IT Infrastructure Monitoring Market by Component (Services, Solutions), Monitoring Type (Historical Monitoring, Predictive Analytics, Real Time Monitoring), Organization Size, Deployment Mode, Vertical - Global Forecast 2025-2032
Description
The IT Infrastructure Monitoring Market was valued at USD 6.49 billion in 2024 and is projected to grow to USD 7.34 billion in 2025, with a CAGR of 13.34%, reaching USD 17.69 billion by 2032.
A strategic executive overview framing IT infrastructure monitoring as a business-critical capability for reliability, security, and customer experience
The modern enterprise depends on continuous visibility into the performance, security, and capacity of distributed IT assets. As application architectures evolve and user expectations intensify, monitoring capability is no longer an operational luxury but a strategic enabler that shapes reliability, user experience, and risk posture. Executive leaders must therefore frame monitoring as a cross-functional discipline that ties engineering, security, and operations into a coherent set of priorities and investment decisions.
To do this, decision-makers should consider monitoring through the lens of business outcomes rather than purely technical metrics. Observability practices must deliver measurable improvements in incident mean time to detection and resolution, strengthen compliance and audit readiness, and underpin digital experience initiatives. By aligning monitoring goals with service-level objectives and commercial KPIs, leadership can convert technical telemetry into actionable business intelligence that informs capacity planning, vendor selection, and transformational projects.
How cloud-native architectures, observability-first telemetry, and ML-enabled analytics are redefining monitoring practices and operational resilience
The landscape for infrastructure monitoring is undergoing transformative shifts driven by architectural change, analytics maturation, and evolving security demands. Cloud-native architectures, microservices, and containerization require monitoring approaches that operate at scale and across ephemeral compute lifecycles. As a result, traditional agent-based approaches are converging with telemetry-first observability models that emphasize traces, metrics, and logs integrated through correlated analytics.
Concurrently, analytics and machine learning are reshaping how incidents are detected and prioritized. Predictive models and anomaly detection reduce noise and help teams focus on critical deviations, while causal analysis tools accelerate root cause identification. Security and monitoring functions are also converging; threat detection increasingly relies on infrastructure telemetry, and monitoring platforms are incorporating security-centric capabilities such as behavioral baselining and alert context enrichment. Finally, operational teams are adopting platform engineering and SRE practices, which formalize service-level objectives and embed monitoring into development lifecycles, ensuring that observability becomes a design consideration rather than an afterthought.
Comprehensive analysis of how US tariff adjustments in 2025 affected IT procurement, vendor pricing strategies, and supply chain resilience for monitoring programs
Tariff policy changes announced by the United States in 2025 produced a cumulative effect on IT procurement, supply chains, and vendor pricing strategies that warrants careful executive attention. Hardware vendors and original equipment manufacturers adjusted component sourcing and pricing to mitigate increased duties, prompting many procurement teams to re-evaluate lead times and supplier diversification. These shifts increased the value of flexible procurement models and inventory optimization practices across global operations.
Software and service contracts felt the ripple effects as vendors reassessed total cost of ownership and, in some cases, revised commercial models to preserve margins. Organizations with long hardware refresh cycles or heavy capital expenditure exposure experienced greater operational friction, while those leveraging cloud and managed services found opportunities to buffer tariff-driven cost volatility. In response, finance and procurement leaders are emphasizing contractual agility, multi-vendor strategies, and the use of hedging mechanisms where available to protect project timelines and maintain expected ROI for monitoring initiatives.
In-depth segmentation analysis showing component, deployment, organization, vertical, and monitoring-type distinctions to inform product and go-to-market strategies
Meaningful segmentation reveals where monitoring solutions and services must evolve to meet distinct technical and organizational requirements. By component, offerings bifurcate into Services and Solutions; Services include Managed Services and Professional Services, with Professional Services further subdividing into Consulting, Integration, and Support, while Solutions encompass capabilities such as Application Performance Monitoring, Network Performance Monitoring, Security Monitoring, Server Monitoring, and Storage Monitoring. This structural view clarifies how buyers balance ongoing operational support against productized monitoring stacks and helps vendors design bundled propositions aligned with customer lifecycle needs.
