Machine learning statistics
Machine learning (ML) is a subset of artificial intelligence (AI) that involves the development of algorithms able to process data sets containing millions of data points and learn to perform operational or analytical tasks without explicit instructions, gradually improving their accuracy through experience.
Machine learning market & adoption rate
Machine learning and AI adoption continues to accelerate worldwide, driven by the recent advancements in AI and rising enterprise demand for intelligent automation and cost reduction. Labor and skills shortages are further accelerating the technologies’ adoption, with approximately one in four companies implementing AI to address workforce constraints. In view of this, the global ML and AI markets are projected to grow sharply over the next decade, driven by rapid advances in areas such as autonomous agents, GenAI, natural language processing, computer vision, and explainable AI.
Machine learning for industry-agnostic business operations
Although machine learning and AI tools are now widely used, most organizations have yet to integrate them deeply into their workflows and processes to achieve meaningful enterprise-wide impact.
This gap between adoption and value creation is reflected in recent McKinsey research. While ML and AI adoption continues to gain momentum across individual business functions, this progress has not yet translated into enterprise-wide maturity. The share of respondents reporting regular use of AI in at least one function has increased from 78% to 88% year over year. Most organizations, however, are still experimenting with ML/AI or running pilot initiatives, and only about one-third report that they have begun scaling ML/AI programs across the organization.