Gitnux/Report 2026

AI Agents E-Commerce Industry Statistics

With 78% of e-commerce shoppers preferring AI agent assisted purchases for faster checkout in 2024, this page shows why support, pricing, and personalization are no longer optional as 67% of consumers demand AI agent transparency in data use. You will also see how adoption is accelerating into 2025 plans, including 55% of retailers budgeting for a 30% AI agent increase, alongside performance gains like chat satisfaction hitting 92% versus 68% for traditional support.
277Statistics
80Sources
12Sections
1Visuals
51mRead
November 10, 2026Updated
AI Agents E-Commerce Industry Statistics
Priyanka SharmaWritten by Priyanka Sharma·Edited by David Sutherland·Fact-checked by Abigail Foster
Published ·Updated
How this report is researched
01Editorial Scope

Gitnux editors write the brief first: the topic, the inclusion rules, and the frame for what belongs.

02Source Research

Agents search the published record and log every extracted figure back to the passage it came from.

Read our full methodology →

Search agents attach provenance to every extracted figure.

Next review: within 39 days

01 Industry overview

The ai agents e commerce industry at a glance

The global agentic commerce market was valued at $5.7 billion in 2025 and is entering rapid expansion as AI assistants increasingly discover products, compare offers and complete purchases for consumers.

$5.7B[62]
Global market size, 2025
35.7%[62]
Forecast CAGR, 2026–2033
73%[48]
Shoppers using AI, 2025
16%[63]
AI shopping-assistant adoption, 2026
Market size
The global agentic commerce market was valued at $5.7 billion in 2025 and is estimated at $7.7 billion in 2026. The market includes AI systems that support or execute commerce activities such as product discovery, recommendations, checkout and post-purchase service.[62]
Forecast & CAGR
Grand View Research forecasts growth from $7.7 billion in 2026 to $65.5 billion in 2033, representing a 35.7% CAGR. Juniper Research separately forecasts 120 billion agentic-commerce transactions globally in 2031, up from approximately 620 million in 2026.[62][64]
Market share & regions
The U.S. remains the best-documented early market: L.E.K. estimates that agentic commerce represented 0.4% of U.S. e-commerce in 2025 and forecasts the share to reach 8.8% by 2029. Google’s 2026 merchant rollout covered Australia, Canada, India, New Zealand and the United States, indicating expansion beyond North America.[65][23]
Segmentation
The industry spans consumer and business transactions: Juniper forecasts 120 billion annual agentic-commerce transactions across B2B and B2C use cases by 2031. Product and service capabilities are also segmented across discovery, comparison, cart construction, payments, fulfillment and post-purchase support; Google’s Universal Commerce Protocol explicitly covers the shopping journey from discovery and buying through post-purchase support.[64][23]
Trends, drivers & challenges
Adoption is being driven by conversational discovery, automated price monitoring, personalized recommendations and agent-led checkout. Key challenges include merchant integration, authorization and payment controls, product-data quality, fraud prevention, privacy and the need to maintain a verifiable record of agent actions.[23][27][66]
Consumer behavior & competition
Riskified reported that 73% of surveyed shoppers were already using AI somewhere in their shopping journey in 2025, although only 13% had completed a purchase after an AI-assistant referral; 70% were at least somewhat comfortable with an agent purchasing on their behalf. NIQ reported 16% adoption for AI-powered personal shopping assistants in the United States in 2026.[48][63]
M&A
Consolidation is emerging in AI product-discovery software: Zoovu announced the acquisition of XGEN AI on May 19, 2026, combining product search, merchandising and recommendation capabilities into a single AI-native e-commerce platform. The announcement did not disclose a transaction value.[67]
Regulation
The EU AI Act’s transparency requirements and enforcement began on August 2, 2026, while obligations for high-risk AI systems listed in Annex III are scheduled for December 2, 2027. For commerce agents, the framework increases the importance of transparency, AI literacy, governance, documentation and human oversight.[68][69]
Latest news
In September 2026, Google expanded agentic-commerce tools for retailers, making AI performance insights available in Australia, Canada, India, New Zealand and the United States and adding Business Agent capabilities for YouTube ads in a U.S. beta. Google’s Universal Cart, introduced in May 2026, connects shopping across Search, Gemini, YouTube and Gmail.[23]
report visual · Comparison

Share of AI shoppers using AI for shopping by product category (United States)

Technology products leads with 53%.

Technology products53%
Apparel/fashion53%
Beauty/personal care47%
Food/beverage45%
Household products43%
Media/entertainment43%
source-verifiediab.com

02 Ranking

Top 10 Companies in the Ai Agents E Commerce Industry

The leading companies in the ai agents e commerce industry, ranked on market impact, performance, momentum, innovation and brand popularity.

Updated November 10, 2026 · Next review December 10, 2026

Verdict

OpenAI leads Gitnux's 2026 ai agents e commerce ranking with an Overall score of 9.6, with Instant Checkout and Agentic Commerce Protocol support for shopping agents. Meta is the highest-ranked shopping agent research and comparison engine at 9.2, backed by revenue growth 22% and operating margin 41% plus Muse commerce agent features.

Ranked by Overall score · How we score ↓

Editor's top 3 picks

Where to start, by need.

  1. #1 Overall · Leader in agentic checkout

    OpenAI

    US

    Ranked #1 · 9.6 · Agentic checkout

    Why we picked it: It connects product discovery and checkout in ChatGPT, citing support for Instant Checkout and the Agentic Commerce Protocol.

    See in ranking ↓Visit openai.com ↗

  2. Leader in agentic product research

    Meta

    US

    Ranked #2 · 9.2 · Agentic product research

    Why we picked it: Muse researches products, compares prices, and supports shopping across commerce platforms; performance signals were revenue growth 22%.

