Global Algorithmic IT Operations (AIOps) Market Size, Status and Forecast 2021-2027

AIOps Market Size

The global Algorithmic IT Operations (AIOps) market size is projected to reach USD 23.9 Billion by 2027, from USD 4.0 Billion in 2020, at a CAGR of 30% during 2021-2027. AIOps is the application of artificial intelligence to IT operations. AIOps helps to quickly extract actionable insights from operational data to help automate tasks and processes that have traditionally required human intervention. Key drivers of the aiops market include increased adoption of cloud based IT solutions and increasing modes of online payments.

Other factors contributing to the growth of the aiops market are increasing demand of AI based services in IT operations, rising shift of organization core business towards the cloud and growing investments in aiops technology. Further the potential to provide enhanced security by bridging the gap between IT and security options thereby increasing the system uptime and reliability will increase the deployment of aiops technology  significantly boosting the growth of the aiops market during the forecast period.

Trends Influencing the GLobal AIOps Market

Potential for providing enhanced security will create opportunities for the growth of the market

AIOPs have the potential to provide enhanced security boosting system uptime and reliability. For instance aiops will show greater visibility into security data detecting any suspicious or unidentified activity in application performance issue thereby blocking the malicious software or completely shutting down the server to prevent it from getting exploited by hackers. Thus aiops technology can be leveraged by businesses as first line of defense for servers and storage systems creating an entire system of processes for mounting an attack against hackers.  Thus the benefits offered in security options provide lucrative opportunities for the growth of the aiops market during the forecast period.

AIOPs have the potential to provide enhanced security boosting system uptime and reliability. For instance aiops will show greater visibility into security data detecting any suspicious or unidentified activity in application performance issue thereby blocking the malicious software or completely shutting down the server to prevent it from getting exploited by hackers. Thus aiops technology can be leveraged by businesses as first line of defense for servers and storage systems creating an entire system of processes for mounting an attack against hackers.  Thus the benefits offered in security options provide lucrative opportunities for the growth of the aiops market during the forecast period.

Increasing usage in cloud infrastructure monitoring will drive the growth of the AIOps Industry

The constant monitoring of cloud infrastructure has ushered in a new era of aiops technology. Due to the increasing focus on cloud operations aiops technology has been evolving because it has the capacity to operate and analyze data coming from all systems and devices to determine when something is failing and that too without any human interference. Aiops can be deployed to detect anomalous behaviors of data and launch corrective processes and if configured properly can help automate a large number of complex processes and actions. They have multiple layers of automation which are designed to react to events and launch remedial actions immediately.  Thus growing automation across industry verticals and increasing focus on cloud infrastructure will drive the growth of the aiops market during the forecast period. 

Widescale adoption across financial institutions for streamlining complex IT workflows will accelerate the growth of the market 

Banks and other financial institutions have to deal with a number of periodic and aperiodic activities and transactions by customer, external stakeholders and employees which require constant monitoring for prevention of data breaches. These activities are very complex and for streamlining their day to day IT operations, providing optimal service to customers and solving configuration issues banks are increasing the deployment of aiops technology into their IT network solutions. Thus growing adoption of aiops by banks and financial is expected to propel the growth of the aiops market during the forecast period. Further rising implementation of regulatory standards along with increasing modes of online payments  will significantly expand the aiops market size in the coming years.

Covid 19 induced work from home policies will fuel the growth of the AIops Market 

Covid 19 has stimulated the growth of the aiops market due to increasing shifts to work from home policies across many industry verticals. Further increase in connectivity options including  growing usage of smartphones, rising deployment of service and product portfolios and remote connectivity options is expected to continue to increase the growth of the aiops market during the forecast period.  Moreover presence of big market players such as IBM, Splunk and BigPanda will aid in the growth of the market in the coming years. 

