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市場調查報告書
商品編碼
2106370

2034年衛星精密農業市場預測－按衛星類型、解決方案、應用、最終用戶和地區分類的全球分析

Satellite-Based Crop Intelligence Market Forecasts to 2034 - Global Analysis By Satellite Type, Solution, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

全球衛星精密農業市場預計到 2026 年將達到 18 億美元，並在預測期內以 19.1% 的複合年成長率成長，到 2034 年將達到 76 億美元。

基於衛星的精密農業是指利用分析平台和資料服務，處理來自光學、雷達和頻譜資訊服務的地球觀測影像，從而產生可操作的農業信息，用於作物監測、產量預測和最佳化田間管理。這些系統採用人工智慧演算法、頻譜技術和地理空間處理框架，以檢測作物健康狀況的波動、估算生物量累積、識別病蟲害脅迫指標，並監測大片農田的土壤濕度水平。

衛星星系的擴展

商業地球觀測衛星星系的快速擴張顯著提高了農業應用影像的可用性，縮短了影像重拍間隔，並降低了資料擷取成本，從而推動了基於衛星的精密農業市場的蓬勃發展。 Planet Labs、Maxar Technologies 和 Capella Space 等公司正在部署數百顆小型衛星，這些衛星能夠每天在全球農業區拍攝高解析度影像，從而實現傳統衛星系統無法進行的時間序列分析。衛星影像每平方公里成本的不斷下降，使得以往無力承擔商業遙感探測服務的小型和中型農戶以及農業合作社也能越來越容易地獲得此類服務。

影像解析度的極限

商用衛星影像的空間解析度限制了詳細資訊中單一植株的脅迫、溝壟層面的差異或早期病蟲害。而來自私人供應商的亞米級解析度影像價格昂貴，限制了大面積監測的頻繁獲取，並在空間細節和時間覆蓋範圍之間造成了權衡，從而降低了其在某些精密農業應用中的分析價值。

推廣到小規模農戶

低成本衛星影像服務和行動分析平台的出現，為亞洲、非洲和拉丁美洲總合公頃土地上的小規模農戶提供了基於衛星的精密農業，創造了巨大的機會。農業推廣服務和發展機構正擴大部署基於衛星的諮詢工具，透過簡單的行動電話介面，為小規模農戶提供作物健康警報、基於天氣的建議和市場價格預測，而無需他們擁有智慧型手機或網路連線。

利用無人機影像進行比賽

無人機遙感探測平台成本的降低和運行技術的日益成熟，使其能夠提供空間解析度與衛星遙感相當甚至更高的圖像，且不受衛星數據時間和大氣條件的限制，從而對衛星遙感構成了競爭威脅。配備頻譜、熱成像和高光譜遙測感測器的農業無人機系統可以按需獲取厘米級解析度的圖像，從而能夠以當前衛星技術無法企及的規模檢測作物脅迫模式、灌溉效率低下以及病蟲害爆發情況。無人機影像處理和人工智慧（AI）分析平台的整合降低了空中作物監測的操作複雜性和成本，使得無人機遙感資訊擷取在中型農場中越來越能與衛星遙感服務相抗衡。

新型冠狀病毒（COVID-19）的影響：

新冠疫情初期，由於農民優先採購必需投入品，並因農產品價格波動而推遲了可選的遙感探測契約，導致農業技術支出減少，從而擾亂了基於衛星的作物智慧服務。疫情期間的旅行限制和保持社交距離的要求，加速了人們對遠端監測解決方案的興趣，這些方案可以減少對現場目視檢查的依賴，並重新激發了對基於衛星的作物健康評估平台的需求，該平台能夠實現遠端農場管理。疫情後時代，農業勞動力供應和供應鏈韌性規劃的結構性變化，持續推動了對衛星作物智慧技術的投資。如今，這項技術已成為維持生產可視性的關鍵基礎設施，即使在未來勞動力短缺的情況下，也能確保在有或沒有現場顧問的情況下，都能實現一致的、數據驅動的農場管理。

