Statistics in Retail and E-commerce from AI

100 Shocking Statistics in Retail and E-commerce

1. The e-commerce market is anticipated to grow at a CAGR of 7.13% from 2025 to 2029.

2. The highest annual revenue growth in e-commerce occurred between 2020 and 2021.

3. Germany ranks 6th globally in e-commerce revenue.

4. Germany accounts for approximately 11.2% of its total retail market.

5. Between 2017 and 2020, Germany's e-commerce market grew by 57.8%.

6. Tobacco-related e-commerce users will reach 12.7 million by 2029.

7. Offline sales peaked in 2017, when 89.8% of total e-commerce revenue came from offline channels.

8. It is expected that 283 million people will buy online in the US in 2024.

9. Nearly three billion people buy online worldwide.

10. The share of e-commerce in terms of total worldwide retail sales is greater than 20%.

11. Online sales reached $6.51 trillion in 2023.

12. 43% of shoppers choose to make purchases in-store.

13. 70% of shoppers make purchases both online and in-store.

14. Clothing and electronics are the most popular online shopping categories.

15. Spending in the clothing and electronics e-commerce categories exceeded $1.3 trillion in 2023.

16. 43% of all e-commerce sales are made via mobile devices.

17. Temu was downloaded over 337 million times in 2023.

18. 41% of consumers have found products through social media.

19. 75% of US consumers say they have shopped for products on Facebook.

20. 50% of US consumers have shopped for products on Instagram.

21. 29% of US consumers have shopped for products on YouTube.

22. 18% of US consumers have shopped for products on TikTok.

23. Cyber Monday set a new record for e-commerce in 2023, with $12.4 billion in revenue.

24. Black Friday brought in $9.8 billion in 2023.

25. Amazon Prime Day saw the largest sales day in 2023: 375 million items sold globally by Prime users.

26. 99.9% of online consumers read reviews before they buy anything.

27. 72% of people appreciate it when similar products and offers can be customized according to their preferences.

28. 63% of shoppers are attracted by special deals and offers that can be done online only.

29. E-commerce is forecasted to capture 41% of retail sales worldwide by 2027.

30. In 2017, e-commerce accounted for 18% of worldwide retail sales.

31. The average e-commerce conversion rate is between 2% and 4%.

32. Amazon accounts for over 14.6% of all store visits online.

33. Shopify accounts for 30% of the top 1 million websites in the world.

34. 3.1 million companies use WooCommerce.

35. It's predicted that 95% of all purchases will be online by 2040.

36. There are currently more than 27 million e-commerce websites worldwide.

37. WooCommerce owns over 50% of the market share of e-commerce platforms.

38. Shopify serves more than 700 million buyers around the world.

39. The global fashion e-commerce market is expected to reach over $1 trillion in value by 2025.

40. Artificial intelligence is expected to add $150–$275 billion to fashion industry profits by optimising personalisation.

41. Artificial intelligence is expected to add $150–$275 billion to fashion industry profits by improving supply chains.

42. Artificial intelligence is expected to add $150–$275 billion to fashion industry profits by enhancing customer experience.

43. The global Big Data and Analytics market is valued at over $348 billion.

44. The Big Data industry has seen tremendous growth, shooting up from $169 billion in 2018 to $348.21 billion in 2024.

45. As of 2032, the global Big Data market is projected to generate $924.39 billion in revenue.

46. Approximately 402.74 million terabytes of data are created each day.

47. Internet users worldwide create around 147 zettabytes of data per year.

48. The US has a market share of over 50% in the Big Data and Analytics Solutions market.

49. American companies spent $110 billion on Big Data in 2021.

50. There are currently over 147 zettabytes of data in the entire digital universe.

51. The amount of data created by humans grows at an exponential rate.

52. In 2020, there were 64.2 zettabytes of data in the digital universe.

53. In 2024, that figure more than doubled to an estimated 147 zettabytes.

54. Just 2% of new data is retained the following year.

55. 98% of all data created in 2020 wasn't retained heading into 2021.

56. The amount of people on the internet between the ages of 16-64 who watch video online at least once a week is now at 93%.1

57. Music videos and memes account for the largest share of viewership (50% of people watching music videos and 37% watching memes)2

58. 28% of people will watch an educational video every week

59. 27% of people watch a product video every week.

60. In 2021 live video was produced by 53% of companies.

61. 86% of businesses use video as a marketing tool in some shape or form.

62. 92% of professional marketing managers valued video a big part of their marketing strategy in 2023.

63. 87% of video marketers see greater traffic to their website when they use video.

64. 82% of video marketers have seen an increase in dwell time when using video.

65. 96% of marketers have said that video has increased conversion rates.

