Everyone assumes enterprise blockchain is a financial services story. Banks tokenizing assets. Payment rails getting upgraded. DeFi protocols courting institutional capital.
That narrative isn't wrong. But it's incomplete. And if you're building blockchain infrastructure or selling into enterprises, the incomplete version of the story is costing you deals.
We ran every company through a structured analysis pipeline, scoring each one against seven distinct problem dimensions where blockchain infrastructure can deliver measurable value. The problems we looked for: multi-party trust breakdowns, auditability gaps, provenance and traceability needs, cross-border friction, asset digitization opportunities, data integrity in adversarial environments, and digital transformation appetite.
Here's what we found.
The Numbers
Of the 1,089 companies we analyzed, 935 scored above our relevance threshold. That means 86% of major enterprises have at least one business problem where blockchain infrastructure could deliver meaningful value.
But the distribution is not what you'd expect.
Finance and insurance companies account for 106 of those 935 relevant enterprises. That's 11%.
The other 89% are spread across industries that rarely show up in blockchain conference keynotes.
- Healthcare and pharma: 53 companies
- Oil and gas: 46 companies
- Construction and engineering: 38 companies
- Industrial manufacturing: 34 companies
- Food and agriculture: 30 companies
- Retail: 30 companies
- Energy and utilities: 24 companies
- Semiconductors: 19 companies
- Aerospace and defense: 18 companies
- Automotive: 18 companies
- Chemicals: 16 companies
- Logistics: 10 companies
And here's the part that should change how you think about your pipeline: the highest average relevance scores didn't come from finance. Logistics companies averaged 0.89. Aerospace and defense averaged 0.84. Food and agriculture averaged 0.82. Finance averaged 0.81.
The industries with the deepest, most acute blockchain-relevant problems are the ones nobody is pitching.
What Finance Actually Wants (It's Not What You Think)
Let's start with the industry everyone expects. Yes, the big banks scored high. Goldman Sachs, Bank of America, Citigroup, and Morgan Stanley all came in at 0.95, the top of our scale. But look at what's actually driving those scores.
Goldman Sachs is planning significant headcount reductions despite rising profits. The signal our system flagged wasn't “Goldman wants to trade crypto.” It was “Goldman needs to maintain audit-grade reconciliation across multi-party workflows while cutting the people who currently do that work manually.” That's a blockchain problem. But it's an operational efficiency problem dressed in a suit, not a DeFi problem.
Citigroup is targeting 20,000 role cuts by the end of 2026. The blockchain signal there is about automating reconciliation and compliance recordkeeping across counterparties so that fewer people can maintain the same integrity guarantees. Settlement infrastructure, not token launches.
Morgan Stanley scored high because they're hiring crypto talent, but not for the reason the headlines suggest. They need regulatory-compliant digital asset infrastructure that integrates with their existing wealth management and brokerage platform. Custody. Identity. Entitlements. The boring plumbing that makes institutional adoption actually work.
The pattern across finance is clear: banks don't want blockchain to do new things. They want blockchain to do the things they already do, but with fewer people, better audit trails, and lower reconciliation costs. The entry point isn't innovation. It's operational survival.
The Real Story: Aerospace and Defense
The highest average relevance score outside of logistics came from aerospace and defense at 0.84. Every major defense contractor in our dataset scored 0.85 or above: RTX Corporation, Lockheed Martin, Boeing, General Dynamics.
Why? Because these companies operate supply chains where a single undocumented part substitution can ground a fleet or trigger a federal investigation.
Boeing's quality and fabrication issues in Commercial Airplanes are well documented. What our system flagged is the specific blockchain-relevant problem underneath: Boeing needs tamper-evident, cross-organization audit trails across manufacturing and supplier networks. Parts provenance. Inspection records. Nonconformance and rework history. When you're building aircraft, “trust me, the part is certified” isn't good enough. You need cryptographic proof that the part was manufactured, inspected, accepted, and installed in sequence, by authorized parties, with no gaps.
