Agentic Commerce Market

The agentic commerce market reached an estimated USD 1,056 million in 2025 and is projected to climb to USD 13,881 million by 2032, expanding at a 44% CAGR from 2026 to 2032. This growth is driven by the most fundamental shift in how goods and services are discovered, compared, and purchased since the invention of the search engine: AI agents autonomously browse, evaluate, and buy products on behalf of consumers, enterprises, and machines. ChatGPT commands 900 million weekly active users, and its shopping experience expanded to all US users in February 2026, with over one million Shopify merchants in the onboarding pipeline. Amazon's Rufus AI assistant serves 300 million users and drove an estimated USD 12 billion in incremental sales in 2025. Google launched the Universal Commerce Protocol (UCP) at NRF 2026 with Shopify, Walmart, Target, Etsy, Wayfair, and over 20 partners. Perplexity's PayPal-powered shopping delivers instant purchasing within search results. Stripe shipped its Agentic Commerce Suite in December 2025. AI-referred traffic to US retail sites tripled year-over-year during 2025 Cyber Week and converted at 8x the rate of social media traffic. The shopping funnel as it has existed for 25 years—search, browse, compare, add to cart, checkout—is being collapsed into a single conversational interaction between a consumer and an AI agent that handles everything from discovery to payment.

Top 10 Key Takeaways

• North America is the largest regional market, concentrating the AI shopping agent platforms, commerce protocol developers, and deepest consumer AI adoption.
• Asia Pacific is the fastest-growing region, driven by mobile-first commerce, super-app agentic integration, and rapid Shopify/Google ecosystem expansion.
• AI shopping agent platforms (ChatGPT, Google AI Mode, Rufus, Perplexity) are the leading commerce layer by revenue influence, while commerce protocols (ACP, UCP, MCP) are the fastest-growing infrastructure category.
• Consumer AI shopping agents lead by transaction volume, while enterprise procurement agents are the fastest-growing agent type by platform revenue.
• The protocol wars—ACP (OpenAI/Stripe) vs. UCP (Google/Shopify) vs. Amazon proprietary vs. MCP (Anthropic, now under Linux Foundation)—are the infrastructure contest that will determine which agents can transact with which merchants.
• Products with complete Schema.org markup are 6.4x more likely to be selected by AI agents, making agent-ready product data the new SEO.
• Amazon's walled-garden strategy—blocking external AI crawlers, suing Perplexity for unauthorized purchases—creates a bifurcated market between open and closed agent ecosystems.
• Only 17% of consumers trust AI enough to complete a purchase, but those who do convert at 3x the rate of non-AI sessions (Rufus users).
• The near-term opportunity lies in merchant agent-readiness software, payment infrastructure for autonomous transactions, and enterprise agentic procurement.
• The near-term risk is brand commoditization: when AI agents reduce products to specs and price, brands that rely on storytelling and experience lose their competitive moat.

Why the Agentic Commerce Market Matters Now

For 25 years, e-commerce has worked the same way: a consumer types a query into a search engine or navigates to a retailer, scrolls through results, reads reviews, compares options, adds items to a cart, enters payment information, and completes checkout. Every dollar of the multi-trillion-dollar online retail economy flows through some version of this human-driven, click-by-click process. Agentic commerce replaces it. An AI agent receives a natural-language instruction—"find me a winter jacket under USD 200 with good reviews and fast shipping"—and autonomously discovers products across merchants, evaluates them against the buyer's criteria, selects the best option, and initiates or completes the purchase. The consumer reviews and confirms; the agent handles everything else.

The market covers the platforms, protocols, payment infrastructure, merchant-readiness software, and enterprise procurement tools that enable AI agents to discover, evaluate, negotiate, and purchase goods and services on behalf of humans and organizations. It includes AI shopping agent platforms (ChatGPT Shopping, Google AI Mode, Amazon Rufus, Perplexity, Walmart Sparky, Microsoft Copilot, Alexa+), commerce protocols (OpenAI/Stripe's ACP, Google/Shopify's UCP, Anthropic's MCP, Google's A2A, Visa TAP), payment rails for agentic transactions (Stripe Agentic Commerce Suite, PayPal Agent Payments, Adyen, Visa, Mastercard), merchant agent-readiness software (structured product feeds, Schema.org optimization, LLM-readable catalogs), and enterprise agentic procurement platforms (SaaS renewals, B2B reordering, invoice processing). Out of scope are traditional e-commerce platforms without agentic capabilities, conventional recommendation engines, and human-operated customer-service chatbots.

