This topic examines the growing market for AI-enabled sustainability and carbon‑analytics platforms, contrasting large vendors (IBM, Amazon, Nokia) with specialist players focused on Scope 3, logistics and compute efficiency. Demand for accurate, auditable carbon data has risen as regulators, investors and customers expect standardized disclosures and operational decarbonisation. That drives two converging trends: platformization of carbon accounting and hardware/software optimizations to shrink AI’s energy footprint. Enterprise platforms (e.g., Mavarick AI) automate Scope 1–3 measurement, supplier data collection, validation and reporting to accelerate supply‑chain decarbonisation. Commerce and operations intelligence tools (Dema.ai) and trade‑automation services (iCustoms) supply unified transport, inventory and customs data that feed carbon models and enable product‑level emissions attribution. Autonomous logistics solutions (Gatik) and network vendors (Nokia) affect real‑world operational emissions through route optimization and energy‑efficient infrastructure. At the infrastructure and model level, specialist vendors such as Rebellions.ai develop inference accelerators and energy‑aware stacks to reduce compute-related emissions for large language models and multimodal workloads. For buyers and analysts, the choice spans full-featured carbon‑accounting suites from major cloud and telecom vendors to best‑of‑breed tools that pair supply‑chain visibility with hardware efficiency. Competitive‑intelligence use cases increasingly layer carbon metrics onto market benchmarking and procurement decisions. As of late 2025, organizations prioritise platforms that combine automated Scope‑3 workflows, verifiable reporting, integration with commerce and customs data, and compute‑level efficiency to meet disclosure requirements and real operational decarbonisation goals.