AIOps Market Share Analysis

Based on region, North America is expected to hold the largest aiops market share during the forecast period due to rapid technological advancements in the region, increasing R&D initiatives , convergence of technologies such as AI, ML, big data and analytics and continued innovations by the tech giants such as Google, Amazon,IBM etc. 

Based on application, SMEs segment is expected to provide lucrative opportunities in the aiops market share during the forecast period as artificial intelligence is a costly endeavor requiring a team of highly skilled AI professionals. These professionals charge huge sums of money hence small and medium scale enterprises are preferring wider adoption of aiops technology than large scale enterprises. 

AIOps Market Segmentation

By Type

• Cloud
• On-Premises

By Application

• SMEs
• Large Enterprises

By Region

North America

• United States
• Canada

Europe

• Germany
• France
• UK.
• Italy
• Russia
• Nordic
• Rest of Europe

Asia-Pacific

• China
• Japan
• South Korea
• Southeast Asia
• India
• Australia
• Rest of Asia-Pacific

Latin America

• Mexico
• Brazil

Middle East & Africa

• Turkey
• Saudi Arabia
• UAE
• Rest of Middle East & Africa

Key Companies

• AppDynamics (Cisco)
• Dynatrace
• Splunk
• IBM
• BigPanda
• Zenoss
• Moogsoft
• PagerDuty
• Datadog
• Micro Focus
• Netreo
• ScienceLogic
• ServiceNow
• Broadcom
• New Relic
• StackState
• LogicMonitor
• Instana