    See in ranking ↓Visit meta.com ↗

  3. Leader in agentic payments

    Stripe

    US

    Ranked #3 · 9.2 · Agentic payments

    Why we picked it: It supports agent-led commerce infrastructure by co-developing the Agentic Commerce Protocol used for Instant Checkout.

    See in ranking ↓Visit stripe.com ↗

Pick 1 is the #1 company overall. Picks 2 and 3 are the highest-ranked companies in the top 5 that add a new segment.

Full ranking

Sort by
Top 10 companies in the ai agents e commerce industry, 2026 – Gitnux ranking
#CompanyOverall ↓Company snapshot
1

OpenAI

Agentic checkout · US

9.6
2

Meta

Agentic product research · US

9.2
3

Stripe

Agentic payments · US

9.2
4

Microsoft

Agentic checkout · US

9.1
5

Shopify

Merchant commerce · CA

9.0
6

Alphabet

Google Gemini and AI shopping infrastructure · US

9.0
7

Perplexity

AI product discovery and agentic shopping · US

8.8
8

Klaviyo

AI marketing and shopping agents for ecommerce · US

8.4
9

PayPal

Agentic payments and merchant discovery · US

7.8
10

Gorgias

AI customer-service agents for ecommerce · US

7.6

How we score

  • Impact (30%): scale and weight in the market (revenue, market share, employees, market position).
  • Performance (20%): recent revenue growth and operating margin; an analyst assessment where a company does not publish them.
  • Momentum (20%): growth trajectory and future potential.
  • Innovation (15%): R&D intensity and how technologically advanced the company is.

Popularity (brand search demand, 15%) counts toward Overall but is not published as a column. Overall leaves out what is not known.

Scale Scores are shown on a 7–10 scale with one decimal; bars start at 7.0.

Cadence Recalculated when new figures are published; next review December 10, 2026.

Independence. Rankings are editorially independent. Scores, ranks, picks and the verdict follow the method above; no company can pay to change them.

Cite this ranking

APA

Priyanka Sharma. (2026, February 13). Top 10 companies in the ai agents e commerce industry. In AI Agents E-Commerce Industry Statistics. Gitnux. https://gitnux.org/ai-agents-e-commerce-industry-statistics/#top-companies

04 Statistics

Technology & Innovation

Adoption shifts from exploration to production: 33% of e-commerce brands were preparing or deploying AI-agent plans in 2026, alongside 35% of enterprises reporting widespread agentic-AI deployment.

AI in the ai agents e commerce industry

  • 33% of e-commerce brands were actively preparing for AI-agent deployment, while 57% were exploring use cases, in research reported in 2026.[1]
  • 45% of B2C companies used AI-enabled or automated shopping experiences for 25% to 50% of online shopping journeys in 2025.[2]
  • 93% of e-commerce businesses said AI was important to their future success in BigCommerce’s March 2026 survey.[3]
  • 81% of U.S. consumers surveyed in July 2025 expected to shop using agentic AI.[4]
  • 77% of larger retail and consumer packaged goods companies prioritized AI-agent use cases in NVIDIA’s 2026 survey.[5]
  • 200% year-over-year growth in agentic search as the first step of the shopping journey was recorded across 37 countries from Q1 2024 to Q1 2026.[6]

Automation in the ai agents e commerce industry

  • 35% of enterprises reported widespread agentic-AI deployment in November 2026, with observability workloads cited as a major operational issue.[7]
  • 71% of retailers expected agentic AI to improve operational efficiency within the following year in a 2025 Fluent Commerce survey.[7]
  • 95% of AI-driven traffic came from retail and e-commerce, streaming and media, and travel and hospitality sectors in HUMAN’s 2025 benchmark.[8]
  • 28% of enterprise merchants already had solutions to accept agentic-AI payments, compared with 12% of mid-market and small-business merchants, in 2026.[9]
  • 9.5 times was the average increase in telemetry data that enterprises expected from agentic-AI workloads over the following two years in 2026.[7]
  • 63% of e-commerce merchants were exploring or implementing systems to process agentic-AI payments in 2026.[9]

Digital Transformation in the retail and e-commerce sector (sector benchmark)

  • Among EU large businesses, 96% reached at least a basic level of digital intensity in 2025.[10]
  • Across EU businesses, 74% reached at least a basic level of digital intensity in 2024.[10]
  • Across retail and consumer-goods companies, 70% of business functions had generative AI adopted or piloted in 2025.[11]
  • Among EU small and medium-sized enterprises, 71% reached at least a basic level of digital intensity in 2025.[10]

Technology Adoption in the retail and e-commerce sector (sector benchmark)

  • Across US and European retailers, 27% had fully scaled cameras and sensors in 2025.[12]
  • Across US and European retailers, 66% had moved beyond exploration and testing of store-intelligence technologies in 2025.[12]
  • Across US and European retailers, 21% had fully scaled edge computing technologies in 2025.[12]
  • Across US and European retailers, 16% had fully scaled artificial intelligence in 2025.[12]
  • Across US and European retailers, 23% had fully scaled wireless communication technologies such as RFID or Bluetooth in 2025.[12]

Cloud Computing in the retail and e-commerce sector (sector benchmark)

  • Across EU enterprises using paid cloud services, 45.52% hosted enterprise databases in the cloud in 2025.[10]
  • Across EU enterprises using paid cloud services, 85.15% used cloud-based email in 2025.[10]
  • Across EU enterprises using paid cloud services, 71.69% used cloud-based office software in 2025.[10]
  • Across EU enterprises, 52.74% used paid cloud-computing services in 2025.[10]
  • Across EU enterprises using paid cloud services, 71.53% used cloud-based file storage in 2025.[10]

