The apparel industry continues to be a hotbed of patent innovation. Activity is driven by rise in e-commerce, data analytics, social responsibility, and supply chain management, and growing importance of technologies such as automation, blockchain, virtual and augmented reality. In the last three years alone, there have been over 2,600 patents filed and granted in the apparel industry, according to GlobalData’s report on Innovation in apparel: personalized lookbooks. Buy the report here.
However, not all innovations are equal and nor do they follow a constant upward trend. Instead, their evolution takes the form of an S-shaped curve that reflects their typical lifecycle from early emergence to accelerating adoption, before finally stabilizing and reaching maturity.
Identifying where a particular innovation is on this journey, especially those that are in the emerging and accelerating stages, is essential for understanding their current level of adoption and the likely future trajectory and impact they will have.
20+ innovations will shape the apparel industry
According to GlobalData’s Technology Foresights, which plots the S-curve for the apparel industry using innovation intensity models built on over 41,000 patents, there are 20+ innovation areas that will shape the future of the industry.
Within the emerging innovation stage, reflective fabrics and body measurements AI are disruptive technologies that are in the early stages of application and should be tracked closely. Insulated composite fabrics, e-textiles, and personalized lookbooks are some of the accelerating innovation areas, where adoption has been steadily increasing. Among maturing innovation areas are wearable computers and breathable fabrics, which are now well established in the industry.
Innovation S-curve for the apparel industry
Personalized lookbooks are a key innovation area in apparel
Personalized lookbooks refer to curated collections of fashion or style recommendations that are tailored to an individual's preferences, tastes, and characteristics. These lookbooks can be created digitally, leveraging user data and algorithms to provide personalized fashion suggestions. They offer a convenient way for individuals to discover new styles, stay updated with fashion trends, and receive outfit recommendations based on their unique preferences.
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 310+ companies, spanning technology vendors, established apparel companies, and up-and-coming start-ups engaged in the development and application of personalized lookbooks.
Key players in personalized lookbooks – a disruptive innovation in the apparel 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 lookbooks
Source: GlobalData Patent Analytics
eBay is one of the leading patent filers in personalized lookbooks. Some other key patent filers in the space include Gogoro and Apple. Apple provides fashion lookbook apps such as WEAR, accessible through the Apple Store, which enables shoppers to track their fashion idols, acquire insights into current trends, and access details about their preferred labels and brands.
In terms of application diversity, Gogoro leads the pack, while Memjet Technology and TouchTunes Music stood in the second and third positions, respectively.
By means of geographic reach, Cox Enterprises held the top position, followed by Canadian National Railway and Memjet Technology.
Personalized lookbooks are created to market apparel products in a visually appealing and engaging way to attract more customers. Personalized lookbooks use automation tools and software that gather data about customer buying behavior enabling these to provide recommendations that are more relevant to the customer.
To further understand the key themes and technologies disrupting the apparel industry, access GlobalData’s latest thematic research report on Apparel.
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