Industrial Automation Software Market Analysis: Insights and Forecasts for 2029

Meticulous Research® has published a report titled “Industrial Automation Software Market by Product (SCADA, DCS, MES, HMI, PLC, IT and Software Environment Integration Solutions, Production Process Test Systems), Deployment Type, End User, and Geography – Forecast to 2029.” The global industrial automation software market is projected to grow at a CAGR of 7.4%, reaching $59.5 billion by 2029.

Key factors driving this growth include the rising demand for qualitative and reliable manufacturing, the need for mass production at lower operational costs, and the emergence of Industry 4.0 and enabling technologies. Emerging automation-driven industries in developing countries offer significant opportunities for market players.

The market is segmented by product, deployment type, end user, and geography. Notably, the supervisory control and data acquisition (SCADA) segment is expected to dominate the market in 2022, as SCADA systems are essential for monitoring and optimizing automation processes. The human machine interface (HMI) segment, however, is anticipated to experience the highest CAGR during the forecast period.

In terms of deployment, the on-premise segment is expected to hold the largest market share in 2022 due to industries’ preference for enhanced security control. Yet, cloud-based solutions are predicted to grow at a higher CAGR.

Among end users, the oil & gas sector is projected to account for the largest share in 2022, driven by the need for automation in critical areas like drilling and pipeline monitoring. The chemicals & materials segment is also expected to grow rapidly, thanks to increased adoption of IoT and automation solutions that enhance efficiency and reduce costs.

Regionally, Asia-Pacific is forecasted to dominate the industrial automation software market in 2022, supported by government initiatives and investments in digitization.

Key players in the market include Emerson Electric, ABB, Siemens, and Honeywell.

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