66. Ages 10-19 are 25% of TikTok users.

67. Ages 20-29 are 22.4% of TikTok users.

68. Ages 30-39 are 21.7% of TikTok users.

69. Ages 40-49 are 20.3% of TikTok users.

70. Ages 50+ are 11% of TikTok users.

71. Google processes 99,000 searches every second.

72. Google processes 8.5 billion searches per day.

73. Google processes approximately 2 trillion searches each year.

74. Chrome is the leading web browser with a 64.7% market share.

75. Safari is the second leading web browser with a 18.59% market share.

76. Edge is the third leading web browser with a 4.96% market share.

77. Google dominates the search engine market with a 91.6% share.

78. Bing has a 3.4% share of the search engine market.

79. Yandex has a 1.7% share of the search engine market.

80. The global e-commerce market is expected to explode, reaching over $8 trillion by 2027.

81. The average cart abandonment rate across all industries is 69.89%.

82. Amazon gets more than 13% of all desktop traffic, four times more than eBay.

83. 42% of American customers are planning to spend more in 2025.

84. In the United States, the number of users shopping online is predicted to reach 333.5 million and therefore reach a new peak in3 2029.

85. B2B e-commerce could reach a whopping $36 trillion by 2026.

86. B2C e-commerce can climb to about $5.5 trillion by 2027.

87. Retail e-commerce sales worldwide are estimated to reach $6.86 trillion in 2025, an 8.3% year-over-year increase.

88. There are currently more than 27 million e-commerce websites worldwide. (Repeated for emphasis)

89. WooCommerce owns over 50% of the market share of e-commerce platforms. (Repeated for emphasis)

90. Shopify serves more than 700 million buyers around the world. (Repeated for emphasis)

91. The global fashion e-commerce market is expected to reach over $1 trillion in value by 2025. (Repeated for emphasis)

92. Artificial intelligence is expected to add $150–$275 billion to fashion industry profits by optimising personalisation, improving supply chains, and enhancing customer experience.4 (Repeated for emphasis)

93. 40% of the world's population has bought online.

94. The average online conversion rate for the year 2014 was 2.95%.

95. 43% profits come from retained customers for average eCommerce stores.

96. The margin increases to 80% for best in class eCommerce stores.

97. Only 42% companies are able to measure CLV (Customer Lifetime Value) accurately.

98. 44% companies focus more on customer acquisition then customer retention.

99. 16% focus more on retention.

100. Only 40% focus equally on both customer acquisition and retention.

100 Statistics about AI in Retail and E-commerce

I. AI Adoption & Market Growth

1. 85%: Percentage of retailers expected to adopt AI by 2025.

2. $299.64 billion: The global artificial intelligence (AI) in retail market size was valued at USD 299.64 billion in 2023.

3. 21.4%: The global artificial intelligence (AI) in retail market is projected to expand at a compound annual growth rate (CAGR) of 21.4% from 2024 to 2030.

4. 75%: Percentage of retailers planning to invest in AI for personalization by 2025.

5. 40%: Percentage of retailers using AI for inventory management.

II. Personalization & Recommendations

6. 35%: Estimated increase in e-commerce revenue for businesses using AI-powered product recommendations.

7. 70%: Percentage of consumers preferring personalized content recommendations driven by AI.

8. 91%: Consumers are more likely to shop with brands that provide personalized recommendations.

9. 56%: Consumers are more likely to return to a site that offers personalized recommendations.

10. 20%: AI-powered personalization can increase sales by up to 20%.

III. Customer Service & Chatbots

11. 85%: Percentage of customer interactions expected to begin online by 2025.

12. 80%: Percentage of routine customer inquiries that could be handled by AI chatbots.

13. 30% reduction: Potential decrease in customer service costs through AI chatbots.

14. 4.7: Average customer satisfaction rating for AI chatbot interactions (out of 5).

15. 45%: Projected growth of the chatbot market by 2027.

IV. Search & Product Discovery

16. 30%: AI-powered search can increase e-commerce conversion rates by up to 30%.

17. 50%: Shoppers are more likely to purchase if they can easily find what they're looking for.

18. 90%: Customers are more likely to use a site's search bar if it's prominent.

19. 2x: AI-powered visual search can double conversion rates.

20. 30%: AI-powered product discovery can increase average order value by 30%.

V. Marketing & Advertising

21. 40%: Estimated increase in click-through rates on online ads personalized by AI.

22. 50%: AI can improve email open rates by up to 50%.

23. 20%: AI can increase email click-through rates by up to 20%.

24. 30%: AI-driven personalization can boost marketing ROI by up to 30%.

25. 75.7%: Percentage of marketers are now using AI tools for work.

VI. Pricing & Promotions

26. 10-15%: AI-driven dynamic pricing can increase profit margins by 10-15%.

27. 20%: AI can reduce markdowns by up to 20% through better demand forecasting.

28. 30%: AI can improve the effectiveness of promotional campaigns by 30%.

29. 5-10%: AI-optimized pricing can increase sales volume by 5-10%.

30. 15%: AI can reduce pricing errors by up to 15%.

VII. Inventory & Supply Chain

31. 20-30%: AI can reduce inventory holding costs by 20-30%.

32. 90-95%: Target accuracy for AI in demand forecasting, minimizing stockouts and overstocking.

33. 50%: AI can improve inventory turnover by up to 50%.

34. 20%: AI can reduce supply chain disruptions by up to 20%.

