> ## Content Index > Fetch the complete content index at: https://blog.bubblemaps.io/llms.txt > Use this file to discover other available public pages before exploring further. # What Is Blockchain Analytics? How It Works and Why It Matters - URL: https://blog.bubblemaps.io/what-is-blockchain-analytics-how-it-works-and-why-it-matters/ - Published: 2026-10-16T17:58:09.000Z - Updated: 2026-10-16T17:58:09.000Z - Description: Blockchain transactions are public, but understanding what they reveal is not always easy. Thousands of wallet addresses can interact with one another, move tokens between chains, and create transaction patterns that are difficult to interpret without the right tools. - Author: Bubblemaps Blockchain analytics is the process of examining blockchain data to understand transactions, trace funds, investigate wallet relationships, and identify suspicious activity. It is used by crypto investors, blockchain researchers, exchanges, compliance teams, and law enforcement. From investigating crypto hacks to performing token holder analysis before buying a meme coin, blockchain analytics helps turn raw on-chain data into actionable information. ## **What Does Blockchain Analytics Do?** Blockchain analytics helps users understand what is happening across public blockchain networks. Instead of looking at individual transactions in isolation, analysts can examine patterns, follow money flows, and investigate relationships between wallet addresses. Some of its most common uses include: - **Tracking transactions:** Following cryptocurrency movements between wallets, protocols, and exchanges. - **Wallet clustering:** Identifying groups of addresses that may be connected through funding relationships or transaction behavior. - **Token holder analysis:** Understanding who holds a token, how concentrated its supply is, and whether major holders appear connected. - **Detecting suspicious activity:** Investigating unusual transfers, potential scams, money laundering, and coordinated wallet behavior. - **Monitoring markets:** Tracking large holders, token movements, and changes in on-chain activity. On-chain analytics can also help researchers understand how capital moves through DeFi protocols, identify changes in token distribution, and investigate activity that might otherwise go unnoticed. The goal is to move beyond individual transactions and understand the bigger picture. ## **Who Uses Blockchain Analytics?** Blockchain analytics is used by several groups across the cryptocurrency ecosystem. **Crypto investors and researchers** use analytics tools to research tokens, examine large holders, and understand how wallets behave before making investment decisions. **Exchanges and financial institutions** use blockchain intelligence to monitor transactions, assess risks, and support compliance with anti-money-laundering requirements. **Law enforcement agencies** use blockchain analysis to trace stolen funds, identify criminal networks, and find potential points where illicit cryptocurrency can be frozen or seized. Some blockchain analytics companies, such as Chainalysis, TRM Labs, and Elliptic, specialize in risk intelligence and compliance. Other blockchain analytics companies, like Bubblemaps, focus on visual on-chain research, helping users understand wallet relationships, analyze token holder distribution, and identify potentially connected wallets through interactive visual maps. ## **How Bubblemaps Helps With On-Chain Analytics** One of the biggest challenges in blockchain analysis is understanding how individual wallets relate to one another. A token may have hundreds of holders, but the number of addresses does not necessarily tell you how many independent holders control the supply. This is where Bubblemaps becomes useful. Bubblemaps turns token holder data into an interactive map. Each bubble represents a wallet, its size reflects its token holdings, and connections between bubbles help reveal relationships between addresses. This makes it easier to perform token holder analysis and investigate potentially connected wallets without manually examining every address. For example, imagine that five wallets each hold 3% of a token's supply. Individually, their positions might not seem especially significant. However, if on-chain analysis reveals connections between those wallets, their combined 15% position becomes more relevant. Wallet clustering helps researchers investigate these relationships and determine whether the apparent distribution of a token tells the whole story. Bubblemaps is particularly useful for token due diligence, meme coin research, identifying concentrated ownership, and monitoring changes in holder distribution over time. It also gives researchers a visual way to track wallets on chain and investigate how token ownership changes. Importantly, a detected connection does not automatically prove common ownership or wrongdoing. It is a signal to investigate further. ## **A Real-World Example: The Ronin Bridge Hack** One of the clearest examples of blockchain analytics in action was the 2022 Ronin Bridge hack. In March 2022, attackers stole cryptocurrency worth more than $600 million from Ronin Network, the blockchain associated with the Axie Infinity game. The incident involved the unauthorized withdrawal of 173,600 ETH and 25.5 