Scope of AIOps Market

Frequently Asked Questions About This Report

1 Report Overview

    1.1 Study Scope

    1.2 Market Analysis by Type

        1.2.1 Global Algorithmic IT Operations (AIOps) Market Size Growth Rate by Type (2021-2027)

        1.2.2 Cloud

        1.2.3 On-Premises

    1.3 Market by Application

        1.3.1 Global Algorithmic IT Operations (AIOps) Market Share by Application (2021-2027)

        1.3.2 SMEs

        1.3.3 Large Enterprises

    1.4 Study Objectives

    1.5 Years Considered

2 Executive Summary

    2.1 Global Algorithmic IT Operations (AIOps) Market Size

     2.2 Algorithmic IT Operations (AIOps) Market Size by Regions

        2.2.1 Algorithmic IT Operations (AIOps) Growth Rate by Regions (2021-2027)

        2.2.2 Algorithmic IT Operations (AIOps) Market Share by Regions (2021-2027)

    2.3 Industry Trends

        2.3.1 Market Top Trends

        2.3.2 Market Use Cases

3 Key Players

    3.1 Algorithmic IT Operations (AIOps) Revenue by Players (2020-2021)

    3.2 Algorithmic IT Operations (AIOps) Key Players Headquaters and Area Served

    3.3 Key Players Algorithmic IT Operations (AIOps) Product/Solution/Service

    3.4 Date of Enter into Algorithmic IT Operations (AIOps) Market

    3.5 Mergers & Acquisitions, Expansion Plans

4 Breakdown by Type and by Application

    4.1 Global Algorithmic IT Operations (AIOps) Market Size by Type (2021-2027)

    4.2 Global Algorithmic IT Operations (AIOps) Market Size by Application (2021-2027)

5 North America

   5.1 North America Algorithmic IT Operations (AIOps) Market Forecast (2021-2027)

    5.2 Algorithmic IT Operations (AIOps) Key Players in North America

    5.3 North America Algorithmic IT Operations (AIOps) Market Size by Type

    5.4 North America Algorithmic IT Operations (AIOps) Market Size by Application

        6.4.4 Canada

6 Europe

    6.1 Europe Algorithmic IT Operations (AIOps) Market Forecast (2021-2027)

    6.2 Algorithmic IT Operations (AIOps) Key Players in Europe

    6.3 Europe Algorithmic IT Operations (AIOps) Market Size by Type

    6.4 Europe Algorithmic IT Operations (AIOps) Market Size by Application

7 Japan

    7.1 Japan Algorithmic IT Operations (AIOps) Market Forecast (2021-2027)

    7.2 Algorithmic IT Operations (AIOps) Key Players in Europe

    7.3 Japan Algorithmic IT Operations (AIOps) Market Size by Type

    7.4 Japan Algorithmic IT Operations (AIOps) Market Size by Application

8 Rest of World

    8.1 China

        8.1.1 China Algorithmic IT Operations (AIOps) Market Analysis

        8.1.2 Key Players in China

    8.2 Southeast Asia

        8.2.1 Southeast Asia Algorithmic IT Operations (AIOps) Market Analysis

        8.2.2 Key Players in Southeast Asia

    8.3 India

        8.3.1 India Algorithmic IT Operations (AIOps) Market Analysis

        8.3.2 Key Players in India

9 International Player Profiles

    9.1 AppDynamics (Cisco)

        9.1.1 AppDynamics (Cisco) Company Details

        9.1.2 AppDynamics (Cisco) Description and Business Overview

        9.1.3 AppDynamics (Cisco) Algorithmic IT Operations (AIOps) Introduction

        9.1.4 AppDynamics (Cisco) Revenue in Algorithmic IT Operations (AIOps) Business (2020-2021)

        9.1.5 AppDynamics (Cisco) Recent Development

    9.2 Dynatrace

        9.2.1 Dynatrace Company Details

        9.2.2 Dynatrace Description and Business Overview

        9.2.3 Dynatrace Algorithmic IT Operations (AIOps) Introduction

        9.2.4 Dynatrace Revenue in Algorithmic IT Operations (AIOps) Business (2020-2021)

        9.2.5 Dynatrace Recent Development

    9.3 Splunk

        9.3.1 Splunk Company Details

        9.3.2 Splunk Description and Business Overview

        9.3.3 Splunk Algorithmic IT Operations (AIOps) Introduction

        9.3.4 Splunk Revenue in Algorithmic IT Operations (AIOps) Business (2020-2021)

        9.3.5 Splunk Recent Development

    9.4 IBM

        9.4.1 IBM Company Details

        9.4.2 IBM Description and Business Overview

        9.4.3 IBM Algorithmic IT Operations (AIOps) Introduction

        9.4.4 IBM Revenue in Algorithmic IT Operations (AIOps) Business (2020-2021)

        9.4.5 IBM Recent Development

    9.5 BigPanda

        9.5.1 BigPanda Company Details

        9.5.2 BigPanda Description and Business Overview

        9.5.3 BigPanda Algorithmic IT Operations (AIOps) Introduction

        9.5.4 BigPanda Revenue in Algorithmic IT Operations (AIOps) Business (2020-2021)

        9.5.5 BigPanda Recent Development

    9.6 Zenoss

        9.6.1 Zenoss Company Details

        9.6.2 Zenoss Description and Business Overview

