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1822448

人工智慧主導的永續性報告和揭露市場預測（至 2032 年）：按組件、部署模式、組織規模、技術、最終用戶和地區進行的全球分析

AI-Driven Sustainability Reporting & Disclosures Market Forecasts to 2032 - Global Analysis By Component (Software and Services), Deployment Mode, Organization Size, Technology, 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，人工智慧主導的永續性報告和揭露的全球市場預計在 2025 年達到 26 億美元，到 2032 年將達到 102 億美元，預測期內的複合年成長率為 21.3%。

人工智慧主導的永續性報告和揭露是指利用人工智慧技術自動化、增強和簡化環境、社會和管治(ESG) 數據的收集、分析和呈現。這些系統使公司能夠產生準確的即時洞察，識別趨勢，並確保遵守不斷發展的法律規範。透過利用機器學習、自然語言處理和預測分析，人工智慧可以提高透明度，減少人為錯誤，並支援數據主導的決策。它還透過產生易於理解的標準化報告來促進相關人員的參與。最終，人工智慧使公司能夠將永續性目標與營運績效相結合，並更有效地傳達其影響。

資料處理能力和效率

人工智慧主導的永續性報告因其無與倫比的數據處理能力而蓬勃發展。透過自動化ESG資料的收集和分析，人工智慧可以快速且準確地處理大量資料集。機器學習和預測分析簡化了洞察生成流程，減少了人為錯誤並增強了決策能力。這種效率使企業能夠滿足監管要求，即時追蹤永續性目標，並產生標準化報告，從而提高透明度並贏得相關人員的信任。

「綠色清洗」與「漂人工智慧」的風險

「綠色清洗」和「人工智慧漂移」對人工智慧主導的永續性報告的可信度構成了嚴重威脅。誤導性聲明會損害相關利益者的信任，掩蓋真實的環境影響，並扭曲ESG指標。當人工智慧工具被用來掩蓋不良做法或誇大永續性成就時，透明度和課責就會受到損害。這些風險可能會阻礙真正的進步，誤導投資者，引發監管反彈，並最終扼殺創新，破壞市場誠信。

監理壓力與合規

日益成長的全球監管壓力為人工智慧主導的永續性報告和揭露市場帶來了重大機會。各國政府和機構正在強制要求更嚴格的環境、社會和治理 (ESG) 資訊揭露，迫使企業採用先進的工具來遵守規定。人工智慧透過自動化數據追蹤、檢驗和報告，簡化了對不斷發展的標準合規流程。它支援即時更新和跨境協作，從而降低合規成本並提高審核應對力。隨著監管趨嚴，對人工智慧主導的解決方案的需求預計將飆升，使其成為永續管治的重要工具。

缺乏標準化

人工智慧主導的永續性報告和揭露缺乏標準化，嚴重阻礙了市場成長和信譽。不一致的框架導致資料碎片化、可比性降低，並削弱了相關人員的信任。企業難以滿足不同的預期，投資人在評估ESG績效方面也面臨挑戰。這種監管模糊性扼殺了創新，阻礙了應用，並削弱了人工智慧在各行業永續性工作中提升透明度和課責的潛力。

COVID-19的影響

新冠疫情加速了數位轉型，包括人工智慧在永續性報告中的應用。遠距辦公凸顯了自動化、即時ESG追蹤的必要性。企業利用人工智慧來監測環境影響、員工社會福利和供應鏈韌性。然而，經濟動盪也減緩了某些產業的ESG投資。整體而言，疫情凸顯了人工智慧在危機應變和韌性規劃中的價值，強化了其在未來永續性策略中的作用，並提高了企業透明度。

預測期內，生成式人工智慧領域預計將佔據最大佔有率

生成式人工智慧 (Generic AI) 領域預計將在預測期內佔據最大的市場佔有率，因為它利用自然語言生成技術產生類似人類的敘述，並為不同的相關人員簡化複雜的數據。這些工具透過將分析資料轉換為易於使用的格式來增強參與度，從而提高透明度和信任度。生成式人工智慧也支援情境建模和預測洞察，幫助組織預測永續性成果。其多功能性和擴充性使其成為人工智慧主導的ESG 報告中最具影響力的領域。

