ETFBOOK is aggressively targeting the global expansion of its specialized data intelligence layer to address the widening gap between surging ETF assets and fragmented market infrastructure. The Zurich-headquartered firm, operating as SquaredData AG, has secured $13M in a funding round led by Expedition Growth Capital, with continued participation from BlackFin Capital Partners. This capital injection is intended to facilitate the company's transition from a dominant EMEA presence into the AMER and APAC markets. By establishing new operational hubs in New York and Hong Kong, ETFBOOK aims to provide a unified, AI-enhanced data source for an industry where managed assets are projected to reach $35T by 2030.
ETFBOOK Targets Global Data Fragmentation
The company is positioning its platform as a necessary corrective to the current state of ETF market infrastructure, which it claims lacks a unified perspective. While global ETF assets have reached $25T AuM, ETFBOOK suggests that the underlying data remains siloed across various vendors, formats, and languages. This fragmentation often forces financial institutions to rely on manual reconciliation processes to manage the influx of new products. According to ETFBOOK data as of September 2026, the market saw over 1,320 new funds launched in Europe and the US so far this year, averaging approximately seven new listings every trading day.
To address this, ETFBOOK is deploying an "ETF-native" intelligence layer designed to normalize fragmented data into a single source of truth. The company's current offering is segmented into three distinct functional areas: programmatic data access via APIs for custom tool building, a proprietary web application for multi-seat dashboard analytics, and a "Workforce" segment that allows clients to integrate verified ETF data into their own mission-critical workflows. The new funding will specifically support expanding data coverage, enhancing web application use cases, and scaling the technical delivery hub in Cracow.
Scaling Infrastructure via AI and Regional Expansion
ETFBOOK is leveraging this $13M round to move beyond its established EMEA client base, which currently exceeds 70 enterprise clients and has seen recurring revenue grow by more than 100% annually over recent years. A core component of this scaling strategy involves integrating an AI conversational layer into its product suite to assist with data ingestion and processing. The company is positioning this AI-native approach as a way to decouple operational growth from linear headcount increases, allowing a lean team of domain experts to manage a growing global ecosystem.
The geographic expansion is being reinforced by strategic leadership shifts and new physical presences. ETFBOOK is establishing a US entity and a New York office to support its AMER push, bolstered by the appointment of Steve Twomey, a Partner at Expedition Growth Capital, to its Board of Directors. Furthermore, the company plans to open an office in Hong Kong to capture the APAC market. This expansion targets a diverse client spectrum, including ETF issuers, fund administrators, market makers, authorized participants, and various buy-side entities such as hedge funds and asset managers.
Key Takeaways
- ETFBOOK raised $13M in a funding round led by Expedition Growth Capital and supported by BlackFin Capital Partners to expand into AMER and APAC regions.
- The company reports that global ETF assets have reached $25T AuM and are projected to hit $35T by 2030.
- ETFBOOK currently serves over 70 enterprise clients in EMEA and maintains an annual recurring revenue growth rate exceeding 100%.
FinanceInsyte's Take
In our view, ETFBOOK’s move into the AMER and APAC markets is a calculated bet on the inevitable professionalization of ETF data infrastructure. As capital shifts from traditional mutual funds toward ETFs, the sheer velocity of new fund launches—averaging seven per day according to the company—is outstripping the capacity of generalist data providers and manual back-office processes. By focusing exclusively on the ETF niche rather than attempting to be a broad financial data behemoth, ETFBOOK is attempting to build a "moat" through specialized, high-fidelity datasets. The emphasis on an AI-native architecture is particularly telling; it suggests the company recognizes that scaling a data business in a high-velocity market requires automated normalization rather than just adding more analysts. If they can successfully bridge the gap between fragmented regional data layers and provide a truly global "single source of truth," they could become indispensable infrastructure for the next decade of ETF growth.
Questions & Answers
How does ETFBOOK intend to utilize the $13M in new capital?
The company plans to use the funds to expand its data coverage into more markets, enhance its proprietary web application's analytics capabilities, and establish a physical presence in New York and Hong Kong while expanding its technical hub in Cracow.
What specific market gap is ETFBOOK attempting to fill for institutional clients?
ETFBOOK is targeting the lack of a unified, "ETF-native" data source. The company claims that current market participants struggle with fragmented data from multiple vendors and must often rely on manual reconciliation to manage the rapid influx of new ETF products.
What is the projected growth trajectory for the global ETF market according to ETFBOOK?
ETFBOOK data indicates that global ETF managed assets (AuM) have reached $25T and are on a trajectory to reach $35T by the year 2030.
Which types of financial institutions are the primary targets for ETFBOOK's services?
The platform is designed for a wide range of ecosystem participants, including ETF issuers, fund administrators, market makers, authorized participants, asset managers, wealth managers, and hedge funds.
Source: Businesswire