The market has three working forms in 2026. Consumer-side agents initiate purchases on behalf of individual users. Enterprise-side agents reorder office supplies, renew SaaS subscriptions, and pay invoices on behalf of companies. Machine-to-machine agents pay micro-amounts for API calls, compute, and data feeds using protocols designed for sub-cent transactions. The infrastructure layer connects them all: protocols that define how agents communicate with merchants, payment rails that authorize and settle autonomous transactions, and merchant-facing tools that make product catalogs readable by AI. This connects to the broader [INTERNAL LINK: e-commerce market], the [INTERNAL LINK: AI in retail market], the [INTERNAL LINK: digital payments market], and the [INTERNAL LINK: conversational AI market].

Market Trends Shaping Agentic Commerce

The defining trend is the protocol wars. Three competing commerce protocols are vying to become the standard for how AI agents transact with merchants. ACP (Agentic Commerce Protocol), backed by OpenAI and Stripe, launched in December 2025 with merchants including URBN (Anthropologie, Free People, Urban Outfitters), Coach, Kate Spade, Revolve, Ashley Furniture, and Etsy. UCP (Universal Commerce Protocol), backed by Google and co-developed with Shopify, launched at NRF 2026 with endorsement from Stripe, Visa, Mastercard, Adyen, American Express, Best Buy, Macy's, Home Depot, Walmart, Target, Etsy, Wayfair, and Zalando. MCP (Model Context Protocol), created by Anthropic and donated to the Linux Foundation's Agentic AI Foundation in December 2025, provides the agent-to-tool integration layer. Most merchants will need to support more than one protocol, and the multi-protocol complexity is a real adoption barrier—but also a market opportunity for middleware and readiness platforms.

A second trend is agent-ready product data as the new SEO. Products with complete Schema.org markup are 6.4x more likely to be selected by AI agents for recommendations. AI agents do not browse websites the way humans do—they consume structured data feeds, product schemas, and LLM-readable catalogs. The merchants that optimize their product data for agent consumption will capture disproportionate share; those that rely on visual merchandising and brand storytelling alone risk becoming invisible to AI-mediated shoppers.

A third trend is the divergence between discovery-first and purchase-first agent architectures. ChatGPT has pivoted toward product discovery and comparison after its Instant Checkout feature underwhelmed (roughly 30 merchants went live in six months). Amazon Rufus is purchase-first—it operates inside the Amazon app with access to the catalog, reviews, Prime logistics, and stored payment credentials, which is what makes Buy for Me and Auto Buy possible. Perplexity sits between the two, with PayPal-powered instant purchasing inside search results. Google AI Mode integrates discovery and checkout through UCP. The competitive landscape splits along two axes: search-first vs. purchase-first, and open vs. closed.

A fourth trend is AI-referred traffic converting at rates that are reshaping marketing economics. AI-driven traffic to US retail sites tripled year-over-year during 2025 Cyber Week and converted at 8x the rate of social media traffic. Walmart's Sparky users have roughly 35% higher average order value than non-users, and roughly half of Walmart app users have tried the assistant. These conversion metrics are pulling marketing and merchandising budgets toward AI agent optimization.

Market Drivers Accelerating Growth

The first driver is the scale of AI shopping agent adoption. ChatGPT has 900 million weekly active users; Amazon Rufus serves 300 million users; Walmart's Sparky has been tried by half of Walmart app users. These are not experimental products—they are mainstream consumer surfaces with hundreds of millions of users who are beginning to shop through them.

The second driver is the protocol and payment infrastructure maturing rapidly. Stripe's Agentic Commerce Suite, Google's UCP, Visa TAP, and PayPal Agent Payments are shipping production-grade transaction rails that make it possible for AI agents to complete purchases with real money. The infrastructure is no longer a whiteboard concept—it is live and processing transactions.

