Summary

US IT Operations Analytics Market is valued approximately USD 4.86 billion in 2023 and is anticipated to grow with a healthy growth rate of more than 38.63% over the forecast period 2024-2032. IT Operations Analytics refers to the practice of collecting, analyzing, and interpreting large volumes of data generated by IT infrastructure and operations to gain insights and make informed decisions. It involves the use of advanced analytics techniques, including machine learning, statistical analysis, and data visualization, to understand the performance, availability, and security of IT systems and services. Furthermore, rising shift towards hybrid and multi-cloud environments are gaining attention towards US IT Operations Analytics Market. Hybrid and multi-cloud environments combine on-premises infrastructure with public and private cloud services from multiple providers. Managing and monitoring these heterogeneous environments can be challenging due to their complexity and diversity. ITOA solutions provide organizations with unified visibility and monitoring capabilities across hybrid and multi-cloud environments, enabling them to gain insights into the performance, availability, and security of their IT infrastructure regardless of location or platform.

The US IT Operations Analytics Market is driven by increasing presence of major market players such as Microsoft Corporation, Oracle Corporation, and government initiatives towards digital transformation across the region. Their presence fosters a culture of innovation and drives continuous improvement in ITOA solutions. These companies invest heavily in research and development to develop advanced analytics capabilities, such as AI and machine learning, predictive analytics, and automation. In addition, Government agencies are increasingly leveraging data-driven decision-making processes to improve service delivery, enhance operational efficiency, and drive innovation. However, high deployment cost of IT operations analytics and lack of technical expertise is going to impede the overall demand for the market during the forecast period 2024-2032.


Major market player included in this report are:
Apptio, Inc
BMC Software Inc
ExtraHop Networks Inc
Glassbeam Inc.
Hewlett Packard Enterprise Development LP
International Business Machines Corporation
Microsoft Corporation
Oracle Corporation
Splunk Inc
Company 10

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

by Type
Predictive Analytics
Visual Analytics
Root Cause Analytics
Behavior Analytics

by Application
Asset Performance Management
Network Management
Security Management
Log Management

by Deployment
On-premise
Cloud

by End-use
BFSI
Healthcare
Retail
Manufacturing
Government
IT & Telecom
Others


Years considered for the study are as follows:
Historical year – 2022
Base year – 2023
Forecast period – 2024 to 2032

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

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Table of Contents

Chapter 1. US IT Operations Analytics Market Definition and Research Assumptions
1.1. Research Objective
1.2. Market Definition
1.3. Research Assumptions
1.3.1. Inclusion & Exclusion
1.3.2. Limitations
1.3.3. Supply Side Analysis
1.3.3.1. Availability
1.3.3.2. Infrastructure
1.3.3.3. Regulatory Environment
1.3.3.4. Market Competition
1.3.3.5. Economic Viability (Consumer’s Perspective)
1.3.4. Demand Side Analysis
1.3.4.1. Regulatory frameworks
1.3.4.2. Technological Advancements
1.3.4.3. Environmental Considerations
1.3.4.4. Consumer Awareness & Acceptance
1.4. Estimation Methodology
1.5. Years Considered for the Study
1.6. Currency Conversion Rates

Chapter 2. Executive Summary
2.1. US IT Operations Analytics Market Size & Forecast (2022- 2032)
2.2. Segmental Summary
2.2.1. By Type
2.2.2. By Application
2.2.3. By Deployment
2.2.4. By End-use
2.3. Key Trends
2.4. Recession Impact
2.5. Analyst Recommendation & Conclusion
Chapter 3. US IT Operations Analytics Market Dynamics
3.1. Market Drivers
3.2. Market Challenges
3.3. Market Opportunities
Chapter 4. US IT Operations Analytics Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter’s 5 Force Model
4.1.7. Porter’s 5 Force Impact Analysis
4.2. PESTEL Analysis
4.2.1. Political
4.2.2. Economical
4.2.3. Social
4.2.4. Technological
4.2.5. Environmental
4.2.6. Legal
4.3. Top investment opportunity
4.4. Top winning strategies
4.5. Disruptive Trends
4.6. Industry Expert Perspective
4.7. Analyst Recommendation & Conclusion
Chapter 5. US IT Operations Analytics Market Size & Forecasts by Type 2022-2032
5.1. Predictive Analytics
5.2. Visual Analytics
5.3. Root Cause Analytics
5.4. Behavior Analytics
Chapter 6. US IT Operations Analytics Market Size & Forecasts by Application 2022-2032
6.1. Asset Performance Management
6.2. Network Management
6.3. Security Management
6.4. Log Management
Chapter 7. US IT Operations Analytics Market Size & Forecasts by Deployment 2022-2032
7.1. On-premise
7.2. Cloud
Chapter 8. US IT Operations Analytics Market Size & Forecasts by End-use 2022-2032
8.1. BFSI
8.2. Healthcare
8.3. Retail
8.4. Manufacturing
8.5. Government
8.6. IT & Telecom
8.7. Others
Chapter 9. Competitive Intelligence
9.1. Key Company SWOT Analysis
9.1.1. Company 1
9.1.2. Company 2
9.1.3. Company 3
9.2. Top Market Strategies
9.3. Company Profiles
9.3.1. Apptio, Inc
9.3.1.1. Key Information
9.3.1.2. Overview
9.3.1.3. Financial (Subject to Data Availability)
9.3.1.4. Product Summary
9.3.1.5. Market Strategies
9.3.2. BMC Software Inc
9.3.3. ExtraHop Networks Inc
9.3.4. Glassbeam Inc.
9.3.5. Hewlett Packard Enterprise Development LP
9.3.6. International Business Machines Corporation
9.3.7. Microsoft Corporation
9.3.8. Oracle Corporation
9.3.9. Splunk Inc
9.3.10. Company 10
Chapter 10. Research Process
10.1. Research Process
10.1.1. Data Mining
10.1.2. Analysis
10.1.3. Market Estimation
10.1.4. Validation
10.1.5. Publishing
10.2. Research Attributes