By deployment mode, environments span Cloud, Hybrid, and On Premises, with Cloud differentiating into Private Cloud and Public Cloud, and On Premises breaking down into Local Software and Traditional Data Center deployments. These distinctions influence architectural trade-offs, agent strategies, and data residency considerations. Organization size also matters: Large Enterprise and Small and Medium Enterprise profiles require different governance models, integration scales, and procurement processes, which directly inform commercialization and support approaches. Vertically, sectors such as BFSI, Government, Healthcare, and IT and Telecom impose varying regulatory and performance constraints that shape monitoring priorities.
Finally, monitoring type segmentation highlights methodological differences: Historical Monitoring, which includes Reporting and Trend Analysis, supports retrospective insight; Predictive Analytics, which comprises Anomaly Detection and Capacity Planning, anticipates issues before they impact services; and Real Time Monitoring, made up of Alerting and Dashboarding, focuses on immediate operational awareness. Together, these segmentation lenses enable nuanced product roadmaps and targeted go-to-market strategies that align technical capabilities with buyer expectations and compliance requirements.
Regional implications and adoption dynamics across the Americas, Europe, Middle East & Africa, and Asia-Pacific for monitoring strategies and deployments
Regional dynamics continue to drive divergent priorities and adoption patterns across the globe, necessitating region-aware strategies for monitoring product and service rollouts. The Americas region demonstrates strong appetite for integrated observability platforms and mature managed services that complement enterprise cloud adoption, with organizations prioritizing scalability and security integration to support hybrid estates. North American buyers often favor rapid time-to-value and advanced analytics capabilities, which influences licensing and support models.
Europe, Middle East & Africa exhibits heterogeneous demand shaped by regulatory diversity, localization requirements, and varying cloud maturity. Compliance-driven verticals in this region emphasize data residency, auditability, and privacy-preserving telemetry practices, while enterprises with distributed operations look for monitoring solutions that reconcile centralized oversight with local autonomy. In the Asia-Pacific region, rapid digital transformation, expansive telco modernization, and strong public cloud growth create fertile ground for scalable observability and managed service partnerships, though supply chain sensitivities and regional vendor ecosystems require adaptable commercial strategies. Understanding these regional characteristics helps vendors and buyers align deployment, support, and pricing approaches with local expectations and operational realities.
Competitive and partnership landscape insights highlighting how vendors, integrators, and managed service providers are differentiating in observability and monitoring
Competitive dynamics in the monitoring ecosystem are defined by a blend of established platform vendors, specialized observability firms, systems integrators, and managed service providers. Some providers differentiate through breadth of telemetry coverage and integrated analytics, enabling customers to consolidate toolchains and reduce mean time to remediation. Other firms compete on deep domain expertise and verticalized capabilities that meet industry-specific compliance and performance requirements, offering tailored workflows and professional services that accelerate adoption.
Partnerships and channel strategies also play a central role as vendors seek to extend reach through cloud marketplaces, referral networks, and systems integrator alliances. Service-led offerings such as outcome-based managed services and co-managed observability reduce buyer friction and support organizations with constrained in-house operational capacity. Additionally, the rise of open standards for telemetry and stronger ecosystem interoperability encourages customers to favor vendors that support hybrid environments and phased migration paths, facilitating incremental modernization without disruptive rip-and-replace approaches.
Action-oriented recommendations for executives to accelerate observability adoption, strengthen governance, and optimize commercial and operational outcomes
Leaders must act decisively to convert monitoring capability into competitive advantage by aligning technology choices with operational governance and business objectives. Prioritize architectures that support telemetry-first observability, ensuring that trace, metric, and log collection is consistent across environments and instrumented into CI/CD pipelines. This approach reduces blind spots and expedites incident diagnosis, while enabling automated testing of monitoring rules as part of delivery workflows.
Invest in analytics and automation that reduce alert fatigue and deliver contextual prioritization; combining anomaly detection with runbook automation can materially shorten resolution cycles. Simultaneously, embed security monitoring within infrastructure observability to create unified incident triage processes and enrich alerts with threat context. For procurement and finance, favor flexible commercial terms and multiyear service agreements that include defined SLAs and capacity planning support to mitigate supply chain or tariff volatility. Finally, cultivate cross-functional governance that ties monitoring metrics to service-level objectives, ensuring sustained executive sponsorship and continuous improvement through post-incident reviews and metric-driven incentives.
