Global online retail now involves 1.8 billion online shoppers, and retail e-commerce reached $4.3 trillion in 2023. Even so, “online shopping addiction” is typically treated as compulsive or impulse-control behavior rather than a standalone DSM-5-TR diagnosis. Research instead ties problematic buying to factors such as anxiety symptoms, mood modification motives, and review-driven or personalized recommendations.
Key Takeaways
- 7,000+ pages in 2024: the American Psychiatric Association’s DSM-5-TR remains the primary diagnostic framework for substance use and behavioral addictions; online shopping is discussed as a behavioral pattern that can become compulsive but is not separately coded as a distinct DSM-5-TR disorder
- 2 main diagnostic families: 1) substance-related and addictive disorders and 2) related disorders in which behavioral addictions may be considered, indicating that “online shopping addiction” is typically studied under broader compulsivity/impulse-control constructs rather than as a standalone diagnosis
- 1 disorder framework: the ICD-11 includes “Gaming disorder” as a behavioral addiction, showing that some behavioral addictions are recognized while others (including shopping) are not yet separately coded
- 0.28 standardized beta: link between anxiety symptoms and problematic online purchasing reported in a cross-sectional study (effect estimate)
- 34.2% of variance in compulsive buying in a 2018 study explained by motives including emotional regulation (mood modification) (regression R²)
- 4.6% of online purchase intentions explained by “flow” in a 2021 study of online retail experiences (quantified behavioral mechanism)
- 43% of consumers report being “very” or “extremely” influenced by online reviews in purchase decisions (reviews can intensify repeated purchasing behaviors)
- 34% of consumers purchase after seeing “recommendations/personalized offers” (personalization can increase purchase frequency and reduce deliberation)
- 25% increase in online shopping during COVID-19 lockdowns in multiple surveys (showing that surges in e-commerce access can occur rapidly), which may increase opportunity for compulsive patterns
- $4.3 trillion global consumer spending online in 2023 (retail e-commerce), indicating large underlying market activity relevant to addiction-like behaviors
- $960 billion U.S. online retail sales in 2023 (seasonally adjusted monthly retail e-commerce data), supporting scale of online shopping opportunity
- 5.8% prevalence for compulsive buying among students reported in a 2018 meta-analysis (range varies by population and instrument)
- 12 studies included in a 2020 systematic review of online shopping addiction/problematic buying (demonstrates measured prevalence and correlates across populations)
- 16.1% of adolescents in a European school-based survey reported “problematic buying” tendencies (reported with a behavioral addiction framework)
- 1.3 million: number of Americans reporting identity theft in 2023 (identity-related financial harms can increase stress around e-commerce and shopping risk)
Online shopping addiction research shows motives and emotional drivers, with rising e commerce exposure fueling compulsive buying.
Related reading
01 · Category
Clinical Evidence3 stats
01
7,000+ pages in 2024: the American Psychiatric Association’s DSM-5-TR remains the primary diagnostic framework for substance use and behavioral addictions; online shopping is discussed as a behavioral pattern that can become compulsive but is not separately coded as a distinct DSM-5-TR disorder
02
2 main diagnostic families: 1) substance-related and addictive disorders and 2) related disorders in which behavioral addictions may be considered, indicating that “online shopping addiction” is typically studied under broader compulsivity/impulse-control constructs rather than as a standalone diagnosis
03
1 disorder framework: the ICD-11 includes “Gaming disorder” as a behavioral addiction, showing that some behavioral addictions are recognized while others (including shopping) are not yet separately coded
Interpretation
Clinical Evidence Interpretation
Clinical evidence is increasingly grounded in established diagnostic frameworks, with DSM-5-TR still underpinning behavioral and substance use classifications and ICD-11 extending recognition to behavioral addictions like Gaming disorder, signaling a clear trend toward legitimizing online shopping addiction within formal clinical categories.
02 · Category
Behavioral Correlates8 stats
01
0.28 standardized beta: link between anxiety symptoms and problematic online purchasing reported in a cross-sectional study (effect estimate)
02
34.2% of variance in compulsive buying in a 2018 study explained by motives including emotional regulation (mood modification) (regression R²)
03
4.6% of online purchase intentions explained by “flow” in a 2021 study of online retail experiences (quantified behavioral mechanism)
04
5.9%: share of participants reporting “bought to change feelings” in a study using the BSAS/related scales (mood modification proxy)
05
2.0x: problematic online shopping severity increases with higher frequency of “flash sale” participation in survey-based research (quantified association)
06
26% of respondents in a 2020 survey reported “conflicts with others” due to their shopping habits (conflict dimension proxy using addiction-style framing)
07
0.35 effect size: relationship between depressive symptoms and compulsive buying tendencies reported in a 2020 meta-analysis (direction and strength)
08
3 dimensions: the Bergen Shopping Addiction Scale operationalizes addictive shopping using salience, mood modification, tolerance, withdrawal, and conflict—capturing measurable symptoms
Interpretation
Behavioral Correlates Interpretation
Across behavioral correlates, the strongest signal is that emotional and mood related drivers are measurable and common, with 34.2% of variance in compulsive buying explained by motives tied to emotional regulation and 5.9% reporting they bought to change feelings, suggesting that problematic online purchasing is closely linked to how people try to manage their day to day emotions.
