AI in ESG & Sustainability Market to Reach $846.75 Billion by 2032
The AI in ESG & Sustainability market is set to expand from $182.34 billion in 2024 to $846.75 billion by 2032, with a compound annual growth rate (CAGR) of 21.16%, announced in a press release by DataM Intelligence. This growth is largely driven by the integration of generative AI and increased regulatory requirements.
Generative AI, which accounted for over 41.8% of the technology market share in 2024, is a key player in this transformation. It is widely used for automated ESG content generation, synthetic data creation, and scenario simulation. Meanwhile, data collection and analysis, which captured more than 37.3% of the market, play a crucial role in managing fragmented ESG data and ensuring compliance-ready disclosures.
Various industries, including Energy & Utilities, Manufacturing, and Building & Construction, are actively adopting AI to enhance their ESG outcomes. The Building & Construction sector, in particular, led the market with over 31.7% share in 2024, reflecting its focus on sustainability through AI-powered lifecycle, energy, and materials optimization solutions.
In the United States, the market was valued at $48 billion in 2024, with expectations of a 26.7% CAGR, driven by regulatory pressures and sustainability strategies. This growth trajectory underscores the increasing reliance on AI for ESG initiatives across multiple sectors.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like AI Policy Brief or Daily AI Brief.
Also, consider following us on social media:
More from Regulation
Oct 16 HKMA Introduces ART Framework for AI Use in Banking Oct 15 UK Medicines Regulator Plans AI Safety Tools by 2030 Oct 15 OpenAI Agrees Not to Use Apple Trade Secrets During Lawsuit Oct 15 Financial Stability Board Publishes 12 AI Practices for Financial Firms Oct 15 Singapore Launches Three AI Safety InitiativesAI Policy Brief
Weekly report on AI regulations, safety standards, government policies, and compliance requirements worldwide.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
MarketsandMarkets Forecasts Edge AI Software Market at $120.31 Billion by 2032
BCG Finds Nearly Half of Companies Generate Value From AI
MarketsandMarkets Forecasts AI Cybersecurity Market at $95.25 Billion by 2031
Bain Says AI Needs $6 Trillion in Annual Revenue by 2031
AI Chip Market Forecast to Reach $677.59 Billion by 2035
Daily AI Brief: the AI news that matters, in your inbox.