查看购物车
  • Traditional Chinese
  • English
  • Japanese
  • Korean
封面
市场调查报告书
商品编码
1803062

2032 年人工智慧透明区块链市场预测：按组件、技术、组织规模、部署模式、应用、最终用户和地区进行的全球分析

AI Transparency Blockchain Market Forecasts to 2032 - Global Analysis By Component (Platformand Services), Technology, Organization Size, Deployment Mode, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，全球 AI 透明区块链市场预计在 2025 年价值 7,862 万美元，到 2032 年将达到 3.8339 亿美元，预测期内的复合年增长率为 25.4%。

人工智慧透明度区块链将区块链与人工智慧结合，以促进透明度、课责和信任。它将人工智慧资料、决策和流程记录在安全、不可篡改的帐本上，从而实现全面的审核和检验。这解决了人工智慧系统不透明的问题，使其运作可追溯且符合法规要求。它提倡负责任地使用人工智慧，尤其是在金融、医疗保健和自动驾驶技术等透明度至关重要的敏感行业。

根据中国信通院统计，目前中国活跃註册的区块链技术和服务开发公司超过3.3万家。

对审核和可解释的人工智慧的需求日益增长

随着人工智慧系统逐渐融入关​​键领域，其营运的透明度和课责需求也日益增长。各行各业的相关人员都要求模型清晰易懂且可独立检验。区块链能够创建不可篡改的记录，使其成为提高人工智慧透明度的强大工具。这种结合正在激发人工智慧伦理和法规合规性的新发展。对演算法偏见和决策流程隐密性的担忧，使得可解释性成为重中之重。因此，市场正在不断发展，将区块链与人工智慧结合，以确保提供能够确保公平性和可追溯性的解决方案。

缺乏公众意识和理解

儘管技术发展日新月异，但许多人仍对区块链和人工智慧的概念感到困惑或畏惧。对这些系统运作方式的误解，尤其是在隐私和去中心化方面，可能会导致犹豫和不信任。即使是非专业人士，对这些技术的可靠性和扩充性也普遍持怀疑态度。这种知识差距可能会减缓监管进程，并削弱投资者信心。如果没有更好的教育和推广，用户的采用可能会受到限制。弥合这一差距对于充分发挥透明人工智慧系统的潜力至关重要。

去中心化人工智慧市场

去中心化人工智慧平台正在为公平获取智慧技术开闢新的可能性。这些市场允许创造者使用基于区块链的合约安全地共用和收益人工智慧模型。使用者能够在使用模型之前验证其来源、性能和道德标准，从而受益匪浅。这有利于营造一个更开放、更协作的创新环境。透过减少中心化控制，这些平台鼓励更广泛的参与和创造力。随着人们对这些系统的信任度不断提升，它们有望成为建构更具包容性和透明度的人工智慧经济的关键驱动力。

资料储存限制

区块链在储存大量数据方面的固有限制对提高人工智慧透明度的努力构成了重大挑战。人工智慧系统通常需要大量资料集进行训练和检验，由于成本和可扩展性的限制，这些资料集很难在链上管理。链下储存解决方案引入了资料篡改的风险并降低了审核。这种技术瓶颈可能会减缓区块链与人工智慧工作流程的整合。此外，平衡去中心化和效能对于开发人员和企业来说仍然是一个复杂的问题。如果储存效率和混合架构没有突破，市场可能会面临可扩展性和采用率的停滞。

COVID-19的影响：

由于团队面临物流挑战和优先事项的转变，疫情导致区块链人工智慧计划延期。随着人们的注意力转向应对全球健康危机，许多倡议被搁置。然而，在此期间，对可信任透明数据系统的需求变得更加明显。各国政府和组织开始探索基于区块链的人工智慧，以实现安全且符合伦理的决策。随着世界在疫情后进行调整，对可信技术解决方案的投资势头强劲。这种新的关注正在刺激人工智慧透明度区块链领域的发展。

预计平台部分将成为预测期内最大的部分

预计平台领域将在预测期内占据最大的市场占有率，这得益于机器学习、自然语言处理 (NLP) 和电脑视觉等先进技术的融合，这些技术需要安全透明的基础设施。去中心化人工智慧和即时资料检验等趋势正在蓬勃发展。值得关注的创新包括自动化智慧合约、云端基础的资料交换和可扩展的部署模型。对于希望在日益复杂的数位环境中建立可信任且合规的人工智慧系统的组织而言，这些平台至关重要。

