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Machine learning and AI integration could emerge as a prominent trend driving the adoption of cloud workload protection solutions and services. Cloud workload protection solutions are increasingly incorporating machine learning and artificial intelligence to detect and respond to security threats proactively. For instance, in June 2023, Cisco, a prominent player in enterprise networking and security, is actively fulfilling its commitment to introduce the AI-powered Cisco Security Cloud.
This innovative solution aims to streamline cybersecurity and enable individuals to perform their tasks effectively, no matter where they are, even in the face of progressively complex cybersecurity threats. Cisco is channeling investments into state-of-the-art advancements in artificial intelligence and machine learning, which will empower security teams by streamlining their tasks and enhancing their effectiveness. These technologies can analyze vast amounts of data in real time to identify patterns and anomalies, improving threat detection and reducing false positives, further propelling product adoption rate.
Increased cloud adoption is another key factor that may shape the cloud workload protection market outlook over 2023-2032. The widespread adoption of cloud computing services has led to a significant expansion of cloud workloads. As organizations migrate their data and applications to the cloud, the need for robust security solutions to protect these workloads from threats like malware, data breaches, and other cyberattacks has grown.
As per the "Future of Cloud and Its Economic Impact: Opportunity for India" report by NASSCOM, the rapid adoption of cloud technology could contribute an estimated value of $310-380 billion to India's GDP by 2026. Additionally, this adoption is anticipated to create approximately 14 million job opportunities, encompassing both direct and indirect roles. The realization of these prospects is contingent not only on the technology sector's growth rate but also on the ability of non-technology sectors to harness technology effectively to enhance their overall performance and influence. This technological transformation has driven the demand for cloud workload protection solutions, carving a healthy market growth trajectory.