預計醫療保健領域在預測期內的複合年成長率最高

預計醫療保健領域將在預測期內實現最高成長率，這得益於對環境、社會和治理 (ESG) 合規性以及以患者為中心的永續性的日益關注。人工智慧工具可協助醫療保健提供者監控其環境足跡、道德採購和社會公平指標。隨著監管審查力度加大以及社會對透明度的需求不斷成長，醫院和製藥公司正在採用人工智慧來簡化 ESG 資訊揭露。該行業複雜的數據環境受益於人工智慧的分析能力，推動了其快速應用，並將醫療保健定位為一個高成長的垂直領域。

比最大的地區

在快速工業化、監管改革和數位化應用的推動下，亞太地區預計將在預測期內佔據最大的市場佔有率。中國、印度和日本等國正大力投資ESG框架和人工智慧技術。政府指令和投資者壓力正促使企業加強永續性資訊揭露。該地區精通技術的勞動力和不斷拓展的企業環境為人工智慧的整合創造了肥沃的土壤。隨著ESG意識的不斷增強，亞太地區很可能在採用人工智慧進行永續性報告方面佔據領先地位。

複合年成長率最高的地區

在預測期內，北美憑藉其成熟的法規環境和強大的技術基礎設施，預計將呈現最高的複合年成長率。美國和加拿大日益嚴格的ESG法規和投資者積極性，正推動企業採用人工智慧來實現合規性和透明度。該地區的創新生態系統支援快速開發專為永續性量身定做的生成式和預測性人工智慧工具。隨著對道德管治和氣候變遷課責的需求日益成長，北美有望加速人工智慧主導的ESG解決方案的成長。

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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
    • 次級研究資訊來源
    • 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
  • 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. 全球人工智慧主導的永續性報告和揭露市場（按組成部分）

  • 軟體
  • 服務
    • 諮詢
    • 整合與實施
    • 支援和維護

6. 人工智慧主導的永續性報告和揭露市場（按部署模式）

  • 雲
  • 本地部署

7. 全球人工智慧主導的永續性報告和揭露市場（按組織規模）

  • 主要企業
  • 小型企業

8. 人工智慧主導的永續性報告和揭露市場（按技術）

  • 機器學習（ML）
  • 自然語言處理（NLP）
  • 深度學習
  • 預測分析
  • 人工智慧世代
  • 其他

9. 全球人工智慧主導的永續性報告和揭露市場（按最終用戶分類）

  • 金融服務/BFSI
  • 能源與公共產業
  • 製造業
  • 資訊科技/通訊
  • 零售
  • 衛生保健
  • 政府/公共部門
  • 其他

10. 全球人工智慧主導的永續性報告和揭露市場（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11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12章 公司概況

  • Microsoft
  • IBM
  • SAP
  • Oracle
  • Persefoni
  • Salesforce
  • FigBytes
  • Workiva
  • Datamaran
  • Wolters Kluwer
  • Novisto
  • Nasdaq（OneReport）
  • Greenstone
  • Diligent
  • Arabesque S-Ray
  • Sphera
  • ESG Book
  • Enablon（Wolters Kluwer）
Product Code: SMRC31203

According to Stratistics MRC, the Global AI-Driven Sustainability Reporting & Disclosures Market is accounted for $2.6 billion in 2025 and is expected to reach $10.2 billion by 2032 growing at a CAGR of 21.3% during the forecast period. AI-driven sustainability reporting and disclosures refer to the use of artificial intelligence technologies to automate, enhance, and streamline the collection, analysis, and presentation of environmental, social, and governance (ESG) data. These systems enable organizations to generate accurate, real-time insights, identify trends, and ensure compliance with evolving regulatory frameworks. By leveraging machine learning, natural language processing, and predictive analytics, AI improves transparency, reduces human error, and supports data-driven decision-making. It also facilitates stakeholder engagement by producing accessible and standardized reports. Ultimately, AI empowers companies to align sustainability goals with operational performance and communicate their impact more effectively.

