AI Operations (AIOPS) Market Size 2025-2029
The ai operations (AIOPS) market size is forecast to increase by USD 21.0 billion, at a CAGR of 21.0% between 2024 and 2029.
The global ai operations (AIOPS) market is shaped by the increasing complexity of IT environments, where hybrid cloud infrastructures and microservices architectures have become standard. This complexity is a primary driver for the adoption of aiops, as traditional management tools can no longer handle the volume of operational data. The proliferation of hybrid and multi-cloud environments is a key trend, with organizations seeking centralized visibility and automated anomaly detection. Solutions like enterprise ai and ai integration platforms are crucial for managing these diverse systems. This creates demand for advanced capabilities in real-time observability and predictive outage prevention to ensure seamless performance and business continuity.While the market expands, data silos and integration complexities present a significant challenge. The fragmentation of operational data across disparate monitoring tools and cloud services makes it difficult to achieve a unified view, which is essential for effective aiops. Overcoming this requires robust data strategies and tools that support ai devops and industrial ai software. The high cost and difficulty in demonstrating a clear return on investment also temper adoption rates. Organizations must navigate these hurdles to fully leverage aiops for enhanced operational efficiency and proactive problem resolution, turning data into actionable intelligence with tools like an ai toolkit.
What will be the Size of the AI Operations (AIOPS) Market during the forecast period?
Explore in-depth regional segment analysis with market size data - historical 2019 - 2023 and forecasts 2025-2029 - in the full report.
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The global ai operations (AIOPS) market is characterized by continuous advancements in intelligent automation and proactive problem resolution. The integration of ai into it operations is shifting the paradigm from reactive troubleshooting to predictive maintenance, with a strong focus on real-time observability. The application of ai devops and industrial ai software is expanding, enabling organizations to manage complex, distributed systems more effectively. This evolution is driven by the need to enhance operational resilience and reduce mean time to resolution in dynamic IT environments.Core capabilities such as proactive anomaly detection and automated root cause analysis are becoming standard offerings within enterprise ai. The market is also seeing the rise of sophisticated ai integration platforms that facilitate seamless data correlation across hybrid and multi-cloud infrastructures. These platforms leverage advanced log analytics and telemetry data analysis to provide a holistic view of system health. The focus is on creating a self-improving ai system that can adapt to changing operational patterns and provide actionable insights for continuous optimization.
How is this AI Operations (AIOPS) Industry segmented?
The ai operations (AIOPS) industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in "USD million" for the period 2025-2029, as well as historical data from 2019 - 2023 for the following segments.
- Component
- Deployment
- Organization size
- Sector
- BFSI
- IT and telecom
- Healthcare
- Retail
- Others
- Geography
- North America
- APAC
- China
- India
- Japan
- South Korea
- Australia
- Europe
- Middle East and Africa
- South America
- Rest of World (ROW)
By Component Insights
The platform segment is estimated to witness significant growth during the forecast period.
The platform segment is central to the ai operations market, providing the core software solutions that automate and enhance it operations through artificial intelligence. These platforms integrate diverse data sources, including metrics, logs, and traces, to deliver comprehensive real-time observability and actionable insights. Key functionalities such as proactive anomaly detection, automated root cause analysis, and predictive analytics are fundamental to these offerings. They are designed to manage it infrastructure complexity and identify performance bottlenecks before they affect service levels.
The evolution of these platforms is driven by the increasing complexity of modern it environments and the demand for proactive problem resolution. The segment is experiencing significant innovation, with a focus on scalability, seamless integration, and adaptability to hybrid and multi-cloud setups, with year-over-year growth for the platform segment reaching approximately 18.4%. The growing demand for explainable ai is also shaping platform development, as it allows it professionals to understand the rationale behind ai recommendations, fostering greater trust and adoption in managing operational data correlation.
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The Platform segment was valued at USD 553.40 million in 2019 and showed a gradual increase during the forecast period.
Regional Analysis
North America is estimated to contribute 36.8% to the growth of the global market during the forecast period.Technavio’s analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.
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The North America ai operations market continues to lead globally, driven by its advanced technological infrastructure, a robust investment ecosystem, and the early adoption of artificial intelligence across enterprise it operations. The region's focus on managing it infrastructure complexity has accelerated the integration of aiops tools to oversee intricate hybrid and multi-cloud environments. Enterprises across the region are increasingly leveraging these solutions to enhance service reliability, improve decision-making, and achieve proactive problem resolution through advanced digital transformation enablers.
This dominance is expected to continue, with the region accounting for over 36.8% of the global market's incremental growth opportunity. The emphasis on scalable platforms and the integration of machine learning with big data analytics have positioned North America as a strategic leader in digital transformation. As organizations seek to optimize it operations and respond to evolving customer expectations, the demand for aiops solutions that can manage hybrid cloud infrastructure and enable proactive insights is set to maintain its strong growth trajectory throughout the forecast period.
Market Dynamics
Our researchers analyzed the data with 2024 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.