RTX Corporation (Raytheon) faces a similar challenge at scale. High reliance on hundreds of U.S. and non-U.S. suppliers, with cost and delivery disruption risk at every tier. Their signal wasn't about tokenizing anything. It was about creating shared, tamper-evident program records that reduce disputes and rework across parties working on multi-billion dollar defense contracts.
Lockheed Martin is centralizing digital transformation under a new SVP/CIO role. The blockchain signal we detected is about the compliance burden they impose on suppliers. Lockheed contractually requires suppliers to provide evidence of compliance with applicable laws and regulations on request. Collecting, verifying, and auditing that evidence across a sprawling supplier network is exactly the kind of multi-party trust problem that blockchain infrastructure was designed to solve.
This is a pattern: defense companies don't need blockchain for payments or trading. They need it because their supply chains are adversarial environments where trust is expensive, documentation is critical, and a single break in the chain of custody has consequences that range from cost overruns to national security failures.
Logistics: The Highest-Scoring Industry in Our Dataset
Logistics companies averaged 0.89 relevance. FedEx and UPS both scored 0.95.
FedEx is in the middle of a massive operational transformation called Network 2.0, consolidating its Express and Ground networks. The blockchain signal our system detected is specific: FedEx's finance team will not book cost savings from the DRIVE program unless station-level changes can be reconciled to audited savings records. There's an explicit risk of double-counting across programs. That's a textbook use case for immutable, audit-grade decision and change logs. FedEx doesn't need blockchain for shipment tracking. It needs blockchain to prove, internally and to investors, that the billions it's spending on transformation are actually producing the savings it claims.
UPS scored high on a different dimension: cybersecurity and data integrity across a network that spans 200+ countries. Multi-party coordination between shippers, carriers, brokers, and customs authorities creates reconciliation burden that scales with complexity. Shared, verifiable records between parties would reduce disputes, speed customs clearance, and provide the kind of defensible audit trail that regulators increasingly demand.
Food, Agriculture, and the Provenance Play
Food and agriculture companies averaged 0.82 relevance, higher than finance. Companies like PepsiCo, Sysco, and Archer-Daniels-Midland all scored 0.90.
The problem here is provenance. When a packaged food company has a contamination recall, the cost of not being able to trace the source within hours is measured in hundreds of millions of dollars and, in the worst cases, lives. The FDA's FSMA 204 rule is pushing food companies toward full traceability of “high-risk” foods. That means every entity in the supply chain needs to maintain and share Key Data Elements for every Critical Tracking Event.
That's a blockchain problem. Not because blockchain is the only way to do traceability, but because the multi-party nature of food supply chains means no single company controls the full record. You need shared infrastructure that every participant can trust without trusting each other.
ADM operates one of the largest agricultural commodity networks in the world. Their blockchain relevance isn't theoretical. It's driven by specific regulatory pressure (FSMA 204 compliance), commercial pressure (customers demanding provenance documentation), and operational pressure (multi-party coordination across growers, processors, transporters, and retailers who all maintain separate records of the same events).
Energy and Utilities: Regulated into Relevance
Energy and utilities scored 0.81, with 24 regulated electric utilities in our relevant set. These are companies where every operational decision faces regulatory scrutiny, and the cost of non-compliance is existential.
The blockchain signal in utilities is about auditability under regulatory pressure. Grid operators coordinate with generators, distributors, and regulators across jurisdictions with conflicting requirements. Every transaction, every capacity commitment, every compliance filing needs to be defensible. Today that means armies of compliance staff maintaining parallel records that frequently disagree with each other.
A shared, append-only record of grid events, capacity commitments, and compliance artifacts that all parties can verify independently would reduce the reconciliation burden and, more importantly, provide the kind of audit trail that holds up when a regulator comes asking questions.
Oil and Gas: 46 Companies and Counting
Oil and gas is the third-largest category in our analysis after “other” and finance. 46 companies across exploration, midstream, refining, and integrated operations.
