查看購物車
  • English
  • Japanese
  • Korean
封面
市場調查報告書
商品編碼
2112964

ESG資料智慧平台市場預測至2034年－按智慧類型、資料來源、分析技術、部署模式、最終使用者和地區分類的全球分析

ESG Data Intelligence Platforms Market Forecasts to 2034 - Global Analysis By Intelligence Type, Data Source, Analytics Technology, Deployment, End User, and 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 ESG 數據智慧平台市場預計將在 2026 年達到 24 億美元，並在預測期內以 20.4% 的複合年成長率成長，到 2034 年達到 106 億美元。

ESG數據智慧平台是先進的數位化解決方案，能夠收集和分析環境、社會和管治）數據，為企業、投資者和金融機構提供關於永續發展績效和風險的可操作洞察。這些平台整合了人工智慧、機器學習、數據分析、自動化報告和外部數據來源，以支援ESG指標評估、風險識別、績效基準分析和合規性檢查。 ESG數據智慧平台能夠提升永續發展和投資活動整體的數據準確性、透明度和決策品質。人們對責任投資、ESG報告和監管合規性的日益關注正在推動其在全球範圍內的普及應用。

由於監管加強了資訊揭露要求

ESG數據智慧平台收集、整合、分析和解讀環境、社會和管治）數據，以支援監管合規、風險評估、投資決策和企業永續發展報告。世界各國政府和金融監管機構正在實施更嚴格的ESG資訊揭露標準，要求企業在永續發展報告方面具備更高的準確性和透明度。投資人也越來越需要可靠的ESG洞察，以評估企業的長期績效和氣候相關風險。持續的數位轉型正在推動企業採用集中式ESG智慧解決方案。這些因素正加速全球各產業對ESG數據智慧平台的採用。

ESG資料調查方法的不一致性

各組織通常採用不同的報告框架、資料收集方法和永續性指標，這使得跨產業和跨地區比較ESG資訊變得困難。調查方法的差異會削弱ESG績效評估的可靠性和一致性。此外，整合來自多個內部和外部資訊來源的資料會增加營運複雜性。企業必須投入更多資源來標準化和檢驗ESG資訊。這些挑戰持續影響ESG資訊的品質和可比性。

監管報告自動化擴展

透過利用先進的數位平台，企業可以實現ESG資料收集、檢驗、報告和提交至監管機構的自動化，從而減少人工工作量和報告錯誤。人工智慧（AI）和工作流程自動化正在提升報告速度和營運效率。為了跟上不斷變化的永續發展法規，企業正在加大對自動化合規解決方案的投資。自動化報告還能實現對全球業務營運中ESG績效的即時監控。這些進步預計將為ESG智慧平台供應商帶來巨大的成長機會。

對「綠色清洗」影響實施的擔憂

投資者、監管機構和消費者越來越期望獲得透明、檢驗且基於證據的永續發展報告。不準確的ESG揭露和誤導性的永續發展聲明會削弱人們對所報告資訊的信任，並損害公司的聲譽。監管機構正在加強對ESG報告實踐的監督，以提高課責。平台提供者必須確保可靠的數據檢驗和透明的調查方法。這些問題可能會影響客戶信任和未來平台的使用率。

新型冠狀病毒（COVID-19）的影響：

新冠疫情加速了數位轉型，並提升了ESG報告的重要性，因為各組織更加重視業務韌性、社會責任和永續管治。疫情期間，企業擴大採用基於雲端的ESG平台來支援遠端報告、風險監控和監管合規。即使在復甦階段，投資者對透明的永續發展資訊的需求也持續成長。各組織在推動更廣泛的企業轉型計畫的同時，也擴展了其數位化ESG舉措。疫情顯著加速了ESG數據智慧平台的長期應用。

