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2021520

2034 年區塊鏈人工智慧市場預測—按解決方案類型、組件、區塊鏈類型、應用、最終用戶和地區分類的全球分析

AI in Blockchain Market Forecasts to 2034 - Global Analysis By Solution Type, Component, Blockchain Type, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的預測，全球區塊鏈人工智慧市場預計將在 2026 年達到 48 億美元，在預測期內以 7.5% 的複合年成長率成長，到 2034 年達到 86 億美元。

區塊鏈技術中的人工智慧將機器學習、自然語言處理和深度學習等人工智慧演算法與分散式帳本技術結合。其目標是增強智慧合約的執行智慧，實現區塊鏈網路的自動化最佳化，檢測詐欺行為並識別交易流程中的異常情況，加速客戶身份驗證（KYC）流程，改善去中心化金融（DeFi）協議的風險管理，並從公共鏈、私有鍊和聯盟鏈架構的鏈上資料模式中產生可執行的洞察。

DeFi領域防範詐欺的必要性

去中心化金融（DeFi）交易量的激增，以及由此導致的詐欺、閃電貸攻擊和市場運作等問題的增加，正在推動企業和協議層面對人工智慧驅動的區塊鏈分析和即時威脅偵測的需求激增。金融機構和DeFi協議營運商正在投資人工智慧區塊鏈智慧平台，以監控鏈上交易模式、識別可疑錢包行為，並同時自動產生跨多個區塊鏈網路的監管合規報告。

法規結構的不確定性

目前，針對基於區塊鏈的金融服務領域人工智慧應用的國際法規結構分散且快速變化，導致合規性方面的不確定性，從而限制了企業在採用人工智慧區塊鏈整合平台方面的投資決策。不同司法管轄區對智慧合約的法律效力、人工智慧生成的交易決策的問責制以及去中心化自治組織（DAO）的管治等方面的衝突，造成了營運風險，延緩了大規模企業採用整合人工智慧區塊鏈的步伐。

供應鏈透明度平台

能夠確保企業價值鏈中產品溯源和永續性透明度的平台蘊藏著大規模的商業化機會。消費品製造商、製藥公司和食品生產商正在採用人工智慧驅動的區塊鏈系統，以實現產品溯源文件的自動化、驗證供應商認證，並向消費者和監管機構提供經認證的永續性聲明。排碳權化和為檢驗的減排放頒發區塊鏈證書，正成為新興的高價值應用領域。

與量子運算相關的加密風險

量子運算的進步對支撐當前區塊鏈安全架構的加密技術構成了威脅。隨著量子運算能力接近區塊鏈實際攻擊的閾值，加密協議可能需要進行根本性的變革，這將為那些在人工智慧區塊鏈基礎設施上投入巨資的公司帶來長期技術過時的風險。後量子加密轉型帶來的複雜性可能導致區塊鏈平台營運商面臨長期的安全漏洞和龐大的重組成本。

新冠疫情的影響：

新冠疫情展現了區塊鏈的韌性，即使在疫情造成的衝擊下，去中心化系統依然能夠持續運行，而中心化金融基礎設施則不堪重負。疫苗分發的供應鏈檢驗項目加速了區塊鏈在製藥業的應用。在後疫情時代，跨境貿易融資、身份驗證和醫療數據共用的數位化正在推動企業持續投資區塊鏈應用，並日益融合人工智慧分析和自動化功能，以提升營運智慧。

在預測期內，「AI最佳化共識和網路管理解決方案」細分市場預計將成為最大的細分市場。

在預測期內，人工智慧最佳化的共識網路管理解決方案預計將佔據最大的市場佔有率。這是因為在企業級區塊鏈部署中，最佳化網路效能至關重要，因為交易處理能力、延遲和能源效率直接影響商業性可行性。領先的區塊鏈基礎設施供應商正在大力投資人工智慧驅動的網路管理功能，這些功能可以自主最佳化共識參數、檢測網路異常並預測容量需求，從而確保符合企業級服務等級協定 (SLA)。

