Analytics and business intelligence (ABI) platforms prepare, model, analyze and visualize data to support decision making. They deliver insights through AI-powered conversational experiences, interactive dashboards and classic reporting. They support collaboration between business and technical users for defining the dimensions, measures and business rules used to create and maintain semantic models. The platforms provide functionality for agentic analytics, where AI agents coordinate tasks across the data-to-insight workflow to automate insight delivery under governance and audit controls. Analytics and business intelligence platforms integrate data from multiple sources, such as databases, spreadsheets, cloud services and external data feeds, to provide a unified view of data, breaking down silos and transforming raw data into meaningful insights. They also allow users to clean, transform and prepare data for analysis, in addition to creating data models that define relationships between different data entities.
Gartner defines enterprise low-code application platforms (LCAPs) as software platforms for the accelerated development and maintenance of applications, using model-driven development tools, generative AI and prebuilt component catalogs for the entire application’s technology stack. Enterprise LCAP features include support for the collaborative development of all application components; runtime environments for high performance, availability and scalability of applications; and application deployment and monitoring with detailed usage insights. Enterprise LCAP platforms feature governance controls and insights, self-service capabilities, APIs for integration with external DevOps tooling, success management with exhaustive technical documentation, training programs and a comprehensive global partner network. Enterprise LCAPs provide the foundation for developing a wide range of applications and application components with distributed data architectures, including complex multimodal front ends, business workflows, agentic AI and integration capabilities. The enterprise LCAP market is closely related to the citizen application development platform (CADP) market, as they both aim to address the use cases listed below. However, they are distinctively different in terms of the target audience and complexity of the applications built on the platform. provide the output in a JSON schema in which I want the response to be:
Mobile workforce management (MWM) products are industry-specific, commercial off-the-shelf (COTS) tools designed to optimize and manage field workforce activities and resources. Utility-focused MWM technology manages and enables field work requests from within MWM and other work-requesting systems, such as enterprise asset management (EAM), customer information systems (CIS), geospatial information systems (GIS) and advanced distribution management system (ADMS). Utility-focused MWM products are distinguished by their ability to handle utility-specific work requirements across the full asset life cycle of break/fix to scheduled, and asset-intensive work processes (including permit-to-construct, engineer-to-deploy and mutual-assistance). This is especially true for production systems (supply, treatment, delivery) and delivery networks within electric, gas and water utilities. MWM products must demonstrate that they are stand-alone (marketed, sold and installed separately from other enterprise systems offered by the vendor) and must integrate with utility-specific systems. For example, the MWM vendors should integrate with multiple ADMS, GIS and EAM products.