Artificial Intelligence & IT

Date of Publication: Apr 3, 2019
The report provides detailed analysis and forecasts for AI in SCM by solution (Platforms, Software, and AI as a Service), solution components (Hardware, Software, Services), management function (Automation, Planning and Logistics, Inventory Management, Fleet Management, Freight Brokerage, Risk Management and Dispute Resolution), AI technologies (Cognitive Computing, Computer Vision, Context-aware Computing, Natural Language Processing, and Machine Learning), and industry verticals (Aerospace, Automotive, Consumer Goods, Healthcare, Manufacturing, and others).

Date of Publication: May 24, 2018
This research evaluates the global and regional robotics marketplace including the technologies, companies, and solutions for robots in the Industrial, Enterprise, Military, and Consumer segments. The report includes detailed forecasts for robotics by robot type, components, capabilities, solutions, and connectivity for 2018 to 2023. This report also includes quantitative analysis with forecasts covering AI technology and systems by type, use case, application, and industry vertical. Forecast also cover each major market sector including consumer, enterprise, industrial, and government.

Date of Publication: Sep 26, 2018
This research provides a multi-dimensional view into the AI market including analysis of embedded devices and components, embedded software, and AI platforms. This includes an assessment of the combined AI marketplace with analysis of embedded IoT and non-IoT devices, embedded components (including AI chipsets), embedded software and AI platforms, and related services. It also evaluates leading solution providers including hardware, software, integrated platforms, and services. It also evaluates the market for AI in IoT networks and systems.

Date of Publication: Feb 7, 2017
Artificial Intelligence (AI) is undergoing a transformation from silo implementations to a utility function across many industry verticals as a form of Artificial General Intelligence (AGI) capability. This capability is becoming embedded and/or associated with many applications, services, products, and solutions. This research sees AI innovation in a variety of areas including personalized AI to both support and protect end-users.

Date of Publication: Oct 18, 2016
Mobile Edge Computing (MEC) enables the edge of the network to run in an isolated environment from the rest of the network and creates access to local resources and data. It is the part of edge computing and is highly applicable to many scenarios including M2M, network security, Big Data Analytics, and many business-specific applications. MEC brings virtualized applications much closer to mobile users ensuring network flexibility, economy and scalability for improved user experience.