Market Research Report
Smart Machines in Enterprise, Industrial Automation, and IIoT by Technology, Product, Solution, and Industry Verticals 2021 - 2026
|Published by||Mind Commerce||Product code||987592|
|Published||Content info||82 Pages
Delivery time: 1-2 business days
|Smart Machines in Enterprise, Industrial Automation, and IIoT by Technology, Product, Solution, and Industry Verticals 2021 - 2026|
|Published: February 8, 2021||Content info: 82 Pages||
This report evaluates the smart machine market ecosystem including technology building blocks, leading company strategies, products and services. The report evaluates various smart machine solutions, products, and services including autonomous robots, expert systems, intelligent assistants, neurocomputers, and wearable devices.
This report also evaluates the hardware, embedded software, and related services for smart machines. The report also assesses the market for smart machines in many industry verticals including aerospace and defense, automotive, banking, consumer electronics, healthcare, industrial automation, cybersecurity, transportation and logistics with forecasts from 2021 through 2026.
Smart machines collectively represent intelligent devices, machinery, equipment, and embedded automation software that perform repetitive tasks and solve complex problems autonomously. Along with AI, IoT connectivity, and M2M communications, smart machines are a key component of smart systems, which include many emerging technologies such as smart dust, neurocomputing, and advanced robotics. Mind Commerce sees smart machines benefitting significantly from advancements in the convergence of AI and IoT, also known as the artificial intelligence of things (AIoT).
The drivers for enterprise and industrial adoption of smart machines include improvements in the smart workplace, smart data discovery, cognitive automation, and more. Currently conceived smart machine products include autonomous robots (such as service robots), self-driving vehicles, expert systems (such as medical decision support systems), medical robots, intelligent assistants (such as automated online assistants), virtual private assistants (Siri, Google Assistant, Amazon Alexa, etc.), embedded software systems (such as machine monitoring and control systems), neurocomputers (such as purpose-built intelligent machines), and smart wearable devices.