The Global AI Operations (AIOPS) Market is experiencing significant growth, driven by adoption across various sectors. The Global AI Operations (AIOPS) Market for BFSI sector and the Global AI Operations (AIOPS) Market in IT and telecom are leading the charge, closely followed by the Global AI Operations (AIOPS) Market in healthcare industry and increasing use in Global AI Operations (AIOPS) Market for retail applications. Furthermore, the expansion of AIOps in manufacturing for Global AI Operations (AIOPS) Market and rising government adoption of Global AI Operations (AIOPS) Market are creating new opportunities. This growth is seen in both the Global AI Operations (AIOPS) Market for large enterprises and the Global AI Operations (AIOPS) Market for SMEs. Organizations are choosing between on premises deployment in Global AI Operations (AIOPS) Market and the increasingly popular cloud deployment for Global AI Operations (AIOPS) Market. The market is also segmented by offerings, with both the platform segment of Global AI Operations (AIOPS) Market and the services segment in Global AI Operations (AIOPS) Market showing robust expansion.Key business drivers include managing complexity with Global AI Operations (AIOPS) Market and enabling proactive detection using Global AI Operations (AIOPS) Market. AIOps is pivotal in addressing IT skill shortage with Global AI Operations (AIOPS) Market and streamlining hybrid cloud management in Global AI Operations (AIOPS) Market. For modern software delivery, integrating DevOps with Global AI Operations (AIOPS) Market is essential for overcoming data silos in Global AI Operations (AIOPS) Market. However, organizations must consider the initial implementation costs of Global AI Operations (AIOPS) Market, making a strong ROI justification for Global AI Operations (AIOPS) Market a critical step for successful adoption and long-term value realization.
What are the key market drivers leading to the rise in the adoption of AI Operations (AIOPS) Industry?
- The escalating complexity of modern IT environments is the key factor driving the expansion of the global AI operations (AIOPS) market.
The escalating intricacy of modern information technology environments is a primary factor for the expansion of the ai operations market. Organizations contend with hybrid cloud infrastructures, microservices, and a proliferation of diverse applications that generate unprecedented volumes of operational data. This complexity makes manual monitoring and management exceedingly challenging, leading to delayed issue identification and increased mean time to resolution. Aiops platforms address this by employing ai and machine learning to automate the analysis of logs, metrics, and traces. They provide proactive anomaly detection and predictive insights, with some users reporting a 30 percent improvement in incident resolution speed. This transforms reactive it operations into a more predictive and preventive paradigm, enhancing it infrastructure complexity management.The growing need for proactive incident prevention is another significant driver for the global ai operations market. Traditional it operations often rely on reactive thresholds and alerts, which are triggered after an issue has already begun to impact services. In today's always-on business environment, even minor downtime can lead to substantial financial and reputational damage. Organizations are therefore seeking solutions that can detect subtle anomalies and predict potential failures before they escalate. Aiops platforms excel in this regard, using machine learning to learn normal system behavior and identify deviations. This predictive capability, which has led to a 25 percent reduction in customer-impacting outages in some cases, enables it teams to intervene preventively and maintain service reliability through proactive problem resolution.
What are the market trends shaping the AI Operations (AIOPS) Industry?
- The widespread adoption of hybrid and multi-cloud strategies by enterprises worldwide represents a significant upcoming trend for the global AI operations (AIOPS) market.
The increasing adoption of hybrid cloud and multi-cloud strategies represents a significant trend for the global ai operations market. As organizations move beyond traditional on-premises infrastructures, they encounter greater complexity in managing and monitoring diverse it environments. Aiops solutions address these challenges by providing centralized visibility, automated anomaly detection, and intelligent root cause analysis across these landscapes. Leveraging artificial intelligence, these platforms ingest and analyze data from various sources, including on-premises and cloud infrastructures, supporting effective hybrid ai deployment. This holistic perspective is crucial for maintaining service level agreements and ensuring business continuity, with some regions representing over 36.8% of the global opportunity, highlighting the importance of multi-cloud observability.The shift from reactive to proactive it operations is a fundamental trend propelling the growth of the aiops market. Organizations are increasingly seeking to identify and resolve issues before they escalate, as traditional monitoring systems often lead to alert fatigue. Aiops addresses this with advanced anomaly detection and predictive analytics, employing machine learning to establish baselines of normal system behavior and detect deviations. This foresight empowers it teams to take pre-emptive action, preventing service disruptions. The demand for such proactive capabilities is strong in high-growth digital economies, with certain regions accounting for over 26.86% of the global market. This showcases a clear trajectory towards intelligent, preventive it operations supported by a self-improving ai system and ai integration platforms.
What challenges does the AI Operations (AIOPS) Industry face during its growth?
- The persistence of data silos and the complexities of integration present a significant challenge to the widespread implementation of AI Operations (AIOPS) solutions.