預計在預測期內，硬體領域將呈現最高的複合年成長率。

在預測期內，硬體領域預計將呈現最高的成長率。這主要得益於專用人工智慧推理加速器、高頻寬網路基礎設施以及安全硬體隔離區的日益普及，這些設施對於支援企業金融服務、供應鏈和身份驗證部署所需的區塊鏈交易流即時人工智慧處理至關重要。對人工智慧最佳化型區塊鏈節點硬體架構的投資正在創造一個新的高階硬體收入類別。

市佔率最大的地區：

在整個預測期內，北美預計將保持最大的市場佔有率。這是因為美國擁有全球最大的區塊鏈技術公司、人工智慧研究機構，以及金融服務和科技產業中企業數位資產應用最廣泛的地區。領先的區塊鏈平台與美國金融監管機構之間的監管協調，以及對人工智慧區塊鏈Start-Ups的大量創業投資投資，都鞏固了北美在技術和收入方面的領先地位。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率。這主要得益於中國、新加坡、日本和韓國政府數位貨幣計畫的推動，以及區塊鏈網路在貿易融資領域的部署和對國內區塊鏈技術研發的大量投資，這些因素共同促進了區塊鏈技術的快速普及。新加坡有利的監管沙盒環境和中國不斷擴展的國家區塊鏈服務網路，也為人工智慧區塊鏈平台的商業化提供了強勁動力。

免費客製化服務：

所有購買此報告的客戶均可享受以下免費自訂選項之一：

  • 企業概況
    • 對其他市場參與者（最多 3 家公司）進行全面分析
    • 主要參與者（最多3家公司）的SWOT分析
  • 區域細分
    • 應客戶要求，我們提供主要國家和地區的市場估算和預測，以及複合年成長率（註：需進行可行性檢查）。
  • 競爭性標竿分析
    • 根據產品系列、地理覆蓋範圍和策略聯盟對主要企業進行基準分析。

目錄

第1章執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要企業市佔率分析
  • 產品基準評效和效能比較

第5章：全球區塊鏈人工智慧市場：按解決方案類型分類

  • 人工智慧增強型智慧合約平台
  • 人工智慧驅動的區塊鏈分析與智慧平台
  • 人工智慧驅動的去中心化金融（DeFi）解決方案
  • 人工智慧驅動的身份驗證和KYC平台
  • AI最佳化共識和網路管理解決方案
  • 人工智慧驅動的NFT和數位資產管理平台
  • 人工智慧驅動的供應鏈區塊鏈平台

第6章：全球區塊鏈人工智慧市場：按組件分類

  • 硬體
  • 軟體平台
  • 服務

第7章：全球區塊鏈人工智慧市場：按區塊鏈類型分類

  • 公共區塊鏈
  • 私有區塊鏈
  • 聯盟型/聯合區塊鏈
  • 混合區塊鏈
  • 第二層和側鏈解決方案
  • 有向無環圖（DAG）網路
  • 跨鍊和互通性協議

第8章：全球區塊鏈人工智慧市場：按應用領域分類

  • 詐欺偵測和反洗錢措施
  • 去中心化金融（DeFi）和交易最佳化
  • 供應鏈透明度和原產地追蹤
  • 數位身分和KYC/AML檢驗
  • 醫療數據管理和臨床試驗
  • 智慧財產權和權利管理
  • 政府和公共檔案管理

第9章：全球區塊鏈人工智慧市場：按最終用戶分類

  • 銀行、金融服務和保險（BFSI）
  • 零售和電子商務企業
  • 醫療和製藥機構
  • 物流和供應鏈公司
  • 政府和公共機構
  • 媒體、娛樂和遊戲公司
  • 科技和加密貨幣公司

第10章：全球區塊鏈人工智慧市場：按地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第11章 策略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第12章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第13章：公司簡介

  • IBM（IBM Blockchain）
  • Microsoft（Azure Blockchain）
  • Amazon（AWS Blockchain）
  • Google Cloud
  • Chainalysis
  • Elliptic
  • Alchemy
  • Infura（ConsenSys）
  • SingularityNET
  • Ocean Protocol
  • Fetch.ai
  • Numerai
  • Bext360
  • SettleMint
  • Vechain
  • R3（Corda）
  • Ripple
Product Code: SMRC34860

According to Stratistics MRC, the Global AI in Blockchain Market is accounted for $4.8 billion in 2026 and is expected to reach $8.6 billion by 2034 growing at a CAGR of 7.5% during the forecast period. AI in blockchain refers to the convergence of artificial intelligence algorithms including machine learning, natural language processing, and deep learning with distributed ledger technologies to enhance smart contract execution intelligence, automate blockchain network optimization, enable fraud detection and anomaly identification in transaction streams, accelerate Know Your Customer verification, improve decentralized finance protocol risk management, and generate actionable insights from on-chain data patterns across public, private, and consortium blockchain architectures.

