農業分析市場規模、佔有率和成長分析（按產品、農場類型、農場規模和地區分類）－產業預測，2026-2033年

預計到 2024 年，農業分析市場價值將達到 15.4 億美元，到 2025 年將成長至 17.4 億美元，到 2033 年將成長至 47 億美元，在預測期（2026-2033 年）內複合年成長率為 13.2%。

農業部門正日益利用巨量資料、人工智慧、雲端運算和物聯網 (IoT) 等先進技術來提升農業流程（包括作物和牲畜管理）的管理和自動化水平。這項轉變的主要驅動力是應對人口快速成長所帶來的全球糧食需求激增。隨著都市化、水資源短缺和氣候變遷導致耕地面積減少，人們對城市農業和垂直農業等創新解決方案的興趣日益濃厚，以應對這些挑戰。農業分析解決方案需求旺盛，因為它們能夠提供關於土地利用最佳化、土壤狀況、田間規劃、育種和灌溉的關鍵資訊，從而減少損失並支持高質量作物的生產。

農業分析市場促進因素

人工智慧在農業領域的應用主要受制於取得精準田間資料的高昂成本。實施人工智慧資料收集技術通常需要對先進的農業設備、熟練人員和專業培訓進行大量前期投資，這使得農民不願意採用這些技術。有效利用變數施肥技術需要對GPS系統、無人機和地理資訊系統（GIS）進行大量投資。此外，成本不僅限於設備本身，還包括用於獲取精確地理資訊的昂貴資料收集方法以及正確資料管理所需的培訓。配備GPS功能的無人機和自動駕駛曳引機的高昂價格進一步阻礙了其廣泛應用。

農業分析市場限制因素

取得精準田間資料的高成本是人工智慧在農業領域應用的一大障礙。由於前期投入龐大，農民往往不願意採用人工智慧技術進行精準數據採集。這不僅包括購買先進的農業設備，還包括聘請熟練的操作人員和訓練有素的人員。此外，將衛星和GPS資料整合到變數施肥技術中，還需要對無人機和地理資訊系統（GIS）等工具進行大量投資。地理資料收集的高昂成本以及有效資料管理所需的培訓費用，進一步加重了農民採用人工智慧解決方案的負擔。

農業分析市場趨勢

農業分析市場正經歷一個顯著的趨勢：物聯網設備在解決作物管理和牲畜健康等各種農業難題方面發揮關鍵作用。這些設備用於監測作物的繁殖力並最佳化育種過程，從而提高農民的生產力和盈利，而農民對育種的成功率有著極高的依賴。此外，人工智慧在資料收集和分析中的應用正成為一項根本性的變革，它為農民提供可操作的洞察和預測能力，從而幫助他們做出明智的決策。這種對先進分析技術的日益依賴有望改變農業實踐，並促進更有效率、更永續的農場運作。

目錄

介紹

• 調查目標
• 調查範圍
• 定義

調查方法

• 資訊收集
• 二手資料和一手資料方法
• 市場規模預測
• 市場假設與限制

執行摘要

• 全球市場展望
• 供需趨勢分析
• 細分市場機會分析

市場動態與展望

• 市場規模
• 市場動態
  • 促進因素和機遇
  • 限制與挑戰
• 波特的分析和影響

關鍵市場考察

• 關鍵成功因素
• 競爭程度
• 關鍵投資機會
• 市場生態系統
• 技術進步
• 監管環境
• 專利分析
• 價值鏈分析
• 案例研究分析
• 客戶和購買標準分析
• PESTEL 分析
• 市場吸引力指數

全球農業分析市場規模（依產品/服務分類）及複合年成長率（2026-2033 年）

• 解決方案
• 服務
  • 專業服務
  • 培訓和諮詢
  • 系統整合與實施
  • 支援與維護
  • 託管服務
  • 農場管理服務
  • 資訊服務
  • 分析服務

全球農業分析市場規模（按農場類型和複合年成長率分類）（2026-2033 年）

• 精密農業
• 產量監測
• 田間測繪
• 作物巡查
• 氣象追蹤與預報
• 灌溉管理
• 庫存管理
• 農業勞動力管理
• 家畜
• 擠乳
• 育種管理
• 飼餵管理
• 動物舒適管理
• 其他
• 水產養殖
  • 魚類追蹤和漁船導航
  • 飼餵管理
  • 水質管理
  • 品管和可追溯性
  • 其他水產養殖
• 垂直農業
• 其他農業形式