The pervasive issue of data silos presents a significant hurdle for the effective implementation of ai operations solutions. Organizations often maintain critical operational data within disparate systems, including monitoring tools, incident management platforms, and various cloud services. This fragmentation makes it exceedingly difficult to consolidate and normalize data into a unified format suitable for aiops algorithms. The integration effort required to bridge these silos is substantial, demanding significant investment in time and resources. This challenge is exacerbated by the rapid evolution of hybrid and multi-cloud environments, where each platform possesses its own data formats. Without a standardized approach to data collection and a robust data fabric for ai, the predictive capabilities of aiops are severely hampered, delaying time-to-value.A significant impediment to the wider adoption of aiops solutions is the prevailing skill gap and talent shortage. Aiops platforms demand a unique blend of expertise spanning traditional it operations, data science, and machine learning engineering. The scarcity of professionals with this multifaceted skill set presents a substantial barrier for organizations seeking to implement and optimize aiops initiatives. This challenge is not merely about finding data scientists but also involves upskilling traditional it operators to understand the outputs of aiops systems and trust automated recommendations. The high criticality of specialized labor in this domain means that without addressing the talent shortage, the full potential of aiops to revolutionize it operations through it talent gap mitigation remains unrealized.
Exclusive Customer Landscape
The ai operations (AIOPS) market forecasting report includes the adoption lifecycle of the market, covering from the innovator’s stage to the laggard’s stage. It focuses on adoption rates in different regions based on penetration. Furthermore, the ai operations (AIOPS) market report also includes key purchase criteria and drivers of price sensitivity to help companies evaluate and develop their market growth analysis strategies.
Customer Landscape
Key Companies & Market Insights
Companies are implementing various strategies, such as strategic alliances, ai operations (AIOPS) market forecast, partnerships, mergers and acquisitions, geographical expansion, and product/service launches, to enhance their presence in the industry.
Aisera Inc. - AI operations (AIOPS) offerings provide a unified platform that leverages AI and machine learning to automate and enhance IT operations. These solutions enable autonomous execution across various business domains, including IT, finance, and customer service, by utilizing context-aware agents and advanced language models. Core functionalities include intelligent observability, automated incident detection and response, and predictive root cause analysis. By orchestrating complex workflows and providing real-time system optimization, these platforms help organizations streamline processes, reduce manual intervention in L1 support, and improve overall operational resilience. The integration of causal, predictive, and generative reasoning allows for sophisticated analysis of IT ecosystems, turning vast amounts of data into actionable insights for continuous improvement.
The industry research and growth report includes detailed analyses of the competitive landscape of the market and information about key companies, including:
- Aisera Inc.
- BigPanda Inc.
- BMC Software Inc.
- Broadcom Inc.
- Cisco Systems Inc.
- Datadog Inc.
- Dell Technologies Inc.
- Dynatrace Inc.
- Google LLC
- International Business Machines Corp.
- LogicMonitor Inc.
- Microsoft Corp.
- Netreo Inc.
- New Relic Inc.
- PagerDuty Inc.
- SolarWinds Corp.
- Zoho Corp. Pvt. Ltd.
Qualitative and quantitative analysis of companies has been conducted to help clients understand the wider business environment as well as the strengths and weaknesses of key industry players. Data is qualitatively analyzed to categorize companies as pure play, category-focused, industry-focused, and diversified; it is quantitatively analyzed to categorize companies as dominant, leading, strong, tentative, and weak.
Recent Development and News in Ai Operations (AIOPS) Market
In June 2024, ServiceNow unveiled new AI features for its Now Platform, including expanded AIOps functionalities designed to automate IT service management and operations workflows.In March 2024, Microsoft Azure introduced new generative AI features within its AIOps suite, aimed at improving observability and reducing mean time to resolution across distributed systems.In March 2024, Hewlett Packard Enterprise introduced the next generation of its networking central platform, which integrates AIOps capabilities to streamline factory operations and enhance retail experiences.In February 2024, IBM expanded its Watsonx platform to include enhanced AIOps capabilities for hybrid cloud environments, enabling predictive incident management and automated root cause analysis.
Research Analyst Overview
The global AI operations (AIOPS) market is defined by its role in managing increasing it infrastructure complexity through a preventive it paradigm, leveraging proactive anomaly detection and predictive analytics for predictive outage prevention. Through real-time observability, these systems perform operational data correlation using extensive log analytics and metrics and traces analysis. This facilitates automated root cause analysis and performance bottleneck identification, which are critical for enhancing it operational efficiency. The integration with it service management (ITSM) and focus on system behavior baselining streamlines processes, enabling a significant reduction in mean time to resolution (MTTR) across complex hybrid cloud infrastructure and environments requiring microservices architecture monitoring, thereby fostering greater operational resilience.Building on this foundation, the market's evolution incorporates incident management automation and automated remediation to fulfill service level agreement (SLA) commitments, with industry analysis indicating that over 60% of large enterprises are projected to adopt these platforms. Advanced capabilities such as intelligent alerting and autonomous agent orchestration are becoming standard, supporting devops pipeline integration, continuous delivery support, and site reliability engineering (SRE) principles. The approach now extends to multi-cloud observability, network performance monitoring, and cloud-native application monitoring. The integration of generative ai workflows and hypermodal ai integration, facilitated by a cohesive data fabric for ai, ongoing ai model fine-tuning, and accurate configuration management database (CMDB) data, is unlocking deeper ai-driven insights and enabling workflow automation.