零售和电子商务领域预计将在预测期内实现最高复合年增长率

在人工智慧和区块链的推动下，零售和电子商务产业预计将在预测期内实现最高成长率，并将重点放在透明度、个人化和安全的数位互动。生成式人工智慧、扩增实境购物和语音平台等尖端工具正在重新定义客户体验并简化业务。区块链透过可追溯的交易和去中心化的忠诚度系统增强了信任。显着的进步包括智慧定价演算法、需求预测和增强的供应链跟踪，共同推动更无缝、智慧和高效的数位商务生态系统。

占比最大的地区：

预计亚太地区将在预测期内占据最大的市场占有率，这得益于对安全、透明和高效数位框架的需求。机器学习、自然语言处理 (NLP) 和区块链等技术正处于前沿。趋势包括人工智慧主导的智慧合约、安全的云端基础设施以及区块链支援的数据交换。中国通讯业、印度金融科技的成长以及日本的自动化努力都取得了显着进展。投资的增加、支持性政策和教育措施正在加速金融、医疗保健和製造业等产业的应用。

复合年增长率最高的地区：

预计北美将在预测期内实现最高的复合年增长率，因为自然语言处理和机器学习等人工智慧技术与区块链的结合确保了资料处理的安全性和可追溯性。显着的进步包括智慧合约和云端基础设施在医疗保健和金融等领域的广泛应用。安全资料收益和情境感知系统等趋势也迅速兴起。强劲的投资活动以及对自动化和透明解决方案日益增长的需求，正在推动新兴企业和大型企业采用基于区块链的人工智慧平台。

免费客製化服务

此报告的订阅者将获得以下免费自订选项之一：

  • 公司简介
    • 全面分析其他市场参与者（最多 3 家公司）
    • 主要企业的SWOT分析（最多3家公司）
  • 区域细分
    • 根据客户兴趣对主要国家进行的市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 研究途径
  • 研究材料
    • 主要研究资料
    • 二手研究资料
    • 先决条件

第三章市场走势分析

  • 驱动程式
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • COVID-19的影响

第四章 波特五力分析

  • 供应商的议价能力
  • 买方的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球人工智慧透明度区块链市场（按组件）

  • 平台
  • 服务
    • 咨询
    • 支援和维护
    • 整合与部署

6. 全球人工智慧透明度区块链市场（按技术）

  • 机器学习（ML）
  • 自然语言处理（NLP）
  • 情境感知计算
  • 电脑视觉
  • 其他技术

7. 全球人工智慧透明度区块链市场（按组织规模）

  • 小型企业
  • 大公司

8. 全球人工智慧透明度区块链市场（按部署模式）

  • 云
  • 本地

9. 全球人工智慧透明度区块链市场（按应用）

  • 智能合约
  • 资料安全
  • 支付结算
  • 数据共用/通讯
  • 业务流程优化
  • 资产追踪和管理
  • 物流与供应链管理
  • 其他用途

第 10 章：全球人工智慧透明度区块链市场（按最终用户）

  • BFSI
  • 医疗保健和生命科学
  • 零售与电子商务
  • 製造和供应链
  • 政府/公共部门
  • 资讯科技/通讯
  • 能源与公共产业
  • 媒体与娱乐
  • 其他最终用户

第 11 章全球人工智慧透明度区块链市场（按地区）

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十二章 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 收购与合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十三章：公司概况

  • IBM
  • Ocean Protocol
  • Microsoft
  • NeuroChain Tech
  • Oracle
  • Cyware
  • SAP
  • BurstIQ
  • Amazon Web Services
  • Fetch.ai
  • Intel
  • Bitfury
  • Accenture
  • Wipro
  • Hewlett Packard Enterprise
  • Tata Consultancy Services
  • Infosys
Product Code: SMRC30587

According to Stratistics MRC, the Global AI Transparency Blockchain Market is accounted for $78.62 million in 2025 and is expected to reach $383.39 million by 2032 growing at a CAGR of 25.4% during the forecast period. AI Transparency Blockchain combines blockchain with artificial intelligence to boost clarity, accountability, and trustworthiness. It records AI data, decisions, and processes on a secure, unchangeable ledger, allowing for thorough audits and verification. This helps solve the issue of opaque AI systems by making their operations traceable and compliant with regulations. It promotes responsible AI use, especially in sensitive industries like finance, healthcare, and autonomous technologies, where transparency is vital.

According to CAICT, China has more than 33,000 active registered companies developing blockchain technology and services.

