IT Operations Analytics Market

IT Operations Analytics Market



Growth Factors of IT Operations Analytics Market

The global IT operations analytics market size was valued at USD 9.21 billion in 2023 and is projected to grow from USD 10.68 billion in 2024 to USD 40.46 billion by 2032, exhibiting a CAGR of 18.1% during the forecast period of 2024-2032.

The pandemic boosted the IT Operations Analytics (ITOA) market as faraway work extended reliance on digital infrastructure. This caused extra calls for ITOA solutions to control and secure complex IT environments, ensuring device reliability and business continuity, impeding IT operations analytics market growth.

The increasing complexity of IT environments drives the IT Operations Analytics marketplace, the need for real-time statistics evaluation, and the adoption of cloud computing. Organizations seek superior analytics gear to automate operations, decorate performance, and proactively manipulate IT infrastructure, leading to a widespread market boom.

AI empowers ITOA solutions with predictive analytics and root cause evaluation. By reading massive records, AI algorithms can assume capacity IT issues, allowing groups to proactively deal with them and reduce downtime. Additionally, AI's ability to delve deeper into troubles enables it to pinpoint their precise causes, leading to faster decisions, preventing destiny recurrences, and expanding IT operations analytics market share globally. This transformative power of AI is driving the increase of the ITOA market.

Comprehensive Analysis of IT Operations Analytics Market

The IT Operations Analytics Market is segmented by type, deployment mode, utility, and cease-consumer. Predictive analytics led the marketplace due to extensive statistics adoption and its capacity to prevent IT disruptions. Root motive analytics is predicted to develop rapidly, driven by calls for operational efficiency. On-premises deployment is dominated, providing management and versatility, even as cloud solutions are forecast to grow faster because of value efficiency. Asset performance controlled the application segment, fueled by the demand for digital monitoring answers, with security management projected to amplify rapidly. The BFSI area held the most crucial cease-consumer share, specializing in lowering dangers and improving client insights. At the same time, healthcare is expected to grow fastest due to the growing demand for cost-primarily based care.

The North America region led the IT operations analytics market by benefitting a size of USD 3.34 billion in 2023 due to the big upward push in IT records generation throughout numerous organizations and the growing adoption of cloud-primarily based solutions; this boom has been located.

The leading players in the IT Operations Analytics Market significantly shape its growth trajectory and set industry standards. Key players, including Open Text Corporation (Canada), BMC Software Inc. (U.S.), ExtraHop Networks (U.S.), Glassbeam Inc. (U.S.), Hewlett Packard Enterprise Development LP (U.S.), IBM Corporation (U.S.), Microsoft Corporation (U.S.), Oracle Corporation (U.S.), SAP SE (Germany), and Splunk Inc. (U.S.), contribute to a competitive landscape, driving innovation and market advancement.

In April 2024, OpenText, a facts-era organization, added Cloud Editions CE 24.2, proposing the OpenText IT Operations Aviator—a private-gen AI digital assistant now integrated into OpenText SMAX. This more excellent service control solution, previously available simplest to technology users, is now also helping provider table marketers.

Segmentation Table

ATTRIBUTE DETAILS

Study Period 2019-2032

Base Year 2023

Estimated Year 2024

Forecast Period 2024-2032

Historical Period 2019-2022

Growth Rate CAGR of 18.1% from 2024 to 2032

Unit Value (USD Billion)

Segmentation By Type
  • Predictive Analytics
  • Visual Analytics
  • Root Cause Analytics
  • Behavior Analytics
By Deployment Mode
  • On-Premises
  • Cloud
By Application
  • Asset Performance Management
  • Network Management
  • Security Management
  • Log Management
  • Others (Anomaly Detection)
By End-User
  • BFSI
  • Retail and Consumer Goods
  • Healthcare
  • Manufacturing
  • Telecommunications
  • Others (Transportation and Logistics, Government)
By Region
  • North America (By Type, Deployment Mode, Application, End-User, and Country)
- U.S.

