A new edition of the Crypto Research Report (CRR) presented an ambitious long-term outlook for major digital assets, led by a projection that bitcoin could approach $400,000 by 2030. The report applies what it calls the equation of exchange model, an absolute valuation framework designed to estimate what a crypto asset should be worth based on assumptions about supply, demand, and market penetration.
According to the report, bitcoin was expected to reach $19,044 in 2020, then rise to $341,000 in 2025, and ultimately to $397,727 in 2030. CRR also outlined forecasts for several other large-cap cryptocurrencies, including ethereum, bitcoin cash, litecoin, and stellar, arguing that their future valuations can likewise be inferred from their potential share of addressable economic activity.
How the valuation framework works
CRR described the equation of exchange model as an absolute approach to crypto valuation. In contrast to methods that focus primarily on relative pricing or technical market behavior, this framework aims to derive a target price by linking the value of a crypto network to assumptions about its eventual use across specific economic functions. The report said the method is inspired by Mill’s equation of exchange, later formalized by Irving Fisher.
At the center of the model is the concept of total addressable market (TAM). The researchers argued that by estimating how much of a relevant market a cryptocurrency could penetrate over time, it becomes possible to infer a future valuation. In simple terms, if a network captures a larger share of economic activity, the model assigns it a correspondingly higher implied price.
After reviewing the key variables and addressable markets for major crypto assets, the team produced long-range price estimates not only for BTC but also for ETH, LTC, BCH, and XLM. The report did not frame these outcomes as certainties; rather, they were presented as model-driven targets based on explicit adoption assumptions.
Bitcoin’s projected path and the adoption thesis
The most attention-grabbing conclusion in the report was bitcoin’s projected trajectory. CRR argued that bitcoin remained very early in its adoption curve. Using bitcoin’s end-2019 price of $7,200 as a reference point, the researchers estimated that the asset had penetrated less than 0.44% of its total addressable markets. On that basis, they contended that if bitcoin’s market penetration were to eventually reach 10%, its non-discounted utility price could rise to nearly $400,000.
This thesis is rooted in the idea that bitcoin’s value is not limited to one use case. Instead, the report treats bitcoin as a network that could serve several overlapping financial and monetary roles, including store of value, medium of exchange, and possibly even reserve-related functions. The broader the network’s real-world reach, the larger the valuation envelope generated by the model.
CRR’s assessment therefore rests less on short-term trading cycles and more on whether bitcoin can continue to expand from a niche asset into a more widely used financial instrument. In this framework, adoption matters more than speculation alone, even though speculation remains an important component of current market activity.
A $212 trillion market opportunity
One of the most important assumptions in the report is the scale of the opportunity set. CRR estimated that the total addressable market for all cryptocurrencies today is approximately $212 trillion. That figure includes a wide range of categories: unit of account, medium of exchange, consumer loans, offshore accounts, reserve currency, store of value, online transactions, remittances, micropayments, the unbanked, gaming, crypto trading, ICO funding, and STO funding.
Among these categories, the researchers identified medium of exchange as the largest use case for cryptocurrencies overall. That finding is notable because much of the public discussion around bitcoin often centers on digital gold narratives and treasury diversification. CRR’s model suggests that transactional utility still plays a major role in valuation, at least when assessing crypto assets across the full range of their possible economic functions.
By using TAM as a core input, the report effectively argues that current crypto valuations should be judged against a much broader horizon than today’s transaction volumes might imply. In other words, the model assumes that the present scale of adoption is not the end state but only an early phase in a longer monetization cycle.
Forecasts for ethereum and bitcoin cash
While bitcoin dominated the report, CRR also published explicit forecasts for other major assets. Ethereum was projected to reach $331 in 2020, $3,549 in 2025, and $3,644 in 2030. Bitcoin cash, meanwhile, was forecast at $414 in 2020, $6,690 in 2025, and $13,016 in 2030.
These forecasts reflect the same modeling logic applied to bitcoin: estimate the markets each asset can serve, determine a plausible adoption path, and convert that into an implied valuation. The report also covered litecoin and stellar, indicating that the methodology was intended as a multi-asset framework rather than a bitcoin-only thesis.
Still, the relative differences in projected upside suggest that CRR saw materially different addressable opportunities or adoption dynamics across networks. That is a reminder that even in broad bullish analyses, not all crypto assets are treated as interchangeable.
User growth, wealth effects, and velocity trends
Beyond valuation estimates, the report highlighted data on adoption and network behavior. CRR estimated that there were already more than 40 million cryptocurrency users globally. It also noted a positive correlation between the number of crypto users in a country and that country’s GDP per capita, implying that higher-income economies tend to exhibit stronger crypto adoption.
This observation matters because it connects digital asset growth to broader economic development patterns. If adoption is stronger in wealthier markets, then crypto expansion may continue to track rising digital financial participation, capital availability, and access to investment infrastructure.
The report also examined transaction velocity and found that on-chain velocity for most coins was decreasing, while off-chain velocity was increasing and had reached an all-time high. CRR interpreted this as evidence that speculation and savings were outpacing other crypto use cases. In practical terms, the team said there was evidence that speculative transaction growth on exchanges was faster than growth in the use of cryptocurrencies for purchasing goods and services.
That distinction is important. It suggests that while adoption is increasing, a significant portion of current activity may still be concentrated in trading venues and portfolio behavior rather than everyday commercial settlement. For valuation models, this creates both an opportunity and a risk: speculative participation can accelerate network attention, but long-term sustainability may depend on broader utility.
What the report ultimately implies
CRR’s conclusions were unmistakably optimistic, particularly for bitcoin. The central message is that if crypto assets continue to expand into large addressable markets and deepen user adoption, current prices may represent only a small fraction of their eventual modeled value. Under those assumptions, bitcoin nearing $400,000 by 2030 becomes a function of market penetration rather than a purely speculative number.
At the same time, the report’s targets are only as durable as the assumptions behind them. Adoption rates, regulatory developments, macroeconomic conditions, and real-world utility all influence whether such valuation frameworks hold up over time. The analysis therefore offers a structured bullish case, not a guaranteed outcome.
Even so, the report remains notable for trying to tie crypto prices to measurable economic categories rather than relying solely on sentiment or technical indicators. For readers looking to understand how analysts build long-term digital asset forecasts, CRR’s equation-of-exchange approach provides a clear example of how market size, penetration, and user growth can be combined into a coherent valuation thesis.