Machine Learning Market Size To Reach $419.94 Billion By 2030

May 2025 | Report Format: Electronic (PDF)

Machine Learning Market Growth & Trends

The global machine learning market size is anticipated to reach USD 419.94 billion by 2030, registering a CAGR of 33.2% from 2025 to 2030, according to a new report by Grand View Research, Inc. The market is experiencing continuous growth, driven by the increasing demand for AI-driven solutions across industries. It is expected to expand further as more organizations recognize the potential of machine learning and invest in its applications. The growing deployment of Edge AI is responsible for market growth. Edge AI reduces the reliance on cloud computing and provides faster response times, improved privacy, and bandwidth efficiency.

Numerous companies are using machine learning (ML) in various industries to boost productivity, streamline processes, and facilitate decision-making. ML is used for personalized product recommendations, demand forecasting, fraud detection, inventory management, and pricing optimization. For instance, Netflix, Inc., a U.S.-based media-streaming and video-rental company, uses machine learning to enhance the customer experience. The company has long been using machine learning algorithms to personalize its viewer recommendations. E-commerce firms like Amazon.com, Inc, a U.S.-based multinational technology company, also uses ML for recommendation to boost sales.

Developments such as fine-tuned personalization, hyper-targeting, search engine optimization (SEO), no-code environments, self-learning bots, and others are expected to impact the machine-learning landscape significantly. These developments are responsible for the continuous evolution of machine learning applications, driven by the demand for personalized experiences, improved website rankings, efficient marketing strategies, accessibility, and intelligent automation.

For instance, Google LLC has significantly advanced machine learning, specifically in computer vision. Google's research division, Google Research, has developed and deployed machine learning models such as the Inception series and the EfficientDet object detection model. These models have significantly enhanced the accuracy and performance of computer vision tasks, including image classification, object detection, and image segmentation.

Many industries in North America have adopted machine learning to gain insights from massive data and improve business operations. Machine learning is used in various sectors such as finance, healthcare, retail, manufacturing, and technology to perform tasks such as fraud detection, personalized marketing, predictive maintenance, and automated customer service. The growing adoption of cloud-based machine learning services in North America propels the market’s growth. The rise of cloud computing platforms, such as Amazon Web Services, Microsoft Azure, and Google Cloud, has made it easier for businesses to access and deploy machine learning tools and infrastructure.

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Machine Learning Market Report Highlights

The services segment accounted for the highest revenue share of 54.1% in 2024. The adoption of machine learning is driven by its increasing accessibility, the pressure to lower operational costs, and the push to automate core business functions.
The large enterprises segment accounted for the largest market revenue share in 2024. Based on enterprise size, the market is categorized into small and medium enterprises (SMEs) and large enterprises.
The advertising & media segment accounted for the largest market revenue share in 2024. Hyper-personalization is one of the key trends in which machine learning algorithms analyze enormous volumes of user data to produce highly personalized and pertinent adverts that boost engagement and conversion rates.
North America dominated the market and accounted for a 26.7% share in 2024. With machine learning's increasing impact on society, there is a growing emphasis on ethical AI and responsible AI practices in North America.