AIOps Market Report, Industry Drivers, Growth Factors and Forecast 2022-2027
According to IMARC Group latest report titled “AIOps Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2022-2027”, offers a comprehensive analysis of the industry, which comprises insights on AIOps market analysis. The report also includes competitor and regional analysis, and contemporary advancements in the global market. The global AIOps market is expected to exhibit a CAGR of 21.2% during 2022-2027.
AIOps (Artificial Intelligence for IT Operations) is a term used to describe the use of machine learning and big data analytics to automate and improve IT operations. AIOps aims to help organizations proactively detect and resolve IT issues, enhance the quality of service, and increase efficiency. It leverages large amounts of data from various IT systems to detect and diagnose problems in real-time, including logs, performance metrics, and network data. Machine learning algorithms allow AIOps systems to continuously learn from this data, improving their ability to detect and resolve issues over time. AIOps are increasingly being adopted by organizations across a range of industries, as it provides a way to manage the complexity of modern IT systems and improve the efficiency of IT operations.
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Market Trends:
The global market is majorly driven by the increasing demand for better IT service management and improved operational efficiency. In line with this, the rising need to better manage the growing complexity of IT systems is significantly contributing to the market growth. Furthermore, the escalating demand for IT operations automation and the increasing importance of IT service quality are positively influencing the market. Apart from this, multiple companies are widely adopting domain-enriched Machine Learning (ML), the connection of knowledge, and Natural Language Processing (NLP) techniques to offer enhanced AIOps platforms and services. Moreover, enterprise IT workers are extensively utilizing AIOps solutions to keep their computing systems running despite technical issues. This, in turn, is expected to catalyze the market. Besides, the rising focus of organizations worldwide on cutting back on IT capital expenditure is propelling the market. Additionally, the emergence of Platform-as-a-Service and Software-as-a-Service and significant growth of the IT & telecom sectors are expected to provide a boost to the market.
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Competitive Landscape:
The competitive landscape of the market has been studied in the report with the detailed profiles of the key players operating in the market.
- Appdynamics (Cisco Systems Inc.)
- BMC Software Inc.
- Broadcom Inc.
- Dynatrace Inc.
- HCL Technologies
- International Business Machines Corporation
- Micro Focus International plc
- Moogsoft Inc.
- Resolve Systems LLC
- Splunk Inc.
- Vmware Inc. (Dell Technologies Inc.)
- Zenoss Inc
AIOps Market Segmentation:
Our report has categorized the market based on region, organization size, deployment mode and end use industry.
Breakup by Organization Size:
- Small and Medium Enterprises
- Large Enterprises
Breakup by Deployment Mode:
- On-premise
- Cloud
Breakup by End Use Industry:
- Media and Entertainment
- IT and Telecom
- Retail
- BFSI
- Healthcare
- Others
Breakup by Region:
- North America (United States, Canada)
- Europe (Germany, France, United Kingdom, Italy, Spain, Others)
- Asia Pacific (China, Japan, India, Australia, Indonesia, Korea, Others)
- Latin America (Brazil, Mexico, Others)
- Middle East and Africa (United Arab Emirates, Saudi Arabia, Qatar, Iraq, Other)
Key highlights of the report:
- Market Performance (2016-2021)
- Market Outlook (2022-2027)
- Porter’s Five Forces Analysis
- Market Drivers and Success Factors
- SWOT Analysis
- Value Chain
- Comprehensive Mapping of the Competitive Landscape
Note: We are in the process of updating our reports. If you want to receive the latest research data covering the time period from 2023 to 2028, along with industry trends, market size, and competitive analysis, click on the request sample report. The team would be able to deliver the latest version of the report in a quick turnaround time.
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