農業における人工知能市場：提供、技術、展開、用途別-2025-2030年の世界予測

農業における人工知能市場は、2023年に22億5,000万米ドルと評価され、2024年には27億3,000万米ドルに達すると予測され、CAGR 22.45％で成長し、2030年には92億9,000万米ドルに達すると予測されています。

農業における人工知能（AI）には、農業プロセスを強化し、生産性を向上させ、環境問題を解決するための高度な計算技術の利用が含まれます。この分野におけるAIの範囲は広く、作物管理のための自動モニタリングシステムや予測分析から、精密農業やサプライチェーン最適化のためのロボット工学にまで及ぶ。AIの必要性は、食糧安全保障の強化、資源制限の管理、気候変動が農業に及ぼす影響の緩和という緊急の必要性から生じています。雑草や害虫の自動検出、収量予測、土壌モニタリングなど、アプリケーションは多岐にわたる。最終利用部門は大規模農業関連企業から小規模農家まで幅広く、意思決定と作業効率の向上のためにAIを活用しています。主な成長要因としては、世界の食糧需要の増加、持続可能な農業慣行の必要性、AIとIoTの技術進歩などが挙げられます。気候変動に強い作物や精密灌漑に合わせたAIソリューションの開発には機会が多く、新たな収益源を掘り起こす可能性があります。ハイテク企業と農業ビジネスのコラボレーションはイノベーションを促進し、あらゆる規模の農家が利用できるAIツールを生み出すことができます。しかし、導入コストの高さ、新興国地域での技術導入の制限、データプライバシーへの懸念といった課題が、市場の成長を妨げる可能性があります。インフラの不備やスキルの格差は、農村部におけるAIソリューションの普及をさらに複雑にしています。成長を生かすためには、研究とイノベーションは、低コストのAIシステムと、多様な農業条件に適応可能な技術に焦点を当てるべきです。サプライチェーンの透明化のためのブロックチェーンや、遺伝子作物改良のためのバイオテクノロジーとAIの統合は、探索のための有利な領域を提示します。市場の性質はダイナミックであり、急速な技術変化が利害関係者の敏捷性と先見性を必要とします。市場の課題に対処するためには、政策立案、AIの利点に関する教育、支援インフラへの投資など、協調的な取り組みが必要であり、AIが力を与える農業の変革への道を開くことになります。

市場力学：急速に進化する農業における人工知能市場の主要市場インサイトを公開

農業における人工知能市場は、需要と供給のダイナミックな相互作用によって変貌を遂げています。このような市場力学の進化を理解することで、企業は十分な情報に基づいた投資決定、戦略的決定の精緻化、そして新たなビジネスチャンスの獲得に備えることができます。これらの動向を包括的に把握することで、企業は政治的、地理的、技術的、社会的、経済的な領域にわたる様々なリスクを軽減することができ、また、消費者行動とそれが製造コストや購買動向に与える影響をより明確に理解することができます。

• 市場促進要因
  • 農業生産性を高めるための予測分析の動向の高まり
  • 近代的農業技術の導入に向けた政府および民間組織の積極的な取り組み
  • 農業分野での高度無人航空機（UAV）、衛星画像システムの採用拡大
• 市場抑制要因
  • 精密農業機器への人工知能（AI）の導入コストが高いことに伴う制約
• 市場機会
  • 家畜モニタリングと精密農業におけるAIベースの農業アプリケーションの台頭
  • ビッグデータ、IoTセンサーを含む先進農業技術と人工知能の統合
• 市場の課題
  • 認識不足と熟練専門家の不足

ポーターのファイブフォース：農業における人工知能市場をナビゲートする戦略ツール

ポーターのファイブフォースフレームワークは、市場情勢の競合情勢を理解するための重要なツールです。ポーターのファイブフォース・フレームワークは、企業の競争力を評価し、戦略的機会を探るための明確な手法を提供します。このフレームワークは、企業が市場内の勢力図を評価し、新規事業の収益性を判断するのに役立ちます。これらの洞察により、企業は自社の強みを活かし、弱みに対処し、潜在的な課題を回避することができ、より強靭な市場でのポジショニングを確保することができます。

