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農業遙感探測市場－全球及區域分析：按應用、產品及地區分類－分析與預測（2026-2035年）
市場調查報告書
商品編碼
2107279

農業遙感探測市場－全球及區域分析：按應用、產品及地區分類－分析與預測（2026-2035年）

Agricultural Remote Sensing Market - A Global and Regional Analysis: Focus on Application, Product, and Region - Analysis and Forecast, 2026-2035
出版日期: | 出版商: BIS Research | 英文 187 Pages | 商品交期: 1-5個工作天內

價格

產業與技術概覽

農業遙感探測是一種無需直接物理接觸即可觀測作物、土壤、水體、天氣和農田狀況的技術。它利用衛星、無人機、地面系統和飛機等平台來獲取光學、頻譜、高光譜遙測、熱成像、雷達和LiDAR資訊。這些資料集透過地理空間軟體進行處理，並擴大透過人工智慧和機器學習模型進行處理，從而實現作物脅迫識別、產量估算、土壤和水分波動測繪、灌溉最佳化、病蟲害檢測，並為保險和公共部門的監測提供支援。該技術堆疊正從週期性影像擷取發展到透過雲端平台、應用程式介面 (API)、儀表板和訂閱服務提供連續智慧資訊。頻譜光譜影像因其在成本、可用性、農業效用和可解釋性方面的實際平衡而仍然具有重要的商業性價值。合成孔徑雷達可在雲層覆蓋限制光學影像擷取的情況下提高連續性，而熱成像則有助於制定有關水分壓力和灌溉的決策。高光譜遙測系統能夠提供更詳細的頻譜信息，用於高級診斷，但它們仍然成本高昂且結構複雜。由於單一感測器無法應對所有農業挑戰，數據融合變得至關重要。

關鍵市場統計數據
預測期 2026-2035
2026 年評估 1,369,050,000 美元
2035 年預測 3,931,080,000 美元
複合年成長率 12.43%

2025 年全球農業遙感探測市場價值 12.116 億美元，預計從 2026 年到 2035 年將以 12.43% 的複合年成長率顯著成長，到 2035 年達到 39.3108 億美元。

這個市場位於航太、精密農業、地理空間分析、人工智慧和農業諮詢服務的交會點。其商業性價值不在於影像本身，而是將觀測結果轉化為農業、保險、金融、採購和行政工作流程中的具體行動。買家在雲端和互聯環境的限制下，會評估空間和時間解析度、精度、作物相關性、解讀、整合、每英畝成本、支援、資料所有權和可靠性等因素。

市場概覽

遙感探測使相關人員能夠比單純的實地調查更有效地監測廣闊分散的農地。它被用於最佳化大型農場和人工林的運營，用於政府的糧食安全和土地監測，用於保險公司的面積和損失評估，以及用於農產品的諮詢和供應預測。商業模式包括直接資料銷售、軟體訂閱、託管分析、基於面積的服務、專案合約、企業許可和嵌入式應用程式介面 (API)。最完善的服務整合了資料存取、分析、農藝解釋、整合和客戶支援。

對產業的影響

這項技術透過將監測方式從常規的田間觀察轉變為可重複的、基於證據的訊息，從而變革了農業決策。這減少了田間考察所需的工作量，提高了田間考察的優先順序，能夠及早識別作物脅迫，支持灌溉和施肥決策，縮短保險檢驗週期，並加強供應鏈和政府項目的規劃。當遙感探測結果與天氣、土壤、農場管理和財務數據相結合時，其對該行業的影響將最大化。這種整合為生產者、顧問、保險公司、貸款機構、農資供應商、食品公司和公共機構創造了一個通用的證據基礎。

目錄

第1章 市場：產業展望

  • 趨勢：對當前和未來影響的評估
    • 將人工智慧和機器學習與遙感探測分析結合
    • 擴大衛星監測在大規模農業情報的應用。
    • 向基於服務和訂閱的遙感探測模式過渡
  • 相關人員分析
    • 用例
    • 最終用戶和採購標準
  • 市場動態概述
    • 市場促進因素
    • 市場限制因素
    • 市場機遇
  • 研究與發展概述
    • 按國家和公司分類的專利申請趨勢
  • 監理情勢
  • 創業趨勢
  • 投資趨勢和研發趨勢
  • 未來展望與市場藍圖
  • 價值鏈分析
  • 該行業的吸引力

第2章 應用

  • 用途概述
  • 農業遙感探測市場（按應用領域分類）
    • 作物生長監測
    • 產量估計與預測
    • 土壤測繪和濕度監測
    • 灌溉管理
    • 病蟲害檢測
    • 營養管理
    • 田間測繪和邊界檢測
    • 監測天氣和氣候風險
    • 作物保險和損失評估
    • 其他

第3章 產品

  • 產品概述
  • 農業遙感探測市場（按解決方案分類）
    • 硬體
    • 軟體
    • 服務
  • 農業遙感探測市場（依技術分類）
    • 頻譜成像
    • 高光譜影像
    • 熱成像
    • 合成孔徑雷達
    • LiDAR
    • 其他
  • 農業遙感探測市場（依平台分類）
    • 基於衛星的遙感探測
    • 利用無人機遙感探測
    • 地面遙感探測
    • 利用載人飛機遙感探測

第4章 按地區分類

  • 區域概況
  • 北美洲
    • 區域概覽
      • 市場成長促進因素
      • 市場挑戰
    • 目的
    • 產品
    • 北美洲（按國家/地區分類）
      • 美國
      • 加拿大
      • 墨西哥
  • 歐洲
    • 區域概覽
      • 市場成長促進因素
      • 市場挑戰
    • 目的
    • 產品
    • 歐洲（按國家/地區分類）
      • 德國
      • 法國
      • 義大利
      • 西班牙
      • 英國
      • 其他歐洲國家
  • 亞太地區
    • 區域概覽
      • 市場成長促進因素
      • 市場挑戰
    • 目的
    • 產品
    • 亞太地區（按國家/地區分類）
      • 中國
      • 日本
      • 韓國
      • 印度
      • 澳洲
      • 亞太其他地區
  • 世界其他地區
    • 區域概覽
      • 市場成長促進因素
      • 市場挑戰
    • 目的
    • 產品
    • 世界其他地區（按地區分類）
      • 南美洲
      • 中東和非洲

第5章 市場－競爭標竿分析與公司概況

  • 區域評估
  • 公司簡介
    • Planet Labs PBC
    • Airbus SE
    • EarthDaily Analytics
    • EOS Data Analytics
    • Pixxel
    • DJI Agriculture
    • AgEagle Aerial Systems
    • Pix4D
    • Sentera
    • Taranis
    • Ceres AI
    • CropX Technologies
    • Syngenta Group
    • Xarvio（BASF SE）
    • Climate FieldView
  • 其他主要公司

第6章：調查方法

Product Code: AGA3698SA

This report can be delivered within 1 working day.

