首頁 > 市場調查報告書 > 工業機械

精密農業

市場調查報告書

商品編碼

1732159

農業分析市場：依組件、農場規模、部署和地區，2026-2032年

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個工作天內

價格

簡介目錄

2026-2032年農業分析市場評估

由於對資料主導解決方案的需求不斷增加以提高農業生產力和效率，農業分析市場的需求快速成長。隨著全球人口的成長以及由此造成的糧食供應壓力，農民轉向人工智慧（AI）、機器學習（ML）和物聯網（IoT）等先進技術來最佳化作物產量、有效管理資源並降低營運成本。預計2024年市場規模將超過12.3億美元，2032年將達34.6億美元。

這些分析平台透過洞察天氣模式、土壤健康、病蟲害和作物生長情況，實現更好的決策，實現更智慧的農業技術和永續的農業實踐。由於對具有成本效益和高效的農業分析的需求不斷增加，市場從2026年到2032年的年複合成長率為 15.17%。

農業分析市場定義/概述

農業分析是指應用資料分析工具和技術來改善農業實踐、生產力和效率。它包括收集和分析來自各種資訊來源的資料，包括天氣模式、土壤條件、作物產量和市場趨勢。透過利用人工智慧（AI）、機器學習（ML）、衛星影像和感測器等技術，農業分析可以幫助農民就種植、灌溉、施肥和病蟲害防治做出明智的決策。這種資料主導的方法可以實現精密農業，最佳化資源利用並減少浪費。

隨著農業產業不斷擁抱數位轉型，農業分析不斷擴展。隨著物聯網（IoT）設備和無人機的普及，世界各地的農民將更容易獲得即時監控和預測分析。這將帶來更永續的農業實踐、更高的產量和更好的資源管理。隨著世界人口的成長，農業分析將在解決糧食安全挑戰中發揮關鍵作用，幫助農民滿足增加糧食產量的需求，同時最大限度地減少對環境的影響。區塊鏈技術與先進資料分析工具的結合可以提高供應鏈透明度，進一步提高農業部門的效率。

精密農業的日益普及會推動農業分析市場的發展嗎？

精密農業的日益普及推動農業分析市場的發展。2010年至2020年間，美國玉米農場使用基於 GPS 的土壤測繪的比例從20%增加到 40%，凸顯了對資料驅動決策工具的需求日益成長。精密農業技術依靠詳細的即時資料來最佳化水、肥料和農藥等投入，提高生產力和永續性。隨著農民尋求提高效率和降低成本，對處理和解釋這些資料的高級分析的需求推動農業分析市場的成長。

全球糧食需求的不斷成長推動農業分析市場的發展。隨著世界人口的增加，提高農業生產力的需求變得越來越重要。根據糧農組織預測，2050年糧食產量需要增加60%，這將對農民和相關企業帶來巨大壓力。為了滿足這一需求，農民和農業相關企業擴大採用農業分析來提高作物產量、最佳化主導管理並做出對大規模永續糧食生產非常重要的資料驅動決策。

資料品質和可用性是否會阻礙農業分析市場的成長？

資料品質和可用性可能會阻礙農業分析市場的成長。不一致或不完整的資料會導致不準確的見解，限制預測分析、決策和效益最佳化的有效性。物聯網、衛星圖像和精密農業技術的進步透過增強資料收集能力並確保更可靠、更全面的分析資料來推動市場成長。

實施農業分析解決方案所包括的成本和複雜性可能會阻礙市場成長。技術、基礎設施和熟練人力的高額初始投資，加上整合不同資料來源的複雜性，可能會阻礙小型農場和相關人員的發展。然而，農業數位轉型的動力，以及雲端基礎的解決方案和政府措施的進步，透過降低成本和簡化實施來推動市場成長。

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