Cognizant: Digital Transformation capabilities assessment

Internet of Things
Artificial Intelligence
Hyperconnectivity
Human Machine Interface
Data Sharing
Autonomous Robotic Systems
Distributed Ledger
Edge Computing
Product Lifecycle Management
Robotic Process Automation
5G
Autonomous Vehicles
Connected Vehicles
Generative AI
Intelligent Automation

Suruchi Dhingra

The report examines the capabilities of Cognizant in Digital Transformation. It provides a comprehensive review of the products, services, and capabilities of Cognizant across 11 technology areas and dozens of functions, to determine its core strengths for meeting enterprise needs. The 11 technology families in which the vendors capabilities are assessed are IoT, Hyperconnectivity, Human Machine Interface, Artificial Intelligence, Distributed Ledger, Data Sharing, Product Lifecycle Management, Robotic Process Automation, Edge Computing, Autonomous Robotic Systems, and 3D Printing & Additive Manufacturing. While these might not encompass every possible technology that organisations might need in order to purse a Digital Transformation, they certainly represent the most disruptive, and therefore the ones of which enterprises should be most aware. The report includes rating across each of the technology areas and functional capabilities (specialised hardware, general hardware, software products, integrated solutions, application development, systems integration and project management, specialist services, field & operational services) using Transforma Insight’s four-level universal rating system for vendors in Digital Transformation. Internet of Things, for instance, spans hardware, software, application development, implementation, field services and specialist services. For each of the 92 combinations of function and technology, Cognizant is rated for whether its capabilities are ‘Emerging’, ‘Significant’ or ‘Market Leading’ (or ‘None’). This rating is based on both the credibility of the solution and the position of the offering in the market (e.g. market share).

This report examines the capabilities of Cognizant in Digital Transformation. It provides a comprehensive review of the products, services, and capabilities of Cognizant across 11 technology areas and dozens of functions, to determine its core strengths for meeting enterprise needs. The 11 technology families in which the vendors capabilities are assessed are IoT, Hyperconnectivity, Human Machine Interface, Artificial Intelligence, Distributed Ledger, Data Sharing, Product Lifecycle Management, Robotic Process Automation, Edge Computing, Autonomous Robotic Systems, and 3D Printing & Additive Manufacturing. While these might not encompass every possible technology that organisations might need in order to purse a Digital Transformation, they certainly represent the most disruptive, and therefore the ones of which enterprises should be most aware.

The report includes rating across each of the technology areas and functional capabilities (specialised hardware, general hardware, software products, integrated solutions, application development, systems integration and project management, specialist services, field & operational services) using Transforma Insight’s four-level universal rating system for vendors in Digital Transformation. Internet of Things, for instance, spans hardware, software, application development, implementation, field services and specialist services. For each of the 92 combinations of function and technology, Cognizant is rated for whether its capabilities are ‘Emerging’, ‘Significant’ or ‘Market Leading’ (or ‘None’). This rating is based on both the credibility of the solution and the position of the offering in the market (e.g. market share).

Cognizant has secured a rating of 20% in Digital Transformation capabilities compared to that theoretical maximum (a theoretical organisation that is ‘Market Leading’ in every aspect of providing Digital Transformation across all technologies). Cognizant has highest capabilities in Robotic Process Automation, Artificial Intelligence, Edge Computing, and Autonomous Robotic Systems.

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