The third driver is the projected scale of AI-orchestrated spend. Industry projections estimate that agentic commerce will orchestrate USD 3 to 5 trillion in global retail spend by 2030, with up to USD 1 trillion in US B2C alone. Analysts estimate AI agents could complete 15–25% of all US e-commerce transactions. These projections are pulling investment from retailers, platforms, and payment companies.

Market Challenges and Restraints

The most significant restraint is consumer trust. Only 17% of consumers trust AI enough to complete a purchase autonomously, and 79% rank accuracy as the top priority for AI shopping. The trust gap means that even as agent platforms reach hundreds of millions of users, the share willing to let an agent spend money on their behalf remains small—and bridging that gap requires demonstrated accuracy, transparent decision-making, and reliable refund/return handling.

A second restraint is Amazon's walled-garden strategy. Amazon updated its robots.txt to block OpenAI's crawlers—removing 600 million products from ChatGPT's shopping results. Amazon sued Perplexity for unauthorized purchases. Amazon is conspicuously absent from both ACP and UCP. For a company that controls 40% of US e-commerce, this blocking strategy fragments the market and limits what external AI agents can offer.

A third challenge is brand commoditization. AI agents collapse the shopping funnel into specs, price, reviews, and availability. Brands that differentiate through visual merchandising, lifestyle positioning, and emotional storytelling lose that advantage when an AI agent reduces the purchase to data fields. The challenge for brand-dependent categories (fashion, beauty, luxury) is maintaining differentiation in an agent-mediated world.

Segment Insights

By Commerce Layer

AI shopping agent platforms (ChatGPT, Google AI Mode, Rufus, Perplexity) lead by transaction influence, as the platforms where consumers interact with agents are the highest-value layer in the stack.

Commerce protocols and infrastructure (ACP, UCP, MCP, Visa TAP) are the fastest-growing layer, as the protocol and payment rails that enable agent-to-merchant transactions are being built now and will underpin every transaction in the category.

By Agent Type

Consumer AI shopping agents lead by transaction volume, as the B2C use case—shopping on behalf of individuals—is the most visible and highest-traffic form of agentic commerce.

Enterprise procurement agents are the fastest-growing type by platform revenue, as B2B use cases (SaaS renewals, office supply reordering, invoice processing) offer higher per-transaction values and more predictable volume.

By End User

Retailers and e-commerce brands are the largest end user, as they invest in agent-readiness (structured data, multi-protocol support) to ensure their products are discoverable and purchasable by AI agents.

Platform operators (OpenAI, Google, Perplexity, Amazon) capture the highest margin through take rates, referral fees, and the strategic control of which merchants AI agents can transact with.

Key segmentation conclusions:

• Agent platforms lead by influence; protocol infrastructure grows fastest as the rails are built.
• Consumer agents lead volume; enterprise procurement grows fastest by platform revenue.
• Retailers are the largest spenders on agent readiness; platform operators capture the highest margin.
• The open vs. closed ecosystem split (ACP/UCP vs. Rufus/Alexa+) defines the competitive structure.
• Agent-ready product data (Schema.org, structured feeds) is the new table-stakes requirement for merchant visibility.

Regional Analysis: Agentic Commerce Market by Region

North America

North America is the largest regional market, valued at roughly USD 444 million in 2025 and projected to reach about USD 5,700 million by 2032, growing at a CAGR of 44.0%. The United States is the epicenter: OpenAI, Google, Amazon, Perplexity, Shopify, Stripe, Visa, PayPal, and Walmart are all US-headquartered, and the US consumer market is the first geography where agentic checkout (ChatGPT, Rufus Buy for Me, Perplexity Instant Buy) has gone live. Rufus drove an estimated USD 12 billion in incremental Amazon sales in 2025. Over one million Shopify merchants are in the ChatGPT onboarding pipeline. Canada contributes through Shopify's Canadian heritage and growing cross-border agentic commerce.