35. 10-15%: AI can decrease logistics costs by 10-15%.

VIII. Fraud Prevention

36. 90%: Accuracy of AI in detecting fraudulent online transactions.

37. 20% reduction: AI can reduce chargebacks by up to 20%.

38. 50% faster: AI can detect fraud 50% faster than traditional methods.

39. 95%: AI can identify fraudulent accounts with 95% accuracy.

40. 10%: AI can reduce false positives in fraud detection by up to 10%.

IX. Visual Search & Product Discovery

41. 2x: AI-powered visual search can double conversion rates.

42. 30%: AI-powered product discovery can increase average order value by 30%.

43. 50%: Shoppers are more likely to purchase if they can easily find what they're looking for.

44. 90%: Customers are more likely to use a site's search bar if it's prominent.

45. 20% increase: AI-driven product recommendations can increase product discovery by 20%.

X. Virtual Try-On & Personalization

46. 26%: Reduction in return rates for online fashion retailers using AI-powered virtual try-on.

47. 40%: AI-driven personalization can increase customer lifetime value by 40%.

48. 74%: Customers feel frustrated when website content is not personalized.

49. 60%: AI-powered personalization can improve customer engagement by 60%.

50. 50%: AI can increase customer loyalty by up to 50%.

XI. Chatbots & Conversational Commerce

51. 80%: Percentage of routine customer inquiries that could be handled by AI chatbots.

52. 30% reduction: Potential decrease in customer service costs through AI chatbots.

53. 4.7: Average customer satisfaction rating for AI chatbot interactions (out of 5).

54. 24/7: Availability of AI chatbots, leading to increased service hours.

55. 45%: Projected growth of the chatbot market by 2027.

XII. Marketing Automation

56. 50%: AI can improve email open rates by up to 50%.

57. 20%: AI can increase email click-through rates by up to 20%.

58. 30%: AI-driven personalization can boost marketing ROI by up to 30%.

59. 75.7%: Percentage of marketers are now using AI tools for work.

60. 69%: Percentage of marketers are using ChatGPT.

XIII. Content Creation

61. 50% reduction: AI can reduce content creation time by up to 50%.

62. 30% increase: AI can improve content quality by 30%.

63. 40%: AI can automate content generation for social media posts.

64. 2x: AI can double the amount of content produced by marketing teams.

65. 25%: AI can reduce the cost of content creation by 25%.

XIV. Advertising Optimization

66. 40%: Estimated increase in click-through rates on online ads personalized by AI.

67. 20% increase: AI can improve ad conversion rates by 20%.

68. 30%: AI can reduce ad spend waste by 30%.

69. 2x: AI can double the effectiveness of retargeting campaigns.

70. 50%: AI can automate ad bidding and placement.

XV. Analytics & Insights

71. 90%: Accuracy of AI in predicting customer churn.

72. 25% improvement: AI can improve the accuracy of sales forecasting by 25%.

73. 40% increase: AI can boost customer lifetime value by 40%.

74. 3x faster: AI can analyze customer data 3x faster than traditional methods.

75. 20%: AI can improve customer segmentation accuracy by 20%.

XVI. Supply Chain & Logistics (Retail Context)

76. 20-30%: AI can reduce inventory holding costs by 20-30%.

77. 90-95%: Target accuracy for AI in demand forecasting, minimizing stockouts and overstocking.

78. 50%: AI can improve inventory turnover by up to 50%.

79. 20%: AI can reduce supply chain disruptions by up to 20%.

80. 10-15%: AI can decrease logistics costs by 10-15%.

XVII. Fraud Prevention (E-commerce)

81. 90%: Accuracy of AI in detecting fraudulent online transactions.

82. 20% reduction: AI can reduce chargebacks by up to 20%.

83. 50% faster: AI can detect fraud 50% faster than traditional methods.

84. 95%: AI can identify fraudulent accounts with 95% accuracy.

85. 10%: AI can reduce false positives in fraud detection by up to 10%.

XVIII. Visual Search

86. 2x: AI-powered visual search can double conversion rates.

87. 30% increase: AI-powered product discovery can increase average order value by 30%.

88. 50%: Shoppers are more likely to purchase if they can easily find what they're looking for.

89. 90%: Customers are more likely to use a site's search bar if it's prominent.

90. 20% increase: AI-driven product recommendations can increase product discovery by 20%.

XIX. Virtual Try-On

91. 26%: Reduction in return rates for online fashion retailers using AI-powered virtual try-on.

92. 40%: AI-driven personalization can increase customer lifetime value by 40%.

93. 74%: Customers feel frustrated when website content is not personalized.

94. 60%: AI-powered personalization can improve customer engagement by 60%.

95. 50%: AI can increase customer loyalty by up to 50%.

XX. Voice Search

96. 50%: Users prefer using voice commands to find local businesses or organizations.

97. 82%: Users use voice search to find stores.

98. 18% of local voice searches: Result in a purchase within the day.

99. 62% of people: Search for local businesses while driving using voice.

100. 52%: Search for products or services using voice.