Big Data in the retail and e-commerce sector (sector benchmark)

  • Across EU enterprises, 33.02% performed data analytics using their own employees in 2025.[10]
  • Across EU enterprises, 26.20% performed data analytics on transaction records such as sales and payment records in 2025.[10]
  • Across retail companies, 23% were using artificial intelligence in production to resolve customer identities or prepare customer data for marketing or analytics in 2025.[13]
  • Across retail companies, 64% said their customer data was structured and accessible enough to support artificial-intelligence use cases in 2025.[13]

05 Statistics

Data & Analytics

Data quality and measurement define practical rollout. In 2024, 66% flagged data-quality controls as a challenge, and 90% of surveyed retailers saw AI-driven visits but could not consistently track to completed purchases.

Business intelligence in the ai agents e commerce industry

  • 81% of retailers said inefficient processes and technology drained store-associate productivity in 2025.[6]
  • 37% of retail and CPG executives said their organization had launched more than 10 AI agents in production in 2025.[14]
  • 39% of retail and CPG organizations using agentic AI deployed agents for quality control in 2025, globally.[14]
  • 86% of retailers had unified-commerce initiatives underway in 2025, creating connected data foundations for AI-enabled commerce.[6]
  • 38% of retail and CPG organizations using agentic AI deployed agents for supply-chain and logistics activities in 2025, globally.[14]
  • 50% was the maximum estimated ROI uplift on digital-media spending from first-party data collected through owned agents in 2026.[15]

Data analytics in the ai agents e commerce industry

  • 33% of global consumers used AI assistants to look for product reviews in 2026, according to IBM’s global commerce study.[16]
  • 31% of global consumers used AI assistants to find deals in 2026, according to IBM’s global commerce study.[16]
  • 87% of Indian AI users trusted AI chat and search tools for shopping in June 2026, the highest rate reported by McKinsey.[17]
  • 41% of global consumers used AI assistants to research products in 2026, according to IBM’s global commerce study.[16]
  • 48% of US consumers had used AI for shopping in the three months before McKinsey’s June 2026 survey.[17]
  • 62% was the increase in global consumer use of AI applications over the two years to 2026, according to IBM’s study.[16]

Data Quality in the retail and e-commerce sector (sector benchmark)

  • Across retail and e-commerce, 29% of respondents rated their customer-data collection methods not very effective in 2024.[18]
  • Across retail and e-commerce, 66% of respondents identified data-quality controls as a significant challenge in 2024.[18]
  • Across retail and e-commerce, 66% of respondents rated their identity-resolution ability only somewhat effective in 2024.[18]
  • Across retail and e-commerce, 48% of respondents rated their customer-data collection methods only somewhat effective in 2024.[18]
  • Across retail and e-commerce, 62% of respondents rated their data-management practices only somewhat effective in 2024.[18]

Data Governance in the retail and e-commerce sector (sector benchmark)

  • Across retail and e-commerce, 57% of respondents identified data governance as a significant challenge in 2024.[18]
  • Across retail and consumer-products companies, 53.5% of respondents said regulatory compliance was not a significant data challenge in 2025.[19]
  • Across retail and consumer-products companies, 96% of respondents said breaking down data silos was a significant challenge in 2025.[19]
  • Across retail and consumer-products companies, 66% of respondents said their data-management capabilities were only somewhat unified in 2025.[19]
  • Across retail and CPG companies, 35% of respondents cited inconsistent or incorrect answers to data questions as a governance-related blocker in 2025.[20]
  • Across retail and CPG companies, 31% of respondents cited the lack of a corporate data strategy and semantic layer as a key challenge in 2025.[20]

KPIs in the ai agents e commerce industry

  • 49% of shoppers had abandoned purchases because of ordering-process friction in 2025, according to Salesforce.[6]
  • 27% of consumers expected AI agents to be a shopping channel in 2026, rising to 40% in five years, according to Worldpay.[21]
  • 17% was consumers’ expected AI-agent share of purchases in five years in 2026, according to Worldpay.[21]
  • 17% of US AI users had completed a purchase directly with an AI tool in June 2026, up from 10% in December 2025.[17]
  • 25% of Chinese consumers’ purchases were expected to go through AI agents in five years in 2026, according to Worldpay.[21]
  • 15% of Chinese consumers’ purchases were expected to go through AI agents currently in 2026, according to Worldpay.[21]

06 Statistics

Strategy & Growth

Commerce impact is measured during live journeys, not pilots. For example, Amazon’s AI assistant drove 60% more likely purchase during shopping trips, with 210% year-over-year interaction growth for Rufus.

Growth in the ai agents e commerce industry

  • 60% was the increase in purchase likelihood during a shopping trip for customers using Amazon’s AI shopping assistant.[22]
  • 210% was the year-over-year increase in interactions with Amazon’s Rufus shopping assistant.[22]
  • 11.5% is the modeled increase in U.S. e-commerce sales above baseline forecasts by 2030 if agentic-commerce adoption becomes widespread.[17]
  • $900 billion to $1 trillion could be the U.S. B2C retail revenue opportunity orchestrated by agentic commerce by 2030.[17]
  • 149% was the year-over-year increase in monthly average users of Amazon’s Rufus shopping assistant.[22]
  • $12 billion in incremental sales were attributed to Amazon’s AI shopping assistant in the year before its AWS retailer offering was announced.[22]

