As AI adoption grows, the amount of deployed machine learning (ML) models creates a number of challenges, such as rising costs, lack of automation, and absence of necessary expertise. That’s why managing, monitoring, and governing AI at scale is incredibly challenging if it’s done through a bespoke solution or process.
Machine learning operations (MLOps) vendors allow organizations to tackle these challenges by delivering scalable ML solutions with high levels of automation, collaboration capabilities, and diverse integration options.
IDC MarketScape: WW MLOps Platforms 2022 report provides an overview of some of the leading vendors in the MLOps space and delivers important guidance to the potential end users.
Source: “IDC MarketScape: Worldwide Machine Learning Operations Platforms 2022 Vendor Assessment”, By: Kathy Lange, Raghunandhan Kuppuswamy, and David Schubmehl , December 2022, IDC # US48325822.
IDC MarketScape vendor analysis model is designed to provide an overview of the competitive fitness of ICT suppliers in a given market. The research methodology utilizes a rigorous scoring methodology based on both qualitative and quantitative criteria that results in a single graphical illustration of each vendor’s position within a given market. The Capabilities score measures vendor product, go-to-market and business execution in the short-term. The Strategy score measures alignment of vendor strategies with customer requirements in a 3-5-year timeframe. Vendor market share is represented by the size of the circles. Vendor year-over-year growth rate relative to the given market is indicated by a plus, neutral or minus next to the vendor name.