農業における人工知能の市場規模、シェア、成長分析、技術別、提供別、用途別、展開モード別、エンドユーザー別、地域別 - 産業予測、2024年～2031年

農業における人工知能の世界市場規模は、2022年に18億2,000万米ドルと評価され、2023年の22億3,000万米ドルから2031年には113億9,000万米ドルに成長し、予測期間（2024-2031年）のCAGRは22.6％で成長する見通しです。

世界の農業における人工知能市場は、先進技術によって農業を根本的に変革し、著しい成長を遂げています。世界中の農家は、作業効率と生産能力を高めるためにAI主導のツールを採用するようになってきています。主なアプリケーションには、作物のモニタリング、害虫の検出、収量予測などがあり、情報に基づいた意思決定を支援し、資源の浪費を最小限に抑え、収量を高めるリアルタイムのデータ分析によって促進されます。AIを組み込んだドローンや自律型ロボットの使用は、肥料や農薬の正確な散布を可能にすることで、作物管理をさらに洗練させる。さらに、AIによって強化された農業機械は、労働コストを削減しながら生産性を向上させる。AIチャットボットやバーチャルアシスタントを組み込むことで、農家は天候、市場動向、戦略立案に関する重要な洞察を得ることができ、リスク管理が向上します。AIの応用がゲノム学や作物育種のような分野に拡大するにつれて、より弾力性のある植物品種の開発に貢献します。しかし、農業におけるAIの有望な成長にもかかわらず、データのプライバシー、高い導入コスト、技術へのアクセスの不均等といった課題は、地域によって根強く残っています。とはいえ、世界の農業セクターが人工知能の変革的メリットをますます活用し、より持続可能で効率的な農業を推進する未来は明るいと思われます。

目次

イントロダクション

• 調査の目的
• 調査範囲
• 定義

調査手法

• 情報調達
• 二次データと一次データの方法
• 市場規模予測
• 市場の前提条件と制限

エグゼクティブサマリー

• 世界市場の見通し
• 供給と需要の動向分析
• セグメント別機会分析

市場力学と見通し

• 市場概要
• 市場規模
• 市場力学
  • 促進要因と機会
  • 抑制要因と課題
• ポーター分析と影響
  • 競争企業間の敵対関係
  • 代替品の脅威
  • 買い手の交渉力
  • 新規参入業者の脅威
  • 供給企業の交渉力

主な市場の考察

• 重要成功要因
• 競合の程度
• 主な投資機会
• 市場エコシステム
• 市場の魅力指数（2023年）
• PESTEL分析
• マクロ経済指標
• バリューチェーン分析
• 価格分析
• 技術の進歩
• 規制情勢
• 特許分析
• ケーススタディ
• 顧客と購買基準の分析
• スタートアップ分析

農業における人工知能lの市場規模：技術別& CAGR（2024-2031）

• 市場概要
• 機械学習
  • 教師あり学習
  • 教師なし学習
  • 強化学習
• コンピュータビジョン
• 予測分析

農業における人工知能の市場規模：提供別& CAGR（2024-2031）

• 市場概要
• ハードウェア
  • センサー
  • ドローン
  • カメラ
• ソフトウェア
  • AIプラットフォーム
  • AIソリューション
• サービス
  • プロフェッショナルサービス
  • マネージドサービス

農業における人工知能の市場規模：用途別& CAGR（2024-2031）

• 市場概要
• 精密農業
  • 収量モニタリング
  • フィールドマッピング
  • 作物スカウティング
• 家畜監視
  • 健康モニタリング
  • 行動監視
• ドローン分析
  • 作物の健康モニタリング
  • 土壌の健康モニタリング
• 農業ロボット
  • 収穫ロボット
  • 除草ロボット
• その他
  • 気象予報
  • 灌漑管理

農業における人工知能市場規模：展開モード別& CAGR（2024-2031）

• 市場概要
• クラウド
• オンプレミス
• ハイブリッド

農業における人工知能の市場規模：エンドユーザー別& CAGR（2024-2031）

• 市場概要
• 農家
• 農業企業
• 研究機関
• 政府機関

農業における人工知能の市場規模：地域別& CAGR（2024-2031）

• 北米
  • 米国
  • カナダ
• 欧州
  • 英国
  • ドイツ
  • スペイン
  • フランス
  • イタリア
  • その他欧州地域
• アジア太平洋
  • 中国
  • インド
  • 日本
  • 韓国
  • その他アジア太平洋地域
• ラテンアメリカ
  • ブラジル
  • その他ラテンアメリカ地域
• 中東およびアフリカ
  • GCC諸国
  • 南アフリカ
  • その他中東・アフリカ