在預測期內，光學衛星領域預計將佔據最大的市場佔有率。

在預測期內，光學衛星領域預計將佔據最大的市場佔有率。這是因為諸如Landsat、Sentinel、PlanetScope和SPOT等成熟的衛星星系廣泛提供頻譜和高光譜遙測影像，為大多數農業遙感探測應用提供了基礎資料層。光學衛星影像透過捕捉可見光、近紅外線和短波紅外線波段的反射率，能夠計算不同農業景觀和種植系統的植被指數、作物類型分類和生物量估算。 Planet Labs、Maxar Technologies和空中巴士防務與航太公司等領先的衛星營運商正在建立覆蓋全球農業、跨越多個生長季的綜合光學影像檔案庫，從而實現歷史趨勢分析和異常檢測。

在預測期內，奈米衛星和立方衛星領域預計將呈現最高的複合年成長率。

在預測期內，奈米衛星和立方衛星領域預計將呈現最高的成長率，這主要得益於地球觀測能力在農業應用領域的快速普及。而地球觀測能力的普及又得益於小型衛星標準化外形規格所帶來的發射成本大幅降低和部署速度加快。由Planet Labs和Spire Global等公司營運的立方衛星衛星群，能夠以傳統大型衛星平台無法企及的價格，實現每日全球重觀測，從而為作物監測和變化檢測提供前所未有的時間解析度。

市佔率最大的地區：

在整個預測期內，北美預計將保持最大的市場佔有率，這得益於其先進的精密農業基礎設施、大規模商業農場的集中分佈以及對開發衛星智慧平台的農業科技新創企業的大量創業投資投資。美國玉米、大豆和小麥產區的衛星作物監測普及率最高，因此對植被指數時間序列資料和產量預測服務有顯著的需求。加拿大草原地區的糧食生產企業也擴大利用衛星智慧技術來評估作物生長並監測大片農田的乾旱狀況。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率，這主要得益於中國和印度的大規模農業生產、政府推動智慧農業數位化轉型的舉措以及商業化農業的快速擴張，從而催生了對價格合理的遠端監測解決方案的可擴展需求。中國政府為推動數位農業發展而大力投資於基於衛星的作物監測平台，這些平台能夠評估數百萬公頃土地上的作物狀況，用於國家糧食安全規劃和農業補貼檢驗。

免費客製化服務：

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  • 企業概況
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  • 區域細分
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    • 根據產品系列、地理覆蓋範圍和策略聯盟對領先公司進行基準分析。

目錄

第1章執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要公司市佔率分析
  • 產品基準評效和效能比較

第5章：全球衛星精密農業市場：依衛星類型分類

  • 光學衛星
  • 合成孔徑雷達（SAR）衛星
  • 氣象衛星
  • 奈米衛星和立方衛星

第6章 全球衛星精密農業市場：依解決方案分類

  • 圖片服務
  • 數據分析平台
  • 作物監測軟體
  • 現場測繪解決方案
  • 產量預測解決方案
  • 決策支援系統
  • 專業服務

第7章 全球衛星精密農業市場：依應用領域分類

  • 作物健康監測
  • 土壤濕度分析
  • 實地測繪
  • 收益率預測
  • 乾旱監測
  • 病蟲害檢測
  • 農業保險評估

第8章：全球衛星精密農業市場：依最終用戶分類

  • 商業農場
  • 農業合作社
  • 政府農業機構
  • 農業技術公司
  • 農作物保險提供者
  • 研究機構和大學
  • 其他最終用戶

第9章 全球衛星精密農業市場：依地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第10章 戰略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第11章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第12章：公司簡介

  • Planet Labs PBC
  • Maxar Technologies Inc.
  • Airbus Defence and Space
  • Capella Space Corp.
  • ICEYE Oy
  • BlackSky Technology Inc.
  • Descartes Labs Inc.
  • UP42 GmbH
  • Hexagon AB
  • Trimble Inc.
  • Esri Inc.
  • John Deere
  • CropX Technologies Ltd.
  • IBM Corporation
  • Orbital Insight Inc.
  • GeoSys
  • SatSure Analytics India Pvt. Ltd.
Product Code: SMRC38541