Market Dynamics:

Driver:

Data Processing Power & Efficiency

AI-driven sustainability reporting thrives on its unmatched data processing capabilities. By automating ESG data collection and analysis, AI enables organizations to handle vast datasets with speed and precision. Machine learning and predictive analytics streamline insights generation, reducing manual errors and enhancing decision-making. This efficiency empowers companies to meet regulatory demands, track sustainability goals in real time, and produce standardized reports that foster transparency and stakeholder trust-making data processing a key growth driver for the market.

Restraint:

Greenwashing & AI Washing Risks

Greenwashing and AI washing pose serious threats to the credibility of AI-driven sustainability reporting. Misleading claims can erode stakeholder trust, obscure real environmental impacts, and distort ESG metrics. When AI tools are used to mask poor practices or exaggerate sustainability achievements, it undermines transparency and accountability. These risks hinder genuine progress, misguide investors, and may lead to regulatory backlash, ultimately stalling innovation and damaging the market's integrity.

Opportunity:

Regulatory Pressure & Compliance

Increasing global regulatory pressure presents a major opportunity for AI-driven sustainability reporting. Governments and institutions are mandating stricter ESG disclosures, pushing companies to adopt advanced tools for compliance. AI simplifies adherence to evolving standards by automating data tracking, validation, and reporting. It enables real-time updates and cross-border alignment, reducing compliance costs and enhancing audit readiness. As regulations intensify, demand for AI-powered solutions will surge, positioning them as indispensable tools for sustainable governance.

Threat:

Lack of Standardization

The lack of standardization in AI-driven sustainability reporting and disclosures severely hampers market growth and credibility. Inconsistent frameworks lead to fragmented data, reduced comparability, and diminished stakeholder trust. Companies struggle to align with varying expectations, while investors face challenges in assessing ESG performance. This regulatory ambiguity stifles innovation, deters adoption, and undermines the potential of AI to enhance transparency and accountability in sustainability efforts across industries.

Covid-19 Impact

The COVID-19 pandemic accelerated digital transformation, including the adoption of AI in sustainability reporting. Remote operations highlighted the need for automated, real-time ESG tracking. Companies turned to AI to monitor environmental impacts, employee well-being, and supply chain resilience. However, economic disruptions also delayed ESG investments in some sectors. Overall, the pandemic underscored the value of AI in crisis response and resilience planning, reinforcing its role in future-proofing sustainability strategies and enhancing corporate transparency.

The generative AI segment is expected to be the largest during the forecast period

The generative AI segment is expected to account for the largest market share during the forecast period because it leverages natural language generation to produce human-like narratives, simplifying complex data for diverse stakeholders. These tools enhance engagement by translating analytics into accessible formats, fostering transparency and trust. Generative AI also supports scenario modeling and predictive insights, helping organizations anticipate sustainability outcomes. Its versatility and scalability make it the most impactful segment in AI-driven ESG reporting.

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

Over the forecast period, the healthcare segment is predicted to witness the highest growth rate, due to its growing focus on ESG compliance and patient-centric sustainability. AI tools help healthcare providers monitor environmental footprints, ethical sourcing, and social equity metrics. With increasing regulatory scrutiny and public demand for transparency, hospitals and pharma companies are adopting AI to streamline ESG disclosures. The sector's complex data environment benefits from AI's analytical power, driving rapid adoption and positioning healthcare as a high-growth vertical.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share due to rapid industrialization, regulatory reforms, and digital adoption. Countries like China, India, and Japan are investing heavily in ESG frameworks and AI technologies. Government mandates and investor pressure are pushing companies to enhance sustainability disclosures. The region's tech-savvy workforce and expanding corporate landscape create fertile ground for AI integration. As ESG awareness grows, Asia Pacific will lead in deploying AI for sustainability reporting.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR, owing to its mature regulatory environment and strong technological infrastructure. The U.S. and Canada are witnessing increased ESG mandates and investor activism, prompting companies to adopt AI for compliance and transparency. The region's innovation ecosystem supports rapid development of generative and predictive AI tools tailored for sustainability. With rising demand for ethical governance and climate accountability, North America is poised for accelerated growth in AI-driven ESG solutions.