        9.6.3 Zenoss Algorithmic IT Operations (AIOps) Introduction

        9.6.4 Zenoss Revenue in Algorithmic IT Operations (AIOps) Business (2020-2021)

        9.6.5 Zenoss Recent Development

    9.7 Moogsoft

        9.7.1 Moogsoft Company Details

        9.7.2 Moogsoft Description and Business Overview

        9.7.3 Moogsoft Algorithmic IT Operations (AIOps) Introduction

        9.7.4 Moogsoft Revenue in Algorithmic IT Operations (AIOps) Business (2020-2021)

        9.7.5 Moogsoft Recent Development

    9.8 PagerDuty

        9.8.1 PagerDuty Company Details

        9.8.2 PagerDuty Description and Business Overview

        9.8.3 PagerDuty Algorithmic IT Operations (AIOps) Introduction

        9.8.4 PagerDuty Revenue in Algorithmic IT Operations (AIOps) Business (2020-2021)

        9.8.5 PagerDuty Recent Development

    9.9 Datadog

        9.9.1 Datadog Company Details

        9.9.2 Datadog Description and Business Overview

        9.9.3 Datadog Algorithmic IT Operations (AIOps) Introduction

        9.9.4 Datadog Revenue in Algorithmic IT Operations (AIOps) Business (2020-2021)

        9.9.5 Datadog Recent Development

    9.10 Micro Focus

        9.10.1 Micro Focus Company Details

        9.10.2 Micro Focus Description and Business Overview

        9.10.3 Micro Focus Algorithmic IT Operations (AIOps) Introduction

        9.10.4 Micro Focus Revenue in Algorithmic IT Operations (AIOps) Business (2020-2021)

        9.10.5 Micro Focus Recent Development

    9.11 Netreo

        9.11.1 Netreo Company Details

        9.11.2 Netreo Description and Business Overview

        9.11.3 Netreo Algorithmic IT Operations (AIOps) Introduction

        9.11.4 Netreo Revenue in Algorithmic IT Operations (AIOps) Business (2020-2021)

        9.11.5 Netreo Recent Development

    9.12 ScienceLogic

        9.12.1 ScienceLogic Company Details

        9.12.2 ScienceLogic Description and Business Overview

        9.12.3 ScienceLogic Algorithmic IT Operations (AIOps) Introduction

        9.12.4 ScienceLogic Revenue in Algorithmic IT Operations (AIOps) Business (2020-2021)

        9.12.5 ScienceLogic Recent Development

    9.13 ServiceNow

        9.13.1 ServiceNow Company Details

        9.13.2 ServiceNow Description and Business Overview

        9.13.3 ServiceNow Algorithmic IT Operations (AIOps) Introduction

        9.13.4 ServiceNow Revenue in Algorithmic IT Operations (AIOps) Business (2020-2021)

        9.13.5 ServiceNow Recent Development

    9.14 Broadcom

        9.14.1 Broadcom Company Details

        9.14.2 Broadcom Description and Business Overview

        9.14.3 Broadcom Algorithmic IT Operations (AIOps) Introduction

        9.14.4 Broadcom Revenue in Algorithmic IT Operations (AIOps) Business (2020-2021)

        9.14.5 Broadcom Recent Development

    9.15 New Relic

        9.15.1 New Relic Company Details

        9.15.2 New Relic Description and Business Overview

        9.15.3 New Relic Algorithmic IT Operations (AIOps) Introduction

        9.15.4 New Relic Revenue in Algorithmic IT Operations (AIOps) Business (2020-2021)

        9.15.5 New Relic Recent Development

    9.16 StackState

        9.16.1  Company Details

        9.16.2 StackState Description and Business Overview

        9.16.3 StackState Algorithmic IT Operations (AIOps) Introduction

        9.16.4 StackState Revenue in Algorithmic IT Operations (AIOps) Business (2020-2021)

        9.16.5 StackState Recent Development

    9.17 LogicMonitor

        9.17.1 LogicMonitor Company Details

        9.17.2 LogicMonitor Description and Business Overview

        9.17.3 LogicMonitor Algorithmic IT Operations (AIOps) Introduction

        9.17.4 LogicMonitor Revenue in Algorithmic IT Operations (AIOps) Business (2020-2021)

        9.17.5 LogicMonitor Recent Development

    9.18 Instana

        9.18.1 Instana Company Details

        9.18.2 Instana Description and Business Overview

        9.18.3 Instana Algorithmic IT Operations (AIOps) Introduction

        9.18.4 Instana Revenue in Algorithmic IT Operations (AIOps) Business (2020-2021)

        9.18.5 Instana Recent Development

10 Market Dynamics

    10.1 Industry Trends

    10.2 Market Drives

    10.3 Market Challenges

    10.4 Market Restraints

11 Key Findings in This Report

12 Appendix

    12.1 Research Methodology

        12.1.1 Methodology/Research Approach

        12.1.2 Data Source

    12.2 Disclaimer

    12.3 Author Details

List of Tables

Table 1. Global Algorithmic IT Operations (AIOps) Market Size Growth Rate by Type (2021-2027) (US$ Million)