Industry and Technology Overview

Agricultural remote sensing observes crops, soil, water, weather, and field conditions without direct physical contact. Satellite, UAV, ground-based, and aircraft platforms capture optical, multispectral, hyperspectral, thermal, radar, and LiDAR information. These datasets are processed through geospatial software and increasingly through artificial intelligence and machine-learning models to identify crop stress, estimate yield, map soil and moisture variation, optimize irrigation, detect pests or disease, and support insurance and public-sector monitoring. The technology stack is evolving from periodic image acquisition toward continuous intelligence delivered through cloud platforms, application programming interfaces, dashboards, and subscription services. Multispectral imaging remains commercially important because it offers a practical balance among cost, availability, agronomic usefulness, and interpretation. Synthetic aperture radar improves continuity where cloud cover limits optical imagery, while thermal sensing supports water-stress and irrigation decisions. Hyperspectral systems offer richer spectral detail for advanced diagnostics, though cost and complexity remain higher. Data fusion is becoming essential because no single sensor resolves every agricultural question.

KEY MARKET STATISTICS
Forecast Period2026 - 2035
2026 Evaluation$1,369.05 Million
2035 Forecast$3,931.08 Million
CAGR12.43%

Introduction of the Agricultural Remote Sensing Market

The global Agricultural Remote Sensing Market, valued at $1,211.60 million in 2025, is projected to grow substantially, reaching $3,931.08 million by 2035, with a compound annual growth rate (CAGR) of 12.43% from 2026 to 2035.

The market sits at the intersection of aerospace, precision agriculture, geospatial analytics, artificial intelligence, and farm advisory services. Its commercial value does not arise from imagery alone; it depends on translating observations into actions within agronomic, insurance, lending, procurement, and government workflows. Buyers evaluate spatial and temporal resolution, accuracy, crop relevance, interpretation, integration, cost per acre, support, data ownership, and reliability under cloud or connectivity constraints.

Market Introduction

Remote sensing enables stakeholders to monitor large and dispersed agricultural areas more consistently than field inspection alone. Large farms and plantations use it for operational optimization, governments use it for food-security and land monitoring, insurers use it for acreage and damage assessment, and agribusinesses use it for advisory and supply forecasting. Commercial models include direct data sales, software subscriptions, managed analytics, per-acre services, project contracts, enterprise licenses, and embedded application programming interfaces. The most resilient offerings combine data access, analytics, agronomic interpretation, integration, and customer support.

Industrial Impact

The technology changes how agricultural decisions are made by shifting monitoring from periodic field observation toward repeatable, evidence-based intelligence. It can reduce scouting requirements, improve prioritization of field visits, identify stress earlier, support irrigation and nutrient decisions, shorten insurance verification, and strengthen planning across supply chains and government programs. The industrial impact is greatest when remote-sensing outputs are integrated with weather, soil, farm-management, and financial data. This integration creates a common evidence layer for producers, advisers, insurers, lenders, input companies, food businesses, and public agencies.

Market Segmentation:

Segmentation 1: By Application

  • Crop Health Monitoring
  • Yield Estimation and Forecasting
  • Soil Mapping and Moisture Monitoring
  • Irrigation Management
  • Pest and Disease Detection
  • Nutrient Management
  • Field Mapping and Boundary Detection
  • Weather and Climate Risk Monitoring
  • Crop Insurance and Damage Assessment
  • Others

Crop Health Monitoring to Dominate the Agricultural Remote Sensing Market (by Application)

Crop health monitoring leads because it addresses a foundational requirement across commercial farms, plantations, agribusinesses, advisory platforms, and public programs: understanding field condition early enough to act. Multispectral and other imagery can reveal spatial differences in canopy vigor, chlorophyll activity, water stress, nutrient deficiency, pest pressure, and uneven development. These observations help prioritize scouting, irrigation, nutrition, and crop-protection actions. The application is broad enough to serve multiple crops and farm sizes, and its outputs can be linked to productivity, input efficiency, and risk reduction. Other applications-including yield estimation, soil and moisture monitoring, irrigation, pest and disease detection, nutrient management, field mapping, climate-risk monitoring, and insurance assessment-remain important, but crop health monitoring acts as a recurring operational layer that supports many of them.

Segmentation 2: By Solution

  • Hardware
  • Software
  • Services

Services to Dominate the Agricultural Remote Sensing Market (by Solution)

Services lead because many customers need interpreted outputs rather than stand-alone equipment or raw imagery. Managed service providers combine data acquisition, processing, mapping, analytics, agronomic context, and delivery through dashboards, alerts, reports, or application programming interfaces. This model lowers the requirement for customers to own sensors, operate drones, maintain cloud infrastructure, or employ specialist geospatial teams. It also supports per-acre, project, and subscription pricing that can align cost with usage. Hardware remains essential for data capture, while software provides visualization, analytics, workflow management, and integration. However, services create value by connecting those components to a decision and by supporting implementation, validation, and customer training.

Segmentation 3: By Technology

  • Multispectral Imaging
  • Hyperspectral Imaging
  • Thermal Imaging
  • Synthetic Aperture Radar
  • LiDAR
  • Others

Multispectral Imaging to Dominate the Agricultural Remote Sensing Market (by Technology)

Multispectral imaging leads because it offers a commercially effective balance of affordability, availability, agronomic relevance, and interpretability. It supports widely used vegetation indices and repeated monitoring of crop vigor, canopy condition, chlorophyll response, water stress, and nutrient variation. The technology is available across satellite, UAV, and other platforms, enabling users to select different combinations of scale, resolution, and revisit frequency. Hyperspectral imaging provides richer spectral information for advanced diagnostics but remains more complex and costly. Thermal imaging is valuable for irrigation and water-stress analysis, radar improves observation under cloud cover, and LiDAR supports terrain and three-dimensional canopy mapping. Multispectral systems nevertheless remain the most accessible foundation for broad agricultural monitoring.