Dive into Technavio’s robust research methodology, blending expert interviews, extensive data synthesis, and validated models for unparalleled AI Operations (AIOPS) Market insights. See full methodology.
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Market Scope
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Report Coverage
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Details
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Page number
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281
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Base year
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2024
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Historic period
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2019 - 2023 |
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Forecast period
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2025-2029
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Growth momentum & CAGR
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Accelerating at a CAGR of 21.0%
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Market growth 2024-2029
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USD 21.0 billion
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Market structure
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Fragmented
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YoY growth 2024-2029(%)
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18.7%
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Key countries
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US, Canada, China, India, Japan, South Korea, Australia, Germany, UK, France, South Africa, UAE, Brazil, Argentina
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Competitive landscape
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Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks
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What are the Key Data Covered in this AI Operations (AIOPS) Market Research and Growth Report?
- CAGR of the AI Operations (AIOPS) industry during the forecast period
- Detailed information on factors that will drive the growth and forecasting between 2024 and 2029
- Precise estimation of the size of the market and its contribution of the industry in focus to the parent market
- Accurate predictions about upcoming growth and trends and changes in consumer behaviour
- Growth of the market across North America, APAC, Europe, Middle East and Africa, South America
- Thorough analysis of the market’s competitive landscape and detailed information about companies
- Comprehensive analysis of factors that will challenge the ai operations (AIOPS) market growth of industry companies
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1 Executive Summary
- 1 Executive Summary
- 1.1 Market overview
- Executive Summary - Chart on Market Overview
- Executive Summary - Data Table on Market Overview
- Executive Summary - Chart on Global Market Characteristics
- Executive Summary - Chart on Market by Geography
- Executive Summary - Chart on Market Segmentation by Component
- Executive Summary - Chart on Market Segmentation by Deployment
- Executive Summary - Chart on Market Segmentation by Organization Size
- Executive Summary - Chart on Market Segmentation by Sector
- Executive Summary - Chart on Incremental Growth
- Executive Summary - Data Table on Incremental Growth
- Executive Summary - Chart on Company Market Positioning
2 Technavio Analysis
- 2 Technavio Analysis
- 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
- Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
- 2.2 Criticality of inputs and Factors of differentiation
- Chart on Overview on criticality of inputs and factors of differentiation
- 2.3 Factors of disruption
- Chart on Overview on factors of disruption
- 2.4 Impact of drivers and challenges
- Chart on Impact of drivers and challenges in 2024 and 2029
3 Market Landscape
- 3 Market Landscape
- 3.1 Market ecosystem
- Chart on Parent Market
- Data Table on - Parent Market
- 3.2 Market characteristics
- Chart on Market characteristics analysis
- 3.3 Value chain analysis
- Chart on Value chain analysis
4 Market Sizing
- 4 Market Sizing
- 4.1 Market definition
- Data Table on Offerings of companies included in the market definition
- 4.2 Market segment analysis
- 4.3 Market size 2024
- 4.4 Market outlook: Forecast for 2024-2029
- Chart on Global - Market size and forecast 2024-2029 ($ billion)
- Data Table on Global - Market size and forecast 2024-2029 ($ billion)
- Chart on Global Market: Year-over-year growth 2024-2029 (%)
- Data Table on Global Market: Year-over-year growth 2024-2029 (%)
5 Historic Market Size
- 5 Historic Market Size
- 5.1 Global AI Operations (AIOps) Market 2019 - 2023
- Historic Market Size - Data Table on Global AI Operations (AIOps) Market 2019 - 2023 ($ billion)
- 5.2 Component segment analysis 2019 - 2023
- Historic Market Size - Component Segment 2019 - 2023 ($ billion)