Differentiation in the ai agents e commerce industry

  • 60% more likely to purchase were customers using Amazon’s AI assistant during a shopping trip than customers who did not use it.[22]
  • 50 billion products were available in Google’s Shopping Graph for AI-assisted discovery and comparison.[23]
  • 25% higher average order values were reported for Shopify stores using AI-driven personalization.[24]
  • 35-plus product categories were covered by Amazon’s AI shopping assistant’s product knowledge graph and recommendations.[22]
  • 2 billion products in Google’s Shopping Graph received hourly updates, supporting real-time availability and pricing differentiation.[23]
  • 19% lower return rates were reported for Shopify stores using AI-driven personalization.[24]

Mergers and acquisitions in the ai agents e commerce industry

  • 74 of 144 companies selected for Mastercard’s 2025 accelerator were building agentic-AI solutions.[24]
  • 26% of all listed commerce-solution deal activity in 2025 was attributed to generative-engine-optimization startups.[25]
  • 19 add-on transactions were recorded in the e-commerce sector in 2025.[26]
  • 67 strategic-buyer transactions were recorded in the e-commerce sector in 2025, a 26.4% year-over-year increase.[26]
  • 11 platform deals were recorded in the e-commerce sector in 2025, down 15.4% year over year.[26]
  • 30 deals were captured by generative-engine-optimization startups year to date in 2025.[25]

Strategic partnerships in the ai agents e commerce industry

  • 5% was the average month-after adoption conversion lift reported for merchants implementing Google Merchant Center feed best practices.[23]
  • 30 generative-engine-optimization startup deals were recorded year to date in 2025, reflecting partnership and ecosystem formation around agentic commerce.[25]
  • 26% of listed commerce-solution deal activity in 2025 involved generative-engine-optimization startups.[25]
  • 300 million customers had validated Amazon’s Alexa for Shopping experience, according to Amazon’s AWS announcement.[22]
  • More than 1 million Shopify merchants were identified as coming to OpenAI’s Instant Checkout, alongside Etsy sellers.[27]
  • 3 major AI-sector acquisitions in the first quarter of 2025 involved companies offering enterprise AI-agent technology.[24]

07 Statistics

People & Workforce

Workload and change management affect operational readiness. Across U.S. employees, 43% reported organizational change increased stress levels in 2025, and Gartner found HR leaders reporting fatigue from change at 73% in 2025.

Remote Work in the retail and e-commerce sector (sector benchmark)

  • Across U.S. retail trade, employees worked from home for 14.02% of full paid working days in 2025.[28]
  • Across U.S. retail trade, employees worked from home for 14.03% of full paid working days in 2023.[28]
  • Across U.S. retail trade, employees worked from home for 13.46% of full paid working days in 2024.[28]
  • Across U.S. retail trade, employees worked from home for 15.14% of full paid working days in 2022.[28]
  • Across U.S. retail trade, employees worked from home for 14.09% of full paid working days in 2026.[28]

Hybrid Work in the retail and e-commerce sector (sector benchmark)

  • Across retail organizations globally, 55% of employees worked from the office five days per week in 2025.[29]
  • Across U.K. employers, 65% required hybrid employees to attend the workplace a minimum number of days in 2025.[30]
  • Across retail organizations globally, 42% used mandated office days as their hybrid-work model in 2025.[29]
  • Across U.K. employers, 42% had a formal hybrid-working policy in 2025.[30]
  • Across U.K. employers, 74% had hybrid working in place in 2025.[30]

Employee Engagement in the retail and e-commerce sector (sector benchmark)

  • Across retail employees, 84% would recommend their company as a great place to work in Culture Amp’s 2024 dataset.[31]
  • Across U.S. retail workers, 24% were promoters of their organizations in Seramount’s spring 2025 survey.[31]
  • Across retail employees, 71% agreed their company contributed to their learning and development in Culture Amp’s 2024 dataset.[31]
  • Across U.S. retail workers, 24% reported one or more symptoms of burnout in Seramount’s spring 2025 survey.[31]
  • Across U.S. retail workers, 35% rated their personal well-being above average in Seramount’s spring 2025 survey.[31]

Change Management in the retail and e-commerce sector (sector benchmark)

  • Across U.S. employees, 43% said organizational change during the prior year increased their stress levels in the 2025 Eagle Hill survey.[32]
  • Across U.S. CHROs, 30% ranked organization design and change management among their top three HR priorities for 2025.[33]
  • Across organizations surveyed by Gartner, 73% of HR leaders said employees were fatigued from change in 2025.[33]
  • Across organizations surveyed by Gartner, 74% of HR leaders said managers were not equipped to lead change in 2025.[33]
  • Across U.S. employees, 45% said organizational change during the prior year increased their workload in the 2025 Eagle Hill survey.[32]

08 Statistics

Customer & Sales

Delegation appetite is real, but friction still blocks conversion. In 2025, 74% of shoppers trusted recommendations from AI agents or agentic search, while 49% abandoned purchases because of ordering-process friction.