全球農業分析市場規模（按農場規模和複合年成長率分類）（2026-2033 年）

• 中小農場
• 大型農場

全球農業分析市場規模（依技術及複合年成長率分類）（2026-2033 年）

• 遙感探測和衛星影像
• 地理資訊系統
• 機器人與自動化
• 巨量資料和雲端運算
• 視覺化和報告
• 區塊鏈技術
• 其他技術

全球農業分析市場規模（按最終用戶和複合年成長率分類）（2026-2033 年）

• 農民
• 農學家
• 農業相關企業
• 農業研究員
• 政府機構
• 其他最終用戶

全球農業分析市場規模及複合年成長率（2026-2033）

• 北美洲
  • 美國
  • 加拿大
• 歐洲
  • 英國
  • 德國
  • 西班牙
  • 法國
  • 義大利
  • 其他歐洲
• 亞太地區
  • 中國
  • 印度
  • 日本
  • 韓國
  • 亞太其他地區
• 拉丁美洲
  • 巴西
  • 其他拉丁美洲
• 中東和非洲
  • 海灣合作理事會國家
  • 南非
  • 其他中東和非洲地區

競爭資訊

• 前五大公司對比
• 主要企業的市場定位（2025 年）
• 主要市場參與者所採取的策略
• 近期市場趨勢
• 公司市佔率分析（2025 年）
• 主要企業公司簡介
  • 公司詳情
  • 產品系列分析
  • 依業務板塊進行公司股票分析
  • 2021-2023年營收年比比較

主要企業簡介

• IBM
• Deere & Company
• Bayer AG
• SAP
• Trimble Inc
• Accenture
• Abaco Group
• Delaval
• Oracle
• DTN
• Farmers Edge
• SAS Institute
• Iteris
• PrecisionHawk
• AgEye Technologies
• Trace Genomics
• CropX
• Agrivi
• Taranis
• FBN

結論與建議

Agriculture Analytics Market size was valued at USD 1.54 Billion in 2024 and is poised to grow from USD 1.74 Billion in 2025 to USD 4.7 Billion by 2033, growing at a CAGR of 13.2% during the forecast period (2026-2033).

The agriculture sector is increasingly leveraging advanced technologies like big data, artificial intelligence, cloud computing, and the Internet of Things to enhance the management and automation of farming processes, including crop and livestock management. This shift is largely a response to the surging global food demand driven by rapid population growth. With arable land becoming scarce due to urbanization, water scarcity, and climate change, there's a notable push towards innovative solutions such as urban and vertical farming to address these challenges. Agriculture analytics solutions are in high demand as they optimize land usage, providing crucial insights into soil conditions, field planning, breeding, and irrigation. This leads to reduced losses and supports the production of high-quality crops.

Top-down and bottom-up approaches were used to estimate and validate the size of the Agriculture Analytics market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Agriculture Analytics Market Segments Analysis

Global Agriculture Analytics Market is segmented by Offering, Agriculture Type, Farm Size, Technology, End Users, and region. Based on Offering, the market is segmented into Solutions, Services. Based on Agriculture Type, the market is segmented into Precision Farming, Livestock Farming, Aquaculture Farming, Vertical Farming, and Other Agriculture Type. Based on Farm Size, the market is segmented into Small and Medium-sized Farms, Large Farms. Based on Technology, the market is segmented into Remote Sensing and Satellite Imagery, Geographic Information System, Robotics and Automation, Big Data and Cloud Computing, Visualization and Reporting, Blockchain Technology, and Other Technology. Based on End Users, the market is segmented into Farmers, Agronomists, Agribusinesses, Agricultural Researchers, Government Agencies, Other End Users. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & and Africa.

Driver of the Agriculture Analytics Market

The adoption of AI in the agriculture sector faces significant challenges primarily due to the high expenses associated with acquiring precise field data. Farmers often exhibit reluctance to embrace AI technologies for data gathering, as this typically requires substantial initial investments in advanced farming equipment, skilled personnel, and specialized training. To effectively utilize variable rate application technologies, they must invest heavily in GPS systems, drones, and geographic information systems (GIS). Additionally, the costs extend beyond equipment, encompassing expensive data collection methods for accurate geographic information and the necessary training for proper data management. The high price tags attached to drones and autonomous tractors equipped with GPS further hinder widespread adoption.

Restraints in the Agriculture Analytics Market

The high costs associated with obtaining precise field data present a significant obstacle to the adoption of AI in agriculture. Farmers often exhibit reluctance to embrace AI technologies for accurate data collection due to the substantial initial investments required. This encompasses not only funding for advanced farming equipment but also the necessity for skilled operators and well-trained personnel. Furthermore, the integration of satellite and GPS data for variable rate application technologies demands hefty investments in tools like drones and geographic information systems (GIS). Additional expenses arise from costly geographical data collection and the necessary training for effective data management, which can further deter farmers from using AI solutions.

