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The cheapest digital infrastructure ETFs

A fee is one fact and not a verdict on the fund. Where the funds on a theme hold different companies, the cheapest is not even the same bet, and the holdings are on the theme page.

The cheapest digital infrastructure ETFs, ranked by the annual fee the fund charges, as of Sep 18, 2026. Source: ETFIQ.
#TickerFundFeeNet assetsWeight in S&P 500 companiesTotal return, 1Y
1IDGTiShares U.S. Digital Infrastructure and 0.37%$514m32.9%+30.9%
2KNCTInvesco Next Gen Connectivity ETF0.40%$160m64.1%+60.7%
3SRVRPacer Data & Infrastructure Real Estate 0.49%$331m61.8%−3.1%
4DTCRGlobal X Data Center & Digital Infrastru0.50%$2.2bn69.5%+40.0%
5RACKVanEck Data Center Supply Chain ETF0.50%$68m76.8%too new
6SNSRGlobal X Internet of Things ETF0.68%$209m27.4%+20.3%
7NXTGFirst Trust Indxx NextG ETF0.70%$566m35.2%+49.8%
8UFOXDefiance Space and Connective Tech ETF0.75%$947m49.6%+36.4%
9WUGIAXS Esoterica NextG Economy ETF0.84%$33m75.8%+17.5%

Method

The 9 of 9 ETFs in the digital infrastructure and data centers theme that publish an expense ratio, cheapest first. Across the funds listed here the annual fee runs from 0.4% to 0.8%. A fee is the one number a fund controls and the one a holder pays whatever happens. The ranking is the published field sorted, nothing else: no scoring, no weighting and no view on any fund. Every fund ETFIQ covers in this category is eligible, including funds that have closed, because leaving them out would flatter the category.

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Where these figures came from

ETFIQ links to the documents behind every figure. It is not affiliated with any issuer, and a link is not an endorsement.

A ranking is not a recommendation and no order on this site is an opinion. ETFIQ is an independent publisher, not an adviser. Standards and sources

Cite this page. ETFIQ, The cheapest digital infrastructure ETFs, ranked by the annual fee the fund charges, data as of Sep 18, 2026. https://etfiq.com/rankings/themes-cheapest-digital-infra Free to use with attribution; the underlying files are at Open data.