Human Machine Interface Market

The global Human Machine Interface Market size is estimated to be USD 4.9 billion in 2022 and is projected to reach USD 7.3 billion by 2027, at a CAGR of 8.1%.

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Increasing adoption of industrial automation in the manufacturing process and increasing emphasis on real-time data analysis are the major factors driving the growth of the HMI market.

#HumanMachineInterface #HMI #CloudBasedHMI

SCADA Market

The global SCADA market size is foreseen to grow from USD 9.8 billion in 2022 to USD 14.2 billion by 2027, at a CAGR of 7.8% from 2022 to 2027.

More Info: https://www.marketsandmarkets.com/Market-Reports/scada-market-19487518.html

Substantial demand for industrial mobility solutions to efficiently manage process industries and growing smart city are some of the major factors driving the growth of SCADA market.

#SCADA #ProgrammableLogicController #PLC #RemoteTerminalUnit #HumanMachineInterface #HMI

Human Machine Interface Market

The global Human Machine Interface Market size is estimated to be USD 4.9 billion in 2022 and is projected to reach USD 7.3 billion by 2027, at a CAGR of 8.1%.

More Info:- https://www.marketsandmarkets.com/Market-Reports/human-machine-interface-technology-market-461.html
#HumanMachineInterface #Hardware #HMI #AdvancedPCBased #PanelBasedHMI

Human Machine Interface Market

The global HMI market size is estimated to be USD 4.9 billion in 2022 and is projected to reach USD 7.3 billion by 2027, at a CAGR of 8.1%.

More Info : https://www.marketsandmarkets.com/Market-Reports/human-machine-interface-technology-market-461.html

Increasing number of government initiatives to promote the adoption of operational technologies and rapidly growing of industrial automation in the manufacturing processes are major factors driving the growth of the HMI market.

#HumanMachineInterface #HMI #MarketStudy #AdvancedPCB #PCB

Automation doesn't necessarily reduce human workload

In the 2nd Gulf War the patriot missile system mis-classified and engaged a GR-4 Tornado. It was judged that the operators had not been informed about problems with the system and had not been trained to conduct the 'high level judgements' needed to manage it. 'Blind faith' led to the weapon being trusted without question.

#automation #ai #machinelearning #humanmachineinterface