Market Dynamics:

Driver:

DeFi Fraud Prevention Demand

Surging decentralized finance transaction volumes and associated fraud, flash loan attack, and market manipulation incident rates are driving urgent enterprise and protocol-level demand for AI-powered blockchain analytics and real-time threat detection capabilities. Financial institutions and DeFi protocol operators are investing in AI blockchain intelligence platforms to monitor on-chain transaction patterns, identify suspicious wallet behaviors, and automate regulatory compliance reporting across multiple blockchain networks simultaneously.

Restraint:

Regulatory Framework Uncertainty

Fragmented and rapidly evolving international regulatory frameworks governing AI applications in blockchain-based financial services create compliance uncertainty that constrains enterprise adoption investment decisions for AI blockchain integration platforms. Conflicting jurisdictional approaches to smart contract legal enforceability, AI-generated transaction decision liability, and decentralized autonomous organization governance create operational risk exposures that delay large-scale enterprise commitment to integrated AI blockchain deployments.

Opportunity:

Supply Chain Transparency Platforms

Enterprise supply chain provenance and sustainability transparency platforms represent a large-scale commercialization opportunity as consumer goods manufacturers, pharmaceutical companies, and food producers deploy AI-enhanced blockchain systems to automate product traceability documentation, verify supplier certifications, and deliver authenticated sustainability claims to consumers and regulators. Carbon credit tokenization and verified emission reduction blockchain certificate issuance represent emerging premium-value application segments.

Threat:

Quantum Computing Cryptography Risks

Quantum computing advancement threatens the cryptographic foundations underlying current blockchain security architectures, creating long-term technology obsolescence risks for enterprises making substantial AI blockchain infrastructure investments that may require fundamental cryptographic protocol migration as quantum computing capabilities approach practical blockchain attack thresholds. Post-quantum cryptography migration complexity may create extended vulnerability windows and substantial re-engineering costs for blockchain platform operators.

Covid-19 Impact:

COVID-19 demonstrated blockchain resilience as decentralized systems maintained continuous operation during pandemic disruptions that stressed centralized financial infrastructure. Vaccine distribution supply chain verification programs accelerated pharmaceutical blockchain adoption. Post-pandemic digitalization of cross-border trade finance, identity verification, and healthcare data sharing is generating sustained enterprise blockchain deployment investment that increasingly incorporates AI analytics and automation capabilities for enhanced operational intelligence.

The AI-Optimized Consensus & Network Management Solutions segment is expected to be the largest during the forecast period

The AI-Optimized Consensus & Network Management Solutions segment is expected to account for the largest market share during the forecast period, due to critical infrastructure importance of network performance optimization for enterprise blockchain deployments where transaction throughput, latency, and energy efficiency directly impact commercial viability. Leading blockchain infrastructure operators are investing substantially in AI-powered network management capabilities that autonomously optimize consensus parameters, detect network anomalies, and predict capacity requirements to ensure enterprise-grade service level agreement compliance.

The Hardware segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the Hardware segment is predicted to witness the highest growth rate, driven by expanding deployment of specialized AI inference accelerators, high-bandwidth networking infrastructure, and secure hardware enclaves required to support real-time AI processing of blockchain transaction streams at the throughput scales demanded by enterprise financial services, supply chain, and identity verification deployments. Investment in AI-optimized blockchain node hardware architectures is creating new premium hardware revenue categories.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, due to the United States hosting the world's largest concentration of blockchain technology companies, AI research institutions, and enterprise digital asset adoption among financial services and technology sectors. Regulatory engagement between major blockchain platforms and U.S. financial regulators combined with substantial venture capital investment in AI blockchain startups sustains North American technology and revenue leadership.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, due to rapid blockchain adoption in China, Singapore, Japan, and South Korea driven by government digital currency programs, trade finance blockchain network deployments, and substantial domestic blockchain technology development investment. Singapore's favorable regulatory sandbox environment and China's national blockchain service network expansion are generating significant AI blockchain platform commercialization momentum.

