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精密农业

市场调查报告书

商品编码

1732159

2026 年至 2032 年农业分析市场（按组件、农场规模、部署和地区划分）

Agriculture Analytics Market By Component (Solutions, Services), Farm Size (Medium-Sized Farms, Small Farms), Deployment (Cloud-Based, On-Premise) & Region for 2026-2032

出版日期: 2025年04月29日 | 出版商:

Verified Market Research | 英文 202 Pages | 商品交期: 2-3个工作天内

价格

简介目录

2026-2032年农业分析市场评估

由于对数据主导解决方案的需求不断增加以提高农业生产力和效率，农业分析市场的需求正在快速增长。随着全球人口的成长以及由此造成的粮食供应压力，农民正在转向人工智慧 (AI)、机器学习 (ML) 和物联网 (IoT) 等先进技术来优化作物产量、有效管理资源并降低营运成本。预计2024年市场规模将超过12.3亿美元，2032年将达34.6亿美元。

这些分析平台透过洞察天气模式、土壤健康、病虫害和作物生长情况，实现更好的决策，从而实现更智慧的农业技术和永续的农业实践。由于对具有成本效益和高效的农业分析的需求不断增加，市场从 2026 年到 2032 年的复合年增长率为 15.17%。

农业分析市场定义/概述

农业分析是指应用数据分析工具和技术来改善农业实践、生产力和效率。它涉及收集和分析来自各种资讯来源的数据，包括天气模式、土壤条件、作物产量和市场趋势。透过利用人工智慧 (AI)、机器学习 (ML)、卫星影像和感测器等技术，农业分析可以帮助农民就种植、灌溉、施肥和病虫害防治做出明智的决策。这种数据主导的方法可以实现精密农业，优化资源利用并减少浪费。

随着农业产业不断拥抱数位转型，农业分析正在不断扩展。随着物联网 (IoT) 设备和无人机的普及，世界各地的农民将更容易获得即时监控和预测分析。这将带来更永续的农业实践、更高的产量和更好的资源管理。随着世界人口的成长，农业分析将在解决粮食安全挑战中发挥关键作用，帮助农民满足增加粮食产量的需求，同时最大限度地减少对环境的影响。区块链技术与先进数据分析工具的结合可以提高供应链透明度，从而进一步提高农业部门的效率。

精密农业的日益普及会推动农业分析市场的发展吗？

精密农业的日益普及正在推动农业分析市场的发展。 2010 年至 2020 年间，美国玉米农场使用基于 GPS 的土壤测绘的比例从 20% 增加到 40%，凸显了对数据驱动决策工具的需求日益增长。精密农业技术依靠详细的即时数据来优化水、肥料和农药等投入，提高生产力和永续性。随着农民寻求提高效率和降低成本，对处理和解释这些数据的高级分析的需求正在推动农业分析市场的成长。

全球粮食需求的不断增长正在推动农业分析市场的发展。随着世界人口的增加，提高农业生产力的需求变得越来越重要。根据粮农组织预测，2050年粮食产量需要增加60%，这将对农民和相关企业带来巨大压力。为了满足这一需求，农民和农业相关企业越来越多地采用农业分析来提高作物产量、优化主导管理并做出对大规模永续粮食生产至关重要的数据驱动决策。

数据品质和可用性是否会阻碍农业分析市场的成长？

数据品质和可用性可能会阻碍农业分析市场的成长。不一致或不完整的数据会导致不准确的见解，从而限制预测分析、决策和效益优化的有效性。物联网、卫星图像和精密农业技术的进步正在透过增强数据收集能力并确保更可靠、更全面的分析数据来推动市场成长。

实施农业分析解决方案所涉及的成本和复杂性可能会阻碍市场成长。技术、基础设施和熟练人力的高额初始投资，加上整合不同资料来源的复杂性，可能会阻碍小型农场和相关人员的发展。然而，农业数位转型的动力，以及云端基础的解决方案和政府措施的进步，正在透过降低成本和简化实施来推动市场成长。

The demand for the agriculture analytics market is rising rapidly due to the growing need for data-driven solutions to enhance farm productivity and efficiency. With increasing global population and the subsequent pressure on food supply, farmers are turning to advanced technologies like artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) to optimize crop yields, manage resources efficiently, and reduce operational costs. The market size surpass USD 1.23 Billion valued in 2024 to reach a valuation of around USD 3.46 Billion by 2032.

These analytics platforms enable better decision-making through insights into weather patterns, soil health, pest infestations, and crop performance, resulting in smarter farming techniques and sustainable agricultural practices. The rising demand for cost-effective and efficient agriculture analytics is enabling the market grow at a CAGR of 15.17% from 2026 to 2032.

Agriculture Analytics Market: Definition/ Overview

Agriculture analytics refers to the application of data analysis tools and techniques to improve farming practices, productivity, and efficiency. It involves gathering and analyzing data from various sources such as weather patterns, soil conditions, crop yields, and market trends. By using technologies like artificial intelligence (AI), machine learning (ML), satellite imagery, and sensors, agriculture analytics helps farmers make informed decisions about planting, irrigation, fertilization, and pest control. This data-driven approach allows for precision farming, optimizing the use of resources and reducing waste.