Table 2. Key Players of Cloud

Table 3. Key Players of On-Premises

Table 4. Global Algorithmic IT Operations (AIOps) Market Size Growth by Application (2021-2027) (US$ Million)

Table 5. Global Algorithmic IT Operations (AIOps) Market Size by Regions (2021-2027) (US$ Million)

Table 6. Global Algorithmic IT Operations (AIOps) Market Share by Regions (2021-2027)

Table 7. Market Top Trends

Table 8. Market Use Cases

Table 9. Global Algorithmic IT Operations (AIOps) Revenue by Players (2020-2021) (US$ Million)

Table 10. Global Algorithmic IT Operations (AIOps) Market Share by Players (2020-2021)

Table 11. Key Players Headquarters and Area Served

Table 12. Key Players Algorithmic IT Operations (AIOps) Product Solution and Service

Table 13. Date of Enter into Algorithmic IT Operations (AIOps) Market

Table 14. Mergers & Acquisitions, Expansion Plans

Table 15. Global Algorithmic IT Operations (AIOps) Market Size by Type (2021-2027) (US$ Million)

Table 16. Global Algorithmic IT Operations (AIOps) Market Size Share by Type (2021-2027)

Table 17. Global Algorithmic IT Operations (AIOps) Market Size by Application (2021-2027) (US$ Million)

Table 18. Global Algorithmic IT Operations (AIOps) Market Size Share by Application (2021-2027)

Table 19. North America Key Players Algorithmic IT Operations (AIOps) Revenue (2020-2021) (US$ Million)

Table 20. North America Key Players Algorithmic IT Operations (AIOps) Market Share (2020-2021)

Table 21. North America Algorithmic IT Operations (AIOps) Market Size by Type (2021-2027) (US$ Million)

Table 22. North America Algorithmic IT Operations (AIOps) Market Share by Type (2021-2027)

Table 23. North America Algorithmic IT Operations (AIOps) Market Size by Application (2021-2027) (US$ Million)

Table 24. North America Algorithmic IT Operations (AIOps) Market Share by Application (2021-2027)

Table 25. Europe Key Players Algorithmic IT Operations (AIOps) Revenue (2020-2021) (US$ Million)

Table 26. Europe Key Players Algorithmic IT Operations (AIOps) Market Share (2020-2021)

Table 27. Europe Algorithmic IT Operations (AIOps) Market Size by Type (2021-2027) (US$ Million)

Table 28. Europe Algorithmic IT Operations (AIOps) Market Share by Type (2021-2027)

Table 29. Europe Algorithmic IT Operations (AIOps) Market Size by Application (2021-2027) (US$ Million)

Table 30. Europe Algorithmic IT Operations (AIOps) Market Share by Application (2021-2027)

Table 31. Japan Key Players Algorithmic IT Operations (AIOps) Revenue (2020-2021) (US$ Million)

Table 32. Japan Key Players Algorithmic IT Operations (AIOps) Market Share (2020-2021)

Table 33. Japan Algorithmic IT Operations (AIOps) Market Size by Type (2021-2027) (US$ Million)

Table 34. Japan Algorithmic IT Operations (AIOps) Market Share by Type (2021-2027)

Table 35. Japan Algorithmic IT Operations (AIOps) Market Size by Application (2021-2027) (US$ Million)

Table 36. Japan Algorithmic IT Operations (AIOps) Market Share by Application (2021-2027)

Table 37. Key Players in China

Table 38. Key Players in Southeast Asia

Table 39. Key Players in India

Table 40. AppDynamics (Cisco) Company Details

Table 41. AppDynamics (Cisco) Description and Business Overview

Table 42. AppDynamics (Cisco) Algorithmic IT Operations (AIOps) Product

Table 43. AppDynamics (Cisco) Revenue in Algorithmic IT Operations (AIOps) Business 2020 and 2021

