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Investor ESG Software Market Size 2025-2029

The investor ESG software market size is forecast to increase by USD 976 million, at a CAGR of 15.7% between 2024 and 2029.

The market exhibits steady growth, driven by the increasing volumes of corporate data. This data influx necessitates advanced software solutions to effectively manage Environmental, Social, and Governance (ESG) information. An emerging trend in this market is the integration of analytics capabilities into investor ESG software. While this offers significant potential for enhanced data insights and improved decision-making, it also necessitates high initial capital investments. A key challenge in the market is ensuring data accuracy and reliability, as ESG data can be complex and difficult to obtain and verify.
Additionally, the integration of various data sources and maintaining data security are significant obstacles that companies must address to effectively leverage investor ESG software. Companies seeking to capitalize on market opportunities and navigate challenges effectively should focus on data accuracy, invest in advanced analytics capabilities, and prioritize data security measures.

What will be the Size of the Investor ESG Software Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The Environmental, Social, and Governance (ESG) software market continues to evolve, with dynamic market activities unfolding across various sectors. ESG performance indicators, carbon footprint analysis, and social audits are integrated into software solutions, enabling seamless scenario planning and social impact measurement. Reputational risk, long-term value creation, and environmental risk assessment are assessed through data integration and analytics. Sustainable business practices and stakeholder engagement are prioritized, with ESG data management and materiality assessment ensuring transparency and ethical conduct. Risk mitigation strategies, including risk scoring and governance audits, are employed to minimize potential threats. Cloud computing, regulatory compliance, and API integration facilitate data security, privacy, and reporting automation.

Impact investing, due diligence, and investment decisions are informed by ESG data and analytics. Machine learning and artificial intelligence (AI) are utilized for greenwashing detection and performance measurement. Software-as-a-Service (SaaS) offerings enable supply chain traceability, risk management, and reporting frameworks. User experience (UX) and user interface (UI) designs prioritize accessibility and ease of use. Legal compliance and workflow automation streamline operations and enhance operational efficiency. ESG integration is a continuous process, with ongoing market activities shaping the landscape. ESG software solutions adapt to evolving stakeholder expectations and regulatory requirements, ensuring sustainable business practices and stakeholder engagement.

How is this Investor ESG Software Industry segmented?

The investor esg software industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Component

  Software
  Services


Deployment

  On-premises
  Cloud


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    UK


  APAC

    China
    India
    Japan
    South Korea


  South America

    Brazil


  Rest of World (ROW)

By Component Insights

The software segment is estimated to witness significant growth during the forecast period.

The investor Environmental, Social, and Governance (ESG) software market is experiencing significant growth in 2024, driven by the software industry's innovative solutions. These software offerings facilitate the collection, analysis, and reporting of ESG performance indicators, such as carbon footprint analysis, social audits, and financial performance. By integrating ESG data with financial data, investors can make more informed decisions that align with ethical and environmental standards. ESG software solutions also provide risk mitigation strategies, due diligence, and regulatory compliance features, addressing concerns related to reputational risk, long-term value creation, and environmental risk assessment. Furthermore, software-as-a-service (SaaS) platforms enable real-time data access, data security, and privacy, enhancing the user experience (UX) for investors.

Impact investing, governance risk management, and supply chain traceability are essential aspects of ESG investing, and software solutions offer advanced features for these areas. Predictive analytics, scenario planning, social impact measure

ESG Data Provider Market Outlook

According to our latest research, the global ESG Data Provider market size reached USD 2.67 billion in 2024, reflecting robust demand driven by the increasing integration of ESG (Environmental, Social, and Governance) criteria across investment and corporate strategies. The market is projected to grow at a CAGR of 18.4% from 2025 to 2033, reaching a forecasted value of USD 13.31 billion by 2033. This significant expansion is fueled by heightened regulatory requirements, growing investor demand for transparency, and the rapid digitization of ESG reporting processes.

One of the primary growth factors for the ESG Data Provider market is the intensifying regulatory landscape worldwide. Governments and regulatory bodies across regions such as North America, Europe, and Asia Pacific are mandating more comprehensive ESG disclosures from publicly listed companies and financial institutions. This evolution in policy frameworks compels organizations to seek reliable and granular ESG data to ensure compliance, risk management, and accurate reporting. The adoption of global standards like the Task Force on Climate-related Financial Disclosures (TCFD) and the European Union’s Sustainable Finance Disclosure Regulation (SFDR) has further accelerated the demand for ESG data providers, driving market expansion and innovation in data collection, analytics, and reporting services.

Another crucial driver is the shifting investment paradigms among institutional and retail investors. Stakeholders are increasingly prioritizing ESG criteria in their decision-making processes, seeking investments that align with sustainability goals and ethical considerations. Asset managers, pension funds, and sovereign wealth funds are integrating ESG data into portfolio construction, risk assessment, and performance measurement. This shift not only amplifies the need for accurate, timely, and comparable ESG data but also stimulates the development of advanced analytics and AI-powered tools by ESG data providers. The proliferation of sustainable finance products, including green bonds and ESG-themed ETFs, further underscores the critical role of data providers in enabling transparent and responsible investment practices.

Technological advancements and digital transformation are also pivotal in shaping the ESG Data Provider market. The integration of big data analytics, artificial intelligence, and machine learning has revolutionized the way ESG data is collected, processed, and disseminated. Modern ESG data platforms offer automated data aggregation, real-time analytics, and customizable dashboards, enhancing the accessibility and utility of ESG insights for diverse end-users. These innovations not only improve data quality and coverage but also empower organizations to derive actionable intelligence for strategic decision-making, risk mitigation, and stakeholder engagement. As digital solutions become more sophisticated and scalable, ESG data providers are well-positioned to capture new growth opportunities across industries and geographies.