- 5.3 Deployment segment analysis 2019 - 2023
- Historic Market Size - Deployment Segment 2019 - 2023 ($ billion)
- 5.4 Organization Size segment analysis 2019 - 2023
- Historic Market Size - Organization Size Segment 2019 - 2023 ($ billion)
- 5.5 Sector segment analysis 2019 - 2023
- Historic Market Size - Sector Segment 2019 - 2023 ($ billion)
- 5.6 Geography segment analysis 2019 - 2023
- Historic Market Size - Geography Segment 2019 - 2023 ($ billion)
- 5.7 Country segment analysis 2019 - 2023
- Historic Market Size - Country Segment 2019 - 2023 ($ billion)
6 Five Forces Analysis
- 6 Five Forces Analysis
- 6.1 Five forces summary
- Five forces analysis - Comparison between 2024 and 2029
- 6.2 Bargaining power of buyers
- Bargaining power of buyers - Impact of key factors 2024 and 2029
- 6.3 Bargaining power of suppliers
- Bargaining power of suppliers - Impact of key factors in 2024 and 2029
- 6.4 Threat of new entrants
- Threat of new entrants - Impact of key factors in 2024 and 2029
- 6.5 Threat of substitutes
- Threat of substitutes - Impact of key factors in 2024 and 2029
- 6.6 Threat of rivalry
- Threat of rivalry - Impact of key factors in 2024 and 2029
- 6.7 Market condition
- Chart on Market condition - Five forces 2024 and 2029
7 Market Segmentation by Component
- 7 Market Segmentation by Component
- 7.1 Market segments
- Chart on Component - Market share 2024-2029 (%)
- Data Table on Component - Market share 2024-2029 (%)
- 7.2 Comparison by Component
- Chart on Comparison by Component
- Data Table on Comparison by Component
- 7.3 Platform - Market size and forecast 2024-2029
- Chart on Platform - Market size and forecast 2024-2029 ($ billion)
- Data Table on Platform - Market size and forecast 2024-2029 ($ billion)
- Chart on Platform - Year-over-year growth 2024-2029 (%)
- Data Table on Platform - Year-over-year growth 2024-2029 (%)
- 7.4 Services - Market size and forecast 2024-2029
- Chart on Services - Market size and forecast 2024-2029 ($ billion)
- Data Table on Services - Market size and forecast 2024-2029 ($ billion)
- Chart on Services - Year-over-year growth 2024-2029 (%)
- Data Table on Services - Year-over-year growth 2024-2029 (%)
- 7.5 Market opportunity by Component
- Market opportunity by Component ($ billion)
- Data Table on Market opportunity by Component ($ billion)
8 Market Segmentation by Deployment
- 8 Market Segmentation by Deployment
- 8.1 Market segments
- Chart on Deployment - Market share 2024-2029 (%)
- Data Table on Deployment - Market share 2024-2029 (%)
- 8.2 Comparison by Deployment
- Chart on Comparison by Deployment
- Data Table on Comparison by Deployment
- 8.3 On premises - Market size and forecast 2024-2029
- Chart on On premises - Market size and forecast 2024-2029 ($ billion)
- Data Table on On premises - Market size and forecast 2024-2029 ($ billion)
- Chart on On premises - Year-over-year growth 2024-2029 (%)
- Data Table on On premises - Year-over-year growth 2024-2029 (%)
- 8.4 Cloud - Market size and forecast 2024-2029
- Chart on Cloud - Market size and forecast 2024-2029 ($ billion)
- Data Table on Cloud - Market size and forecast 2024-2029 ($ billion)
- Chart on Cloud - Year-over-year growth 2024-2029 (%)
- Data Table on Cloud - Year-over-year growth 2024-2029 (%)
- 8.5 Market opportunity by Deployment
- Market opportunity by Deployment ($ billion)
- Data Table on Market opportunity by Deployment ($ billion)
9 Market Segmentation by Organization Size
- 9 Market Segmentation by Organization Size
- 9.1 Market segments
- Chart on Market Segmentation by Organization Size - Market share 2024-2029 (%)
- Data Table on Market Segmentation by Organization Size - Market share 2024-2029 (%)
- 9.2 Comparison by Market Segmentation by Organization Size
- Chart on Comparison by Market Segmentation by Organization Size
- Data Table on Comparison by Market Segmentation by Organization Size
- 9.3 Large enterprises - Market size and forecast 2024-2029
- Chart on Large enterprises - Market size and forecast 2024-2029 ($ billion)
- Data Table on Large enterprises - Market size and forecast 2024-2029 ($ billion)
- Chart on Large enterprises - Year-over-year growth 2024-2029 (%)
- Data Table on Large enterprises - Year-over-year growth 2024-2029 (%)
- 9.4 SMEs - Market size and forecast 2024-2029
- Chart on SMEs - Market size and forecast 2024-2029 ($ billion)
- Data Table on SMEs - Market size and forecast 2024-2029 ($ billion)
- Chart on SMEs - Year-over-year growth 2024-2029 (%)
- Data Table on SMEs - Year-over-year growth 2024-2029 (%)
- 9.5 Market opportunity by Market Segmentation by Organization Size
- Market opportunity by Market Segmentation by Organization Size ($ billion)
- Data Table on Market opportunity by Market Segmentation by Organization Size ($ billion)
10 Market Segmentation by Sector
- 10 Market Segmentation by Sector
- 10.1 Market segments
- Chart on Sector - Market share 2024-2029 (%)
- Data Table on Sector - Market share 2024-2029 (%)
- 10.2 Comparison by Sector
- Chart on Comparison by Sector