Market Dynamics:

Driver:

Rising need for auditable and explainable AI

As AI systems become more integrated into vital sectors, the call for clarity and accountability in their operations is growing louder. Stakeholders across industries are pushing for models that can be clearly understood and independently verified. Blockchain's ability to create tamper-proof records makes it a powerful tool for enhancing AI transparency. This combination is sparking new developments in ethical AI and regulatory compliance. Concerns over biased algorithms and hidden decision-making processes have made explainability a top priority. Consequently, the market is evolving toward solutions that merge blockchain with AI to ensure fairness and traceability.

Restraint:

Public perception and lack of understanding

Although the technology is advancing rapidly, many people still find blockchain and AI concepts confusing or intimidating. Misunderstandings about how these systems work especially around privacy and decentralization can lead to hesitation and mistrust. Skepticism about the reliability and scalability of these technologies is common among non-experts. This knowledge gap can slow down regulatory progress and reduce investor confidence. Without better education and outreach, user adoption may remain limited. Bridging this divide is essential for unlocking the full potential of transparent AI systems.

Opportunity:

Decentralized AI marketplaces

Decentralized AI platforms are opening up new possibilities for equitable access to intelligent technologies. These marketplaces allow creators to share and monetize AI models securely using blockchain-based contracts. Users benefit from being able to verify the origin, performance, and ethical standards of models before using them. This fosters a more open and collaborative innovation environment. By reducing centralized control, these platforms encourage broader participation and creativity. As trust in these systems grows, they could become key drivers of a more inclusive and transparent AI economy.

Threat:

Data storage limitations

Blockchain's inherent limitations in storing large volumes of data pose a significant challenge to AI transparency efforts. AI systems often require vast datasets for training and validation, which are difficult to manage on-chain due to cost and scalability constraints. Off-chain storage solutions introduce risks of data tampering and reduced auditability. This technical bottleneck may slow down the integration of blockchain into AI workflows. Moreover, balancing decentralization with performance remains a complex issue for developers and enterprises. Without breakthroughs in storage efficiency and hybrid architectures, the market could face stagnation in scalability and adoption.

Covid-19 Impact:

The pandemic caused delays in blockchain-AI projects as teams faced logistical challenges and shifting priorities. Many initiatives were paused while attention turned to managing the global health crisis. However, the need for reliable and transparent data systems became more apparent during this time. Governments and organizations began exploring blockchain-backed AI for secure and ethical decision-making. As the world adjusted post-pandemic, investment in trustworthy tech solutions gained momentum. This renewed focus is now fueling growth in the AI transparency blockchain sector.

The platform segment is expected to be the largest during the forecast period

The platform segment is expected to account for the largest market share during the forecast period, fuelled by the integration of advanced technologies such as machine learning, NLP, and computer vision, which require secure and transparent infrastructures. Trends like decentralized AI and instant data validation are gaining momentum. Notable innovations include automated smart contracts, cloud-based data exchange, and scalable deployment models. These platforms are essential for organizations aiming to build trustworthy, compliant AI systems in an increasingly complex digital environment.

The retail & E-commerce segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the retail & E-commerce segment is predicted to witness the highest growth rate, driven by AI and blockchain, with a strong focus on transparency, personalization, and secure digital interactions. Cutting-edge tools like generative AI, AR shopping, and voice-enabled platforms are redefining customer experiences and streamlining operations. Blockchain adds trust through traceable transactions and decentralized loyalty systems. Notable advancements include smart pricing algorithms, predictive demand forecasting, and enhanced supply chain tracking collectively driving a more seamless, intelligent, and efficient digital commerce ecosystem.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share, owing to the need for secure, transparent, and efficient digital frameworks. Technologies like machine learning, NLP, and blockchain are at the forefront. Trends include AI-driven smart contracts, secure cloud infrastructures, and blockchain-enabled data exchange. Significant progress is seen in China's telecom sector, India's fintech growth, and Japan's automation initiatives. With rising investments, supportive policies, and educational efforts, adoption is accelerating across industries like finance, healthcare, and manufacturing.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR, fuelled by the integration of AI technologies like natural language processing and machine learning with blockchain, ensuring secure and traceable data handling. Notable advancements include widespread use of smart contracts and cloud infrastructure in sectors such as healthcare and finance. Trends like secure data monetization and context-aware systems are emerging rapidly. Strong investment activity and growing demand for automated, transparent solutions are encouraging both start-ups and large corporations to adopt blockchain-powered AI platforms.

