农业分析市场规模、份额和成长分析（按产品、农场类型、农场规模和地区划分）－产业预测，2026-2033年

预计到 2024 年，农业分析市场价值将达到 15.4 亿美元，到 2025 年将成长至 17.4 亿美元，到 2033 年将成长至 47 亿美元，在预测期（2026-2033 年）内复合年增长率为 13.2%。

农业部门正日益利用巨量资料、人工智慧、云端运算和物联网 (IoT) 等先进技术来提升农业流程（包括作物和牲畜管理）的管理和自动化水平。这项转变的主要驱动力是应对人口快速成长所带来的全球粮食需求激增。随着都市化、水资源短缺和气候变迁导致耕地面积减少，人们对城市农业和垂直农业等创新解决方案的兴趣日益浓厚，以应对这些挑战。农业分析解决方案需求旺盛，因为它们能够提供关于土地利用优化、土壤状况、田间规划、育种和灌溉的关键信息，从而减少损失并支持高质量作物的生产。

农业分析市场驱动因素

人工智慧在农业领域的应用主要受制于取得精准田间资料的高昂成本。实施人工智慧资料收集技术通常需要对先进的农业设备、熟练人员和专业培训进行大量前期投资，这使得农民不愿意采用这些技术。有效利用变数施肥技术需要对GPS系统、无人机和地理资讯系统（GIS）进行大量投资。此外，成本不仅限于设备本身，还包括用于获取精确地理资讯的昂贵资料收集方法以及正确资料管理所需的培训。配备GPS功能的无人机和自动驾驶拖拉机的高昂价格进一步阻碍了其广泛应用。

农业分析市场限制因素

取得精准田间资料的高成本是人工智慧在农业领域应用的一大障碍。由于前期投入庞大，农民往往不愿意采用人工智慧技术进行精准数据采集。这不仅包括购买先进的农业设备，还包括聘请熟练的操作人员和训练有素的人员。此外，将卫星和GPS资料整合到变数施肥技术中，还需要对无人机和地理资讯系统（GIS）等工具进行大量投资。地理资料收集的高昂成本以及有效资料管理所需的培训费用，进一步加重了农民采用人工智慧解决方案的负担。

农业分析市场趋势

农业分析市场正经历一个显着的趋势：物联网设备在解决作物管理和牲畜健康等各种农业难题方面发挥关键作用。这些设备用于监测作物的繁殖力并优化育种过程，从而提高农民的生产力和盈利，而农民对育种的成功率有着极高的依赖。此外，人工智慧在资料收集和分析中的应用正成为一项根本性的变革，它为农民提供可操作的洞察和预测能力，从而帮助他们做出明智的决策。这种对先进分析技术的日益依赖有望改变农业实践，并促进更有效率、更永续的农场运作。

目录

介绍

• 调查目标
• 调查范围
• 定义

调查方法

• 资讯收集
• 二手资料和一手资料方法
• 市场规模预测
• 市场假设与限制

执行摘要

• 全球市场展望
• 供需趋势分析
• 细分市场机会分析

市场动态与展望

• 市场规模
• 市场动态
  • 驱动因素和机会
  • 限制与挑战
• 波特的分析和影响

关键市场考察

• 关键成功因素
• 竞争程度
• 关键投资机会
• 市场生态系统
• 技术进步
• 监管环境
• 专利分析
• 价值链分析
• 案例研究分析
• 客户和购买标准分析
• PESTEL 分析
• 市场吸引力指数

全球农业分析市场规模（依产品/服务划分）及复合年增长率（2026-2033 年）

• 解决方案
• 服务
  • 专业服务
  • 培训和咨询
  • 系统整合与实施
  • 支援与维护
  • 託管服务
  • 农场管理服务
  • 资讯服务
  • 分析服务

全球农业分析市场规模（按农场类型和复合年增长率划分）（2026-2033 年）

• 精密农业
• 产量监测
• 田间测绘
• 作物巡查
• 气象追踪与预报
• 灌溉管理
• 库存管理
• 农业劳动力管理
• 家畜
• 挤乳
• 育种管理
• 饲餵管理
• 动物舒适管理
• 其他的
• 水产养殖
  • 鱼类追踪和渔船导航
  • 饲餵管理
  • 水质管理
  • 品管和可追溯性
  • 其他水产养殖
• 垂直农业
• 其他农业形式

全球农业分析市场规模（按农场规模和复合年增长率划分）（2026-2033 年）

• 中小农场
• 大型农场

全球农业分析市场规模（依技术及复合年增长率划分）（2026-2033 年）

• 遥感探测和卫星影像
• 地理资讯系统
• 机器人与自动化
• 巨量资料和云端运算
• 视觉化和报告
• 区块链技术
• 其他技术

全球农业分析市场规模（按最终用户和复合年增长率划分）（2026-2033 年）

• 农民
• 农学家
• 农业相关企业
• 农业研究员
• 政府机构
• 其他最终用户

全球农业分析市场规模及复合年增长率（2026-2033）

• 北美洲
  • 美国
  • 加拿大
• 欧洲
  • 英国
  • 德国
  • 西班牙
  • 法国
  • 义大利
  • 其他欧洲
• 亚太地区
  • 中国
  • 印度
  • 日本
  • 韩国
  • 亚太其他地区
• 拉丁美洲
  • 巴西
  • 其他拉丁美洲
• 中东和非洲
  • 海湾合作委员会国家
  • 南非
  • 其他中东和非洲地区

竞争资讯

• 前五大公司对比
• 主要企业的市场定位（2025 年）
• 主要市场参与者所采取的策略
• 近期市场趋势
• 公司市占率分析（2025 年）
• 主要企业公司简介
  • 公司详情
  • 产品系列分析
  • 依业务板块进行公司股票分析
  • 2021-2023年营收年比比较

主要企业简介

• 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

结论与建议

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