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Human Machine Interface


Trends and developments in the human machine interface market


By Pankaj Raushan, principal analyst, MarketsandMarkets


H


uman machine interface (HMI), also commonly known as the man machine interface (MM), is an interface between users and machines. This technology helps operators and line supervisors to coordinate and control the manufacturing process in the plant. The interface comprises hardware and software that help operators convert complex process variables into actionable and usable information. It minimises human involvement in the manufacturing process, increasing the process productivity and safety of the operators. HMI software gathers and processes data from other integrated systems and presents it visually to operators in the display panel. It offers various advantages, such as error reduction, enhanced efficiency, and improved reliability, encouraging adoption among different end-user industries, such as oil & gas, automobile, aerospace, and chemicals. The human machine interface market was valued at USD 4.93 billion in 2022 and is expected to reach USD 7.73 billion by 2028, growing at a CAGR of 8.2% (1)


. Some


driving factors for this market include the surging adoption of industrial automation systems in manufacturing processes, the high emphasis on real-time data analysis and predictive maintenance, strategic initiatives by governments to promote the adoption of operational technologies, and the growing adoption of Industry 4.0. Companies operating in the human machine


34 November 2024


interface market employ several growth strategies, such as product launches and developments, contracts, collaborations, acquisitions, and expansions, to gain a competitive edge and expand their product portfolio and distribution networks. Some companies include Rockwell Automation (US), Schneider Electric (France), ABB (Switzerland), Siemens (Germany), and Mitsubishi Electric Corporation (Japan). The market has been segmented based on offering, configuration, end-user industry, and region.


Trends related to HMI technology The interaction between devices and systems is rapidly evolving, driven by a host of influential trends that span industries from consumer electronics to healthcare, automotive, and industrial automation. These trends reshape the landscape of human machine interactions, introducing


Components in Electronics


touchless interfaces, augmented reality experiences, and voice-activated control, among other features.


Integration of HMI with gesture and voice recognition technology: Gesture and voice recognition transform the way people interact with digital devices and systems. Gesture recognition, which enables users to control machines and applications through physical movements, and voice recognition, which allows for hands-free interaction through spoken commands, have witnessed significant advancements and are influencing various industries. These trends are fostering intuitive, touchless interfaces that enhance convenience, accessibility, and efficiency, leading to innovations in gaming, virtual reality, automotive systems, healthcare, and smart home technology. Integration of HMI with augmented reality (AR) and virtual reality (VR) technologies: Augmented reality (AR) and


virtual reality (VR) are profoundly impacting how users engage with digital and physical worlds. AR and VR technologies become increasingly immersive and accessible. AR/VR enables various features in HMI devices, including gesture recognition, eye tracking, and haptic feedback. This allows users to interact with virtual environments more naturally. AR enhances real-world environments with digital information, while VR immerses users in entirely virtual spaces. Integration of HMI with artificial intelligence (AI): Al enhances HMI through personalisation, predictive analytics, and adaptive interfaces. Machine learning algorithms make HMI smarter by learning user preferences and behaviour, resulting in more intuitive interactions. Al-driven HMI applications, powered by machine learning and natural language processing, become increasingly prevalent across various sectors, from smartphones to


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