{"id":21974,"date":"2022-06-08T10:00:00","date_gmt":"2022-06-08T09:00:00","guid":{"rendered":"https:\/\/www.engineernewsnetwork.com\/blog\/?p=21974"},"modified":"2022-06-08T10:01:11","modified_gmt":"2022-06-08T09:01:11","slug":"obstacles-to-artificial-intelligence-of-things-aiot-market-growth-fall-for-third-consecutive-year","status":"publish","type":"post","link":"https:\/\/www.engineernewsnetwork.com\/blog\/obstacles-to-artificial-intelligence-of-things-aiot-market-growth-fall-for-third-consecutive-year\/","title":{"rendered":"Obstacles to artificial intelligence of things (AIoT) market growth fall for third consecutive year"},"content":{"rendered":"\n

Number of engineers citing cost and power as barriers to adopting AIoT-capable hardware halved since 2021; almost three quarters are actively developing products with higher on-device processing capabilities<\/strong><\/p>\n\n\n\n

The number of engineers that see cost or power as an obstacle to increasing onboard processing in their designs has halved from 2021 levels, according to new research from semiconductor specialists XMOS<\/a><\/strong>.<\/p>\n\n\n\n

The research also shows that the lessening of these barriers is driving significant movement in the artificial intelligence of things (AIoT) market. The vast majority of the engineers surveyed are actively adopting increased on-device processing into their designs: 70% stated that most of their planned products would require ‘high’ or ‘very high’ onboard processing capabilities.<\/p>\n\n\n\n

The Edge of Now<\/a><\/strong> \u2013 the third in a series of annual reports examining engineers\u2019 attitudes towards the AIoT \u2013 has highlighted a significant decrease in the perceived barrier of the on-device processing capabilities required to enable the AIoT. Separately, the report found that just 24% of engineers now see cost as a barrier to increasing the on-device processing in their designs. That\u2019s half of the 48% from last year\u2019s report, and down from 64% in 2020.<\/p>\n\n\n\n

That optimism also applies to power consumption. Just 23% of engineers see power as a barrier to increasing onboard processing \u2013 a drop of more than half from 53% last year, and from 65% the year before.<\/p>\n\n\n\n

Given the importance of this higher processing power to enabling on-device AI functionality, it\u2019s no surprise to see engineers reporting that cost and power are also becoming less of a barrier to adopting AI functionality in their designs. A mere 16% now see cost as a barrier to the adoption of the AIoT, while barely a tenth (13%) see power requirements as a blocker to introducing AI to their products.<\/p>\n\n\n\n

\u201cConducting this research year-on-year gives us a really powerful sense of the AIoT\u2019s progress \u2013momentum is building as fears and concerns about barriers are starting to melt away,\u201d commented Mark Lippett, CEO, XMOS. \u201cThe normalisation of devices like smart speakers have made AI a more comfortable reality, even for consumers who have no technical expertise.\u201d<\/p>\n\n\n\n

\u201cHowever, these design challenges are mitigated \u2013 not eliminated. User experiences still have a long way to go – we need to empower engineers to keep smashing through barriers to adoption, which means providing them compelling capabilities running on versatile, low-power silicon at a price that makes the mass-proliferation of AIoT-enabled devices a realistic ambition.\u201d<\/p>\n\n\n\n

The full Edge of Now report is available HERE<\/a><\/strong>.<\/p>\n\n\n\n

Methodology: Survey of 131 engineers, conducted between 02\/03\/22 and 15\/03\/22.<\/p>\n","protected":false},"excerpt":{"rendered":"

Number of engineers citing cost and power as barriers to adopting AIoT-capable hardware halved since 2021; almost three quarters are actively developing products with higher on-device processing capabilities The number of engineers that see cost or power as an obstacle to increasing onboard processing in their designs has halved from 2021 levels, according to new …<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[353,10352,10354,10353],"class_list":["post-21974","post","type-post","status-publish","format-standard","","category-process","tag-ai","tag-aiot","tag-artificial-intelligence-of-things","tag-edge-of-now-report"],"yoast_head":"\nObstacles to artificial intelligence of things (AIoT) market growth fall for third consecutive year - Engineer News Network<\/title>\n<meta name=\"description\" content=\"Number of engineers citing cost and power as barriers to adopting AIoT-capable hardware halved since 2021; 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