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embedded finance
Trends
- 1BBVA and eDreams sign banking-travel partnership for Italy and Germany▼BBVA and eDreams sign strategic agreement to connect digital banking and travel in Italy and Germany
BBVA and eDreams have signed a strategic agreement to connect digital banking and travel services, starting in Italy and Germany. The partnership will integrate travel offerings into BBVA's digital banking channels, giving bank customers access to eDreams' travel products. The deal reflects a broader push by banks to embed non-financial services into their apps and deepen customer engagement.
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New research forecasts that embedded finance revenue will grow to US$617 billion by 2031, reflecting the rapid expansion of financial services integrated directly into non-financial platforms such as retail, software and marketplaces. Analysts expect payments, lending and insurance offered through these channels to become a major revenue stream for banks and fintechs as partnerships accelerate across industries.
- 3Manifest Joins Chainguard's Athena Coalition on Open-Source Risk▼Manifest Joins Chainguard's Athena Coalition to Find Open-Source Risk Inside Software Products
Manifest has joined Chainguard's Athena Coalition, an initiative aimed at identifying open-source software risk inside commercial software products. The announcement was carried by Business Wire and picked up by outlets including Yahoo Finance. The coalition brings companies together to improve visibility into the open-source components embedded in software supply chains, a growing concern after a series of high-profile supply chain attacks.
- 4Will AI in finance expand access or deepen gender inequality?▼Expanding access or compounding inequality? Gender, finance, and AI
Researchers at Stanford's Clayman Institute are examining whether artificial intelligence in financial services broadens access for women or reinforces existing gender inequalities. The debate centres on whether AI-driven lending, credit scoring and financial tools reduce human bias, or instead replicate and scale the discrimination already embedded in data and systems.