Europe

Europe is growing strongly, valued at approximately USD 264 million in 2025 and forecast to reach around USD 3,600 million by 2032, expanding at a CAGR of 45.0%. The EU Digital Markets Act and evolving consumer protection rules for AI-initiated purchases shape the regulatory environment. The United Kingdom leads European adoption through its deep e-commerce ecosystem. Germany and France bring large online retail markets. The Nordics contribute through high digital maturity. Zalando, Adyen, and Checkout.com anchor the European payments and merchant infrastructure side.

Asia Pacific

Asia Pacific is the fastest-growing region, valued at roughly USD 264 million in 2025 and projected to reach about USD 3,700 million by 2032, growing at a CAGR of 46.0%. China is the most advanced agentic commerce market by capability, with super-apps (WeChat, Alipay, Taobao) integrating AI shopping agents into existing mobile-first commerce at massive scale. Japan brings a deep e-commerce ecosystem. India combines Shopify ecosystem growth with rapid AI adoption. South Korea and Southeast Asia contribute through mobile-commerce density and cross-border agentic trade.

Rest of World

The Rest of World market reached an estimated USD 84 million in 2025 and is projected to hit about USD 881 million by 2032, growing at a CAGR of 40.0%. The Middle East leads through UAE and Saudi Arabia's digital commerce modernization and WhatsApp-based agentic commerce. Brazil and Mexico anchor Latin American demand through mobile-first retail and expanding Shopify/Google ecosystems.

Regional outlook summary:

• North America holds the largest base, concentrating agent platforms, protocols, and payment infrastructure.
• Asia Pacific grows fastest on mobile-first commerce, super-app integration, and expanding Shopify/Google ecosystems.
• Europe grows strongly on open-protocol adoption and regulatory frameworks for AI-initiated transactions.
• Rest of World expands through mobile commerce and WhatsApp-based agentic buying.
• Protocol adoption, consumer trust, and Amazon's walled-garden decisions are the universal variables.

Key Company Insights

The competitive landscape spans five layers: AI agent platforms, commerce protocol developers, payment processors, merchant-readiness enablers, and enterprise procurement platforms. The leading players include OpenAI, Google, Amazon, Perplexity, Shopify, Stripe, Visa, PayPal, Walmart, Microsoft, Meta, Anthropic, Adyen, Mastercard, and Eco.

• OpenAI (ChatGPT Shopping / ACP)
• Google (AI Mode Shopping / UCP / A2A)
• Amazon (Rufus / Buy for Me / Alexa+)
• Perplexity (Comet Browser / PayPal Instant Buy)
• Shopify (Storefront MCP / UCP)
• Stripe (Agentic Commerce Suite / ACP)
• Visa (Visa TAP / Intelligent Commerce)
• PayPal (Agent Payments)
• Walmart (Sparky)
• Microsoft (Copilot Commerce)
• Meta (Agentic Commerce for Instagram/WhatsApp)
• Anthropic (MCP)
• Adyen
• Mastercard
• Eco (Agentic Commerce Infrastructure)

OpenAI expanded ChatGPT shopping to all US users in February 2026 with over one million Shopify merchants in the pipeline. OpenAI charges merchants a 4% transaction fee on Instant Checkout purchases, though by March 2026 it had pivoted toward discovery after Checkout traction underwhelmed (roughly 30 merchants live). Google launched UCP at NRF 2026 with the broadest coalition—Shopify, Walmart, Target, Visa, Mastercard, Adyen, Best Buy, Macy's, Home Depot, Zalando—positioning itself as the open-protocol standard for agent commerce. Amazon's Rufus serves 300 million users with Buy for Me and Auto Buy capabilities, operating within a closed ecosystem that blocks external agent access.

Shopify is positioned as the merchant-readiness standard, having launched Storefront MCP and integrated UCP to let AI agents search products, create carts, and initiate checkout. Stripe's Agentic Commerce Suite (December 2025) enables merchants to sell through any ACP-compatible agent. Visa TAP and Mastercard are building network-level authentication and fraud detection for autonomous agent transactions. Perplexity's PayPal-powered instant purchasing and Walmart's Sparky (35% higher AOV among users, tried by half of Walmart app users) represent the purchase-first and retail-embedded agent models.