Robust mixed-methods research design integrating executive interviews, technical validation, and capability mapping to inform monitoring strategy decisions
The research approach blended qualitative and quantitative methods to construct a holistic view of monitoring practices, vendor strategies, and operational priorities. Primary inputs included structured interviews with senior infrastructure, security, and operations leaders, complemented by technical validation sessions with platform architects and SRE teams to capture implementation patterns and pain points. Secondary inputs encompassed vendor documentation, product release notes, and independent technical analyses to verify feature trajectories and interoperability commitments.
Data synthesis emphasized triangulation across sources to ensure robustness: interview findings were cross-referenced with product capabilities and real-world implementation case studies to highlight practical trade-offs. The methodology incorporated scenario-based assessment to evaluate solution suitability across deployment modes and organizational sizes, and it applied rigorous criteria for capability mapping such as telemetry coverage, analytics sophistication, integration flexibility, and service delivery models. This mixed-methods design balances depth of insight with applicability for decision-makers planning modernization and vendor selection initiatives.
Concluding synthesis emphasizing that observability modernization, governance, and analytics integration are essential for resilient, secure, and high-performing digital services
Enterprise monitoring is at an inflection point where observability practices, analytics maturity, and cross-functional governance determine operational resilience and digital experience quality. Organizations that prioritize telemetry-first architectures, embed monitoring into development lifecycles, and adopt predictive analytics will reduce operational friction and improve service reliability. Conversely, teams that treat monitoring as an afterthought risk extended incident durations and fragmented visibility across hybrid estates.
Leaders should therefore treat monitoring modernization as a strategic program rather than a point solution: align investments to business outcomes, establish clear service-level objectives, and ensure vendor and procurement practices support agility and resilience. By doing so, organizations will be better positioned to navigate supply chain disruptions, regulatory complexity, and rapid architectural change while delivering consistent performance and secure experiences for users and customers.
Note: PDF & Excel + Online Access - 1 Year
A strategic executive overview framing IT infrastructure monitoring as a business-critical capability for reliability, security, and customer experience
The modern enterprise depends on continuous visibility into the performance, security, and capacity of distributed IT assets. As application architectures evolve and user expectations intensify, monitoring capability is no longer an operational luxury but a strategic enabler that shapes reliability, user experience, and risk posture. Executive leaders must therefore frame monitoring as a cross-functional discipline that ties engineering, security, and operations into a coherent set of priorities and investment decisions.
To do this, decision-makers should consider monitoring through the lens of business outcomes rather than purely technical metrics. Observability practices must deliver measurable improvements in incident mean time to detection and resolution, strengthen compliance and audit readiness, and underpin digital experience initiatives. By aligning monitoring goals with service-level objectives and commercial KPIs, leadership can convert technical telemetry into actionable business intelligence that informs capacity planning, vendor selection, and transformational projects.
How cloud-native architectures, observability-first telemetry, and ML-enabled analytics are redefining monitoring practices and operational resilience
The landscape for infrastructure monitoring is undergoing transformative shifts driven by architectural change, analytics maturation, and evolving security demands. Cloud-native architectures, microservices, and containerization require monitoring approaches that operate at scale and across ephemeral compute lifecycles. As a result, traditional agent-based approaches are converging with telemetry-first observability models that emphasize traces, metrics, and logs integrated through correlated analytics.
Concurrently, analytics and machine learning are reshaping how incidents are detected and prioritized. Predictive models and anomaly detection reduce noise and help teams focus on critical deviations, while causal analysis tools accelerate root cause identification. Security and monitoring functions are also converging; threat detection increasingly relies on infrastructure telemetry, and monitoring platforms are incorporating security-centric capabilities such as behavioral baselining and alert context enrichment. Finally, operational teams are adopting platform engineering and SRE practices, which formalize service-level objectives and embed monitoring into development lifecycles, ensuring that observability becomes a design consideration rather than an afterthought.
Comprehensive analysis of how US tariff adjustments in 2025 affected IT procurement, vendor pricing strategies, and supply chain resilience for monitoring programs
Tariff policy changes announced by the United States in 2025 produced a cumulative effect on IT procurement, supply chains, and vendor pricing strategies that warrants careful executive attention. Hardware vendors and original equipment manufacturers adjusted component sourcing and pricing to mitigate increased duties, prompting many procurement teams to re-evaluate lead times and supplier diversification. These shifts increased the value of flexible procurement models and inventory optimization practices across global operations.
