GITNUX MARKETDATA REPORT 2024

Ai In The Shoe Industry Statistics

AI is expected to revolutionize the shoe industry by enhancing customization, improving production processes, and personalizing customer experiences.

Highlights: Ai In The Shoe Industry Statistics

  • The CAGR for AI in Footwear Manufacturing is expected to be 27.6% between 2020 - 2027.
  • In 2020, Adidas launched a new running shoe designed with AI.
  • AI has the potential to reduce the labor costs in the footwear industry by up to 50%
  • The combination of AI and IoT enabled 70% faster production of shoes for Under Armour.
  • In 2020, the global Sneaker Market, where AI is growing rapidly, reached $79.1 billion.
  • In a survey, 70% of retail executives said they plan to invest in AI by 2021 with part of this investment going into footwear.
  • By 2025, about 85% of footwear will use automated technologies, including AI.
  • According to a VEND retail report, nearly 22% of shoe companies use AI for product recommendations.
  • In 2017, about 7.3% of Adidas's annual sales were through e-commerce which heavily utilizes AI for customer interaction and product recommendations.
  • The machine learning algorithms in applications like Shoefitr have improved size and fit recommendations in the shoe industry by up to 23%.
  • In 2021, the global AI market in fashion (including shoes) was valued at 270 million USD.
  • Adidas uses AI to interpret social media comments, leading to the production of more than a million shoes in 2018.
  • AI-driven shopping assistant apps, used in the shoe industry, are supposed to hit 2.42 billion downloads by 2023.
  • In 2020, the AI-powered personalization market in apparels (includes footwear) was valued at over 3 billion USD.
  • According to Oracle, 93% of executives want to invest in AI to improve customer experience, which includes shoe size recommendations and personalized marketing.

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The Latest Ai In The Shoe Industry Statistics Explained

The CAGR for AI in Footwear Manufacturing is expected to be 27.6% between 2020 – 2027.

The Compound Annual Growth Rate (CAGR) is a measure used to represent the average annual growth rate of an investment over a specified period of time. In this context, the statement indicates that the AI technology adoption within the footwear manufacturing industry is projected to grow at a robust rate of 27.6% per year between 2020 and 2027. This suggests that there is a strong momentum and increasing interest in integrating artificial intelligence solutions within this sector, potentially leading to significant advancements in manufacturing processes, efficiency improvements, and product innovations. This statistic underlines the potential for substantial growth and transformation within the footwear manufacturing industry driven by AI technologies over the specified period.

In 2020, Adidas launched a new running shoe designed with AI.

The statistic “In 2020, Adidas launched a new running shoe designed with AI” indicates that in the year 2020, the well-known sportswear company Adidas unveiled a novel running shoe that incorporates artificial intelligence (AI) technology into its design. This suggests that Adidas has utilized advanced technology in the development of their new product to potentially enhance performance, comfort, or other features of the running shoe. By leveraging AI in the creation of this footwear, Adidas aims to stay at the forefront of innovation in the athletic shoe market and cater to runners seeking cutting-edge products that deliver superior quality and functionality.

AI has the potential to reduce the labor costs in the footwear industry by up to 50%

This statistic suggests that the integration of artificial intelligence (AI) technology in the footwear industry has the capability to significantly decrease labor costs. Specifically, the potential reduction of up to 50% implies that AI systems could automate tasks traditionally carried out by human workers, leading to cost savings for companies. By leveraging AI for activities such as production, inventory management, and customer service, footwear companies can streamline operations, improve efficiency, and ultimately cut down on labor expenses. This statistic underscores the transformative impact that AI can have on the footwear industry by driving cost efficiencies and enhancing competitiveness in the market.

The combination of AI and IoT enabled 70% faster production of shoes for Under Armour.

The statistic indicates that the integration of artificial intelligence (AI) and Internet of Things (IoT) technologies has led to a 70% acceleration in the production process of shoes for Under Armour, a sportswear company. This means that by leveraging AI to analyze and optimize various aspects of the production line, and utilizing IoT devices to gather real-time data and enable seamless communication between different components of the manufacturing process, Under Armour has significantly decreased the time it takes to manufacture shoes. This increased efficiency not only enables faster production but also likely results in cost savings, improved quality, and overall enhanced competitiveness in the market.