Segmentation 4: By Platform

  • Satellite-Based Remote Sensing
  • UAV/Drone-Based Remote Sensing
  • Ground-Based Remote Sensing
  • Manned Aircraft-Based Remote Sensing

Satellite-Based Remote Sensing to Dominate the Agricultural Remote Sensing Market (by Platform)

Satellite-based remote sensing leads because it provides repeatable wide-area coverage, historical archives, and relatively low operational complexity for continuous monitoring. It is especially suitable for large farms, regions, national crop zones, insurance portfolios, and government programs. UAV systems provide higher-resolution and flexible field-level observation, making them valuable for scouting and localized diagnostics, but their operations can be constrained by regulation, weather, staffing, and scale. Ground-based systems support detailed measurements and validation, while manned aircraft serve selected high-resolution missions. Commercial platforms increasingly combine satellites with UAV, weather, soil, and field data to balance coverage, revisit frequency, accuracy, and cost.

Segmentation 5: by Region

  • North America: U.S., Canada, and Mexico
  • Europe: Germany, France, Italy, Spain, U.K., and Rest-of-Europe
  • Asia-Pacific: China, Japan, South Korea, India, Australia, and Rest-of-Asia-Pacific
  • Rest-of-the-World: South America, Middle East and Africa

North America to Dominate the Agricultural Remote Sensing Market (by Region)

North America leads because the region combines large commercial farms, strong precision-agriculture adoption, established satellite and geospatial capabilities, agritech investment, and mature insurance and enterprise use cases. Customers are more likely to have digital farm records, connectivity, equipment integration, and the financial scale needed to evaluate remote sensing through measurable yield protection, input savings, or labor efficiency. The region also benefits from technology providers and service ecosystems that can integrate imagery with agronomic and financial workflows. Europe has advanced farming and sustainability-driven demand, while Asia-Pacific offers strong growth potential through government programs and the scale of agricultural production. North America's current advantage is therefore rooted in commercialization readiness as much as in technical capability.

Recent Developments in the Agricultural Remote Sensing Market

  • In July 2025, EarthDaily Analytics integrated state-level NDVI feeds and global crop intelligence into the Bloomberg Terminal, expanding access to satellite-derived agricultural insights for commodity professionals, investors, analysts, insurers, and other market participants.
  • In May 2025, John Deere acquired Sentera to integrate aerial imagery, remote field scouting, and agronomic analytics with the John Deere Operations Center, supporting data-driven decisions concerning crop conditions, input application, profitability, and sustainability.
  • In January 2025, Pixxel launched the first three Firefly hyperspectral satellites, commencing commercial operations and expanding high-resolution Earth-observation capabilities for agricultural monitoring, resource management, climate assessment, environmental protection, and other data-intensive applications worldwide.

Demand - Drivers, Challenges, and Opportunities

Market Drivers

The first major driver is the need for yield optimization and farm-productivity improvement. Remote sensing helps users identify field variability, crop stress, water shortages, nutrient issues, and pest pressure earlier than broad visual inspection. Earlier detection can improve the timing of scouting, irrigation, nutrition, and crop-protection decisions, helping protect yield while reducing unnecessary inputs. A second driver is rising climate variability. Drought, heat, flooding, and changing weather patterns increase the need for frequent monitoring, early warning, and spatial assessment of agricultural risk. Satellite and radar systems are particularly useful where field access is limited or where large territories must be monitored consistently. A third driver is government support for digital agriculture and food-security monitoring. Public agencies require scalable methods for crop acreage, production forecasting, drought assessment, land-use monitoring, and program administration. Government-funded platforms, open datasets, and public-private programs can expand adoption and create reference deployments for commercial providers. Together, these drivers favor solutions that can deliver repeatable evidence across many fields and connect it to operational or policy decisions.

Market Challenges

Affordability and uncertain return on investment remain significant challenges, especially for small and medium farmers. Hardware purchases, premium imagery, specialist analytics, and advisory services may be difficult to justify unless benefits can be measured through yield protection, water savings, input reduction, or lower labor requirements. Data interpretation is another constraint. Vegetation indices, radar outputs, thermal maps, and model forecasts require technical expertise and local agronomic context; poorly explained outputs can reduce trust or lead to weak action. Connectivity limitations, fragmented landholdings, cloud cover, and inconsistent field boundaries can reduce reliability. Drone operations also face airspace permissions and local regulatory requirements. In addition, model performance can vary by crop, growth stage, soil, climate, and management practice. Vendors must therefore invest in calibration, validation, transparent confidence levels, customer training, and integration with existing workflows rather than assuming that imagery alone will create adoption.

Market Opportunities

Agricultural insurance and farm-credit assessment represent a major opportunity because remote sensing can support acreage verification, crop-condition monitoring, event-based damage assessment, and risk scoring across large portfolios. These use cases have clear financial workflows and can reduce the cost or time of field verification. Sustainability and carbon-farming programs create another opportunity by requiring consistent evidence of land use, crop cover, water efficiency, and resource-management practices. A third opportunity lies in integrated platforms that combine satellite, drone, weather, soil, and farm-management data. Data fusion can improve reliability, reduce dependence on one sensing method, and produce more localized recommendations. Providers can also expand through managed services and subscriptions that reduce upfront investment. The greatest commercial potential belongs to companies that combine data, analytics, agronomic advice, and integration with insurance, lending, government, or farm-management systems.

How can this report add value to an organization?

The report supports market-entry assessment, product planning, partnership strategy, regional prioritization, competitive benchmarking, and commercial due diligence. Technology suppliers can identify leading applications and buyer requirements; agritech firms can assess integration opportunities; investors can evaluate growth, risk, and competitive positioning; insurers and lenders can explore risk-monitoring workflows; and governments can compare technology options for food-security and agricultural programs.

Product/Innovation Strategy: Organizations should build multi-sensor, cloud-native solutions that combine optical, radar, thermal, weather, soil, and field data. Product development should focus on crop-specific models, transparent validation, user-friendly alerts, application programming interfaces, and integration with farm-management or insurance systems. Service packaging should convert technical outputs into recommendations and clearly communicate confidence and limitations.

Growth/Marketing Strategy: Growth should begin with applications where the economic link between observation and action is strongest, such as crop health, irrigation, yield forecasting, and claims assessment. Pilot projects should measure baseline performance and document yield protection, water savings, input reduction, faster claims processing, or reduced scouting. Distribution through cooperatives, agronomists, input companies, insurers, and public agencies can improve customer access and local trust.