PESTLE分析：農業における人工知能市場における外部からの影響の把握

外部マクロ環境要因は、農業における人工知能市場の業績ダイナミクスを形成する上で極めて重要な役割を果たします。政治的、経済的、社会的、技術的、法的、環境的要因の分析は、これらの影響をナビゲートするために必要な情報を提供します。PESTLE要因を調査することで、企業は潜在的なリスクと機会をよりよく理解することができます。この分析により、企業は規制、消費者の嗜好、経済動向の変化を予測し、先を見越した積極的な意思決定を行う準備ができます。

市場シェア分析農業における人工知能市場における競合情勢の把握

農業における人工知能市場の詳細な市場シェア分析により、ベンダーの業績を包括的に評価することができます。企業は、収益、顧客ベース、成長率などの主要指標を比較することで、競争上のポジショニングを明らかにすることができます。この分析により、市場の集中、断片化、統合の動向が明らかになり、ベンダーは競争が激化する中で自社の地位を高める戦略的意思決定を行うために必要な知見を得ることができます。

FPNVポジショニング・マトリックス農業における人工知能市場におけるベンダーのパフォーマンス評価

FPNVポジショニングマトリックスは、農業における人工知能市場においてベンダーを評価するための重要なツールです。このマトリックスにより、ビジネス組織はベンダーのビジネス戦略と製品満足度に基づき評価することで、目標に沿った十分な情報に基づいた意思決定を行うことができます。4つの象限によってベンダーを明確かつ正確にセグメント化し、戦略目標に最適なパートナーやソリューションを特定することができます。

戦略分析と推奨農業における人工知能市場における成功への道筋を描く

農業における人工知能市場の戦略分析は、世界市場でのプレゼンス強化を目指す企業にとって不可欠です。主要なリソース、能力、業績指標を見直すことで、企業は成長機会を特定し、改善に取り組むことができます。このアプローチにより、競合情勢における課題を克服し、新たなビジネスチャンスを活かして長期的な成功を収めるための体制を整えることができます。

本レポートでは、主要な注目分野を網羅した市場の包括的な分析を提供しています：

1.市場の浸透度：現在の市場環境の詳細なレビュー、主要企業による広範なデータ、市場でのリーチと全体的な影響力の評価。

2.市場の開拓度：新興市場における成長機会を特定し、既存分野における拡大可能性を評価し、将来の成長に向けた戦略的ロードマップを提供します。

3.市場の多様化：最近の製品発売、未開拓の地域、業界の主要な進歩、市場を形成する戦略的投資を分析します。

4.競合の評価と情報：競合情勢を徹底的に分析し、市場シェア、事業戦略、製品ポートフォリオ、認証、規制当局の承認、特許動向、主要企業の技術進歩などを検証します。

5.製品開発およびイノベーション：将来の市場成長を促進すると期待される最先端技術、研究開発活動、製品イノベーションをハイライトしています。

また、利害関係者が十分な情報を得た上で意思決定できるよう、重要な質問にも答えています：

1.現在の市場規模と今後の成長予測は？

2.最高の投資機会を提供する製品、セグメント、地域はどこか？

3.市場を形成する主な技術動向と規制の影響とは？

4.主要ベンダーの市場シェアと競合ポジションは？

5.ベンダーの市場参入・撤退戦略の原動力となる収益源と戦略的機会は何か？

目次

第1章 序文

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 市場の概要

第5章 市場洞察

• 市場力学
  • 促進要因
    • 農業生産性を高める予測分析のトレンドが拡大
    • 政府と民間組織による近代化の導入に向けた好ましい取り組み

農業技術

• 農業分野における先進的な無人航空機（UAV）と衛星画像システムの導入が拡大
• 抑制要因
  • 精密農業機械における人工知能（AI）導入の高コストに伴う制約
• 機会
  • 家畜監視と精密農業におけるAIベースの農業の新たな応用
  • ビッグデータやIoTセンサーなどの先進農業技術と人工知能の統合
• 課題
  • 認識不足と熟練した専門家の不足
• 市場セグメンテーション分析
• ポーターのファイブフォース分析
• PESTEL分析
  • 政治的
  • 経済
  • 社交
  • 技術的
  • 法律上
  • 環境

