Market Snapshot
- The
global Agentic AI in Retail and E-Commerce Market is valued at USD
46.74 Billion in 2025 reaching USD 61.98 Billion in 2026 and is forecast to reach USD 785.46
Billion by 2035, at a CAGR of 32.6% from 2026 to 2035.
- By
Application, Customer Engagement and Marketing Agents lead with a 37.45%
revenue share in 2025.
- By
Retail Format, Omnichannel Retailers hold the largest share at 43.28%.
- By
Technology Approach, Generative Dialogue Agents dominate with a 47.26%
share.
- By
Deployment Model, Cloud leads with 64.32% revenue share.
- By
Business Type, B2C accounts for 74.62% of the market.
- By
Sales Channel, Online Marketplaces hold a 73.61% share.
- North
America is the dominant region with a 41.63% revenue share in 2025.
- AI-driven
traffic to Shopify stores grew 8x year-over-year since January 2025,
with AI-attributed orders growing 11x in the same period.
- Amazon's
agentic shopping assistant served more than 250 million customers
in 2025, with monthly active users up 140% year-over-year.
- U.S.
generative AI traffic to retail websites surged 4,700%
year-over-year by July 2025, per Adobe Digital Insights.
Market Overview
Global Agentic AI in Retail and E-Commerce Market size is
expected to be worth around USD 785.46 Billion by 2035 from USD 46.74
Billion in 2025, growing at a CAGR of 32.6% during the
forecast period 2026 to 2035.
The Agentic AI in Retail and E-Commerce Market covers AI
systems that autonomously execute multi-step tasks across the retail value
chain. These systems go beyond static recommendation engines. They negotiate,
plan, purchase, and adapt in real time on behalf of merchants and consumers.
This distinction matters because it defines an entirely new software category,
not an upgrade of existing tools.
The market includes applications in customer engagement,
supply chain optimization, pricing, and customer support. It spans deployment
models such as cloud, edge, and on-premise systems. However, it excludes
traditional rule-based automation, basic recommendation engines, and
non-agentic chatbot systems that require human confirmation for every action.
This market sits at the intersection of e-commerce
infrastructure and enterprise AI services. Its expansion depends on the
maturity of large language models, API ecosystems, and payment rails.
Consequently, the market's trajectory is tightly coupled to platform decisions
made by companies controlling foundational AI infrastructure.
The consumer adoption signal is now measurable and large. As
reported by Salesforce's Connected Shoppers Report 2025, 39% of
consumers globally — and over 50% of Gen Z — already use AI for product
discovery. This is not a future behavior; it is a present structural shift in
how consumers enter and navigate the purchase funnel.
Additionally, a Deloitte survey found 56% of U.S.
consumers plan to use AI chatbots to compare prices, 47% to summarize
reviews, and 33% to generate shopping lists. These figures confirm that
agentic AI is moving from novelty to utility, compressing decision cycles and
shifting discovery from search engines to conversational agents.
Research by Accenture confirms enterprise-side momentum is
equally strong. Findings from Accenture show 74% of organizations report
GenAI investments meeting or exceeding expectations, and 63% plan to
increase spend through 2026. Moreover, companies with AI-led processes
achieve 2.5x higher revenue growth and 2.4x greater productivity
than peers, making the financial case for agentic retail deployment difficult
to ignore.
Data published by Adobe Digital Insights shows U.S.
generative AI traffic to retail websites surged 4,700% year-over-year by
July 2025. Furthermore, visitors from AI sources browsed 12% more
pages with a 23% lower bounce rate than non-AI traffic, per Adobe
Analytics. This signals that AI-referred shoppers arrive with stronger purchase
intent, directly improving conversion economics for retailers investing in
agentic channels.
Market Size and Forecast
The global Agentic AI in Retail and E-Commerce Market stands
at USD 46.74 Billion in 2025. This base reflects a period when
agentic commerce moved from pilot programs to production deployments across
major retail platforms. The scale already reached tells investors that the
technology has cleared the proof-of-concept threshold and entered commercial
scaling.
The market is forecast to reach USD 785.46 Billion by
2035 at a CAGR of 32.6% over the 2026–2035 forecast
window. A CAGR of this magnitude is not driven by a single application. It
reflects compounding adoption across customer engagement, supply chain, pricing
intelligence, and autonomous checkout — each generating its own revenue layer
on top of existing retail infrastructure.
The forecast assumes continued platform-level enablement as
a primary growth driver. As per Shopify's April 2026 blog, AI-driven
traffic to Shopify stores grew 8x year-over-year and AI-attributed
orders grew 15x since January 2025. These are not projections —
they are observed growth rates that inform the upside plausibility of the 32.6%
CAGR assumption.
The upside scenario materializes if agentic checkout
protocols achieve broad merchant adoption ahead of schedule. The Agentic
Commerce Protocol (ACP), co-developed by Stripe and OpenAI and backed by over 1
million Shopify merchants onboarding as of September 2025, could
significantly accelerate autonomous transaction volumes, compressing the
timeline to the 2035 forecast target.
The downside scenario is most likely triggered by regulatory
friction. The EU AI Act's Chapter IV mandates on transparency, auditability,
and human oversight — effective August 2025 — require retailers to
re-architect agentic systems to meet compliance standards. If compliance costs
outpace revenue gains in Europe, overall market growth could undershoot the
base forecast during the 2026–2029 period.