Market Trends of the Agriculture Analytics Market

The Agriculture Analytics market is experiencing a significant trend where IoT devices increasingly play a crucial role in addressing various agricultural challenges related to crop management and livestock health. These devices are utilized for monitoring fertility and optimizing breeding processes, thereby enhancing productivity and profitability for farmers who heavily depend on breeding success. Additionally, the integration of artificial intelligence in data collection and analysis has emerged as a fundamental shift, offering farmers actionable insights and predictive capabilities that can drive informed decision-making. This growing reliance on advanced analytics is set to transform farming practices, fostering more efficient and sustainable agricultural operations.

Table of Contents

Introduction

• Objectives of the Study
• Scope of the Report
• Definitions

Research Methodology

• Information Procurement
• Secondary & Primary Data Methods
• Market Size Estimation
• Market Assumptions & Limitations

Executive Summary

• Global Market Outlook
• Supply & Demand Trend Analysis
• Segmental Opportunity Analysis

Market Dynamics & Outlook

• Market Overview
• Market Size
• Market Dynamics
  • Driver & Opportunities
  • Restraints & Challenges
• Porters Analysis & Impact
  • Competitive rivalry
  • Threat of substitute
  • Bargaining power of buyers
  • Threat of new entrants
  • Bargaining power of suppliers

Key Market Insights

• Key Success Factors
• Degree of Competition
• Top Investment Pockets
• Market Ecosystem
• Technological Advancement
• Regulatory Landscape
• Patent Analysis
• Value Chain Analysis
• Case Study Analysis
• Customer & Buying Criteria Analysis
• PESTEL Analysis
• Market Attractiveness Index

Global Agriculture Analytics Market Size by Offering & CAGR (2026-2033)

• Market Overview
• Solutions
• Services
  • Professional Services
  • Training and Consulting
  • System Integration and Implementation
  • Support and Maintenance
  • Managed Services
  • Farm operation services
  • Data services
  • Analytics Services

Global Agriculture Analytics Market Size by Agriculture Type & CAGR (2026-2033)

• Market Overview
• Precision Farming
• Yield Monitoring
• Field Mapping
• Crop Scouting
• Weather Tracking & Forecasting
• Irrigation Management
• Inventory Management
• Farm Labor Management
• Livestock Farming
• Milk Harvesting
• Breeding Management
• Feeding Management
• Animal Comfort Management
• Others
• Aquaculture Farming
  • Fish Tracking and Fleet Navigation
  • Feeding Management
  • Water Quality Management
  • Quality Control and Traceability
  • Other Aquaculture Farming
• Vertical Farming
• Other Agriculture Type

Global Agriculture Analytics Market Size by Farm Size & CAGR (2026-2033)

• Market Overview
• Small And Medium-sized Farms
• Large Farms

Global Agriculture Analytics Market Size by Technology & CAGR (2026-2033)

• Market Overview
• Remote Sensing and Satellite Imagery
• Geographic Information System
• Robotics and Automation
• Big Data and Cloud Computing
• Visualization and Reporting
• Blockchain Technology
• Other Technology

Global Agriculture Analytics Market Size by End Users & CAGR (2026-2033)

• Market Overview
• Farmers
• Agronomists
• Agribusinesses
• Agricultural Researchers
• Government Agencies
• Other End Users

Global Agriculture Analytics Market Size & CAGR (2026-2033)

• North America, (Offering, Agriculture Type, Farm Size, Technology, End Users)
  • US
  • Canada
• Europe, (Offering, Agriculture Type, Farm Size, Technology, End Users)
  • UK
  • Germany
  • Spain
  • France
  • Italy
  • Rest of Europe
• Asia-Pacific, (Offering, Agriculture Type, Farm Size, Technology, End Users)
  • China
  • India
  • Japan
  • South Korea
  • Rest of Asia Pacific
• Latin America, (Offering, Agriculture Type, Farm Size, Technology, End Users)
  • Brazil
  • Rest of Latin America
• Middle East & Africa, (Offering, Agriculture Type, Farm Size, Technology, End Users)
  • GCC Countries
  • South Africa
  • Rest of Middle East & Africa

Competitive Intelligence

• Top 5 Player Comparison
• Market Positioning of Key Players, 2025
• Strategies Adopted by Key Market Players
• Recent Developments in the Market
• Company Market Share Analysis, 2025
• Company Profiles of All Key Players
  • Company Details
  • Product Portfolio Analysis
  • Company's Segmental Share Analysis
  • Revenue Y-O-Y Comparison (2021-2023)

Key Company Profiles

• IBM
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Deere & Company
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Bayer AG
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• SAP
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Trimble Inc
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Accenture
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Abaco Group
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Delaval
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Oracle
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• DTN
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Farmers Edge
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• SAS Institute
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Iteris
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• PrecisionHawk
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• AgEye Technologies
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Trace Genomics
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• CropX
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Agrivi
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Taranis
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• FBN
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments

Conclusion & Recommendation