Competitive Strategy: Competitive differentiation requires more than higher-resolution imagery. Providers should combine data access with agronomic interpretation, integration, support, validation, and flexible pricing. Partnerships can connect satellite operators with agritech platforms, drone firms with regional service providers, and analytics vendors with insurers, lenders, food companies, and government agencies. Clear data rights and recurring-revenue arrangements should be defined at the outset.

Methodology

Primary Data Sources

The primary sources involve industry experts from the agricultural remote sensing market and various stakeholders in the ecosystem. Respondents, including CEOs, vice presidents, marketing directors, and technology and innovation directors, have been interviewed to gather and verify both qualitative and quantitative aspects of this research study.

The key data points taken from primary sources include:

  • Validation and triangulation of all the numbers and graphs
  • Validation of report segmentations and key qualitative findings
  • Understanding the competitive landscape
  • Validation of the numbers of various markets for the market type
  • Percentage split of individual markets for geographical analysis

Secondary Data Sources

This research study involves the extensive use of secondary sources, including company websites, annual reports, investor presentations, press releases, white papers, technical publications, and industry directories. It also utilizes databases such as Hoover's, Bloomberg, Businessweek, and Factiva to collect relevant and reliable information for a comprehensive, technology-focused, market-oriented, and commercial analysis of the global agricultural remote sensing market. In addition to these sources, the study has been supported by data and insights from government publications, robotics associations, international organizations, patent databases, regulatory bodies, research institutes, and other credible public-domain sources to assess market developments, technology trends, competitive positioning, and industry adoption patterns.

Secondary research has been done to obtain crucial information about the industry's value chain, revenue models, the market's monetary chain, the total pool of key players, and the current and potential use cases and applications.

The key data points taken from secondary research include:

  • Segmentations and percentage shares
  • Data for market value
  • Key industry trends of the top players in the market
  • Qualitative insights into various aspects of the market, key trends, and emerging areas of innovation
  • Quantitative data for mathematical and statistical calculations

Key Market Players and Competition Synopsis

The competitive environment includes Earth-observation and satellite operators, aerospace companies, drone manufacturers, payload and sensor suppliers, geospatial software vendors, agritech platforms, analytics specialists, and field-service providers. Competition is moving beyond imagery acquisition toward differentiated analytics, crop-specific models, agronomic interpretation, workflow integration, and recurring services. Satellite providers benefit from scale, repeatability, and archived data, while drone specialists compete through flexibility and field-level resolution. Software and service providers increasingly determine customer value because they convert raw observations into alerts, forecasts, field maps, underwriting evidence, and recommendations. Partnerships across satellite data, drones, farm-management software, insurers, input companies, cooperatives, and government agencies are therefore central to commercialization.

List of key companies profiled in the market report:

  • DJI Agriculture
  • Planet Labs PBC
  • Bayer Crop Science / Climate FieldView
  • Airbus SE
  • Syngenta Group / Cropwise
  • EarthDaily Analytics
  • Taranis
  • Ceres AI
  • CropX Technologies
  • Pix4D
  • EOS Data Analytics
  • Sentera
  • xarvio / BASF Digital Farming
  • AgEagle Aerial Systems / EagleNXT
  • Pixxel

Table of Contents

Executive Summary

Scope and Definition

1 Market: Industry Outlook

  • 1.1 Trends: Current and Future Impact Assessment
    • 1.1.1 Integration of AI and Machine Learning with Remote Sensing Analytics
    • 1.1.2 Rising Use of Satellite-Based Monitoring for Large-Scale Agricultural Intelligence
    • 1.1.3 Shift Toward Service-Based and Subscription-Based Remote Sensing Models
  • 1.2 Stakeholder Analysis
    • 1.2.1 Use Case
    • 1.2.2 End User and Buying Criteria
  • 1.3 Market Dynamics Overview
    • 1.3.1 Market Drivers
      • 1.3.1.1 Growing Need for Yield Optimization and Farm Productivity Improvement
      • 1.3.1.2 Rising Climate Variability and Demand for Agricultural Risk Monitoring
      • 1.3.1.3 Increasing Government Support for Digital Agriculture and Food Security Monitoring
    • 1.3.2 Market Restraints
      • 1.3.2.1 Limited Affordability and Unclear Return on Investment for Small and Medium Farmers
      • 1.3.2.2 Data Interpretation Complexity and Lack of Technical Expertise
    • 1.3.3 Market Opportunities
      • 1.3.3.1 Expansion of Remote Sensing in Agricultural Insurance and Farm Credit Assessment
      • 1.3.3.2 Growing Demand for Sustainability, Carbon Farming, and Resource Efficiency Monitoring
  • 1.4 Research and Development Review
    • 1.4.1 Patent Filing Trend by Country and by Company
  • 1.5 Regulatory Landscape
  • 1.6 Startup Landscape
  • 1.7 Investment Landscape and R&D Trends
  • 1.8 Future Outlook and Market Roadmap
  • 1.9 Value Chain Analysis
  • 1.1 Industry Attractiveness

2 Application

  • 2.1 Application Summary
  • 2.2 Agricultural Remote Sensing Market (by Application)
    • 2.2.1 Crop Health Monitoring
    • 2.2.2 Yield Estimation and Forecasting
    • 2.2.3 Soil Mapping and Moisture Monitoring
    • 2.2.4 Irrigation Management
    • 2.2.5 Pest and Disease Detection
    • 2.2.6 Nutrient Management
    • 2.2.7 Field Mapping and Boundary Detection
    • 2.2.8 Weather and Climate Risk Monitoring
    • 2.2.9 Crop Insurance and Damage Assessment
    • 2.2.10 Others

3 Products

  • 3.1 Product Summary
  • 3.2 Agricultural Remote Sensing Market (by Solution)
    • 3.2.1 Hardware
    • 3.2.2 Software
    • 3.2.3 Services
  • 3.3 Agricultural Remote Sensing Market (by Technology)
    • 3.3.1 Multispectral Imaging
    • 3.3.2 Hyperspectral Imaging
    • 3.3.3 Thermal Imaging
    • 3.3.4 Synthetic Aperture Radar
    • 3.3.5 LiDAR
    • 3.3.6 Others
  • 3.4 Agricultural Remote Sensing Market (by Platform)
    • 3.4.1 Satellite-Based Remote Sensing
    • 3.4.2 UAV/Drone-Based Remote Sensing
    • 3.4.3 Ground-Based Remote Sensing
    • 3.4.4 Manned Aircraft-Based Remote Sensing

