Artificial Intelligence (AI) refers to products and services that enable machines to perform tasks typically requiring human intelligence—such as learning, reasoning, problem-solving, perception, and language understanding. This category includes markets that focus on helping organizations build, deploy, and scale intelligent systems, utilizing AI across multiple industries through technologies like machine learning, natural language processing, computer vision, and generative AI.
Customer data platforms (CDPs) are software applications that support customer experience use cases by unifying a company’s customer data from marketing, sales, service, commerce and other sources. CDPs unify customer data to facilitate its output to coordinate profiles between cross-functional systems, create segments and/or audience targets, optimize offers and/or decisions, and inform analysis while distributing insights that create triggers for other experiences.
Marketing refers to the products and services that enable organizations to plan, execute, measure, and optimize strategies for attracting, engaging, and retaining customers across digital and physical channels. This category includes markets that support content creation, campaign management, data-driven personalization, performance analytics and brand strategy—empowering businesses to deliver targeted, measurable, and customer-centric marketing experiences.
Gartner defines multichannel marketing hubs (MMHs) as software applications, primarily delivered as SaaS, that orchestrate personalized campaigns and event-driven customer journeys across marketing channels. These applications leverage customer data, predictive models and real-time insights to optimize the timing, channel and content of interactions. MMHs apply advanced analytics, AI and prescriptive intelligence to help marketing and technical teams manage the end-to-end life cycle of customer journeys. Although MMHs overlap with customer data platforms (CDPs) and personalization engines, their primary focus is enabling marketing users to manage large-scale consumer interactions, particularly in owned media channels such as email and app push. Multichannel marketing hubs empower marketers to deliver personalized media and orchestrate customer journeys, thus driving revenue, engagement and loyalty. These SaaS applications unify customer data, predictive insights and real-time decision making to optimize interactions across digital channels. MMHs enable multidisciplinary teams to manage campaigns and event-driven journeys via advanced analytics, artificial intelligence/machine learning (AI/ML) and prescriptive intelligence.