Software and service contracts felt the ripple effects as vendors reassessed total cost of ownership and, in some cases, revised commercial models to preserve margins. Organizations with long hardware refresh cycles or heavy capital expenditure exposure experienced greater operational friction, while those leveraging cloud and managed services found opportunities to buffer tariff-driven cost volatility. In response, finance and procurement leaders are emphasizing contractual agility, multi-vendor strategies, and the use of hedging mechanisms where available to protect project timelines and maintain expected ROI for monitoring initiatives.
In-depth segmentation analysis showing component, deployment, organization, vertical, and monitoring-type distinctions to inform product and go-to-market strategies
Meaningful segmentation reveals where monitoring solutions and services must evolve to meet distinct technical and organizational requirements. By component, offerings bifurcate into Services and Solutions; Services include Managed Services and Professional Services, with Professional Services further subdividing into Consulting, Integration, and Support, while Solutions encompass capabilities such as Application Performance Monitoring, Network Performance Monitoring, Security Monitoring, Server Monitoring, and Storage Monitoring. This structural view clarifies how buyers balance ongoing operational support against productized monitoring stacks and helps vendors design bundled propositions aligned with customer lifecycle needs.
By deployment mode, environments span Cloud, Hybrid, and On Premises, with Cloud differentiating into Private Cloud and Public Cloud, and On Premises breaking down into Local Software and Traditional Data Center deployments. These distinctions influence architectural trade-offs, agent strategies, and data residency considerations. Organization size also matters: Large Enterprise and Small and Medium Enterprise profiles require different governance models, integration scales, and procurement processes, which directly inform commercialization and support approaches. Vertically, sectors such as BFSI, Government, Healthcare, and IT and Telecom impose varying regulatory and performance constraints that shape monitoring priorities.
Finally, monitoring type segmentation highlights methodological differences: Historical Monitoring, which includes Reporting and Trend Analysis, supports retrospective insight; Predictive Analytics, which comprises Anomaly Detection and Capacity Planning, anticipates issues before they impact services; and Real Time Monitoring, made up of Alerting and Dashboarding, focuses on immediate operational awareness. Together, these segmentation lenses enable nuanced product roadmaps and targeted go-to-market strategies that align technical capabilities with buyer expectations and compliance requirements.
Regional implications and adoption dynamics across the Americas, Europe, Middle East & Africa, and Asia-Pacific for monitoring strategies and deployments
Regional dynamics continue to drive divergent priorities and adoption patterns across the globe, necessitating region-aware strategies for monitoring product and service rollouts. The Americas region demonstrates strong appetite for integrated observability platforms and mature managed services that complement enterprise cloud adoption, with organizations prioritizing scalability and security integration to support hybrid estates. North American buyers often favor rapid time-to-value and advanced analytics capabilities, which influences licensing and support models.
Europe, Middle East & Africa exhibits heterogeneous demand shaped by regulatory diversity, localization requirements, and varying cloud maturity. Compliance-driven verticals in this region emphasize data residency, auditability, and privacy-preserving telemetry practices, while enterprises with distributed operations look for monitoring solutions that reconcile centralized oversight with local autonomy. In the Asia-Pacific region, rapid digital transformation, expansive telco modernization, and strong public cloud growth create fertile ground for scalable observability and managed service partnerships, though supply chain sensitivities and regional vendor ecosystems require adaptable commercial strategies. Understanding these regional characteristics helps vendors and buyers align deployment, support, and pricing approaches with local expectations and operational realities.
Competitive and partnership landscape insights highlighting how vendors, integrators, and managed service providers are differentiating in observability and monitoring
Competitive dynamics in the monitoring ecosystem are defined by a blend of established platform vendors, specialized observability firms, systems integrators, and managed service providers. Some providers differentiate through breadth of telemetry coverage and integrated analytics, enabling customers to consolidate toolchains and reduce mean time to remediation. Other firms compete on deep domain expertise and verticalized capabilities that meet industry-specific compliance and performance requirements, offering tailored workflows and professional services that accelerate adoption.