4 Region

  • 4.1 Regional Summary
  • 4.2 North America
    • 4.2.1 Regional Overview
      • 4.2.1.1 Driving Factors for Market Growth
      • 4.2.1.2 Factors Challenging the Market
    • 4.2.2 Application
    • 4.2.3 Product
    • 4.2.4 North America (by Country)
      • 4.2.4.1 U.S.
        • 4.2.4.1.1 Market by Application
        • 4.2.4.1.2 Market by Product
      • 4.2.4.2 Canada
        • 4.2.4.2.1 Market by Application
        • 4.2.4.2.2 Market by Product
      • 4.2.4.3 Mexico
        • 4.2.4.3.1 Market by Application
        • 4.2.4.3.2 Market by Product
  • 4.3 Europe
    • 4.3.1 Regional Overview
      • 4.3.1.1 Driving Factors for Market Growth
      • 4.3.1.2 Factors Challenging the Market
    • 4.3.2 Application
    • 4.3.3 Product
    • 4.3.4 Europe (by Country)
      • 4.3.4.1 Germany
        • 4.3.4.1.1 Market by Application
        • 4.3.4.1.2 Market by Product
      • 4.3.4.2 France
        • 4.3.4.2.1 Market by Application
        • 4.3.4.2.2 Market by Product
      • 4.3.4.3 Italy
        • 4.3.4.3.1 Market by Application
        • 4.3.4.3.2 Market by Product
      • 4.3.4.4 Spain
        • 4.3.4.4.1 Market by Application
        • 4.3.4.4.2 Market by Product
      • 4.3.4.5 U.K.
        • 4.3.4.5.1 Market by Application
        • 4.3.4.5.2 Market by Product
      • 4.3.4.6 Rest-of-Europe
        • 4.3.4.6.1 Market by Application
        • 4.3.4.6.2 Market by Product
  • 4.4 Asia-Pacific
    • 4.4.1 Regional Overview
      • 4.4.1.1 Driving Factors for Market Growth
      • 4.4.1.2 Factors Challenging the Market
    • 4.4.2 Application
    • 4.4.3 Product
    • 4.4.4 Asia-Pacific (by Country)
      • 4.4.4.1 China
        • 4.4.4.1.1 Market by Application
        • 4.4.4.1.2 Market by Product
      • 4.4.4.2 Japan
        • 4.4.4.2.1 Market by Application
        • 4.4.4.2.2 Market by Product
      • 4.4.4.3 South Korea
        • 4.4.4.3.1 Market by Application
        • 4.4.4.3.2 Market by Product
      • 4.4.4.4 India
        • 4.4.4.4.1 Market by Application
        • 4.4.4.4.2 Market by Product
      • 4.4.4.5 Australia
        • 4.4.4.5.1 Market by Application
        • 4.4.4.5.2 Market by Product
      • 4.4.4.6 Rest-of-Asia-Pacific
        • 4.4.4.6.1 Market by Application
        • 4.4.4.6.2 Market by Product
  • 4.5 Rest-of-the-World
    • 4.5.1 Regional Overview
      • 4.5.1.1 Driving Factors for Market Growth
      • 4.5.1.2 Factors Challenging the Market
    • 4.5.2 Application
    • 4.5.3 Product
    • 4.5.4 Rest-of-the-World (by Region)
      • 4.5.4.1 South America
        • 4.5.4.1.1 Market by Application
        • 4.5.4.1.2 Market by Product
      • 4.5.4.2 Middle East and Africa
        • 4.5.4.2.1 Market by Application
        • 4.5.4.2.2 Market by Product

