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| Data Timeline | Historical Data: 2022–2025 | Base Year: 2025 | Forecast Period: 2026–2034 |
|---|---|
| Component Segment | Services, Platform or Tools |
| Deployment Mode Segment | Cloud-based, On-premises |
| Organization Size Segment | Large Enterprises, Small & Medium Enterprises (SMEs) |
|---|---|
| Technology Segment | ML-based, NLP-based, Context-Aware Computing-based, Computer Vision-based |
| Vertical Segment | Telecom and IT, Energy and Utilities, Government, Banking, Financial Services & Insurance (BFSI), Healthcare and Life Sciences, Manufacturing, Media and Entertainment, Retail and Consumer Goods, Travel and Transportation, Other Verticals |
| Application Segment | Smart Contracts, Payment and Settlement, Governance, Data Security, Data Sharing/Communication, Asset Tracking and Management, Logistics and Supply Chain Management, Business Process Optimization, Other Applications |
| By Pricing Model Segment | Subscription (SaaS), License-based, Freemium |
| Regions & Countries |
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Blockchain AI technology allow for the monetization of data Enhanced productivity and automation Growing demand for transparent and reliable AI systems Enhanced security and fraud detection
Limited blockchain AI experts High startup costs for blockchain AI technologies
Growing acceptance of cloud-based security solutions Rising healthcare data management
Country-level data · Company profiles · Editable dataset · Analyst consultation included.
| Region / Country | 2021 (A) | 2025 (A) | 2033 (P) | CAGR |
|---|
A = Actual · E = Estimated · P = Projected · 🔒 Locked values require full access. Click headers to sort.
Unlock full regional dataset →Charts are illustrative — exact values, country-level breakdowns, and full forecast in the paid report. Request a Free Sample PDF.
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The global AI In Blockchain industry is fragmented, with a prominent market leader holding a significant share of the market. Important businesses in this market always use a variety of growth techniques to keep a competitive advantage. These tactics include new product introductions, innovations, partnerships, mergers, and acquisitions. Furthermore, these industry leaders continue to maintain an unwavering focus on research and development in order to provide industries with the most effective and affordable solutions.
May 2021: BurstIQ and the National Center for Advancing Transactional Sciences (NCATS) collaborated to use blockchain technology to safeguard NCATS-related intellectual property. The partnership aims to create machine learning and artificial intelligence models for data access in a cooperative research setting. (Source:https://burstiq.com/burstiq-and-the-national-center-for-advancing-translational-sciences-ncats-at-the-national-institutes-of-health-nih-collaborate-to-apply-blockchain-to-intellectual-property-management/) September 2020: Cyware and Cofense Intelligence collaborated to enable users to integrate Cofense's high-fidelity, human-verified phishing threat intelligence data into Cyware's CTIX threat intelligence platform. (Source:https://cyware.com/blog/cyware-and-cofense-announce-integration-partnership-to-operationalize-phishing-intelligence-3772)
| Company | 2022 (A) | 2023 (A) | 2024 (A) | 2025 (A) |
|---|---|---|---|---|
| Figure Technologies (US) | ••• | ••• | ••• | ••• |
| Cyware Labs (US) | ••• | ••• | ••• | ••• |
| Core Scientific (US) | ••• | ••• | ••• | ••• |
| NetObjex (US) | ••• | ••• | ••• | ••• |
| Fetch.ai (UK) | ••• | ••• | ••• | ••• |
| Ai-Blockchain (US) | ••• | ••• | ••• | ••• |
| AlphaNetworks (US) | ••• | ••• | ••• | ••• |
| Bext360 (US) | ••• | ••• | ••• | ••• |
| Blackbird.AI (US) | ••• | ••• | ••• | ••• |
| BurstIQ (US) | ••• | ••• | ••• | ••• |
| Chainhaus (US) | ••• | ••• | ••• | ••• |
| CoinGenius (US) | ••• | ••• | ••• | ••• |
| Computable (US) | ••• | ••• | ••• | ••• |
| Finalze (US) | ••• | ••• | ••• | ••• |
| Gainfy (US) | ••• | ••• | ••• | ••• |
| Hannah Systems (US) | ••• | ••• | ••• | ••• |
| LiveEdu (UK) | ••• | ••• | ••• | ••• |
| Mobs (US) | ••• | ••• | ••• | ••• |
| Neurochain Tech (France) | ••• | ••• | ••• | ••• |
| Numerai (US) | ••• | ••• | ••• | ••• |
| SingularityNET (The Netherlands) | ••• | ••• | ••• | ••• |
| Stowk (US) | ••• | ••• | ••• | ••• |
| Synapse AI (US) | ••• | ••• | ••• | ••• |
| Talla (US) | ••• | ••• | ••• | ••• |
| Verisart (US) | ••• | ••• | ••• | ••• |
| VIA (US) | ••• | ••• | ••• | ••• |
| Vytalyx (US) | ••• | ••• | ••• | ••• |
| Wealthblock.AI (US) | ••• | ••• | ••• | ••• |
| Workdone (US) | ••• | ••• | ••• | ••• |
Revenue data requires full access. *2nd & 3rd tier companies available on enquiry.