Key players in the market

Some of the key players in AI in Blockchain Market include IBM (IBM Blockchain), Microsoft (Azure Blockchain), Amazon (AWS Blockchain), Google Cloud, Chainalysis, Elliptic, Alchemy, Infura (ConsenSys), SingularityNET, Ocean Protocol, Fetch.ai, Numerai, Bext360, SettleMint, Vechain, R3 (Corda), and Ripple.

Key Developments:

In March 2026, Chainalysis launched an AI-powered real-time transaction monitoring platform enabling financial institutions to automatically identify suspicious blockchain transaction patterns and generate regulatory compliance alerts.

In February 2026, IBM (IBM Blockchain) expanded its AI-enhanced supply chain blockchain platform with new generative AI document verification capabilities automating trade finance documentation processing for global commercial banking clients.

In January 2026, SingularityNET announced a partnership with a major decentralized finance protocol operator to deploy AI-powered smart contract auditing services reducing security vulnerability exposure across new protocol deployments.

In October 2025, Vechain secured a major enterprise sustainability verification contract enabling Fortune 500 consumer goods manufacturers to authenticate and report scope three emission reduction claims using blockchain-based traceability.

Solution Types Covered:

  • Product Digital Twins
  • Process Digital Twins
  • Asset Digital Twins
  • System-of-Systems Digital Twins
  • City & Infrastructure Digital Twins
  • Workforce & Human Digital Twins
  • Supply Chain Digital Twins

Components Covered:

  • Hardware
  • Software & Platforms
  • Services

Technologies Covered:

  • Artificial Intelligence & Machine Learning
  • Internet of Things (IoT) & IIoT
  • 3D Modeling & Simulation

Deployment Modes Covered:

  • Cloud-Based Deployment
  • On-Premise Deployment
  • Hybrid Deployment
  • Edge-Native Deployment
  • Digital Twin as a Service (DTaaS)
  • Embedded OEM Deployment
  • Federated Multi-Site Deployment

Applications Covered:

  • Predictive Maintenance & Asset Health Monitoring
  • Product Design & Virtual Prototyping
  • Manufacturing Process Optimization
  • Energy Grid Monitoring & Optimization
  • Healthcare & Clinical Pathway Simulation
  • Other Applications

End Users Covered:

  • Aerospace & Defense Organizations
  • Automotive & EV Manufacturers
  • Energy & Utilities Companies
  • Healthcare & Life Sciences Organizations
  • Manufacturing & Industrial Enterprises
  • Other End Users

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global AI in Blockchain Market, By Solution Type

  • 5.1 AI-Enhanced Smart Contract Platforms
  • 5.2 AI-Driven Blockchain Analytics & Intelligence Platforms
  • 5.3 AI-Powered Decentralized Finance (DeFi) Solutions
  • 5.4 AI-Based Identity Verification & KYC Platforms
  • 5.5 AI-Optimized Consensus & Network Management Solutions
  • 5.6 AI-Driven NFT & Digital Asset Management Platforms
  • 5.7 AI-Powered Supply Chain Blockchain Platforms

6 Global AI in Blockchain Market, By Component

  • 6.1 Hardware
  • 6.2 Software & Platforms
  • 6.3 Services

7 Global AI in Blockchain Market, By Blockchain Type

  • 7.1 Public Blockchain
  • 7.2 Private Blockchain
  • 7.3 Consortium / Federated Blockchain
  • 7.4 Hybrid Blockchain
  • 7.5 Layer 2 & Sidechain Solutions
  • 7.6 Directed Acyclic Graph (DAG) Networks
  • 7.7 Cross-Chain & Interoperability Protocols

8 Global AI in Blockchain Market, By Application

  • 8.1 Fraud Detection & Anti-Money Laundering (AML)
  • 8.2 Decentralized Finance (DeFi) & Trading Optimization
  • 8.3 Supply Chain Transparency & Provenance Tracking
  • 8.4 Digital Identity & KYC / AML Verification
  • 8.5 Healthcare Data Management & Clinical Trials
  • 8.6 Intellectual Property & Rights Management
  • 8.7 Government & Public Records Management