第6章 農業における人工知能市場：提供別

• ハードウェア
• サービス
• ソフトウェア

第7章 農業における人工知能市場：技術別

• コンピュータビジョン
• 機械学習
• 予測分析

第8章 農業における人工知能市場：展開別

• クラウド
• ハイブリッド
• オンプレミス

第9章 農業における人工知能市場：用途別

• 農業ロボット
• ドローン分析
• 労務管理
• 家畜監視
• 精密農業

第10章 南北アメリカの農業における人工知能市場

• アルゼンチン
• ブラジル
• カナダ
• メキシコ
• 米国

第11章 アジア太平洋地域の農業における人工知能市場

• オーストラリア
• 中国
• インド
• インドネシア
• 日本
• マレーシア
• フィリピン
• シンガポール
• 韓国
• 台湾
• タイ
• ベトナム

第12章 欧州・中東・アフリカの農業における人工知能市場

• デンマーク
• エジプト
• フィンランド
• フランス
• ドイツ
• イスラエル
• イタリア
• オランダ
• ナイジェリア
• ノルウェー
• ポーランド
• カタール
• ロシア
• サウジアラビア
• 南アフリカ
• スペイン
• スウェーデン
• スイス
• トルコ
• アラブ首長国連邦
• 英国

第13章 競合情勢

• 市場シェア分析2023
• FPNVポジショニングマトリックス, 2023
• 競合シナリオ分析
  • SLCMのAIベースアプリAgri ReachがNABL認定を取得
  • ワドワニAI、農民の福祉促進のためカルナタカ州政府と覚書を締結
  • Astanor Ventures、Source.Agの温室システム向けシリーズAラウンドで2,300万米ドルを調達
  • 米国EU AI協定：米国とEUが初の人工知能協定を発足
  • Wadhwani AIが農業におけるAIソリューション構築のためGoogle.orgから100万米ドルの助成金を獲得
  • UAE、農作物の障害検出のための新しいAI搭載モバイルアプリを発表
  • シンジェンタとプランティックスがアジア全域の農家向けにAI農業ツールを発売
  • アグリーナ、ハミングバード・テクノロジーズを買収し、炭素農業を強化
  • Cropinは世界初の農業インテリジェンスクラウド「Agcloud」を近日中にリリースする予定
  • AiDashが農業AIプラットフォームNeurafarms.aiを買収
• 戦略分析と提言

企業一覧

• Ag Code by Wilbur-Ellis Holdings, Inc.
• AGCO Corporation
• AgEagle Aerial Systems Inc.
• AgNext
• Apro Software
• Bayer AG.
• Cainthus by Ever.Ag
• ClimateAi, inc.
• Corteva Agriscience by Albaugh, LLC
• Cropin Technology Solutions Pvt Ltd.
• CropX Technologies Ltd.
• DeHaat by Green Agrevolution PVT. LTD
• Descartes Labs, Inc. by Antarctica Capital
• FarmBot, Inc.
• Farmers Edge Inc.
• Gamaya Inc.
• Gro Intelligence, Inc.
• Infosys Limited
• Intellias, LLC
• Intello Labs Private Limited
• International Business Machines Corporation
• John Deere Group
• Keenethics.
• Khetibuddy Agritech Private Limited.
• Microsoft Corporation
• PrecisionHawk Inc.
• Raven Industries, Inc.
• Trace Genomics, Inc.
• Trimble Inc.
• Tule Technologies Inc.
• Wipro Limited

LIST OF FIGURES

• FIGURE 1. ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET RESEARCH PROCESS
• FIGURE 2. ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, 2023 VS 2030
• FIGURE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, 2018-2030 (USD MILLION)
• FIGURE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 6. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2023 VS 2030 (%)
• FIGURE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2023 VS 2030 (%)
• FIGURE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2023 VS 2030 (%)
• FIGURE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2023 VS 2030 (%)
• FIGURE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 14. AMERICAS ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
• FIGURE 15. AMERICAS ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 16. UNITED STATES ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY STATE, 2023 VS 2030 (%)
• FIGURE 17. UNITED STATES ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 18. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
• FIGURE 19. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 20. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
• FIGURE 21. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 22. ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SHARE, BY KEY PLAYER, 2023
• FIGURE 23. ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET, FPNV POSITIONING MATRIX, 2023

