Key Takeaways
- Juniper Research projects agentic commerce transaction value will grow from $8 billion in 2026 to $1.5 trillion by 2030
- Mastercard, Visa, and Stripe top the 2026 Competitor Leaderboard thanks to early participation in emerging agentic protocols
- Trust remains the primary barrier to adoption, and agentic commerce is expected to complement rather than replace traditional checkouts in the near term
Juniper Research Publishes $1.5 Trillion Forecast for Agentic Commerce
A new study by UK-based Juniper Research projects that spending on agentic commerce will reach $1.5 trillion by 2030.
technode.globalUK-based research firm Juniper Research has released a new market projection for the agentic commerce sector. The firm estimates that total transaction value—covering AI agents that handle everything from discovery to payment on behalf of consumers—will grow from $8 billion in 2026 to $1.5 trillion by 2030.
The report traces a growth trajectory beginning with the early pilot deployments expected across 2025 and 2026. Juniper also published its 2026 Competitor Leaderboard, evaluating 14 payments infrastructure providers, with Mastercard, Visa, and Stripe claiming the top three positions.
How Juniper's Forecast Compares with Other Firms
Multiple leading research firms have released market estimates for agentic commerce in rapid succession. McKinsey projects that AI agents could orchestrate up to $1 trillion in US B2C retail, with global figures reaching $3 to 5 trillion. Juniper's $1.5 trillion sits squarely in the middle of these forecasts as a measured figure.
Bain & Company estimates the US market at $300-500 billion by 2030, while Morgan Stanley projects 10-20% of US e-commerce ($190-385 billion). The numbers vary based on regional scope and definitions, but every firm positions agentic commerce as a structural growth driver rather than a passing trend.
Real transaction volume today still sits at the $8 billion mark. In other words, Juniper's scenario implies roughly 190x expansion in about four years. Whether that materializes hinges heavily on the pace of protocol standardization and consumer trust-building.
The Payments Infrastructure Race and Protocol Standardization
A notable feature of Juniper's leaderboard is its evaluation criteria: providers were scored on their ability to enable agentic transaction processes and their involvement in emerging protocols. Traditional metrics like transaction volume or brand recognition took a back seat to technical readiness for the AI agent era.
The top three—Mastercard, Visa, and Stripe—all gained their lead through early protocol engagement. Mastercard is advancing agent authentication and transaction tokenization through its "Agent Pay" initiative, while Visa has launched "Intelligent Commerce" to build consumer delegation frameworks. Stripe has co-developed the Agentic Commerce Protocol with OpenAI, providing the infrastructure behind ChatGPT's Instant Checkout.
The report also highlights the fragmentation of the global payments landscape as a key challenge. Regions with diverse local payment methods are hard to unify under a single agentic framework, but Juniper argues that providers capable of integrating multiple payment options stand to capture significant early market share. In Japan, where convenience store payments and QR-code methods coexist, the question of which protocol gains wide adoption will be a central concern.
The Trust Barrier and Practical Preparation for EC Operators
A second core argument in Juniper's report is that trust is the primary barrier to widespread adoption. For consumers to delegate payment authority to AI agents, they need confidence against risks like mistaken orders, duplicate charges, and unintended purchases. As a result, agentic commerce is expected to complement rather than replace existing e-commerce checkouts in the near term.
Indeed, analysis by Scott Benedict in Inside Retail notes that consumers are increasingly handing off candidate filtering to ChatGPT, Gemini, and Perplexity rather than browsing multiple websites. We are still in the "AI-as-researcher" phase, with autonomous purchasing positioned as the next stage.
The preparation required of EC operators is clear. First, catalogs must be structured in a machine-readable format that AI agents can parse. A Retailbiz piece by Glu's CTO warns that without machine readability, products become "invisible at the moment of recommendation." Second, when selecting payment providers, operators should verify support for the emerging protocols backed by the leaders on Juniper's leaderboard.
Conclusion
Juniper Research's $1.5 trillion projection is a symbolic figure marking agentic commerce's transition from the pilot phase into a full market formation period. Together with forecasts from McKinsey, Bain, and Morgan Stanley, 2030 is emerging as the industry's consensus inflection point.
The key question for the next 12 months is how far protocol standardization and consumer trust-building will progress. As Mastercard, Visa, and Stripe build out the infrastructure, EC operators should focus on three practical preparations: making product data machine-readable, designing journeys for AI agents, and connecting to trusted payment providers. Deciding where to position your business on the growth curve from $8 billion to $1.5 trillion is a strategic choice that cannot be deferred.