Market Dynamics
AI-Driven Platform Adoption and Enterprise Spending
Commitments Are Structurally Accelerating Agentic Retail Deployment
As reported by Shopify, AI-attributed orders grew 11x
between January 2025 and January 2026, while AI-driven traffic to
Shopify stores grew 8x over the same period. These are not aspirational
targets — they are platform-level metrics that confirm agentic AI is already
changing order economics at scale. Retailers ignoring this shift are ceding
discovery advantage to competitors who have already embedded agentic tools into
the core shopping journey.
Findings from Accenture show 74% of organizations
report GenAI investments meeting or exceeding expectations, and 63% plan
to increase spending through 2026. Moreover, companies with AI-led
processes generate 2.5x higher revenue growth and 3.3x better
success scaling GenAI use cases than peers. This enterprise spending momentum
creates a self-reinforcing cycle: higher investment produces measurable
returns, which justify further deployment across retail functions.
Data published by Adobe Digital Insights confirms a 4,700%
year-over-year surge in U.S. generative AI traffic to retail websites by July 2025.
Additionally, TCS launched a dedicated NVIDIA Business Unit in October 2024
to accelerate AI adoption across retail and other industries. Together, these
signals show that both consumer behavior and IT services infrastructure are
aligning to support full-scale agentic deployment — creating a structural pull
that retailers cannot reverse even if they wanted to.
Regulatory Compliance Costs and Enterprise AI Scaling
Gaps Are Limiting the Speed of Agentic Commerce Rollouts
The EU AI Act's Chapter IV rules on transparency,
auditability, and human oversight took effect in August 2025. Retailers
operating in Europe must re-architect agentic systems to satisfy compliance
requirements before scaling. This is not a minor adjustment — it forces
fundamental changes to how AI agents log decisions, surface explanations, and
maintain human control, adding time and cost to deployment roadmaps that were
already under pressure.
BCG's October 2024 research found only 26% of
companies have built capabilities to move beyond AI proofs of concept, and just
4% have created substantial value across functions. This capability gap
is the most underappreciated restraint in the market. Vendors can sell agentic
platforms, but buyers cannot absorb them at speed if internal data
infrastructure, governance frameworks, and talent are not ready to support
production deployment.
Furthermore, BCG identified retail as lagging behind
fintech, software, and banking in the share of AI-future-built enterprises.
Consequently, the gap between early-adopting enterprise retailers and the broad
mid-market is widening. Vendors targeting the middle of the market face a
longer sales cycle and higher implementation risk than projections based on
leading-edge deployments would suggest.
Open Agentic Commerce Protocols and Underserved Regional
Markets Create Structural Entry Points for New and Existing Players
Shopify's activation of Agentic Storefronts for every store
on the platform by late March 2026 means that over 1 million
merchants now have default-on agentic commerce capabilities connected to
ChatGPT, Microsoft Copilot, Google AI Mode, and Gemini. This is a mass-market
distribution event, not a niche technology rollout. Any merchant, application
developer, or brand operating on Shopify gains immediate agentic channel access
without building proprietary infrastructure.
BCG projects that AI search visits will reach 25% of
organic traffic by end of 2025, up from 4% in early 2024.
This shift in discovery channel share creates a white-space opportunity for
merchants in European markets who establish agentic presence early, before
channel saturation sets in. Additionally, the Universal Commerce Protocol
(UCP), co-developed by Shopify and Google and backed by Amazon, Mastercard,
Meta, Microsoft, Salesforce, Visa, and Walmart, signals that open standards are
forming the rails on which the next wave of agentic commerce will run.
Walmart Connect's introduction of sponsored placements
inside Sparky and the Marty beta assistant for sponsored search bidding
represent a new retail media inventory type that did not exist before 2025.
As reported, Walmart advertising revenue totaled $6.4 billion in 2025,
a 37% year-over-year increase. Brands that learn to operate within
agentic ad environments early will hold structural advantages in visibility and
conversion as Sparky scales globally.
Market Trends
Super Agent Consolidation, Open Commerce Protocols, and
Triple-Digit AI Traffic Growth Are Redefining Retail Operations and Discovery
Retailers are moving away from managing dozens of
disconnected AI tools and toward unified agent architectures. Walmart
restructured its AI estate into four Super Agents — including Sparky and Marty
— in 2025. This consolidation matters because fragmented AI tools
produce fragmented customer experiences. A unified agent architecture allows
retailers to align inventory, pricing, promotion, and customer service
decisions within a single decision-making loop, reducing latency and error
across the value chain.
Open commerce protocols are changing who controls the retail
transaction layer. Shopify and Google co-developed the Universal Commerce
Protocol (UCP), backed by 11 major industry players including Amazon,
Visa, Mastercard, and Meta. Separately, Stripe and OpenAI released the Agentic
Commerce Protocol (ACP) in September 2025, with over 1 million
Shopify merchants onboarding. These protocols shift competitive advantage from
proprietary checkout flows to catalog quality, agent discoverability, and
fulfillment speed.
Data published by Adobe Digital Insights recorded a 4,700%
year-over-year increase in AI-driven traffic to retail sites by mid-2025.
U.S. consumers from generative AI sources showed a 23% lower bounce rate
and 8% higher engagement rate than non-AI traffic, per Adobe Analytics.