競合情報

• 上位5社の比較
• 主要企業の市場ポジショニング（2023年）
• 主な市場企業が採用した戦略
• 市場の最近の動向
• 企業の市場シェア分析（2023年）
• 主要企業の企業プロファイル
  • 会社概要
  • 製品ポートフォリオ分析
  • セグメント別シェア分析
  • 収益の前年比比較（2021-2023）

主要企業プロファイル

• IBM Corporation
• Microsoft Corporation
• Deere & Company
• Granular Inc.
• aWhere Inc.
• Prospera Technologies Ltd.
• Taranis
• Agribotix LLC
• The Climate Corporation
• Descartes Labs, Inc.
• Mavrx Inc.
• Gamaya
• PrecisionHawk
• Cainthus
• Farmers Edge Inc.
• Resson Aerospace Corporation
• Connecterra B.V.
• Vision Robotics Corporation
• Harvest CROO Robotics
• AgEagle Aerial Systems Inc.

結論と推奨事項

Global Artificial Intelligence in Agriculture Market size was valued at USD 1.82 billion in 2022 and is poised to grow from USD 2.23 billion in 2023 to USD 11.39 billion by 2031, growing at a CAGR of 22.6% during the forecast period (2024-2031).

The Global Artificial Intelligence in Agriculture Market is witnessing significant growth, fundamentally transforming farming through advanced technologies. Farmers around the world are increasingly adopting AI-driven tools to enhance operational efficiency and production capabilities. Key applications include crop monitoring, pest detection, and yield forecasting, facilitated by real-time data analytics that support informed decision-making, minimize resource waste, and boost yields. The use of drones and autonomous robots with integrated AI further refines crop management by allowing for precise application of fertilizers and pesticides. Moreover, AI-enhanced agricultural machinery improves productivity while reducing labor costs. The incorporation of AI chatbots and virtual assistants provides farmers with crucial insights into weather, market trends, and strategic planning, thus improving risk management. As AI applications expand into areas like genomics and crop breeding, they contribute to developing more resilient plant varieties. However, despite the promising growth of AI in agriculture, challenges such as data privacy, high implementation costs, and uneven access to tech persist across regions. Nonetheless, the future appears bright for the global agriculture sector as it increasingly leverages the transformative benefits of artificial intelligence, driving toward more sustainable and efficient farming practices.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global Artificial Intelligence In Agriculture 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.

Global Artificial Intelligence In Agriculture Market Segmental Analysis

Global Artificial Intelligence in Agriculture Market is segmented by technology, offering, application, deployment mode, end user and region. Based on technology, the market is segmented into machine learning (supervised learning, unsupervised learning, reinforcement learning), computer vision and predictive analytics. Based on offering, the market is segmented into hardware (sensors, drones, cameras), software (AI platforms, AI solutions) and services (professional services, managed services). Based on application, the market is segmented into precision farming (yield monitoring, field mapping, crop scouting), livestock monitoring (health monitoring, behaviour monitoring), drone analytics (crop health monitoring, soil health monitoring), agricultural robots (harvesting robots, weeding robots) and others (weather forecasting, irrigation management). Based on deployment mode, the market is segmented into cloud, on-premises and hybrid. Based on end user, the market is segmented into farmers, agricultural corporations, research institutions and government agencies. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & and Africa.

Driver of the Global Artificial Intelligence In Agriculture Market

A significant factor driving the Global Artificial Intelligence in Agriculture Market is the escalating demand for sustainable and efficient farming methods. With the global population on the rise, the need for increased food production intensifies, compelling the agricultural sector to enhance productivity while conserving resources. AI-driven technologies present innovative solutions that optimize various agricultural processes, including precision farming and systematic decision-making based on data analysis. This shift towards the adoption of AI is becoming essential for farmers and agricultural organizations, as they strive to address the dual challenges of food security and environmental sustainability effectively.