From a regional perspective, North America and Europe continue to dominate the ESG Data Provider market, collectively accounting for more than 65% of the global market share in 2024. North America benefits from a mature financial sector, proactive regulatory environment, and early adoption of ESG integration by asset managers and corporations. Europe, on the other hand, is at the forefront of ESG regulation and sustainable finance, with the EU driving ambitious climate and social objectives. Asia Pacific is emerging as a high-growth market, propelled by rapid economic development, evolving regulatory frameworks, and increasing investor awareness. Latin America and the Middle East & Africa are witnessing gradual adoption, supported by global capital flows and multinational corporate activities. The regional dynamics are expected to evolve further as ESG practices become mainstream and regulatory convergence accelerates.

Data Type Analysis

The &l

Our impact valuation data allows investors to measure, value and benchmark impacts of business activities across Natural, Human and Financial Capital KPIs.

Presented in the form of economic values, GIST's approach gives investors a common yardstick by which to understand materiality fully and accurately, so that they can manage risks, identify hidden alpha, and make informed decisions to stay ahead of the curve.

Investors can use our ESG data to screen potential investments, manage and track ESG performance across their portfolios, and clearly communicate materiality across all ESG dimensions.

Why use GIST's impact valuation data?

1. Measure all impacts of a company on shareholders and society - not just carbon / environmental impacts GIST calculates a company's impact across all four capitals - Natural, Human, Social and Financial, covering 18 main KPIs and 350+ sub-KPIs. Analysts are looking for as much data as possible on hidden alpha - and GIST provides coverage across all material impacts of a company's activities that might present a future risk - or an opportunity.

2. Compare easily across different metrics GIST uses scientific and economic modelling to provide accurate calculations of the impacts of a company in economic terms - providing a $ value of the impact on stakeholders and society. Analysts find themselves trying to make sense of fundamentally different metrics - parts per million of air pollution, tonnes of GHG emissions, gallons of water consumed, m2 land use change. GIST allows apples-to-apples comparison by converting all these different impacts into $ values (which are geography-specific), so you can understand the relative size of a company's air pollution impacts against its water consumption impacts, for example.

3. Benchmark performance across a portfolio, and within and across sectors Most sustainability scores, ratings and rankings evaluate companies within their sectors. This creates artificial distinctions and makes it difficult for analysts to measure how a company is performing in absolute terms (compared to relative grading). GIST calculates absolute impact, measured in $ values, to provide a simple, straightforward analysis that can be applied within sectors, and across sectors, to compare all the companies in a portfolio against each other accurately and make informed decisions.

4. Identify and manage material risks More traditional views of ‘risk’ have typically focused on the direct risk to a company’s P&L, and its ‘produced’ or ‘financial’ capital. These are risks that come from environmental dependencies (e.g. logistics companies threatened by storms/cyclones, agricultural companies threatened by crop failure, etc.) GIST takes a broader view and also measure risks that come from impacts of a company - not just what affects a company’s P&L directly, but what affects assets of society (natural, social, human capital) and is therefore an externality at risk of eventually being internalized - through regulation or otherwise. Assets in the oil and gas industry that have been a stranded as a result of regulatory and legal action are a good example of this risk becoming reality.

5. Understand how impact changes based on location GIST uses a granular, location-specific approach which means that with location data for activities (e.g., air pollution, waste), we can calculate the impact on shareholders and society based on local context - environmental, ecological, health, socioeconomic and demographic, so we can make more accurate estimates for example for a city in Ghana vs. a city in Sweden. As disclosure is expected to increase dramatically in the next 2 years, GIST's methodology is equipped with a level of resolution that can provide insights that are constantly increasing in precision.

ESG Data Orchestration Platform Market Outlook

According to our latest research, the global ESG Data Orchestration Platform market size in 2024 stands at USD 2.14 billion, driven by surging regulatory demands and heightened corporate sustainability commitments. The market is experiencing robust expansion, registering a CAGR of 18.7% from 2025 to 2033. By the end of 2033, the market is projected to reach USD 11.35 billion. This impressive growth trajectory is primarily fueled by increasing stakeholder demand for transparent Environmental, Social, and Governance (ESG) disclosures, as well as the proliferation of digital transformation initiatives across industries worldwide.

The growth of the ESG Data Orchestration Platform market is underpinned by the escalating complexity and volume of ESG data that organizations must collect, process, and report. As global ESG regulations become more stringent, companies are compelled to adopt advanced platforms that can seamlessly integrate disparate data sources, automate data workflows, and ensure compliance. Furthermore, the increased scrutiny from investors, regulators, and consumers regarding sustainable business practices is prompting organizations to invest in sophisticated platforms that provide real-time analytics and actionable insights. This trend is especially pronounced in industries such as BFSI, energy & utilities, and manufacturing, where ESG risk exposure is considerable, and the need for comprehensive data orchestration is paramount.

Another significant growth driver is the rapid digitalization of business operations and the integration of ESG considerations into core business strategies. Organizations are leveraging ESG data orchestration platforms to streamline their compliance management, enhance risk mitigation, and improve overall governance structures. The adoption of cloud-based solutions is accelerating, given their scalability, flexibility, and cost-effectiveness, enabling both large enterprises and SMEs to deploy ESG data orchestration platforms with minimal upfront investment. Additionally, the rising adoption of artificial intelligence and machine learning within these platforms is enabling more accurate predictive analytics, anomaly detection, and automated reporting, further fueling market growth.

The proliferation of global sustainability frameworks, such as the Task Force on Climate-related Financial Disclosures (TCFD) and the Global Reporting Initiative (GRI), is also catalyzing the expansion of the ESG Data Orchestration Platform market. These frameworks require organizations to disclose granular ESG metrics, necessitating robust data management and orchestration capabilities. Consequently, platform vendors are increasingly focusing on enhancing interoperability, expanding integration capabilities, and offering tailored solutions for sector-specific requirements. The market is also witnessing significant investments in research and development, partnerships, and mergers and acquisitions, aimed at broadening product portfolios and strengthening market presence.