Partnerships and channel strategies also play a central role as vendors seek to extend reach through cloud marketplaces, referral networks, and systems integrator alliances. Service-led offerings such as outcome-based managed services and co-managed observability reduce buyer friction and support organizations with constrained in-house operational capacity. Additionally, the rise of open standards for telemetry and stronger ecosystem interoperability encourages customers to favor vendors that support hybrid environments and phased migration paths, facilitating incremental modernization without disruptive rip-and-replace approaches.
Action-oriented recommendations for executives to accelerate observability adoption, strengthen governance, and optimize commercial and operational outcomes
Leaders must act decisively to convert monitoring capability into competitive advantage by aligning technology choices with operational governance and business objectives. Prioritize architectures that support telemetry-first observability, ensuring that trace, metric, and log collection is consistent across environments and instrumented into CI/CD pipelines. This approach reduces blind spots and expedites incident diagnosis, while enabling automated testing of monitoring rules as part of delivery workflows.
Invest in analytics and automation that reduce alert fatigue and deliver contextual prioritization; combining anomaly detection with runbook automation can materially shorten resolution cycles. Simultaneously, embed security monitoring within infrastructure observability to create unified incident triage processes and enrich alerts with threat context. For procurement and finance, favor flexible commercial terms and multiyear service agreements that include defined SLAs and capacity planning support to mitigate supply chain or tariff volatility. Finally, cultivate cross-functional governance that ties monitoring metrics to service-level objectives, ensuring sustained executive sponsorship and continuous improvement through post-incident reviews and metric-driven incentives.
Robust mixed-methods research design integrating executive interviews, technical validation, and capability mapping to inform monitoring strategy decisions
The research approach blended qualitative and quantitative methods to construct a holistic view of monitoring practices, vendor strategies, and operational priorities. Primary inputs included structured interviews with senior infrastructure, security, and operations leaders, complemented by technical validation sessions with platform architects and SRE teams to capture implementation patterns and pain points. Secondary inputs encompassed vendor documentation, product release notes, and independent technical analyses to verify feature trajectories and interoperability commitments.
Data synthesis emphasized triangulation across sources to ensure robustness: interview findings were cross-referenced with product capabilities and real-world implementation case studies to highlight practical trade-offs. The methodology incorporated scenario-based assessment to evaluate solution suitability across deployment modes and organizational sizes, and it applied rigorous criteria for capability mapping such as telemetry coverage, analytics sophistication, integration flexibility, and service delivery models. This mixed-methods design balances depth of insight with applicability for decision-makers planning modernization and vendor selection initiatives.
Concluding synthesis emphasizing that observability modernization, governance, and analytics integration are essential for resilient, secure, and high-performing digital services
Enterprise monitoring is at an inflection point where observability practices, analytics maturity, and cross-functional governance determine operational resilience and digital experience quality. Organizations that prioritize telemetry-first architectures, embed monitoring into development lifecycles, and adopt predictive analytics will reduce operational friction and improve service reliability. Conversely, teams that treat monitoring as an afterthought risk extended incident durations and fragmented visibility across hybrid estates.
Leaders should therefore treat monitoring modernization as a strategic program rather than a point solution: align investments to business outcomes, establish clear service-level objectives, and ensure vendor and procurement practices support agility and resilience. By doing so, organizations will be better positioned to navigate supply chain disruptions, regulatory complexity, and rapid architectural change while delivering consistent performance and secure experiences for users and customers.