Additionally, Walmart's Sparky users showed an average order value
approximately 35% higher than non-Sparky customers, as reported on
Walmart's Q4 FY26 earnings call. These metrics confirm that agentic commerce
channels do not merely replicate existing traffic — they generate structurally
better buyers.
Application Analysis
Customer Engagement and Marketing Agents dominates with
37.45% due to highest direct revenue impact.
In 2025, Customer Engagement and Marketing Agents
held a dominant market position in the By Application segment of the Agentic AI
in Retail and E-Commerce Market, with a 37.45% share. As reported by
Salesforce's Connected Shoppers Report 2025, 39% of consumers globally
already use AI for product discovery, confirming that marketing agents sit at
the highest-value point in the purchase funnel where conversion decisions are
made.
Supply Chain and Inventory Optimization Agents
address the operational backbone of retail profitability. Walmart's AI
demand-forecasting tools supported inventory growth of just 2.6% against
a 5.6% revenue increase in Q4 FY26, demonstrating that agentic supply
chain tools directly protect margins by preventing overstock and stockout
conditions that erode retailer profitability.
Pricing and Merchandising Agents enable real-time
margin management across large product catalogs. Walmart's deployment of its
"Trend-to-Product" system in 2025 shows how agentic
merchandising tools convert trend signals into live product decisions faster
than any human-led process, giving early adopters a structural speed advantage
in capitalizing on demand shifts.
Customer Support Agents reduce cost-per-resolution
while improving satisfaction at scale. Salesforce's Agentforce for Retail,
launched January 10, 2025, includes pre-built agent skills for order
management and loyalty promotion creation, with launch customers including
SharkNinja and Saks. This pre-built approach compresses deployment timelines
and lowers the technical barrier for mid-market retailers entering agentic
support.
Retail Format Analysis
Omnichannel Retailers dominate with 43.28% due to highest
AI integration surface area.
In 2025, Omnichannel Retailers held a dominant market
position in the By Retail Format segment of the Agentic AI in Retail and
E-Commerce Market, with a 43.28% share. Walmart's Q4 FY26 results
illustrate why: global e-commerce grew 24%, representing 23% of
total sales, while operating income grew 10.8% — outpacing revenue
growth because agentic tools optimized both demand capture and fulfillment cost
simultaneously.
Grocery and Convenience retailers are deploying
agentic tools primarily for automated reorder and same-day fulfillment
optimization. Walmart's Express delivery under 3 hours is available on 30%
of orders as of mid-2025, supporting Sparky's automated reorder roadmap.
For grocery operators, speed and replenishment accuracy are the primary value
levers, making agentic AI a direct margin and loyalty tool.
Specialty Retailers use agentic AI to deliver
personalized discovery experiences that justify premium positioning. Salesforce
reported AI-driven retail traffic grew 119% year-over-year in H1 2025,
with specialty brands like Pandora and Pacsun cited as Agentforce Commerce
customers. Personalization at this depth was previously cost-prohibitive for
mid-sized specialty operators, making agentic platforms a structural equalizer.
Pure-Play eCommerce operators face the most direct
exposure to agentic channel disruption from search replacement. As per a
Capgemini survey, nearly 60% of consumers globally have begun replacing
traditional search engines with generative AI, including two-thirds of
Millennials and Gen Z. Pure-play platforms that do not embed into agentic
discovery channels risk losing top-of-funnel traffic to retailers who have
already activated agentic storefronts.
Technology Approach Analysis
Generative Dialogue Agents dominate with 47.26% due to
broadest consumer adoption base.
In 2025, Generative Dialogue Agents held a dominant
market position in the By Technology Approach segment of the Agentic AI in
Retail and E-Commerce Market, with a 47.26% share. Amazon's agentic
shopping assistant served more than 250 million customers in 2025,
with monthly active users up 140% year-over-year and interactions up 210%,
confirming that dialogue-based agents have achieved mass-market scale faster
than any other approach.
Voice-Commerce Agents extend agentic purchasing into
ambient and hands-free environments. Amazon's next-generation Rufus, launched
November 17, 2025, includes account memory and auto-buy features that
reduce friction for repeat purchases. Voice-enabled agentic commerce is most
valuable in grocery and household replenishment categories where convenience
outweighs deliberation.
Vision-based Agents enable product discovery from
images, handwritten lists, and physical objects. Amazon's Rufus upgrade
included handwritten-list scanning as a core feature, directly targeting the
analog-to-digital conversion of everyday shopping behavior. This capability
expands the agentic addressable market beyond digitally native consumers to
capture shoppers who previously found online product search too effortful.
Predictive Recommendation Agents operate upstream of
explicit consumer intent, surfacing products before the consumer formulates a
query. Shopify's Winter '26 Sidekick update delivers 3 personalized
high-impact actions on merchant login, demonstrating that predictive agents are
being deployed on the merchant side as well as the consumer side — a
distinction that doubles the addressable use-case surface within a single
platform.
Deployment Model Analysis
Cloud dominates with 64.32% due to fastest deployment and
lowest upfront cost.
In 2025, Cloud held a dominant market position in the
By Deployment Model segment of the Agentic AI in Retail and E-Commerce Market,
with a 64.32% share. Shopify invested $2 billion in R&D in 2024
and activated Agentic Storefronts for every merchant on the platform by late
March 2026 — a rollout only achievable through cloud architecture that
requires no individual merchant infrastructure change.