In 2020, the global Sneaker Market, where AI is growing rapidly, reached $79.1 billion.

The statistic “In 2020, the global Sneaker Market, where AI is growing rapidly, reached $79.1 billion” signifies the total value of sales generated within the sneaker industry worldwide during the year 2020. This figure highlights the considerable size and economic significance of the sneaker market, showing a thriving industry where artificial intelligence (AI) technology is playing an increasingly prominent role. The market’s substantial value underlines the consumer demand and commercial opportunities present within the sneaker industry, further fueled by advancements in AI technology that are enhancing various aspects of design, production, marketing, and sales processes within the sector.

In a survey, 70% of retail executives said they plan to invest in AI by 2021 with part of this investment going into footwear.

The statistic indicates that 70% of retail executives surveyed have expressed intentions to invest in AI technology by the year 2021, with a portion of this investment being focused on the footwear industry. This suggests a significant interest and commitment from retail executives towards incorporating AI advancements into their business operations, potentially to enhance decision-making, customer experiences, and operational efficiencies within the footwear sector. The planned investment in AI also reflects a growing trend in the retail industry towards adopting innovative technologies to stay competitive and meet evolving consumer demands.

By 2025, about 85% of footwear will use automated technologies, including AI.

This statistic suggests that by the year 2025, the footwear industry is anticipated to significantly adopt automated technologies, specifically leveraging artificial intelligence (AI). This forecast entails that a large majority, around 85%, of the footwear production processes will involve automated systems that are powered by AI. Such technologies may be involved in various aspects of the footwear manufacturing process, from design and prototyping to production and quality control. This trend indicates a shift towards increased efficiency, precision, and potentially cost-effectiveness in the footwear industry as automation and AI continue to revolutionize manufacturing practices.

According to a VEND retail report, nearly 22% of shoe companies use AI for product recommendations.

The statistic “According to a VEND retail report, nearly 22% of shoe companies use AI for product recommendations” indicates that a substantial portion of shoe companies have implemented artificial intelligence technology to provide product recommendations to their customers. This suggests that a growing number of businesses in the shoe industry are leveraging AI capabilities to enhance the customer shopping experience and drive sales. By utilizing AI for product recommendations, these companies can offer personalized suggestions to consumers based on their preferences and behavior, ultimately leading to increased customer satisfaction and potentially higher conversion rates. This statistic highlights a trend towards the adoption of advanced technologies in retail to better meet the needs and expectations of modern shoppers.

In 2017, about 7.3% of Adidas’s annual sales were through e-commerce which heavily utilizes AI for customer interaction and product recommendations.

The statistic that in 2017, approximately 7.3% of Adidas’s total annual sales were generated through e-commerce, a platform that extensively leverages artificial intelligence (AI) for customer interactions and personalized product recommendations, highlights the increasing influence of technology in modern retail practices. This figure signifies the significant contribution of online channels to Adidas’s overall sales strategy, showcasing the company’s adaptation to the changing consumer landscape and the growing trend towards digital shopping experiences. By implementing AI technologies in e-commerce, Adidas is able to enhance customer engagement, tailor recommendations based on individual preferences, and ultimately drive sales through data-driven insights and personalized interactions in the online marketplace.

The machine learning algorithms in applications like Shoefitr have improved size and fit recommendations in the shoe industry by up to 23%.

The statistic highlights the significant impact of machine learning algorithms, specifically in applications like Shoefitr, on enhancing size and fit recommendations within the shoe industry. By leveraging advanced algorithms, Shoefitr has achieved a remarkable improvement of up to 23% in providing accurate size and fit suggestions to consumers. This advancement indicates that machine learning technologies have revolutionized the traditional approach to sizing and fitting shoes, resulting in a more personalized and precise shopping experience for customers. Ultimately, this statistic underscores the transformative potential of data-driven algorithms in optimizing customer satisfaction and efficiency in the footwear industry.

In 2021, the global AI market in fashion (including shoes) was valued at 270 million USD.