From a regional perspective, North America currently leads the ESG Data Orchestration Platform market, accounting for the largest share in 2024, closely followed by Europe. The Asia Pacific region is emerging as a lucrative market, driven by rapid industrialization, evolving regulatory landscapes, and growing awareness of ESG risks and opportunities. Latin America and the Middle East & Africa are also witnessing steady growth, albeit from a smaller base, as multinational corporations expand their ESG initiatives and local regulations evolve. Overall, the global market is poised for sustained growth, supported by technology advancements, regulatory tailwinds, and a growing recognition of the strategic value of ESG data orchestration.

Component Analysis

The Component segment of the ESG Data Orchestration Platform market is bifurcated into Software and Services. Software solutions constitute th

ESG DATA PRODUCT DESCRIPTION

Market-leading ESG dataset tracking corporate waste management performance across 4,000+ global companies. Our data provides granular breakdowns of hazardous and non-hazardous waste streams, alongside comprehensive coverage of disposal methods and recovery rates. Through rigorous standardization of waste categories and treatment methods, we enable precise cross-company comparisons and sectoral benchmarking.

ESG DATA PRODUCT CHARACTERISTICS

• Company Coverage:              4,000+ companies • Geographical Coverage:       Global • Sectorial Coverage:                All sectors • Data Historical Range:           2021 - 2024 • Median Data History:             2 years • Data Traceability Rate:           100% • Data Frequency:                     Annual • Average Reporting Lag:         3 months • Data Format:                            Most Recent/Point-in-Time

UNIQUE DATA VALUE PROPOSITION

Uncompromised Standardization

When company waste data do not align with standard waste reporting frameworks, our team of environmental engineers meticulously maps the reported data to the correct waste categories and disposal methods. This guarantees uniformity and comparability across our dataset, bridging the gap created by diverse reporting formats.

Precision in Every Figure

Our advanced cross-source data precision matching algorithm ensures that the most accurate data is always delivered. For instance, an exact figure like 1,542,450 tCO2e is prioritized over a rounded figure like 1,500,000 tCO2e, reflecting our dedication to precision and detail.

Accuracy in Every Metric

Our advanced cross-source data precision matching algorithm ensures that the most accurate data is always delivered. For instance, an exact figure like 15,245 metric tons of waste is prioritized over a rounded figure like 15,000 metric tons, reflecting our dedication to precision and detail.

Unbiased Data Integrity

Our approach is grounded in delivering waste data exactly as reported by companies, without making inferences or estimates for undisclosed data. This strict adherence to factual reporting ensures the integrity of the data you receive, providing an unaltered and accurate view of corporate waste management.

End-to-End Data Traceability

Every data point we provide is directly traceable to its original source, down to the page numbers and exact coordinates within source documents. This level of detail ensures you have access to the most reliable and verifiable waste data available, equipping you with data you can trust completely.

Full-Scope Boundary Verification

We tag waste figures that do not cover a company's entire organizational or operational boundaries with an 'Incomplete Boundaries' attribute. This attribute enhances transparency and ensures the comparability of our data by keeping you informed of any potential limitations.

USE CASES

Asset Management

Utilize waste management data for comprehensive portfolio management, including SFDR and TNFD compliance reporting, sustainability benchmarking, risk analysis, thematic investment strategies focused on circular economy, and stewardship activities. The data enables assessment of waste-related risks, identification of sustainability leaders, and supports engagement with portfolio companies.

Financial Institutions & Banking

Leverage waste data for credit risk assessment, green lending, environmental due diligence, regulatory compliance, and supply chain finance. The data supports evaluation of borrower operational efficiency, structuring of sustainability-linked products, and development of circular economy financing solutions.

FinTech

Develop technology solutions incorporating waste management data, including ESG analytics platforms, sustainability reporting solutions, supply chain analytics tools, impact measurement platforms, and sustainable investment apps for retail investors, enabling comprehensive assessment and monitoring of corporate waste performance.

GreenTech & ClimateTech

Use waste data to power circular economy solutions, waste management software, environmental compliance platforms, and sustainability management software, enabling optimization of waste operations, regulatory compliance monitoring, and comprehensive environmental performance tracking.

Corporates

Employ waste data for performance benchmarking against industry peers, supply chain optimization, sustainability reporting, and procurement strategy development, enabling data-driven decision-making in waste management and circular economy initiatives.

Professional Services & Consulting

Utilize waste data for industry research and benchmarking, ESG advisory services, sustainability strategy development, and regulatory compliance advisory, helping clients improve environmental performance and meet regulatory requirements.

Research & Academia

Analyze waste management data for enviro...

Lucror Analytics: Comprehensive Sustainability Data on High Yield Bond Issuers

At Lucror Analytics, we specialize in delivering meticulously curated data solutions designed for professionals and organizations across various sectors. Our data products focus on issuer and issue-level credit information, over 300 advanced ESG and sustainability metrics, and proprietary quantitative insights for high-yield bond issuers in Europe, Latin America, and Asia. Whether you are an asset manager, institutional investor, or sustainability-focused institution, our comprehensive data provides the insights needed to make informed decisions.

Our proprietary approach integrates industry-leading ESG methodology with analyst-adjusted credit data, offering a unique, customizable solution that adapts to your requirements. We ensures data quality, relevance, and actionable insights, enabling users to stay ahead in a rapidly evolving regulatory environment.

What Makes Lucror's Sustainability Data Data Unique?

Comprehensive ESG Integration Our datasets feature over 300 ESG metrics per issuer, carefully analyzed and curated by experts to provide actionable insights. Our integrated approach allows businesses to incorporate sustainability factors seamlessly into their workflows, enhancing investment strategies and aligning with regulatory or ethical standards.

Analyst-Adjusted and Data-Enriched Lucror’s data is not merely aggregated—it is curated, analyzed, and, where appropriate, adjusted by our team of experts. This human layer ensures accuracy and relevance, providing users with data that reflects real-world dynamics rather than raw or unverified figures.

Focus on High-Yield Bond Issuers Our exclusive focus on high-yield bond issuers in Europe, Latin America, and Asia provides a niche yet vital dataset. We offer detailed insights into the ESG performance and sustainability profile of over 400 companies, ensuring comprehensive coverage across key HY markets.