Customer experience in the ai agents e commerce industry

  • 17.0% of retail and e-commerce practitioners said AI’s biggest customer-service impact in 2025 was improving service quality.[34]
  • 86% of commerce leaders said AI was raising customer expectations in 2026, while 61% said meeting those expectations had become harder.[6]
  • 45% of global consumers used AI during part of the buying journey in 2026, including product research, review interpretation or deal hunting.[16]
  • 49% of shoppers abandoned purchases because of friction in the ordering process, according to Salesforce’s global retail survey conducted in 2024.[6]
  • 31.9% of retail and e-commerce practitioners identified reducing agent workload as AI’s biggest customer-service impact in 2025.[34]

Customer retention in the ai agents e commerce industry

  • 11% of retailers’ gross merchandise value was attributed to loyalty and personalization programs in 2026, rising to 15% among top-quartile retailers.[15]
  • 74% of shoppers trusted recommendations from AI agents or agentic search in Salesforce’s 2026 retail analysis.[6]
  • 49% of U.S. shoppers said they would delegate loyalty management to an AI agent in 2026.[35]
  • 63% of Gen Z shoppers were interested in AI agents purchasing items on their behalf in Salesforce’s global retail survey.[6]
  • 15% of top-quartile retailers’ gross merchandise value was attributed to loyalty and personalization programs in 2026.[15]

Customer acquisition in the ai agents e commerce industry

  • 23% of retail traffic came from new marketplace customers on average in 2026 across the surveyed retailers.[15]
  • 30% of retail traffic came from new marketplace customers on average in 2026 among the top-quartile retailers.[15]
  • External-agent referrals could reach 5% of leading European retail website visits by the end of 2026, based on BCG’s growth analysis.[15]
  • External-agent referrals accounted for less than 1% of leading European retail websites’ visits in late 2025.[15]
  • AI-driven traffic could overtake organic-search traffic in the United States as early as 2028, according to BCG’s 2026 retail analysis.[15]

Customer loyalty in the ai agents e commerce industry

  • 19% of U.S. retail and consumer-brand executives expected loyalty programs to lose value as AI shopping expanded in 2026.[36]
  • 6% of retailers blocked external AI agents from accessing their data in BCG’s 2026 global-retail survey.[15]
  • 52% of U.S. retail and consumer-brand executives expected loyalty programs to gain value from AI shopping in 2026.[36]
  • 11% of surveyed retailers’ gross merchandise value came from loyalty and personalization programs on average in 2026.[15]
  • 32% of retailers selectively gave chosen external agents access to product data in 2026, preserving more control over customer relationships.[15]

Lead generation in the ai agents e commerce industry

  • 28% of commerce organizations were already using agentic AI in 2026, while 44% planned adoption within six months.[6]
  • 86% of commerce leaders said large language models would be essential to product discovery within a year in Salesforce’s 2026 survey.[6]
  • 64% of consumers in the United States, United Kingdom and Germany found it appealing for an AI agent to suggest unfamiliar brands in 2026.[37]
  • 31% of global consumers used AI assistants to find shopping deals in 2026.[16]
  • 41% of global consumers used AI assistants to research products in the 2026 IBM-NRF commerce study.[16]

09 Statistics

Marketing & Brand

Merchandising and retail media planning move early into agentic workflows. In 2026, 43% of retailers were piloting autonomous AI agents for merchandising and marketing, while 95% viewed retail media as future profit growth.

Marketing in the ai agents e commerce industry

  • 43% of retailers were already piloting autonomous AI agents for merchandising and marketing in 2026.[15]
  • 95% of surveyed retailers viewed retail media as a major source of future profit growth in BCG’s 2026 study.[15]
  • 40% of retailers with upgraded retail-media capabilities reported higher retail-media pricing in 2026.[15]
  • 55% of retailers with upgraded retail-media capabilities reported additional demand from third-party sellers in 2026.[15]
  • 65% of retailers that upgraded retail-media capabilities reported better campaign performance in 2026.[15]

Digital marketing in the ai agents e commerce industry

  • 35% of commerce organizations were prioritizing scaling agentic AI across functions in 2026.[6]
  • 15% was the decline in traditional-search product discovery between August 2025 and May 2026 among surveyed shoppers.[6]
  • 7% was the decline in product discovery through brand-owned properties between August 2025 and May 2026.[6]
  • 4% of commerce organizations remained focused only on piloting agentic AI in 2026.[6]
  • 58% of retailers planned to provide real-time product availability to AI agents within two years in 2026.[15]

Branding in the ai agents e commerce industry

  • 51% of U.S. retail and consumer-brand executives expected brand advertising to improve performance in AI shopping in 2026.[36]
  • 35% of U.S. retail and consumer-brand executives expected email and CRM to improve brand performance in AI shopping in 2026.[36]
  • 75% of U.S. retail and consumer-brand executives expected conversational and multimodal shopping to improve brand performance in 2026.[36]
  • 67% of U.S. retail and consumer-brand executives expected promotions, coupons and price to improve brand performance in AI shopping in 2026.[36]
  • 72% of U.S. retail and consumer-brand executives expected customer reviews and ratings to improve brand performance in AI shopping in 2026.[36]

Social media in the ai agents e commerce industry

  • 38% of consumers increased use of AI assistants, social-media AI and delivery apps for product discovery between August 2025 and May 2026.[6]
  • 50% of U.S. retail and consumer-brand executives expected social and influencer marketing to gain value from AI shopping in 2026.[36]
  • 53% of shoppers discovered products on social platforms in Salesforce’s global retail survey, up from 46% in 2023.[6]
  • 13% of U.S. adults purchased products from an influencer’s social-media page in Horowitz Research’s 2025 study.[38]
  • 39% of U.S. retail and consumer-brand executives expected social and influencer marketing to lose value as AI shopping expanded in 2026.[36]

Influencer Marketing in the retail and e-commerce sector (sector benchmark)

  • 49% of brands investing in creator marketing reported sales as an impact of creator activity in 2026, compared with 60% citing brand sentiment and 58% citing awareness.[39]
  • 58% of brands integrated retail media networks and creator marketing platforms by amplifying creator-generated content on retail media channels in 2025.[39]
  • 80% of brands investing in creator marketing increased creator budgets in 2026, while 25% raised creator spending by more than 10%.[39]
  • 91% of brands investing in creator marketing ran an always-on component in 2026, including 62% with hybrid programs and 29% with fully continuous programs.[39]
  • 78% of surveyed brands reported growing creator-marketing budgets in 2025, up from 36% reporting budget growth in 2024.[39]

10 Statistics

Operations & Execution

Operationalization focuses on automation and oversight. In 2026, 82% of ecommerce leaders expected AI investment to increase, while 43% required human-in-the-loop oversight for AI agents.

