Artificial Intelligence (AI)-Driven Supplier Emissions Benchmark Market Report 2026

The artificial intelligence (AI)-driven supplier emissions benchmark market size has grown exponentially in recent years. It will grow from $1.56 billion in 2025 to $1.9 billion in 2026 at a compound annual growth rate (CAGR) of 21.8%. The growth in the historic period can be attributed to increasing corporate sustainability reporting requirements, early adoption of carbon accounting platforms, rising focus on supply chain transparency, expansion of ESG compliance initiatives, growing availability of supplier emissions data.

The artificial intelligence (AI)-driven supplier emissions benchmark market size is expected to see exponential growth in the next few years. It will grow to $4.14 billion in 2030 at a compound annual growth rate (CAGR) of 21.5%. The growth in the forecast period can be attributed to increasing regulatory pressure on scope 3 disclosures, rising adoption of ai-driven sustainability platforms, growing demand for automated supplier risk scoring, expansion of net-zero supply chain initiatives, increasing integration of sustainability analytics with procurement systems. Major trends in the forecast period include increasing adoption of ai-based supplier emissions analytics, rising demand for real-time carbon benchmarking tools, growing integration of predictive sustainability insights, expansion of automated supplier risk assessment platforms, enhanced focus on scope 3 emissions transparency.

The accelerated digitization is expected to drive the growth of the artificial intelligence (AI)-driven supplier emissions benchmark market in the coming years. Digitization involves the adoption of digital technologies across all aspects of a business to enhance operations, improve customer value, and respond to changing market dynamics. The adoption of digital solutions is rising as organizations aim to boost efficiency and maintain competitiveness, using technology to streamline workflows, cut costs, and provide faster, more customized services that meet evolving customer demands. As digitization progresses, companies generate increasingly large and complex supplier datasets, making AI-driven emissions benchmarking critical for automating data processing, accurately analyzing extensive data, and providing actionable insights more efficiently than manual approaches. For example, in January 2025, according to the UK Government’s State of Digital Government Review, a UK-based government agency, public-sector digital and data expenditure reached $34.9 billion in 2023, indicating a substantial increase in national investment in digital transformation initiatives. Consequently, the rapid digitization is fueling the growth of the artificial intelligence (AI)-driven supplier emissions benchmark market.

Companies operating in this market are introducing advanced technologies such as natural language processing (NLP)-powered emission factor matching to simplify and automate the calculation of Scope 3.1 emissions from unstructured supply chain data. This approach uses AI-driven language models to interpret supplier or procurement data and align it with the most relevant emission factors for sustainability reporting. For example, in May 2025, Climatiq Technologies GmbH, a Germany-based technology firm, launched Climatiq Autopilot, an AI-powered feature designed to automate Scope 3.1 emission calculations. The tool leverages NLP to map unstructured text data to the appropriate emission factors and integrates with enterprise systems via API, providing real-time, audit-ready carbon insights. It also ensures compliance with global standards such as the GHG Protocol and ISO 14067, helping businesses make data-driven decisions to reduce carbon emissions throughout their supply chains.

In July 2025, Green Project Technologies Inc., a US-based carbon accounting software provider, acquired Emitwise for an undisclosed amount. The acquisition is intended to merge Emitwise’s capabilities in automated supply chain emissions tracking and product carbon footprint measurement with Green Project Technologies’ audit-grade accounting platform and ACT Group’s global decarbonization tools. This combination positions the company as a comprehensive provider of enterprise climate management solutions across supply chains. Emitwise Ltd., based in the UK, is known for its expertise in AI-driven supplier emissions benchmarking.

Major companies operating in the artificial intelligence (AI)-driven supplier emissions benchmark market are Microsoft Corporation, Siemens AG, International Business Machines Corporation (IBM), Schneider Electric SE, EcoVadis SAS, Persefoni AI Inc., Pulsora Ltd., Unravel Carbon Pvt. Ltd., CarbonChain Ltd., Mavarick AI Ltd., SINAI Technologies Ltd., GLYNT AI Ltd., CO2 AI Ltd., CarbonAnalytics Ltd., DitchCarbon Ltd., Muir AI Ltd., Vaayu Technologies Pvt. Ltd., Climatiq Ltd., Net0 Ltd., and Footprint Intelligence Ltd.

North America was the largest region in the artificial intelligence (AI)-driven supplier emissions benchmark market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI)-driven supplier emissions benchmark market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the artificial intelligence (AI)-driven supplier emissions benchmark market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial intelligence (AI)-driven supplier emissions benchmark market consists of revenues earned by entities by providing services such as risk assessment, supplier performance evaluation, sustainability strategy development, predictive emissions modelling, and continuous monitoring. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI)-driven supplier emissions benchmark market also includes sales of IoT emission monitoring sensors, carbon footprint tracking devices, industrial process sensors, and smart energy meters. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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