Agriculture analytics is vast as the agricultural industry continues to embrace digital transformation. With the increasing adoption of IoT (Internet of Things) devices and drones, real-time monitoring and predictive analytics will become more accessible to farmers globally. This will lead to more sustainable farming practices, higher yields, and better resource management. As the global population grows, agriculture analytics will play a critical role in addressing food security challenges, helping farmers meet the demand for increased food production while minimizing environmental impacts. The integration of blockchain technology for supply chain transparency and advanced data analytics tools will further enhance the efficiency of the agricultural sector.

Will the Increasing Adoption of Precision Agriculture Fuel the Agriculture Analytics Market?

The increasing adoption of precision agriculture is fueling the agriculture analytics market. The use of GPS-based soil mapping, which grew from 20% to 40% of U.S. corn farms between 2010 and 2020, highlights the rising demand for data-driven decision-making tools. Precision agriculture techniques rely on detailed, real-time data to optimize inputs like water, fertilizer, and pesticides, enhancing productivity and sustainability. As farmers seek to improve efficiency and reduce costs, the need for advanced analytics to process and interpret this data is driving the growth of the agriculture analytics market.

Rising global food demand is fueling the agriculture analytics market. As the global population grows, the need to boost agricultural productivity becomes critical. According to the FAO, food production must increase by 60% by 2050, placing immense pressure on farmers and agribusinesses. To meet this demand, they are increasingly adopting agriculture analytics to enhance crop yields, optimize resource management, and make data-driven decisions, all of which are essential for sustainable food production at scale.

Will the Data Quality and Availability Hamper the Growth of the Agriculture Analytics Market?

Data quality and availability can hamper the growth of the agriculture analytics market. Inconsistent or incomplete data can lead to inaccurate insights, limiting the effectiveness of predictive analytics, decision-making, and yield optimization. Improvements in IoT, satellite imagery, and precision farming technologies are driving market growth by enhancing data collection capabilities and ensuring more reliable and comprehensive data for analysis.

The cost and complexity of implementing agriculture analytics solutions can hamper market growth. High initial investments in technology, infrastructure, and skilled personnel, along with the complexity of integrating diverse data sources, may deter smaller farms and stakeholders. However, the push for digital transformation in agriculture, along with advancements in cloud-based solutions and government initiatives, is driving market growth by reducing costs and simplifying adoption.

Category-Wise Acumens

Will the Increased Efficiency and Productivity Propel the Solutions Segment for the Agriculture Analytics Market?

The solutions segment is dominating the agriculture analytics market. Increased efficiency and productivity are expected to propel the solutions segment in the agriculture analytics market. As farms adopt advanced analytics tools, they can optimize resource use, improve crop yields, and reduce operational costs. This demand for data-driven solutions is driven by the need to manage large-scale farming operations more efficiently, address climate variability, and meet the growing food demand. Solutions that provide actionable insights allow farmers to make informed decisions, enhancing overall productivity and sustainability.

Cost-effectiveness is likely to propel the solutions segment in the agriculture analytics market. This is because advanced analytics solutions help farmers optimize resources, reduce waste, and enhance productivity, all while lowering operational costs. As agricultural operations become more data-driven, affordable and efficient solutions are increasingly attractive, especially for small and mid-sized farms that need to balance performance with budget constraints.

Will the Balance of Scale and Adaptability Promote the Medium-Sized Farms Segment for the Agriculture Analytics Market?

The medium-Sized farms segment is dominating in the agriculture analytics market. The balance of scale and adaptability will likely promote the medium-sized farms segment in the agriculture analytics market. Medium-sized farms offer a unique advantage by having enough scale to benefit from advanced analytics while maintaining the flexibility to quickly implement and adapt new technologies. This balance enables them to optimize production, reduce costs, and respond to changing market conditions more effectively than larger, less nimble operations or smaller farms with fewer resources. As a result, medium-sized farms are well-positioned to benefit from agriculture analytics, driving growth in this segment.

Receptiveness to innovation will likely promote the medium-sized farms segment in the agriculture analytics market. Medium-sized farms are more agile than large-scale operations and have greater capacity than small farms to invest in new technologies. Their willingness to adopt innovative analytics tools allows them to optimize yields, manage resources efficiently, and stay competitive, driving growth in this segment.

Country/Region-wise Acumens

Will the Rapid Adoption of Precision Agriculture Technologies Accelerate the North American Region for Agriculture Analytics Market?

North America's dominance in the agriculture analytics market. The rapid adoption of precision agriculture technologies is accelerating the agriculture analytics market in North America. According to the USDA, adoption of these technologies in the U.S. has surged from 30% in 2010 to over 70% in 2023, with further growth expected. This widespread adoption is driving market expansion by enabling farmers to gather more accurate data, improve resource management, and optimize crop yields, making analytics tools more essential for modern farming practices.