預計在預測期內，ESG風險情報領域將佔據最大的市場佔有率。

隨著各組織日益重視識別、監控和管理其業務營運和供應鏈中的環境、社會和管治 ( ESG) 風險，預計在預測期內，ESG 風險情報領域將佔據最大的市場佔有率。 ESG 風險情報平台提供全面的洞察，以支援監管合規、投資分析、企業風險管理和策略決策。金融機構、企業和投資者依靠這些解決方案來評估氣候風險、管治績效和社會影響。法律規範的加強進一步推動了對複雜 ESG 風險分析的需求。資料聚合和預測分析技術的不斷進步正在增強這些平台的功能。

在預測期內，機器學習領域預計將呈現最高的複合年成長率。

在預測期內，機器學習領域預計將呈現最高的成長率，從而實現ESG數據分析的自動化、報告異常的檢測、預測性洞察的生成以及永續性績效評估的改進。機器學習演算法能夠處理來自多個內部和外部來源的大量結構化和非結構化ESG資料。各組織機構正擴大採用人工智慧驅動的分析技術來提高報告的準確性並識別新興的永續性風險。智慧自動化技術的不斷進步正在擴展ESG智慧平台的功能。機器學習還能夠實現即時監控並加快監管合規進程。

市佔率最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率，這主要得益於其對ESG法規的高度遵守以及企業對ESG法規日益成長的採納率。美國憑藉ESG分析平台的廣泛應用、更嚴格的永續發展資訊揭露要求以及機構投資者的積極參與，在市場中處於領先地位。在加拿大，ESG報告正在金融服務、能源和工業領域不斷擴展；而在墨西哥，ESG智慧解決方案正逐步被採用，以加強企業管治和監管合規。先進的數位基礎設施和企業對技術的高採納率將繼續鞏固該地區的主導地位。

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，這主要得益於不斷擴大的ESG資訊揭露監管。中國正在加強對上市公司永續發展報告的要求，而印度則透過其企業社會責任與永續發展報告（BRSR）舉措加快ESG合規進程。日本持續推動永續金融和管治改革，新加坡則透過綠色金融和數位化永續發展計畫推動先進的ESG報告。監管支援的不斷加強和企業的快速數字化轉型，正在催生對ESG智慧解決方案的強勁需求。

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
    • 對主要公司進行SWOT分析（最多3家公司）
  • 區域細分
    • 根據客戶要求，我們可以提供主要國家的市場估算和預測，以及複合年成長率（註：需經可行性確認）。
  • 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領先公司進行基準分析。

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
  • 主要公司市佔率分析
  • 產品基準評效和效能比較

第5章：全球ESG資料智慧平台市場：依智慧類型分類

  • ESG風險情報
  • ESG績效智慧
  • 供應鏈 ESG 情報
  • ESG投資情報
  • 其他智力類型

第6章：全球ESG資料智慧平台市場：依資料來源分類

  • 公司資訊披露
  • 衛星和地理空間數據
  • 替代數據
  • 第三方ESG數據
  • 其他數據來源

第7章 全球ESG資料智慧平台市場：依分析技術分類

  • 人工智慧
  • 機器學習
  • 自然語言處理
  • 預測分析
  • 其他分析技術

第8章 全球ESG資料智慧平台市場：依部署方式分類

  • 基於雲端的
  • 現場

第9章 全球ESG資料智慧平台市場：依最終用戶分類

  • 資產管理公司
  • 銀行和金融機構
  • 政府機構
  • 其他最終用戶

第10章：全球ESG資料智慧平台市場：依地區分類

  • 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

  • Sustainalytics
  • MSCI Inc.
  • Bloomberg LP
  • RepRisk AG
  • Clarity AI
  • FactSet Research Systems Inc.
  • Morningstar, Inc.
  • LSEG
  • S&P Global Inc.
  • Moody's Corporation
  • ISS STOESG Data Intelligence Platforms GmbH
  • Arabesque AI
  • ESG Book
  • Datamaran
  • CSRHub LLC
Product Code: SMRC38981

According to Stratistics MRC, the Global ESG Data Intelligence Platforms Market is accounted for $2.40 billion in 2026 and is expected to reach $10.60 billion by 2034 growing at a CAGR of 20.4% during the forecast period. ESG data intelligence platforms are advanced digital solutions that collect and analyze environmental, social, and governance data to provide organizations, investors, and financial institutions with actionable insights into sustainability performance and risk. These platforms integrate artificial intelligence, machine learning, data analytics, automated reporting, and external data sources to evaluate ESG metrics, identify risks, benchmark performance, and support compliance. ESG data intelligence platforms improve data accuracy, transparency, and decision-making across sustainability and investment activities. Growing emphasis on responsible investment, ESG reporting, and regulatory compliance is driving their global adoption.

