![]() |
市場調查報告書
商品編碼
2149609
2034年農業碳計量市場預測:按會計方法、碳源、會計組成部分、資料來源、最終用戶和區域分類的全球分析Agricultural Carbon Accounting Market Forecasts to 2034 - Global Analysis By Accounting Method, Carbon Source, Accounting Component, Data Source, End User, and Geography |
||||||
根據 Stratistics MRC 的數據,預計到 2026 年,全球農業碳計量市場規模將達到 6 億美元,並在預測期內以 21.2% 的複合年成長率成長,到 2034 年將達到 28 億美元。
農業碳計量是指用於量化與農業活動相關的溫室氣體排放和碳固存的調查方法、軟體、測量系統和數據平台。這些系統評估化學肥料使用、牲畜養殖、能源消耗、土壤管理、灌溉、運輸和其他農業活動產生的排放,同時還包括儲存在土壤、植被和其他農業系統中的碳。農民、食品公司、合作社和永續發展組織利用碳計量來建立基準、監測排放、評估減排策略並支持永續發展報告。數據可以從農場記錄、感測器、衛星圖像、土壤測量和基於活動的模型中收集。對可衡量的農業氣候績效日益成長的需求正在推動這種方法的應用。隨著農業碳核算與排碳權計畫和再生農業計劃的整合日益加深,農場層面的精確計算的重要性也日益凸顯。遙感探測和自動化數據採集技術的進步正在提高測量效率。
市場動態
測量和報告碳足跡的需求日益成長
企業對淨零排放的承諾日益增強,消費者對永續產品的需求不斷成長,推動了農業領域碳核算的必要性,從而能夠對整個供應鏈的排放量進行計量和報告。食品公司要求供應商量化並減少其碳足跡。各司法管轄區對排放報告的監管要求也不斷擴大。不斷成長的碳市場為準確的碳核算創造了經濟獎勵。金融機構在貸款和投資決策中也越來越重視碳績效。
調查方法的複雜性以及與數據相關的挑戰。
農業碳核算調查方法的複雜性和缺乏標準化為市場發展帶來了重大挑戰。數據可用性和品質問題,尤其是在開發中地區的小規模農戶中,阻礙了準確計算。不同地區和生產系統排放因子的差異也造成了不確定性。資料收集和分析的高昂成本限制了碳核算方法的應用,特別是對於小規模經營者而言。農業碳核算專業知識的匱乏也阻礙了有效實施。
遙感探測與人工智慧的融合
遙感探測與人工智慧的融合為農業碳計量帶來了巨大的發展機會。衛星影像能夠以經濟高效的方式監測大範圍區域的土地利用和管理實踐。人工智慧演算法提高了碳蘊藏量和排放估算的準確性。價格適中的感測器日益普及,使得農場層級的數據收整合為可能。與農場管理軟體的整合實現了數據收集和報告的自動化。建模技術的進步進一步提高了碳計量估算的準確性。
監管方面的不確定性和檢驗的挑戰
碳計量調查方法和檢驗標準的監管不確定性可能會影響市場發展。農業領域碳抵消相關的檢驗挑戰可能會削弱人們對碳市場的信心。經濟壓力可能會影響對碳計量技術的投資。消費者對碳排放聲明的懷疑可能會影響技術的採用。碳市場和調查方法的快速發展正在造成不確定性。
新冠感染疾病加速了企業邁向永續性和氣候變遷減緩方向的步伐,推動了農業領域對碳計量解決方案的需求。人們對食品系統環境影響的認知不斷提高,也促進了市場擴張。疫情後,對碳排放測量和報告能力的投資持續成長。對供應鏈永續性的日益關注也持續推動碳會計解決方案的應用。疫情期間日益重要的遙感探測和數位化工具,如今仍是實現經濟高效的碳計量的關鍵。
在預測期內,基於活動的計算細分市場預計將佔據最大的市場佔有率。
預計在預測期內,基於活動的碳排放計算方法將佔據最大的市場佔有率。這是因為基於活動的碳排放計算方法是農業領域碳排放計算中最成熟、應用最廣泛的方法。燃料消耗量、化肥施用量和牲畜數量等活動數據相對容易收集,並為排放量估算提供了切實可行的依據。農場管理軟體的日益普及使得活動數據的自動化收整合為可能。成熟的調查方法和排放因子也鞏固了該領域的領先地位。基於活動的碳排放計算方法是更高級碳排放計算方法的基礎。
預計在預測期內,遙感探測領域將呈現最高的複合年成長率。
在預測期內,遙感探測領域預計將呈現最高的成長率,這主要得益於衛星影像可用性的提升和分析能力的進步。遙感探測能夠以經濟高效的方式監測大範圍區域的土地利用、管理措施和碳蘊藏量。高解析度影像的普及和先進分析技術的進步提高了測量精度。與基於過程的模型結合,可以實現大規模、全面的碳計量。遙感探測對於在小規模農場和廣闊的農業全部區域推廣碳計量至關重要。
在預測期內,北美預計將佔據最大的市場佔有率,這主要得益於先進農業技術的應用、健全的排放報告法規結構以及碳計量解決方案供應商的存在。美國擁有眾多領先的碳計量公司,這些公司在食品和農業領域擁有穩固的基本客群。各公司對永續性的高度重視以及對碳市場發展的推動,鞏固了其在該地區的市場領導地位。供應鏈對排放數據日益成長的需求,也正在推動全部區域的碳核算應用。
在預測期內,歐洲地區預計將呈現最高的複合年成長率,這主要得益於嚴格的排放報告監管要求、積極的企業永續發展舉措以及消費者意識的不斷提高。歐盟支持氣候智慧型農業的政策正在加速碳核算解決方案的普及。大量的研究經費和企業投資正在推動技術發展。根深蒂固的永續發展文化正在促進全部區域的應用。碳邊境調節機制進一步凸顯了精確計算排放量的必要性。