Table 44. AppDynamics (Cisco) Recent Development

Table 45. Dynatrace Company Details

Table 46. Dynatrace Description and Business Overview

Table 47. Dynatrace Algorithmic IT Operations (AIOps) Product

Table 48. Dynatrace Revenue in Algorithmic IT Operations (AIOps) Business 2020 and 2021

Table 49. Dynatrace Recent Development

Table 50. Splunk Company Details

Table 51. Splunk Description and Business Overview

Table 52. Splunk Algorithmic IT Operations (AIOps) Product

Table 53. Splunk Revenue in Algorithmic IT Operations (AIOps) Business 2020 and 2021

Table 54. Splunk Recent Development

Table 55. IBM Company Details

Table 56. IBM Description and Business Overview

Table 57. IBM Algorithmic IT Operations (AIOps) Product

Table 58. IBM Revenue in Algorithmic IT Operations (AIOps) Business 2020 and 2021

Table 59. IBM Recent Development

Table 60. BigPanda Company Details

Table 61. BigPanda Description and Business Overview

Table 62. BigPanda Algorithmic IT Operations (AIOps) Product

Table 63. BigPanda Revenue in Algorithmic IT Operations (AIOps) Business 2020 and 2021

Table 64. BigPanda Recent Development

Table 65. Zenoss Company Details

Table 66. Zenoss Description and Business Overview

Table 67. Zenoss Algorithmic IT Operations (AIOps) Product

Table 68. Zenoss Revenue in Algorithmic IT Operations (AIOps) Business 2020 and 2021

Table 69. Zenoss Recent Development

Table 70. Moogsoft Company Details

Table 71. Moogsoft Description and Business Overview

Table 72. Moogsoft Algorithmic IT Operations (AIOps) Product

Table 73. Moogsoft Revenue in Algorithmic IT Operations (AIOps) Business 2020 and 2021

Table 74. Moogsoft Recent Development

Table 75. PagerDuty Company Details

Table 76. PagerDuty Description and Business Overview

Table 77. PagerDuty Algorithmic IT Operations (AIOps) Product

Table 78. PagerDuty Revenue in Algorithmic IT Operations (AIOps) Business 2020 and 2021

Table 79. PagerDuty Recent Development

Table 80. Datadog Company Details

Table 81. Datadog Description and Business Overview

Table 82. Datadog Algorithmic IT Operations (AIOps) Product

Table 83. Datadog Revenue in Algorithmic IT Operations (AIOps) Business 2020 and 2021

Table 84. Datadog Recent Development

Table 85. Micro Focus Company Details

Table 86. Micro Focus Description and Business Overview

Table 87. Micro Focus Algorithmic IT Operations (AIOps) Product

Table 88. Micro Focus Revenue in Algorithmic IT Operations (AIOps) Business 2020 and 2021

Table 89. Micro Focus Recent Development

Table 90. Netreo Company Details

Table 91. Netreo Description and Business Overview

Table 92. Netreo Algorithmic IT Operations (AIOps) Product

Table 93. Netreo Revenue in Algorithmic IT Operations (AIOps) Business 2020 and 2021

Table 94. Netreo Recent Development

Table 95. ScienceLogic Company Details

Table 96. ScienceLogic Description and Business Overview

Table 97. ScienceLogic Algorithmic IT Operations (AIOps) Product

Table 98. ScienceLogic Revenue in Algorithmic IT Operations (AIOps) Business 2020 and 2021

Table 99. ScienceLogic Recent Development

Table 100. ServiceNow Company Details

Table 101. ServiceNow Description and Business Overview

Table 102. ServiceNow Algorithmic IT Operations (AIOps) Product

Table 103. ServiceNow Revenue in Algorithmic IT Operations (AIOps) Business 2020 and 2021

