As the world accelerates towards an AI-driven future, automated machine learning (AutoML) is rapidly carving out a significant share of this revolutionary frontier. This burgeoning field has spurred a surge of investment and attention, leading to a dynamic, expanding market. This blog post delves into the captivating world of AutoML, examining the current market size, projected growth rates, and the key trends driving this expansion. So whether you’re an enterprise leader, tech enthusiast, or a casual observer, join us as we navigate the dynamic terrain of AutoML market size statistics.

The Latest Automl Market Size Statistics Unveiled

The global AutoML market size is expected to reach USD 14.5 billion by 2025 at a CAGR of 43.7%.

As we journey through the exciting terrain of auto-machine learning (AutoML), it’s impossible to overlook the formidable projection that the global AutoML market size is set to achieve a high-water mark of USD 14.5 billion by 2025. Pacing at a Compound Annual Growth Rate (CAGR) of 43.7%, this forecast offers much more than just figures or numeric representation.

This powerful number holds a mirror to the surge in acceptance of AutoML technologies at a global scale, while also providing a peek into the potential it holds for organizations to gain competitive advantage. It is the pulse of an ecosystem guiding investors, stakeholders and decision-makers in shaping their strategies. The growth rate portrayed by the CAGR implicitly indicates the momentum at which technology is evolving, urging companies to strategize and keep pace.

This unprecedented growth projection also underscores the critical role AutoML holds in driving the digital revolution of the future, serving as a beacon for innovators who continually push the boundaries of machine learning. There is no doubt that this statistic is significant in the realm of AutoML, illustrating a sector full of breakthrough opportunities and suggestive of a monumental market change in the digital world.

In 2020, the worldwide AutoML market was estimated to be USD 269.6 million.

As we delve into the intriguing realm of the AutoML market, it’s worth paying attention to its robust financial footprint. Glancing backwards, we find that in 2020, the worldwide AutoML market had an estimated worth of a significant USD 269.6 million. This not only reveals the impressive scale of the market but also sets the stage to understand the magnitude of its involvement in the technological scene. This key statistic provides insightful perspective, by adding depth and context, to the captivating saga of AutoML’s escalating growth globally. It helps underline the trend of increasing investment, acceptance, and trust in AutoML, whilst engendering a launching pad to extrapolate future trends.

The U.S. market held the largest AutoML market share in 2019.

Undeniably, the declaration of the U.S. market retaining the largest AutoML market share in 2019 carries immense significance for understanding the landscape of AutoML market size statistics. It serves as vivid empirical proof, outlining the U.S. as a crucial terrain for AutoML technologies, not merely as a hub for inception, but also for adoption. This piece of information thus illustrates the thriving penchant for AutoML solutions within U.S. industries, hinting towards the country’s tech-forward outlook. Consequently, it’s a vital touchpoint for businesses looking to unravel profitable opportunities or for investors seeking promising avenues in this edgy technology.

The Asia-Pacific region is expected to witness the fastest growth in the AutoML market during 2020-2025.

From the rising sun of the Asia-Pacific region dawns a vibrant prediction, enhancing the narrative of our blog post about AutoML market size statistics. The anticipated surge in growth of the AutoML market in this region between 2020-2025 weaves a part of a dynamic global story. The spark for this expansion can illuminate key factors that investors, market strategists, and tech enthusiasts might find invigorating.

Through this statistic, we receive an inkling into future market trends, painting a vivid image of where substantial shifts are expected. Present in the backdrop of this growth will be the interplay of economic development, technological advancement, and increased adoption of machine learning. Thus, drawing attention to Asia-Pacific doesn’t just contribute to understanding of the current global AutoML marketplace but also whisks us forward into a future teeming with potential.

It festoons our blog post with a forward-looking perspective, nudging us to delve into what is steering this increase. Is it infrastructure, policies, or the booming technology savvy population? These queries create an intriguing subplot in our AutoML statistics narrative. In essence, this statistic is more than just a number, it invites readers to anticipate change, evaluate strategies, and envision a world where automation and machine learning stand in the driver’s seat of the future economy.

The retail and eCommerce industry vertical is expected to grow at the highest CAGR in the AutoML market during the forecast period.

Forecasted growth in the retail and eCommerce industry vertical signifies a pivotal trend in the AutoML market landscape. From the lens of a blog post on AutoML market size statistics, this projection indicates where the next big wave of demand is likely to originate – presenting a crucial opportunity for strategies and investments. It hints at the potential for technology providers to customize and optimize their AutoML solutions specifically for retail and eCommerce, thereby gaining a competitive edge in this rapidly expanding sphere. Moreover, it underlines the necessity for businesses in the retail and eCommerce domain to stay ahead of the curve by integrating AutoML into their operational framework – illuminating a sense of urgency and signifying the value of early adoption.


In closing, the surge in AutoML market size statistics is irrefutable evidence of the exponential growth and adoption of automated machine learning technologies in various industries. As companies continue to leverage this technology for enhanced decision-making, optimization of operations, and in breaking new grounds for innovation, the market value is projected to increase even further. The data clearly prophesies a future where AutoML is not just a peripheral tool, but a core project driver in business strategy. Thus, staying abreast of AutoML market trends and its contributory factors is not just recommended, but vital for businesses looking to stay ahead in this digital age.


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