AIOps Market

AIOps Market



Growth Factors of AIOps Market

The AIOps market size was reached at a value of USD 1.59 billion in 2023, and the market is now projected to grow from USD 1.87 billion in 2024 to USD 8.64 billion by 2032, exhibiting a CAGR of 21.1% during the forecast period of 2023-2032.

The COVID-19 pandemic contributed significantly to the increasing data usage as the consumer are shifting towards digital platforms. As governments implemented lockdowns, data usage increased throughout businesses, particularly among telecommunications companies in diverse countries. Moreover, due to the pandemic, companies are preferring to do all the business meetings through digital platforms, and a large number of employees began working from home by connecting remotely. This raised demand for data governance solutions to help manage data more efficiently.

Organizations may retake control and lower operational risks without giving up the financial benefits of outsourcing thanks to the growing investment in AIOps. It guarantees the effectiveness of service providers by providing a thorough understanding of IT operations performance. It offers automated access to manage all IT operations procedures, as well as KPIs and performance data related to them, greatly reducing expenses for businesses over time. Digital transformation across IT processes is fuelled by the increasing use of artificial intelligence technology to manage a variety of IT activities, freeing up enterprises to concentrate on launching new digital projects. Such factors will augment AIOps market growth significantly.

Additionally, due to increase in online presence of consumers, proliferation of mobile services and rising use of social media have all contributed to generated of massive data, hence boosting AIOps market market growth. The complexity of IT infrastructure is increased by the growing need for proactive and predictive IT operations brought about by the integration of machine learning, artificial intelligence, and natural language processing (NLP) techniques. IT teams can take preventive action by using artificial intelligence for IT operations platforms, which use machine learning algorithms to predict possible problems before they affect operations. Adopting conventional methods to address IT problems is no longer efficient or effective enough to meet the demands of the continuously changing digital environment of today. As a result, in order to improve artificial intelligence for IT operations platforms and services, some businesses are pooling their resources.

Comprehensive Analysis of AIOps Market

The AIOps market is witnessing an exponential rate due to its market segmentation. This market expansion effectively provides a detailed regional assessment considering the dominant supply and demand forces that impact the technology benefit management industry. These segmentations are methodically segregated by enterprise type, by deployment type, by application and by industry. The enterprise type includes, Small & Medium Enterprises (SMEs) and Large Enterprises and by deployment type includes on-premise and cloud, by application segment includes Application Performance Management, Infrastructure Management, Network and Security Management, Real-Time Analytics, and Others. However, the by industry segment includes IT & Telecom, BFSI, Healthcare, Manufacturing, Retail & E-commerce, Government, Energy & Utility, and others.

In AIOps market, the North America region lead the technology devices market by benefitting a market size of USD 0.61 billion in 2023 owing to growing need for proactive and predictive IT operations.

The top players in the market play a crucial role in the industry assuring industrial prospectus growth and setting market standards. These players include, Dynatrace LLC. (U.S.), Open Text Corporation (Micro Focus) (U.K.), Amazon Web Services, Inc. (U.S.), Extreme Networks (U.S.), IBM Corporation (U.S), BMC Software, Inc. (U.S.), Dell Inc. (U.S.), HCL Technologies Limited (India), Splunk Inc. (U.S.), Broadcom Inc. (U.S.) these market players provide a level-playing competitive environment across the globe.

In May 2024, To implement digital changes in Visionet's ITOps operations, technology service provider Visionet Systems Inc. partnered with artificial intelligence platform supplier Algomox. Through the use of cutting-edge AI technology, the integration of Algomox's AIOps platform with Visionet's managed cloud services automates difficult IT operations, provides deep operational data insights, and guarantees dependable service delivery.

