<img src="https://ml.globenewswire.com/Resource/Download/908fb457-7f8e-4a08-9081-5565e3dfb3d7?size=2" nborder="0" align="left" hspace="5" vspace="5" title="22157.jpg" alt="Company Logo"/>AI-powered cloud carbon planning, advisory services and Asia-Pacific offer key opportunities. Regulation and board oversight drive demand, while Scope 3 data gaps remain a hurdle.Dublin, Aug. 31, 2026 <a href="https://www.globenewswire.com" target="_blank">(GLOBE NEWSWIRE)</a> -- The <a href="https://www.researchandmarkets.com/reports/6254446/predictive-carbon-forecasting-scenario-modeling?utm_source=GNE&amp;utm_medium=PressRelease&amp;utm_code=nr2s66&amp;utm_campaign=2341220+-+Predictive+Carbon+Forecasting+and+Scenario+Modeling+Software+Market+Report+2026-2031+-+Rising+Demand+for+Data-Driven+Carbon+Emissions+Management+Drives+Growth&amp;utm_exec=jocamsai" rel="nofollow" target="_blank" title="Predictive Carbon Forecasting and Scenario Modeling Software - Market Share Analysis, Industry Trends &amp; Statistics, Growth Forecasts (2026-2031)">"Predictive Carbon Forecasting and Scenario Modeling Software - Market Share Analysis, Industry Trends &amp; Statistics, Growth Forecasts (2026-2031)"</a> has been added to ResearchAndMarkets.com's offering. The global predictive carbon forecasting and scenario modeling software market is projected to grow from USD 1.38 billion in 2025 and USD 1.59 billion in 2026 to USD 3.66 billion by 2031. The market is expected to register a compound annual growth rate of 18.09% from 2026 to 2031, driven by climate disclosure requirements, corporate net-zero planning, artificial intelligence adoption and growing demand for forward-looking emissions analysis. Organizations are increasingly moving beyond annual carbon reporting and adopting predictive carbon forecasting software to evaluate transition risks, model emissions pathways and support financial and operational decisions. These platforms help enterprises manage evolving climate assumptions, compare decarbonization strategies and strengthen the governance of sustainability data across business units. Climate Disclosure and Net-Zero Planning Support Market Growth Regulatory pressure remains a major catalyst for the predictive carbon forecasting and scenario modeling software market. Climate disclosure frameworks increasingly require companies to organize emissions data for planning, verification and scenario analysis rather than relying solely on retrospective reporting. The IFRS Foundation updated greenhouse gas disclosure requirements under IFRS S2 in December 2025 to reduce implementation complexity while retaining decision-useful reporting. Although the United States introduced policy uncertainty when the Securities and Exchange Commission proposed rescinding its climate disclosure rules in May 2026, multinational organizations continue to face multiple reporting regimes and sustained investor expectations. As a result, climate scenario analysis is becoming part of financial governance, enterprise risk management and long-term strategic planning. Demand is particularly strong for platforms that function as integrated planning infrastructure instead of basic compliance tools. Regulatory revisions or delays may affect implementation timelines, but they are unlikely to eliminate the broader need for auditable, decision-ready carbon intelligence. Artificial Intelligence Accelerates Emissions Forecasting Artificial intelligence is changing how enterprises use carbon management platforms. Buyers increasingly expect automated data preparation, rapid simulations and interactive analysis within a unified workflow. AI-enabled systems can help organizations evaluate abatement options, assess transaction-level emissions and update forecasts as business conditions change. In May 2026, SAP reported that its Footprint Optimization Agent reduced scenario simulation time from approximately one day to 20 minutes. Separately, a peer-reviewed study published in April 2026 found that coordinated deep-learning architectures outperformed traditional baseline methods when predicting emissions in energy-intensive industries. These developments indicate that competition will increasingly center on forecasting accuracy, modeling depth, processing speed and operational usability. Vendors capable of embedding AI into core modeling workflows are positioned to benefit as enterprises shift from static sustainability reporting toward continuous emissions forecasting and decarbonization pathway optimization. Supplier Data Quality Remains a Key Constraint Limited access to reliable supplier and Scope 3 emissions data continues to