An ADMS is the decision support environment that provides a shared network model (a digital twin of an electric distribution network) and a common user experience for all roles that are needed to monitor, control and orchestrate assets across the grid while optimizing and securing operations of the grid. The ADMS assists electricity distribution system operators to proactively and safely guide outage restoration activities, manage and optimize networks for improved asset utilization, and effectively manage the integration and impact of distributed energy resources (DERs). ADMS functions include: Distribution state estimation (DSE) Fault location, isolation and restoration (FLISR) Volt/volt-ampere reactive optimization (VVO) Outage management Conservation through voltage reduction (CVR) Peak-demand management Integration of distributed energy resources
The application development life cycle management (ADLM) tool market focuses on the planning and governance activities of the software development life cycle (SDLC). ADLM products focus on the "development" portion of an application's life. Key elements of an ADLM solution include: software requirements definition and management, software change and configuration management, software project planning, with a current focus on agile planning, work item management, quality management, including defect management. Other key capabilities include: reporting, workflow, integration to version management, support for wikis and collaboration, strong facilities for integration to other ADLM tools.
Computer-Aided Design software is used by designers, engineers, architects, and drafters across several industries to create two-dimensional and three-dimensional models. These 2D and 3D models can be used to explore design ideas, visualize concepts and simulate the physical behavior of a design in the real world. The software provides in-built templates such as flowcharts, mind maps, wireframes, network diagrams, and org charts to create quality as well as detailed design models. The software also allows for instant changes to models enabling collaborative work between team members.
Data center infrastructure management (DCIM) tools monitor, measure, manage and/or control data center resources and energy consumption of both IT-related equipment (such as servers, storage and network switches) and facilities infrastructure components (such as power distribution units and computer room air conditioners). They are data-center-specific (they are designed for data center use), rather than general building management system tools, and are used to optimize data center power, cooling and physical space. Solutions do not have to be sensor-based, but they do have to be designed to accommodate real-time power and temperature/environmental monitoring. They must also support resource management, which Gartner defines as going beyond typical IT asset management to include the location and interrelationships between assets.
Gartner defines enterprise agile planning (EAP) tools as products that enable organizations to scale their agile practices to support a holistic enterprise view. EAP tools are an evolution of project-/team-centric tools to support a business-outcome-driven approach to managing agile product delivery at scale. This evolution is highlighted by the fact that several of these tools also offer project portfolio management (PPM) and strategic portfolio management (SPM) capabilities. EAP tools in this market combine data from multiple sources to enable: - Monthly, weekly and even daily incremental value delivery based on business outcomes - Support for enterprise agile frameworks like Scaled Agile Framework (SAFe) - Product roadmapping - Management of strategy, investments and objectives - Increased visibility into the flow of work - Management of work backlogs - Collaboration capabilities for individuals and teams - Management of cross-team dependencies - Release planning and forecasting - Visibility into the financial aspects of the work being done
Gartner defines the market for industrial Internet of Things (IIoT) platforms as a set of integrated software capabilities. These capabilities span efforts to improve asset management decision making, as well as operational visibility and control for plants, depots, infrastructure and equipment within asset-intensive industries. These efforts also occur within related operating environments of those industries. The IIoT platform may be consumed as a technology suite or as an open and general-purpose application platform, or both in combination. The platform is engineered to support the requirements of safety, security and mission criticality associated with industrial assets and their operating environments. The IIoT platform software that resides on devices — such as, controllers, routers, access points, gateways and edge computing systems — is considered part of a distributed IIoT platform.
Integration means making independently designed applications and data work well together. IoT integration means making the mix of new IoT devices, IoT data, IoT platforms and IoT applications — combined with IT assets (business applications, legacy data, mobile, and SaaS) — work well together in the context of implementing end-to-end IoT business solutions. The IoT integration market is defined as the set of IoT integration capabilities that IoT project implementers need to successfully integrate end-to-end IoT business solutions.
Manufacturing process management (MPM) and model-based manufacturing (MbM) bridge the gap between the virtual design realm and the physical product/process manufacturing realm as part of an organized software architecture. These technologies are not only applied within the four walls of a plant or a corporation's multiple manufacturing sites. They can be applied holistically, with workflow to manage multiple recipe variants and labeling change/requirements, and/or handle certificates of compliance (CoCs) and certificates of analysis (CoAs) from suppliers.
Gartner defines manufacturing execution systems (MES) as a specialist class of production-oriented software that manages, monitors and synchronizes the execution of real-time physical processes involved in transforming raw materials into intermediate and/or finished goods. These systems coordinate this execution of work orders with production scheduling and enterprise-level systems like ERP and product life cycle management (PLM). MES applications also provide feedback on process performance, and support component and material-level traceability, genealogy and integration with process history, where required. These capabilities extend the product/process design release (PLM) and work order/batch order release (ERP) through completion of the manufacturing process for both process and discrete industries. Gartner’s view of the MES market does not include production automation or operational technology (OT) software, such as supervisory control and data acquisition (SCADA), distributed control systems (DCSs) or programmable logic controllers (PLCs).
MDM products are IT components of the advanced metering infrastructure (AMI) responsible for cleansing, calculating and providing data persistence of commodity consumption data. MDM is also responsible for disseminating metered consumption data for internal as well as external use. Aggregated meter data can be used to support billing, as well as analytics use cases such as load profiling, forecasting, asset loading and consumption tracking to detect tampering, theft or leakage. In addition to supporting internal utility needs for metered consumption data, MDM supports sharing consumption data with customers, partners, market operators and regulators. In most markets, data sharing is obtained by using standardized data exchange formats such as Green Button Connect My Data (CMD).
Multienterprise supply chain business networks support a community of trading partners that need to work and communicate/collaborate on business processes that extend across multiple enterprises, with an end-to-end / shared focus. Such networks are owned and managed by third-party software vendors, and provide their community of buyers, sellers and partners with multienterprise functionality, services and security. It is the shift from enterprise centric mindset to a real multienterprise in support of the DDVN outside-in approach.
The market for PLM software includes vendors that: Provide product data management (PDM) software to capture, cultivate and manage technical product-related content. That content defines the products, their designs and allowable product configurations. It includes technical descriptions of the parts, materials and allowable product configurations expressed as 3D models, drawings and other related content. All PLM vendors deliver PDM functionality. PLM vendors support complementary applications enabling the PLM discipline to various degrees. Gartner considers a vendor a PLM provider if it supports at least three complementary software categories that enable the PLM discipline. Those additional software categories help manufacturers create, deliver, maintain, service and discontinue products.
Gartner defines the market for quality management system software as “the business information management system that manages quality policies and standard operating procedures (SOPs). This may include, but is not limited to, customer requirements, quality documents, ISO requirements, manufacturing capabilities, robust design, auditing procedures and protocols, nonconformance/risk management activities, testing criteria, and industry-specific regulations (for example, U.S. Food and Drug Administration [FDA] or Federal Acquisition Regulation [FAR] requirements)".
Supervisory control and data acquisition (SCADA) software is essential for industrial organizations to control the processes, monitor real-time data, and communicate system issues. The software communicates with devices such as programmable logic controllers (PLCs) to interact with industrial equipment and processes. SCADA software can be run virtually, which allows the operator to supervise the industrial processes even from a distant location. The software provides real-time data insights through Human Machine Interface (HMI) to maximize efficiency, reduce overhead costs, and streamline operations. The software also warns the operator of any hazardous conditions such as blocked processes and failing systems.
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