Key players in the market

Some of the key players in AI Transparency Blockchain Market include IBM, Ocean Protocol, Microsoft, NeuroChain Tech, Oracle, Cyware, SAP, BurstIQ, Amazon Web Services, Fetch.ai, Intel, Bitfury, Accenture, Wipro, Hewlett Packard Enterprise, Tata Consultancy Services, and Infosys.

Key Developments:

In August 2025, SAP and SmartRecruiters announced that SAP has entered into an agreement to acquire SmartRecruiters, a leading talent acquisition (TA) software provider. SmartRecruiters' deep expertise in high-volume recruiting, recruitment automation and AI-enabled candidate experience and engagement are considered an ideal addition to the SAP SuccessFactors human capital management (HCM) suite.

In June 2025, Oracle and Nextcloud announced a partnership that will bring Nextcloud Hub, an open-source content collaboration platform that enables teams to collaborate across mobile, desktop, and web interfaces, to Oracle Cloud Infrastructure (OCI). Government and enterprise customers will be able to deploy Nextcloud Hub across OCI's sovereign cloud solutions, including public, government, dedicated, and air-gapped regions.

In June 2025, BurstIQ announced that it has joined the Amazon Web Services (AWS) Partner Network (APN). The APN is a global community of AWS Partners that leverage programs, expertise, and resources to build, market, and sell customer offerings. As an APN member, BurstIQ is also making its LifeGraph(R) platform available in AWS Marketplace.

Components Covered:

  • Platform
  • Services

Technologies Covered:

  • Machine Learning (ML)
  • Natural Language Processing (NLP)
  • Context-aware Computing
  • Computer Vision
  • Other Technologies

Organization Sizes Covered:

  • Small & Medium Enterprises (SMEs)
  • Large Enterprises

Deployment Modes Covered:

  • Cloud
  • On-Premises

Applications Covered:

  • Smart Contracts
  • Data Security
  • Payment & Settlement
  • Data Sharing/Communication
  • Business Process Optimization
  • Asset Tracking & Management
  • Logistics & Supply Chain Management
  • Other Applications

End Users Covered:

  • BFSI
  • Healthcare & Life Sciences
  • Retail & E-commerce
  • Manufacturing & Supply Chain
  • Government & Public Sector
  • IT & Telecom
  • Energy & Utilities
  • Media & Entertainment
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & 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 2024, 2025, 2026, 2028, and 2032
  • 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

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global AI Transparency Blockchain Market, By Component

  • 5.1 Introduction
  • 5.2 Platform
  • 5.3 Services
    • 5.3.1 Consulting
    • 5.3.2 Support & Maintenance
    • 5.3.3 Integration & Deployment

6 Global AI Transparency Blockchain Market, By Technology

  • 6.1 Introduction
  • 6.2 Machine Learning (ML)
  • 6.3 Natural Language Processing (NLP)
  • 6.4 Context-aware Computing
  • 6.5 Computer Vision
  • 6.6 Other Technologies

7 Global AI Transparency Blockchain Market, By Organization Size

  • 7.1 Introduction
  • 7.2 Small & Medium Enterprises (SMEs)
  • 7.3 Large Enterprises

8 Global AI Transparency Blockchain Market, By Deployment Mode

  • 8.1 Introduction
  • 8.2 Cloud
  • 8.3 On-Premises

9 Global AI Transparency Blockchain Market, By Application

  • 9.1 Introduction
  • 9.2 Smart Contracts
  • 9.3 Data Security
  • 9.4 Payment & Settlement
  • 9.5 Data Sharing/Communication
  • 9.6 Business Process Optimization
  • 9.7 Asset Tracking & Management
  • 9.8 Logistics & Supply Chain Management
  • 9.9 Other Applications

10 Global AI Transparency Blockchain Market, By End User

  • 10.1 Introduction
  • 10.2 BFSI
  • 10.3 Healthcare & Life Sciences
  • 10.4 Retail & E-commerce
  • 10.5 Manufacturing & Supply Chain
  • 10.6 Government & Public Sector
  • 10.7 IT & Telecom
  • 10.8 Energy & Utilities
  • 10.9 Media & Entertainment
  • 10.10 Other End Users

11 Global AI Transparency Blockchain Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 IBM
  • 13.2 Ocean Protocol
  • 13.3 Microsoft
  • 13.4 NeuroChain Tech
  • 13.5 Oracle
  • 13.6 Cyware
  • 13.7 SAP
  • 13.8 BurstIQ
  • 13.9 Amazon Web Services
  • 13.10 Fetch.ai
  • 13.11 Intel
  • 13.12 Bitfury
  • 13.13 Accenture
  • 13.14 Wipro
  • 13.15 Hewlett Packard Enterprise
  • 13.16 Tata Consultancy Services
  • 13.17 Infosys