Key company strategy conclusions:

• Google UCP has the broadest merchant coalition and is the frontrunner for open-protocol standardization.
• Amazon Rufus has the most transaction-ready closed ecosystem but risks isolation from the open-protocol world.
• OpenAI pivoted from checkout to discovery, ceding purchase completion to Rufus and Perplexity.
• Shopify is the merchant-readiness gateway; Stripe is the payment-infrastructure gateway.
• Visa and Mastercard are building network-level agent transaction security that will underpin all protocols.

Recent Developments

• In December 2025, Stripe launched the Agentic Commerce Suite enabling merchants to sell through any ACP-compatible AI agent, with URBN, Coach, Kate Spade, Revolve, Ashley Furniture, and Etsy live at launch.¹
• In January 2026, Google launched the Universal Commerce Protocol (UCP) at NRF 2026, co-developed with Shopify, and endorsed by Walmart, Target, Visa, Mastercard, Adyen, Macy's, Home Depot, and over 20 partners.²
• In February 2026, OpenAI expanded "Buy it in ChatGPT" to all US users (Free, Plus, Pro tiers) with over one million Shopify merchants in the onboarding pipeline.³
• In 2025, Amazon's Rufus AI assistant served 300 million users and drove an estimated USD 12 billion in incremental sales, while launching Buy for Me to purchase products from third-party websites on behalf of consumers.4
• In Q4 FY26, Walmart disclosed that roughly half of Walmart app users had tried its Sparky AI shopping assistant, with Sparky users exhibiting approximately 35% higher average order value.5

Sources:

¹ Paz.ai, "Agentic Commerce: The 2026 Guide for Retailers," May 2026; Stripe press release, December 2025
² Paz.ai, May 2026; Lexsis AI, "Agentic Commerce AI Shopping Agents Guide 2026," June 2026
³ Genrise.ai, "AI Shopping Assistants in 2026," June 2026; Stellagent.ai, "AI Shopping Agent Showdown," April 2026
4 Paz.ai, May 2026; Opascope, "AI Shopping Assistant Guide 2026," April 2026
5 Genrise.ai, "AI Shopping Assistants in 2026," June 2026; Walmart Q4 FY26 earnings call

Real-World Use Cases

Amazon's Rufus AI assistant, integrated into the Amazon mobile app, represents the most complete purchase-first agentic commerce deployment in production. Rufus serves 300 million users with product recommendations, Q&A, and comparison, and its Buy for Me feature autonomously purchases products from third-party websites on behalf of consumers. Amazon reported that Rufus users convert at 3x the rate of non-AI sessions and that the assistant drove an estimated USD 12 billion in incremental sales in 2025. The deployment demonstrates that agentic commerce performs best within a walled garden: Rufus has first-party access to the catalog, reviews, Prime logistics, and stored payment credentials, which is what makes autonomous purchasing frictionless. The trade-off is lock-in—products not on Amazon are invisible to Rufus, and Amazon has blocked external AI agents from crawling its catalog.6

Shopify's launch of Storefront MCP and its integration into UCP created the first merchant-readiness standard that lets AI agents from multiple platforms search products, create carts, and initiate checkout across over one million Shopify stores. Merchants including Glossier, SKIMS, Spanx, and Vuori were among the first to appear in ChatGPT shopping through the Shopify integration. The deployment confirmed that the merchant-readiness layer—structured product data, protocol compatibility, and cart-creation APIs—is the gating factor for agentic commerce at scale. Shopify's auto-enrollment model, which gives merchants baseline AI shopping visibility at no additional cost, lowered the adoption barrier to near zero and positioned Shopify as the default infrastructure for agent-mediated DTC commerce.7

Sources:

6 Paz.ai, "Agentic Commerce Guide," May 2026; AlixPartners, "AI Shopping Agents," June 2026; Stellagent.ai, April 2026
7 Lexsis AI, "Agentic Commerce Guide 2026," June 2026; Genrise.ai, June 2026; Paz.ai, May 2026

Market Segmentation

The agentic commerce market segments across four interlocking axes. By commerce layer, it spans AI shopping agent platforms, commerce protocols and infrastructure, payment rails for agentic transactions, merchant agent-readiness software, and enterprise agentic procurement—each representing a distinct value-capture point in the agent-to-merchant-to-payment chain. By agent type, it divides into consumer AI shopping agents, enterprise procurement agents, and machine-to-machine commerce agents—each with different transaction profiles, trust requirements, and infrastructure needs. By end user, it serves retailers, marketplaces, enterprises, financial services, and platform operators.