- Canada

- Mexico
  • South America (By Type, Deployment Mode, Application, End-User, and Country)
- Brazil

- Argentina

- Rest of South America
  • Europe (By Type, Deployment Mode, Application, End-User, and Country)
- U.K.

- Germany

- France

- Italy

- Spain

- Russia

- Benelux

- Nordics

- Rest of Europe
  • Middle East & Africa (By Type, Deployment Mode, Application, End-User, and Country)
- Turkey

- Israel

- GCC

- North Africa

- South Africa

- Rest of the Middle East & Africa
  • Asia Pacific (By Type, Deployment Mode, Application, End-User, and Country)
- China

- Japan

- India

- South Korea

- ASEAN

- Oceania

- Rest of Asia Pacific


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1. Introduction
1.1. Definition, By Segment
1.2. Research Methodology/Approach
1.3. Data Sources
2. Executive Summary
3. Market Dynamics
3.1. Macro and Micro Economic Indicators
3.2. Drivers, Restraints, Opportunities and Trends
3.3. Impact of Generative AI
4. Competition Landscape
4.1. Business Strategies Adopted by Key Players
4.2. Consolidated SWOT Analysis of Key Players
4.3. Global IT Operations Analytics Key Players Market Share/Ranking, 2023
5. Global IT Operations Analytics Market Size Estimates and Forecasts, By Segments, 2019-2032
5.1. Key Findings
5.2. By Type (USD)
5.2.1. Predictive Analytics
5.2.2. Visual Analytics
5.2.3. Root Cause Analytics
5.2.4. Behavior Analytics
5.3. By Deployment Mode (USD)
5.3.1. On-Premises
5.3.2. Cloud
5.4. By Application (USD)
5.4.1. Asset Performance Management
5.4.2. Network Management
5.4.3. Security Management
5.4.4. Log Management
5.4.5. Others (Anomaly Detection, etc.)
5.5. By End-Users (USD)
5.5.1. BFSI
5.5.2. Retail and Consumer Goods
5.5.3. Healthcare
5.5.4. Manufacturing
5.5.5. Telecommunications
5.5.6. Others (Transportation and Logistics, Government, etc.)
5.6. By Region (USD)
5.6.1. North America
5.6.2. South America
5.6.3. Europe
5.6.4. Middle East & Africa
5.6.5. Asia Pacific
6. North America IT Operations Analytics Market Size Estimates and Forecasts, By Segments, 2019-2032
6.1. Key Findings
6.2. By Type (USD)
6.2.1. Predictive Analytics
6.2.2. Visual Analytics
6.2.3. Root Cause Analytics
6.2.4. Behavior Analytics
6.3. By Deployment Mode (USD)
6.3.1. On-Premises
6.3.2. Cloud
6.4. By Application (USD)
6.4.1. Asset Performance Management
6.4.2. Network Management
6.4.3. Security Management
6.4.4. Log Management
6.4.5. Others (Anomaly Detection, etc.)
6.5. By End-Users (USD)
6.5.1. BFSI
6.5.2. Retail and Consumer Goods
6.5.3. Healthcare
6.5.4. Manufacturing
6.5.5. Telecommunications
6.5.6. Others (Transportation and Logistics, Government, etc.)
6.6. By Country (USD)
6.6.1. U.S.
6.6.2. Canada
6.6.3. Mexico
7. South America IT Operations Analytics Market Size Estimates and Forecasts, By Segments, 2019-2032
7.1. Key Findings
7.2. By Type (USD)
7.2.1. Predictive Analytics
7.2.2. Visual Analytics
7.2.3. Root Cause Analytics
7.2.4. Behavior Analytics
7.3. By Deployment Mode (USD)
7.3.1. On-Premises
7.3.2. Cloud
7.4. By Application (USD)
7.4.1. Asset Performance Management
7.4.2. Network Management
7.4.3. Security Management
7.4.4. Log Management
7.4.5. Others (Anomaly Detection, etc.)
7.5. By End-Users (USD)
7.5.1. BFSI
7.5.2. Retail and Consumer Goods
