PUBLISHER: Knowledge Sourcing Intelligence | PRODUCT CODE: 1457006
PUBLISHER: Knowledge Sourcing Intelligence | PRODUCT CODE: 1457006
The IIOT platform market is evaluated at US$8.794 billion for the year 2022 growing at a CAGR of 13.79% reaching the market size of US$21.729 billion by the year 2029.
Among the elements of the Internet of Things is the Industrial Internet of Things (IIoT). Sensors and instruments are interconnected on the network, and they are incorporated into the computer network for applications. In addition, cloud computing techniques are being used to develop high-trending applications. In this approach, large amounts of data are collected and then sent to a cloud-based service where they are combined with other data and made available to end-users. As part of the IIoT platform industry's growth, factors include technological advancements in semiconductors and electronics, increased use of cloud computing platforms, standardization of IPv6, and government support for research and development related to the IIoT platform.
In recent years, technological advancements in the developing world combined with the emergence of big data analytics have fuelled the growth of the industrial Internet of Things platform market. Furthermore, the development of industry-specific platforms in developed regions, as well as an increase in demand from the healthcare industry, is likely to fuel the growth of the IIoT platform market.
The manufacturing sector has been advancing rapidly in its use of AI and IoT. Through integrating AI and IoT, manufacturing processes can be optimized, early warnings can be sent, quality control can be improved, and equipment failure can be predicted. Manufacturers can differentiate themselves from their competitors by collecting precise data and developing innovative AI applications. Manufacturing processes had to be improvised due to movement restrictions, lockdowns, and a lack of a workforce. A result of this was an increase in IoT and AI usage in manufacturing. In the absence of a regular workforce, artificial intelligence (AI) and machine learning algorithms were used by manufacturing units to track machine conditions and maintain equipment.
The automotive industry is anticipated to undergo a rapid revolution with the advent of autonomous or self-driven trucks and passenger cars. Approximately 1.3 million people die every year as a result of traffic accidents, primarily caused by truck accidents on the highways. Internet of Things (IoT) platforms will be used to develop automated and semi-autonomous trucks and other vehicles that will be able to communicate with each other via data collection and cloud storage. According to a new report from the United Nations Economic Commission for Europe (UNESE), self-driving vehicles can enhance comfort, safety, and efficiency while reducing environmental impacts. This resulted in the creation of a market for autonomous trucks and other vehicles on an IIoT platform.
Intelligent manufacturing systems are intertwined with IoT technologies. As a result of interconnected devices across a manufacturing facility, security holes are created throughout the facility, posing a threat to its operation. As a result, it is impossible to know where the data originates or where it ends from a security perspective. As such, the visibility of data on a factory floor is the greatest cybersecurity challenge in smart manufacturing. An attack involving DoppelPaymer ransomware, for instance, took place at a manufacturing facility owned by Visser Precision, which manufactures space and defense equipment. Upon exploiting vulnerabilities in the system, the hackers leaked sensitive documents and non-disclosure agreements.
North America is anticipated to be the major regional market.
The Industrial Internet of Things (IIoT) market in North America is driven by the broad implementation of Industry 4.0 principles across diverse industries. IIoT platforms are essential for facilitating the integration of smart devices, sensors, and machines as companies aim for greater automation, connection, and data-driven decision-making. One of the main drivers has been the need for real-time data analytics and insights to maximize operational effectiveness, decrease downtime, and boost overall production. The adoption of IIoT platforms in North America is further accelerated by the growing emphasis on supply chain optimization, asset tracking, and predictive maintenance.