According to Stratistics MRC, the Global Satellite-Based Crop Intelligence Market is accounted for $1.8 billion in 2026 and is expected to reach $7.6 billion by 2034 growing at a CAGR of 19.1% during the forecast period. Satellite-based crop intelligence refers to the analytical platforms and data services that process Earth observation imagery from optical, radar, and multispectral satellites to generate actionable agricultural insights for crop monitoring, yield prediction, and field management optimization. These systems employ artificial intelligence algorithms, spectral analysis techniques, and geospatial processing frameworks to detect crop health variations, estimate biomass accumulation, identify pest and disease stress indicators, and monitor soil moisture conditions across extensive agricultural landscapes.

Market Dynamics:

Driver:

Satellite Constellation Expansion

The rapid expansion of commercial Earth observation satellite constellations is driving substantial growth in satellite-based crop intelligence by dramatically increasing imagery availability, reducing revisit intervals, and lowering data acquisition costs for agricultural applications. Companies including Planet Labs, Maxar Technologies, and Capella Space are deploying hundreds of small satellites capable of capturing daily high-resolution imagery across global agricultural regions, enabling time-series analysis that was previously impossible with traditional satellite systems. The declining cost per square kilometer of satellite imagery is democratizing access for small and medium-scale farming operations and agricultural cooperatives that previously could not afford commercial remote sensing services.

Restraint:

Imagery Resolution Limitations

The spatial resolution limitations of commercially available satellite imagery constrain the granularity of crop intelligence insights that can be generated for certain high-value agricultural applications requiring sub-meter field-level detail. While free government satellite programs including Landsat and Sentinel provide valuable broad-area monitoring capabilities, their spatial resolutions of ten to thirty meters are insufficient for detecting individual plant stress, row-level variability, or early-stage pest infestations in intensive cropping systems. The high cost of sub-meter resolution imagery from commercial providers limits frequent acquisition for large-area monitoring, creating trade-offs between spatial detail and temporal coverage that compromise intelligence value for certain precision agriculture applications.

Opportunity:

Smallholder Farm Democratization

The emergence of low-cost satellite imagery services and mobile-based analytics platforms is creating substantial opportunities to extend satellite-based crop intelligence to smallholder farming operations across Asia, Africa, and Latin America that collectively cultivate hundreds of millions of hectares. Agricultural extension services and development organizations are increasingly deploying satellite-based advisory tools that provide smallholders with crop health alerts, weather-based recommendations, and market price forecasts through simple mobile phone interfaces without requiring smartphone ownership or internet connectivity.

Threat:

Drone Imagery Competition

The increasing affordability and operational maturity of unmanned aerial vehicle-based remote sensing platforms poses a competitive threat to satellite-based crop intelligence by offering comparable or superior spatial resolution imagery without the temporal and atmospheric constraints that limit satellite data utility. Agricultural drone systems equipped with multispectral, thermal, and hyperspectral sensors can capture centimeter-resolution imagery on demand, enabling detection of crop stress patterns, irrigation inefficiencies, and pest hotspots at scales impossible with current satellite technology. The integration of drone imagery processing with artificial intelligence analytics platforms is reducing the operational complexity and cost of aerial crop monitoring, making drone-based intelligence increasingly competitive with satellite services for mid-scale farming operations.

Covid-19 Impact:

The COVID-19 pandemic initially disrupted satellite-based crop intelligence services through reduced agricultural technology spending as farming operations prioritized essential inputs and deferred discretionary remote sensing subscriptions during commodity price volatility. Mid-pandemic travel restrictions and social distancing requirements accelerated interest in remote monitoring solutions that reduced dependence on in-person field scouting, generating renewed demand for satellite-based crop health assessment platforms capable of off-site farm management. Post-pandemic structural changes in agricultural labor availability and supply chain resilience planning have sustained investment in satellite crop intelligence, with the technology now positioned as essential infrastructure for maintaining production oversight during future workforce disruptions and ensuring consistent data-driven farm management regardless of on-site advisory presence.

