According to the latest market research study published by P&S Intelligence, the U.S. automated machine learning (AutoML) market is witnessing a substantial surge, with its size climbing from USD 428.6 million in 2024 to an anticipated USD 535.8 million in 2025. Forecasts project a robust compound annual growth rate (CAGR) of 26% between 2025 and 2032, ultimately reaching an impressive USD 2.70 billion by 2032. This expansion is being fueled by the rising integration of AutoML across industries that seek to enhance operational efficiency, derive actionable insights from complex data, and foster intelligent automation. Notably, the widespread embrace of no-code and low-code platforms is revolutionizing user accessibility, empowering even non-technical professionals to leverage machine learning models independently. Platforms like BigML and Creatio are leading this transformation, offering intuitive interfaces and scalable solutions that meet the demands of both enterprises and SMEs.
The market is also experiencing a significant
shift toward cloud-based deployment, which enables faster implementation, lower
infrastructure costs, and greater scalability. As cloud-native solutions
dominate the landscape, businesses are increasingly drawn to AutoML’s ability
to generate insights with minimal human intervention, thereby driving smarter,
faster decisions. With strong investments in technology and rising awareness of
AI benefits, the AutoML market in the U.S. is primed for exponential growth.
Key Insights
- Cloud deployment leads the U.S. AutoML market, accounting for
nearly 80% of revenue in 2024. Its dominance is attributed to benefits
like cost efficiency, simplified updates, and flexible access to
resources, making it a preferred choice for companies of all sizes.
- Sales and marketing management holds the largest application share,
with nearly 60% of usage in 2024. Companies are leveraging AutoML for
customer behavior analysis, personalized marketing campaigns, and improved
lead conversion rates.
- The rise of no-code and low-code AutoML platforms is reshaping the
development landscape. These tools represent over 70% of software
development by democratizing model creation and empowering non-developers
to participate in AI initiatives.
- Western U.S. leads the market in terms of revenue generation,
driven by the strong presence of tech-forward industries and innovation
hubs. Meanwhile, the Northeastern region is expected to witness the
fastest growth rate during the forecast period due to increased investment
in AI infrastructure and digital transformation initiatives.
- The SME segment is rapidly catching up, as affordable and
user-friendly AutoML platforms reduce barriers to entry. SMEs are
increasingly adopting AI to streamline operations, enhance customer
engagement, and gain competitive advantages.
- Technological advancements are accelerating market dynamics. For
instance, BigML introduced its Association Discovery feature in December
2024, enhancing its platform's capabilities in uncovering hidden data
relationships.
- Creatio’s successful $200 million funding round in June 2024
highlights growing investor confidence in no-code automation platforms,
further propelling AutoML adoption across new industry verticals.
- The AutoML market’s growth trajectory is supported by heightened
focus on AI-driven decision-making, rising demand for automated data
processing, and the strategic push by organizations to integrate
intelligence across their digital ecosystems.
- Companies are prioritizing platforms that offer integration ease, automated preprocessing, and robust data visualization tools, which are essential for scaling AI initiatives across diverse departments.
- The overall ecosystem is maturing, with vendors focusing on enhancing platform interoperability, embedding explainability features, and supporting multi-cloud environments to address evolving business needs.