Edge deployment addresses latency-sensitive and
connectivity-constrained retail environments, including in-store applications
and markets with inconsistent connectivity. As Walmart targets 55%
automated fulfillment volume by fiscal 2026, edge AI becomes critical
for real-time warehouse and store-floor decision-making where cloud round-trip
latency would introduce operational delays.
On-Premise deployment serves enterprise retailers
with strict data sovereignty requirements or legacy infrastructure that cannot
be fully migrated to cloud environments. The EU AI Act's auditability mandates
effective August 2025 may increase on-premise adoption among European
retailers who require full control over AI decision logs to demonstrate
regulatory compliance without relying on third-party cloud audit trails.
Business Type Analysis
B2C dominates with 74.62% due to largest transaction
volume and consumer adoption scale.
In 2025, B2C held a dominant market position in the
By Business Type segment of the Agentic AI in Retail and E-Commerce Market,
with a 74.62% share. A Contentsquare survey found 30% of
consumers are willing to let an AI agent complete purchases on their behalf as
of December 2025. This willingness to delegate purchasing authority —
even at current early adoption levels — signals a structural shift in how B2C
transaction volumes will be captured going forward.
B2B agentic commerce is scaling at a pace that
challenges the assumption that consumer markets will always lead. Shopify's B2B
GMV grew 96% in full-year 2025 and 84% in Q4 2025,
while Shop Pay GMV grew 62% as Agentic Storefronts activated. B2B buyers
managing high-SKU, high-frequency procurement have strong structural incentives
to delegate reordering to AI agents, making this the fastest-scaling segment
within the business type dimension.
Sales Channel Analysis
Online Marketplaces dominate with 73.61% due to catalog
depth and agentic protocol leadership.
In 2025, Online Marketplaces held a dominant market
position in the By Sales Channel segment of the Agentic AI in Retail and
E-Commerce Market, with a 73.61% share. Amazon's agentic assistant is on
track to deliver over $10 billion in incremental annualized sales per
CEO Andy Jassy's Q3 2025 earnings statement. Marketplace scale provides
the data density that trains better agentic models, creating a compounding
advantage over smaller channel operators.
Direct-to-Consumer Websites are integrating agentic
tools primarily to defend against marketplace dependency. Salesforce's
Agentforce Commerce capabilities include Guided Shopping (GA) and Order Routing
(GA Winter 2026), giving DTC brands enterprise-grade agentic features
without proprietary AI investment. For brands prioritizing margin and customer
data ownership, DTC agentic deployment offers a path to reducing marketplace
commission exposure.
Social Commerce Platforms are becoming an active
agentic transaction layer as discovery and purchase collapse into a single
interaction. Shopify's Agentic Storefronts integrate with ChatGPT, Perplexity,
and Microsoft Copilot, extending merchant catalogs into conversational social
environments. This convergence means social platforms are no longer just
awareness channels — they are becoming autonomous purchase execution
environments.
By Agentic Storefront Channel Analysis
ChatGPT leads agentic storefront channels due to
first-mover checkout infrastructure.
In 2025, ChatGPT established the first
production-ready agentic commerce channel with the launch of Instant Checkout
on September 29, 2025, powered by the Agentic Commerce Protocol
co-developed with Stripe. The feature launched for U.S. ChatGPT Plus, Pro, and
Free users, with Etsy live and Shopify merchants including Glossier, SKIMS, and
Vuori onboarding immediately. First-mover checkout infrastructure at this scale
is a durable structural advantage.
Microsoft Copilot extends agentic retail access into
enterprise productivity workflows, where purchasing decisions are often
initiated within document and communication contexts. Shopify's Agentic
Storefronts integration with Microsoft Copilot places merchant catalogs directly
inside the tools used by procurement and operations professionals, capturing
B2B purchase intent at the moment of decision rather than redirecting users to
a separate commerce environment.
Google AI Mode represents the highest-stakes agentic
storefront channel because it operates at the intersection of search intent and
purchase readiness. Shopify and Google co-developed the Universal Commerce
Protocol (UCP), backed by 11 major industry players. BCG projects AI
search visits will reach 25% of organic traffic by end of 2025,
up from 4% in early 2024, making Google AI Mode a critical
catalog distribution point for any merchant prioritizing organic discovery.
Gemini App expands agentic retail access through
Google's consumer AI surface, connecting merchant catalogs to users already
embedded in the Google ecosystem across Android devices and Google Workspace.
Shopify's syndication of catalogs across Gemini as part of the UCP rollout
means merchants gain passive agentic distribution across Google's installed
base without individual integration effort, lowering the barrier for SMB
adoption significantly.
Key Market Segments
By Application
- Customer
Engagement and Marketing Agents
- Supply
Chain and Inventory Optimization Agents
- Pricing
and Merchandising Agents
- Customer
Support Agents
By Retail Format
- Omnichannel
Retailers
- Grocery
and Convenience
- Specialty
Retailers
- Pure-Play
eCommerce
By Technology Approach
- Generative
Dialogue Agents
- Voice-Commerce
Agents
- Vision-based
Agents
- Predictive
Recommendation Agents
By Deployment Model
By Business Type
By Sales Channel
- Online
Marketplace
- Direct-to-Consumer
Websites
- Social
Commerce Platforms
By Agentic Storefront Channel
- ChatGPT
- Microsoft
Copilot
- Google
AI Mode
- Gemini
App
Regional Analysis
North America Dominates the Agentic AI in Retail and
E-Commerce Market with a Market Share of 41.63%
North America holds a 41.63% revenue share in 2025,
anchored by the platform decisions of Walmart, Amazon, Shopify, and OpenAI.
