Market Research Report
Connected Device Market for Consumer, Enterprise, and Industrial IoT Devices by Use Case, Device Type, Application, Region, and Country 2020 - 2025
|Published by||Mind Commerce||Product code||928646|
|Published||Content info||114 Pages
Delivery time: 1-2 business days
|Connected Device Market for Consumer, Enterprise, and Industrial IoT Devices by Use Case, Device Type, Application, Region, and Country 2020 - 2025|
|Published: March 16, 2020||Content info: 114 Pages||
This report assesses the connected device market segment including consumer, enterprise, and industrial devices with associated connected device market sizing from 2020 to 2025. It evaluates applications and solutions in each market segment for major industry verticals including agriculture, advertising and media, automobiles, energy management, healthcare, manufacturing, oil & gas, public safety, and telecommunications.
The number, type, and purpose of connected devices is rapidly expanding as the Internet of Things (IoT) evolves beyond the current state of limited applications, many of which remain isolated and purpose-built for a given use case, industry verticals, and companies. Over the course of the next four to six years, many IoT applications will become increasingly interconnected.
Some of these applications will be enhanced through communication with a smart device, which is a connected device that benefits embedded intelligence. In contrast, an IoT Device need not be smart, and in fact, many are relatively unintelligent devices that are typically single-purpose and rely upon intelligence to be provided elsewhere for data processing, analytics, analysis, and dispersal of actionable information, typically via a cloud services model.
It is important to note that cloud services may be either centralized or distributed via Multi-access Edge Computing (MEC) infrastructure. MEC will also facilitate an entirely new class of low-power devices that rely upon MEC equipment for processing. Stated differently, some IoT devices will be very light-weight computationally speaking, relying upon edge computing nodes for most of their computation needs. However, AIoT is a dominant trend that Mind Commerce sees supporting connected devices via both distributed and centralized AI support for devices.
As AIoT causes networks and systems to become increasingly more cognitive in nature, connected devices that previously acted in a purely deterministic manner will leverage AI for decision-making, which may occur locally via edge computing and/or centrally via core cloud computing. As part of this evolution, devices will also increasingly engage in peer-to-peer communications including signaling and data exchange. This will create both an opportunity and a challenge connected device management as they will need to rely upon the AI-based cybersecurity solutions involving trust management.