Banking Technology Market Research

Banking technology is a union of several unrelated disciplines. It includes information technology, finance, communication technology, computer science, and marketing science. The term refers to the use of these disciplines to glean high-level information. This information will enable banks to offer better services to customers. With banking tech, banks can provide consistent, secure, affordable services. They can also maintain competitive advantages over other banks.
Understanding Banking Technology Étude de marché
Banking technology market research involves studying emerging trends, evaluating technological solutions, and assessing consumer preferences to inform strategic decision-making within the banking industry. This type of research aims to identify opportunities for innovation, optimize operational efficiency, and enhance the overall customer experience within banking institutions.
Banking Technology Market Research: How Leading Institutions Convert Spend Into Advantage
Banking technology market research separates institutions that capitalize on platform shifts from those that fund them. The difference is rarely budget. It is the quality of evidence guiding sequencing, vendor selection, and customer adoption assumptions.
Core modernization, ISO 20022 migration, account-to-account payments, and embedded finance are reshaping where banks earn margin. Each carries multi-year commitments and irreversible architectural choices. Banking technology market research is the discipline that pressure-tests those choices against actual buyer behavior, competitor positioning, and regulatory trajectory before capital is locked in.
What Banking Technology Market Research Actually Measures
The work spans four evidence layers: demand-side buyer research with treasurers, CFOs, and retail customers; supply-side vendor and fintech benchmarking; regulatory and scheme intelligence covering PSD3, open banking mandates, and scheme tokenization rules; and economic modeling around interchange optimization, merchant acquiring margin compression, and payment hub architecture costs.
Strong programs combine all four. A core banking replacement evaluated only against vendor demos misses the customer migration risk. A real-time payments business case built only on scheme volumes misses the corporate treasurer’s actual cash application workflow. SIS International Research has found in structured interviews with receivables managers across commercial real estate, healthcare, manufacturing, and utilities that the gap between stated demand for real-time settlement and operational readiness to consume it remains the single largest source of overestimated revenue in payment modernization business cases.
Where the Growth Is Concentrated
Five segments are absorbing the majority of incremental banking technology spend. Each has a distinct research profile.
| Segment | Primary Buyer | Research Priority |
|---|---|---|
| Core banking modernization | CIO, COO | Migration risk, vendor TCO, parallel-run economics |
| ISO 20022 migration | Head of Payments | Corridor readiness, data-rich messaging monetization |
| Embedded finance and BaaS | Chief Digital Officer | Distribution partner economics, sponsor bank risk |
| Fraud and CNP defense | Chief Risk Officer | Card-not-present fraud loss curves, tokenization lift |
| Treasury and corporate portals | Head of Commercial Banking | Workflow ethnography, switching cost mapping |
Source: SIS International Research
The pattern across these segments is consistent. Vendors sell capability. Buyers buy outcomes inside specific workflows. Research that does not observe the workflow predicts the wrong adoption curve.
The Methodology Mix That Produces Decision-Grade Evidence
Banking technology market research delivers when methodology matches the decision. Four approaches recur in programs that hold up under board scrutiny.
B2B expert interviews with treasurers, payment operations leads, and core banking architects surface the actual evaluation criteria behind RFPs. Stated criteria and decision criteria diverge sharply in this category. Skilled interviewers close that gap.
Ethnographic research inside treasury management portals and branch operations reveals friction that surveys miss. Watching a receivables manager reconcile a same-day ACH return against a corporate ERP exposes integration gaps that vendor scorecards never capture.
Quantitative segmentation sized against installed base and switching propensity converts qualitative signal into a defensible TAM. The discipline is segmenting by behavior and contract maturity, not by asset tier alone.
Veille concurrentielle covering fintech entrants, scheme operators, and regional incumbents establishes white space. In payments specifically, the entrants worth tracking are rarely the ones generating press coverage.
In SIS International’s mobile banking market entry work in Poland and the Czech Republic, the decisive insight came not from competitive feature mapping but from observed differences in how Eastern European consumers sequence trust signals during onboarding, which reordered the client’s launch feature roadmap.
The Geographies Where Evidence Quality Determines Outcomes
Three regional patterns matter for global banking technology investors.
Asia-Pacific markets including India, China, South Korea, and Malaysia are running ahead on real-time rails, super-app distribution, and AI-driven underwriting. Research here requires local-language qualitative work and direct regulator engagement. Imported assumptions from US or UK markets fail consistently.
CIS markets including Azerbaijan, Uzbekistan, and Kazakhstan are absorbing payment infrastructure investment as banking penetration deepens. SIS International’s market assessment work for payment solution providers entering CIS banking has shown that persona research at the issuer and processor level produces materially different go-to-market sequencing than desk research alone, particularly around scheme participation economics and central bank licensing pathways.
Eastern Europe, including Poland, Czech Republic, and Romania, sits between Western European regulatory sophistication and emerging-market growth dynamics. Mobile-first adoption curves here often outpace product roadmaps built for Western European consumers.
The Evidence Hierarchy That Distinguishes Strong Programs
Banking technology market research programs that consistently produce capital-grade evidence follow a hierarchy. Vendor-supplied analyst reports sit at the bottom. Syndicated data sits in the middle. Primary research with named buyers, observed workflows, and validated economics sits at the top.
The reason is structural. Vendor-funded research selects for vendor-favorable framing. Syndicated data describes the market that existed when the panel was fielded. Primary research describes the market the bank will compete in next quarter. For decisions involving payment hub architecture, scheme tokenization strategy, or core banking selection, only the third layer holds up under audit.
An Original Framework: The Banking Technology Evidence Matrix