According to Stratistics MRC, the Global Agricultural Carbon Accounting Market is accounted for $0.6 billion in 2026 and is expected to reach $2.8 billion by 2034 growing at a CAGR of 21.2% during the forecast period. Agricultural Carbon Accounting encompasses methodologies, software, measurement systems, and data platforms used to quantify greenhouse gas emissions and carbon sequestration associated with agricultural activities. These systems evaluate emissions from fertilizer use, livestock, energy consumption, soil management, irrigation, transportation, and other farm operations while also accounting for carbon stored in soils, vegetation, and other agricultural systems. Farmers, food companies, cooperatives, and sustainability organizations use carbon accounting to establish baselines, monitor emissions, assess reduction strategies, and support sustainability reporting. Data can be collected from farm records, sensors, satellite imagery, soil measurements, and activity-based models. Growing demand for measurable agricultural climate performance is driving adoption. Integration with carbon-credit programs and regenerative agriculture initiatives is increasing the importance of accurate farm-level accounting. Advances in remote sensing and automated data collection are improving measurement efficiency.
Market Dynamics
Growing demand for carbon footprint measurement and reporting
Increasing corporate commitments to net-zero emissions and growing consumer demand for sustainable products are driving demand for agricultural carbon accounting that enables measurement and reporting of supply chain emissions. Food companies are requiring suppliers to quantify and reduce carbon footprints. Regulatory requirements for emissions reporting are expanding across jurisdictions. Growing carbon markets create economic incentives for accurate carbon accounting. Financial institutions are increasingly considering carbon performance in lending and investment decisions.
Methodological complexity and data challenges
Methodological complexity and lack of standardization in agricultural carbon accounting present significant challenges for market development. Data availability and quality issues, particularly for smallholder farms in developing regions, constrain accurate accounting. Variability in emission factors across different regions and production systems introduces uncertainty. High costs of data collection and analysis may limit adoption, especially for smaller operations. Limited expertise in agricultural carbon accounting constrains effective implementation.