Key players in the market

Some of the key players profiled in the AI-Driven Sustainability Reporting & Disclosures Market include Microsoft, IBM, SAP, Oracle, Persefoni, Salesforce, FigBytes, Workiva, Datamaran, Wolters Kluwer, Novisto, Nasdaq (OneReport), Greenstone, Diligent, Arabesque S-Ray, Sphera, ESG Book and Enablon (Wolters Kluwer).

Key Developments:

In March 2025, Microsoft and the Government of Kuwait announced a strategic partnership to establish an AI-powered Azure Region, aligning with Kuwait's Vision 2035. This initiative aims to enhance local AI capabilities, drive economic growth, and foster innovation across industries.

In January 2025, Microsoft and OpenAI deepened their collaboration, extending their strategic partnership. Microsoft retains exclusive rights to OpenAI's intellectual property, integrates OpenAI's models into products like Copilot, and maintains exclusive access to OpenAI's APIs via Azure.

Components Covered:

  • Software
  • Services

Deployment Modes Covered:

  • Cloud
  • On-Premises

Organization Sizes Covered:

  • Large Enterprises
  • Small & Medium Enterprises (SMEs)

Technologies Covered:

  • Machine Learning (ML)
  • Natural Language Processing (NLP)
  • Deep Learning
  • Predictive Analytics
  • Generative AI
  • Other Emerging Technologies

End Users Covered:

  • Financial Services / BFSI
  • Energy & Utilities
  • Manufacturing
  • IT & Telecom
  • Retail
  • Healthcare
  • Government / Public Sector
  • 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 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 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-Driven Sustainability Reporting & Disclosures Market, By Component

  • 5.1 Introduction
  • 5.2 Software
  • 5.3 Services
    • 5.3.1 Consulting
    • 5.3.2 Integration & Implementation
    • 5.3.3 Support & Maintenance

6 Global AI-Driven Sustainability Reporting & Disclosures Market, By Deployment Mode

  • 6.1 Introduction
  • 6.2 Cloud
  • 6.3 On-Premises

7 Global AI-Driven Sustainability Reporting & Disclosures Market, By Organization Size

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

8 Global AI-Driven Sustainability Reporting & Disclosures Market, By Technology

  • 8.1 Introduction
  • 8.2 Machine Learning (ML)
  • 8.3 Natural Language Processing (NLP)
  • 8.4 Deep Learning
  • 8.5 Predictive Analytics
  • 8.6 Generative AI
  • 8.7 Other Emerging Technologies

9 Global AI-Driven Sustainability Reporting & Disclosures Market, By End User

  • 9.1 Introduction
  • 9.2 Financial Services / BFSI
  • 9.3 Energy & Utilities
  • 9.4 Manufacturing
  • 9.5 IT & Telecom
  • 9.6 Retail
  • 9.7 Healthcare
  • 9.8 Government / Public Sector
  • 9.9 Other End Users

10 Global AI-Driven Sustainability Reporting & Disclosures Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 Microsoft
  • 12.2 IBM
  • 12.3 SAP
  • 12.4 Oracle
  • 12.5 Persefoni
  • 12.6 Salesforce
  • 12.7 FigBytes
  • 12.8 Workiva
  • 12.9 Datamaran
  • 12.10 Wolters Kluwer
  • 12.11 Novisto
  • 12.12 Nasdaq (OneReport)
  • 12.13 Greenstone
  • 12.14 Diligent
  • 12.15 Arabesque S-Ray
  • 12.16 Sphera
  • 12.17 ESG Book
  • 12.18 Enablon (Wolters Kluwer)

