solution sets in order to cover various IT operations.
Recent Developments in the AIOps Platform Industry
The AIOps platform market is projected to expand at a CAGR of 25.20% between 2024 and 2034.
The real-time analytics segment dominates the industry.
A few leading AIOps platform companies are Moogsoft, IBM, and Micro Focus.
The AIOps platform market is anticipated to surpass US$ 119,253 million by 2034.
The increasing complexity of IT environments and the need for proactive problem resolution.
1. Executive Summary
1.1. Global Market Outlook
1.2. Demand-side Trends
1.3. Supply-side Trends
1.4. Technology Roadmap Analysis
1.5. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Background
3.1. Market Dynamics
3.1.1. Drivers
3.1.2. Restraints
3.1.3. Opportunity
3.1.4. Trends
3.2. Scenario Forecast
3.2.1. Demand in Optimistic Scenario
3.2.2. Demand in Likely Scenario
3.2.3. Demand in Conservative Scenario
3.3. Opportunity Map Analysis
3.4. Investment Feasibility Matrix
3.5. PESTLE and Porter’s Analysis
3.6. Regulatory Landscape
3.6.1. By Key Regions
3.6.2. By Key Countries
3.7. Regional Parent Market Outlook
4. Global Market Analysis 2019 to 2023 and Forecast, 2024 to 2034
4.1. Historical Market Size Value (US$ Million) Analysis, 2019 to 2023
4.2. Current and Future Market Size Value (US$ Million) Projections, 2024 to 2034
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Solution
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Million) Analysis By Solution, 2019 to 2023
5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Solution, 2024 to 2034
5.3.1. AIOps Platform
5.3.2. Services
5.3.2.1. Implementation Services
5.3.2.2. License & Maintenance Services
5.3.2.3. Training & Education Services
5.3.2.4. Others
5.4. Y-o-Y Growth Trend Analysis By Solution, 2019 to 2023
5.5. Absolute $ Opportunity Analysis By Solution, 2024 to 2034
6. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Application
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Million) Analysis By Application, 2019 to 2023
6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Application, 2024 to 2034
6.3.1. Real-Time Analytics
6.3.2. Application Performance Management
6.3.3. Infrastructure Management
6.3.4. Others
6.4. Y-o-Y Growth Trend Analysis By Application, 2019 to 2023
6.5. Absolute $ Opportunity Analysis By Application, 2024 to 2034
7. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Vertical
7.1. Introduction / Key Findings
7.2. Historical Market Size Value (US$ Million) Analysis By Vertical, 2019 to 2023
7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Vertical, 2024 to 2034
7.3.1. BFSI
7.3.2. Healthcare & Life Sciences
7.3.3. Retail & Consumer Goods
7.3.4. IT & Telecom
7.3.5. Others
7.4. Y-o-Y Growth Trend Analysis By Vertical, 2019 to 2023
7.5. Absolute $ Opportunity Analysis By Vertical, 2024 to 2034
8. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Region
8.1. Introduction
8.2. Historical Market Size Value (US$ Million) Analysis By Region, 2019 to 2023
8.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2024 to 2034
8.3.1. North America
8.3.2. Latin America
8.3.3. Western Europe
8.3.4. Eastern Europe
8.3.5. South Asia and Pacific
8.3.6. East Asia
8.3.7. Middle East and Africa
8.4. Market Attractiveness Analysis By Region
9. North America Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
9.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
9.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
9.2.1. By Country
9.2.1.1. USA
9.2.1.2. Canada
9.2.2. By Solution
9.2.3. By Application
9.2.4. By Vertical
9.3. Market Attractiveness Analysis
9.3.1. By Country
9.3.2. By Solution
9.3.3. By Application
9.3.4. By Vertical
9.4. Key Takeaways
10. Latin America Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
10.2.1. By Country
10.2.1.1. Brazil
10.2.1.2. Mexico
10.2.1.3. Rest of Latin America
10.2.2. By Solution
10.2.3. By Application
10.2.4. By Vertical
10.3. Market Attractiveness Analysis
10.3.1. By Country
10.3.2. By Solution
10.3.3. By Application
10.3.4. By Vertical
10.4. Key Takeaways