The statistic states that in 2021, the global artificial intelligence (AI) market in the fashion industry, including shoes, was worth 270 million USD. This indicates the monetary value of AI applications and technologies being utilized in various aspects of the fashion sector, such as trend forecasting, personalization, supply chain optimization, and customer analytics. The market value of 270 million USD underscores the growing significance and adoption of AI in the fashion industry, showcasing the industry’s increasing reliance on data-driven insights and technological advancements to drive innovation, efficiency, and competitiveness in a rapidly evolving market landscape.

Adidas uses AI to interpret social media comments, leading to the production of more than a million shoes in 2018.

The statistic provided indicates that Adidas utilized artificial intelligence (AI) technology to analyze social media comments in order to gain insights that influenced the design and production of over a million shoes in 2018. By leveraging AI for sentiment analysis and trend prediction from social media data, Adidas was able to better understand consumer preferences, demands, and emerging fashion trends. This innovative approach allowed Adidas to adapt quickly to the dynamic market landscape and efficiently tailor their shoe production to meet consumer needs, ultimately leading to a successful release of more than a million shoes in 2018.

AI-driven shopping assistant apps, used in the shoe industry, are supposed to hit 2.42 billion downloads by 2023.

The statistic indicating that AI-driven shopping assistant apps in the shoe industry are projected to reach 2.42 billion downloads by 2023 suggests a significant growth and adoption of such technology in the retail sector. This statistic highlights the increasing popularity and reliance on AI-based tools to enhance the shopping experience, particularly in the context of shoe shopping. The expected rise in downloads indicates a shifting trend towards technology-driven solutions in the retail industry, potentially leading to improved customer engagement, personalized recommendations, and streamlined shopping experiences. This projection underscores the importance of analytics, artificial intelligence, and technological innovation in reshaping the future of the retail landscape, specifically within the shoe industry.

In 2020, the AI-powered personalization market in apparels (includes footwear) was valued at over 3 billion USD.

The statistic indicates that in 2020, the market for AI-powered personalization in the apparels sector, which also includes footwear, achieved a valuation exceeding 3 billion USD. This suggests a substantial investment in the utilization of artificial intelligence technology for customizing and improving the shopping experience, product recommendations, and overall consumer satisfaction within the apparel and footwear industry. The sizeable market value reflects the increasing adoption of AI solutions by retailers and brands to cater to individual preferences, enhance efficiency, and stay competitive in the rapidly evolving retail landscape.

According to Oracle, 93% of executives want to invest in AI to improve customer experience, which includes shoe size recommendations and personalized marketing.

The statistic mentioned states that 93% of executives, according to Oracle, are interested in investing in artificial intelligence (AI) technologies to enhance customer experience. This investment would specifically target areas such as providing shoe size recommendations and personalized marketing to customers. The high percentage of executives expressing interest indicates a strong belief in the potential of AI-driven solutions to positively impact customer interactions and ultimately drive business growth. By leveraging AI for functions like personalized marketing, companies aim to better meet consumer needs and preferences, leading to improved customer satisfaction and loyalty. The emphasis on AI for customer experience enhancements reflects a strategic focus on utilizing technology to stay competitive and optimize business outcomes in today’s increasingly digital marketplace.

References

0. – https://www.www.globenewswire.com

1. – https://www.arvrjourney.com

2. – https://www.reports.valuates.com

3. – https://www.nexd.com

4. – https://www.www.bbc.com

5. – https://www.blogs.oracle.com

6. – https://www.megadata.ai

7. – https://www.edition.cnn.com

8. – https://www.www.vendhq.com

9. – https://www.www.statista.com

10. – https://www.www.chetu.com

11. – https://www.fortune.com

12. – https://www.spectrum.ieee.org

13. – https://www.www.businessoffashion.com

How we write our statistic reports:

We have not conducted any studies ourselves. Our article provides a summary of all the statistics and studies available at the time of writing. We are solely presenting a summary, not expressing our own opinion. We have collected all statistics within our internal database. In some cases, we use Artificial Intelligence for formulating the statistics. The articles are updated regularly.

See our Editorial Process.

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