Increasing concerns about food security and sustainable farming practices are accelerating the agriculture analytics market in North America. The FAO projects that global food production needs to rise by 70% by 2050, putting pressure on North American farmers to optimize their operations. This demand for greater efficiency and sustainability is driving the adoption of data-driven agricultural solutions, helping farmers maximize yields while minimizing resource use, thus fueling the growth of agriculture analytics in the region.

Will the Government Initiatives Escalate the Asia Pacific Region for the Agriculture Analytics Market?

Asia Pacific is rapidly growing in the agriculture analytics market due to several factors. Government initiatives are significantly driving the growth of the agriculture analytics market in the Asia Pacific region. For instance, India's Digital Agriculture Mission aims to integrate digital technologies into farming, targeting 100 million farmers by 2025. By 2023, over 50 million farmers have already benefited from such initiatives, demonstrating the potential for widespread adoption and the expansion of agriculture analytics across the region.

Climate change is accelerating the growth of the agriculture analytics market in the Asia Pacific region. A study published in Nature Climate Change predicts a potential 20% decrease in crop yields in Southeast Asia by 2050, driving the need for predictive analytics to manage risks. This urgency for data-driven strategies is pushing farmers and governments to adopt advanced analytics for climate adaptation and crop management.

Competitive Landscape

The agriculture analytics market is a dynamic and competitive space, characterized by a diverse range of players vying for market share. These players are on the run for solidifying their presence through the adoption of strategic plans such as collaborations, mergers, acquisitions, and political support.

The organizations are focusing on innovating their product line to serve the vast population in diverse regions. Some of the prominent players operating in the agriculture analytics market include:

IBM
SAP SE
Deere & Company
Oracle
Trimble
Accenture
Monsanto
Taranis
Agrivi

Latest Developments

In January 2023 Nutrien Ag Solutions announced their partnership with John Deere who are global farm equipment providers. This will help in optimizing logistics of both companies toward serving growers better as expected of them.
In October 2022, AGDATA was purchased by Levine Leichtman Capital, thus enabling it to offer workflow solutions together with data within the agribusiness and animal health sectors.

1 INTRODUCTION OF GLOBAL AGRICULTURE ANALYTICS MARKET

1.1 Overview of the Market
1.2 Scope of Report
1.3 Assumptions

2 EXECUTIVE SUMMARY

3 RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH

3.1 Data Mining
3.2 Validation
3.3 Primary Interviews
3.4 List of Data Sources

4 GLOBAL AGRICULTURE ANALYTICS MARKET OUTLOOK

4.1 Overview
4.2 Market Dynamics
- 4.2.1 Drivers
- 4.2.2 Restraints
- 4.2.3 Opportunities
4.3 Porters Five Force Model
4.4 Value Chain Analysis

5 GLOBAL AGRICULTURE ANALYTICS MARKET, BY DEPLOYMENT TYPE

5.1 Overview
5.2 Cloud
5.3 On-Premises

6 GLOBAL AGRICULTURE ANALYTICS MARKET, BY COMPONENT

6.1 Overview
6.2 Solution
6.3 Services

7 GLOBAL AGRICULTURE ANALYTICS MARKET, BY FARM SIZE

7.1 Overview
7.2 Medium-Sized Farms
7.3 Small Farms

8 GLOBAL AGRICULTURE ANALYTICS MARKET, BY GEOGRAPHY

8.1 Overview
8.2 North America
- 8.2.1 U.S.
- 8.2.2 Canada
- 8.2.3 Mexico
8.3 Europe
- 8.3.1 Germany
- 8.3.2 U.K.
- 8.3.3 France
- 8.3.4 Rest of Europe
8.4 Asia Pacific
- 8.4.1 China
- 8.4.2 Japan
- 8.4.3 India
- 8.4.4 Rest of Asia Pacific
8.5 Rest of the World
- 8.5.1 Latin America
- 8.5.2 Middle East & Africa

9 GLOBAL AGRICULTURE ANALYTICS MARKET COMPETITIVE LANDSCAPE

9.1 Overview
9.2 Company Market Ranking
9.3 Key Development Strategies

10 COMPANY PROFILES

10.1 IBM
- 10.1.1 Overview
- 10.1.2 Financial Performance
- 10.1.3 Product Outlook
- 10.1.4 Key Developments
10.2 SAP SE
- 10.2.1 Overview
- 10.2.2 Financial Performance
- 10.2.3 Product Outlook
- 10.2.4 Key Developments
10.3 Deere & Company
- 10.3.1 Overview
- 10.3.2 Financial Performance
- 10.3.3 Product Outlook
- 10.3.4 Key Developments
10.4 Oracle
- 10.4.1 Overview
- 10.4.2 Financial Performance
- 10.4.3 Product Outlook
- 10.4.4 Key Developments
10.5 Trimble
- 10.5.1 Overview
- 10.5.2 Financial Performance
- 10.5.3 Product Outlook
- 10.5.4 Key Developments
10.6 Accenture
- 10.6.1 Overview
- 10.6.2 Financial Performance
- 10.6.3 Product Outlook
- 10.6.4 Key Developments