The generative artificial intelligence (ai) in cryptocurrency market size is expected to see exponential growth in the next few years. It will grow to $4.32 billion in 2030 at a compound annual growth rate (CAGR) of 33.6%. The growth in the forecast period can be attributed to increasing institutional adoption of cryptocurrencies, rising investments in ai-powered trading platforms, expansion of decentralized finance applications, growing regulatory scrutiny of crypto markets, increasing demand for advanced risk management solutions. Major trends in the forecast period include increasing use of AI-based trading strategy generation, rising adoption of predictive market analytics, growing deployment of ai-driven fraud detection tools, expansion of algorithmic crypto trading platforms, enhanced focus on portfolio optimization models.
The growing adoption of digital currencies is expected to drive the expansion of the generative artificial intelligence (AI) in cryptocurrency market in the coming years. Digital currencies are a form of money that exists exclusively in digital format and are not issued or controlled by a central authority such as a government or central bank. The rise in digital currency adoption is fueled by more secure transactions, reduced fees, greater financial inclusion, and the ability to utilize innovative technologies like blockchain and smart contracts. Generative AI in cryptocurrency supports digital currencies by enhancing security through advanced fraud detection, optimizing trading strategies with predictive analytics, and automating complex blockchain operations, thereby improving efficiency and user experience. For example, in May 2025, according to a report published by the Financial Conduct Authority, a UK-based financial regulatory body, research indicates that as of August 2024, 93% of UK adults are aware of cryptoassets, and 12% of UK adults own crypto assets, estimated at around 7 million adults. Consequently, the rising adoption of digital currencies is propelling the growth of the generative artificial intelligence (AI) in cryptocurrency market.
Major companies in the generative artificial intelligence (AI) for cryptocurrency market are developing innovative solutions such as AI chatbots to boost user engagement, improve customer support, and offer personalized financial advice. An AI chatbot is a software application that utilizes generative AI to interact with users via text or voice interfaces. For example, in June 2023, Mudrex, an India-based cryptocurrency platform developer, introduced SatoshiGPT, an AI chatbot aimed at making cryptocurrency information more accessible and understandable for users. This tool addresses the knowledge gap many people encounter when navigating the complex world of cryptocurrencies. SatoshiGPT acts as a free educational resource, providing thorough insights into various aspects of the crypto ecosystem.
In September 2024, Pundi X, a Singapore-based developer of blockchain-powered devices, teamed up with Futureverse. This partnership will combine Pundi X's blockchain-based point-of-sale (POS) solutions with Futureverse's generative AI capabilities. The integration aims to improve the user experience for purchasing and using cryptocurrencies across different retail settings. Futureverse is a New Zealand-based technology company specializing in generative AI solutions for cryptocurrencies and the metaverse.
Major companies operating in the generative artificial intelligence (ai) in cryptocurrency market are Fetch.AI, SingularityNET, Ocean Protocol, Numerai, ChainGPT, Token Metrics, DeepBrain Chain, Alethea AI, Velas Network, Cortex Labs, Endor Protocol, Oraichain, Matrix AI Network, Rejuve AI, Humans AI, Covalent AI, Autonolas, NeuroChain AI, Modulus Labs, Ritual.
North America was the largest region in the generative artificial intelligence (AI) in cryptocurrency market in 2025. The regions covered in the generative artificial intelligence (ai) in cryptocurrency market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the generative artificial intelligence (ai) in cryptocurrency market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The generative artificial intelligence (AI) in cryptocurrency market consists of revenues earned by algorithmic trading, portfolio management, market analysis and forecasting, automated customer support, and automated customer support. The market value includes the value of related goods sold by the service provider or included within the service offering. The generative artificial intelligence (AI) in cryptocurrency market also includes sales of high-performance GPUs (Graphics Processing Units), TPUs (Tensor Processing Units), and specialized AI accelerators. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
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Table of Contents
Executive Summary
Generative Artificial Intelligence (AI) in Cryptocurrency Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses generative artificial intelligence (ai) in cryptocurrency market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for generative artificial intelligence (ai) in cryptocurrency? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The generative artificial intelligence (ai) in cryptocurrency market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Report Scope
Markets Covered:
1) By Component: Software; Service2) By Application: Price Prediction and Analysis; Trading Strategy Optimization; Risk Management and Portfolio Optimization; Market Sentiment Analysis; Fraud Detection and Security
3) By End-User: Individual Traders and Investors; Institutional Investors; Cryptocurrency Exchanges; Financial Services Providers; Research and Analytics Providers; Other End-Users
Subsegments:
1) By Software: AI-based Trading Algorithms; AI-based Fraud Detection Software; AI-based Portfolio Management Tools; AI-based Market Prediction Software2) By Service: Consulting Services; Integration Services; Support & Maintenance Services; Managed Services
Companies Mentioned: Fetch.AI; SingularityNET; Ocean Protocol; Numerai; ChainGPT; Token Metrics; DeepBrain Chain; Alethea AI; Velas Network; Cortex Labs; Endor Protocol; Oraichain; Matrix AI Network; Rejuve AI; Humans AI; Covalent AI; Autonolas; NeuroChain AI; Modulus Labs; Ritual
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits:
- Bi-Annual Data Update
- Customisation
- Expert Consultant Support
Companies Mentioned
The companies featured in this Generative Artificial Intelligence (AI) in Cryptocurrency market report include:- Fetch.AI
- SingularityNET
- Ocean Protocol
- Numerai
- ChainGPT
- Token Metrics
- DeepBrain Chain
- Alethea AI
- Velas Network
- Cortex Labs
- Endor Protocol
- Oraichain
- Matrix AI Network
- Rejuve AI
- Humans AI
- Covalent AI
- Autonolas
- NeuroChain AI
- Modulus Labs
- Ritual
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 250 |
| Published | January 2026 |
| Forecast Period | 2026 - 2030 |
| Estimated Market Value ( USD | $ 1.36 Billion |
| Forecasted Market Value ( USD | $ 4.32 Billion |
| Compound Annual Growth Rate | 33.6% |
| Regions Covered | Global |
| No. of Companies Mentioned | 20 |