Customization and Delivery We understand that every organization has unique data requirements. Lucror Analytics offers flexible datasets tailored to your specific needs, delivering data in the desired depth, format, and frequency. Whether you need one-off access or periodic updates, our delivery options are designed to fit seamlessly into your operations.

How Is the Data Sourced? Lucror Analytics uses a multi-faceted approach to data sourcing, combining publicly available information with proprietary insights and expertise. Our process includes:

Public Sources: Reliable inputs such as issuer filings, bond documentation, annual and sustainability reports, ESG disclosures, and press releases are systematically incorporated.

Proprietary Analysis: Expert teams curate and enrich the raw data, ensuring accuracy and applicability.

Data Cleaning and Structuring: Advanced processes ensure that raw inputs are cleaned and structured to deliver actionable information.

Our rigorous methodology allows us to provide high-quality, validated data that organizations can trust.

Primary Use Cases Lucror Analytics’ data products cater to a wide range of applications across different verticals. Some of the primary use cases include:

1. ESG Investing - Integration and Reporting With increasing demand for sustainable investing, our ESG data empowers organizations to evaluate and integrate environmental, social, and governance factors into their decisions. The metrics are particularly valuable for asset managers and institutions aligning with ESG frameworks or regulatory requirements.

2. Regulatory Compliance Lucror’s datasets are invaluable for organizations navigating the increasingly stringent regulatory landscape. With detailed ESG metrics and issuer-level credit data, businesses can ensure compliance with global and regional reporting requirements, such as the EU Taxonomy, SFDR (Sustainable Finance Disclosure Regulation), SASB, and other frameworks. Our enriched data enables companies to meet disclosure obligations, align with sustainability goals, and maintain transparency with stakeholders, reducing compliance risks and enhancing trust in their practices.

3. Risk Management Incorporating Lucror’s comprehensive datasets into risk models enables businesses to identify vulnerabilities and mitigate potential risks more effectively. This is especially critical in high-yield markets where risk factors are more pronounced and ESG data for some issuers is sparse.

Key Features of Lucror’s Sustainability Data

ESG and Sustainability Metrics Over 300 analyst-curated ESG metrics covering environmental impact, social responsibility, governance standards, and disclosure practices.

Tailored Datasets Flexibility to deliver data in customized formats and frequencies, ensuring alignment with specific business needs.

Global Coverage with a Regional Focus Comprehensive datasets tailored to key regions for high yield —Europe, Latin Am...

ESG Data Tokenization Market Outlook

According to our latest research, the global ESG Data Tokenization market size reached USD 1.24 billion in 2024, reflecting robust momentum driven by the increasing need for secure, transparent, and efficient ESG data management across industries. The market is expected to grow at a CAGR of 21.7% from 2025 to 2033, reaching an estimated USD 8.58 billion by 2033. This impressive growth trajectory is primarily fueled by the rising adoption of blockchain-based solutions for ESG data, stringent regulatory requirements, and the growing demand for real-time ESG insights among enterprises and investors.

The primary growth factor for the ESG Data Tokenization market is the surging emphasis on sustainability and responsible investing. Enterprises and asset managers are under mounting pressure from stakeholders, regulators, and consumers to demonstrate transparency and accountability in their environmental, social, and governance (ESG) practices. Tokenizing ESG data enables organizations to digitize, standardize, and securely share ESG metrics, fostering trust and credibility in sustainability claims. This not only streamlines compliance and reporting but also unlocks new opportunities for ESG-linked financial products. Additionally, the integration of advanced analytics and artificial intelligence with tokenized ESG data platforms is enhancing the granularity and reliability of ESG insights, further boosting market adoption.

Another significant driver is the evolution of global regulatory frameworks mandating ESG disclosures and reporting. Governments and regulatory bodies across North America, Europe, and Asia Pacific are introducing stricter guidelines for ESG data transparency and traceability. Tokenization technologies, underpinned by blockchain, address these requirements by providing immutable records, auditable trails, and automated compliance mechanisms. This regulatory push is compelling organizations—especially in highly scrutinized sectors such as BFSI, energy, and manufacturing—to adopt ESG data tokenization solutions to mitigate compliance risks, avoid penalties, and attract ESG-conscious investors.

Technological advancements and the proliferation of decentralized finance (DeFi) are also catalyzing the growth of the ESG Data Tokenization market. The convergence of tokenization platforms with IoT, cloud computing, and big data analytics is enabling seamless integration of ESG data streams from diverse sources, including supply chains and operational systems. This holistic approach ensures real-time monitoring, verification, and monetization of ESG performance, making tokenized ESG data a valuable asset for trading, investment, and risk management. As the ecosystem matures, interoperability standards and ecosystem partnerships are further accelerating the adoption of ESG data tokenization across both large enterprises and SMEs.

From a regional perspective, North America currently dominates the ESG Data Tokenization market due to its advanced technological infrastructure, proactive regulatory environment, and high concentration of institutional investors prioritizing ESG mandates. Europe follows closely, propelled by progressive ESG regulations such as the EU Taxonomy and SFDR. Meanwhile, Asia Pacific is emerging as a high-growth market, driven by rapid digitalization and increased focus on sustainable development in countries like China, Japan, and Singapore. Latin America and the Middle East & Africa are also witnessing growing interest, particularly in sectors such as energy, mining, and agriculture, where ESG transparency is becoming a competitive differentiator.

Component Analysis

The Component segment of the ESG Data Tokenization market is bifurcated into Platform and Services. Platforms form the technological backbone, providing the necessary infrastructure for tokenizing, storing, and managing ESG data securely. These platforms leverage blockchain and distributed ledger te

Veridion provides AI-powered ESG data designed to deliver detailed, real-time insights into companies' Environmental, Social, and Governance performance. This data supports critical business functions like sustainable growth, risk management, and regulatory compliance. Veridion aims to create comprehensive profiles and deliver actionable insights on any business with a digital footprint.