The problem is multi-party coordination in an industry where every handoff (well to pipeline, pipeline to refinery, refinery to distributor) involves different companies, different measurement systems, and different incentive structures. Disputes over volume, quality, and timing are endemic. Reconciliation is manual, slow, and expensive.
ExxonMobil, Marathon Petroleum, and Phillips 66 all scored 0.90. The signals weren't about tokenized energy credits or carbon offset marketplaces. They were about creating shared records that reduce disputes between counterparties who handle the same physical commodity at different stages.
Midstream companies, the ones that operate pipelines and storage, averaged 0.80. These companies sit between producers and refiners, taking custody of product from one party and delivering it to another. The entire business model depends on accurate, defensible records of what was received, stored, and delivered. Today, that reconciliation happens through a combination of SCADA systems, manual tickets, and spreadsheets. The opportunity for blockchain infrastructure here isn't exciting. It's obvious.
What This Means If You're Selling Blockchain Infrastructure
The narrative that enterprise blockchain is primarily a financial services play is not just incomplete. It's actively misleading if you're using it to prioritize your go-to-market.
Here's what the data says:
- Finance is 11% of the opportunity. Important, but not dominant. If your entire pipeline is banks and asset managers, you're ignoring 89% of the market.
- The highest-urgency buyers are in industries with physical supply chains, regulatory pressure, and multi-party coordination problems. Aerospace, logistics, food, energy, oil and gas.
- The problems these companies want to solve are not the problems that dominate blockchain marketing. They don't want DeFi. They don't want NFTs. They don't want tokenization (mostly). They want audit trails, reconciliation, provenance, and compliance infrastructure that works across organizational boundaries.
- The L1s and L2s that will win enterprise adoption are the ones that solve for compliance, auditability, and multi-party trust by default. Not the ones optimizing for transaction throughput or DeFi composability.
- The buying trigger is almost never “we want to use blockchain.” It's “we need to prove what happened across 50 counterparties without hiring 200 more people.” If you lead with the technology, you'll lose. If you lead with the problem, the technology conversation follows naturally.
So Which Chains Actually Fit?
If you've read this far, the pattern is clear. The enterprises with the deepest blockchain-relevant problems need a very specific set of things:
- Permissioned environments where they control who validates and who sees data, because Boeing is not putting its supplier compliance records on a public mempool next to meme coin transactions.
- Customizable compliance rules at the network level, because a defense contractor and a food distributor have fundamentally different regulatory requirements.
- Sub-second finality, because supply chain reconciliation and audit workflows can't wait 12 minutes for confirmation.
- Native cross-chain communication, because multi-party coordination means multiple organizations running their own environments that still need to talk to each other.
- A credible path to production that doesn't require an enterprise to bet its infrastructure on a chain that's optimizing for retail DeFi.
Not every chain meets these requirements. Here are the three that come closest, and why one of them stands out.
Avalanche: The Architecture Enterprise Actually Needs
Avalanche is the chain whose architecture maps most directly to the problems we identified in this analysis. The reason is structural, not marketing.
The core differentiator is Avalanche L1s (formerly called Subnets). Each enterprise or consortium can deploy a sovereign blockchain with its own validator set, its own gas token (or no gas token at all), its own virtual machine, and its own compliance rules. A defense contractor running supply chain provenance can require that only cleared U.S.-based entities validate their chain. A food traceability consortium can enforce that every validator is a licensed participant in the supply chain. A bank can restrict data visibility to counterparties while still anchoring trust to the broader Avalanche network.
This isn't a theoretical capability. It's how the network is designed to work. Ava Labs launched the “Evergreen” suite specifically for institutional deployments, combining the scale of public blockchains with the security and control that enterprises require.
Avalanche Warp Messaging provides native cross-chain communication between these sovereign L1s without relying on third-party bridges, which have historically been the single largest source of security failures in blockchain. For the multi-party coordination problems we identified across logistics, oil and gas, and aerospace, this matters. FedEx and its network of carriers don't need to be on the same chain. They need to be on chains that can verify each other's records natively.
