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(Source: Newark)<\/p>\n
Engineers are increasingly deploying artificial intelligence (AI) to improve their products and increase the return on investment in their systems, according to Newark's fourth annual Global IoT Survey (Avnet). A survey of 2,263 engineers and others involved in development of IoT solutions, also found that companies are establishing partnerships to drive the development of new IoT solutions.<\/p>\n
The survey shows a significant increase in the use of AI over the past period. year. The number of respondents using AI increased to 56% from 39% in the previous year's survey, with 26% expected to consider using AI in the future. The most popular use of artificial intelligence is preventive maintenance (16%), followed by robotics (12%), image classification (11%) and business intelligence (10%).<\/p>\n
Engineers are also finding more uses for AI in their IoT projects. The number of respondents who thought AI was not useful decreased from 32% in 2021 to 13% in 2022. Only 3%s said they did not understand AI compared to 13%s last year.<\/p>\n
Here are some key takeaways that can be useful for both IoT developers and system integrators.<\/p>\n
The survey shows that companies are discovering new and varied ways to implement IoT in various industry sectors. Although 30% survey respondents cited productivity and production improvement as the primary value of IoT, a variety of IoT applications are being used, including business intelligence and others. data analytics (18%), customer service (17%), operations (15%) and mobile applications (11%).<\/p>\n
In five years, the survey participants believe that Industry 4.0 (18%), followed by energy management (16%), home automation (15%), AI (14%) and automotive\/transportation (11%) will be the top IoT industries. Compared to the previous year's survey, the level of energy management has made some progress, increasing from 10%.<\/p>\n
Sensors play an important role in IoT development and are used in a wide range of applications. The most popular application to date is the environmental sensor (34%), followed by motion sensors (15%), optical\/image sensors (15%), location sensors (10%), health monitoring (8%) and sound detection\/recognition (5%). . However, 13% respondents reported that they do not use sensor technology in their IoT projects.<\/p>\n
When asked about their key concerns about IoT adoption, they are most concerned about security (37%), followed by connectivity (29%), interoperability (22%) and ecosystem (10%).<\/p>\n
In terms of hardware platforms, survey respondents mostly use single-board computers or SBCs (50%). This is followed by custom hardware (31%) and manufacturer development boards (19%). Their most preferred SBC is the Raspberry Pi (46%), followed by the Arduino (26%). As for development platform vendors, STMicroelectronics (28%) and Microchip (23%) topped the list. Other vendors named include NXP, Avnet, Infineon, Xilinx and Renesas.<\/p>\n
Preferred development platform (Source: Newark)<\/p>\n
The survey also shows that there is a growing trend toward partner collaboration, which is critical for most companies developing IoT solutions, Newark said. The results show that 34% companies never take the lead role in development and sometimes take the lead role, indicating strong relationships between the organizations, the company said.<\/p>\n
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