Programs benefit from sorting research investment against two axes: decision reversibility (low to high) and buyer behavior visibility (low to high).
| Quadrant | Profile | Recommended Methodology |
|---|---|---|
| Irreversible / Low Visibility | Core platform selection, market entry | Ethnography plus expert interviews plus competitive intelligence |
| Irreversible / High Visibility | Pricing migration, scheme participation | Quantitative segmentation plus economic modeling |
| Reversible / Low Visibility | Feature prioritization, UX changes | VOC programs plus usability testing |
| Reversible / High Visibility | Campaign optimization, channel mix | A/B testing plus syndicated benchmarks |
Source: SIS International Research framework
The matrix exists because most banks overspend on the bottom-right quadrant and underspend on the top-left, where research dollars produce the highest decision leverage.
What VP-Level Buyers Get Wrong About Sizing

Two sizing errors recur in banking technology business cases. The first is treating addressable accounts as addressable revenue. A treasury portal capability addressable to fifty thousand mid-market corporates does not produce fifty thousand sales. Switching costs, contract maturity, and parallel-run risk compress the realistic capture window.
The second is underweighting card-not-present fraud and reconciliation drag in payment modernization economics. The headline revenue from real-time payments often funds the operational cost of handling the exceptions they generate. Banking technology market research that models both sides of the ledger produces business cases that survive the second board review.
The Capability Banks Are Building

The institutions converting technology spend into competitive advantage share a pattern. They commission primary research before vendor shortlists, not after. They observe buyer workflows before writing requirements. They model regulatory trajectory across PSD3, ISO 20022, and open banking mandates as a system, not as isolated compliance programs. They treat banking technology market research as a recurring capability, not a one-time procurement input.
The competitive advantage compounds. Each cycle of evidence sharpens the next decision. Banks operating on this cadence are the ones whose digital roadmaps land on schedule and whose payment platforms earn the margin their business cases promised.
À propos de SIS International
SIS International offers Quantitative, Qualitative, and Strategy Research. We provide data, tools, strategies, reports, and insights for decision-making. We also conduct interviews, surveys, focus groups, and other Market Research methods and approaches. Contactez nous pour votre prochain projet d'étude de marché.