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 21.1% from 2024 to 2032

Unit Value (USD billion)

Segmentation By Enterprise Type
  • Small & Medium Enterprises (SMEs)
  • Large Enterprises
By Deployment
  • On-premise
  • Cloud
By Application
  • Application Performance Management
  • Infrastructure Management
  • Network and Security Management
  • Real-Time Analytics
  • Others (Predictive Analytics, Root Cause Analysis)
By Industry
  • IT & Telecom
  • BFSI
  • Healthcare
  • Manufacturing
  • Retail & E-commerce
  • Government
  • Energy & Utility
  • Others (Media & Entertainment)
By Region
  • North America (By Enterprise Type, By Deployment, By Application, By Industry, and By Country)
- U.S.

- Canada

- Mexico
  • Europe (By Enterprise Type, By Deployment, By Application, By Industry, and By Country)
- U.K.

- Germany

- France

- Italy

- Spain

- Russia

- Benelux

- Nordics

- Rest of Europe
  • Asia Pacific (By Enterprise Type, By Deployment, By Application, By Industry, and By Country)

  • - China

    - India

    - Japan

    - South Korea

    - ASEAN

    - Oceania

    - Rest of Asia Pacific
    • Middle East & Africa (By Enterprise Type, By Deployment, By Application, By Industry, and By Country)
    - Turkey

    - Israel

    - GCC

    - South Africa

    - North Africa

    - Rest of the Middle East & Africa
    • South America (By Enterprise Type, By Deployment, By Application, By Industry, and By Country)
    - Brazil