Market Dynamics:

Driver:

Increasing regulatory disclosure requirements

ESG data intelligence platforms collect, integrate, analyze, and interpret environmental, social, and governance data to support regulatory compliance, risk assessment, investment decisions, and corporate sustainability reporting. Governments and financial regulators are introducing stricter ESG disclosure standards that require organizations to improve the accuracy and transparency of sustainability reporting. Investors are also demanding reliable ESG insights to evaluate long-term business performance and climate-related risks. Continuous digital transformation is encouraging enterprises to adopt centralized ESG intelligence solutions. These factors are accelerating the adoption of ESG data intelligence platforms across global industries.

Restraint:

Inconsistent ESG data methodologies

Organizations often use different reporting frameworks, data collection methods, and sustainability metrics, making ESG information difficult to compare across industries and regions. Variations in calculation methodologies may reduce the reliability and consistency of ESG performance assessments. Integrating data from multiple internal and external sources also increases operational complexity. Companies must invest additional resources to standardize and validate ESG information. These challenges continue to affect the quality and comparability of ESG intelligence.

Opportunity:

Expansion in automated regulatory reporting

Advanced digital platforms can automate ESG data collection, validation, report generation, and regulatory submissions while reducing manual effort and reporting errors. Artificial intelligence and workflow automation are improving reporting speed and operational efficiency. Organizations are increasingly investing in automated compliance solutions to address evolving sustainability regulations. Automated reporting also enables real-time monitoring of ESG performance across global operations. These advancements are expected to create substantial growth opportunities for ESG intelligence platform providers.

Threat:

Greenwashing concerns affecting adoption

Investors, regulators, and consumers increasingly expect transparent, verifiable, and evidence-based sustainability reporting. Inaccurate ESG disclosures or misleading sustainability claims can reduce confidence in reported information and damage corporate reputation. Regulatory authorities are strengthening oversight of ESG reporting practices to improve accountability. Platform providers must ensure robust data validation and transparent reporting methodologies. These concerns may influence customer trust and future platform adoption.

Covid-19 Impact:

The COVID-19 pandemic accelerated digital transformation and strengthened the importance of ESG reporting as organizations placed greater emphasis on business resilience, social responsibility, and sustainable governance. Companies increasingly adopted cloud-based ESG platforms to support remote reporting, risk monitoring, and regulatory compliance during the pandemic. Investor demand for transparent sustainability information also increased during the recovery period. Organizations expanded digital ESG initiatives alongside broader corporate transformation programs. The pandemic significantly accelerated long-term adoption of ESG data intelligence platforms.

The ESG risk intelligence segment is expected to be the largest during the forecast period

The ESG risk intelligence segment is expected to account for the largest market share during the forecast period as organizations increasingly prioritize identifying, monitoring, and managing environmental, social, and governance risks across their operations and supply chains. ESG risk intelligence platforms provide comprehensive insights that support regulatory compliance, investment analysis, enterprise risk management, and strategic decision-making. Financial institutions, corporations, and investors rely on these solutions to evaluate climate risks, governance performance, and social impact. Growing regulatory oversight is further increasing demand for advanced ESG risk analytics. Continuous improvements in data aggregation and predictive analytics are enhancing platform capabilities.