LIST OF TABLES

• TABLE 1. ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SEGMENTATION & COVERAGE
• TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2023
• TABLE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, 2018-2030 (USD MILLION)
• TABLE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 6. ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET DYNAMICS
• TABLE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY HARDWARE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SERVICES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY COMPUTER VISION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY MACHINE LEARNING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY PREDICTIVE ANALYTICS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 16. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY CLOUD, BY REGION, 2018-2030 (USD MILLION)
• TABLE 17. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY HYBRID, BY REGION, 2018-2030 (USD MILLION)
• TABLE 18. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY ON-PREMISE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 19. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 20. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY AGRICULTURE ROBOTS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 21. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DRONE ANALYTICS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 22. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY LABOR MANAGEMENT, BY REGION, 2018-2030 (USD MILLION)
• TABLE 23. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY LIVESTOCK MONITORING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 24. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY PRECISION FARMING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 25. AMERICAS ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 26. AMERICAS ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 27. AMERICAS ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 28. AMERICAS ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 29. AMERICAS ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 30. ARGENTINA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 31. ARGENTINA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 32. ARGENTINA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 33. ARGENTINA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 34. BRAZIL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 35. BRAZIL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 36. BRAZIL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 37. BRAZIL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 38. CANADA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 39. CANADA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 40. CANADA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 41. CANADA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 42. MEXICO ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 43. MEXICO ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 44. MEXICO ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 45. MEXICO ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 46. UNITED STATES ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 47. UNITED STATES ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 48. UNITED STATES ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 49. UNITED STATES ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 50. UNITED STATES ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
• TABLE 51. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 52. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 53. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 54. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 55. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 56. AUSTRALIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 57. AUSTRALIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 58. AUSTRALIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 59. AUSTRALIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 60. CHINA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 61. CHINA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 62. CHINA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 63. CHINA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 64. INDIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 65. INDIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 66. INDIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 67. INDIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 68. INDONESIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 69. INDONESIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 70. INDONESIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 71. INDONESIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 72. JAPAN ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 73. JAPAN ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 74. JAPAN ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 75. JAPAN ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 76. MALAYSIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 77. MALAYSIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 78. MALAYSIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 79. MALAYSIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 80. PHILIPPINES ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 81. PHILIPPINES ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 82. PHILIPPINES ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 83. PHILIPPINES ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 84. SINGAPORE ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 85. SINGAPORE ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 86. SINGAPORE ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 87. SINGAPORE ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 88. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 89. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 90. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 91. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 92. TAIWAN ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 93. TAIWAN ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 94. TAIWAN ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 95. TAIWAN ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 96. THAILAND ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 97. THAILAND ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 98. THAILAND ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 99. THAILAND ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 100. VIETNAM ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 101. VIETNAM ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 102. VIETNAM ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 103. VIETNAM ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 104. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 105. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 106. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 107. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 108. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 109. DENMARK ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 110. DENMARK ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 111. DENMARK ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 112. DENMARK ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 113. EGYPT ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 114. EGYPT ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 115. EGYPT ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 116. EGYPT ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 117. FINLAND ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 118. FINLAND ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 119. FINLAND ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 120. FINLAND ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 121. FRANCE ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 122. FRANCE ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 123. FRANCE ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 124. FRANCE ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 125. GERMANY ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 126. GERMANY ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 127. GERMANY ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 128. GERMANY ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 129. ISRAEL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 130. ISRAEL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 131. ISRAEL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 132. ISRAEL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 133. ITALY ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 134. ITALY ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 135. ITALY ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 136. ITALY ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 137. NETHERLANDS ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 138. NETHERLANDS ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 139. NETHERLANDS ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 140. NETHERLANDS ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 141. NIGERIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 142. NIGERIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 143. NIGERIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 144. NIGERIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 145. NORWAY ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 146. NORWAY ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 147. NORWAY ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 148. NORWAY ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 149. POLAND ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 150. POLAND ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 151. POLAND ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 152. POLAND ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 153. QATAR ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 154. QATAR ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 155. QATAR ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 156. QATAR ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 157. RUSSIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 158. RUSSIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 159. RUSSIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 160. RUSSIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 161. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 162. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 163. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 164. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 165. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 166. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 167. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 168. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 169. SPAIN ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 170. SPAIN ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 171. SPAIN ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 172. SPAIN ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 173. SWEDEN ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 174. SWEDEN ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 175. SWEDEN ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 176. SWEDEN ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 177. SWITZERLAND ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 178. SWITZERLAND ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 179. SWITZERLAND ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 180. SWITZERLAND ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 181. TURKEY ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 182. TURKEY ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 183. TURKEY ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 184. TURKEY ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 185. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 186. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 187. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 188. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 189. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 190. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 191. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 192. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 193. ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SHARE, BY KEY PLAYER, 2023
• TABLE 194. ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET, FPNV POSITIONING MATRIX, 2023