restrict market development. An April 2025 survey found that 79% of organizations identified supplier data availability as their leading challenge, while 62% cited internal data quality as a significant barrier. Other research indicates that Scope 3 emissions can represent more than 75% of an organization's total carbon footprint. Incomplete or inconsistent information can reduce confidence in forecasting outputs, particularly when results are reviewed by investors, auditors, procurement teams or regulators. Companies can use spend-based estimates and proxy data, but these approaches may not provide the precision required for high-stakes capital allocation and transition planning. Wider supplier participation, improved data standardization and stronger integration with enterprise systems will be essential to support more credible predictive models. Additional factors influencing market expansion include rising demand for forward-looking carbon scenario planning, growth in ESG-linked capital allocation and increased board-level oversight of climate strategy. Integration complexity involving enterprise resource planning, environmental health and safety systems, and corporate data lakes remains an implementation challenge. Software Leads Revenue as Services Record Faster Growth Software represented 76.12% of market revenue in 2025, reflecting enterprise preference for platforms that can be used repeatedly across reporting, planning and risk-review cycles. Subscription-based software enables organizations to update assumptions, maintain audit trails and extend carbon analysis across multiple departments. Recurring revenue also allows providers to invest in AI capabilities, modeling functionality and workflow improvements. Services are forecast to grow at a faster CAGR of 21.54% through 2031. Organizations continue to require assistance with implementation, scenario design, abatement pathway development and interpretation of results. This trend reflects the growing complexity of carbon planning rather than weak software adoption, with services increasingly operating as a complementary layer around core platforms. Cloud-Based Platforms Dominate Deployment Cloud-based deployment accounted for 65.13% of revenue in 2025 and is projected to expand at a CAGR of 20.92% through 2031. Cloud platforms allow businesses to centralize emissions information, manage scenario libraries and provide access across global operations. They also support continuous data ingestion, scalable computing and faster updates when disclosure requirements or modeling assumptions change. On-premises systems remain relevant for organizations with strict security and control requirements, while hybrid environments support data residency and contractual needs. Nevertheless, new deployments continue to favor cloud-based carbon forecasting software because of faster onboarding, shared access and lower infrastructure friction. North America Holds the Largest Market Share North America generated 35.12% of global revenue in 2025, supported by a large concentration of publicly listed companies, mature enterprise software procurement and strong investor focus on climate governance. The United States remains the region's primary demand center, as many large organizations already have disclosure processes and internal controls that can be extended to carbon planning and scenario modeling. Asia-Pacific is expected to be the fastest-growing region, recording a projected CAGR of 22.91% through 2031. Growth is supported by expanding climate disclosure requirements, decarbonization investment and the need for supplier-level carbon visibility across export-oriented manufacturing networks. In April 2026, the Chinese Academy of Sciences released the Panshi Yuheng carbon accounting large model v1.0, highlighting the development of domestic carbon modeling capabilities. Europe remains an important market because climate governance is embedded in many corporate reporting, risk management and strategic planning processes. South America, the Middle East and Africa are at earlier stages of adoption, but demand is emerging among financial institutions, export-focused industries, state energy companies, sovereign investors and listed enterprises developing formal transition strategies. Across global markets, adoption will be strongest where organizations connect climate compliance with measurable planning, risk management and operational value. As regulatory expectations, AI capabilities and corporate decarbonization commitments evolve, predictive carbon forecasting and scenario modeling software is positioned to become an increasingly