5 Markets - Competitive Benchmarking & Company Profiles

  • 5.1 Geographic Assessment
  • 5.2 Company Profiles
    • 5.2.1 Planet Labs PBC
      • 5.2.1.1 Overview
      • 5.2.1.2 Top Products/Product Portfolio
      • 5.2.1.3 Top Competitors
      • 5.2.1.4 Target Customers
      • 5.2.1.5 Key Personnel
      • 5.2.1.6 Analyst View
      • 5.2.1.7 Market Share, 2025
    • 5.2.2 Airbus SE
      • 5.2.2.1 Overview
      • 5.2.2.2 Top Products/Product Portfolio
      • 5.2.2.3 Top Competitors
      • 5.2.2.4 Target Customers
      • 5.2.2.5 Key Personnel
      • 5.2.2.6 Analyst View
      • 5.2.2.7 Market Share, 2025
    • 5.2.3 EarthDaily Analytics
      • 5.2.3.1 Overview
      • 5.2.3.2 Top Products/Product Portfolio
      • 5.2.3.3 Top Competitors
      • 5.2.3.4 Target Customers
      • 5.2.3.5 Key Personnel
      • 5.2.3.6 Analyst View
      • 5.2.3.7 Market Share, 2025
    • 5.2.4 EOS Data Analytics
      • 5.2.4.1 Overview
      • 5.2.4.2 Top Products/Product Portfolio
      • 5.2.4.3 Top Competitors
      • 5.2.4.4 Target Customers
      • 5.2.4.5 Key Personnel
      • 5.2.4.6 Analyst View
      • 5.2.4.7 Market Share, 2025
    • 5.2.5 Pixxel
      • 5.2.5.1 Overview
      • 5.2.5.2 Top Products/Product Portfolio
      • 5.2.5.3 Top Competitors
      • 5.2.5.4 Target Customers
      • 5.2.5.5 Key Personnel
      • 5.2.5.6 Analyst View
      • 5.2.5.7 Market Share, 2025
    • 5.2.6 DJI Agriculture
      • 5.2.6.1 Overview
      • 5.2.6.2 Top Products/Product Portfolio
      • 5.2.6.3 Top Competitors
      • 5.2.6.4 Target Customers
      • 5.2.6.5 Key Personnel
      • 5.2.6.6 Analyst View
      • 5.2.6.7 Market Share, 2025
    • 5.2.7 AgEagle Aerial Systems
      • 5.2.7.1 Overview
      • 5.2.7.2 Top Products/Product Portfolio
      • 5.2.7.3 Top Competitors
      • 5.2.7.4 Target Customers
      • 5.2.7.5 Key Personnel
      • 5.2.7.6 Analyst View
      • 5.2.7.7 Market Share, 2025
    • 5.2.8 Pix4D
      • 5.2.8.1 Overview
      • 5.2.8.2 Top Products/Product Portfolio
      • 5.2.8.3 Top Competitors
      • 5.2.8.4 Target Customers
      • 5.2.8.5 Key Personnel
      • 5.2.8.6 Analyst View
      • 5.2.8.7 Market Share, 2025
    • 5.2.9 Sentera
      • 5.2.9.1 Overview
      • 5.2.9.2 Top Products/Product Portfolio
      • 5.2.9.3 Top Competitors
      • 5.2.9.4 Target Customers
      • 5.2.9.5 Key Personnel
      • 5.2.9.6 Analyst View
      • 5.2.9.7 Market Share, 2025
    • 5.2.10 Taranis
      • 5.2.10.1 Overview
      • 5.2.10.2 Top Products/Product Portfolio
      • 5.2.10.3 Top Competitors
      • 5.2.10.4 Target Customers
      • 5.2.10.5 Key Personnel
      • 5.2.10.6 Analyst View
      • 5.2.10.7 Market Share, 2025
    • 5.2.11 Ceres AI
      • 5.2.11.1 Overview
      • 5.2.11.2 Top Products/Product Portfolio
      • 5.2.11.3 Top Competitors
      • 5.2.11.4 Target Customers
      • 5.2.11.5 Key Personnel
      • 5.2.11.6 Analyst View
      • 5.2.11.7 Market Share, 2025
    • 5.2.12 CropX Technologies
      • 5.2.12.1 Overview
      • 5.2.12.2 Top Products/Product Portfolio
      • 5.2.12.3 Top Competitors
      • 5.2.12.4 Target Customers
      • 5.2.12.5 Key Personnel
      • 5.2.12.6 Analyst View
      • 5.2.12.7 Market Share, 2025
    • 5.2.13 Syngenta Group
      • 5.2.13.1 Overview
      • 5.2.13.2 Top Products/Product Portfolio
      • 5.2.13.3 Top Competitors
      • 5.2.13.4 Target Customers
      • 5.2.13.5 Key Personnel
      • 5.2.13.6 Analyst View
      • 5.2.13.7 Market Share, 2025
    • 5.2.14 Xarvio (BASF SE)
      • 5.2.14.1 Overview
      • 5.2.14.2 Top Products/Product Portfolio
      • 5.2.14.3 Top Competitors
      • 5.2.14.4 Target Customers
      • 5.2.14.5 Key Personnel
      • 5.2.14.6 Analyst View
      • 5.2.14.7 Market Share, 2025
    • 5.2.15 Climate FieldView
      • 5.2.15.1 Overview
      • 5.2.15.2 Top Products/Product Portfolio
      • 5.2.15.3 Top Competitors
      • 5.2.15.4 Target Customers
      • 5.2.15.5 Key Personnel
      • 5.2.15.6 Analyst View
      • 5.2.15.7 Market Share, 2025
  • 5.3 Other Key Companies

6 Research Methodology

  • 6.1 Data Sources
    • 6.1.1 Primary Data Sources
    • 6.1.2 Secondary Data Sources
    • 6.1.3 Data Triangulation
  • 6.2 Market Estimation and Forecast

