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.
This section provides a comparative view of the AIOps platform industry, the DevSecOps market, and the IT service management tools market. The table here analyses these adjacent markets based on CAGR from 2024 to 2034, opportunities, and key trends.
AIOps Platform Market:
| Attributes | AIOps Platform Market |
|---|---|
| CAGR (2024 to 2034) | 25.20% |
| Opportunity | Empowering proactive and smart IT environment operations that are increasingly complex through AI/ML-enabled analytics and automation. |
| Key Trends | Convergence with other emerging technologies such as edge computing, IoT, and 5G that enables end-to-end visibility and management. |
DevSecOps Market:
| Attributes | DevSecOps Market |
|---|---|
| CAGR (2024 to 2034) | 17.8% |
| Opportunity | Integrating security practices into DevOps processes for streamlined, faster, and more secure software delivery and compliance. |
| Key Trends | Shift-left security testing and adoption of secure-by-design principles to catch vulnerabilities at the early stages of the development lifecycle. |
IT Service Management Tools Market:
| Attributes | IT Service Management Tools Market |
|---|---|
| CAGR (2024 to 2034) | 15.2% |
| Opportunity | Supporting IT processes, services, and operations through the use of automation, knowledge management, and AI-driven insights. |
| Key Trends | Integration of ITSM with AIOps with the aim of making data-driven decisions and proactive incident management across the entire IT terrain. |
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| 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.
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