- Data Table on Comparison by Sector
- 10.3 BFSI - Market size and forecast 2024-2029
- Chart on BFSI - Market size and forecast 2024-2029 ($ billion)
- Data Table on BFSI - Market size and forecast 2024-2029 ($ billion)
- Chart on BFSI - Year-over-year growth 2024-2029 (%)
- Data Table on BFSI - Year-over-year growth 2024-2029 (%)
- 10.4 IT and telecom - Market size and forecast 2024-2029
- Chart on IT and telecom - Market size and forecast 2024-2029 ($ billion)
- Data Table on IT and telecom - Market size and forecast 2024-2029 ($ billion)
- Chart on IT and telecom - Year-over-year growth 2024-2029 (%)
- Data Table on IT and telecom - Year-over-year growth 2024-2029 (%)
- 10.5 Healthcare - Market size and forecast 2024-2029
- Chart on Healthcare - Market size and forecast 2024-2029 ($ billion)
- Data Table on Healthcare - Market size and forecast 2024-2029 ($ billion)
- Chart on Healthcare - Year-over-year growth 2024-2029 (%)
- Data Table on Healthcare - Year-over-year growth 2024-2029 (%)
- 10.6 Retail - Market size and forecast 2024-2029
- Chart on Retail - Market size and forecast 2024-2029 ($ billion)
- Data Table on Retail - Market size and forecast 2024-2029 ($ billion)
- Chart on Retail - Year-over-year growth 2024-2029 (%)
- Data Table on Retail - Year-over-year growth 2024-2029 (%)
- 10.7 Others - Market size and forecast 2024-2029
- Chart on Others - Market size and forecast 2024-2029 ($ billion)
- Data Table on Others - Market size and forecast 2024-2029 ($ billion)
- Chart on Others - Year-over-year growth 2024-2029 (%)
- Data Table on Others - Year-over-year growth 2024-2029 (%)
- 10.8 Market opportunity by Sector
- Market opportunity by Sector ($ billion)
- Data Table on Market opportunity by Sector ($ billion)
11 Customer Landscape
- 11 Customer Landscape
- 11.1 Customer landscape overview
- Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
12 Geographic Landscape
- 12 Geographic Landscape
- 12.1 Geographic segmentation
- Chart on Market share by geography 2024-2029 (%)
- Data Table on Market share by geography 2024-2029 (%)
- 12.2 Geographic comparison
- Chart on Geographic comparison
- Data Table on Geographic comparison
- 12.3 North America - Market size and forecast 2024-2029
- Chart on North America - Market size and forecast 2024-2029 ($ billion)
- Data Table on North America - Market size and forecast 2024-2029 ($ billion)
- Chart on North America - Year-over-year growth 2024-2029 (%)
- Data Table on North America - Year-over-year growth 2024-2029 (%)
- Chart on Regional Comparison - North America
- Data Table on Regional Comparison - North America
- 12.3.1 US - Market size and forecast 2024-2029
- Chart on US - Market size and forecast 2024-2029 ($ billion)
- Data Table on US - Market size and forecast 2024-2029 ($ billion)
- Chart on US - Year-over-year growth 2024-2029 (%)
- Data Table on US - Year-over-year growth 2024-2029 (%)
- 12.3.2 Canada - Market size and forecast 2024-2029
- Chart on Canada - Market size and forecast 2024-2029 ($ billion)
- Data Table on Canada - Market size and forecast 2024-2029 ($ billion)
- Chart on Canada - Year-over-year growth 2024-2029 (%)
- Data Table on Canada - Year-over-year growth 2024-2029 (%)
- 12.4 APAC - Market size and forecast 2024-2029
- Chart on APAC - Market size and forecast 2024-2029 ($ billion)
- Data Table on APAC - Market size and forecast 2024-2029 ($ billion)
- Chart on APAC - Year-over-year growth 2024-2029 (%)
- Data Table on APAC - Year-over-year growth 2024-2029 (%)
- Chart on Regional Comparison - APAC
- Data Table on Regional Comparison - APAC
- 12.4.1 China - Market size and forecast 2024-2029
- Chart on China - Market size and forecast 2024-2029 ($ billion)
- Data Table on China - Market size and forecast 2024-2029 ($ billion)
- Chart on China - Year-over-year growth 2024-2029 (%)
- Data Table on China - Year-over-year growth 2024-2029 (%)
- 12.4.2 India - Market size and forecast 2024-2029
- Chart on India - Market size and forecast 2024-2029 ($ billion)
- Data Table on India - Market size and forecast 2024-2029 ($ billion)
- Chart on India - Year-over-year growth 2024-2029 (%)
- Data Table on India - Year-over-year growth 2024-2029 (%)
- 12.4.3 Japan - Market size and forecast 2024-2029
- Chart on Japan - Market size and forecast 2024-2029 ($ billion)
- Data Table on Japan - Market size and forecast 2024-2029 ($ billion)
- Chart on Japan - Year-over-year growth 2024-2029 (%)
- Data Table on Japan - Year-over-year growth 2024-2029 (%)
- 12.4.4 South Korea - Market size and forecast 2024-2029
- Chart on South Korea - Market size and forecast 2024-2029 ($ billion)
- Data Table on South Korea - Market size and forecast 2024-2029 ($ billion)
- Chart on South Korea - Year-over-year growth 2024-2029 (%)
- Data Table on South Korea - Year-over-year growth 2024-2029 (%)
- 12.4.5 Australia - Market size and forecast 2024-2029
- Chart on Australia - Market size and forecast 2024-2029 ($ billion)
- Data Table on Australia - Market size and forecast 2024-2029 ($ billion)