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

Over the forecast period, the machine learning segment is predicted to witness the highest growth rate due to its ability to automate ESG data analysis, detect reporting anomalies, generate predictive insights, and improve sustainability performance assessment. Machine learning algorithms can process large volumes of structured and unstructured ESG data from multiple enterprise and external sources. Organizations are increasingly deploying AI-driven analytics to enhance reporting accuracy and identify emerging sustainability risks. Continuous advances in intelligent automation are expanding the capabilities of ESG intelligence platforms. Machine learning also enables real-time monitoring and faster regulatory compliance.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share owing to strong ESG regulatory compliance and enterprise adoption. The United States leads the market through widespread deployment of ESG analytics platforms, increasing sustainability disclosure requirements, and strong institutional investor participation. Canada is expanding ESG reporting across financial services, energy, and industrial sectors, while Mexico is gradually adopting ESG intelligence solutions to strengthen corporate governance and regulatory compliance. Advanced digital infrastructure and high enterprise technology adoption continue to support regional leadership.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR driven by expanding ESG disclosure regulations. China is strengthening sustainability reporting requirements for listed companies, while India is accelerating ESG compliance through Business Responsibility and Sustainability Reporting (BRSR) initiatives. Japan continues expanding sustainable finance and corporate governance reforms, and Singapore is promoting advanced ESG reporting through green finance and digital sustainability programs. Increasing regulatory support and rapid enterprise digitalization are creating strong demand for ESG intelligence solutions.

Key players in the market

Some of the key players in ESG Data Intelligence Platforms Market include Sustainalytics, MSCI Inc., Bloomberg L.P., RepRisk AG, Clarity AI, FactSet Research Systems Inc., Morningstar, Inc., LSEG, S&P Global Inc., Moody's Corporation, ISS STOXX GmbH, Arabesque AI, ESG Book, Datamaran and CSRHub LLC.

Key Developments:

In July 2026, MSCI Inc. announced a strategic partnership with UBS Group AG to expand its AI-powered data intelligence platform across private markets. The collaboration integrates MSCI's independent private capital datasets with automated workflow tools, delivering standardized asset-level transparency, performance analytics, and ESG reporting for wealth and asset managers globally.

In January 2026, Bloomberg L.P. expanded its ESG data intelligence offerings on the Bloomberg Terminal by introducing real-time CSRD and double materiality assessment tools. The launch allows financial institutions and corporate users to map supply chain emissions, track biodiversity metrics, and automate regulatory compliance reporting across international sustainability frameworks.

Intelligence Types Covered:

  • ESG Risk Intelligence
  • ESG Performance Intelligence
  • Supply Chain ESG Intelligence
  • ESG Investment Intelligence
  • Other Intelligence Types

Data Sources Covered:

  • Corporate Disclosures
  • Satellite & Geospatial Data
  • Alternative Data
  • Third-Party ESG Data
  • Other Data Sources

Analytics Technologies Covered:

  • Artificial Intelligence
  • Machine Learning
  • Natural Language Processing
  • Predictive Analytics
  • Other Analytics Technologies

Deployments Covered:

  • Cloud-Based
  • On-Premise

End Users Covered:

  • Asset Managers
  • Banks & Financial Institutions
  • Government Organizations
  • 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 ESG Data Intelligence Platforms Market, By Intelligence Type

  • 5.1 ESG Risk Intelligence
  • 5.2 ESG Performance Intelligence
  • 5.3 Supply Chain ESG Intelligence
  • 5.4 ESG Investment Intelligence
  • 5.5 Other Intelligence Types

6 Global ESG Data Intelligence Platforms Market, By Data Source

  • 6.1 Corporate Disclosures
  • 6.2 Satellite & Geospatial Data
  • 6.3 Alternative Data
  • 6.4 Third-Party ESG Data
  • 6.5 Other Data Sources

7 Global ESG Data Intelligence Platforms Market, By Analytics Technology

  • 7.1 Artificial Intelligence
  • 7.2 Machine Learning
  • 7.3 Natural Language Processing
  • 7.4 Predictive Analytics
  • 7.5 Other Analytics Technologies

8 Global ESG Data Intelligence Platforms Market, By Deployment

  • 8.1 Cloud-Based
  • 8.2 On-Premise

9 Global ESG Data Intelligence Platforms Market, By End User

  • 9.1 Asset Managers
  • 9.2 Banks & Financial Institutions
  • 9.3 Government Organizations
  • 9.4 Other End Users