The optical satellites segment is expected to be the largest during the forecast period

The optical satellites segment is expected to account for the largest market share during the forecast period, due to the extensive availability of multispectral and hyperspectral imagery from established satellite constellations including Landsat, Sentinel, PlanetScope, and SPOT that provide the foundational data layers for most agricultural remote sensing applications. Optical satellite imagery captures reflectance in visible, near-infrared, and shortwave infrared wavelengths that enable vegetation index calculation, crop type classification, and biomass estimation across diverse agricultural landscapes and cropping systems. Major satellite operators including Planet Labs, Maxar Technologies, and Airbus Defence and Space have established comprehensive optical imagery archives with global agricultural coverage spanning multiple growing seasons, enabling historical trend analysis and anomaly detection.

The nanosatellites & cubesats segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the nanosatellites and cubesats segment is predicted to witness the highest growth rate, driven by the dramatically reduced launch costs and accelerated deployment timelines enabled by standardized small satellite form factors that are democratizing Earth observation capabilities for agricultural applications. CubeSat constellations operated by companies including Planet Labs and Spire Global are achieving daily global revisit frequencies at price points that were previously impossible with traditional large satellite platforms, enabling unprecedented temporal resolution for crop monitoring and change detection.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, due to advanced precision agriculture infrastructure, high concentration of large-scale commercial farming operations, and substantial venture capital investment in agricultural technology startups developing satellite-based intelligence platforms. The United States maintains the highest adoption rate of satellite crop monitoring across corn, soybean, and wheat production regions that generate significant demand for vegetation index time series and yield prediction services. Canadian prairie grain operations are increasingly utilizing satellite intelligence for crop condition assessment and drought monitoring across vast agricultural landscapes.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, due to massive agricultural production scale across China and India, government smart farming digitization initiatives, and the rapid expansion of commercial farming operations that generate scalable demand for affordable remote monitoring solutions. Chinese government programs promoting digital agriculture are channeling significant investment into satellite-based crop monitoring platforms capable of assessing conditions across millions of hectares for national food security planning and agricultural subsidy verification.

Key players in the market

Some of the key players in Satellite-Based Crop Intelligence Market include Planet Labs PBC, Maxar Technologies Inc., Airbus Defence and Space, Capella Space Corp., ICEYE Oy, BlackSky Technology Inc., Descartes Labs Inc., UP42 GmbH, Hexagon AB, Trimble Inc., Esri Inc., John Deere, CropX Technologies Ltd., IBM Corporation, Orbital Insight Inc., GeoSys, and SatSure Analytics India Pvt. Ltd..

Key Developments:

In June 2026, Planet Labs PBC launched an enhanced daily satellite imagery service for agricultural monitoring featuring improved spectral resolution and automated crop health alert generation for subscribed farming operations.

In May 2026, Maxar Technologies Inc. expanded its agricultural intelligence platform with AI-powered crop type classification and automated field boundary detection capabilities for large-area farm management applications.

In April 2026, ICEYE Oy introduced a commercial synthetic aperture radar crop monitoring service enabling all-weather agricultural intelligence for regions with persistent cloud cover during growing seasons.

Satellite Types Covered:

  • Optical Satellites
  • Synthetic Aperture Radar (SAR) Satellites
  • Weather Satellites
  • Nanosatellites & CubeSats

Solutions Covered:

  • Imagery Services
  • Data Analytics Platforms
  • Crop Monitoring Software
  • Field Mapping Solutions
  • Yield Prediction Solutions
  • Decision Support Systems
  • Professional Services

Applications Covered:

  • Crop Health Monitoring
  • Soil Moisture Analysis
  • Field Mapping
  • Yield Forecasting
  • Drought Monitoring
  • Pest & Disease Detection
  • Agricultural Insurance Assessment

End Users Covered:

  • Commercial Farms
  • Agricultural Cooperatives
  • Government Agricultural Agencies
  • AgriTech Companies
  • Crop Insurance Providers
  • Research Institutes & Universities
  • Other End Users

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global Satellite-Based Crop Intelligence Market, By Satellite Type

  • 5.1 Optical Satellites
  • 5.2 Synthetic Aperture Radar (SAR) Satellites
  • 5.3 Weather Satellites
  • 5.4 Nanosatellites & CubeSats