million USDC. The attackers subsequently moved the stolen assets through multiple wallets and used various techniques to make the transactions harder to follow. But the transactions still left a record on the blockchain. According to[ Chainalysis's investigation](https://www.chainalysis.com/blog/axie-infinity-ronin-bridge-dprk-hack-seizure/?ref=blog.bubblemaps.io), its incident-response team worked with law enforcement and other industry participants to trace stolen funds through complex transaction flows and identify points where the cryptocurrency could be frozen. In September 2022, more than $30 million in stolen cryptocurrency had been seized with the help of these investigative efforts. The attackers had used thousands of wallet addresses and moved funds across different networks, illustrating why blockchain analytics must go beyond looking at individual transactions. The case demonstrated three important things: - **Public transactions create an investigative trail.** Even when funds move through multiple wallets, researchers can follow the on-chain activity. - **Tracing funds requires specialized analysis.** Analysts need to connect transactions and follow movements across addresses and blockchains. - **Analytics can support fund recovery.** Tracing can help investigators identify opportunities to freeze or seize stolen assets, although it does not guarantee recovery. Blockchain analytics did not prevent the original hack, and the recovery represented only a portion of the stolen funds. However, the investigation showed how transaction tracing and collaboration between analysts, law enforcement, and crypto businesses can make it harder for attackers to cash out. ## **How to Start Analyzing Blockchain Data** You do not need to be a professional investigator to begin exploring public blockchain data. A practical workflow starts with a clear question: Are you trying to understand a token's distribution, investigate a wallet, or trace a transaction? From there, you can: **1\. Identify the wallet or token.** Start with a wallet address, transaction hash, or token contract. **2\. Examine the activity.** Review balances, transfers, transaction history, and interactions with other addresses. **3\. Look for relationships.** Investigate funding sources and connections between wallets. Wallet clustering can help identify patterns that individual transaction records do not immediately reveal. **4\. Add context.** Consider whether addresses belong to exchanges, liquidity pools, project treasuries, or other known entities before drawing conclusions. **5\. Follow the changes over time.** Look at how funds move and how token ownership changes, rather than relying on a single snapshot. For transaction-level analysis, blockchain explorers and specialized analytics platforms can help trace fund movements. For visual token holder analysis, Bubblemaps offers a more intuitive way to understand wallet distribution and connections. ## **What Are the Limitations of Blockchain Analytics?** Blockchain analytics is powerful, but it does not reveal everything automatically. Wallet addresses are generally pseudonymous: public transaction data does not inherently identify the person controlling an address. Analysts may infer connections from transaction history, funding relationships, and known address information, but those conclusions require context. Likewise, two wallets interacting with the same exchange or protocol does not necessarily mean they share an owner. Reliable blockchain analysis therefore combines on-chain evidence with careful interpretation. Clusters, transaction patterns, and risk indicators should be treated as investigative leads rather than definitive proof of identity or misconduct. ## **Final Thoughts** Blockchain analytics helps make sense of the activity happening across cryptocurrency networks. It allows users to analyze transactions, trace funds, identify wallet relationships, and understand how tokens are distributed. From professional efforts to trace funds after the Ronin Bridge hack to everyday token due diligence, on-chain analytics turns publicly available blockchain data into useful intelligence. Tools like Chainalysis support blockchain intelligence for risk and compliance, while Bubblemaps makes visual wallet research and token holder analysis more accessible. [How to Use Bubblemaps: A Step-by-Step Guide for BeginnersIf you've heard about Bubblemaps but haven't used it yet, this guide is for you. By the end of it, you'll know how to look up any token, read the bubble map, interpret what you're seeing, and use the core features that make Bubblemaps one of the most useful tools in crypto research.![](https://storage.ghost.io/c/19/d2/19d2abd6-b3d7-45da-8e65-9ec46f80625e/content/images/icon/em-logo2-03ecb3c9-92f3-4709-86fe-cc2ce3275583.png)Bubblemaps UpdatesBubblemaps![](https://storage.ghost.io/c/19/d2/19d2abd6-b3d7-45da-8e65-9ec46f80625e/content/images/thumbnail/blog-image-stepbystep-03681b23-397a-4f09-9ab6-9a0ca54df154.png)](https://blog.bubblemaps.io/how-to-use-bubblemaps-a-step-by-step-guide-for-beginners/) Whether you want to understand suspicious activity, research a token's largest holders, or track wallets on chain, the principle is the same: look beyond individual transactions to understand the relationships and patterns behind them.