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December 20, 2021updated 25 Jan 2022 9:37am

Asia-Pacific sees hiring boom in apparel industry machine learning roles

Asia-Pacific was the fastest-growing region for machine learning hiring among apparel industry companies in the three months ending October.

By Michael Goodier

The number of roles in Asia-Pacific made up 8% of total machine learning jobs – up from 0% in the same quarter last year.

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That was followed by North America, which saw a 5.4 year-on-year percentage point change in machine learning roles.

The figures are compiled by GlobalData, which tracks the number of new job postings from key companies in various sectors over time. Using textual analysis, these job advertisements are then classified thematically.

GlobalData's thematic approach to sector activity seeks to group key company information by topic to see which companies are best placed to weather the disruptions coming to their industries.

These key themes, which include machine learning, are chosen to cover "any issue that keeps a CEO awake at night".

Tracking across job advertisements shows which companies are leading the way on specific issues and which are dragging their heels – and importantly, where the market is expanding and contracting.

Which countries are seeing the most growth for machine learning roles in the apparel industry?

The fastest-growing country was Italy, which saw zero 0% of all machine learning job adverts in the three months ending October last year, increasing to 6% in the three months ending October this year.

That was followed by China (up four percentage points), India (up two), and Belgium (up two).

The top country for machine learning roles in the apparel industry is the United States which saw 68% of all roles in the three months ending October.

Which cities are the biggest hubs for machine learning workers in the apparel industry?

Some 22% of all apparel industry machine learning roles were advertised in San Francisco (US) in the three months ending October – more than any other city.

That was followed by Portland (US) with 22% Paris (France) with 6%, and Milan (Italy) also with 6%.

A project focused on developing AI and machine learning to automate factory planning by Pennine Weavers is among the 12 successful projects that will benefit from Future Fashion Factory’s fourth innovation funding call.

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Free Report
img

How can brands navigate the post-COVID-19 Apparel market?

In 2021, the Global Apparel market remained at 3% below pre-pandemic levels, with Europe and LATAM lagging behind. If they want to see full recovery, brands must look ahead. GlobalData is therefore offering this free report, Future of the Apparel Market Post Pandemic, to assist companies in adapting to the future market. This report explores the following topics:
  • Latest forecasts for the online apparel market out to 2025
  • How different regions and categories will perform, including which regions are lagging behind and which are performing at pre-pandemic levels
  • Which categories within the Apparel market are displaying resilience
  • Which brands are driving online spending
  • Impact of inflation on the Global Apparel market
  • What the biggest trends are that apparel businesses must adopt to succeed
Read our report on the Future of the Apparel Market Post Pandemic to gain valuable insights on how to best position your brand in a post-COVID-19 world.
by GlobalData
Enter your details here to receive your free Report.

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