Request company profile for validation →According to Cognitive Market Research, the global AI In Blockchain market size was USD 361.2 million in 2024. It will expand at a compound annual growth rate (CAGR) of 26.00% from 2024 to 2031.
Blockchain is a distributed ledger that operates decentralized and is used to store encrypted data. Additionally, AI makes it easier to analyze and make decisions based on the information gathered. Furthermore, blockchain enhances machine learning capabilities and assists several companies in creating novel financial technologies, ultimately contributing to business growth. Businesses are combining blockchain and AI to generate insights from the data they collect and grow internationally. Growing data monetization requirements have increased small businesses' adoption of blockchain and AI solutions, which is driving trends in the AI in blockchain market. In addition, Consumers and businesses are requesting openness in AI decision-making. Blockchain technology can assist in tracking the data that AI systems consume, promoting responsible AI development, and building trust. As AI applications proliferate, the necessity for trustworthy and safe data increases. Blockchain guarantees the integrity of the data used and offers the perfect platform for AI training.
For instance, in April 2023, The blockchain technology solutions provider Blockchain App Factory announced a partnership with bitsCrunch, an NFT analysis platform driven by AI and forensics. Users will benefit from the relationship between the two companies when dealing with real-time analytics powered by AI and forensics. Additionally, the goal of this joint venture is to empower users worldwide to make informed decisions about NFT trading. (Source:https://www.blockchainappfactory.com/blog/bitscrunch-blockchain-app-factorys-newest-partner-whose-provisions-can-refine-future-nft-businesses/)
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| Component | Services, Platform or Tools |
| Deployment Mode | Cloud-based, On-premises |
| Organization Size | Large Enterprises, Small & Medium Enterprises (SMEs) |
| Technology | ML-based, NLP-based, Context-Aware Computing-based, Computer Vision-based |
| Vertical | Telecom and IT, Energy and Utilities, Government, Banking, Financial Services & Insurance (BFSI), Healthcare and Life Sciences, Manufacturing, Media and Entertainment, Retail and Consumer Goods, Travel and Transportation, Other Verticals |
| Application | Smart Contracts, Payment and Settlement, Governance, Data Security, Data Sharing/Communication, Asset Tracking and Management, Logistics and Supply Chain Management, Business Process Optimization, Other Applications |
| By Pricing Model | Subscription (SaaS), License-based, Freemium |
| List of Competitors | Figure Technologies (US), Cyware Labs (US), Core Scientific (US), NetObjex (US), Fetch.ai (UK), Ai-Blockchain (US), AlphaNetworks (US), Bext360 (US), Blackbird.AI (US), BurstIQ (US), Chainhaus (US), CoinGenius (US), Computable (US), Finalze (US), Gainfy (US), Hannah Systems (US), LiveEdu (UK), Mobs (US), Neurochain Tech (France), Numerai (US), SingularityNET (The Netherlands), Stowk (US), Synapse AI (US), Talla (US), Verisart (US), VIA (US), Vytalyx (US), Wealthblock.AI (US), Workdone (US) |
Global Market has been segmented on the basis 5 major regions such as North America, Europe, Asia-Pacific, Middle East & Africa, and Latin America.
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Data Subject to Availability as we consider Top competitors and their market share will be delivered.
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Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
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Cross-referencing against trade databases, customs records, financial filings, patent databases, and verified industry publications.
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