List of Figures

  • Figure 1: Global Agricultural Remote Sensing Market (by Scenario), $Million, 2025, 2030, and 2035
  • Figure 2: Global Agricultural Remote Sensing Market, 2025 and 2035
  • Figure 3: Top 9 Countries, Global Agricultural Remote Sensing Market, $Million, 2025
  • Figure 4: Global Market Snapshot, 2025
  • Figure 5: Global Agricultural Remote Sensing Market, $Million, 2025 and 2035
  • Figure 6: Global Agricultural Remote Sensing Market (by Application), $Million, 2025, 2030, and 2035
  • Figure 7: Global Agricultural Remote Sensing Market (by Solution), $Million, 2025, 2030, and 2035
  • Figure 8: Global Agricultural Remote Sensing Market (by Technology), $Million, 2025, 2030, and 2035
  • Figure 9: Global Agricultural Remote Sensing Market (by Platform), $Million, 2025, 2030, and 2035
  • Figure 10: Agricultural Remote Sensing Market Segmentation
  • Figure 11: Satellite-Based Crop Health Monitoring for Large-Scale Farming
  • Figure 12: Drone-Based Multispectral Imaging for Precision Crop Management
  • Figure 13: Agricultural Remote Sensing Market (by Country/Jurisdiction), January 2023-June 2026
  • Figure 14: Agricultural Remote Sensing Market (by Company), January 2023-June 2026
  • Figure 15: Global Agricultural Remote Sensing Market (by Application), Value, $Million, 2025, 2030, and 2035
  • Figure 16: Global Agricultural Remote Sensing Market (Crop Health Monitoring), Value, $Million, 2025-2035
  • Figure 17: Global Agricultural Remote Sensing Market (Yield Estimation and Forecasting), Value, $Million, 2025-2035
  • Figure 18: Global Agricultural Remote Sensing Market (Soil Mapping and Moisture Monitoring), Value, $Million, 2025-2035
  • Figure 19: Global Agricultural Remote Sensing Market (Irrigation Management), Value, $Million, 2025-2035
  • Figure 20: Global Agricultural Remote Sensing Market (Pest and Disease Detection), Value, $Million, 2025-2035
  • Figure 21: Global Agricultural Remote Sensing Market (Nutrient Management), Value, $Million, 2025-2035
  • Figure 22: Global Agricultural Remote Sensing Market (Field Mapping and Boundary Detection), Value, $Million, 2025-2035
  • Figure 23: Global Agricultural Remote Sensing Market (Weather and Climate Risk Monitoring), Value, $Million, 2025-2035
  • Figure 24: Global Agricultural Remote Sensing Market (Crop Insurance and Damage Assessment), Value, $Million, 2025-2035
  • Figure 25: Global Agricultural Remote Sensing Market (Others), Value, $Million, 2025-2035
  • Figure 26: Global Agricultural Remote Sensing Market (by Solution), Value, $Million, 2025, 2030, and 2035
  • Figure 27: Global Agricultural Remote Sensing Market (by Technology), Value, $Million, 2025, 2030, and 2035
  • Figure 28: Global Agricultural Remote Sensing Market (by Platform), Value, $Million, 2025, 2030, and 2035
  • Figure 29: Global Agricultural Remote Sensing Market (Hardware), Value, $Million, 2025-2035
  • Figure 30: Global Agricultural Remote Sensing Market (Software), Value, $Million, 2025-2035
  • Figure 31: Global Agricultural Remote Sensing Market (Services), Value, $Million, 2025-2035
  • Figure 32: Global Agricultural Remote Sensing Market (Multispectral Imaging), Value, $Million, 2025-2035
  • Figure 33: Global Agricultural Remote Sensing Market (Hyperspectral Imaging), Value, $Million, 2025-2035
  • Figure 34: Global Agricultural Remote Sensing Market (Thermal Imaging), Value, $Million, 2025-2035
  • Figure 35: Global Agricultural Remote Sensing Market (Synthetic Aperture Radar), Value, $Million, 2025-2035
  • Figure 36: Global Agricultural Remote Sensing Market (LiDAR), Value, $Million, 2025-2035
  • Figure 37: Global Agricultural Remote Sensing Market (Others), Value, $Million, 2025-2035
  • Figure 38: Global Agricultural Remote Sensing Market (Satellite-Based Remote Sensing), Value, $Million, 2025-2035
  • Figure 39: Global Agricultural Remote Sensing Market (UAV/Drone-Based Remote Sensing), Value, $Million, 2025-2035
  • Figure 40: Global Agricultural Remote Sensing Market (Ground-Based Remote Sensing), Value, $Million, 2025-2035
  • Figure 41: Global Agricultural Remote Sensing Market (Manned Aircraft-Based Remote Sensing), Value, $Million, 2025-2035
  • Figure 42: U.S. Agricultural Remote Sensing Market, $Million, 2025-2035
  • Figure 43: Canada Agricultural Remote Sensing Market, $Million, 2025-2035
  • Figure 44: Mexico Agricultural Remote Sensing Market, $Million, 2025-2035
  • Figure 45: Germany Agricultural Remote Sensing Market, $Million, 2025-2035
  • Figure 46: France Agricultural Remote Sensing Market, $Million, 2025-2035
  • Figure 47: Italy Agricultural Remote Sensing Market, $Million, 2025-2035
  • Figure 48: Spain Agricultural Remote Sensing Market, $Million, 2025-2035
  • Figure 49: U.K. Agricultural Remote Sensing Market, $Million, 2025-2035
  • Figure 50: Rest-of-Europe Agricultural Remote Sensing Market, $Million, 2025-2035
  • Figure 51: China Agricultural Remote Sensing Market, $Million, 2025-2035
  • Figure 52: Japan Agricultural Remote Sensing Market, $Million, 2025-2035
  • Figure 53: South Korea Agricultural Remote Sensing Market, $Million, 2025-2035
  • Figure 54: India Agricultural Remote Sensing Market, $Million, 2025-2035
  • Figure 55: Australia Agricultural Remote Sensing Market, $Million, 2025-2035
  • Figure 56: Rest-of-Asia-Pacific Agricultural Remote Sensing Market, $Million, 2025-2035
  • Figure 57: South America Agricultural Remote Sensing Market, $Million, 2025-2035
  • Figure 58: Middle East and Africa Agricultural Remote Sensing Market, $Million, 2025-2035
  • Figure 59: Geographic Assessment of the Market
  • Figure 60: Data Triangulation
  • Figure 61: Top-Down and Bottom-Up Approach
  • Figure 62: Assumptions and Limitations

