Machine Learning: Global Markets to 2031
Machine Learning: Global Markets to 2031
Report Includes
- An overview of the global machine learning market, with market values for 2025, estimates for 2026 and forecasts through 2031
- Market breakdowns by component, covering hardware, software and services, and by deployment, including cloud and on-premises
- Analysis by organization size, covering large enterprises and small and medium-sized enterprises (SMEs)
- Assessment of end-user industries, including BFSI, healthcare, IT and telecommunications, retail and e-commerce, government and manufacturing
- Regional and country-level analysis across North America, Europe, Asia-Pacific and the rest of the world, including South America and the Middle East and Africa
- Discussion of market drivers, restraints and opportunities, alongside macroeconomic factors, value chain analysis, regulations and standards, and Porter’s Five Forces analysis
- Coverage of emerging trends, including open-source model adoption, MLOps platform consolidation and synthetic data for model training
- Insights into federated ML, edge ML and TinyML, and tabular foundation models, together with patent analysis and case studies
- Competitive landscape analysis, including market shares or rankings, product launches, acquisitions, investments and profiles of leading companies