- Chart on Australia - Year-over-year growth 2024-2029 (%)
- Data Table on Australia - Year-over-year growth 2024-2029 (%)
- 12.5 Europe - Market size and forecast 2024-2029
- Chart on Europe - Market size and forecast 2024-2029 ($ billion)
- Data Table on Europe - Market size and forecast 2024-2029 ($ billion)
- Chart on Europe - Year-over-year growth 2024-2029 (%)
- Data Table on Europe - Year-over-year growth 2024-2029 (%)
- Chart on Regional Comparison - Europe
- Data Table on Regional Comparison - Europe
- 12.5.1 Germany - Market size and forecast 2024-2029
- Chart on Germany - Market size and forecast 2024-2029 ($ billion)
- Data Table on Germany - Market size and forecast 2024-2029 ($ billion)
- Chart on Germany - Year-over-year growth 2024-2029 (%)
- Data Table on Germany - Year-over-year growth 2024-2029 (%)
- 12.5.2 UK - Market size and forecast 2024-2029
- Chart on UK - Market size and forecast 2024-2029 ($ billion)
- Data Table on UK - Market size and forecast 2024-2029 ($ billion)
- Chart on UK - Year-over-year growth 2024-2029 (%)
- Data Table on UK - Year-over-year growth 2024-2029 (%)
- 12.5.3 France - Market size and forecast 2024-2029
- Chart on France - Market size and forecast 2024-2029 ($ billion)
- Data Table on France - Market size and forecast 2024-2029 ($ billion)
- Chart on France - Year-over-year growth 2024-2029 (%)
- Data Table on France - Year-over-year growth 2024-2029 (%)
- 12.6 Middle East and Africa - Market size and forecast 2024-2029
- Chart on Middle East and Africa - Market size and forecast 2024-2029 ($ billion)
- Data Table on Middle East and Africa - Market size and forecast 2024-2029 ($ billion)
- Chart on Middle East and Africa - Year-over-year growth 2024-2029 (%)
- Data Table on Middle East and Africa - Year-over-year growth 2024-2029 (%)
- Chart on Regional Comparison - Middle East and Africa
- Data Table on Regional Comparison - Middle East and Africa
- 12.6.1 South Africa - Market size and forecast 2024-2029
- Chart on South Africa - Market size and forecast 2024-2029 ($ billion)
- Data Table on South Africa - Market size and forecast 2024-2029 ($ billion)
- Chart on South Africa - Year-over-year growth 2024-2029 (%)
- Data Table on South Africa - Year-over-year growth 2024-2029 (%)
- 12.6.2 UAE - Market size and forecast 2024-2029
- Chart on UAE - Market size and forecast 2024-2029 ($ billion)
- Data Table on UAE - Market size and forecast 2024-2029 ($ billion)
- Chart on UAE - Year-over-year growth 2024-2029 (%)
- Data Table on UAE - Year-over-year growth 2024-2029 (%)
- 12.7 South America - Market size and forecast 2024-2029
- Chart on South America - Market size and forecast 2024-2029 ($ billion)
- Data Table on South America - Market size and forecast 2024-2029 ($ billion)
- Chart on South America - Year-over-year growth 2024-2029 (%)
- Data Table on South America - Year-over-year growth 2024-2029 (%)
- Chart on Regional Comparison - South America
- Data Table on Regional Comparison - South America
- 12.7.1 Brazil - Market size and forecast 2024-2029
- Chart on Brazil - Market size and forecast 2024-2029 ($ billion)
- Data Table on Brazil - Market size and forecast 2024-2029 ($ billion)
- Chart on Brazil - Year-over-year growth 2024-2029 (%)
- Data Table on Brazil - Year-over-year growth 2024-2029 (%)
- 12.7.2 Argentina - Market size and forecast 2024-2029
- Chart on Argentina - Market size and forecast 2024-2029 ($ billion)
- Data Table on Argentina - Market size and forecast 2024-2029 ($ billion)
- Chart on Argentina - Year-over-year growth 2024-2029 (%)
- Data Table on Argentina - Year-over-year growth 2024-2029 (%)
- 12.8 Market opportunity by geography
- Market opportunity by geography ($ billion)
- Data Tables on Market opportunity by geography ($ billion)
13 Drivers, Challenges, and Opportunity
- 13 Drivers, Challenges, and Opportunity
- 13.1 Market drivers
- Increasing complexity of IT environments
- Growing need for proactive anomaly detection and predictive analytics
- Shortage of skilled IT professionals and need for operational efficiency
- 13.2 Market challenges
- Data silos and integration complexities
- Skill gap and talent shortage
- High implementation costs and ROI justification
- 13.3 Impact of drivers and challenges
- Impact of drivers and challenges in 2024 and 2029
- 13.4 Market opportunities
- Proliferation of hybrid cloud and multi-cloud environments
- Growing demand for proactive anomaly detection and predictive analytics
- Integration of AIOps with DevOps and SRE practices
14 Competitive Landscape
- 14 Competitive Landscape
- 14.1 Overview
- 14.2 Competitive Landscape
- Overview on criticality of inputs and factors of differentiation
- 14.3 Landscape disruption
- Overview on factors of disruption
- 14.4 Industry risks
- Impact of key risks on business
15 Competitive Analysis
- 15 Competitive Analysis
- 15.1 Companies profiled
- 15.2 Company ranking index
- 15.3 Market positioning of companies
- Matrix on companies position and classification
- 15.4 Aisera Inc.
