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市场调查报告书
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1822448

人工智慧主导的永续性报告和揭露市场预测（至 2032 年）：按组件、部署模式、组织规模、技术、最终用户和地区进行的全球分析

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个工作天内

价格

根据 Stratistics MRC 的数据，人工智慧主导的永续性报告和揭露的全球市场预计在 2025 年达到 26 亿美元，到 2032 年将达到 102 亿美元，预测期内的复合年增长率为 21.3%。

人工智慧主导的永续性报告和揭露是指利用人工智慧技术自动化、增强和简化环境、社会和管治(ESG) 数据的收集、分析和呈现。这些系统使公司能够产生准确的即时洞察，识别趋势，并确保遵守不断发展的法律规范。透过利用机器学习、自然语言处理和预测分析，人工智慧可以提高透明度，减少人为错误，并支援数据主导的决策。它还透过产生易于理解的标准化报告来促进相关人员的参与。最终，人工智慧使公司能够将永续性目标与营运绩效相结合，并更有效地传达其影响。

资料处理能力和效率

人工智慧主导的永续性报告因其无与伦比的数据处理能力而蓬勃发展。透过自动化ESG资料的收集和分析，人工智慧可以快速且准确地处理大量资料集。机器学习和预测分析简化了洞察生成流程，减少了人为错误并增强了决策能力。这种效率使企业能够满足监管要求，即时追踪永续性目标，并产生标准化报告，从而提高透明度并赢得相关人员的信任。

「绿色清洗」与「漂人工智慧」的风险

「绿色清洗」和「人工智慧漂移」对人工智慧主导的永续性报告的可信度构成了严重威胁。误导性声明会损害相关利益者的信任，掩盖真实的环境影响，并扭曲ESG指标。当人工智慧工具被用来掩盖不良做法或夸大永续性成就时，透明度和课责就会受到损害。这些风险可能会阻碍真正的进步，误导投资者，引发监管反弹，并最终扼杀创新，破坏市场诚信。

监理压力与合规

日益增长的全球监管压力为人工智慧主导的永续性报告和揭露市场带来了重大机会。各国政府和机构正在强制要求更严格的环境、社会和治理 (ESG) 资讯揭露，迫使企业采用先进的工具来遵守规定。人工智慧透过自动化数据追踪、检验和报告，简化了对不断发展的标准合规流程。它支援即时更新和跨境协作，从而降低合规成本并提高审核应对力。随着监管趋严，对人工智慧主导的解决方案的需求预计将飙升，使其成为永续管治的重要工具。

缺乏标准化

人工智慧主导的永续性报告和揭露缺乏标准化，严重阻碍了市场成长和信誉。不一致的框架导致资料碎片化、可比性降低，并削弱了相关人员的信任。企业难以满足不同的预期，投资人在评估ESG绩效方面也面临挑战。这种监管模糊性扼杀了创新，阻碍了应用，并削弱了人工智慧在各行业永续性工作中提升透明度和课责的潜力。

COVID-19的影响

新冠疫情加速了数位转型，包括人工智慧在永续性报告中的应用。远距办公凸显了自动化、即时ESG追踪的必要性。企业利用人工智慧来监测环境影响、员工社会福利和供应链韧性。然而，经济动盪也减缓了某些产业的ESG投资。整体而言，疫情凸显了人工智慧在危机应变和韧性规划中的价值，强化了其在未来永续性策略中的作用，并提高了企业透明度。

预测期内，生成式人工智慧领域预计将占据最大份额

生成式人工智慧 (Generic AI) 领域预计将在预测期内占据最大的市场份额，因为它利用自然语言生成技术产生类似人类的叙述，并为不同的相关人员简化复杂的数据。这些工具透过将分析资料转换为易于使用的格式来增强参与度，从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预测洞察，帮助组织预测永续性成果。其多功能性和扩充性使其成为人工智慧主导的ESG 报告中最具影响力的领域。

预计医疗保健领域在预测期内的复合年增长率最高

预计医疗保健领域将在预测期内实现最高成长率，这得益于对环境、社会和治理 (ESG) 合规性以及以患者为中心的永续性的日益关注。人工智慧工具可协助医疗保健提供者监控其环境足迹、道德采购和社会公平指标。随着监管审查力度加大以及社会对透明度的需求不断增长，医院和製药公司正在采用人工智慧来简化 ESG 资讯揭露。该行业复杂的数据环境受益于人工智慧的分析能力，推动了其快速应用，并将医疗保健定位为一个高成长的垂直领域。

比最大的地区

在快速工业化、监管改革和数位化应用的推动下，亚太地区预计将在预测期内占据最大的市场份额。中国、印度和日本等国正大力投资ESG框架和人工智慧技术。政府指令和投资者压力正促使企业加强永续性资讯揭露。该地区精通技术的劳动力和不断拓展的企业环境为人工智慧的整合创造了肥沃的土壤。随着ESG意识的不断增强，亚太地区很可能在采用人工智慧进行永续性报告方面占据领先地位。

复合年增长率最高的地区

在预测期内，北美凭藉其成熟的法规环境和强大的技术基础设施，预计将呈现最高的复合年增长率。美国和加拿大日益严格的ESG法规和投资者积极性，正推动企业采用人工智慧来实现合规性和透明度。该地区的创新生态系统支援快速开发专为永续性量身定制的生成式和预测性人工智慧工具。随着对道德管治和气候变迁课责的需求日益增长，北美有望加速人工智慧主导的ESG解决方案的成长。

免费客製化服务

此报告的订阅者可以选择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
    • 次级研究资讯来源
    • 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
  • 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. 全球人工智慧主导的永续性报告和揭露市场（按组成部分）

  • 软体
  • 服务
    • 咨询
    • 整合与实施
    • 支援和维护

6. 人工智慧主导的永续性报告和揭露市场（按部署模式）

  • 云
  • 本地部署

7. 全球人工智慧主导的永续性报告和揭露市场（按组织规模）

  • 大公司
  • 小型企业

8. 人工智慧主导的永续性报告和揭露市场（按技术）

  • 机器学习（ML）
  • 自然语言处理（NLP）
  • 深度学习
  • 预测分析
  • 人工智慧世代
  • 其他的

9. 全球人工智慧主导的永续性报告和揭露市场（按最终用户划分）

  • 金融服务/BFSI
  • 能源与公共产业
  • 製造业
  • 资讯科技/通讯
  • 零售
  • 卫生保健
  • 政府/公共部门
  • 其他的

10. 全球人工智慧主导的永续性报告和揭露市场（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

第十一章 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

第十二章 公司概况

  • 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.