7.5.3. Healthcare
7.5.4. Manufacturing
7.5.5. Telecommunications
7.5.6. Others (Transportation and Logistics, Government, etc.)
7.6. By Country (USD)
7.6.1. Brazil
7.6.2. Argentina
7.6.3. Rest of South America
8. Europe IT Operations Analytics Market Size Estimates and Forecasts, By Segments, 2019-2032
8.1. Key Findings
8.2. By Type (USD)
8.2.1. Predictive Analytics
8.2.2. Visual Analytics
8.2.3. Root Cause Analytics
8.2.4. Behavior Analytics
8.3. By Deployment Mode (USD)
8.3.1. On-Premises
8.3.2. Cloud
8.4. By Application (USD)
8.4.1. Asset Performance Management
8.4.2. Network Management
8.4.3. Security Management
8.4.4. Log Management
8.4.5. Others (Anomaly Detection, etc.)
8.5. By End-Users (USD)
8.5.1. BFSI
8.5.2. Retail and Consumer Goods
8.5.3. Healthcare
8.5.4. Manufacturing
8.5.5. Telecommunications
8.5.6. Others (Transportation and Logistics, Government, etc.)
8.6. By Country (USD)
8.6.1. U.K.
8.6.2. Germany
8.6.3. France
8.6.4. Italy
8.6.5. Spain
8.6.6. Russia
8.6.7. Benelux
8.6.8. Nordics
8.6.9. Rest of Europe
9. Middle East & Africa IT Operations Analytics Market Size Estimates and Forecasts, By Segments, 2019-2032
9.1. Key Findings
9.2. By Type (USD)
9.2.1. Predictive Analytics
9.2.2. Visual Analytics
9.2.3. Root Cause Analytics
9.2.4. Behavior Analytics
9.3. By Deployment Mode (USD)
9.3.1. On-Premises
9.3.2. Cloud
9.4. By Application (USD)
9.4.1. Asset Performance Management
9.4.2. Network Management
9.4.3. Security Management
9.4.4. Log Management
9.4.5. Others (Anomaly Detection, etc.)
9.5. By End-Users (USD)
9.5.1. BFSI
9.5.2. Retail and Consumer Goods
9.5.3. Healthcare
9.5.4. Manufacturing
9.5.5. Telecommunications
9.5.6. Others (Transportation and Logistics, Government, etc.)
9.6. By Country (USD)
9.6.1. Turkey
9.6.2. Israel
9.6.3. GCC
9.6.4. North Africa
9.6.5. South Africa
9.6.6. Rest of Middle East & Africa
10. Asia Pacific IT Operations Analytics Market Size Estimates and Forecasts, By Segments, 2019-2032
10.1. Key Findings
10.2. By Type (USD)
10.2.1. Predictive Analytics
10.2.2. Visual Analytics
10.2.3. Root Cause Analytics
10.2.4. Behavior Analytics
10.3. By Deployment Mode (USD)
10.3.1. On-Premises
10.3.2. Cloud
10.4. By Application (USD)
10.4.1. Asset Performance Management
10.4.2. Network Management
10.4.3. Security Management
10.4.4. Log Management
10.4.5. Others (Anomaly Detection, etc.)
10.5. By End-Users (USD)
10.5.1. BFSI
10.5.2. Retail and Consumer Goods
10.5.3. Healthcare
10.5.4. Manufacturing
10.5.5. Telecommunications
10.5.6. Others (Transportation and Logistics, Government, etc.)
10.6. By Country (USD)
10.6.1. China
10.6.2. Japan
10.6.3. India
10.6.4. South Korea
10.6.5. ASEAN
10.6.6. Oceania
10.6.7. Rest of Asia Pacific
11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)
11.1. Open Text Corporation
11.1.1. Overview
11.1.1.1. Key Management
11.1.1.2. Headquarters
11.1.1.3. Offerings/Business Segments
11.1.2. Key Details (Key details are consolidated data and not product/service specific)
11.1.2.1. Employee Size
11.1.2.2. Past and Current Revenue
11.1.2.3. Geographical Share
11.1.2.4. Business Segment Share
11.1.2.5. Recent Developments
11.2. BMC Software Inc.
11.2.1. Overview
11.2.1.1. Key Management
11.2.1.2. Headquarters
11.2.1.3. Offerings/Business Segments
