PUBLISHER: Mind Commerce | PRODUCT CODE: 1102233
PUBLISHER: Mind Commerce | PRODUCT CODE: 1102233
The research analyzes 5G evolution and the impact of anticipated 6G technologies on the ICT ecosystem including infrastructure, business planning, and innovation areas necessary to realize future capabilities and solutions beyond 5G. It also evaluates the technologies, leading companies and solutions for artificial intelligence in IoT. It provides quantitative analysis including market sizing and forecasts for AIoT infrastructure, services, and specific solutions.
The research also assesses the cloud robotics market including technologies, companies, strategies, use cases, and solutions. It also evaluates digital twinning technology, solutions, use cases, and leading company efforts in terms of R&D and early deployments. The report assesses the digital twin product and service ecosystem including application development and operations. This includes consideration of use cases by industry vertical.
It also analyzes the emerging role of teleoperation and telerobotics in the era of Industry 4.0. The report analyzes the impact of teleoperation and telerobotics solutions in different industry verticals and technology sectors. Key industry verticals evaluated include education, medical, manufacturing, mining, nuclear/hazardous waste management, and transportation.
Just as 5G took shape after several years of R&D focused on "beyond 4G" (B4G) technologies, the ICT industry is in a similar situation with sixth-generation (6G) wireless as leading organizations begin to focus on B5G market opportunities. While it is no secret that AI is rapidly becoming integrated into many aspects of ICT, many do not understand the full extent of how it will transform communications, applications, content, and commerce. For example, the use of AI for decision-making in IoT and data analytics will be crucial for efficient and effective smart city solutions in terms of decision-making.
The convergence of AI and Internet of Things (IoT) technologies and solutions (AIoT) is leading to "thinking" networks and systems that are becoming increasingly more capable of solving a wide range of problems across a diverse number of industry verticals. AI adds value to IoT through machine learning and improved decision-making. IoT adds value to AI through connectivity, signaling, and data exchange.
Cloud robotics is distinguished from the general field of electromechanical automation through its use of teleoperation as well as reliance upon various cloud computing technologies such as computing and storage as well as the emerging cloud-based business models enabling robotics-as-a-service. In addition, cloud robotics will benefit greatly from edge computing technologies, such as Mobile Edge Computing (MEC), as well as the commercial introduction of 5G New Radio (5GNR) technologies based on millimeter-wave (mmWave) frequencies.
The digital twin of a physical asset can provide data about its status such as its physical state and disposition. Conversely, a digital object may be used to manipulate and control a real-world asset by way of teleoperation. The publisher of this report sees this form of cyber-physical connectivity, signaling, and control as a key capability to realize the vision for Industry 4.0 to fully digitize production, servitization, and the `as a service` model for products.
Teleoperation and telerobotics are both supported by ICT infrastructure including broadband communications, sensors, machine to machine (M2M) communications, and various IoT technologies. The combination of teleoperations, M2M/IoT, and 5G communications will enable entirely new use cases for robotics, supported by cloud-based robotics as a service business models.
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