Signal Over 1,400 corporates had net-zero targets by mid-2025, and 65% are forecast to use agentic ESG software by 2030
Summary
NTT DATA cites data from the Science Based Targets initiative on corporate climate commitments. By the middle of 2025, more than 1,400 companies had set net-zero targets. They represent 38 percent of all corporates holding such targets. The report also forecasts that by 2030 more than 65 percent of global enterprises will use ESG software driven by agentic AI to support sustainable sourcing. It points to regulatory drivers, including CSRD, ISSB and the US Securities and Exchange Commission, as accelerating verifiable ESG data flows and traceability. Manufacturing, finance, retail, healthcare, logistics and energy are named as the sectors leading adoption.
Classification
Main topicClimate Change & Adaptation
Region menusGlobal
Occurrencescope:global
Impactscope:global
Time horizon4-10 years (2026-07-26)
Published2026-03
Last updated2026-09-30 12:56 KST
Evidence 4
- Technology Foresight 2026: Sustaining growth in the era of mass intelligence NTT DATA page=63;section=6 From illusory efficiency to sufficiency / Signals and ecosystem: Enterprise adoption signals 2026-03 accessed 2026-07-26
- Technology Foresight 2026: Sustaining growth in the era of mass intelligence NTT DATA page=63;section=6 From illusory efficiency to sufficiency / Signals and ecosystem: Enterprise adoption signals 2026-03 accessed 2026-07-26
- Technology Foresight 2026: Sustaining growth in the era of mass intelligence NTT DATA page=63;section=6 From illusory efficiency to sufficiency / Signals and ecosystem: Enterprise adoption signals 2026-03 accessed 2026-07-26
- Technology Foresight 2026: Sustaining growth in the era of mass intelligence NTT DATA page=63;section=6 From illusory efficiency to sufficiency / Signals and ecosystem: Enterprise adoption signals 2026-03 accessed 2026-07-26
Part of trends 1
Directly linked issues 1
- IssueSufficiency thresholds sit unreconciled beside the report's own compute expansion forecasts2 trends · 2 signals
Relation types: direct_urgent · supports
Public id: fm-840c6de7d7ee
