According to Renub Research North America is shaping the global AutoML industry with unmatched execution speed, AI-native enterprise culture, cloud-first deployments, and severe data-talent scarcity that increases automation dependency. The market leap from US$ 1.02 Billion in 2024 to US$ 13 Billion by 2033 at a 32.66% CAGR (2025-2033) signals more than growth—it signals a methodological takeover, where companies prefer automated ML pipelines over traditional model engineering that requires large data-science teams.
The future forecast up to 2033 indicates a transition defined by: AI-assisted model engineering replacing manual data-science workloads Cloud-scaled GPU-enabled AutoML training districts Real-time federated data intelligence across multi-country deployments Model monitoring and regulatory compliance automation Enterprise-ready scalability for …North America AutoML Market to Reach $13B by 2033, CAGR 32.66%
According to Renub Research North America Automated Machine Learning (AutoML) Market is projected to grow from US$1.02 billion in 2024 to US$13 billion by 2033, registering a remarkably strong CAGR of 32.66% during 2025–2033. This rapid expansion is driven by rising enterprise adoption of artificial intelligence, widening skill gaps among data scientists, accelerated cloud migration, advances in machine learning algorithms, and the continued push for digital transformation across industries. As organizations face massive data volumes and tighter timelines for analytics, AutoML emerges as a fast, cost-efficient solution that democratizes machine learning development.
North America Automated Machine Learning Industry OverviewAutomated Machine Learning (AutoML) automates the complete machine learning pipeline—from data ingestion, clea…