Industrial automation spending to hit USD $350 billion by 2030

The latest research by IoT Analytics projects that industrial automation enterprise spending is set to reach USD $350 billion by 2030.

The Industrial Automation Projects Report and Database 2025 offers an analysis of over 4,000 projects by Siemens, Emerson, Rockwell Automation, ABB, and Schneider Electric. This research elucidates regional and industry-specific trends in automation technology across sectors such as machinery, automotive, energy, and food & beverage.

Siemens is noted for its projects within the machinery and automotive sectors, predominantly in Europe. In contrast, Emerson and Rockwell Automation have a stronger project presence in North America. ABB is significant in energy and electrical projects, while Schneider Electric is particularly prominent in the food and beverage industry.

The report explores the geographical distribution and technology stack utilised by these vendors, offering insights into their strategic focus areas. It further investigates how these trends may shape future investments in industrial automation.

AI adoption in industrial automation is minimal at present, with only 3% visibility within the analysed projects. However, the research forecasts a potential increase as automation evolves.

Knud Lasse Lueth, CEO at IoT Analytics, stated, "At IoT Analytics, we are committed to shedding light on critical areas of digital transformation, helping businesses navigate the evolving automation landscape. Our latest analysis of over 4,000 industrial automation projects highlights the strategic positioning of key players: Siemens' dominance in Europe and machinery, backed by its extensive software suite; Emerson's leadership in process industries; and Schneider Electric's expertise in hybrid sectors like food and beverage."

Zeynep Kaman, Market Analyst at IoT Analytics, commented, "The industrial automation database shows different areas of interests emerging from more than 4,000 analysed projects. Some industries focus on control and monitoring, while others show appearance in digital and associated solutions. The mixture of technologies varies widely - hardware remains essential. AI, however, is still in its early stages, only 3% is visible in projects. As automation progresses, AI is the natural next step. While widespread adoption hasn't happened yet, companies are paying attention, and its role in industrial operations is only set to grow."