AI-Powered Robotics Market to Reach $375 Billion by 2030, Goldman Sachs Projects

Goldman Sachs: AI-Robotics Market to Hit $375B by 2030

Goldman Sachs Research has published its most comprehensive robotics market analysis to date, projecting the AI-integrated robotics market will reach $375 billion by 2030 — a 4.8× expansion from the estimated $78 billion recorded in 2025.

The report, *"Robots Rising: The AI-Physical Convergence"*, was authored by Goldman's Global Investment Research team and draws on interviews with 140 industrial companies, 60 robotics vendors, and analysis of 12,000 automation procurement decisions.

The Core Thesis

Goldman's projection is built on three structural drivers that they argue are simultaneously accelerating:

Driver 1: AI reduces robot programming cost by 80%

Traditionally, programming a robot for a new application required specialized engineers at $85–$150/hour for 200–800 hours of work. AI-driven programming tools (natural language to robot motion, simulation-based learning) are reducing this to 40–160 hours for comparable complexity tasks.

"The programming cost barrier was the hidden reason SMEs didn't automate," the report states. "When that barrier drops, the total addressable market expands from large manufacturers to the 3.7 million SME manufacturers in the US and EU alone."

Driver 2: Humanoid robots create a new labor substitution category

Goldman estimates the addressable labor pool for humanoid robots — tasks that are physically repetitive, occur in human-scale environments, and don't require unique human judgment — represents $2.1 trillion in annual global wages.

At a 5% substitution rate by 2030 (their base case), that represents $105 billion in annual humanoid robot services revenue — a market that essentially did not exist in 2022.

Driver 3: Convergence of physical AI and cloud services

Robots-as-a-Service (RaaS) models shift robot economics from large capital expenditure to recurring operational expense. Goldman projects RaaS revenue will represent 42% of total robotics revenue by 2030, enabling companies that previously couldn't afford automation capital budgets to access robot capabilities.

Market Segment Projections (2030)

*Humanoid CAGR from near-zero base; high uncertainty range ($40B–$140B at 2030)

Key Risk Factors

The report explicitly acknowledges significant uncertainty:

• Humanoid timeline risk: The $85B humanoid projection assumes reliable dexterous manipulation for >80% of target tasks by 2029. Current state: ~40% success rate on unstructured manipulation benchmarks. Technology must more than double reliability in 3 years.

• Labor market response: If wages rise significantly (minimum wage legislation, union agreements), automation ROI improves and adoption accelerates past projections. If labor markets loosen, demand may moderate.

• Regulatory friction: EU AI Act implementation, product liability frameworks for autonomous robots, and sector-specific rules (FDA for pharma robots, FAA for agricultural drones) could slow adoption in regulated industries.

Investment Implications

Goldman identifies three investment themes:

1. Picks-and-shovels: Actuator manufacturers (Harmonic Drive, Nabtesco), GPU compute suppliers (NVIDIA), and sensor makers (Cognex, Keyence) benefit regardless of which robot platforms win.

1. Platform winners: Companies that establish RaaS platforms with high switching costs — analogous to cloud infrastructure — may capture disproportionate value.

1. Labor market beneficiaries: Companies with high labor cost exposure (logistics, food processing, light manufacturing) are most motivated buyers — and thus strongest demand drivers.

*Source: Goldman Sachs Global Investment Research, "Robots Rising: The AI-Physical Convergence" (March 2026)*