6 Global Satellite-Based Crop Intelligence Market, By Solution

  • 6.1 Imagery Services
  • 6.2 Data Analytics Platforms
  • 6.3 Crop Monitoring Software
  • 6.4 Field Mapping Solutions
  • 6.5 Yield Prediction Solutions
  • 6.6 Decision Support Systems
  • 6.7 Professional Services

7 Global Satellite-Based Crop Intelligence Market, By Application

  • 7.1 Crop Health Monitoring
  • 7.2 Soil Moisture Analysis
  • 7.3 Field Mapping
  • 7.4 Yield Forecasting
  • 7.5 Drought Monitoring
  • 7.6 Pest & Disease Detection
  • 7.7 Agricultural Insurance Assessment

8 Global Satellite-Based Crop Intelligence Market, By End User

  • 8.1 Commercial Farms
  • 8.2 Agricultural Cooperatives
  • 8.3 Government Agricultural Agencies
  • 8.4 AgriTech Companies
  • 8.5 Crop Insurance Providers
  • 8.6 Research Institutes & Universities
  • 8.7 Other End Users

9 Global Satellite-Based Crop Intelligence Market, By Geography

  • 9.1 North America
    • 9.1.1 United States
    • 9.1.2 Canada
    • 9.1.3 Mexico
  • 9.2 Europe
    • 9.2.1 United Kingdom
    • 9.2.2 Germany
    • 9.2.3 France
    • 9.2.4 Italy
    • 9.2.5 Spain
    • 9.2.6 Netherlands
    • 9.2.7 Belgium
    • 9.2.8 Sweden
    • 9.2.9 Switzerland
    • 9.2.10 Poland
    • 9.2.11 Rest of Europe
  • 9.3 Asia Pacific
    • 9.3.1 China
    • 9.3.2 Japan
    • 9.3.3 India
    • 9.3.4 South Korea
    • 9.3.5 Australia
    • 9.3.6 Indonesia
    • 9.3.7 Thailand
    • 9.3.8 Malaysia
    • 9.3.9 Singapore
    • 9.3.10 Vietnam
    • 9.3.11 Rest of Asia Pacific
  • 9.4 South America
    • 9.4.1 Brazil
    • 9.4.2 Argentina
    • 9.4.3 Colombia
    • 9.4.4 Chile
    • 9.4.5 Peru
    • 9.4.6 Rest of South America
  • 9.5 Rest of the World (RoW)
    • 9.5.1 Middle East
      • 9.5.1.1 Saudi Arabia
      • 9.5.1.2 United Arab Emirates
      • 9.5.1.3 Qatar
      • 9.5.1.4 Israel
      • 9.5.1.5 Rest of Middle East
    • 9.5.2 Africa
      • 9.5.2.1 South Africa
      • 9.5.2.2 Egypt
      • 9.5.2.3 Morocco
      • 9.5.2.4 Rest of Africa

10 Strategic Market Intelligence

  • 10.1 Industry Value Network and Supply Chain Assessment
  • 10.2 White-Space and Opportunity Mapping
  • 10.3 Product Evolution and Market Life Cycle Analysis
  • 10.4 Channel, Distributor, and Go-to-Market Assessment

11 Industry Developments and Strategic Initiatives

  • 11.1 Mergers and Acquisitions
  • 11.2 Partnerships, Alliances, and Joint Ventures
  • 11.3 New Product Launches and Certifications
  • 11.4 Capacity Expansion and Investments
  • 11.5 Other Strategic Initiatives

12 Company Profiling

  • 12.1 Planet Labs PBC
  • 12.2 Maxar Technologies Inc.
  • 12.3 Airbus Defence and Space
  • 12.4 Capella Space Corp.
  • 12.5 ICEYE Oy
  • 12.6 BlackSky Technology Inc.
  • 12.7 Descartes Labs Inc.
  • 12.8 UP42 GmbH
  • 12.9 Hexagon AB
  • 12.10 Trimble Inc.
  • 12.11 Esri Inc.
  • 12.12 John Deere
  • 12.13 CropX Technologies Ltd.
  • 12.14 IBM Corporation
  • 12.15 Orbital Insight Inc.
  • 12.16 GeoSys
  • 12.17 SatSure Analytics India Pvt. Ltd.