Note: PDF & Excel + Online Access - 1 Year
Table of Contents
186 Pages
- 1. Preface
- 1.1. Objectives of the Study
- 1.2. Market Segmentation & Coverage
- 1.3. Years Considered for the Study
- 1.4. Currency
- 1.5. Language
- 1.6. Stakeholders
- 2. Research Methodology
- 3. Executive Summary
- 4. Market Overview
- 5. Market Insights
- 5.1. Implementing AI-driven anomaly detection to proactively identify infrastructure issues before they impact availability
- 5.2. Adopting unified observability platforms to correlate logs metrics and traces across hybrid multi-cloud environments
- 5.3. Integrating security and compliance monitoring to maintain continuous visibility into infrastructure vulnerabilities
- 5.4. Leveraging edge computing monitoring solutions to manage distributed IoT and remote industrial network performance
- 5.5. Deploying AIOps for automated root cause analysis and incident remediation in complex IT environments
- 5.6. Implementing service level objectives based site reliability engineering to drive monitoring and operational excellence
- 5.7. Utilizing network telemetry streaming analytics to gain real time insights into application and network performance
- 6. Cumulative Impact of United States Tariffs 2025
- 7. Cumulative Impact of Artificial Intelligence 2025
- 8. IT Infrastructure Monitoring Market, by Component
- 8.1. Services
- 8.1.1. Managed Services
- 8.1.2. Professional Services
- 8.2. Solutions
- 8.2.1. Application Performance Monitoring
- 8.2.2. Network Performance Monitoring
- 8.2.3. Security Monitoring
- 8.2.4. Server Monitoring
- 8.2.5. Storage Monitoring
- 9. IT Infrastructure Monitoring Market, by Monitoring Type
- 9.1. Historical Monitoring
- 9.1.1. Reporting
- 9.1.2. Trend Analysis
- 9.2. Predictive Analytics
- 9.2.1. Anomaly Detection
- 9.2.2. Capacity Planning
- 9.3. Real Time Monitoring
- 9.3.1. Alerting
- 9.3.2. Dashboarding
- 10. IT Infrastructure Monitoring Market, by Organization Size
- 10.1. Large Enterprise
- 10.2. Small And Medium Enterprise
- 11. IT Infrastructure Monitoring Market, by Deployment Mode
- 11.1. Cloud
- 11.1.1. Private Cloud
- 11.1.2. Public Cloud
- 11.2. Hybrid
- 11.3. On Premises
- 11.3.1. Local Software
- 11.3.2. Traditional Data Center
- 12. IT Infrastructure Monitoring Market, by Vertical
- 12.1. BFSI
- 12.2. Government
- 12.3. Healthcare
- 12.4. IT And Telecom
- 13. IT Infrastructure Monitoring Market, by Region
- 13.1. Americas
- 13.1.1. North America
- 13.1.2. Latin America
- 13.2. Europe, Middle East & Africa
- 13.2.1. Europe
- 13.2.2. Middle East
- 13.2.3. Africa
- 13.3. Asia-Pacific
- 14. IT Infrastructure Monitoring Market, by Group
- 14.1. ASEAN
- 14.2. GCC
- 14.3. European Union
- 14.4. BRICS
- 14.5. G7
- 14.6. NATO
- 15. IT Infrastructure Monitoring Market, by Country
- 15.1. United States
- 15.2. Canada
- 15.3. Mexico
- 15.4. Brazil
- 15.5. United Kingdom
- 15.6. Germany
- 15.7. France
- 15.8. Russia
- 15.9. Italy
- 15.10. Spain
- 15.11. China
- 15.12. India
- 15.13. Japan
- 15.14. Australia
- 15.15. South Korea
- 16. Competitive Landscape
- 16.1. Market Share Analysis, 2024
- 16.2. FPNV Positioning Matrix, 2024
- 16.3. Competitive Analysis
- 16.3.1. Acellent Technologies, Inc.
- 16.3.2. AVT Reliability Ltd.
- 16.3.3. Bridge Diagnostics, Inc.
- 16.3.4. Campbell Scientific, Inc.
- 16.3.5. Cisco Systems Inc.
- 16.3.6. Cowi A/S
- 16.3.7. Datadog, Inc.
- 16.3.8. Digitex Systems
- 16.3.9. ESDS Software Solution Ltd.
- 16.3.10. Feac Engineering P.C.
- 16.3.11. General Electric Company
- 16.3.12. Geokon Pte. Ltd.
- 16.3.13. Google LLC by Alphabet Inc.
- 16.3.14. Grafana Labs
- 16.3.15. International Business Machines Corporation
- 16.3.16. LogicMonitor Inc.
- 16.3.17. Microsoft Corporation
- 16.3.18. Nagios Enterprises LLC
- 16.3.19. Oracle Corporation
- 16.3.20. PagerDuty, Inc.
- 16.3.21. SAP SE
- 16.3.22. ScienceLogic, Inc.
- 16.3.23. Siemens AG
- 16.3.24. SolarWinds Worldwide, LLC
- 16.3.25. Spiceworks Inc.
- 16.3.26. Xylem Inc.
- 16.3.27. Zoho Corporation Pvt. Ltd.
Pricing
Currency Rates
Questions or Comments?
Our team has the ability to search within reports to verify it suits your needs. We can also help maximize your budget by finding sections of reports you can purchase.