Walmart's Q4 FY26 total revenue reached $190.7 billion, with global
e-commerce up 24% and operating income growing 10.8% — outpacing
revenue growth because agentic tools compressed operational costs while
capturing new demand at scale.
Europe Agentic AI in Retail and E-Commerce Market Trends
Europe presents the clearest tension between market
potential and compliance cost in this industry. The EU AI Act's Chapter IV
rules took effect August 2025, requiring retailers to re-architect
agentic systems for transparency and auditability. However, BCG projects AI
search visits will reach 25% of organic traffic by end of 2025 —
creating a competitive gap between retailers who absorb compliance costs early
and those who delay deployment entirely.
Asia Pacific Agentic AI in Retail and E-Commerce Market
Trends
Asia Pacific combines the world's largest e-commerce volumes
with aggressive AI adoption curves. India's e-commerce market is forecast to
expand 12.5% in 2025 to $211.6 billion, per GlobalData,
with an 11.5% CAGR forecast through 2029. Additionally,
Alibaba.com had over 100,000 of its roughly 200,000 wholesale
merchants using AI tools weekly as of March 2025, with a target of 100%
AI adoption by year-end — a deployment pace no other regional market has
matched.
Latin America Agentic AI in Retail and E-Commerce Market
Trends
Latin America's agentic retail market is at an earlier stage
than North America or Asia Pacific, but the region's high mobile-first
e-commerce penetration creates a natural deployment surface for conversational
and voice-commerce agents. Platform decisions by Shopify — which activated
Agentic Storefronts for every merchant by late March 2026 — extend
agentic commerce access to Latin American SMB merchants without requiring
regional infrastructure investment, accelerating the adoption timeline.
Middle East and Africa Agentic AI in Retail and
E-Commerce Market Trends
The Middle East and Africa region is characterized by high
smartphone penetration and a young consumer demographic with strong affinity
for digital-first commerce. Accenture's research found AI-led operations
adoption tripled from 8% in 2023 to 25% in 2024
globally. Enterprise investment entering the region through IT services firms
building dedicated agentic AI practices will accelerate deployment for regional
retail chains seeking to leapfrog legacy infrastructure with cloud-native
agentic platforms.
Key Regions and Countries
North America
Europe
- Germany
- France
- The
UK
- Spain
- Italy
- Rest
of Europe
Asia Pacific
- China
- Japan
- South
Korea
- India
- Australia
- Rest
of APAC
Latin America
- Brazil
- Mexico
- Rest
of Latin America
Middle East & Africa
- GCC
- South
Africa
- Rest
of MEA
Competitive Landscape
The Agentic AI in Retail and E-Commerce Market is moderately
consolidated at the platform layer but fragmented at the application and
vertical solution layer. A small number of infrastructure providers —
controlling foundational models, payment rails, and merchant operating systems
— are setting the standards that all other vendors must build around. This
two-tier structure means that competitive advantage at the platform level
translates directly into downstream share across the application market.
Platform-level leaders are competing on protocol ownership,
not just product features. The Universal Commerce Protocol (UCP), co-developed
by Shopify and Google and backed by 11 major industry players, and the
Agentic Commerce Protocol (ACP) released by Stripe and OpenAI in September 2025,
represent infrastructure bets. The vendor that controls the transaction
protocol controls the data, the merchant relationship, and the consumer trust
layer across all downstream agentic applications.
Vertical application vendors are gaining share by embedding
agentic capabilities into existing workflows rather than asking retailers to
adopt entirely new systems. Salesforce reported AI-driven retail traffic grew 119%
year-over-year in H1 2025 across its customer base, and projected
agentic agents would drive 22% of global Cyber Week orders. Vendors
achieving this level of measurable output are establishing a proof-of-ROI moat
that makes displacement by generalist AI platforms significantly harder.
IT services firms are becoming a meaningful competitive
force by building dedicated agentic retail practices. TCS launched a dedicated
NVIDIA Business Unit in October 2024 to accelerate AI adoption across
industries including retail. BCG reported AI services work generated 25%
of its revenue in 2025. These firms are not building AI products — they
are controlling the implementation layer, which gives them influence over
vendor selection and integration architecture for enterprise retail clients.
The competitive dynamic most likely to reshape market share
over the 2026–2028 period is the race to become the default
agentic discovery layer for consumers. Shopify activated Agentic Storefronts
across its full merchant base by late March 2026, integrating with
ChatGPT, Perplexity, and Microsoft Copilot simultaneously. Vendors who secure
default placement in these consumer-facing agentic channels will capture
organic traffic that no amount of direct marketing spend can replicate.
Company Profiles
Salesforce has positioned itself as the enterprise
operating system for agentic retail by embedding pre-built agent skills
directly into existing CRM and commerce infrastructure. Its January 2025
Agentforce for Retail launch included order management, guided shopping, and
loyalty creation capabilities, with GA delivery of Retail Cloud POS in April 2025.