9 Global AI in Blockchain Market, By End User

  • 9.1 Banking, Financial Services & Insurance (BFSI)
  • 9.2 Retail & E-Commerce Companies
  • 9.3 Healthcare & Pharmaceutical Organizations
  • 9.4 Logistics & Supply Chain Companies
  • 9.5 Government & Public Sector Agencies
  • 9.6 Media, Entertainment & Gaming Companies
  • 9.7 Technology & Cryptocurrency Firms

10 Global AI in Blockchain Market, By Geography

  • 10.1 North America
    • 10.1.1 United States
    • 10.1.2 Canada
    • 10.1.3 Mexico
  • 10.2 Europe
    • 10.2.1 United Kingdom
    • 10.2.2 Germany
    • 10.2.3 France
    • 10.2.4 Italy
    • 10.2.5 Spain
    • 10.2.6 Netherlands
    • 10.2.7 Belgium
    • 10.2.8 Sweden
    • 10.2.9 Switzerland
    • 10.2.10 Poland
    • 10.2.11 Rest of Europe
  • 10.3 Asia Pacific
    • 10.3.1 China
    • 10.3.2 Japan
    • 10.3.3 India
    • 10.3.4 South Korea
    • 10.3.5 Australia
    • 10.3.6 Indonesia
    • 10.3.7 Thailand
    • 10.3.8 Malaysia
    • 10.3.9 Singapore
    • 10.3.10 Vietnam
    • 10.3.11 Rest of Asia Pacific
  • 10.4 South America
    • 10.4.1 Brazil
    • 10.4.2 Argentina
    • 10.4.3 Colombia
    • 10.4.4 Chile
    • 10.4.5 Peru
    • 10.4.6 Rest of South America
  • 10.5 Rest of the World (RoW)
    • 10.5.1 Middle East
      • 10.5.1.1 Saudi Arabia
      • 10.5.1.2 United Arab Emirates
      • 10.5.1.3 Qatar
      • 10.5.1.4 Israel
      • 10.5.1.5 Rest of Middle East
    • 10.5.2 Africa
      • 10.5.2.1 South Africa
      • 10.5.2.2 Egypt
      • 10.5.2.3 Morocco
      • 10.5.2.4 Rest of Africa

11 Strategic Market Intelligence

  • 11.1 Industry Value Network and Supply Chain Assessment
  • 11.2 White-Space and Opportunity Mapping
  • 11.3 Product Evolution and Market Life Cycle Analysis
  • 11.4 Channel, Distributor, and Go-to-Market Assessment

12 Industry Developments and Strategic Initiatives

  • 12.1 Mergers and Acquisitions
  • 12.2 Partnerships, Alliances, and Joint Ventures
  • 12.3 New Product Launches and Certifications
  • 12.4 Capacity Expansion and Investments
  • 12.5 Other Strategic Initiatives

13 Company Profiles

  • 13.1 IBM (IBM Blockchain)
  • 13.2 Microsoft (Azure Blockchain)
  • 13.3 Amazon (AWS Blockchain)
  • 13.4 Google Cloud
  • 13.5 Chainalysis
  • 13.6 Elliptic
  • 13.7 Alchemy
  • 13.8 Infura (ConsenSys)
  • 13.9 SingularityNET
  • 13.10 Ocean Protocol
  • 13.11 Fetch.ai
  • 13.12 Numerai
  • 13.13 Bext360
  • 13.14 SettleMint
  • 13.15 Vechain
  • 13.16 R3 (Corda)
  • 13.17 Ripple

