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市場調查報告書
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1803062

2032 年人工智慧透明區塊鏈市場預測：按組件、技術、組織規模、部署模式、應用、最終用戶和地區進行的全球分析

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個工作天內

價格

根據 Stratistics MRC 的數據，全球 AI 透明區塊鏈市場預計在 2025 年價值 7,862 萬美元，到 2032 年將達到 3.8339 億美元，預測期內的複合年成長率為 25.4%。

人工智慧透明度區塊鏈將區塊鏈與人工智慧結合，以促進透明度、課責和信任。它將人工智慧資料、決策和流程記錄在安全、不可篡改的帳本上，從而實現全面的審核和檢驗。這解決了人工智慧系統不透明的問題，使其運作可追溯且符合法規要求。它提倡負責任地使用人工智慧，尤其是在金融、醫療保健和自動駕駛技術等透明度至關重要的敏感行業。

根據中國信通院統計，目前中國活躍註冊的區塊鏈技術和服務開發公司超過3.3萬家。

對審核和可解釋的人工智慧的需求日益成長

隨著人工智慧系統逐漸融入關​​鍵領域，其營運的透明度和課責需求也日益成長。各行各業的相關人員都要求模型清晰易懂且可獨立檢驗。區塊鏈能夠創建不可篡改的記錄，使其成為提高人工智慧透明度的強大工具。這種結合正在激發人工智慧倫理和法規合規性的新發展。對演算法偏見和決策流程隱密性的擔憂，使得可解釋性成為重中之重。因此，市場正在不斷發展，將區塊鏈與人工智慧結合，以確保提供能夠確保公平性和可追溯性的解決方案。

缺乏公眾意識和理解

儘管技術發展日新月異，但許多人仍對區塊鏈和人工智慧的概念感到困惑或畏懼。對這些系統運作方式的誤解，尤其是在隱私和去中心化方面，可能會導致猶豫和不信任。即使是非專業人士，對這些技術的可靠性和擴充性也普遍持懷疑態度。這種知識差距可能會減緩監管進程，並削弱投資者信心。如果沒有更好的教育和推廣，用戶的採用可能會受到限制。彌合這一差距對於充分發揮透明人工智慧系統的潛力至關重要。

去中心化人工智慧市場

去中心化人工智慧平台正在為公平獲取智慧技術開闢新的可能性。這些市場允許創造者使用基於區塊鏈的合約安全地共用和收益人工智慧模型。使用者能夠在使用模型之前驗證其來源、性能和道德標準，從而受益匪淺。這有利於營造一個更開放、更協作的創新環境。透過減少中心化控制，這些平台鼓勵更廣泛的參與和創造力。隨著人們對這些系統的信任度不斷提升，它們有望成為建構更具包容性和透明度的人工智慧經濟的關鍵驅動力。

資料儲存限制

區塊鏈在儲存大量數據方面的固有限制對提高人工智慧透明度的努力構成了重大挑戰。人工智慧系統通常需要大量資料集進行訓練和檢驗，由於成本和可擴展性的限制，這些資料集很難在鏈上管理。鏈下儲存解決方案引入了資料篡改的風險並降低了審核。這種技術瓶頸可能會減緩區塊鏈與人工智慧工作流程的整合。此外，平衡去中心化和效能對於開發人員和企業來說仍然是一個複雜的問題。如果儲存效率和混合架構沒有突破，市場可能會面臨可擴展性和採用率的停滯。

COVID-19的影響：

由於團隊面臨物流挑戰和優先事項的轉變，疫情導致區塊鏈人工智慧計劃延期。隨著人們的注意力轉向應對全球健康危機，許多舉措被擱置。然而，在此期間，對可信任透明數據系統的需求變得更加明顯。各國政府和組織開始探索基於區塊鏈的人工智慧，以實現安全且符合倫理的決策。隨著世界在疫情後進行調整，對可信技術解決方案的投資勢頭強勁。這種新的關注正在刺激人工智慧透明度區塊鏈領域的發展。