The pre-built approach shortens enterprise sales cycles and raises switching
costs once agents are embedded in live retail workflows.
Shopify converted its merchant base into an agentic
commerce network through a series of compounding platform decisions. Full-year 2025
revenue reached $11.56 billion, up 30.1%, with GMV at $378
billion, up 29%. B2B GMV grew 96% as Agentic Storefronts
activated. By defaulting every merchant onto agentic storefronts by March 2026,
Shopify created the largest single deployment of agentic commerce
infrastructure in history — without requiring individual merchant action.
Microsoft extends agentic retail access through
Copilot, which integrates Shopify merchant catalogs and participates in both
the UCP and ACP protocol ecosystems. London-based organizations using
Microsoft-backed GenAI tools invested roughly one-third more in GenAI than
peers, per Accenture. Microsoft's enterprise productivity installed base gives
it a structural distribution advantage for agentic commerce that no
retail-native platform can replicate — purchase intent captured inside Word,
Teams, or Outlook converts without requiring a separate discovery step.
Alphabet (Google) co-developed the Universal Commerce
Protocol with Shopify, backed by 11 major industry players including
Amazon, Visa, and Walmart. BCG projects AI search visits will reach 25%
of organic traffic by end of 2025, a shift that flows directly through
Google AI Mode. Google's structural advantage is that it controls the search
intent signal — the moment a consumer formulates a need — giving it the
earliest possible intervention point in the agentic purchase journey.
Key Players
- Salesforce
- Shopify
- Microsoft
- Alphabet
(Google)
- OpenAI
- Alibaba
- Kore.ai
- Sierra
AI
- Gorgias
- Algolia
- Clerk.io
- Decagon
- Insider
Supply Chain and Value Chain Analysis
The value chain in this market runs from foundational model
providers and compute infrastructure through platform operators, application
vendors, system integrators, and finally to merchant and consumer end points.
The highest concentration of value creation sits at the platform and protocol
layer, where Shopify, Salesforce, OpenAI, and Stripe are establishing the
standards that govern how agentic transactions are initiated, authenticated,
and completed across the entire chain.
Raw material inputs to this market are compute capacity,
training data, and payment infrastructure. These inputs are controlled by a
small number of providers, creating upstream dependency for all downstream
application vendors. TCS's October 2024 launch of a dedicated NVIDIA
Business Unit reflects how even IT services firms must align with compute
suppliers to deliver agentic retail solutions. Vendors without established GPU
access or foundational model partnerships face a structural ceiling on the
capability of their agentic products.
The platform and protocol layer captures value through
transaction fees, subscription revenue, and data network effects. Shopify's
full-year 2025 free cash flow exceeded $2 billion at a 17%
free cash flow margin, sustained across 10 consecutive quarters of
double-digit margins. Stripe and OpenAI's Agentic Commerce Protocol, with over 1
million Shopify merchants onboarding, represents a payment infrastructure
layer that will collect a fee on every agentic transaction it processes —
creating a recurring revenue stream that scales with merchant GMV.
System integrators and IT services firms control the
implementation layer between platform vendors and enterprise retail clients.
Accenture booked over 30 client engagements of $100 million or
more each in generative AI in fiscal Q3 2025. BCG reported AI services
generated 25% of its 2025 revenue. These firms sit between the
platform and the enterprise buyer, giving them significant influence over
vendor selection, architecture decisions, and total project spend — a position
that creates durable advisory revenue independent of which platform ultimately
wins at the infrastructure layer.
The consumer end point is where value is ultimately
realized, and the data signal flows back upstream to train better models.
Amazon's agentic assistant users are 60% more likely to complete
purchases versus non-users, per Yahoo Finance data. Walmart's Sparky users
generate average order values approximately 35% higher than non-Sparky
customers. These consumer-level outcomes demonstrate that the value chain is
functioning — agentic tools are producing measurable lift at the transaction
level, which validates continued upstream investment from compute providers through
to platform operators.
Regulatory Landscape
The most consequential regulatory development in this market
is the EU AI Act's Chapter IV, which took effect in August 2025. The
European Commission published 3 compliance instruments in July 2025
to support retailer compliance. These mandates require agentic systems to meet
transparency, auditability, and human-oversight standards before deployment.
For retailers operating across EU markets, this means re-architecting AI agents
that were built without compliance-by-design principles — a costly and
time-consuming process that delays revenue realization.
The transparency and auditability requirements under Chapter
IV have direct implications for how agentic retail systems log and explain
decisions. Retailers must demonstrate that their AI agents can surface decision
rationales on demand and maintain human override capability at every stage of
the purchase or fulfillment process. Consequently, vendors selling into
European markets must build compliance documentation, audit trails, and
explainability layers into their core product architecture — not as optional
add-ons but as conditions of market access.
The EU AI Act mandates create an asymmetric
compliance burden between large enterprise retailers and SMB operators.
Enterprise players with dedicated legal and engineering teams can absorb
re-architecture costs more readily than small merchants. However, platform-level
compliance — where Shopify or Salesforce builds compliant agentic
infrastructure that merchants inherit — reduces this asymmetry. Platforms that
achieve EU compliance at the infrastructure level will hold a decisive
competitive advantage in European merchant acquisition.