The Artificial Intelligence in Agriculture Market was valued at USD 2.25 billion in 2023, expected to reach USD 2.73 billion in 2024, and is projected to grow at a CAGR of 22.45%, to USD 9.29 billion by 2030.

Artificial intelligence (AI) in agriculture encompasses the use of advanced computational technologies to enhance farming processes, improve productivity, and solve environmental issues. The scope of AI in this field is broad, spanning from automated monitoring systems and predictive analytics for crop management to robotics for precision farming and supply chain optimization. The necessity of AI arises from the urgent need to enhance food security, manage resource limitations, and mitigate the impacts of climate change on agriculture. Applications are diverse, including automated weed and pest detection, yield prediction, and soil monitoring. End-use sectors range from large-scale agribusinesses to small-holder farmers, leveraging AI for improved decision-making and operational efficiency. Key growth factors include the increasing global demand for food, the need for sustainable agriculture practices, and technological advancements in AI and IoT. Opportunities abound in developing AI solutions tailored for climate-resilient crops and precision irrigation, potentially unlocking new revenue streams. Collaborations between tech companies and agricultural businesses can foster innovation, creating AI tools that are accessible to farmers of all scales. However, challenges such as high implementation costs, limited technology adoption in developing regions, and data privacy concerns could hinder market growth. Infrastructure inadequacies and skill gaps further complicate the diffusion of AI solutions in rural areas. To capitalize on growth, research and innovation should focus on low-cost AI systems and adaptable technologies for varied agricultural conditions. AI's integration with blockchain for supply chain transparency and with biotechnology for genetic crop improvement presents lucrative areas for exploration. The nature of the market is dynamic, with rapid technological changes necessitating agility and foresight from stakeholders. Addressing market challenges involves concerted efforts in policy-making, education on AI benefits, and investment in supportive infrastructure, paving the way for a transformative agricultural landscape empowered by AI.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Artificial Intelligence in Agriculture Market

The Artificial Intelligence in Agriculture Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

• Market Drivers
  • Growing trend of predictive analytics to enhance agricultural productivity
  • Favorable government and private organizations initiatives to adopt modern agricultural technologies
  • Escalating adoption of advanced unmanned aerial vehicles (UAVs), and satellite imaging systems across agriculture sector
• Market Restraints
  • Constraints associated with the high cost of deployment of artificial intelligence (AI) in precision farming equipment
• Market Opportunities
  • Emerging application of AI based agriculture in livestock monitoring and precision farming
  • Integration of advanced farming technologies including big data, and IoT sensors with artificial intelligence
• Market Challenges
  • Lack of awareness and limited availability of skilled professionals

Porter's Five Forces: A Strategic Tool for Navigating the Artificial Intelligence in Agriculture Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Artificial Intelligence in Agriculture Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Artificial Intelligence in Agriculture Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Artificial Intelligence in Agriculture Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Artificial Intelligence in Agriculture Market

A detailed market share analysis in the Artificial Intelligence in Agriculture Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Artificial Intelligence in Agriculture Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Artificial Intelligence in Agriculture Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Artificial Intelligence in Agriculture Market