The HyperSDK framework lets enterprises build purpose-specific virtual machines from scratch. If you need a chain that processes supply chain events and nothing else, you can build exactly that. No smart contract overhead, no irrelevant opcodes, no attack surface from capabilities you don't use. For a defense contractor or a pharmaceutical company, reducing attack surface isn't a feature. It's a requirement.
Finality is sub-second.
Avalanche already has enterprise traction that validates the architecture. Deloitte built on Avalanche for more efficient FEMA disaster recovery fund disbursements. Citi and Wellington Management tested tokenized private equity on the Spruce Subnet, demonstrating how smart contracts could automate compliance and enable enhanced rule enforcement. In April 2025, WisdomTree expanded its tokenized fund platform to Avalanche, offering 13 SEC-registered funds (money markets, equities, fixed income) that investors can hold in self-custodial wallets across the network. These are not proofs of concept. They're production and near-production deployments by institutions with the same compliance and auditability requirements as the 935 companies in our dataset.
The combination of sovereign chain deployment, native cross-chain verification, custom VM support, and sub-second finality makes Avalanche the most complete answer to the enterprise requirements list above. No other L1 checks every box.
Hedera: Enterprise Governance by Design
Hedera takes a fundamentally different approach. Instead of letting enterprises deploy sovereign chains, Hedera operates a single high-throughput network governed by a rotating council of major corporations, including Google, IBM, Boeing, Dell Technologies, LG, and Deutsche Telekom.
The governance model is the selling point. Enterprises evaluating Hedera aren't choosing it for technical novelty. They're choosing it because the network is literally governed by companies like them. For organizations that need to justify a blockchain decision to a board of directors, “the network is governed by a council that includes Boeing and Google” is an easier conversation than explaining validator economics.
Hedera's council is also actively expanding into the exact industries this analysis identified as highest-opportunity. FedEx, which scored 0.95 in our analysis, joined the Hedera Council in February 2026 specifically to advance digital supply chain infrastructure. Their stated goal: enabling supply chains to operate at “the speed of data rather than the speed of paper.” Arrow Electronics, a Fortune 500 electronic components distributor, joined in mid-2025 to develop DLT-based supply chain solutions for real-time visibility, automated compliance checks, and predictive logistics. Repsol, the Fortune 500 energy company, joined in December 2025 for decentralized identity projects.
On the deployment side, Hedera has concrete, live use cases. Hyundai and Kia are using the Hedera Consensus Service to immutably record carbon emissions data across entire vehicle lifecycles. In February 2026, the TrackTrace platform launched on Hedera to track product data and carbon emissions for electric vehicle and industrial battery sectors, creating digital twins for physical products that log logistics history, manufacturing data, and material provenance. StegX has tokenized over $100 million in institutional real estate on the network.
Hedera's Consensus Service provides tamper-proof, ordered logs without requiring participants to run their own infrastructure. For the auditability and compliance use cases we identified in energy, utilities, and financial services, this is a legitimate fit. The fixed-fee model (transactions cost fractions of a cent) makes cost predictable in a way that gas-fee-based chains can't match.
The trade-off is flexibility. You get one network with one set of rules. You can't spin up a permissioned environment with custom validators and compliance constraints the way you can on Avalanche. For defense contractors who need cleared-only validator sets, or food consortiums that need industry-specific chain rules, Hedera's model is more constrained. But for enterprises that want a credible, governed shared ledger without the complexity of deploying their own infrastructure, Hedera is one of the strongest options in the market right now.
Ethereum Ecosystem: The Gravity Play
You can't write about enterprise blockchain without addressing Ethereum. Not because the Ethereum mainnet is enterprise-ready in its current form, but because the ecosystem surrounding it has produced the most enterprise-focused tooling and talent pool of any chain.
