The global process automation space was valued at USD 48.13 billion in 2024 and is projected to reach USD 184.29 billion by 2032, growing at a CAGR of 18.3% from 2024 to 2032. This industry spans industrial AI, autonomous operations, digital twins, and predictive maintenance solutions, driving a new era of intelligent, self-optimizing, and connected industrial systems. The adoption of software-defined automation, real-time AI-driven operations, and advanced digital twins positions process industries for enhanced efficiency, safety, and operational resilience.

• How will rising operational costs, energy expenses, and competitive pressures drive the demand for AI-driven automation that can optimize processes in real time and reduce waste?
• What impact will the maturation of AI agents and edge computing have on real-time autonomous decision-making, and which growth prospects are emerging due to the same?
• With organizations seeking vendor-agnostic, modular solutions that enable rapid deployment and updates without hardware dependencies, how is the software-defined automation space poised for growth?