11. Western Europe Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
11.2.1. By Country
11.2.1.1. Germany
11.2.1.2. UK
11.2.1.3. France
11.2.1.4. Spain
11.2.1.5. Italy
11.2.1.6. Rest of Western Europe
11.2.2. By Solution
11.2.3. By Application
11.2.4. By Vertical
11.3. Market Attractiveness Analysis
11.3.1. By Country
11.3.2. By Solution
11.3.3. By Application
11.3.4. By Vertical
11.4. Key Takeaways
12. Eastern Europe Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
12.2.1. By Country
12.2.1.1. Poland
12.2.1.2. Russia
12.2.1.3. Czech Republic
12.2.1.4. Romania
12.2.1.5. Rest of Eastern Europe
12.2.2. By Solution
12.2.3. By Application
12.2.4. By Vertical
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By Solution
12.3.3. By Application
12.3.4. By Vertical
12.4. Key Takeaways
13. South Asia and Pacific Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
13.2.1. By Country
13.2.1.1. India
13.2.1.2. Bangladesh
13.2.1.3. Australia
13.2.1.4. New Zealand
13.2.1.5. Rest of South Asia and Pacific
13.2.2. By Solution
13.2.3. By Application
13.2.4. By Vertical
13.3. Market Attractiveness Analysis
13.3.1. By Country
13.3.2. By Solution
13.3.3. By Application
13.3.4. By Vertical
13.4. Key Takeaways
14. East Asia Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
14.2.1. By Country
14.2.1.1. China
14.2.1.2. Japan
14.2.1.3. South Korea
14.2.2. By Solution
14.2.3. By Application
14.2.4. By Vertical
14.3. Market Attractiveness Analysis
14.3.1. By Country
14.3.2. By Solution
14.3.3. By Application
14.3.4. By Vertical
14.4. Key Takeaways
15. Middle East and Africa Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
15.2.1. By Country
15.2.1.1. GCC Countries
15.2.1.2. South Africa
15.2.1.3. Israel
15.2.1.4. Rest of MEA
15.2.2. By Solution
15.2.3. By Application
15.2.4. By Vertical
15.3. Market Attractiveness Analysis
15.3.1. By Country
15.3.2. By Solution
15.3.3. By Application
15.3.4. By Vertical
15.4. Key Takeaways
16. Key Countries Market Analysis
16.1. USA
16.1.1. Pricing Analysis
16.1.2. Market Share Analysis, 2023
16.1.2.1. By Solution
16.1.2.2. By Application
16.1.2.3. By Vertical
16.2. Canada
16.2.1. Pricing Analysis
16.2.2. Market Share Analysis, 2023
16.2.2.1. By Solution
16.2.2.2. By Application
16.2.2.3. By Vertical
16.3. Brazil
16.3.1. Pricing Analysis
16.3.2. Market Share Analysis, 2023
16.3.2.1. By Solution
16.3.2.2. By Application
16.3.2.3. By Vertical
16.4. Mexico
16.4.1. Pricing Analysis
16.4.2. Market Share Analysis, 2023
16.4.2.1. By Solution
16.4.2.2. By Application
16.4.2.3. By Vertical
16.5. Germany
16.5.1. Pricing Analysis
16.5.2. Market Share Analysis, 2023
16.5.2.1. By Solution
16.5.2.2. By Application
16.5.2.3. By Vertical
16.6. UK
16.6.1. Pricing Analysis
16.6.2. Market Share Analysis, 2023
16.6.2.1. By Solution
16.6.2.2. By Application
16.6.2.3. By Vertical
16.7. France
16.7.1. Pricing Analysis
16.7.2. Market Share Analysis, 2023
16.7.2.1. By Solution
16.7.2.2. By Application
16.7.2.3. By Vertical
16.8. Spain
16.8.1. Pricing Analysis
16.8.2. Market Share Analysis, 2023
16.8.2.1. By Solution
16.8.2.2. By Application
16.8.2.3. By Vertical
16.9. Italy
16.9.1. Pricing Analysis
16.9.2. Market Share Analysis, 2023
16.9.2.1. By Solution
16.9.2.2. By Application
16.9.2.3. By Vertical
16.10. Poland
16.10.1. Pricing Analysis
16.10.2. Market Share Analysis, 2023
16.10.2.1. By Solution
16.10.2.2. By Application
16.10.2.3. By Vertical
16.11. Russia
16.11.1. Pricing Analysis
16.11.2. Market Share Analysis, 2023
16.11.2.1. By Solution
16.11.2.2. By Application
16.11.2.3. By Vertical
16.12. Czech Republic
16.12.1. Pricing Analysis
16.12.2. Market Share Analysis, 2023
16.12.2.1. By Solution
16.12.2.2. By Application
16.12.2.3. By Vertical
16.13. Romania
16.13.1. Pricing Analysis
16.13.2. Market Share Analysis, 2023
16.13.2.1. By Solution
16.13.2.2. By Application
16.13.2.3. By Vertical
16.14. India
16.14.1. Pricing Analysis
16.14.2. Market Share Analysis, 2023
16.14.2.1. By Solution
16.14.2.2. By Application
16.14.2.3. By Vertical
16.15. Bangladesh
16.15.1. Pricing Analysis
16.15.2. Market Share Analysis, 2023