List of Tables

  • Table 1 Global AI-Driven Sustainability Reporting & Disclosures Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global AI-Driven Sustainability Reporting & Disclosures Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global AI-Driven Sustainability Reporting & Disclosures Market Outlook, By Software (2024-2032) ($MN)
  • Table 4 Global AI-Driven Sustainability Reporting & Disclosures Market Outlook, By Services (2024-2032) ($MN)
  • Table 5 Global AI-Driven Sustainability Reporting & Disclosures Market Outlook, By Consulting (2024-2032) ($MN)
  • Table 6 Global AI-Driven Sustainability Reporting & Disclosures Market Outlook, By Integration & Implementation (2024-2032) ($MN)
  • Table 7 Global AI-Driven Sustainability Reporting & Disclosures Market Outlook, By Support & Maintenance (2024-2032) ($MN)
  • Table 8 Global AI-Driven Sustainability Reporting & Disclosures Market Outlook, By Deployment Mode (2024-2032) ($MN)
  • Table 9 Global AI-Driven Sustainability Reporting & Disclosures Market Outlook, By Cloud (2024-2032) ($MN)
  • Table 10 Global AI-Driven Sustainability Reporting & Disclosures Market Outlook, By On-Premises (2024-2032) ($MN)
  • Table 11 Global AI-Driven Sustainability Reporting & Disclosures Market Outlook, By Organization Size (2024-2032) ($MN)
  • Table 12 Global AI-Driven Sustainability Reporting & Disclosures Market Outlook, By Large Enterprises (2024-2032) ($MN)
  • Table 13 Global AI-Driven Sustainability Reporting & Disclosures Market Outlook, By Small & Medium Enterprises (SMEs) (2024-2032) ($MN)
  • Table 14 Global AI-Driven Sustainability Reporting & Disclosures Market Outlook, By Technology (2024-2032) ($MN)
  • Table 15 Global AI-Driven Sustainability Reporting & Disclosures Market Outlook, By Machine Learning (ML) (2024-2032) ($MN)
  • Table 16 Global AI-Driven Sustainability Reporting & Disclosures Market Outlook, By Natural Language Processing (NLP) (2024-2032) ($MN)
  • Table 17 Global AI-Driven Sustainability Reporting & Disclosures Market Outlook, By Deep Learning (2024-2032) ($MN)
  • Table 18 Global AI-Driven Sustainability Reporting & Disclosures Market Outlook, By Predictive Analytics (2024-2032) ($MN)
  • Table 19 Global AI-Driven Sustainability Reporting & Disclosures Market Outlook, By Generative AI (2024-2032) ($MN)
  • Table 20 Global AI-Driven Sustainability Reporting & Disclosures Market Outlook, By Other Emerging Technologies (2024-2032) ($MN)
  • Table 21 Global AI-Driven Sustainability Reporting & Disclosures Market Outlook, By End User (2024-2032) ($MN)
  • Table 22 Global AI-Driven Sustainability Reporting & Disclosures Market Outlook, By Financial Services / BFSI (2024-2032) ($MN)
  • Table 23 Global AI-Driven Sustainability Reporting & Disclosures Market Outlook, By Energy & Utilities (2024-2032) ($MN)
  • Table 24 Global AI-Driven Sustainability Reporting & Disclosures Market Outlook, By Manufacturing (2024-2032) ($MN)
  • Table 25 Global AI-Driven Sustainability Reporting & Disclosures Market Outlook, By IT & Telecom (2024-2032) ($MN)
  • Table 26 Global AI-Driven Sustainability Reporting & Disclosures Market Outlook, By Retail (2024-2032) ($MN)
  • Table 27 Global AI-Driven Sustainability Reporting & Disclosures Market Outlook, By Healthcare (2024-2032) ($MN)
  • Table 28 Global AI-Driven Sustainability Reporting & Disclosures Market Outlook, By Government / Public Sector (2024-2032) ($MN)
  • Table 29 Global AI-Driven Sustainability Reporting & Disclosures 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.