At a predicted CAGR of 22.7% during the forecast period, the global AIOps Platform Market is expected to increase from USD 11.7 billion in 2023 to USD 32.4 billion by 2028. AIOps systems are being used across a variety of industries to streamline IT operations and boost economic growth. AIOps supports real-time transaction monitoring and fraud detection in banking and finance. Diagnostics and patient data management are enhanced, which enhances healthcare.
AIOps are used in retail and e-commerce for demand forecasting and customized customer experiences. Customer satisfaction and network performance are improved via telecommunications. Predictive maintenance improves production in the manufacturing industry. Governments improve citizen services and cybersecurity. Energy and utilities optimize distribution and predict maintenance needs. Transportation and logistics streamline operations for cost-effective efficiency.
Platform and services make up the two segments of the AIOps Platform market. During the projected period, the CAGR for services is anticipated to be at its greatest. AIOps solutions introduced intelligent automation, proactive monitoring, and predictive analytics, transforming conventional IT service management techniques. By moving toward AIOps, incident management was streamlined, resource allocation was made more efficient, and service delivery was generally improved.
AIOps provided quicker incident response, decreased downtime, and improved service reliability by utilizing AI algorithms to examine enormous volumes of data. This change enabled IT teams to become more proactive and data-driven, greatly enhancing the efficacy and efficiency of service management procedures.
Asia Pacific is predicted to have the greatest CAGR during the projection period. In Asia Pacific, which encompasses China, India, Japan, ASEAN, South Korea, and ANZ (Australia and New Zealand), AIOps Platform is expanding quickly. Businesses in the area were quickly adopting AIOps as they saw its potential to improve IT operations and spur digital transformation.