The Global AIOPs platform market generated revenue of US$ 7.6 Bn in 2023. The global AIOps Platform market is expected to generate a revenue of US$ 35.24 Bn with a CAGR of 24.5% by 2030.
Global AIOps Platform Market- Trends
The demand for smart machines and devices
The activities and transactions involved in banking operations are frequently done by clients, employees, and outside organizations. Due to the complexity of these processes, monitoring is crucial. Over the course of the projection period, AIOps provided real-time information and automated problem-solving are anticipated to fuel market growth. Financial institutions are able to resolve complex IT issues, such as performance, capacity, and configuration concerns, thanks to the AIOps platform from C.A. technologies, also known as C.A. Digital Experience Insights.
Because of the numerous high-profile data breaches over the past few years, banks and other financial institutions are particularly concerned with protecting the security of the data they produce.
AIops is being used by many banks and other financial organizations to improve efficiency. For instance, major Indian banks wanted to improve the efficiency of the on boarding of their digital merchants as well as streamline and make transactions easier for their new customers. QualityKiosk's AIops-based analytics solution AnaBot improved merchant onboarding success rates and increased revenue by 7% by better supporting ON-US & OFF-US transactions.
Approximately three-fourths (74%) of financial institutions in the U.S. and the U.K. reported an increase in cybercrime, according to British Aerospace (BAE) Systems Applied Intelligence. Cybercrime can have serious financial repercussions for businesses in addition to known financial losses, including collapsing stock prices, reputational harm, and legal action. AIops can assist in the prosecution of this crime. To protect vulnerable systems, AIops solutions provide round-the-clock monitoring, suspicious activity detection, and defense operation activation.
Additionally, the capabilities put into the service desk systems were improved by the integration of A.I. in operating services across financial institutions. As a result, it offers the supervision and key performance indicators required for top management to spot operational trends before they negatively affect the current goods and processes.
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