List of Tables

  • Table 1 Global Satellite-Based Crop Intelligence Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Satellite-Based Crop Intelligence Market Outlook, By Satellite Type (2023-2034) ($MN)
  • Table 3 Global Satellite-Based Crop Intelligence Market Outlook, By Optical Satellites (2023-2034) ($MN)
  • Table 4 Global Satellite-Based Crop Intelligence Market Outlook, By Synthetic Aperture Radar (SAR) Satellites (2023-2034) ($MN)
  • Table 5 Global Satellite-Based Crop Intelligence Market Outlook, By Weather Satellites (2023-2034) ($MN)
  • Table 6 Global Satellite-Based Crop Intelligence Market Outlook, By Nanosatellites & CubeSats (2023-2034) ($MN)
  • Table 7 Global Satellite-Based Crop Intelligence Market Outlook, By Solution (2023-2034) ($MN)
  • Table 8 Global Satellite-Based Crop Intelligence Market Outlook, By Imagery Services (2023-2034) ($MN)
  • Table 9 Global Satellite-Based Crop Intelligence Market Outlook, By Data Analytics Platforms (2023-2034) ($MN)
  • Table 10 Global Satellite-Based Crop Intelligence Market Outlook, By Crop Monitoring Software (2023-2034) ($MN)
  • Table 11 Global Satellite-Based Crop Intelligence Market Outlook, By Field Mapping Solutions (2023-2034) ($MN)
  • Table 12 Global Satellite-Based Crop Intelligence Market Outlook, By Yield Prediction Solutions (2023-2034) ($MN)
  • Table 13 Global Satellite-Based Crop Intelligence Market Outlook, By Decision Support Systems (2023-2034) ($MN)
  • Table 14 Global Satellite-Based Crop Intelligence Market Outlook, By Professional Services (2023-2034) ($MN)
  • Table 15 Global Satellite-Based Crop Intelligence Market Outlook, By Application (2023-2034) ($MN)
  • Table 16 Global Satellite-Based Crop Intelligence Market Outlook, By Crop Health Monitoring (2023-2034) ($MN)
  • Table 17 Global Satellite-Based Crop Intelligence Market Outlook, By Soil Moisture Analysis (2023-2034) ($MN)
  • Table 18 Global Satellite-Based Crop Intelligence Market Outlook, By Field Mapping (2023-2034) ($MN)
  • Table 19 Global Satellite-Based Crop Intelligence Market Outlook, By Yield Forecasting (2023-2034) ($MN)
  • Table 20 Global Satellite-Based Crop Intelligence Market Outlook, By Drought Monitoring (2023-2034) ($MN)
  • Table 21 Global Satellite-Based Crop Intelligence Market Outlook, By Pest & Disease Detection (2023-2034) ($MN)
  • Table 22 Global Satellite-Based Crop Intelligence Market Outlook, By Agricultural Insurance Assessment (2023-2034) ($MN)
  • Table 23 Global Satellite-Based Crop Intelligence Market Outlook, By End User (2023-2034) ($MN)
  • Table 24 Global Satellite-Based Crop Intelligence Market Outlook, By Commercial Farms (2023-2034) ($MN)
  • Table 25 Global Satellite-Based Crop Intelligence Market Outlook, By Agricultural Cooperatives (2023-2034) ($MN)
  • Table 26 Global Satellite-Based Crop Intelligence Market Outlook, By Government Agricultural Agencies (2023-2034) ($MN)
  • Table 27 Global Satellite-Based Crop Intelligence Market Outlook, By AgriTech Companies (2023-2034) ($MN)
  • Table 28 Global Satellite-Based Crop Intelligence Market Outlook, By Crop Insurance Providers (2023-2034) ($MN)
  • Table 29 Global Satellite-Based Crop Intelligence Market Outlook, By Research Institutes & Universities (2023-2034) ($MN)
  • Table 30 Global Satellite-Based Crop Intelligence Market Outlook, By Other End Users (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) Regions are also represented in the same manner as above.