Veridion's approach to collecting and processing ESG data involves a four-step methodology: Extract, Analyze, Interpret, and Enrich. Data is extracted by using proprietary machine-learning models to crawl company websites and monitor a wide range of global and local news sources. This process captures public ESG commitments, activities, targets, certifications, and controversies related to the organization. AI and advanced technologies are utilized to extract precise and detailed data related to specific ESG risk criteria, delivering real-time ESG updates.

The collected data is then classified using a rigorous ESG taxonomy across three pillars: Environmental, Social, and Governance. This taxonomy breaks down data into Themes and Risks, covering granular areas such as climate change, human rights, corporate ethics, atmospheric contamination, and waste management. Sentiment analysis is integrated to evaluate the tone of ESG actions, providing a nuanced view beyond simple scores. Finally, ESG profiles are enriched with firmographic attributes, such as company locations, products, services, NAICS classifications, employee count, and revenue, providing crucial business context. This detailed approach allows users to see beyond opaque aggregated scores.

Key features and benefits of Veridion's ESG data include:

• Extensive Global Coverage: Data is available for over 134 million companies across 250 geographies. This provides coverage in emerging markets and regions where competitors may have less depth of coverage.

• Enhanced Visibility for SMBS: Veridion specifically addresses the challenge of finding comprehensive ESG data for Small and Medium Businesses (SMBS). By harnessing news and web presence data, Veridion provides real-time insights into their ESG actions.

• Optimal Data Freshness: Data is updated weekly, guaranteeing freshness and enabling swift monitoring and response to changes. This is in contrast to competitors who may update less frequently.

• AI-Driven Accuracy and Customization: Veridion's AI expertise ensures tailored, high-accuracy outputs. Data quality is maintained through Entity Resolution, Triangulation from multiple sources, confidence scores, and validation. Only data with sufficient certainty is included.

• Granularity: The data provides in-depth coverage, including detailed locational data down to geo-coordinates, precise products and services offered, and granular industry classifications such as NAICS and SIC. Planned enhancements will introduce further granularity (L2, L3) for more exact analysis.

The data includes Company ESG News, Company ESG Commitments, GHG Emissions & Targets, and ESG Scores. ESG scores are comprehensive, data-driven, AI-powered, industry-specific, and supported by textual justifications.

Veridion's ESG data supports several critical use cases:

• Risk Management: Assess supplier risks, analyze investment risks, and incorporate ESG data into insurance underwriting models. Veridion's data is relevant for Third Party Risk Management (TPRM) by providing detailed profiles to identify and mitigate supply chain risks.

• Compliance: Aids compliance with regulations like CSRD, EU Taxonomy, CBAM, and CSDDD. Product and service data are essential for CBAM and the EU Taxonomy, while locational data assists with climate and human rights risk analysis for reporting purposes.

• Market Intelligence: Enhances databases for risk assessments and investment analysis, improving coverage of private companies.

• Procurement: Integrates ESG data into procurement processes to identify suppliers with robust environmental, social, and governance (ESG) practices. It enhances supply chain visibility and compliance by providing detailed data on risks and sustainability commitments. Using this data revealed suppliers in high-risk areas for forced labour, enabling enhanced due diligence. It helps address challenges like Scope 3 emissions reporting.

• Insurance: Enhances due diligence and risk assessment in commercial insurance, enabling tailored coverage and addressing specific risks. It supports proactive policy management by monitoring changes in locations and product types. The data provides insights into environmental, social, and governance (ESG) factors that are critical for assessing risks and tailoring policies. Accessing data points that would traditionally take hours to process manually can be done rapidly through Veridion.

Data is delivered via batch file delivery (CSV) and API integration. The Search API enables finding companies based on specific ...

As of 2024, Hewlett Packard Enterprise Company was placed in the number-*** spot by the JUST Capital annual survey. This survey reviews America’s largest publicly traded companies in relation to environmental, social, and corporate governance (ESG) responsibility. The survey operated a sample group of over ***** respondents, revising five major categories each carrying a different weight. Upon gathering the public opinion of leading publicly traded firms, data was evaluated in relevance to the weighted importance of each ESG category. Bank of America Corp. took the ****** place spot in the overall company rankings, receiving *** points in the highest weighted category, "workers". Evolving investor criteria When reviewing ESG drivers, institutional investors placed significant weight on ESG ratings when making investment choices. While regional taxonomy alignment had minimal impact, ESG ratings emerged as the top factor influencing investment decisions. This shift has indicated a growing sophistication in how investors evaluate companies' sustainability efforts. Interestingly, many investors have developed their own ESG rating criteria when evaluating financial securities, such as ETFs, demonstrating a desire for more tailored and nuanced assessments of corporate responsibility. Consumer preferences driving change The impact of ESG factors has extended beyond the investment world, significantly influencing consumer behavior, particularly among younger demographics. For instance, over ** percent of Gen Z Hispanics in the U.S. consider eco-friendly packaging a key factor in their purchasing decisions. This trend, along with concerns about animal welfare, natural products, and fair labor practices, highlights the growing importance of ESG considerations in shaping market demand. As consumers and investors increasingly prioritize these factors, companies will likely face pressure to improve their ESG performance to remain competitive.

ESG & Sustainability Consulting Services Market Outlook

As per our latest research, the global ESG & Sustainability Consulting Services market size reached USD 11.8 billion in 2024. The market is experiencing robust growth, and it is projected to expand at a CAGR of 12.3% during the forecast period. By 2033, the market is forecasted to reach USD 33.5 billion. This remarkable growth is primarily driven by increasing regulatory requirements, stakeholder pressure for transparency, and a growing recognition among organizations of the long-term value creation associated with robust ESG (Environmental, Social, and Governance) strategies.