Outside Europe, the regulatory environment is less
prescriptive but not inactive. U.S. consumer adoption of GenAI for shopping
reached 38% who had already used GenAI, with another 52% planning
to in 2025, per eMarketer. This adoption pace will likely accelerate
U.S. regulatory attention toward agentic purchasing systems, particularly
around consumer consent for autonomous buying, data use in personalization, and
liability for AI-initiated transactions. Retailers building compliance
frameworks now position themselves ahead of regulatory timelines that are still
forming.
The Agentic Commerce Protocol (ACP), co-developed by Stripe
and OpenAI in September 2025, introduces a Shared Payment Token (SPT)
primitive that governs how AI agents authenticate and execute transactions on
consumer behalf. This protocol layer has implicit regulatory significance: it
defines who holds liability for an AI-initiated purchase, how consent is
captured, and how disputes are resolved. Regulators in multiple jurisdictions
will scrutinize SPT-style mechanisms as agentic checkout scales — making early
protocol governance transparency a strategic risk management decision, not just
a technical one.
Porter's Five Forces Analysis
Threat of New Entrants — Medium
New entrants face significant capital and data barriers at
the foundational model and platform layer, where incumbents like Shopify,
Salesforce, and OpenAI hold durable advantages. However, the application layer
remains accessible. Shopify's activation of Agentic Storefronts for every
merchant by late March 2026 lowers the infrastructure barrier for new
application vendors who can build on top of existing protocol rails without
replicating core platform capabilities.
Bargaining Power of Buyers — Medium
Enterprise retailers hold meaningful negotiating leverage
because agentic platform adoption requires deep integration into existing
commerce infrastructure, giving buyers the ability to demand customization and
pricing concessions. However, this leverage weakens as switching costs
accumulate. Accenture found 74% of organizations report GenAI
investments meeting or exceeding expectations, meaning satisfied buyers are
less likely to renegotiate or switch vendors once agentic systems are embedded
in live retail operations.
Bargaining Power of Suppliers — High
Foundational model providers and GPU compute suppliers hold
concentrated power over every vendor in this market. TCS launched a dedicated
NVIDIA Business Unit in October 2024 specifically to secure compute
access for its retail AI clients — a structural acknowledgment that compute
supply is a binding constraint. Additionally, Perplexity AI entered late-stage
talks in May 2025 to raise $500 million at a $14 billion
valuation, reflecting how capital-intensive the foundational layer remains and
how few suppliers can operate at the required scale.
Threat of Substitutes — Low
No credible substitute currently replicates the autonomous,
multi-step task execution that defines agentic AI in retail. Traditional
rule-based automation, keyword search, and static recommendation engines
require human decision-making at each step, making them structurally inferior
for the use cases this market addresses. Adobe Digital Insights data showing a 4,700%
year-over-year surge in AI-driven retail traffic confirms consumers are
actively migrating toward agentic discovery channels rather than reverting to
prior substitutes.
Competitive Rivalry — High
Competitive rivalry is intense at every layer of the value
chain. At the protocol level, the Universal Commerce Protocol (UCP) and the
Agentic Commerce Protocol (ACP) are competing to become the default standard
for agentic transactions. At the application level, Salesforce, Shopify, and
Amazon are each investing at a scale that pressures smaller vendors. Shopify
invested $2 billion in R&D in 2024 alone, while Amazon's
agentic assistant is on track to generate over $10 billion in
incremental annualized sales — setting a performance benchmark that redefines
the minimum acceptable outcome for any competing platform.
Investment and White Space Analysis
Investment in this market is currently concentrated at the
platform and protocol layer, where the highest long-term value is expected to
accumulate. Perplexity AI entered late-stage talks in May 2025 to raise $500
million at a $14 billion valuation, led by Accel, to fund expansion
including its Comet agentic browser. The company reported just under $100
million ARR as of March 2025, up from a prior $9 billion
valuation in December 2024. This valuation trajectory reflects investor
conviction that agentic browser infrastructure controls a critical consumer
touchpoint in the purchase journey.
The most underserved segment in this market is the SMB
retail operator. Large enterprise retailers like Walmart and Amazon have the
engineering capacity to build proprietary agentic tools. SMBs do not — but
Shopify's default activation of Agentic Storefronts for every merchant by late
March 2026 creates a distribution channel that reaches this segment
without individual deployment effort. Application vendors building specialized
agentic tools for SMB verticals — such as agentic loyalty, agentic
replenishment, or agentic ad management — can ride this distribution
infrastructure without competing directly with enterprise platform vendors.
European markets represent the clearest geographic white
space in this market. BCG projects AI search visits will reach 25% of
organic traffic by end of 2025, up from 4% in early 2024.
European retailers are adopting agentic tools at a slower rate than North
American peers due to EU AI Act compliance complexity. Vendors who develop
compliance-ready agentic solutions — particularly those with built-in
auditability and human-oversight features that satisfy Chapter IV requirements
— can capture first-mover advantage in a market where most competitors are
still navigating regulatory architecture.
The retail media network segment is an emerging investment
category within this market. Walmart advertising revenue totaled $6.4
billion in 2025, a 37% year-over-year increase, driven partly
by Walmart Connect's introduction of sponsored placements inside Sparky. This
creates an entirely new agentic ad inventory type — placements triggered by AI
agent queries rather than human search inputs. Brands and ad-tech vendors that
develop bidding and measurement capabilities for agentic ad environments will
capture value in a channel where pricing, attribution, and audience targeting
conventions are still being established.
