Application Development refers to products and services that support the design, creation, deployment, and maintenance of software applications across web, mobile, desktop, and cloud environments. This category includes markets that support organizations to build scalable, secure, and user-centric applications while evolving through agile methodologies, automation, modern development practices, and continuous integration and delivery.
Gartner defines a data science and machine learning platform as an integrated set of code-based libraries and low-code tooling. These platforms support the independent use and collaboration among data scientists and their business and IT counterparts, with automation and AI assistance through all stages of the data science life cycle, including business understanding, data access and preparation, model creation and sharing of insights. They also support engineering workflows, including the creation of data, feature, deployment and testing pipelines. The platforms are provided via desktop client or browser with supporting compute instances or as a fully managed cloud offering.
The meter data management systems (MDMS) market is used by utility companies in the electricity, gas, water and thermal sectors to support metered commodity measurement at customer premises. This data is used for billing, customer service, consumption management (forecast and demand), operations (outages and losses) and finance. Other buyers of MDMS products include energy service companies for audits and efficiency projects; energy management providers for consumption reporting; outsourced or local energy providers for production planning and engineering; and commercial and industrial users for accounting and finance. Additionally, municipalities and government agencies use MDMS products for public works and regulatory compliance. MDMS are essential IT components of advanced meter infrastructures that facilitate the meter-to-cash process by collecting and managing consumption data for utility services such as electricity, water, gas and thermal energy. MDMS collect meter data; apply validation, estimation and error corrections; and store and process the data into billing determinants based on the customer’s product before sending it to a billing engine. MDMS can support various analytics use cases, including consumption profiles, trends, alerts, revenue protection and basic meter asset management. It can be delivered through on-premises or cloud-based solutions, enabling real-time data access and analytics that enhance operational efficiency and customer engagement.