List of Tables

  • Table 1 Global AI Transparency Blockchain Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global AI Transparency Blockchain Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global AI Transparency Blockchain Market Outlook, By Platform (2024-2032) ($MN)
  • Table 4 Global AI Transparency Blockchain Market Outlook, By Services (2024-2032) ($MN)
  • Table 5 Global AI Transparency Blockchain Market Outlook, By Consulting (2024-2032) ($MN)
  • Table 6 Global AI Transparency Blockchain Market Outlook, By Support & Maintenance (2024-2032) ($MN)
  • Table 7 Global AI Transparency Blockchain Market Outlook, By Integration & Deployment (2024-2032) ($MN)
  • Table 8 Global AI Transparency Blockchain Market Outlook, By Technology (2024-2032) ($MN)
  • Table 9 Global AI Transparency Blockchain Market Outlook, By Machine Learning (ML) (2024-2032) ($MN)
  • Table 10 Global AI Transparency Blockchain Market Outlook, By Natural Language Processing (NLP) (2024-2032) ($MN)
  • Table 11 Global AI Transparency Blockchain Market Outlook, By Context-aware Computing (2024-2032) ($MN)
  • Table 12 Global AI Transparency Blockchain Market Outlook, By Computer Vision (2024-2032) ($MN)
  • Table 13 Global AI Transparency Blockchain Market Outlook, By Other Technologies (2024-2032) ($MN)
  • Table 14 Global AI Transparency Blockchain Market Outlook, By Organization Size (2024-2032) ($MN)
  • Table 15 Global AI Transparency Blockchain Market Outlook, By Small & Medium Enterprises (SMEs) (2024-2032) ($MN)
  • Table 16 Global AI Transparency Blockchain Market Outlook, By Large Enterprises (2024-2032) ($MN)
  • Table 17 Global AI Transparency Blockchain Market Outlook, By Deployment Mode (2024-2032) ($MN)
  • Table 18 Global AI Transparency Blockchain Market Outlook, By Cloud (2024-2032) ($MN)
  • Table 19 Global AI Transparency Blockchain Market Outlook, By On-Premises (2024-2032) ($MN)
  • Table 20 Global AI Transparency Blockchain Market Outlook, By Application (2024-2032) ($MN)
  • Table 21 Global AI Transparency Blockchain Market Outlook, By Smart Contracts (2024-2032) ($MN)
  • Table 22 Global AI Transparency Blockchain Market Outlook, By Data Security (2024-2032) ($MN)
  • Table 23 Global AI Transparency Blockchain Market Outlook, By Payment & Settlement (2024-2032) ($MN)
  • Table 24 Global AI Transparency Blockchain Market Outlook, By Data Sharing/Communication (2024-2032) ($MN)
  • Table 25 Global AI Transparency Blockchain Market Outlook, By Business Process Optimization (2024-2032) ($MN)
  • Table 26 Global AI Transparency Blockchain Market Outlook, By Asset Tracking & Management (2024-2032) ($MN)
  • Table 27 Global AI Transparency Blockchain Market Outlook, By Logistics & Supply Chain Management (2024-2032) ($MN)
  • Table 28 Global AI Transparency Blockchain Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 29 Global AI Transparency Blockchain Market Outlook, By End User (2024-2032) ($MN)
  • Table 30 Global AI Transparency Blockchain Market Outlook, By BFSI (2024-2032) ($MN)
  • Table 31 Global AI Transparency Blockchain Market Outlook, By Healthcare & Life Sciences (2024-2032) ($MN)
  • Table 32 Global AI Transparency Blockchain Market Outlook, By Retail & E-commerce (2024-2032) ($MN)
  • Table 33 Global AI Transparency Blockchain Market Outlook, By Manufacturing & Supply Chain (2024-2032) ($MN)
  • Table 34 Global AI Transparency Blockchain Market Outlook, By Government & Public Sector (2024-2032) ($MN)
  • Table 35 Global AI Transparency Blockchain Market Outlook, By IT & Telecom (2024-2032) ($MN)
  • Table 36 Global AI Transparency Blockchain Market Outlook, By Energy & Utilities (2024-2032) ($MN)
  • Table 37 Global AI Transparency Blockchain Market Outlook, By Media & Entertainment (2024-2032) ($MN)
  • Table 38 Global AI Transparency Blockchain Market Outlook, By Other End Users (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.