Process optimization in the ai agents e commerce industry

  • 25% of retail and CPG organizations using agentic AI deploy agents for store operations in 2025.[14]
  • 26% of retail and CPG organizations using agentic AI deploy agents for production planning in 2025.[14]
  • 22% of retail and CPG organizations using agentic AI deploy agents for omnichannel operations in 2025.[14]
  • 53% of businesses using AI agents apply them to data processing, according to a 2025 operations survey.[40]
  • 17% of retail and CPG organizations using agentic AI deploy agents for Kaizen or continuous improvement in 2025.[14]

Operational efficiency in the ai agents e commerce industry

  • 82% of ecommerce leaders expected AI investment to increase during the next 12–18 months in 2026.[41]
  • 52% of businesses using AI agents report transformational impact from process automation in 2025.[40]
  • 71% of retailers expected agentic AI to improve operational efficiency by the end of 2026, while 12% already reported a strong impact in 2025.[42]
  • 70% of retailers were piloting or had partially implemented agentic AI systems in 2025.[42]
  • 57% of retail and CPG executives cited increasing process speed and efficiency as an AI objective in 2026.[5]

Quality management in the ai agents e commerce industry

  • 56% of ecommerce leaders cited data trust and quality issues as their top challenge in 2026.[41]
  • 82% of ecommerce leaders said unified business context was critical for AI-agent adoption in 2026.[41]
  • 43% of ecommerce leaders required human-in-the-loop oversight for AI agents in 2026.[41]
  • 46% of ecommerce leaders said their data was not actionable in 2026.[41]
  • 53% of ecommerce leaders required security and compliance for AI-agent adoption in 2026.[41]

Supply chain in the ai agents e commerce industry

  • 24% of retail and CPG organizations using agentic AI deploy agents for warehouse fulfillment and order processing in 2025.[14]
  • 30% of retail and CPG organizations using agentic AI deploy agents for logistics in 2025.[14]
  • 17% of retail and CPG organizations using agentic AI reported ROI from supply-chain planning agents in 2025.[14]
  • 30% of retail and CPG organizations using agentic AI deploy agents for supply-chain planning in 2025.[14]
  • 17% of retail and CPG organizations using agentic AI reported ROI from logistics agents in 2025.[14]

Outsourcing / Offshoring in the retail and e-commerce sector (sector benchmark)

  • 76% of retail organizations with $150 million–$200 million in revenue outsourced some or all fulfillment in 2025.[43]
  • 72% of retail organizations with $100 million–$150 million in revenue outsourced some or all fulfillment in 2025.[43]
  • 57% of retail organizations with $50 million–$100 million in revenue outsourced some or all fulfillment in 2025.[43]
  • Among U.S. apparel imports, China’s share fell from 30% in 2019 to 21% in 2023, while other Asian suppliers’ share rose from 30% to 35%.[17]
  • 74% of retailers surveyed sourced internationally, including 71% of small companies and 84% of larger companies, in 2024.[44]

11 Statistics

Finance & Pricing

Budgets shift toward AI as ROI proof accumulates. In 2026, 80% of ecommerce leaders were ready to shift budget from agencies to AI, while field trials show 10.0% higher revenue per visitor for Javo.

Pricing strategy in the ai agents e commerce industry

  • 19% of ecommerce leaders ranked product-detail-page and content optimization among their top AI investment priorities for 2026.[41]
  • 21% of retail and CPG organizations using agentic AI deploy merchant-planning agents in 2025.[14]
  • 15% of retail and CPG organizations using agentic AI deploy assortment agents in 2025.[14]
  • 7% of U.S. merchants still in early agentic-commerce stages expected AI agents to handle digital sales within two years in 2026.[45]
  • 28% of agent-ready U.S. merchants expected AI agents to handle digital sales within two years in 2026.[45]

Cost reduction in the ai agents e commerce industry

  • Under 1% of AI-shopping-assistant-influenced revenue used discount codes in Gorgias merchant data in 2026.[46]
  • 44% of businesses cited cost as a concern when implementing AI agents in 2025.[40]
  • 1.8% of the cost per conversation was incurred by the Javo sales agent compared with human associates in a 2026 ecommerce field trial.[47]
  • 80% of ecommerce leaders were ready to shift budget from agencies to AI in 2026.[41]
  • 40% of ecommerce teams cited slow agency response times as a problem in 2026.[41]

Profitability in the ai agents e commerce industry

  • 47% higher average order value was recorded for AI-shopping-assistant-influenced orders in 2026.[46]
  • 10.0% higher revenue per visitor resulted from Javo versus no agent in a 2026 randomized ecommerce field trial.[47]
  • 1.9% of online revenue was influenced by AI shopping assistants among Gorgias merchants in 2026.[46]
  • 4% of online revenue was influenced by AI shopping assistants in considered-purchase categories in 2026.[46]
  • 25% of retail and CPG organizations using agentic AI reported ROI from product-innovation and design agents in 2025.[14]

Financial planning in the ai agents e commerce industry

  • 90% of U.S. merchants observed at least one AI-shopping signal during the prior 12 months in 2026.[45]
  • 40% of ecommerce leaders said they had too much data to process in 2026.[41]
  • 15% of retail and CPG organizations using agentic AI reported ROI from finance and accounting agents in 2025.[14]
  • 13% of digital sales was the average share U.S. merchants expected AI agents to complete within two years in 2026.[45]
  • 71% of ecommerce leaders were already familiar with or actively using AI agents in 2026.[41]

12 Statistics

Product & Service

Agent use concentrates on discovery and post-purchase experience. In 2025, 96% of AI-shopping consumers used AI for product discovery, and 24% used AI for purchasing products.

