The Global AIOps market value will surpass USD 10 billion by 2027. With the introduction of cutting-edge technologies like AI and machine learning, end-users can solve customer queries promptly, without causing too much delay in the process. AIOps analyzes the algorithms of Observability telemetry and IT data with the help of artificial intelligence, natural language processing (NLP), and machine learning.
Global AIOps market share will grow at a commendable rate with rising adoption of AI-powered technologies in a wide range of business processes. Digitization has significantly impacted the way companies carry out their daily operations.
Since the applications allow DevOps, IT Ops, and SRE teams to detect and resolve several digital service issues much faster, it can not only positively impact their productivity but also expand their customer base. According to some surveys, around 45% of companies are using AIOps to get better insights into the root cause of issues and enhance their potential problem prediction capabilities.
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Cloud deployment model widely used to implement AIOps solutions:
Global AIOps market size from cloud deployment model will register an impressive growth rate over the coming years. A rising percentage of large-scale organizations are switching to virtual networking platforms to store their data files and conduct their day-to-day business operations.
Cloud deployment models can help companies store a wide variety of data files in an organized manner, without compromising on their problem-solving capabilities. Some of these files include code commits, version control systems, CI/CD operations, application logs, infrastructure & inventory, and test automation systems.
For example, IBM’s Cloud Pak for Watson AIOps helps firms organize separate data sources methodically. The integrated management platform uses different AI technologies to predict and identify certain events proactively as well as reactively. This model also enables the smooth transition from traditional to smart IT operations.
Demand for network & security management application rises:
Network & security management application will capture a major share of global AIOps industry. Cybersecurity issues are growing at a worrying pace because illegal hackers are upgrading their techniques to break into complex IT security infrastructures.
According to the Crimes in India 2020 report published by the National Crime Records Bureau (NCRB), 50,035 cybercrime cases were registered in the country in 2020, a 12% rise from the previous year. This scenario has prompted companies to strengthen their IT network and security by employing AIOps solutions.
AIOps platforms use the collected streaming network telemetry data to discover and classify devices. This gives them the opportunity to assess the communication between all the wireless, wired, and IoT devices, helping them easily identify malicious activities.
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Asia Pacific AIOps market outlook remains positive:
Asia Pacific AIOps market size is set to expand at a robust pace because many MNCs are outsourcing their non-core IT functions to these countries. The region’s IT infrastructure is undergoing major changes to accommodate the rising data load and equip employees with resources that can help them efficiently resolve all customer queries.
AI technologies are receiving immense support from regional governments, with authorities encouraging companies to incorporate smart technologies in their daily operations. For instance, in Leading IT firms in India, Wipro and TCS, have confirmed that they would be working at the new innovation center of IBM in the country, to advance AI technology. The solutions focused here would include AIOps and its integration for businesses.
Global AIOps market will grow at a notable pace due to the rising popularity of smart technologies in IT processes. CA Technologies, Broadcom, Inc., BMC Software Inc., Cisco Systems, Inc., IBM Corporation, Splunk, Inc., and New Relic, Inc., among many others, are the reputed industry participants. Healthcare, retail and BFSI are some of the emerging end-user sectors for the technology.
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