11.2.2. Key Details (Key details are consolidated data and not product/service specific)
11.2.2.1. Employee Size
11.2.2.2. Past and Current Revenue
11.2.2.3. Geographical Share
11.2.2.4. Business Segment Share
11.2.2.5. Recent Developments
11.3. ExtraHop Networks
11.3.1. Overview
11.3.1.1. Key Management
11.3.1.2. Headquarters
11.3.1.3. Offerings/Business Segments
11.3.2. Key Details (Key details are consolidated data and not product/service specific)
11.3.2.1. Employee Size
11.3.2.2. Past and Current Revenue
11.3.2.3. Geographical Share
11.3.2.4. Business Segment Share
11.3.2.5. Recent Developments
11.4. Glassbeam Inc.
11.4.1. Overview
11.4.1.1. Key Management
11.4.1.2. Headquarters
11.4.1.3. Offerings/Business Segments
11.4.2. Key Details (Key details are consolidated data and not product/service specific)
11.4.2.1. Employee Size
11.4.2.2. Past and Current Revenue
11.4.2.3. Geographical Share
11.4.2.4. Business Segment Share
11.4.2.5. Recent Developments
11.5. Hewlett Packard Enterprise Development LP
11.5.1. Overview
11.5.1.1. Key Management
11.5.1.2. Headquarters
11.5.1.3. Offerings/Business Segments
11.5.2. Key Details (Key details are consolidated data and not product/service specific)
11.5.2.1. Employee Size
11.5.2.2. Past and Current Revenue
11.5.2.3. Geographical Share
11.5.2.4. Business Segment Share
11.5.2.5. Recent Developments
11.6. IBM Corporation
11.6.1. Overview
11.6.1.1. Key Management
11.6.1.2. Headquarters
11.6.1.3. Offerings/Business Segments
11.6.2. Key Details (Key details are consolidated data and not product/service specific)
11.6.2.1. Employee Size
11.6.2.2. Past and Current Revenue
11.6.2.3. Geographical Share
11.6.2.4. Business Segment Share
11.6.2.5. Recent Developments
11.7. Microsoft Corporation
11.7.1. Overview
11.7.1.1. Key Management
11.7.1.2. Headquarters
11.7.1.3. Offerings/Business Segments
11.7.2. Key Details (Key details are consolidated data and not product/service specific)
11.7.2.1. Employee Size
11.7.2.2. Past and Current Revenue
11.7.2.3. Geographical Share
11.7.2.4. Business Segment Share
11.7.2.5. Recent Developments
11.8. Oracle Corporation
11.8.1. Overview
11.8.1.1. Key Management
11.8.1.2. Headquarters
11.8.1.3. Offerings/Business Segments
11.8.2. Key Details (Key details are consolidated data and not product/service specific)
11.8.2.1. Employee Size
11.8.2.2. Past and Current Revenue
11.8.2.3. Geographical Share
11.8.2.4. Business Segment Share
11.8.2.5. Recent Developments
11.9. SAP SE
11.9.1. Overview
11.9.1.1. Key Management
11.9.1.2. Headquarters
11.9.1.3. Offerings/Business Segments
11.9.2. Key Details (Key details are consolidated data and not product/service specific)
11.9.2.1. Employee Size
11.9.2.2. Past and Current Revenue
11.9.2.3. Geographical Share
11.9.2.4. Business Segment Share
11.9.2.5. Recent Developments
11.10. Splunk Inc.
11.10.1. Overview
11.10.1.1. Key Management
11.10.1.2. Headquarters
11.10.1.3. Offerings/Business Segments
11.10.2. Key Details (Key details are consolidated data and not product/service specific)
11.10.2.1. Employee Size
11.10.2.2. Past and Current Revenue
11.10.2.3. Geographical Share
11.10.2.4. Business Segment Share
11.10.2.5. Recent Developments

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