A strategic analysis of the Artificial Intelligence in Agriculture Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Artificial Intelligence in Agriculture Market, highlighting leading vendors and their innovative profiles. These include Ag Code by Wilbur-Ellis Holdings, Inc., AGCO Corporation, AgEagle Aerial Systems Inc., AgNext, Apro Software, Bayer AG., Cainthus by Ever.Ag, ClimateAi, inc., Corteva Agriscience by Albaugh, LLC, Cropin Technology Solutions Pvt Ltd., CropX Technologies Ltd., DeHaat by Green Agrevolution PVT. LTD, Descartes Labs, Inc. by Antarctica Capital, FarmBot, Inc., Farmers Edge Inc., Gamaya Inc., Gro Intelligence, Inc., Infosys Limited, Intellias, LLC, Intello Labs Private Limited, International Business Machines Corporation, John Deere Group, Keenethics., Khetibuddy Agritech Private Limited., Microsoft Corporation, PrecisionHawk Inc., Raven Industries, Inc., Trace Genomics, Inc., Trimble Inc., Tule Technologies Inc., and Wipro Limited.

Market Segmentation & Coverage

This research report categorizes the Artificial Intelligence in Agriculture Market to forecast the revenues and analyze trends in each of the following sub-markets:

• Based on Offering, market is studied across Hardware, Services, and Software.
• Based on Technology, market is studied across Computer Vision, Machine Learning, and Predictive Analytics.
• Based on Deployment, market is studied across Cloud, Hybrid, and On-premise.
• Based on Application, market is studied across Agriculture Robots, Drone Analytics, Labor Management, Livestock Monitoring, and Precision Farming.
• Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Segmentation & Coverage
• 1.3. Years Considered for the Study
• 1.4. Currency & Pricing
• 1.5. Language
• 1.6. Stakeholders

2. Research Methodology

• 2.1. Define: Research Objective
• 2.2. Determine: Research Design
• 2.3. Prepare: Research Instrument
• 2.4. Collect: Data Source
• 2.5. Analyze: Data Interpretation
• 2.6. Formulate: Data Verification
• 2.7. Publish: Research Report
• 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

• 5.1. Market Dynamics
  • 5.1.1. Drivers
    • 5.1.1.1. Growing trend of predictive analytics to enhance agricultural productivity
    • 5.1.1.2. Favorable government and private organizations initiatives to adopt modern

agricultural technologies

• 5.1.1.3. Escalating adoption of advanced unmanned aerial vehicles (UAVs), and satellite imaging systems across agriculture sector
• 5.1.2. Restraints
  • 5.1.2.1. Constraints associated with the high cost of deployment of artificial intelligence (AI) in precision farming equipment
• 5.1.3. Opportunities
  • 5.1.3.1. Emerging application of AI based agriculture in livestock monitoring and precision farming
  • 5.1.3.2. Integration of advanced farming technologies including big data, and IoT sensors with artificial intelligence
• 5.1.4. Challenges
  • 5.1.4.1. Lack of awareness and limited availability of skilled professionals
• 5.2. Market Segmentation Analysis
• 5.3. Porter's Five Forces Analysis
  • 5.3.1. Threat of New Entrants
  • 5.3.2. Threat of Substitutes
  • 5.3.3. Bargaining Power of Customers
  • 5.3.4. Bargaining Power of Suppliers
  • 5.3.5. Industry Rivalry
• 5.4. PESTLE Analysis
  • 5.4.1. Political
  • 5.4.2. Economic
  • 5.4.3. Social
  • 5.4.4. Technological
  • 5.4.5. Legal
  • 5.4.6. Environmental

6. Artificial Intelligence in Agriculture Market, by Offering

• 6.1. Introduction
• 6.2. Hardware
• 6.3. Services
• 6.4. Software

7. Artificial Intelligence in Agriculture Market, by Technology

• 7.1. Introduction
• 7.2. Computer Vision
• 7.3. Machine Learning
• 7.4. Predictive Analytics