Integration of remote sensing and AI
Integration of remote sensing and artificial intelligence presents significant growth opportunities for agricultural carbon accounting. Satellite imagery enables cost-effective monitoring of land use and management practices across large areas. AI algorithms improve the accuracy of carbon stock and emission estimates. Growing availability of affordable sensors enables collection of farm-level data. Integration with farm management software enables automated data collection and reporting. Advances in modeling improve the accuracy of carbon accounting estimates.
Regulatory uncertainty and verification challenges
Regulatory uncertainty regarding carbon accounting methodologies and verification standards may affect market development. Verification challenges associated with agricultural carbon offsets may limit confidence in carbon markets. Economic pressures may affect investment in carbon accounting technologies. Consumer skepticism regarding carbon claims may affect adoption. Rapid evolution of carbon markets and methodologies creates uncertainty.
The COVID-19 pandemic accelerated corporate commitments to sustainability and climate action, driving demand for agricultural carbon accounting solutions. Growing awareness of the environmental impact of food systems supports market expansion. The post-pandemic period has witnessed increased investment in carbon measurement and reporting capabilities. Growing focus on supply chain sustainability continues driving adoption. Remote sensing and digital tools gained importance during the pandemic and continue to enable cost-effective carbon accounting.
The activity-based accounting segment is expected to be the largest during the forecast period
The activity-based accounting segment is expected to account for the largest market share during the forecast period as activity-based methods are the most established and widely used approach for agricultural carbon accounting. Activity data including fuel use, fertilizer application, and livestock numbers are relatively easy to collect and provide a practical basis for emission estimation. Growing adoption of farm management software enables automated collection of activity data. Established methodologies and emission factors support segment leadership. Activity-based accounting is the foundation for more advanced carbon accounting approaches.
The remote sensing segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the remote sensing segment is predicted to witness the highest growth rate driven by increasing availability of satellite imagery and advances in analytical capabilities. Remote sensing enables cost-effective monitoring of land use, management practices, and carbon stocks across large areas. Growing availability of high-resolution imagery and advanced analytics improves measurement accuracy. Integration with process-based models enables comprehensive carbon accounting at scale. Remote sensing is essential for scaling carbon accounting across smallholder farms and large agricultural regions.
During the forecast period, the North America region is expected to hold the largest market share owing to advanced agricultural technology adoption, strong regulatory framework for emissions reporting, and presence of carbon accounting solution providers. The United States hosts major carbon accounting companies with established customer bases across food and agriculture sectors. High corporate sustainability commitments and carbon market development reinforce regional market leadership. Growing demand for supply chain emissions data drives adoption across the region.
Over the forecast period, the Europe region is anticipated to exhibit the highest CAGR driven by strong regulatory requirements for emissions reporting, aggressive corporate sustainability commitments, and growing consumer awareness. European Union policies supporting climate-smart agriculture drive adoption of carbon accounting solutions. Significant research funding and corporate investment support technology development. Strong sustainability culture drives adoption across the region. Carbon border adjustment mechanisms reinforce the need for accurate emissions accounting.
Key players in the market
Some of the key players in the Agricultural Carbon Accounting Market include Agreena ApS, Regrow Ag, Indigo Ag, Inc., Boomitra, Inc., Nori, Persefoni, Watershed Technology, Inc., Climate FieldView, Downforce Technologies, Agoro Carbon Alliance, Truterra, Soil Capital, Grassroots Carbon, Agrecalc, and Carbon Standards International AG.
In September 2026, Regrow Ag launched an enhanced agricultural carbon accounting platform featuring AI-powered remote sensing and process-based modeling for accurate measurement of soil carbon and emissions across diverse farming systems.
In May 2026, Agreena ApS expanded its carbon accounting and certification platform to include new methodologies for livestock emissions and agroforestry, enabling comprehensive farm-level carbon accounting.
In January 2026, Indigo Ag, Inc. introduced an integrated carbon accounting solution combining farm-level data collection with satellite monitoring for verification of carbon credits.
In August 2025, Boomitra, Inc. announced the launch of a remote sensing-based carbon accounting platform for smallholder farms, enabling cost-effective measurement across developing regions.
Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) are also represented in the same manner as above.