預計平台部分將成為預測期內最大的部分

預計平台領域將在預測期內佔據最大的市場佔有率，這得益於機器學習、自然語言處理 (NLP) 和電腦視覺等先進技術的融合，這些技術需要安全透明的基礎設施。去中心化人工智慧和即時資料檢驗等趨勢正在蓬勃發展。值得關注的創新包括自動化智慧合約、雲端基礎的資料交換和可擴展的部署模型。對於希望在日益複雜的數位環境中建立可信任且合規的人工智慧系統的組織而言，這些平台至關重要。

零售和電子商務領域預計將在預測期內實現最高複合年成長率

在人工智慧和區塊鏈的推動下，零售和電子商務產業預計將在預測期內實現最高成長率，並將重點放在透明度、個人化和安全的數位互動。生成式人工智慧、擴增實境購物和語音平台等尖端工具正在重新定義客戶體驗並簡化業務。區塊鏈透過可追溯的交易和去中心化的忠誠度系統增強了信任。顯著的進步包括智慧定價演算法、需求預測和增強的供應鏈追蹤，共同推動更無縫、智慧和高效的數位商務生態系統。

佔比最大的地區：

預計亞太地區將在預測期內佔據最大的市場佔有率，這得益於對安全、透明和高效數位框架的需求。機器學習、自然語言處理 (NLP) 和區塊鏈等技術正處於前沿。趨勢包括人工智慧主導的智慧合約、安全的雲端基礎設施以及區塊鏈支援的數據交換。中國通訊業、印度金融科技的成長以及日本的自動化努力都取得了顯著進展。投資的增加、支持性政策和教育措施正在加速金融、醫療保健和製造業等產業的應用。

複合年成長率最高的地區：

預計北美將在預測期內實現最高的複合年成長率，因為自然語言處理和機器學習等人工智慧技術與區塊鏈的結合確保了資料處理的安全性和可追溯性。顯著的進步包括智慧合約和雲端基礎設施在醫療保健和金融等領域的廣泛應用。安全資料收益和情境感知系統等趨勢也迅速興起。強勁的投資活動以及對自動化和透明解決方案日益成長的需求，正在推動新興企業和大型企業採用基於區塊鏈的人工智慧平台。

免費客製化服務

此報告的訂閱者將獲得以下免費自訂選項之一：

  • 公司簡介
    • 全面分析其他市場參與者（最多 3 家公司）
    • 主要企業的SWOT分析（最多3家公司）
  • 區域細分
    • 根據客戶興趣對主要國家進行的市場估計、預測和複合年成長率（註：基於可行性檢查）
  • 競爭基準化分析
    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 研究途徑
  • 研究材料
    • 主要研究資料
    • 二手研究資料
    • 先決條件

第3章市場走勢分析

  • 驅動程式
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • COVID-19的影響

第4章 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
  • 競爭對手之間的競爭

5. 全球人工智慧透明度區塊鏈市場（按組件）

  • 平台
  • 服務
    • 諮詢
    • 支援和維護
    • 整合與部署

6. 全球人工智慧透明度區塊鏈市場（按技術）

  • 機器學習（ML）
  • 自然語言處理（NLP）
  • 情境感知計算
  • 電腦視覺
  • 其他技術

7. 全球人工智慧透明度區塊鏈市場（按組織規模）

  • 小型企業
  • 主要企業

8. 全球人工智慧透明度區塊鏈市場（按部署模式）

  • 雲
  • 本地

9. 全球人工智慧透明度區塊鏈市場（按應用）

  • 智慧合約
  • 資料安全
  • 支付結算
  • 數據共用/通訊
  • 業務流程最佳化
  • 資產追蹤和管理
  • 物流與供應鏈管理
  • 其他用途

第 10 章：全球人工智慧透明度區塊鏈市場（按最終用戶）

  • BFSI
  • 醫療保健和生命科學
  • 零售與電子商務
  • 製造和供應鏈
  • 政府/公共部門
  • 資訊科技/通訊
  • 能源與公共產業
  • 媒體與娛樂
  • 其他最終用戶

第 11 章全球人工智慧透明度區塊鏈市場（按地區）

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第12章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第13章：公司概況

  • 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.