The data signal most relevant to timing market entry is the
pace of consumer consent for autonomous purchasing. A Contentsquare survey
found 30% of consumers are willing to let an AI agent complete purchases
on their behalf as of December 2025. This figure will rise as trust in
agentic systems accumulates through successful transactions. Vendors entering
the market in 2026 can still establish positions before autonomous
purchasing becomes the dominant consumer norm — but the window for
differentiated early-mover positioning is compressing as platform defaults
activate and protocol standards solidify.
Recent Developments
- January
10, 2025 — Salesforce unveiled Agentforce for Retail with pre-built
agent skills for order management, guided shopping, appointment
scheduling, and loyalty promotion creation, alongside Retail Cloud with
Modern POS (GA April 2025); launch customers included SharkNinja
and Saks.
- September
28–29, 2025 — Stripe and OpenAI released the Agentic Commerce Protocol
(ACP) and launched Instant Checkout in ChatGPT for U.S. Plus, Pro, and
Free users; Etsy launched as the first live marketplace with over 1
million Shopify merchants onboarding, powered by a new Shared Payment
Token (SPT) primitive.
- November
17, 2025 — Amazon launched a next-generation Rufus with 50+ technical
upgrades including account memory, auto-buy, 30/90-day price
tracker, handwritten-list scanning, and "Buy for Me" agentic
purchases; the assistant subsequently reached more than 250 million
customers with MAUs up 149% YoY and interactions up 210%
YoY.
- November
17, 2025 — Salesforce unveiled expanded Agentforce Commerce
capabilities including ChatGPT integration via ACP, Google AP2
partnership, and Guided Shopping GA; the company reported AI-driven retail
traffic grew 119% YoY in H1 2025 and projected agents would
drive 22% of global Cyber Week orders.
- December
2025 — Shopify released its Winter '26 "RenAIssance
Edition," adding proactive Sidekick recommendations, Agentic
Storefronts integrating ChatGPT, Perplexity, and Microsoft Copilot, and
SimGym — a flight simulator with human-like AI shopper agents — backed by $2
billion in R&D invested in 2024.
- February
2026 — Walmart CEO John Furner stated on the Q4 FY26 earnings call
that Sparky users generate average order values approximately 35%
higher than non-Sparky customers, with approximately half of Walmart app
users having tried Sparky and a global rollout planned; Q4 FY26 total
revenue reached $190.7 billion, up 5.6% YoY.
- May
2025 — Perplexity AI entered late-stage talks to raise $500 million
at a $14 billion valuation, led by Accel, reporting just under $100
million ARR as of March 2025, up from a $9 billion
valuation in December 2024, to fund expansion including its Comet
agentic browser.
- April
29, 2026 — Shopify published data confirming AI-driven traffic to its
stores grew 8x year-over-year and AI-attributed orders grew 15x
since January 2025; the Universal Commerce Protocol (UCP),
co-developed with Google, was confirmed as backed by Amazon, American
Express, Etsy, Mastercard, Meta, Microsoft, Salesforce, Stripe, Target,
Visa, and Walmart.
Report Scope
| Report Characteristics |
| Market Value (2025) |
USD 46.74 Billion |
| Forecast Revenue (2035) |
USD 785.46 Billion |
| CAGR (2026–2035) |
32.6% |
| Base Year for Estimation |
2025 |
| Historic Period |
2020–2024 |
| Forecast Period |
2026–2035 |
| Report Coverage |
Revenue Forecast, Market Dynamics, Competitive Landscape, Recent Developments |
| Segments Covered |
By Application (Customer Engagement and Marketing Agents, Supply Chain and Inventory Optimization Agents, Pricing and Merchandising Agents, Customer Support Agents), By Retail Format (Omnichannel Retailers, Grocery and Convenience, Specialty Retailers, Pure-Play eCommerce), By Technology Approach (Generative Dialogue Agents, Voice-Commerce Agents, Vision-based Agents, Predictive Recommendation Agents), By Deployment Model (Cloud, Edge, On-Premise), By Business Type (B2C, B2B), By Sales Channel (Online Marketplace, Direct-to-Consumer Websites, Social Commerce Platforms), By Agentic Storefront Channel (ChatGPT, Microsoft Copilot, Google AI Mode, Gemini App) |
| Regional Analysis |
North America (US and Canada), Europe (Germany, France, The UK, Spain, Italy, and Rest of Europe), Asia Pacific (China, Japan, South Korea, India, Australia, and Rest of APAC), Latin America (Brazil, Mexico, and Rest of Latin America), Middle East & Africa (GCC, South Africa, and Rest of MEA) |
| Competitive Landscape |
Salesforce, Shopify, Microsoft, Alphabet (Google), OpenAI, Alibaba, Kore.ai, Sierra AI, Gorgias, Algolia, Clerk.io, Decagon, Insider |
| Customization Scope |
Customization for segments, region/country-level will be provided. Moreover, additional customization can be done based on the requirements. |
| Purchase Options |
We have three licenses to opt for: Single User License, Multi-User License (Up to 5 Users), Corporate Use License (Unlimited User and Printable PDF) |