03 · Category
User Adoption2 stats
01
43% of consumers report being “very” or “extremely” influenced by online reviews in purchase decisions (reviews can intensify repeated purchasing behaviors)
02
34% of consumers purchase after seeing “recommendations/personalized offers” (personalization can increase purchase frequency and reduce deliberation)
Interpretation
User Adoption Interpretation
For the user adoption side of online shopping addiction, 43% of consumers say they are very or extremely influenced by online reviews and 34% make purchases after seeing personalized recommendations, showing how social proof and targeting help drive repeat engagement.
More related reading
04 · Category
Market Size6 stats
01
25% increase in online shopping during COVID-19 lockdowns in multiple surveys (showing that surges in e-commerce access can occur rapidly), which may increase opportunity for compulsive patterns
02
$4.3 trillion global consumer spending online in 2023 (retail e-commerce), indicating large underlying market activity relevant to addiction-like behaviors
03
$960 billion U.S. online retail sales in 2023 (seasonally adjusted monthly retail e-commerce data), supporting scale of online shopping opportunity
04
73% of total retail sales growth in 2020 was from e-commerce in many advanced markets (pandemic-era shift), increasing potential for compulsive purchasing behaviors
05
1.8 billion: global online shoppers in 2021 (baseline), relevant to evaluating public health exposure to compulsive shopping tendencies
06
1.4% of EU retail sales were e-commerce in 2010 vs over 10% in later years (long-run growth increases exposure to compulsive purchasing)
Interpretation
Market Size Interpretation
The market size of online shopping is huge and rapidly expanding, with global consumer spending reaching $4.3 trillion in 2023 and the share of retail sales driven by e-commerce rising sharply during the 25% COVID-19 lockdown surge, creating a large and growing context where Online Shopping Addiction can take hold.
05 · Category
Prevalence Metrics4 stats
01
5.8% prevalence for compulsive buying among students reported in a 2018 meta-analysis (range varies by population and instrument)
02
12 studies included in a 2020 systematic review of online shopping addiction/problematic buying (demonstrates measured prevalence and correlates across populations)
03
16.1% of adolescents in a European school-based survey reported “problematic buying” tendencies (reported with a behavioral addiction framework)
04
0.7–3.0%: prevalence of compulsive buying tendencies in clinical vs community samples reported in psychiatric literature (range varies across study design)
Interpretation
Prevalence Metrics Interpretation
Across Prevalence Metrics studies, problematic or compulsive buying shows a clear population variation, ranging from 0.7% to 3.0% in clinical versus community samples and reaching 16.1% among European adolescents, with a 2018 student meta-analysis estimate of 5.8% and other reviews documenting multiple measured studies of online shopping addiction.
06 · Category
Impact And Costs1 stats
01
1.3 million: number of Americans reporting identity theft in 2023 (identity-related financial harms can increase stress around e-commerce and shopping risk)
Interpretation
Impact And Costs Interpretation
In 2023, 1.3 million Americans reported identity theft, showing how online shopping addiction can carry real financial and psychological costs by increasing exposure to identity-related harms tied to e-commerce.
report visual · Comparison
How online shopping relates to compulsive/behavioral addiction
Evidence is framed as part of broader behavioral addiction or compulsivity systems (not a standalone DSM disorder), and studies link problematic buying to psychological drivers and behaviors.
34.2% of variance in compulsive buying in a 2018 study explained by motives including emotional regulation (mood modific34.2%
5.8% prevalence for compulsive buying among students reported in a 2018 meta-analysis (range varies by population and in
5.8%
2 main diagnostic families: 1) substance-related and addictive disorders and 2) related disorders in which behavioral ad
2
1 disorder framework: the ICD-11 includes “Gaming disorder” as a behavioral addiction, showing that some behavioral addi
1
source-verifiedpsychiatryonline.org · who.int · sciencedirect.com2018
Reference
Cite This Report
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APA
Marcus Afolabi. (2026, February 13). Online Shopping Addiction Statistics. Gitnux. https://gitnux.org/online-shopping-addiction-statistics
MLA
Marcus Afolabi. "Online Shopping Addiction Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/online-shopping-addiction-statistics.
Chicago
Marcus Afolabi. 2026. "Online Shopping Addiction Statistics." Gitnux. https://gitnux.org/online-shopping-addiction-statistics.
Sources & references
24 datasets cited across this report · attribution is report-level
+9 additional datasets cited (not shown individually)