The Artificial Intelligence for IT Operations (AIOps) platform mixes human intelligence with automated algorithms to give users complete visibility into IT system performance. The achievement of necessary speed and agility required for companies is a crucial driver pushing the adoption of AIOps in the IT environment. Furthermore, modern machine learning algorithms gather essential data collected in the background and provide actionable insights.
IBM; Splunk, Inc.; BMC Software, Inc; Broadcom Inc; and Moogsoft- Prominent Market Participants in AIOps Platform Market
The AIOps platform employs intelligence and self-learning algorithms supported by machine learning to automate routine IT processes. It also analyses historical and behavioral data to detect and predict potential incidents. Furthermore, it uses big data analytics to analyze cognitive data and draws relevant information from data for complete processing. Real-time data correlation, multi-dimensional data normalization, severity-based issue prioritization, and established response plans to mitigate future disasters are all made possible by integrating IT operations with AI. This ability to generate meaningful insights from scratch data aids in the development of a flexible AIOps system.
Factors such as the IT Data Exceeding Human Scale and AIOps assists enterprises in integrating diverse technologies and reducing the overhead time by automating various procedures thus, need for resource optimization are influencing the market growth. However, concerns regarding the adoption of modern solution over traditional methodology are restraining AIOps Platform market growth. Moreover, integration of AIOps Platform with Observability Platforms are among other factors contributing toward the market growth.
IBM; Splunk, Inc.; BMC Software, Inc; Broadcom Inc; and Moogsoft are the five key market players operating in the global AIOps Platform market. The AIOps Platform market is highly fragmented and competitive due to occurrence of huge number of small scale and medium scale manufacturers in both developed and developing economies. The top 5 market players are majorly focusing on various organic and inorganic growth strategies to survive in the AIOps Platform market. Such as, innovation of new technologies to offer enhanced product portfolios to the customers, merger and acquisitions, and expansion strategies.
Most of the market initiatives were observed in the North America region, which have a high potential of AIOps Platform providers. Few of the important market initiatives and product developments from the industry are mentioned below:
| Year | News | Region |
| 2021 | IBM Corporation and NeuReality partnered up to develop AI inference platforms. Both companies will evaluate NeuReality products for use in IBM’s hybrid cloud, including systems flows, AI use cases, networking, virtualization, and security, among other products. | North America |
| 2019 | Resolve Acquires FixStream for $24M USD to Deliver Game-Changing Combination of AIOps & Advanced Automation in a Unified Platform. Acquisition empowers agile IT operations with the ability to predict, diagnose, and automate resolution of complex infrastructure and application issues in seconds. | North America |