The surge in the ESG & Sustainability Consulting Services market is fueled by a confluence of factors, chief among them being the tightening of global regulations and standards concerning sustainability and corporate responsibility. Regulatory bodies across major economies are mandating more rigorous ESG disclosures and compliance, compelling organizations to seek specialized consulting services to navigate this evolving landscape. Additionally, investors are increasingly incorporating ESG factors into their decision-making processes, which has led to a heightened demand for third-party verification and strategic advisory services. This shift is not just regulatory but also market-driven, as organizations recognize that robust ESG performance can enhance brand reputation, reduce risk, and unlock new avenues for growth and investment.

Another significant growth driver is the rising awareness among companies regarding the financial and operational benefits of sustainable business practices. As climate change and social issues take center stage, organizations are under pressure to manage risks associated with environmental impact, labor practices, and governance structures. Consulting firms are playing a pivotal role in helping organizations identify material ESG issues, set ambitious targets, and develop comprehensive strategies that align with both regulatory expectations and stakeholder demands. This trend is particularly pronounced in sectors such as BFSI, energy, manufacturing, and technology, where ESG considerations are increasingly integrated into core business strategies and risk management frameworks.

Moreover, the proliferation of ESG reporting frameworks and standards, such as the Global Reporting Initiative (GRI), Sustainability Accounting Standards Board (SASB), and Task Force on Climate-related Financial Disclosures (TCFD), has created a complex landscape for organizations to navigate. Consulting firms offer essential expertise in harmonizing reporting practices, ensuring data accuracy, and facilitating third-party verification and certification. As organizations strive to demonstrate credibility and transparency in their sustainability disclosures, the demand for consulting services focused on reporting, assurance, and supply chain management continues to soar. The market is also witnessing the emergence of niche service providers specializing in areas like climate risk assessment, circular economy, and sustainable finance, further diversifying the competitive landscape.

From a regional perspective, North America and Europe currently dominate the ESG & Sustainability Consulting Services market, accounting for a combined market share exceeding 60% in 2024. This dominance is attributable to stringent regulatory frameworks, early adoption of ESG principles, and a mature ecosystem of service providers in these regions. However, Asia Pacific is emerging as a high-growth market, propelled by rapid industrialization, increasing investor activism, and evolving regulatory mandates. Latin America and the Middle East & Africa are also witnessing steady growth, albeit from a lower base, as governments and corporations in these regions increasingly recognize the strategic value of ESG integration. The overall regional outlook suggests a broadening of the market’s geographic footprint, with significant opportunities for both global and local consulting firms.

Service Type Analysis

The

This dataset encompasses empirical data on the impact of intelligent manufacturing(IM) on corporate ESG performance (ESG) across A-share listed companies in Shanghai and Shenzhen from 2009 to 2022 as the research sample.

ESG Reporting Software Market Outlook

As per our latest research, the global ESG Reporting Software market size in 2024 stands at USD 2.4 billion, with a robust CAGR of 15.2% projected for the period from 2025 to 2033. By the end of 2033, the market is expected to reach approximately USD 7.7 billion. This substantial growth is primarily driven by the increasing regulatory pressure for transparent sustainability disclosures and the growing realization among organizations about the strategic importance of ESG (Environmental, Social, and Governance) compliance in enhancing corporate reputation and stakeholder trust.

One of the primary growth factors propelling the ESG Reporting Software market is the intensifying regulatory landscape. Governments and regulatory bodies across the globe are mandating stricter disclosure of ESG metrics, compelling organizations to adopt advanced software solutions for comprehensive and accurate reporting. The European Union’s Sustainable Finance Disclosure Regulation (SFDR) and the US SEC’s proposed ESG disclosure requirements are prime examples of such regulatory initiatives. These frameworks are pushing both public and private enterprises to invest in robust ESG reporting platforms that can automate data collection, standardize reporting formats, and ensure seamless compliance with evolving standards. As a result, organizations are increasingly seeking integrated ESG reporting software to reduce the risk of non-compliance penalties and to meet the growing expectations of investors and consumers for transparency.

Another significant driver for the ESG Reporting Software market is the rising demand for data-driven decision-making in sustainability strategies. Companies are recognizing that effective ESG reporting is not just about compliance but also about leveraging insights to drive long-term value creation. Modern ESG reporting solutions offer powerful analytics and visualization capabilities, enabling organizations to identify risks, optimize resource allocation, and benchmark their sustainability performance against peers. The integration of artificial intelligence and machine learning into ESG platforms is further enhancing the ability of enterprises to glean actionable insights from vast datasets, automate audit trails, and improve the accuracy of their disclosures. This shift towards a more analytical and strategic approach to ESG is fueling the adoption of sophisticated reporting solutions across industries.

The growing emphasis on corporate reputation and stakeholder engagement is also contributing to the expansion of the ESG Reporting Software market. Investors, customers, and employees are increasingly prioritizing organizations that demonstrate genuine commitments to environmental stewardship, social responsibility, and ethical governance. As ESG factors become central to investment decisions and brand loyalty, enterprises are leveraging reporting software to communicate their sustainability progress effectively and transparently. The ability to generate customizable, real-time ESG reports and dashboards helps organizations engage stakeholders more meaningfully, manage reputational risks, and attract sustainable investments. This trend is particularly pronounced among large enterprises but is rapidly gaining traction among small and medium-sized enterprises (SMEs) as well, further broadening the market’s potential.

Regionally, North America and Europe remain at the forefront of ESG Reporting Software adoption, driven by stringent regulatory requirements and a mature sustainability culture. However, the Asia Pacific region is emerging as a significant growth engine, fueled by rapid industrialization, rising awareness of ESG issues, and increasing foreign investment in sustainable ventures. Latin America and the Middle East & Africa are also showing promising growth trajectories, supported by evolving regulatory frameworks and the globalization of ESG standards. The diverse pace of adoption across regions underscores the need for flexible, scalable, and multilingual ESG reporting solutions that can cater to varying regulatory and business environments worldwide.

ESG Reporting Software Market to grow from USD 2.1 Bn in 2025 to USD 4.3 Bn by 2035, registering a 19.5% CAGR amid rising focus on sustainability and compliance.

