The consumer industry continues to be a hotbed of patent innovation. Activity is driven by convenience, technology and personalization, and growing importance of technologies such as internet of things and artificial intelligence. In the last three years alone, there have been over 52,000 patents filed and granted in the consumer industry, according to GlobalData’s report on Artificial intelligence in consumer: personalized food recommendation. Buy the report here.
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According to GlobalData’s Technology Foresights, which uses over 12,000 patents to analyze innovation intensity for the consumer industry, there are 30+ innovation areas that will shape the future of the industry.
Personalized food recommendation is a key innovation area in artificial intelligence
Personalized food recommendation systems use user-specific personal data such as dietary goals/conditions, health status, allergies, food preferences, and contextual information to provide customized food recommendations. These systems can range from simple apps that generate recipes based on user preferences to complex networks that monitor user consumption, analyze data from multiple sources, and provide smart virtual shopping cart functionality.
GlobalData’s analysis also uncovers the companies at the forefront of each innovation area and assesses the potential reach and impact of their patenting activity across different applications and geographies. According to GlobalData, there are 135+ companies, spanning technology vendors, established consumer companies, and up-and-coming start-ups engaged in the development and application of personalized food recommendation.
Key players in personalized food recommendation – a disruptive innovation in the consumer industry
‘Application diversity’ measures the number of applications identified for each patent. It broadly splits companies into either ‘niche’ or ‘diversified’ innovators.
‘Geographic reach’ refers to the number of countries each patent is registered in. It reflects the breadth of geographic application intended, ranging from ‘global’ to ‘local’.
Patent volumes related to personalized food recommendation
Source: GlobalData Patent Analytics
In terms of patents filed, the leading companies in the personalized food recommendation space are Baxter International, Panasonic, and DNAnudge. DnaNudge initiated a partnership with Holland & Barrett, a prominent global health and wellness retailer to introduce the former’s DNA-personalized services at Holland & Barrett's flagship store located in London. DnaNudge's Nutrition service involves the examination and interpretation of individuals' genetic profiles related to crucial nutrition-related health aspects, including conditions like obesity, diabetes, hypertension, and cholesterol. The service can help customers to make informed dietary choices based on their unique genetic makeup and lifestyle factors, ultimately promoting healthier eating habits.
In terms of application diversity, Unicharm is the leading company in this space, while YAEGAKI Bio-industry and maxingvest are in the second and third positions, respectively.
By means of geographic reach, Sony Group leads the pack, followed by Shiseido and Lululemon Athletica.
As people become more health-conscious, there is a growing demand for personalized nutrition advice. Companies offering customized food recommendations based on an individual's dietary preferences, goals, and health conditions can benefit from this trend.
To further understand the key themes and technologies disrupting the consumer industry, access GlobalData’s latest thematic research report on Artificial Intelligence (AI) in Consumer Goods.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
GlobalData’s Patent Analytics tracks patent filings and grants from official offices around the world. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