By region, adoption follows e-commerce maturity, mobile-commerce density, and protocol availability. These axes interlock: a DTC brand on Shopify selling through ChatGPT uses the ACP protocol, Stripe payment rails, Schema.org-optimized product data, and a consumer AI agent—four layers of the stack in a single transaction.

Segmentation summary:

• Commerce layer is the most strategically decisive axis, with platforms leading influence and protocols growing fastest.
• Consumer agents lead volume; enterprise procurement grows fastest by revenue.
• Retailers are the largest end-user spenders; platform operators capture the highest margin.
• The protocol wars (ACP vs. UCP vs. proprietary) define the structural competition.
• Agent-ready product data is the new SEO—the table-stakes requirement for merchant visibility.

Conclusion and Future Outlook

Through 2032, agentic commerce will restructure how a meaningful share of global retail transactions are discovered, evaluated, and completed—shifting the point of influence from brand websites and search-engine results to AI agents that mediate between consumers and merchants. The forces driving the market—the scale of AI agent adoption (900 million ChatGPT users, 300 million Rufus users), the maturing protocol and payment infrastructure, and the conversion economics that favor AI-mediated shopping—are structural and self-reinforcing. AI agents will grow more capable: they will learn individual preferences over time, negotiate prices on behalf of buyers, manage subscriptions and returns autonomously, and eventually handle routine purchasing with minimal human oversight.

The competitive map will be defined by the protocol wars and the open-vs.-closed ecosystem split. The organizations that invest in agent readiness now—structuring product data for AI consumption, supporting multiple protocols, and optimizing for agent-mediated discovery—will capture disproportionate share in the early phase when competition for AI-agent attention is thinner than it will be later. For retailers, platform operators, payment companies, and investors, the message is direct: the shopping funnel is being rewritten, and the organizations that position themselves on the right side of that rewrite will own the next era of commerce.

Frequently Asked Questions (FAQ)

1. How big is the agentic commerce market?

The agentic commerce market was estimated at roughly USD 1,056 million in 2025 and is projected to reach about USD 13,881 million by 2032. North America accounts for the largest share, concentrating the AI shopping agent platforms and commerce protocol developers.

2. What is the agentic commerce market growth rate?

The market is forecast to grow at a CAGR of approximately 44% from 2026 to 2032. Asia Pacific is the fastest-growing region at around 46%, driven by mobile-first commerce and super-app agentic integration.

3. Which segment leads the agentic commerce market?

By commerce layer, AI shopping agent platforms lead by transaction influence. Commerce protocols (ACP, UCP, MCP) are the fastest-growing infrastructure category. By agent type, consumer shopping agents lead volume, while enterprise procurement agents grow fastest by revenue.

4. Who are the key players in the agentic commerce market?

Leading companies include OpenAI, Google, Amazon, Perplexity, Shopify, Stripe, Visa, PayPal, Walmart, Microsoft, Meta, Anthropic, Adyen, Mastercard, and Eco. They span agent platforms, protocol developers, payment processors, and merchant-readiness enablers.

5. What are the factors driving the agentic commerce market?

The primary drivers are AI shopping agents reaching mainstream adoption (900M ChatGPT users, 300M Rufus users), commerce protocols (ACP, UCP) building the transaction infrastructure, AI-referred traffic converting at 8x the rate of social media, and projected USD 3–5 trillion in AI-orchestrated global retail spend by 2030.

Speak With Our Analyst

The agentic commerce market is rewriting how goods and services are discovered, compared, and purchased, and the segment-level detail on protocol adoption, platform economics, merchant-readiness requirements, and competitive positioning is where strategic decisions are won or lost. MarketsandMarkets can help you go deeper: request a sample of the full study, speak with our analyst about your specific questions, or customize the scope to your target geographies, commerce layers, and end-user segments. Reach out to explore how this intelligence can inform your commerce strategy, investment, or product roadmap.