Table 104. ServiceNow Recent Development

Table 105. Broadcom Company Details

Table 106. Broadcom Description and Business Overview

Table 107. Broadcom Algorithmic IT Operations (AIOps) Product

Table 108. Broadcom Revenue in Algorithmic IT Operations (AIOps) Business 2020 and 2021

Table 109. Broadcom Recent Development

Table 110. New Relic Company Details

Table 111. New Relic Description and Business Overview

Table 112. New Relic Algorithmic IT Operations (AIOps) Product

Table 113. New Relic Revenue in Algorithmic IT Operations (AIOps) Business 2020 and 2021

Table 114. New Relic Recent Development

Table 115. StackState Company Details

Table 116. StackState Description and Business Overview

Table 117. StackState Algorithmic IT Operations (AIOps) Product

Table 118. StackState Revenue in Algorithmic IT Operations (AIOps) Business 2020 and 2021

Table 119. StackState Recent Development

Table 120. LogicMonitor Company Details

Table 121. LogicMonitor Description and Business Overview

Table 122. LogicMonitor Algorithmic IT Operations (AIOps) Product

Table 123. LogicMonitor Revenue in Algorithmic IT Operations (AIOps) Business 2020 and 2021

Table 124. LogicMonitor Recent Development

Table 125. Instana Company Details

Table 126. Instana Description and Business Overview

Table 127. Instana Algorithmic IT Operations (AIOps) Product

Table 128. Instana Revenue in Algorithmic IT Operations (AIOps) Business 2020 and 2021

Table 129. Instana Recent Development

Table 130. Algorithmic IT Operations (AIOps) Market Trends

Table 131. Algorithmic IT Operations (AIOps) Market Drivers

Table 132. Algorithmic IT Operations (AIOps) Market Challenges

Table 133. Algorithmic IT Operations (AIOps) Market Restraints

Table 134. Research Programs/Design for This Report

Table 135. Key Data Information from Secondary Sources

Table 136. Key Data Information from Primary Sources

List of Figures

Figure 1. Global Algorithmic IT Operations (AIOps) Market Share by Type in 2021 & 2027

Figure 2. Cloud Features

Figure 3. On-Premises Features

Figure 4. Global Algorithmic IT Operations (AIOps) Market Share by Application in 2021 & 2027

Figure 5. SMEs Case Studies

Figure 6. Large Enterprises Case Studies

Figure 7. Algorithmic IT Operations (AIOps) Report Years Considered

Figure 8. Global Algorithmic IT Operations (AIOps) Market Size and Growth Rate (2020-2027) (US$ Million)

Figure 9. Global Algorithmic IT Operations (AIOps) Market Share by Regions (2020-2027)

Figure 10. Global Algorithmic IT Operations (AIOps) Market Share by Players in 2021

Figure 11. Global Algorithmic IT Operations (AIOps) Market Size Market Share by Type (2021-2027)

Figure 12. Global Algorithmic IT Operations (AIOps) Market Size Market Share by Application (2021-2027)

Figure 13. Global Algorithmic IT Operations (AIOps) Revenue Market Share by Application in 2021

Figure 14. North America Algorithmic IT Operations (AIOps) Market Size 2021-2027 (US$ Million)

Figure 15. Europe Algorithmic IT Operations (AIOps) Market Size 2021-2027 (US$ Million)

Figure 16. Japan Algorithmic IT Operations (AIOps) Market Size 2021-2027 (US$ Million)

Figure 17. Algorithmic IT Operations (AIOps) Market Size in China (2021-2027) (US$ Million)

Figure 18. Algorithmic IT Operations (AIOps) Market Size in Southeast Asia (2021-2027) (US$ Million)

Figure 19. Algorithmic IT Operations (AIOps) Market Size in India (2021-2027) (US$ Million)

Figure 20. Bottom-up and Top-down Approaches for This Report

Figure 21. Data Triangulation

Figure 22. Key Executives Interviewed