8. Artificial Intelligence in Agriculture Market, by Deployment

• 8.1. Introduction
• 8.2. Cloud
• 8.3. Hybrid
• 8.4. On-premise

9. Artificial Intelligence in Agriculture Market, by Application

• 9.1. Introduction
• 9.2. Agriculture Robots
• 9.3. Drone Analytics
• 9.4. Labor Management
• 9.5. Livestock Monitoring
• 9.6. Precision Farming

10. Americas Artificial Intelligence in Agriculture Market

• 10.1. Introduction
• 10.2. Argentina
• 10.3. Brazil
• 10.4. Canada
• 10.5. Mexico
• 10.6. United States

11. Asia-Pacific Artificial Intelligence in Agriculture Market

• 11.1. Introduction
• 11.2. Australia
• 11.3. China
• 11.4. India
• 11.5. Indonesia
• 11.6. Japan
• 11.7. Malaysia
• 11.8. Philippines
• 11.9. Singapore
• 11.10. South Korea
• 11.11. Taiwan
• 11.12. Thailand
• 11.13. Vietnam

12. Europe, Middle East & Africa Artificial Intelligence in Agriculture Market

• 12.1. Introduction
• 12.2. Denmark
• 12.3. Egypt
• 12.4. Finland
• 12.5. France
• 12.6. Germany
• 12.7. Israel
• 12.8. Italy
• 12.9. Netherlands
• 12.10. Nigeria
• 12.11. Norway
• 12.12. Poland
• 12.13. Qatar
• 12.14. Russia
• 12.15. Saudi Arabia
• 12.16. South Africa
• 12.17. Spain
• 12.18. Sweden
• 12.19. Switzerland
• 12.20. Turkey
• 12.21. United Arab Emirates
• 12.22. United Kingdom

13. Competitive Landscape

• 13.1. Market Share Analysis, 2023
• 13.2. FPNV Positioning Matrix, 2023
• 13.3. Competitive Scenario Analysis
  • 13.3.1. SLCM's AI-Based App Agri Reach Gets NABL Accreditation
  • 13.3.2. Wadhwani AI Signs MoU with Karnataka Government to Promote Welfare for Farmers
  • 13.3.3. Astanor Ventures Leads USD 23 Million Series A for Source.Ag's Greenhouse System
  • 13.3.4. U.S. EU AI Agreement: U.S. and EU to Launch First-of-its-Kind Artificial Intelligence Agreement
  • 13.3.5. Wadhwani AI Gets USD 1 Million Grant from Google.org to Build AI Solutions in Agriculture
  • 13.3.6. UAE Launches New AI-Powered Mobile App for Crop Disorder Detection
  • 13.3.7. Syngenta, Plantix Launch AI Farming Tools for Farmers Across Asia
  • 13.3.8. Agreena Acquires Hummingbird Technologies to Strengthen Carbon Farming
  • 13.3.9. Cropin Plans to Launch World's First Agri Intelligence Cloud- 'Agcloud' Soon
  • 13.3.10. AiDash Buys Farming AI Platform Neurafarms.ai
• 13.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. Ag Code by Wilbur-Ellis Holdings, Inc.
• 2. AGCO Corporation
• 3. AgEagle Aerial Systems Inc.
• 4. AgNext
• 5. Apro Software
• 6. Bayer AG.
• 7. Cainthus by Ever.Ag
• 8. ClimateAi, inc.
• 9. Corteva Agriscience by Albaugh, LLC
• 10. Cropin Technology Solutions Pvt Ltd.
• 11. CropX Technologies Ltd.
• 12. DeHaat by Green Agrevolution PVT. LTD
• 13. Descartes Labs, Inc. by Antarctica Capital
• 14. FarmBot, Inc.
• 15. Farmers Edge Inc.
• 16. Gamaya Inc.
• 17. Gro Intelligence, Inc.
• 18. Infosys Limited
• 19. Intellias, LLC
• 20. Intello Labs Private Limited
• 21. International Business Machines Corporation
• 22. John Deere Group
• 23. Keenethics.
• 24. Khetibuddy Agritech Private Limited.
• 25. Microsoft Corporation
• 26. PrecisionHawk Inc.
• 27. Raven Industries, Inc.
• 28. Trace Genomics, Inc.
• 29. Trimble Inc.
• 30. Tule Technologies Inc.
• 31. Wipro Limited