important component of enterprise decision-making. Key Topics Covered 1 INTRODUCTION 1.1 Study Assumptions and Market Definition 1.2 Scope of the Study 2 RESEARCH METHODOLOGY 3 EXECUTIVE SUMMARY 4 MARKET LANDSCAPE 4.1 Market Overview 4.2 Market Drivers 4.2.1 Regulatory Pressure on Climate Disclosures and Net-Zero Planning 4.2.2 Rising Enterprise Demand for Forward-Looking Carbon Scenario Planning 4.2.3 Expansion of ESG-Linked Capital Allocation and Board-Level Climate Governance 4.2.4 Growing Adoption of Cloud-Based Sustainability Platforms in Large Enterprises 4.2.5 Integration of AI for Emissions Forecasting and Abatement Pathway Optimization 4.2.6 Need to Quantify Transition Risk Across Supplier, Asset, and Portfolio Decisions 4.3 Market Restraints 4.3.1 Limited Quality and Availability of Scope 3 and Supplier Activity Data 4.3.2 High Integration Complexity With ERP, EHS, and Data-Lake Environments 4.3.3 Budget Scrutiny and Slow ROI Realization for Mid-Market Buyers 4.3.4 Model Credibility Concerns From Assumption Sensitivity and Audit Scrutiny 4.4 Impact of Macroeconomic Factors on the Market 4.5 Industry Value Chain Analysis 4.6 Technological Outlook 4.7 Porter's Five Forces Analysis 4.7.1 Threat of New Entrants 4.7.2 Bargaining Power of Buyers 4.7.3 Bargaining Power of Suppliers 4.7.4 Threat of Substitutes 4.7.5 Intensity of Competitive Rivalry 5 MARKET SIZE AND GROWTH FORECASTS (VALUE) 5.1 By offering 5.1.1 Software 5.1.2 Services 5.2 By Deployment Mode 5.2.1 Cloud-Based 5.2.2 On-Premise 5.2.3 Hybrid 5.3 By Application 5.3.1 Emissions Forecasting 5.3.2 Climate Scenario and Pathway Modeling 5.3.3 Climate and Transition Risk Assessment 5.3.4 Decarbonization Planning and Abatement Optimization 5.4 By Enterprise Size 5.4.1 Large Enterprises 5.4.2 Small and Medium Enterprises 5.5 By End User Industry 5.5.1 BFSI 5.5.2 Energy and Utilities 5.5.3 Oil and Gas 5.5.4 Manufacturing and Industrial 5.5.5 Transportation and Logistics 5.5.6 Technology and Telecommunications 5.5.7 Retail and Consumer Goods 5.5.8 Other Industries 5.6 By Geography 5.6.1 North America 5.6.1.1 United States 5.6.1.2 Canada 5.6.1.3 Mexico 5.6.2 South America 5.6.2.1 Brazil 5.6.2.2 Argentina 5.6.2.3 Rest of South America 5.6.3 Europe 5.6.3.1 Germany 5.6.3.2 United Kingdom 5.6.3.3 France 5.6.3.4 Italy 5.6.3.5 Spain 5.6.3.6 Russia 5.6.3.7 Rest of Europe 5.6.4 Asia-Pacific 5.6.4.1 China 5.6.4.2 India 5.6.4.3 Japan 5.6.4.4 South Korea 5.6.4.5 Australia 5.6.4.6 Rest of Asia-Pacific 5.6.5 Middle East and Africa 5.6.5.1 Middle East 5.6.5.1.1 Saudi Arabia 5.6.5.1.2 United Arab Emirates 5.6.5.1.3 Rest of Middle East 5.6.5.2 Africa 5.6.5.2.1 South Africa 5.6.5.2.2 Nigeria 5.6.5.2.3 Rest of Africa 6 COMPETITIVE LANDSCAPE 6.1 Market Concentration 6.2 Strategic Moves 6.3 Market Share Analysis 6.4 Company Profiles (includes Global Level Overview, Market Level Overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share, Products and Services, Recent Developments) 6.4.1 Microsoft Corporation 6.4.2 Salesforce, Inc. 6.4.3 SAP SE 6.4.4 IBM Corporation 6.4.5 Oracle Corporation 6.4.6 Persefoni AI, Inc. 6.4.7 Watershed Technology, Inc. 6.4.8 Sweep SAS 6.4.9 Plan A Earth GmbH 6.4.10 Greenly SAS 6.4.11 Normative AB 6.4.12 Sinai Technologies, Inc. 6.4.13 Emitwise Ltd. 6.4.14 Position Green AB 6.4.15 Gaia Carbon Accounting Ltd. 6.4.16 Sphera Solutions, Inc. 6.4.17 Enablon North America Corp. 6.4.18 Evercomm Singapore Pte. Ltd. 6.4.19 Workiva Inc. 6.4.20 Terrascope Pte. Ltd. 6.4.21 VelocityEHS Holdings, Inc. 6.4.22 ClimateView AB 6.4.23 Intelex Technologies ULC 6.4.24 CarbonChain Ltd. 6.4.25 Accacia AI Solutions Pvt. Ltd. 7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK 7.1 White-Space and Unmet-Need Assessment For more information about this report visit <a href="https://www.researchandmarkets.com/reports/6254446/predictive-carbon-forecasting-scenario-modeling?utm_source=GNE&amp;utm_medium=PressRelease&amp;utm_code=nr2s66&amp;utm_campaign=2341220+-+Predictive+Carbon+Forecasting+and+Scenario+Modeling+Software+Market+Report+2026-2031+-+Rising+Demand+for+Data-Driven+Carbon+Emissions+Management+Drives+Growth&amp;utm_exec=jocamsai" rel="nofollow" target="_blank" title="">https://www.researchandmarkets.com/r/k1bqz0</a> About ResearchAndMarkets.com ResearchAndMarkets.com is the world's leading source for international market research reports and market data. 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Predictive Carbon Forecasting and Scenario Modeling Software Market Report 2026-2031 - Rising Demand for Data-Driven Carbon Emissions Management Drives Growth

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