- Aisera Inc. - Overview
- Aisera Inc. - Product / Service
- Aisera Inc. - Key offerings
- SWOT
- 15.5 BigPanda Inc.
- BigPanda Inc. - Overview
- BigPanda Inc. - Product / Service
- BigPanda Inc. - Key offerings
- SWOT
- 15.6 BMC Software Inc.
- BMC Software Inc. - Overview
- BMC Software Inc. - Product / Service
- BMC Software Inc. - Key offerings
- SWOT
- 15.7 Broadcom Inc.
- Broadcom Inc. - Overview
- Broadcom Inc. - Business segments
- Broadcom Inc. - Key news
- Broadcom Inc. - Key offerings
- Broadcom Inc. - Segment focus
- SWOT
- 15.8 Cisco Systems Inc.
- Cisco Systems Inc. - Overview
- Cisco Systems Inc. - Business segments
- Cisco Systems Inc. - Key news
- Cisco Systems Inc. - Key offerings
- Cisco Systems Inc. - Segment focus
- SWOT
- 15.9 Datadog Inc.
- Datadog Inc. - Overview
- Datadog Inc. - Product / Service
- Datadog Inc. - Key offerings
- SWOT
- 15.10 Dell Technologies Inc.
- Dell Technologies Inc. - Overview
- Dell Technologies Inc. - Business segments
- Dell Technologies Inc. - Key news
- Dell Technologies Inc. - Key offerings
- Dell Technologies Inc. - Segment focus
- SWOT
- 15.11 Dynatrace Inc.
- Dynatrace Inc. - Overview
- Dynatrace Inc. - Product / Service
- Dynatrace Inc. - Key news
- Dynatrace Inc. - Key offerings
- SWOT
- 15.12 Google LLC
- Google LLC - Overview
- Google LLC - Product / Service
- Google LLC - Key offerings
- SWOT
- 15.13 International Business Machines Corp.
- International Business Machines Corp. - Overview
- International Business Machines Corp. - Business segments
- International Business Machines Corp. - Key news
- International Business Machines Corp. - Key offerings
- International Business Machines Corp. - Segment focus
- SWOT
- 15.14 LogicMonitor Inc.
- LogicMonitor Inc. - Overview
- LogicMonitor Inc. - Product / Service
- LogicMonitor Inc. - Key offerings
- SWOT
- 15.15 Microsoft Corp.
- Microsoft Corp. - Overview
- Microsoft Corp. - Business segments
- Microsoft Corp. - Key news
- Microsoft Corp. - Key offerings
- Microsoft Corp. - Segment focus
- SWOT
- 15.16 New Relic Inc.
- New Relic Inc. - Overview
- New Relic Inc. - Product / Service
- New Relic Inc. - Key offerings
- SWOT
- 15.17 PagerDuty Inc.
- PagerDuty Inc. - Overview
- PagerDuty Inc. - Product / Service
- PagerDuty Inc. - Key offerings
- SWOT
- 15.18 Zoho Corp. Pvt. Ltd.
- Zoho Corp. Pvt. Ltd. - Overview
- Zoho Corp. Pvt. Ltd. - Product / Service
- Zoho Corp. Pvt. Ltd. - Key news
- Zoho Corp. Pvt. Ltd. - Key offerings
- SWOT
16 Appendix
- 16 Appendix
- 16.1 Scope of the report
- Market definition
- Objectives
- Notes and caveats
- 16.2 Inclusions and exclusions checklist
- Inclusions checklist
- Exclusions checklist
- 16.3 Currency conversion rates for US$
- Currency conversion rates for US$
- 16.4 Research methodology
- 16.5 Data procurement
- 16.6 Data validation
- 16.7 Validation techniques employed for market sizing
- Validation techniques employed for market sizing
- 16.8 Data synthesis
- 16.9 360 degree market analysis
- 360 degree market analysis
- 16.10 List of abbreviations
INFORMATION SOURCES
DATA ANALYSIS
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