This dataset is used in Master thesis on topic "The impact of upholding environmental, social and governance principles on the market value of capital-intensive companies". The full dataset consits data on Public american companies included in S&P 500 index, traded on the New York Stock Exchange. There are data on ESG-score and its components (E, S, G), as well as components of Envitonmental pillar score. Additionaly dataset includes financial data, like market capitalization, leverage, ROCE, Capex and etc. The main sources of data are Thomson Reuters Eikon and Bloomberg terminals, along with Form 10-k by SEC. The final sample consists of 52 capital-intensive companies, time horizon: 2012-2021 [520 observations in total].

Investor ESG Software Market Outlook

According to our latest research, the global Investor ESG Software market size reached USD 1.98 billion in 2024, reflecting robust adoption and integration across financial institutions worldwide. The market is expected to expand at a CAGR of 13.7% from 2025 to 2033, projecting a significant increase to USD 6.28 billion by 2033. This growth is primarily driven by the escalating demand for transparency in environmental, social, and governance (ESG) practices, as well as increased regulatory scrutiny and investor awareness on sustainability and ethical investing.

The primary growth factor for the Investor ESG Software market is the global shift towards sustainable finance and responsible investing. Investors, asset managers, and financial institutions are increasingly seeking tools to integrate ESG metrics into their investment decision-making processes. This shift is fueled by growing evidence that ESG-compliant portfolios often outperform traditional portfolios in terms of risk-adjusted returns, particularly during periods of market volatility. The proliferation of ESG reporting standards and frameworks, such as the Task Force on Climate-related Financial Disclosures (TCFD) and the Global Reporting Initiative (GRI), has further necessitated the adoption of sophisticated ESG software platforms. These platforms enable organizations to collect, analyze, and report ESG data efficiently, thus facilitating compliance and enhancing stakeholder trust.

Another significant driver is the evolving regulatory landscape across major economies. Governments and regulatory bodies in regions such as North America, Europe, and Asia Pacific are mandating stricter ESG disclosures and integrating sustainability considerations into financial regulations. For instance, the European Union’s Sustainable Finance Disclosure Regulation (SFDR) and the US Securities and Exchange Commission’s (SEC) proposed ESG disclosure requirements are compelling financial institutions to upgrade their ESG data management capabilities. As a result, the demand for advanced ESG software solutions that can automate compliance, streamline reporting, and ensure data accuracy has surged, propelling the market forward.

Technological advancements and the integration of artificial intelligence (AI) and machine learning (ML) within ESG software platforms are also catalyzing market expansion. These technologies enable real-time data aggregation, predictive analytics, and automated risk assessment, providing investors with actionable insights into ESG risks and opportunities. Furthermore, the increasing availability of cloud-based ESG software has democratized access for small and medium-sized enterprises (SMEs), allowing them to participate in sustainable investing initiatives. The growing emphasis on digital transformation within the financial services sector is expected to continue driving innovation and adoption in the Investor ESG Software market over the forecast period.

Regionally, North America and Europe dominate the Investor ESG Software market, accounting for a combined market share of over 65% in 2024. These regions benefit from mature financial markets, progressive regulatory frameworks, and high investor awareness regarding ESG issues. However, the Asia Pacific region is emerging as a significant growth engine, driven by rapid economic development, increasing foreign investments, and a growing focus on sustainable finance. Latin America and the Middle East & Africa are also witnessing steady growth, albeit from a smaller base, as local regulators and investors begin to prioritize ESG integration in investment strategies.

Component Analysis

The Investor ESG Software market is segmented by component into Software and Services, each playing a vital role in supporting ESG integration across the investment value chain. The software segment, which includes platforms for data management, analytics, and reporting,

Inrate conducts multi-dimensional screening for over 10,000+ companies, providing ESG data through controversies research, adverse product involvement, UNGC screening, and customized screening.

Our proprietary controversy screening tool utilizes over 200k multi-lingual global news sources to collect and analyze a company's negative impact through material ESG controversies. Our collection of ESG controversies is real-time, ensuring we capture all potential risks to your portfolio. Our adverse product screening includes evaluating involvement in common controversial products and sub-products (such as controversial weapons, tobacco production, nuclear energy etc.). To exclude companies from your portfolio, we provide customizable exclusion thresholds integrated into our ESG data product delivery.

Our UNGC Screening module enables evaluating a company's performance against the UNGC themes of anti-corruption, environment, labour and human rights. This research utilizes insights from a Inrate's ESG data products ratings including controversies research, product involvement and the comprehensiveness of a company's sustainability policies and management.

Additionally, to cater to varied client ESG priorities, we provide customized screening against criteria such as whaling, human embryonic stem cell research, Production of POPs (Persistent Organic Pollutants) as listed in the Stockholm Convention and more.

ESG DATA PRODUCT DESCRIPTION

Unique dataset tracking corporate climate commitments across 4,000+ global companies. Our data captures the full spectrum of climate pledges, from net-zero and carbon neutrality to carbon positivity claims, with comprehensive status tracking across all reporting periods. Through rigorous monitoring of commitment evolution, we enable precise assessment of corporate climate ambition and progress. Essential for stakeholders evaluating transition readiness, monitoring climate leadership, and assessing the credibility of corporate environmental commitments.

ESG DATA PRODUCT CHARACTERISTICS

• Company Coverage:              4,000+ companies • Geographical Coverage:       Global • Sectorial Coverage:                All sectors • Data Historical Range:           2010 - 2024 • Median Data History:             6 years • Data Traceability Rate:           100% • Data Frequency:                     Annual • Average Reporting Lag:         3 months • Data Format:                            Most Recent/Point-in-Time

UNIQUE DATA VALUE PROPOSITION

Uncompromised Standardization

Our team of environmental engineers meticulously maps climate commitment data according to standardized categories, distinguishing between three distinct levels of pledges. This guarantees uniformity and comparability across our dataset, bridging the gap created by the varied terminology and semantics companies use to describe their climate commitments.

