G2A and Juniper Research see trust as the next digital commerce growth driver

10 hours ago
G2A and Juniper Research see trust as the next digital commerce growth driver

By AI, Created 1:15 PM UTC, May 22, 2026, /AGP/ – G2A Group and Juniper Research say a new report finds trust infrastructure is becoming a competitive edge in global digital commerce. The survey of 9,000 consumers across nine countries points to digital wallets, platform security, and transparency as key factors shaping purchase decisions and AI adoption.

Why it matters: - G2A Group and Juniper Research frame trust as a growth lever, not just a compliance issue, for digital marketplaces. - The report says platforms that invest in security and payment confidence are positioned to outperform competitors on perceived trustworthiness. - Consumer expectations around fraud protection, payment choice, and AI control are shaping how digital commerce will grow next.

What happened: - G2A Group and Juniper Research published the “Trust in Digital Commerce” report on May 26, 2026. - The report is based on a survey of more than 9,000 respondents in nine countries: the US, UK, Canada, Germany, France, Italy, Spain, Poland and Brazil. - G2A launched the report at its summit, “The Trust Algorithm: Securing the Future of Digital Commerce in the Age of Agentic AI.” - The summit included speakers from Microsoft, Google, Mastercard, Akamai, Checkout.com, Forter, Allegro Pay and LSEG, among others.

The details: - The report says marketplaces outperform direct brand purchases in every country surveyed, not only on price and convenience but also on perceived trustworthiness. - 60% of respondents identified trusted digital wallets as the top security feature for building trust. - Digital wallets ranked ahead of multi-factor authentication and transparent privacy policies. - Digital wallets are now the preferred payment method in Germany, Poland and Italy. - 32% of respondents said they choose payment methods specifically to avoid sharing financial details with merchants. - 50% of respondents globally said e-commerce platforms are most responsible for security. - 30% assigned that responsibility to banks and payment providers. - 20% said consumers themselves are primarily responsible. - The report says consumers are increasingly willing to delegate security to trusted platforms, creating an advantage for marketplaces with strong trust infrastructure. - The findings also point to a growing expectation that platforms and financial institutions should absorb fraud risk, even as scams increasingly target human behavior. - Trust in AI scored 6 out of 10 overall. - Many respondents remained uncomfortable with AI agents making purchases for them. - The main concerns were lack of human control and data privacy.

Between the lines: - The report suggests trust is becoming part of the product experience, not just a back-office control. - Marketplaces that localize payment options and visibly reduce friction may have an edge in purchase completion. - Skepticism around agentic commerce appears tied more to unfamiliarity and control concerns than to outright rejection of AI. - Trust, transparency and user control are likely to determine which platforms win as AI-driven shopping expands.

What’s next: - The report says agentic commerce will not be adopted uniformly across markets. - Platforms that can prove security, explain AI behavior clearly and preserve user control are positioned to gain as adoption accelerates. - G2A says its security approach includes internal cyber defense, AI-supported solutions, external protection tools and a verification process for business sellers. - G2A says only verified business sellers are allowed on the platform, backed by a 48-business-seller verification procedure and a 25% approval rate. - More information is available in the full report.

The bottom line: - In digital commerce, trust is emerging as a measurable growth strategy, and payment security may be the clearest place to win it.

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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