    - Argentina

    - Rest of South America


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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 AIOps Key Players (Top 3 – 5) Market Share/Ranking, 2023
5. Global AIOps Market Size Estimates and Forecasts, By Segments, 2019-2032
5.1. Key Findings
5.2. By Enterprise Type (USD)
5.2.1. Small & Medium Enterprises (SMEs)
5.2.2. Large Enterprises
5.3. By Deployment (USD)
5.3.1. On-premise
5.3.2. Cloud
5.4. By Application (USD)
5.4.1. Application Performance Management
5.4.2. Infrastructure Management
5.4.3. Network and Security Management
5.4.4. Real-Time Analytics
5.4.5. Others (Predictive Analytics, Root Cause Analysis, etc.)
5.5. By Industry (USD)
5.5.1. IT & Telecom
5.5.2. BFSI
5.5.3. Healthcare
5.5.4. Manufacturing
5.5.5. Retail & E-commerce
5.5.6. Government
5.5.7. Energy & Utility
5.5.8. Others (Media & Entertainment)
5.6. By Region (USD)
5.6.1. North America
5.6.2. Europe
5.6.3. Asia Pacific
5.6.4. Middle East & Africa
5.6.5. South America
6. North America AIOps Market Size Estimates and Forecasts, By Segments, 2019-2032
6.1. Key Findings
6.2. By Enterprise Type (USD)
6.2.1. Small & Medium Enterprises (SMEs)
6.2.2. Large Enterprises
6.3. By Deployment (USD)
6.3.1. On-premise
6.3.2. Cloud
6.4. By Application (USD)
6.4.1. Application Performance Management
6.4.2. Infrastructure Management
6.4.3. Network and Security Management
6.4.4. Real-Time Analytics
6.4.5. Others (Predictive Analytics, Root Cause Analysis, etc.)
6.5. By Industry (USD)
6.5.1. IT & Telecom
6.5.2. BFSI
6.5.3. Healthcare
6.5.4. Manufacturing
6.5.5. Retail & E-commerce
6.5.6. Government
6.5.7. Energy & Utility
6.5.8. Others (Media & Entertainment)
6.6. By Country (USD)
6.6.1. United States
6.6.2. Canada
6.6.3. Mexico
7. Europe AIOps Market Size Estimates and Forecasts, By Segments, 2019-2032
7.1. Key Findings
7.2. By Enterprise Type (USD)
7.2.1. Small & Medium Enterprises (SMEs)
7.2.2. Large Enterprises
7.3. By Deployment (USD)
7.3.1. On-premise
7.3.2. Cloud
7.4. By Application (USD)
7.4.1. Application Performance Management
7.4.2. Infrastructure Management
7.4.3. Network and Security Management
7.4.4. Real-Time Analytics
7.4.5. Others (Predictive Analytics, Root Cause Analysis, etc.)
7.5. By Industry (USD)
7.5.1. IT & Telecom
7.5.2. BFSI
7.5.3. Healthcare
7.5.4. Manufacturing
7.5.5. Retail & E-commerce
7.5.6. Government
7.5.7. Energy & Utility
7.5.8. Others (Media & Entertainment)
7.6. By Country (USD)
7.6.1. United Kingdom
7.6.2. Germany
7.6.3. France
7.6.4. Italy
7.6.5. Spain
7.6.6. Russia
7.6.7. Benelux
7.6.8. Nordics
7.6.9. Rest of Europe
8. Asia Pacific AIOps Market Size Estimates and Forecasts, By Segments, 2019-2032
8.1. Key Findings
8.2. By Enterprise Type (USD)
8.2.1. Small & Medium Enterprises (SMEs)
8.2.2. Large Enterprises
8.3. By Deployment (USD)
8.3.1. On-premise
8.3.2. Cloud
8.4. By Application (USD)
8.4.1. Application Performance Management
8.4.2. Infrastructure Management
8.4.3. Network and Security Management
8.4.4. Real-Time Analytics
8.4.5. Others (Predictive Analytics, Root Cause Analysis, etc.)
8.5. By Industry (USD)
8.5.1. IT & Telecom
8.5.2. BFSI
8.5.3. Healthcare
8.5.4. Manufacturing
8.5.5. Retail & E-commerce
8.5.6. Government
8.5.7. Energy & Utility
8.5.8. Others (Media & Entertainment)
8.6. By Country (USD)
8.6.1. China
8.6.2. India
8.6.3. Japan
8.6.4. South Korea
8.6.5. ASEAN
8.6.6. Oceania
8.6.7. Rest of Asia Pacific
9. Middle East & Africa AIOps Market Size Estimates and Forecasts, By Segments, 2019-2032
9.1. Key Findings
9.2. By Enterprise Type (USD)
9.2.1. Small & Medium Enterprises (SMEs)
9.2.2. Large Enterprises
9.3. By Deployment (USD)
9.3.1. On-premise
9.3.2. Cloud
9.4. By Application (USD)
9.4.1. Application Performance Management
9.4.2. Infrastructure Management
9.4.3. Network and Security Management
9.4.4. Real-Time Analytics
9.4.5. Others (Predictive Analytics, Root Cause Analysis, etc.)
9.5. By Industry (USD)
9.5.1. IT & Telecom
9.5.2. BFSI
9.5.3. Healthcare
9.5.4. Manufacturing
9.5.5. Retail & E-commerce
9.5.6. Government
9.5.7. Energy & Utility
9.5.8. Others (Media & Entertainment)
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 MEA
10. South America AIOps Market Size Estimates and Forecasts, By Segments, 2019-2032
10.1. Key Findings
10.2. By Enterprise Type (USD)
10.2.1. Small & Medium Enterprises (SMEs)
10.2.2. Large Enterprises
10.3. By Deployment (USD)
10.3.1. On-premise
10.3.2. Cloud
10.4. By Application (USD)
10.4.1. Application Performance Management
10.4.2. Infrastructure Management
10.4.3. Network and Security Management
10.4.4. Real-Time Analytics
10.4.5. Others (Predictive Analytics, Root Cause Analysis, etc.)
10.5. By Industry (USD)
10.5.1. IT & Telecom
10.5.2. BFSI
10.5.3. Healthcare
10.5.4. Manufacturing
10.5.5. Retail & E-commerce
10.5.6. Government
10.5.7. Energy & Utility
10.5.8. Others (Media & Entertainment)
10.6. By Country (USD)
10.6.1. Brazil
10.6.2. Argentina
10.6.3. Rest of South America
11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)
11.1. Amazon Web Services, Inc.
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. IBM Corporation
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. Dynatrace LLC.
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. BMC Software, 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. Open Text Corporation (Micro Focus)
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. Splunk Inc.
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. Dell Inc.
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. HCL Technologies Limited
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. Extreme Networks
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. Broadcom 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
12. Key Takeaways

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