Manufacturing AI Investment Has Projected Growth to 2030
As workforce counts decline, manufacturers are shifting capital into industrial AI and robotics to offset rising costs.
Updated on Oct. 7, 2026 in Manufacturing
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A new Forrester report projects that global industrial AI software spending will grow to $3.25 billion by 2030, rising from $908 million in 2024. European manufacturers are leading this adoption of automation to combat energy costs and labor shortages.
Why it matters
Manufacturers are aggressively pursuing digital integration to stabilize margins against geopolitical uncertainty and persistent workforce attrition. These investments aim to modernize operational technology as the sector faces a projected contraction in human labor.
Global industrial AI software spending is forecast to reach $3.25 billion by 2030, up from $908 million in 2024. Over that same period, the EU manufacturing workforce is expected to decline to 29.5 million workers from 30.1 million, even as tech spending grows to $129.2 billion.
The players
Forrester
A global research and advisory firm providing market analysis on technology adoption and business strategy.
The details
Manufacturers are currently integrating IT and operational technology environments through the implementation of robotics, industrial AI, and centralized data platforms. This strategic shift allows firms to bridge the gap between legacy machinery and modern performance analytics. By automating routine workflows, businesses look to mitigate rising energy expenses while adjusting to a smaller, more specialized labor pool.
Timeline
2024: Western Europe reached 267 industrial robots per 10,000 employees.
2025-2030: The period covered by the latest global manufacturing forecast.
2030: The projected endpoint for global spending and EU workforce metrics.
Market Landscape
The Global Manufacturing Forecast, 2025 To 2030 provides a multi-year benchmark for tracking capital reallocation in industrial sectors. It follows a pattern where firms prioritize operational efficiency through software over traditional workforce expansion to maintain competitive output.
Operators should evaluate whether current IT infrastructure can support industrial AI integration as competitive pressure for automation increases. Focus on aligning capital expenditure budgets with the rising costs of operational platforms to remain efficient as labor pools tighten.
The takeaway
The trend toward automation is a strategic response to structural labor shortages rather than purely a cost-cutting measure. Operators should monitor the ratio of robot density to employee counts within their specific sub-sectors as a proxy for the pace of regional digital transformation.
Further reading
Learn more about the latest trends in the Manufacturing sector.
Source note: This article includes information reported by Manufacturing & Logistics IT Magazine.
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