List of Tables

  • Table 1 Global AI in Blockchain Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global AI in Blockchain Market Outlook, By Solution Type (2023-2034) ($MN)
  • Table 3 Global AI in Blockchain Market Outlook, By AI-Enhanced Smart Contract Platforms (2023-2034) ($MN)
  • Table 4 Global AI in Blockchain Market Outlook, By AI-Driven Blockchain Analytics & Intelligence Platforms (2023-2034) ($MN)
  • Table 5 Global AI in Blockchain Market Outlook, By AI-Powered Decentralized Finance (DeFi) Solutions (2023-2034) ($MN)
  • Table 6 Global AI in Blockchain Market Outlook, By AI-Based Identity Verification & KYC Platforms (2023-2034) ($MN)
  • Table 7 Global AI in Blockchain Market Outlook, By AI-Optimized Consensus & Network Management Solutions (2023-2034) ($MN)
  • Table 8 Global AI in Blockchain Market Outlook, By AI-Driven NFT & Digital Asset Management Platforms (2023-2034) ($MN)
  • Table 9 Global AI in Blockchain Market Outlook, By AI-Powered Supply Chain Blockchain Platforms (2023-2034) ($MN)
  • Table 10 Global AI in Blockchain Market Outlook, By Component (2023-2034) ($MN)
  • Table 11 Global AI in Blockchain Market Outlook, By Hardware (2023-2034) ($MN)
  • Table 12 Global AI in Blockchain Market Outlook, By Software & Platforms (2023-2034) ($MN)
  • Table 13 Global AI in Blockchain Market Outlook, By Services (2023-2034) ($MN)
  • Table 14 Global AI in Blockchain Market Outlook, By Blockchain Type (2023-2034) ($MN)
  • Table 15 Global AI in Blockchain Market Outlook, By Public Blockchain (2023-2034) ($MN)
  • Table 16 Global AI in Blockchain Market Outlook, By Private Blockchain (2023-2034) ($MN)
  • Table 17 Global AI in Blockchain Market Outlook, By Consortium / Federated Blockchain (2023-2034) ($MN)
  • Table 18 Global AI in Blockchain Market Outlook, By Hybrid Blockchain (2023-2034) ($MN)
  • Table 19 Global AI in Blockchain Market Outlook, By Layer 2 & Sidechain Solutions (2023-2034) ($MN)
  • Table 20 Global AI in Blockchain Market Outlook, By Directed Acyclic Graph (DAG) Networks (2023-2034) ($MN)
  • Table 21 Global AI in Blockchain Market Outlook, By Cross-Chain & Interoperability Protocols (2023-2034) ($MN)
  • Table 22 Global AI in Blockchain Market Outlook, By Application (2023-2034) ($MN)
  • Table 23 Global AI in Blockchain Market Outlook, By Fraud Detection & Anti-Money Laundering (AML) (2023-2034) ($MN)
  • Table 24 Global AI in Blockchain Market Outlook, By Decentralized Finance (DeFi) & Trading Optimization (2023-2034) ($MN)
  • Table 25 Global AI in Blockchain Market Outlook, By Supply Chain Transparency & Provenance Tracking (2023-2034) ($MN)
  • Table 26 Global AI in Blockchain Market Outlook, By Digital Identity & KYC / AML Verification (2023-2034) ($MN)
  • Table 27 Global AI in Blockchain Market Outlook, By Healthcare Data Management & Clinical Trials (2023-2034) ($MN)
  • Table 28 Global AI in Blockchain Market Outlook, By Intellectual Property & Rights Management (2023-2034) ($MN)
  • Table 29 Global AI in Blockchain Market Outlook, By Government & Public Records Management (2023-2034) ($MN)
  • Table 30 Global AI in Blockchain Market Outlook, By End User (2023-2034) ($MN)
  • Table 31 Global AI in Blockchain Market Outlook, By Banking, Financial Services & Insurance (BFSI) (2023-2034) ($MN)
  • Table 32 Global AI in Blockchain Market Outlook, By Retail & E-Commerce Companies (2023-2034) ($MN)
  • Table 33 Global AI in Blockchain Market Outlook, By Healthcare & Pharmaceutical Organizations (2023-2034) ($MN)
  • Table 34 Global AI in Blockchain Market Outlook, By Logistics & Supply Chain Companies (2023-2034) ($MN)
  • Table 35 Global AI in Blockchain Market Outlook, By Government & Public Sector Agencies (2023-2034) ($MN)
  • Table 36 Global AI in Blockchain Market Outlook, By Media, Entertainment & Gaming Companies (2023-2034) ($MN)
  • Table 37 Global AI in Blockchain Market Outlook, By Technology & Cryptocurrency Firms (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) Regions are also represented in the same manner as above.