United States AI in ESG & Sustainability Market Poised for Transformative Growth with Smart, Data-Driven Solutions 2025 | Top key players -

Market Size and Growth:

The Global AI in ESG & Sustainability Market size reached US$ 182.34 billion in 2024 and is expected to reach US$ 846.75 billion by 2032, growing with a CAGR of 21.16% during the forecast period 2025-2032.

The AI in ESG and Sustainability Market report by DataM Intelligence provides insights into the latest trends and developments in the market. This report identifies the key growth opportunities in the market and provides recommendations for market participants to capitalize on these opportunities. Overall, the AI in ESG and Sustainability market report is an essential resource for market participants who are looking to gain a comprehensive understanding of the market and identify opportunities for growth.

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The AI in ESG & Sustainability Market refers to the application of artificial intelligence technologies to enhance environmental, social, and governance practices. It enables organizations to track sustainability metrics, optimize resource use, reduce carbon footprints, ensure regulatory compliance, and support ethical decision-making. This market drives data-driven insights for responsible investing, transparent reporting, and long-term sustainable growth.

Recent Key Developments of United States (U.S):

Growth Driven by Generative AI: The market for AI in ESG and sustainability is experiencing a surge, with generative AI playing a significant role. Businesses are using it to create reports and predict regulatory outcomes through synthetic data. This is helping them manage environmental impacts and improve the efficiency of their ESG reporting.

Accelerated Regulatory Focus: The U.S. is experiencing a push for AI-powered ESG solutions due to rising regulatory mandates from bodies like the SEC and increasing pressure from institutional investors. California is also at the forefront with its own climate-related disclosure requirements, which is adding complexity to compliance efforts for companies operating in the state.

Data and Analytics as Core Pillars: AI-driven data analytics and machine learning are being used to analyze vast, fragmented datasets, including unstructured information like news feeds and community message boards. This allows companies to more accurately evaluate their own ESG performance and for financial firms to generate more reliable ESG scores and rankings.

Increased Integration into Business Strategy: ESG is no longer a peripheral concern but is being integrated into core business strategies, with AI-powered tools playing a central role. Companies are using AI for carbon accounting, biodiversity tracking, and labor auditing to streamline their sustainability efforts and make them more efficient.

Investor Caution and Trust: While AI is being widely adopted, there's also a rising need for trust and certification in AI systems, with investors applying a "trust premium" to companies with strong governance. The need for clear, verifiable, and non-hallucinatory AI output is becoming critical for investors to make informed decisions.

Key Players:

Salesforce
Microsoft
IBM
Google Cloud
SAP
Oracle
PwC
C3.ai
Honeywell

This Report Covers:

✔ Go-to-market Strategy.

✔ Neutral perspective on the market performance.

✔Development trends, competitive landscape analysis, supply side analysis, demand side analysis, year-on-year growth, competitive benchmarking, vendor identification, and other significant analysis, as well as development status.

✔Customized regional/country reports as per request and country level analysis.

✔ Potential & niche segments and regions exhibiting promising growth covered.

✔ Analysis of Market Size (historical and forecast), Total Addressable Market (TAM), Serviceable Available Market (SAM), Serviceable Obtainable Market (SOM), Market Growth, Technological Trends, Market Share, Market Dynamics, Competitive Landscape and Major Players (Innovators, Start-ups, Laggard, and Pioneer).

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Market Segmentation:

By Technology: Machine Learning (ML), Natural Language Processing (NLP), Deep Learning, Predictive Analytics, Generative AI, Others.

By Deployment: Cloud-based Solutions, On-premises Solutions.

By Organization Size: Small and Medium Enterprises (SMEs), Large Enterprises.

By End-User: Energy & Utilities, Manufacturing, Retail, Financial Services, Healthcare, Information Technology, Consumer Goods, Government & Public Sector, Others.

Regional Analysis:

⇥ North America (U.S., Canada, Mexico)

⇥ Europe (U.K., Italy, Germany, Russia, France, Spain, The Netherlands and Rest of Europe)

⇥ Asia-Pacific (India, Japan, China, South Korea, Australia, Indonesia Rest of Asia Pacific)

⇥ South America (Colombia, Brazil, Argentina, Rest of South America)

⇥ Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of Middle East & Africa)

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Chapter Outline

⏩ Market Overview: It contains five chapters, as well as information about the research scope, major manufacturers covered, market segments, AI in ESG and Sustainability market segments, study objectives, and years considered.

⏩ Market Landscape: The competition in the Global AI in ESG and Sustainability Market is evaluated here in terms of value, turnover, revenues, and market share by organization, as well as market rate, competitive landscape, and recent developments, transaction, growth, sale, and market shares of top companies.

⏩ Companies Profiles: The global AI in ESG and Sustainability market's leading players are studied based on sales, main products, gross profit margin, revenue, price, and growth production.

⏩ Market Outlook by Region: The report goes through gross margin, sales, income, supply, market share, CAGR, and market size by region in this segment. North America, Europe, Asia Pacific, Middle East & Africa, and South America are among the regions and countries studied in depth in this study.

⏩ Market Segments: It contains the deep research study which interprets how different end-user/application/type segments contribute to the AI in ESG and Sustainability Market.

⏩ Market Forecast: Production Side: In this part of the report, the authors have focused on production and production value forecast, key producers forecast, and production and production value forecast by type.

⏩ Research Findings: This section of the report showcases the findings and analysis of the report.

⏩ Conclusion: This portion of the report is the last section of the report where the conclusion of the research study is provided.

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People Also Ask:

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◆ Which region is expected to dominate the industry during the forecast period?

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