農業アナリティクス市場：コンポーネント、農場規模、展開、地域別、2026-2032年

農業アナリティクス市場の評価、2026-2032年

農業アナリティクス市場の需要は、農業の生産性と効率を高めるためのデータ主導型ソリューションに対するニーズの高まりにより、急速に高まっています。世界人口の増加とそれに伴う食糧供給の逼迫により、農家は人工知能（AI）、機械学習（ML）、モノのインターネット（IoT）などの先進技術に目を向け、作物の収量を最適化し、資源を効率的に管理し、運用コストを削減しています。市場規模は2024年に12億3,000万米ドルを超え、2032年には34億6,000万米ドルに達します。

これらの分析プラットフォームは、天候パターン、土壌の健康状態、害虫の発生、作物のパフォーマンスに関する洞察を通じてより良い意思決定を可能にし、よりスマートな農業技術と持続可能な農業慣行をもたらします。費用対効果が高く効率的な農業アナリティクスに対する需要の高まりにより、市場は2026年から2032年にかけてCAGR 15.17％で成長しています。

農業アナリティクス市場定義/概要

農業アナリティクスとは、農法、生産性、効率を改善するためのデータ分析ツールや技術の応用を指します。天候パターン、土壌条件、作物収量、市場動向など、さまざまな情報源からデータを収集・分析することが含まれます。人工知能（AI）、機械学習（ML）、衛星画像、センサーなどのテクノロジーを活用することで、農業アナリティクスは、農家が作付け、灌漑、施肥、害虫駆除について、情報に基づいた意思決定を行うのを支援します。このデータ主導のアプローチにより、精密農業が可能になり、資源の利用を最適化し、無駄を省くことができます。

農業アナリティクスは、農業業界がデジタルトランスフォーメーションを受け入れ続ける中で、広大な広がりを見せています。IoT（モノのインターネット）機器やドローンの導入が進むにつれ、リアルタイムのモニタリングや予測分析が世界中の農家にとってより身近なものになると思われます。これは、より持続可能な農法、より高い収量、より優れた資源管理につながります。世界人口の増加に伴い、農業アナリティクスは食糧安全保障の課題に対処する上で重要な役割を果たすようになり、農家が環境への影響を最小限に抑えながら食糧増産の需要に応えられるよう支援します。サプライチェーンの透明性を高めるブロックチェーン技術と高度なデータ分析ツールの統合は、農業部門の効率をさらに高めると思われます。

精密農業の採用増加は農業アナリティクス市場を促進するか？

精密農業の採用増加が農業アナリティクス市場に拍車をかけています。GPSベースの土壌マッピングの利用は、2010年から2020年の間に米国のトウモロコシ農場の20%から40%に増加しており、データ駆動型の意思決定ツールに対する需要の高まりを浮き彫りにしています。精密農業技術は、水、肥料、農薬などの投入を最適化し、生産性と持続可能性を高めるために、詳細なリアルタイムのデータに依存しています。農家が効率改善とコスト削減を目指す中、このデータを処理・解釈する高度なアナリティクスへのニーズが農業アナリティクス市場の成長を促進しています。

世界の食糧需要の増加が農業アナリティクス市場の活性化につながっています。世界人口の増加に伴い、農業生産性を高める必要性が重要になっています。FAOによると、食糧生産は2050年までに60%増加する必要があり、農家と農業関連企業には莫大なプレッシャーがかかります。この需要に応えるため、農家や農業関連企業は、作物収量の向上、資源管理の最適化、データ主導の意思決定など、持続可能な食糧生産を大規模に行うために不可欠な農業アナリティクスの採用を増やしています。

データの品質と入手可能性は農業アナリティクス市場の成長を妨げるか？

データの品質と入手可能性は、農業アナリティクス市場の成長を妨げる可能性があります。一貫性のないデータや不完全なデータは不正確な洞察につながり、予測分析、意思決定、収穫量の最適化の効果を制限します。IoT、衛星画像、精密農業技術の向上は、データ収集能力を強化し、分析のためのより信頼性の高い包括的なデータを確保することで、市場の成長を促進しています。

農業分析ソリューションの導入にはコストと複雑さが伴うため、市場成長の妨げになる可能性があります。技術、インフラ、熟練した人材への初期投資が高額であることに加え、多様なデータソースを統合する複雑さが、小規模農場や利害関係者の足かせになる可能性があります。しかし、農業におけるデジタルトランスフォーメーションの推進は、クラウドベースのソリューションや政府のイニシアティブの進歩とともに、コストの削減と導入の簡素化によって市場の成長を促進しています。

目次

第1章 農業アナリティクスの世界市場導入

• 市場概要
• 調査範囲
• 前提条件

第2章 エグゼクティブサマリー

第3章 VERIFIED MARKET RESEARCHの調査手法

• データマイニング
• バリデーション
• 一次資料
• データソース一覧

第4章 農業アナリティクスの世界市場展望

• 概要
• 市場力学
  • 促進要因
  • 抑制要因
  • 機会
• ポーターのファイブフォースモデル
• バリューチェーン分析

第5章 農業アナリティクスの世界市場、展開別

• 概要
• クラウド
• オンプレミス

第6章 農業アナリティクスの世界市場：コンポーネント別

• 概要
• ソリューション
• サービス

第7章 農業アナリティクスの世界市場：農場規模別

• 概要
• 中規模農場
• 小規模農場

第8章 農業アナリティクスの世界市場：地域別

• 概要
• 北米
  • 米国
  • カナダ
  • メキシコ
• 欧州
  • ドイツ
  • 英国
  • フランス
  • その他欧州
• アジア太平洋
  • 中国
  • 日本
  • インド
  • その他アジア太平洋地域
• 世界のその他の地域
  • ラテンアメリカ
  • 中東・アフリカ

第9章 農業アナリティクスの世界市場の競合情勢

• 概要
• 各社の市場ランキング
• 主な発展戦略

第10章 企業プロファイル

• IBM
• SAP SE
• Deere & Company
• Oracle
• Trimble
• Accenture

第11章 付録

• 関連調査

Agriculture Analytics Market Valuation - 2026-2032

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.

Agriculture Analytics Market, By Category

• Component:
• Solutions
• Services
• Farm Size:
• Medium-Sized Farms
• Small Farms
• Deployment:
• Cloud-Based
• On-Premise
• Region:
• North America
• Europe
• Asia-Pacific
• Latin America
• Middle East & Africa

TABLE OF CONTENTS

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

11 Appendix

• 11.1 Related Research