Unbiased Data Integrity

Our approach is grounded in delivering climate commitment data exactly as claimed by companies, without making inferences or estimates for undisclosed data. This strict adherence to factual reporting ensures the integrity of the data you receive, providing an unaltered and accurate view of corporate climate commitments.

End-to-End Data Traceability

Every climate commitment is traceable to its original source with exact page references and documentation of calculation methodologies. This transparency enables confident verification of corporate climate commitments and progress claims.

Full-Scope Boundary Verification

We tag climate commitments that do not cover a company's entire organizational or operational boundaries with an 'Incomplete Boundaries' attribute. This attribute enhances transparency and ensures the comparability of our data by keeping you informed of any potential limitations.

USE CASES

Asset Management

Use climate commitment data primarily for portfolio management and strategic decision-making, including assessing companies' climate ambition, tracking pledge credibility, informing engagement strategies, screening for climate leaders, developing climate-focused investment products, and aligning portfolio strategies with net-zero goals.

Financial Institutions & Banking

Leverage commitment data to assess transition risks, develop sustainable finance products, provide climate advisory services, and inform lending decisions, focusing on evaluating borrower credibility, structuring sustainability-linked products, and aligning portfolios with net-zero pathways.

FinTech

Develop technological solutions utilizing climate commitment data, including analytics platforms, portfolio management tools, compliance solutions, and APIs, enabling automated tracking, validation, and monitoring of corporate climate pledges while supporting regulatory compliance needs.

GreenTech & ClimateTech

Utilize commitment data to assess solution impact, identify market opportunities, develop value chain solutions, and support implementation, helping clients achieve their climate commitments through technological interventions and practical implementation support.

Corporates

Employ commitment data for strategic planning and implementation, including benchmarking against peers, analyzing competition, engaging with suppliers, and communicating with stakeholders about climate ambitions and progress.

Professional Services & Consulting

Use commitment data to provide advisory services, including developing sector-specific transition strategies, supporting net-zero implementation, guiding climate strategy development, engaging supply chains, and monitoring progress against commitments.

Research & Academia

Analyze commitment data to study trends in corporate climate action, research factors affecting achievement success, assess policy impacts, and understand the economic implications of climate commitments and their achievement.

Data used in paper

AI-Driven ESG Reporting Market Outlook

As per our latest research, the AI-Driven ESG Reporting market size reached USD 1.8 billion globally in 2024, reflecting a robust momentum in the adoption of advanced technologies for environmental, social, and governance (ESG) compliance and transparency. The market is expanding at a significant CAGR of 19.4% and is expected to attain USD 8.8 billion by 2033. This growth is primarily attributed to the surge in regulatory requirements, mounting stakeholder pressure for sustainable practices, and the increasing complexity of ESG data management across industries.

The growth trajectory of the AI-Driven ESG Reporting market is strongly influenced by the evolving landscape of global sustainability regulations. Governments and regulatory bodies around the world are mandating stricter ESG disclosures, compelling organizations to adopt sophisticated reporting mechanisms. AI-powered solutions are uniquely positioned to address these regulatory demands by automating data collection, validation, and analysis processes. This not only reduces the risk of non-compliance but also enables organizations to deliver more accurate and timely ESG reports. Furthermore, the ability of AI to adapt to changing compliance frameworks ensures that companies remain agile and responsive to new regulatory developments, thus driving steady market expansion.

Another key growth factor is the increasing awareness among investors and stakeholders regarding the long-term value of sustainable business practices. Institutional investors, asset managers, and even retail investors are now integrating ESG criteria into their decision-making processes, fueling the demand for transparent and reliable ESG reporting. AI-driven platforms facilitate this shift by providing advanced analytics, predictive insights, and real-time monitoring of ESG metrics. These capabilities empower organizations to not only meet stakeholder expectations but also to proactively identify potential risks and opportunities associated with sustainability performance. As a result, companies leveraging AI for ESG reporting are gaining a competitive edge in attracting investment and enhancing their corporate reputation.

The exponential growth in data volumes and the complexity of ESG metrics have also catalyzed the adoption of AI-driven solutions. Traditional manual methods are increasingly inadequate for managing the vast and diverse data sets required for comprehensive ESG reporting. AI technologies, including machine learning and natural language processing, streamline data aggregation from multiple sources, ensure data integrity, and generate actionable insights. This technological advancement is particularly crucial for multinational organizations operating across varied regulatory environments and industry standards. The scalability and efficiency offered by AI-driven ESG reporting platforms are thus pivotal in supporting organizations' sustainability journeys and driving market growth.

From a regional perspective, North America currently leads the AI-Driven ESG Reporting market, accounting for over 38% of the global market share in 2024. This dominance is underpinned by the region's advanced technological infrastructure, proactive regulatory environment, and the presence of major market players. Europe closely follows, propelled by the European Union's stringent sustainability directives and growing corporate commitment to ESG transparency. Meanwhile, the Asia Pacific region is emerging as the fastest-growing market, driven by rapid digitalization, increasing ESG awareness, and government initiatives promoting sustainable development. Latin America and the Middle East & Africa are also witnessing gradual adoption, particularly among large enterprises seeking to align with global sustainability standards.

Component Analysis

The AI-Driven ESG Reporting market by component is segmented into software and services, each

This dataset is a collection of data and code used in the article AI-Boosted ESG: Transforming Enterprise ESG Performance Through Artificial Intelligence. The hypotheses of this paper include: 1. AI can promote ESG performance; 2.AI can improve ESG performance by improving green technology innovation, labor employment quality and analyst attention, as well as reducing management expense rate; 3. The enhancement effect of AI on ESG performance is more obvious in large-scale enterprises, manufacturing enterprises and enterprises in the eastern region. This dataset includes the three relevant tests above, as well as the relevant procedure codes for several robustness tests, including changing the AI word frequency statistics, using the multi-time-point difference-in-differences model, changing the model type to Tobit model, lagging one stage, and shortening the sample period. The data provided is collated to a certain extent. If you need specific original data or some other related material, you can contact corresponding author Jiayi Yu to ask for it at yu_jiayi20@126.com.