The most visible enterprise deployment is JPMorgan's Kinexys (formerly Onyx). Kinexys itself is a private, permissioned blockchain platform. It's not running on Ethereum mainnet. But JPMorgan has started bridging into the public Ethereum ecosystem as well. In 2025, they launched JPMD, a USD deposit token on Base (Coinbase's Ethereum L2), marking JPMorgan's first product offered on public blockchain infrastructure. Kinexys processes billions in daily institutional transactions across USD, EUR, and GBP, with live corporate clients including the London Stock Exchange Group and Trafigura. In January 2026, JPMorgan announced plans to integrate Kinexys with the Canton Network for privacy-enabled cross-chain settlement. This is the most advanced institutional blockchain deployment in the world.
EY has been one of the most committed enterprise advocates in the Ethereum ecosystem. Their Nightfall protocol, upgraded to version 4 in April 2025, is now a full zero-knowledge rollup that enables private transactions on Ethereum with near-instant finality. The upgrade replaced the previous optimistic rollup approach with cryptographic verification, eliminating challenge periods. EY integrates Nightfall into its OpsChain product, which is delivered through their SaaS platform. The Baseline Protocol, incubated by EY, Microsoft, and ConsenSys through the Enterprise Ethereum Alliance, uses zero-knowledge proofs to synchronize business processes across organizations using Ethereum as a common frame of reference without exposing data on-chain.
The Ethereum ecosystem also benefits from the largest developer community, the deepest tooling, and the most extensive security auditing of any blockchain. For enterprises that need to hire blockchain developers, Solidity is the language with the biggest talent pool.
The challenge is architectural. Ethereum mainnet still has variable gas fees, 12-second block times, and a public mempool. L2 solutions like Base, Arbitrum, and Optimism improve throughput and cost, but they inherit fundamental constraints from the base layer. Building a sovereign, compliance-controlled environment on Ethereum requires layering multiple technologies in ways that add complexity and expand attack surface. JPMorgan can manage that complexity because they have world-class engineering resources. Most enterprises don't.
The Bottom Line on Chains
The question for enterprise blockchain has never been “which chain is fastest?” or “which chain has the most TVL?” The question is: which chain lets an enterprise deploy exactly the infrastructure it needs, with exactly the controls it requires, without compromising on the trust guarantees that make blockchain worth using in the first place?
Hedera answers that with a governed, council-backed network that enterprises can plug into with minimal overhead, backed by real deployments from FedEx, Hyundai, and Arrow Electronics. Ethereum answers it with the deepest ecosystem and the most institutional gravity, proven by JPMorgan's Kinexys and EY's continued investment in privacy and interoperability tooling. Avalanche answers it with sovereign chain deployment, native cross-chain verification, and compliance controls built into the architecture from day one.
For the specific problems we identified across 935 enterprises, the problems around multi-party trust, auditability, supply chain provenance, and regulatory compliance, the architecture that requires the least assembly and offers the most control is Avalanche. That doesn't mean it's the right answer for every use case. But for the enterprises in this analysis, it's the most natural fit.
The Methodology
This analysis was produced by Blacklit's intelligence platform. We analyzed 1,089 companies using a combination of SEC filings, earnings call transcripts, financial data, company websites, and third-party research. Each company was scored against seven structured premises representing distinct blockchain-relevant business problems. Relevance scores range from 0 to 1, with 0.5 as the threshold for inclusion.
The scoring is buyer-facing: we're identifying companies with problems that blockchain infrastructure can solve, not evaluating blockchain vendors or protocols.
We didn't ask “is this company interested in blockchain?” We asked “does this company have a business problem where multi-party trust, auditability, provenance, or cross-border coordination is a constraint?” That distinction matters. Most enterprises with blockchain-relevant problems don't know they have blockchain-relevant problems. They know they have reconciliation costs, audit failures, supply chain disputes, or compliance gaps. The framing determines whether you get a meeting or get ignored.
What's Next
This is the first in a series of data-driven analyses from Blacklit. If you sell into enterprises and want to understand which companies actually need what you're building, we can help.
We produce prospect intelligence that identifies the specific problems a company has, scores their relevance to your product, and generates actionable sales playbooks with the opening line, the pain points to reference, and the objections to anticipate.
If you want to see what this looks like for your business, visit blacklit.ai.