Product development in the ai agents e commerce industry

  • 25% of retail and CPG organizations using agentic AI report ROI from product innovation and design agents in 2025, globally.[14]
  • 35% of retail and CPG organizations using agentic AI deploy agents for product innovation and design in 2025, globally.[14]
  • 26% of retail and CPG organizations using agentic AI deploy agents for production planning in 2025, globally.[14]
  • 30% of retail and CPG organizations using agentic AI deploy agents for software development in 2025, globally.[14]
  • 11% of retail and CPG organizations using agentic AI report ROI from production-planning agents in 2025, globally.[14]

Product lifecycle in the ai agents e commerce industry

  • 3%–10% revenue growth was reported by CPG companies testing owned agents and ecosystem integration in 2026.[15]
  • 4% of consumers would let an AI agent complete a purchase alone in 2025, according to BCG’s global consumer research.[15]
  • 41% of CPG companies had begun developing agentic-AI capabilities in 2026, while 59% reported no meaningful capabilities.[15]
  • 96% of AI-shopping consumers use AI for product discovery in 2025, according to BCG’s global consumer research.[15]
  • 24% of AI-shopping consumers use AI for purchasing products in 2025, according to BCG’s global consumer research.[15]

After-sales in the ai agents e commerce industry

  • 47% of retail and CPG organizations using agentic AI deploy agents for customer service and experience in 2025, globally.[14]
  • 31.9% of retail companies identified reducing agent workload as AI’s biggest customer-service impact in 2025.[34]
  • 33% of retail and CPG organizations using agentic AI report ROI from customer-service and experience agents in 2025, globally.[14]
  • 58% of global consumers were likely to use AI shopping tools for gift shopping in 2025, according to Riskified’s survey.[48]
  • 17.0% of retail companies identified improving service quality as AI’s biggest customer-service impact in 2025.[34]

Value proposition in the ai agents e commerce industry

  • 63% of Gen Z shoppers were interested in agents purchasing items on their behalf in 2025, according to Salesforce.[6]
  • 81% of US consumers expected to shop using agentic AI in 2025, according to BCG’s consumer survey.[4]
  • 70% of global shoppers were at least somewhat comfortable with an AI agent making purchases for them in 2025.[48]
  • 32% of global shoppers used AI to compare prices in 2025, according to Riskified’s survey.[48]
  • 39% of shoppers used AI for product discovery in 2025, rising to 54% among Gen Z shoppers, according to Salesforce.[6]

13 Statistics

Sustainability & Ethics

Consumer verification and privacy control shape trust requirements. In late 2025, 54% of U.S. consumers who used AI while shopping said they had to double-check accuracy.

Ethics in the ai agents e commerce industry

  • 54% of U.S. consumers who used AI while shopping said they had to double-check the accuracy of all information provided by generative AI tools in late 2025.[49]
  • 71% of U.S. marketers said establishing ethical and privacy standards should be the top priority for delegated AI-agent shopping in an October 2025 survey.[37]
  • 72% of surveyed consumers said it was very important to control or delete how an AI shopping agent uses their data in 2025.[50]
  • 40% of surveyed consumers in the United States, Australia and New Zealand cited transparency as a concern about AI shopping agents in 2025.[50]
  • 37% of surveyed consumers in the United States, Australia and New Zealand cited lack of human oversight as a concern about AI shopping agents in 2025.[50]

15 Statistics

Globalization & Expansion

Regional expansion accelerates integration scope. Google’s 2026 merchant rollout covered Australia, Canada, India, New Zealand, and the United States, while 120 billion annual agentic-commerce transactions are forecast globally by 2031.

Globalization in the ai agents e commerce industry

  • 70% of global shoppers said they were at least somewhat comfortable with an AI agent making purchases on their behalf.[48]
  • 31% of consumers globally use AI assistants to find shopping deals.[16]
  • 64% of consumers expected to use AI shopping agents within two years in a global digital-shopping survey.[45]
  • $3 trillion to $5 trillion in global goods revenue could be orchestrated by agentic commerce by 2030, according to McKinsey research.[17]
  • 62% was the increase in global consumer use of AI applications such as ChatGPT, Gemini and other chatbots over the previous two years.[16]

Cultural adaptation in the ai agents e commerce industry

  • 57% of Gen Z consumers in the United States had adopted AI for shopping, according to McKinsey’s cross-market analysis.[17]
  • 92% of U.S. adults aged 18 to 44 expected to use agentic AI for shopping.[4]
  • 92% was the increase in AI-application use among Boomers globally over the previous two years.[16]
  • 88% of U.S. consumers earning more than $150,000 expected to shop using agentic AI.[4]
  • 82% was the increase in AI-application use among Gen X consumers globally over the previous two years.[16]

Supplier management in the ai agents e commerce industry

  • 64% of surveyed retailers were already using AI for fraud detection and cybersecurity, relevant to supplier and marketplace transaction controls.[61]
  • 48% of surveyed retailers were already using AI for pricing and promotions optimization.[61]
  • 38% of surveyed retailers were already using AI for demand planning and forecasting, with another 32% planning use within 12 months.[61]
  • 30% of surveyed retailers were already using AI for supply-chain visibility, while 41% expected to use it within the following 12 to 24 months.[61]