Restraints in the Global Artificial Intelligence In Agriculture Market

A significant challenge facing the Global Artificial Intelligence in Agriculture Market is the high initial implementation cost. The adoption of AI technologies demands a considerable investment in hardware, software, and associated services. Moreover, the necessity of training personnel and upgrading existing infrastructure to integrate AI solutions can impose a heavy financial burden, particularly for smaller and less resourceful farmers. This cost barrier often limits the overall adoption of AI in agricultural practices and, in turn, restrains market growth. To effectively address this issue, it is essential to develop affordable AI solutions, provide accessible financing alternatives, and introduce government incentives to promote broader acceptance of AI within the agricultural sector.

Market Trends of the Global Artificial Intelligence In Agriculture Market

The Global Artificial Intelligence in Agriculture market is witnessing a notable trend characterized by the rising adoption of digital farming platforms. Agricultural stakeholders, including farmers and organizations, are increasingly leveraging AI-powered platforms that deliver holistic solutions for crop management, data analytics, and informed decision-making. These innovative platforms harness diverse AI technologies, such as machine learning, satellite imagery, and IoT sensors, facilitating real-time insights and optimization of agricultural practices. This trend signifies a transformative shift in the industry towards data-centric and technology-enabled methodologies aimed at enhancing productivity, sustainability, and profitability, ultimately reshaping the future of agriculture.

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
• Market Attractiveness Index, 2023
• PESTEL Analysis
• Macro-Economic Indicators
• Value Chain Analysis
• Pricing Analysis
• Technological Advancement
• Regulatory Landscape
• Patent Analysis
• Case Studies
• Customer & Buying Criteria Analysis
• Startup Analysis

Global Artificial Intelligence in Agriculture Market Size by Technology & CAGR (2024-2031)

• Market Overview
• Machine Learning
  • Supervised Learning
  • Unsupervised Learning
  • Reinforcement Learning
• Computer Vision
• Predictive Analytics

Global Artificial Intelligence in Agriculture Market Size by Offering & CAGR (2024-2031)

• Market Overview
• Hardware
  • Sensors
  • Drones
  • Cameras
• Software
  • AI Platforms
  • AI Solutions
• Services
  • Professional Services
  • Managed Services

Global Artificial Intelligence in Agriculture Market Size by Application & CAGR (2024-2031)

• Market Overview
• Precision Farming
  • Yield Monitoring
  • Field Mapping
  • Crop Scouting
• Livestock Monitoring
  • Health Monitoring
  • Behaviour Monitoring
• Drone Analytics
  • Crop Health Monitoring
  • Soil Health Monitoring
• Agricultural Robots
  • Harvesting Robots
  • Weeding Robots
• Others
  • Weather Forecasting
  • Irrigation Management

Global Artificial Intelligence in Agriculture Market Size by Deployment Mode & CAGR (2024-2031)

• Market Overview
• Cloud
• On-Premises
• Hybrid

Global Artificial Intelligence in Agriculture Market Size by End User & CAGR (2024-2031)

• Market Overview
• Farmers
• Agricultural Corporations
• Research Institutions
• Government Agencies

Global Artificial Intelligence in Agriculture Market Size & CAGR (2024-2031)

• North America, (Technology, Offering, Application, Deployment Mode, End User)
  • US
  • Canada
• Europe, (Technology, Offering, Application, Deployment Mode, End User)
  • UK
  • Germany
  • Spain
  • France
  • Italy
  • Rest of Europe
• Asia-Pacific, (Technology, Offering, Application, Deployment Mode, End User)
  • China
  • India
  • Japan
  • South Korea
  • Rest of Asia Pacific
• Latin America, (Technology, Offering, Application, Deployment Mode, End User)
  • Brazil
  • Rest of Latin America
• Middle East & Africa, (Technology, Offering, Application, Deployment Mode, End User)
  • GCC Countries
  • South Africa
  • Rest of Middle East & Africa

Competitive Intelligence

• Top 5 Player Comparison
• Market Positioning of Key Players, 2023
• Strategies Adopted by Key Market Players
• Recent Developments in the Market
• Company Market Share Analysis, 2023
• 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 Corporation
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Microsoft Corporation
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Deere & Company
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Granular Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• aWhere Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Prospera Technologies Ltd.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Taranis
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Agribotix LLC
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• The Climate Corporation
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Descartes Labs, Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Mavrx Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Gamaya
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• PrecisionHawk
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Cainthus
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Farmers Edge Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Resson Aerospace Corporation
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Connecterra B.V.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Vision Robotics Corporation
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Harvest CROO Robotics
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• AgEagle Aerial Systems Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments

Conclusion & Recommendation