The fourth industrial revolution, known as “Industry 4.0,” comprises robotic control, automation tools, and big data analytics. These enable effective production and maneuvering in any manufacturing industry. Global industry 4.0 market growth will be impressive in the future as industrial automation, AI, IoT, and government funding increase.
However, installing cutting-edge robotic and data analytics technology requires a substantial initial investment and a team of knowledgeable employees, the two main barriers to the market’s expansion.
“According to a new study analysis, the demand for the global Industry 4.0 Market is anticipated to expand from USD 70 billion in 2019 to USD 210 billion by 2026 at a compound annual growth rate (CAGR) of 17% from 2020 to 2026.”
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Industry 4.0 transforms how businesses produce, enhance, and distribute their goods. The Internet of Things (IoT), cloud computing, analytics, AI, and machine learning are among the cutting-edge technology that manufacturers are incorporating into their manufacturing processes.
AIoT – The Most Advanced and Transformative Technologies
Artificial intelligence (AI) and the internet of things (IoT) are the most cutting-edge and revolutionary technologies driving the expansion of numerous businesses.
“There will be more than 75 billion IoT devices on the market by 2025, which cloud infrastructures would be unable to support. The IoT network must eliminate the latency problems caused by constantly transmitting data to and from the cloud as devices multiply.” ~Statista
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Due to the urgent requirement for machine intelligence and hyper-automation, the seamless integration between AI software and IoT hardware will be the technologies that revolutionize the age of smart industries. The Artificial Intelligence of Things, or AIoT, is a term that has recently gained popularity.
Impacts of AIot on Industry 4.0
The convergence of AI and IoT will reformulate the future of industrial automation. This combined technology is set to lead the industry 4.0 revolution. Artificial intelligence of things will impact every industry, including aviation, automotive, finance, manufacturing, healthcare, and supply chain.
The field’s statistics are very noteworthy.
By 2022, it is expected that the IoT sector will generate up to $600 billion in income, and by 2030, the general population will own $15.9 billion worth of IoT devices.
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The reason for this growth is the enormous amount of operational data generated by connected IoT devices in industrial plants. However, artificial intelligence and machine learning made it possible to react to data processed in real-time.
AIoT Key Benefits in Industry 4.0
AI and IoT come together for industry 4.0 technology to work properly. Here we will look at some of the most common benefits of AIoT to industry 4.0.
Complete Autonomous Environment
The first step toward creating an autonomous environment is to create a completely independent one in which all devices can communicate without human interaction or intervention.
Predictive Maintenance
Predictive maintenance refers to using machine learning algorithms to predict when a machine will fail or break down before it does so. This allows you to plan for repairs and replacements before they become necessary, thus saving costs on maintenance efforts and downtime caused by broken equipment.
Increased Scalability
Microsensors, chipsets, and powerful computers are all examples of IoT devices. However, a typical IoT system uses battery-operated sensors, which contribute to the growth of enormous data quantities. Artificial intelligence recognizes, summarizes, and examines the substantial inflow of data before sending the pertinent data to other devices and archiving it on a cloud platform. This enables a more easy degree of large data management and the scaling up of an IoT ecosystem.
Common Applications of IoT and AI Blend in Industry 4.0
IoT is used in Industry 4.0. A term used to describe the fourth industrial revolution. This revolution embraces digitalization and connectivity to improve quality and productivity. It involves smart factories that use robotics, artificial intelligence (AI), autonomous vehicles, big data analytics, cloud computing, and blockchain technology.
Smart Thermostats
These devices can be installed at homes or offices to control temperature settings automatically based on occupancy patterns, energy usage, and other factors.
NMSC estimated the global market for smart thermostats to be worth US$2.6 billion in 2021. The market is anticipated to be worth 25.5 billion US dollars by 2030.
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Smart thermostats can also learn user preferences over time by analyzing data collected from sensors inside the home or office, such as motion or temperature sensors that communicate with the device via Wi-Fi or Bluetooth connections.
Self-Driving Cars
The self-driving car is probably one of the most well-known examples of how AI and IoT blend to create a better product or service. This technology has been around for a few years now.
According to Mckinsey’s forecast, approximately 66% of passenger kilometers could be traveled in 2040 by such vehicles.
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Industrial Internet for Manufacturing
Companies can use the Industrial Internet to improve the efficiency of their manufacturing processes by collecting real-time data from the field and analyzing it using analytics tools like machine learning algorithms or deep neural networks. This helps them optimize their supply chain process by reducing inventory levels and increasing throughput times.
Retail Shops
IoT can be used in a retail shop to track customers’ movement and buying habits. This helps provide personalized assistance to customers based on their shopping history and preferences. The sensors can also be used to monitor the temperature inside the store, so there is no need for human intervention.
Smart Grids
The IoT can be used in smart grids to monitor the power consumption of individual houses. This information is then sent to a central server which the utility company can access. Thus, they can provide customized tariffs according to the needs of different households. For example, if a household consumes more energy during peak hours, it can be charged more than if it consumes power during off-peak hours or when there is an excess supply in the grid.
Conclusion
IoT and AI technologies are being combined to create new goods and services. As other technologies like edge computing and blockchain increase, new applications are made possible by connecting them with IoT. The smart contract solution is one such use of the IoT and Blockchain combination. These technologies will soon erupt with new advantages that will make creating a connected, intelligent, and smart environment easier.
Transpire Technologies provides full advantage of new business opportunities brought about by technological change and provides full-spectrum digital transformation services to meet growing demands.