Stakeholder management in the ai agents e commerce industry

  • 90% of surveyed U.S. merchants already saw signs of AI shopping, but none could consistently track AI-driven visits through to completed purchases on their own sites or apps.[45]
  • 68% of surveyed retailers expected to deploy agentic AI for key operational or enterprise activities within 12 to 24 months.[61]
  • 13% of shoppers globally had completed a purchase after being referred by an AI assistant.[48]
  • 7% of surveyed U.S. merchants had no defined strategy for AI shopping.[45]
  • 70% of shoppers globally were at least somewhat comfortable with an AI agent making purchases on their behalf, indicating broad consumer acceptance of delegated commerce.[48]

Distribution channels in the ai agents e commerce industry

  • 5% was the average increase in conversions the following month for merchants adopting Google Merchant Center feed best practices.[23]
  • 93% of consumers expected to use retail marketplaces at least as much as before as agentic commerce expanded.[7]
  • 4,700% was the year-over-year increase in traffic from AI platforms to U.S. e-commerce sites in July 2025.[25]
  • 2 billion product listings in Google’s Shopping Graph were updated every hour.[23]
  • 15% to 20% of total referrals for some retailers came from ChatGPT and other AI-chat platforms, according to Deloitte’s global retail outlook.[61]

Key questions about the ai agents e commerce industry

How big is the agentic commerce market in 2026?
The global agentic commerce market is estimated at $7.7 billion in 2026, after $5.7 billion in 2025.
How fast is agentic commerce expected to grow from 2026?
Grand View Research forecasts growth from $7.7 billion in 2026 to $65.5 billion in 2033, at a 35.7% CAGR (2026–2033).
Which companies lead the ai agents e commerce industry?
OpenAI leads Gitnux's 2026 ai agents e commerce ranking with an Overall score of 9.6, with Instant Checkout and Agentic Commerce Protocol support for shopping agents. Meta is the highest-ranked shopping agent research and comparison engine at 9.2, backed by revenue growth 22% and operating margin 41% plus Muse commerce agent features.
What technology shift is most visible in 2026 deployments?
Telemetry and observability are becoming operational constraints: 35% of enterprises reported widespread agentic-AI deployment in November 2026, with observability workloads cited as a major issue.
How is the market structured across the shopping journey?
Capabilities span discovery, comparison, cart construction, payments, fulfillment, and post-purchase support; Google’s Universal Commerce Protocol explicitly covers the journey from discovery through post-purchase support.
What limits adoption most often in agentic checkout workflows?
Trust is cited as an adoption bottleneck, and consumers still show low completion rates after referrals: 13% completed a purchase after an AI-assistant referral in 2025.
Reference

Cite This Report

This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.

APA
Priyanka Sharma. (2026, February 13). AI Agents E-Commerce Industry Statistics. Gitnux. https://gitnux.org/ai-agents-e-commerce-industry-statistics
MLA
Priyanka Sharma. "AI Agents E-Commerce Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/ai-agents-e-commerce-industry-statistics.
Chicago
Priyanka Sharma. 2026. "AI Agents E-Commerce Industry Statistics." Gitnux. https://gitnux.org/ai-agents-e-commerce-industry-statistics.

Sources & references

80 sources cited across this report

  1. digit.fyi
  2. go.algolia.com
  3. bigcommerce.com
  4. web-assets.bcg.com
  5. resources.nvidia.com
  6. salesforce.com
  7. techradar.com
  8. humansecurity.com
  9. info.merchantriskcouncil.org
  10. ec.europa.eu
  11. databricks.com
  12. 44417324.fs1.hubspotusercontent-na1.net
  13. downloads.ctfassets.net
  14. telana.com
  15. bcg.com
  16. ibm.com
  17. mckinsey.com
  18. eco-cdn.iqpc.com
  19. informatica.com
  20. assets.contentstack.io
  21. worldpay.com
  22. aboutamazon.com
  23. blog.google
  24. view.ceros.com
  25. cbinsights.com
  26. capstonepartners.com
  27. openai.com
  28. fred.stlouisfed.org
  29. newsroom.cisco.com
  30. cipd.org
  31. seramount.com
  32. eaglehillconsulting.com
  33. shrm.org
  34. freshworks.com
  35. visaacceptance.com
  36. hfsresearch.com
  37. emarketer.com
  38. tvtechnology.com
  39. spiegel.medill.northwestern.edu
  40. glideapps.com
  41. commerceiq.ai
  42. fluentcommerce.com
  43. radial.com
  44. cdn.asp.events
  45. pymnts.com
  46. gorgias.com
  47. arxiv.org
  48. nasdaq.com
  49. gartner.com
  50. corporate.visa.com
  51. itpro.com
  52. vasu.global
  53. wtwco.com
  54. gov.uk
  55. cpl.thalesgroup.com
  56. sophos.com
  57. lp.kaspersky.com
  58. levelblue.com
  59. iab.com
  60. hypr.com
  61. deloitte.com
  62. grandviewresearch.com
  63. investors.nielseniq.com
  64. juniperresearch.com
  65. lek.com
  66. jpmorgan.com
  67. zoovu.com
  68. ai-act-service-desk.ec.europa.eu
  69. digital-strategy.ec.europa.eu
  70. about.fb.com
  71. stripe.com
  72. about.ads.microsoft.com
  73. s27.q4cdn.com
  74. evals.gorgias.com
  75. investor.pypl.com
  76. ir.riskified.com
  77. attentive.com
  78. riskified.com
  79. apnews.com
  80. riskified.gcs-web.com