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May 17, 2022

Food manufacturers, machine learning and innovation – patents data

Analysis of patent filings shows a shrinking level of machine learning-related applications in the industry over the past year.

By Data Journalism Team

Research and innovation in machine learning in the food manufacturing sector has declined in the last year, GlobalData says.

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by GlobalData
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The most recent figures show the number of patent applications made by major food manufacturers on machine learning stood at 21 in the three months ending March – down from 93 over the same period in 2021.

However, figures on the number of patents approved followed a different pattern to filings – growing from two in the three months ending March 2021 to 15 in the same period in 2022.

GlobalData, Just Food’s parent company, tracks patent filings and approvals from offices around the world. Using textual analysis, as well as official patent classifications, these patents are grouped into thematic areas and linked to key companies across various industries.

Machine learning is seen by GlobalData as a disruptive force facing companies in the coming years and is one of the areas companies investing resources in now are expected to reap rewards from.

Noodle marker Uni-President China Holdings filed 13 related patents in the three months ending March, the most among the companies under review but down from 82 over the same period in 2021.

The Taiwan-based group was followed by Chile-based alt-protein business NotCo and Nestlé, both of which filed three applications during the quarter.

 

Further analysis:

Robotics innovation among food manufacturers drops off – data

Patents on machine learning in food – what are the trends?

The latest figures on food manufacturers’ big data patents

Related Companies

Free Report
img

Spot leading innovative companies with GlobalData’s Innovation Scorecard

Innovation remains a necessity in a disruptive ecosystem, as continuous innovation allows companies to adapt, evolve, and grow through disruption. Using our in-house alternative datasets, we are excited to launch GlobalData’s Innovation Scorecard. This scorecard will allow clients to rank 3,500+ companies on their innovation activity, impact, and disruptive potential across geography, sector, and theme. The scorecard provides a data-driven framework to rank leading companies on the potential of their intellectual property (IP) portfolio. GlobalData’s Innovation Scorecard focuses not only on the activity of innovation in the organization but also on its impact and disruptive potential using the 3I framework: Intensity, Impact, and Ingenuity. The tool helps clients to identify the most innovative companies that are disruptive leaders and challengers and can create alpha for their portfolio using the insights driven by 19+ high-value KPIs. Download our report to find out more about this innovative tool. Key findings derived from this tool include:
  • Alphabet, Tencent, and Qualcomm are the top three innovative companies in the last 10 years
  • The scorecard finds Technology & Communications and Pharma & Healthcare as the two main sectors driving innovation
  • Loreal placed as ‘Disruptive Leader’ in the Consumer sector, while Revlon has been identified as a traditional laggard
  • Companies such as Etsy and H&M are challenging retail ‘Disruptive Leaders’ Amazon and Walmart
by GlobalData
Enter your details here to receive your free Report.

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