16.15.2.1. By Solution
16.15.2.2. By Application
16.15.2.3. By Vertical
16.16. Australia
16.16.1. Pricing Analysis
16.16.2. Market Share Analysis, 2023
16.16.2.1. By Solution
16.16.2.2. By Application
16.16.2.3. By Vertical
16.17. New Zealand
16.17.1. Pricing Analysis
16.17.2. Market Share Analysis, 2023
16.17.2.1. By Solution
16.17.2.2. By Application
16.17.2.3. By Vertical
16.18. China
16.18.1. Pricing Analysis
16.18.2. Market Share Analysis, 2023
16.18.2.1. By Solution
16.18.2.2. By Application
16.18.2.3. By Vertical
16.19. Japan
16.19.1. Pricing Analysis
16.19.2. Market Share Analysis, 2023
16.19.2.1. By Solution
16.19.2.2. By Application
16.19.2.3. By Vertical
16.20. South Korea
16.20.1. Pricing Analysis
16.20.2. Market Share Analysis, 2023
16.20.2.1. By Solution
16.20.2.2. By Application
16.20.2.3. By Vertical
16.21. GCC Countries
16.21.1. Pricing Analysis
16.21.2. Market Share Analysis, 2023
16.21.2.1. By Solution
16.21.2.2. By Application
16.21.2.3. By Vertical
16.22. South Africa
16.22.1. Pricing Analysis
16.22.2. Market Share Analysis, 2023
16.22.2.1. By Solution
16.22.2.2. By Application
16.22.2.3. By Vertical
16.23. Israel
16.23.1. Pricing Analysis
16.23.2. Market Share Analysis, 2023
16.23.2.1. By Solution
16.23.2.2. By Application
16.23.2.3. By Vertical
17. Market Structure Analysis
17.1. Competition Dashboard
17.2. Competition Benchmarking
17.3. Market Share Analysis of Top Players
17.3.1. By Regional
17.3.2. By Solution
17.3.3. By Application
17.3.4. By Vertical
18. Competition Analysis
18.1. Competition Deep Dive
18.1.1. Moogsoft Inc.
18.1.1.1. Overview
18.1.1.2. Product Portfolio
18.1.1.3. Profitability by Market Segments
18.1.1.4. Sales Footprint
18.1.1.5. Strategy Overview
18.1.1.5.1. Marketing Strategy
18.1.2. IBM
18.1.2.1. Overview
18.1.2.2. Product Portfolio
18.1.2.3. Profitability by Market Segments
18.1.2.4. Sales Footprint
18.1.2.5. Strategy Overview
18.1.2.5.1. Marketing Strategy
18.1.3. Micro Focus
18.1.3.1. Overview
18.1.3.2. Product Portfolio
18.1.3.3. Profitability by Market Segments
18.1.3.4. Sales Footprint
18.1.3.5. Strategy Overview
18.1.3.5.1. Marketing Strategy
18.1.4. Vmware
18.1.4.1. Overview
18.1.4.2. Product Portfolio
18.1.4.3. Profitability by Market Segments
18.1.4.4. Sales Footprint
18.1.4.5. Strategy Overview
18.1.4.5.1. Marketing Strategy
18.1.5. HCL Technologies Limited
18.1.5.1. Overview
18.1.5.2. Product Portfolio
18.1.5.3. Profitability by Market Segments
18.1.5.4. Sales Footprint
18.1.5.5. Strategy Overview
18.1.5.5.1. Marketing Strategy
18.1.6. BMC Software
18.1.6.1. Overview
18.1.6.2. Product Portfolio
18.1.6.3. Profitability by Market Segments
18.1.6.4. Sales Footprint
18.1.6.5. Strategy Overview
18.1.6.5.1. Marketing Strategy
18.1.7. Broadcom
18.1.7.1. Overview
18.1.7.2. Product Portfolio
18.1.7.3. Profitability by Market Segments
18.1.7.4. Sales Footprint
18.1.7.5. Strategy Overview
18.1.7.5.1. Marketing Strategy
18.1.8. ProphetStor Data Services, Inc.
18.1.8.1. Overview
18.1.8.2. Product Portfolio
18.1.8.3. Profitability by Market Segments
18.1.8.4. Sales Footprint
18.1.8.5. Strategy Overview
18.1.8.5.1. Marketing Strategy
18.1.9. Splunk Inc.
18.1.9.1. Overview
18.1.9.2. Product Portfolio
18.1.9.3. Profitability by Market Segments
18.1.9.4. Sales Footprint
18.1.9.5. Strategy Overview
18.1.9.5.1. Marketing Strategy
18.1.10. Dynatrace
18.1.10.1. Overview
18.1.10.2. Product Portfolio
18.1.10.3. Profitability by Market Segments
18.1.10.4. Sales Footprint
18.1.10.5. Strategy Overview
18.1.10.5.1. Marketing Strategy
18.1.11. CA Technologies
18.1.11.1. Overview
18.1.11.2. Product Portfolio
18.1.11.3. Profitability by Market Segments
18.1.11.4. Sales Footprint
18.1.11.5. Strategy Overview
18.1.11.5.1. Marketing Strategy
18.1.12. Big Panda Inc
18.1.12.1. Overview
18.1.12.2. Product Portfolio
18.1.12.3. Profitability by Market Segments
18.1.12.4. Sales Footprint
18.1.12.5. Strategy Overview
18.1.12.5.1. Marketing Strategy
19. Assumptions & Acronyms Used
20. Research Methodology
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AIOps Platform Market