10 Global ESG Data Intelligence Platforms 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 Sustainalytics
  • 13.2 MSCI Inc.
  • 13.3 Bloomberg L.P.
  • 13.4 RepRisk AG
  • 13.5 Clarity AI
  • 13.6 FactSet Research Systems Inc.
  • 13.7 Morningstar, Inc.
  • 13.8 LSEG
  • 13.9 S&P Global Inc.
  • 13.10 Moody's Corporation
  • 13.11 ISS STOESG Data Intelligence Platforms GmbH
  • 13.12 Arabesque AI
  • 13.13 ESG Book
  • 13.14 Datamaran
  • 13.15 CSRHub LLC

List of Tables

  • Table 1 Global ESG Data Intelligence Platforms Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global ESG Data Intelligence Platforms Market, By Intelligence Type (2023-2034) ($MN)
  • Table 3 Global ESG Data Intelligence Platforms Market, By ESG Risk Intelligence (2023-2034) ($MN)
  • Table 4 Global ESG Data Intelligence Platforms Market, By ESG Performance Intelligence (2023-2034) ($MN)
  • Table 5 Global ESG Data Intelligence Platforms Market, By Supply Chain ESG Intelligence (2023-2034) ($MN)
  • Table 6 Global ESG Data Intelligence Platforms Market, By ESG Investment Intelligence (2023-2034) ($MN)
  • Table 7 Global ESG Data Intelligence Platforms Market, By Other Intelligence Types (2023-2034) ($MN)
  • Table 8 Global ESG Data Intelligence Platforms Market, By Data Source (2023-2034) ($MN)
  • Table 9 Global ESG Data Intelligence Platforms Market, By Corporate Disclosures (2023-2034) ($MN)
  • Table 10 Global ESG Data Intelligence Platforms Market, By Satellite & Geospatial Data (2023-2034) ($MN)
  • Table 11 Global ESG Data Intelligence Platforms Market, By Alternative Data (2023-2034) ($MN)
  • Table 12 Global ESG Data Intelligence Platforms Market, By Third-Party ESG Data (2023-2034) ($MN)
  • Table 13 Global ESG Data Intelligence Platforms Market, By Other Data Sources (2023-2034) ($MN)
  • Table 14 Global ESG Data Intelligence Platforms Market, By Analytics Technology (2023-2034) ($MN)
  • Table 15 Global ESG Data Intelligence Platforms Market, By Artificial Intelligence (2023-2034) ($MN)
  • Table 16 Global ESG Data Intelligence Platforms Market, By Machine Learning (2023-2034) ($MN)
  • Table 17 Global ESG Data Intelligence Platforms Market, By Natural Language Processing (2023-2034) ($MN)
  • Table 18 Global ESG Data Intelligence Platforms Market, By Predictive Analytics (2023-2034) ($MN)
  • Table 19 Global ESG Data Intelligence Platforms Market, By Other Analytics Technologies (2023-2034) ($MN)
  • Table 20 Global ESG Data Intelligence Platforms Market, By Deployment (2023-2034) ($MN)
  • Table 21 Global ESG Data Intelligence Platforms Market, By Cloud-Based (2023-2034) ($MN)
  • Table 22 Global ESG Data Intelligence Platforms Market, By On-Premise (2023-2034) ($MN)
  • Table 23 Global ESG Data Intelligence Platforms Market, By End User (2023-2034) ($MN)
  • Table 24 Global ESG Data Intelligence Platforms Market, By Asset Managers (2023-2034) ($MN)
  • Table 25 Global ESG Data Intelligence Platforms Market, By Banks & Financial Institutions (2023-2034) ($MN)
  • Table 26 Global ESG Data Intelligence Platforms Market, By Government Organizations (2023-2034) ($MN)
  • Table 27 Global ESG Data Intelligence Platforms Market, By Other End Users (2023-2034) ($MN)

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