Global AIOps market is growing at a significant CAGR during the forecast period. AIOps is used to automate and enhance IT operations by using Artificial Intelligence (AI). AIOps uses analytics and machine learning to analyze a large amount of data that are collected from various sources in the IT infrastructure. AIOps, directly and indirectly, enhance IT operations including automation, monitoring, and service desk. AIOps consists of two primary components big data and machine learning. AIOps enables the simultaneous use of data collection methods, multiple data sources, presentation technologies, and analytical technologies.
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Factors Driving global AIOps Market
- Increasing computing power
- Increasing amount of data
- Difficulty in manually managing IT operations
- Better prediction of downtime
As IT operation personnel (IT Ops) is experiencing a revolution. A change to traditional IT management techniques is necessary for digital business forces. Additionally, there has been a significant change in current IT Ops procedures and IT ecosystem management have been restructured. Moreover, current IT infrastructure is getting more complex with the increasing use of modern IT environment such as unmanaged cloud, third party services, SaaS integrations, and so on. In this dynamic IT environment, managing complexity with the traditional approach is difficult and tracking and managing these complexities with human sight is not possible anymore. As current IT Ops is getting weak in management the need for AIOps is increasing, hence driving the AIOps market.
Another major factor is the amount of data needed by IT Ops is increasing. With the introduction of application program interfaces (API), IoT devices, digital and machine users, mobile applications service function ticket volumes are experiencing step function increases. Additionally, a large number of events and alerts are being generated, due to which manual reporting and analysis are becoming much complex than before. Additionally, computing power is boosting which results in easy availability of third party services and cloud infrastructure. Due to this, line of business functions can build their own IT applications and solutions using these services.
The delivery infrastructure being complex makes it very hard to understand the impact of issues in IT infrastructure. Some of the AIOps products are able to overcome this issue by fusing the business services delivered to the exact network set and infrastructure elements that present the service. Due to this, AIOps products are capable to provide a true picture of the topology of services.
Trending in Global AIOps Market
- Technology partnerships are happening between countries to handle customer demands about better API.
- Organizations are trying to automate tasks which require more skills and work to boost agility. Due to this, a wide range of opportunities in AIOps market can be explored by organizations which results in better efficiency.
- Organizations are using real-time data for event correlation and quick peculiarity detection because, with the current pace of the industry, old data is useless.
Global AIOps Market: Segmentation
By Deployment Method
- On-Premises
- Cloud
By End-User
- BFSI
- IT & Telecom
- Healthcare
- Media and Entertainment
- Others (Retail, Government Organizations)
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AIOps Market– Segment by Region
North America
- United States
- Canada
Europe
- Germany
- United Kingdom
- France
- Spain
- Italy
- Rest of Europe
Asia-Pacific
- China
- Japan
- India
- Rest of Asia-Pacific
Rest of the World
- Middle East & Africa
- Latin America
Company Profiles
- AIMS Innovation AS
- AppDynamics
- BigPanda, Inc.
- Broadcom Inc
- Datadog, Inc.
- Dynatrace LLC.
- Elasticsearch B.V
- ExtraHop Networks, Inc.
- HCL Technologies Ltd
- IBM Corp.
- Logshero Ltd.
- Loom Systems Ltd.