List of Tables

  • Table 1: Market Snapshot
  • Table 2: Competitive Landscape Snapshot
  • Table 3: List of Countries and their Regulatory Policies or Programs
  • Table 4: List of Start-Ups
  • Table 5: Key Investments and Funding in the Agricultural Remote Sensing Market
  • Table 6: Global Agricultural Remote Sensing Market (by Region), $Million, 2025-2035
  • Table 7: North America Agricultural Remote Sensing Market (by Application), $Million, 2025-2035
  • Table 8: North America Agricultural Remote Sensing Market (by Technology), $Million, 2025-2035
  • Table 9: North America Agricultural Remote Sensing Market (by Solution), $Million, 2025-2035
  • Table 10: North America Agricultural Remote Sensing Market (by Platform), $Million, 2025-2035
  • Table 11: U.S. Agricultural Remote Sensing Market (by Application), $Million, 2025-2035
  • Table 12: U.S. Agricultural Remote Sensing Market (by Technology), $Million, 2025-2035
  • Table 13: U.S. Agricultural Remote Sensing Market (by Solution), $Million, 2025-2035
  • Table 14: U.S. Agricultural Remote Sensing Market (by Platform), $Million, 2025-2035
  • Table 15: Canada Agricultural Remote Sensing Market (by Application), $Million, 2025-2035
  • Table 16: Canada Agricultural Remote Sensing Market (by Technology), $Million, 2025-2035
  • Table 17: Canada Agricultural Remote Sensing Market (by Solution), $Million, 2025-2035
  • Table 18: Canada Agricultural Remote Sensing Market (by Platform), $Million, 2025-2035
  • Table 19: Mexico Agricultural Remote Sensing Market (by Application), $Million, 2025-2035
  • Table 20: Mexico Agricultural Remote Sensing Market (by Technology), $Million, 2025-2035
  • Table 21: Mexico Agricultural Remote Sensing Market (by Solution), $Million, 2025-2035
  • Table 22: Mexico Agricultural Remote Sensing Market (by Platform), $Million, 2025-2035
  • Table 23: Europe Agricultural Remote Sensing Market (by Application), $Million, 2025-2035
  • Table 24: Europe Agricultural Remote Sensing Market (by Technology), $Million, 2025-2035
  • Table 25: Europe Agricultural Remote Sensing Market (by Solution), $Million, 2025-2035
  • Table 26: Europe Agricultural Remote Sensing Market (by Platform), $Million, 2025-2035
  • Table 27: Germany Agricultural Remote Sensing Market (by Application), $Million, 2025-2035
  • Table 28: Germany Agricultural Remote Sensing Market (by Technology), $Million, 2025-2035
  • Table 29: Germany Agricultural Remote Sensing Market (by Solution), $Million, 2025-2035
  • Table 30: Germany Agricultural Remote Sensing Market (by Platform), $Million, 2025-2035
  • Table 31: France Agricultural Remote Sensing Market (by Application), $Million, 2025-2035
  • Table 32: France Agricultural Remote Sensing Market (by Technology), $Million, 2025-2035
  • Table 33: France Agricultural Remote Sensing Market (by Solution), $Million, 2025-2035
  • Table 34: France Agricultural Remote Sensing Market (by Platform), $Million, 2025-2035
  • Table 35: Italy Agricultural Remote Sensing Market (by Application), $Million, 2025-2035
  • Table 36: Italy Agricultural Remote Sensing Market (by Technology), $Million, 2025-2035
  • Table 37: Italy Agricultural Remote Sensing Market (by Solution), $Million, 2025-2035
  • Table 38: Italy Agricultural Remote Sensing Market (by Platform), $Million, 2025-2035
  • Table 39: Spain Agricultural Remote Sensing Market (by Application), $Million, 2025-2035
  • Table 40: Spain Agricultural Remote Sensing Market (by Technology), $Million, 2025-2035
  • Table 41: Spain Agricultural Remote Sensing Market (by Solution), $Million, 2025-2035
  • Table 42: Spain Agricultural Remote Sensing Market (by Platform), $Million, 2025-2035
  • Table 43: U.K. Agricultural Remote Sensing Market (by Application), $Million, 2025-2035
  • Table 44: U.K. Agricultural Remote Sensing Market (by Technology), $Million, 2025-2035
  • Table 45: U.K. Agricultural Remote Sensing Market (by Solution), $Million, 2025-2035
  • Table 46: U.K. Agricultural Remote Sensing Market (by Platform), $Million, 2025-2035
  • Table 47: Rest-of-Europe Agricultural Remote Sensing Market (by Application), $Million, 2025-2035
  • Table 48: Rest-of-Europe Agricultural Remote Sensing Market (by Technology), $Million, 2025-2035
  • Table 49: Rest-of-Europe Agricultural Remote Sensing Market (by Solution), $Million, 2025-2035
  • Table 50: Rest-of-Europe Agricultural Remote Sensing Market (by Platform), $Million, 2025-2035
  • Table 51: Asia-Pacific Agricultural Remote Sensing Market (by Application), $Million, 2025-2035
  • Table 52: Asia-Pacific Agricultural Remote Sensing Market (by Technology), $Million, 2025-2035
  • Table 53: Asia-Pacific Agricultural Remote Sensing Market (by Solution), $Million, 2025-2035
  • Table 54: Asia-Pacific Agricultural Remote Sensing Market (by Platform), $Million, 2025-2035
  • Table 55: China Agricultural Remote Sensing Market (by Application), $Million, 2025-2035
  • Table 56: China Agricultural Remote Sensing Market (by Technology), $Million, 2025-2035
  • Table 57: China Agricultural Remote Sensing Market (by Solution), $Million, 2025-2035
  • Table 58: China Agricultural Remote Sensing Market (by Platform), $Million, 2025-2035
  • Table 59: Japan Agricultural Remote Sensing Market (by Application), $Million, 2025-2035
  • Table 60: Japan Agricultural Remote Sensing Market (by Technology), $Million, 2025-2035
  • Table 61: Japan Agricultural Remote Sensing Market (by Solution), $Million, 2025-2035
  • Table 62: Japan Agricultural Remote Sensing Market (by Platform), $Million, 2025-2035
  • Table 63: South Korea Agricultural Remote Sensing Market (by Application), $Million, 2025-2035
  • Table 64: South Korea Agricultural Remote Sensing Market (by Technology), $Million, 2025-2035
  • Table 65: South Korea Agricultural Remote Sensing Market (by Solution), $Million, 2025-2035
  • Table 66: South Korea Agricultural Remote Sensing Market (by Platform), $Million, 2025-2035
  • Table 67: India Agricultural Remote Sensing Market (by Application), $Million, 2025-2035
  • Table 68: India Agricultural Remote Sensing Market (by Technology), $Million, 2025-2035
  • Table 69: India Agricultural Remote Sensing Market (by Solution), $Million, 2025-2035
  • Table 70: India Agricultural Remote Sensing Market (by Platform), $Million, 2025-2035
  • Table 71: Australia Agricultural Remote Sensing Market (by Application), $Million, 2025-2035
  • Table 72: Australia Agricultural Remote Sensing Market (by Technology), $Million, 2025-2035
  • Table 73: Australia Agricultural Remote Sensing Market (by Solution), $Million, 2025-2035
  • Table 74: Australia Agricultural Remote Sensing Market (by Platform), $Million, 2025-2035
  • Table 75: Rest-of-Asia-Pacific Agricultural Remote Sensing Market (by Application), $Million, 2025-2035
  • Table 76: Rest-of-Asia-Pacific Agricultural Remote Sensing Market (by Technology), $Million, 2025-2035
  • Table 77: Rest-of-Asia-Pacific Agricultural Remote Sensing Market (by Solution), $Million, 2025-2035
  • Table 78: Rest-of-Asia-Pacific Agricultural Remote Sensing Market (by Platform), $Million, 2025-2035
  • Table 79: Rest-of-the-World Agricultural Remote Sensing Market (by Application), $Million, 2025-2035
  • Table 80: Rest-of-the-World Agricultural Remote Sensing Market (by Technology), $Million, 2025-2035
  • Table 81: Rest-of-the-World Agricultural Remote Sensing Market (by Solution), $Million, 2025-2035
  • Table 82: Rest-of-the-World Agricultural Remote Sensing Market (by Platform), $Million, 2025-2035
  • Table 83: South America Agricultural Remote Sensing Market (by Application), $Million, 2025-2035
  • Table 84: South America Agricultural Remote Sensing Market (by Technology), $Million, 2025-2035
  • Table 85: South America Agricultural Remote Sensing Market (by Solution), $Million, 2025-2035
  • Table 86: South America Agricultural Remote Sensing Market (by Platform), $Million, 2025-2035
  • Table 87: Middle East and Africa Agricultural Remote Sensing Market (by Application), $Million, 2025-2035
  • Table 88: Middle East and Africa Agricultural Remote Sensing Market (by Technology), $Million, 2025-2035
  • Table 89: Middle East and Africa Agricultural Remote Sensing Market (by Solution), $Million, 2025-2035
  • Table 90: Middle East and Africa Agricultural Remote Sensing Market (by Platform), $Million, 2025-2035
  • Table 91: Company Market Shares, 2025
  • Table 92: Other Key Companies