市場調査レポート
商品コード
1238666

スマート農業の世界市場:提供製品/サービス別 (ハードウェア、ソフトウェア、サービス)・農業の種類別・農場の規模別 (大規模、中規模、小規模)・用途別 (精密農業、家畜モニタリング)・地域別 (南北アメリカ、欧州、アジア太平洋、他の国々 (RoW)) の将来予測 (2028年まで)

Smart Agriculture Market by Offering (Hardware, Software, Services), Agriculture Type, Farm Size (Large, Medium, Small), Application (Precision Farming, Livestock Monitoring) and Region ( America, Europe, Asia Pacific, Row) - Global Forecast to 2028

出版日: | 発行: MarketsandMarkets | ページ情報: 英文 363 Pages | 納期: 即納可能 即納可能とは

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価格
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本日の銀行送金レート: 1USD=151.55円
スマート農業の世界市場:提供製品/サービス別 (ハードウェア、ソフトウェア、サービス)・農業の種類別・農場の規模別 (大規模、中規模、小規模)・用途別 (精密農業、家畜モニタリング)・地域別 (南北アメリカ、欧州、アジア太平洋、他の国々 (RoW)) の将来予測 (2028年まで)
出版日: 2023年03月07日
発行: MarketsandMarkets
ページ情報: 英文 363 Pages
納期: 即納可能 即納可能とは
  • 全表示
  • 概要
  • 目次
概要

世界のスマート農業の市場規模は、2023年の162億米ドルから、2028年には254億米ドルに達すると予測され、2023年から2028年までのCAGRは9.4%と見込まれています。

世界人口の増加による食糧供給システムへの圧力や、農業における熟練労働者の不足が、スマート農業の市場成長を促進する主な要因の一つとなっています。

用途別では、精密農業分野が2023年から2028年にかけて市場をリードすると考えられています。高収量の作物を栽培するための最先端技術や革新的な装置の急速な導入が、予測期間中の精密農業市場の成長を促進すると期待されています。

提供製品/サービス別では、サービス分野が予測期間中に最も高いCAGRで成長すると予想されます。精密給餌システムや農地・家畜モニタリングシステム、ロボットシステムの導入・設置の増加により、スマート農業に特化したサービスの需要が急増しています。

地域別に見ると、2022年には南北アメリカが最大のシェアを占め、次いで欧州、アジア太平洋、他の国々 (RoW) の順番となっています。スマート農業ソリューションを提供する主要企業の存在感が大きいこと、水不足が深刻化していること、食料需要の高まり、中・大規模農場があることなどが、南北アメリカでの市場成長を促進する主な要因となっています。

当レポートでは、世界のスマート農業の市場について分析し、市場の基本構造や最新情勢、主な市場促進・抑制要因、農業の種類別・提供製品/サービス別・農場の規模別・サポート技術別・業種別・地域別の市場動向の見通し、市場競争の状態、主要企業のプロファイルなどを調査しております。

目次

第1章 イントロダクション

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 重要考察

第5章 市場概要

  • イントロダクション
  • スマート農業実践の開発
  • 市場力学
    • 促進要因
    • 抑制要因
    • 機会
    • 課題
  • サプライチェーン分析
  • エコシステムマッピング
  • 価格分析
  • スマート農業市場・企業の収益シフトと新しい収益源
  • 技術動向
  • ポーターのファイブフォース分析
  • 主な利害関係者と購入基準
  • ケーススタディ分析
  • 貿易分析
  • 特許分析
  • 主な会議とイベント (2023年~2024年)
  • スマート農業における関税・規制状況
  • 政府の政策と補助金

第6章 スマート農業で使用される各種接続技術

  • イントロダクション
  • IoT (モノのインターネット)
  • セルラーIoT
    • LTE-M
    • NB-IOT
  • LoRa
  • GNSS (全地球航法衛星システム)

第7章 スマート農業市場:農業の種類別

  • イントロダクション
  • 精密農業
  • 家畜モニタリング
  • 精密養殖
    • スマート給餌システム
    • 監視・制御システム
    • 遠隔操作式水中艇
  • 精密林業
  • スマート温室
  • その他

第8章 スマート農業市場:提供製品/サービス別

  • イントロダクション
  • ハードウェア
    • 精密農業用ハードウェア
    • 家畜モニタリング用ハードウェア
    • 精密林業用ハードウェア
    • 精密養殖用ハードウェア
    • スマート温室用ハードウェア
    • その他
  • ソフトウェア
    • オンプレミスソフトウェア
    • オンクラウド
    • 人工知能 (AI)・データ分析
  • サービス
    • システムインテグレーション・コンサルティングサービス
    • マネージドサービス
    • 接続サービス
    • 支援つき専門サービス
    • 整備・サポートサービス

第9章 スマート農業市場:農場の規模別

  • イントロダクション
  • 大規模農場
  • 中規模農場
  • 小規模農場

第10章 スマート農業市場:用途別

  • イントロダクション
  • 精密農業
    • 農業生産の最適化を支援
    • 収量モニタリング
    • 作柄観測
    • 農地マッピング
    • 可変作業技術 (VRA)
    • 天気追跡・予測
    • 在庫管理
    • 農場労働管理
    • 財務管理
    • その他
  • 家畜モニタリング
    • 搾乳管理
    • 繁殖管理
    • 給餌管理
    • 熱ストレス管理
    • 動物快適性管理
    • 行動監視・制御
    • その他
  • 精密養殖
    • 給餌管理
    • 監視・制御・監視
    • その他
  • 精密林業
    • 遺伝学・苗床
    • 造林・火災管理
    • 収穫管理
    • 在庫および物流管理
  • スマート温室
    • 空調管理
    • 収量モニタリング・収穫
    • 水・肥料管理
    • その他
  • その他

第11章 スマート農業市場:地域別

  • イントロダクション
  • 南北アメリカ
    • 北米
    • 南米
  • 欧州
    • ドイツ
    • 英国
    • フランス
    • イタリア
    • オランダ
    • 他の欧州諸国
  • アジア太平洋
    • 中国
    • 日本
    • オーストラリア
    • インド
    • 韓国
    • 他のアジア太平洋諸国
  • 他の国々 (RoW)
    • ロシア
    • アフリカ
    • 中東

第12章 競合情勢

  • 概要
  • 市場評価フレームワーク
    • 製品ポートフォリオ
    • 重要地域
    • 製造フットプリント
    • 有機・無機戦略
  • 市場シェア分析、2022年
  • 収益分析:上位4社 (2018年~2022年)
  • 企業評価クアドラント (2022年)
  • 企業のフットプリント
  • スタートアップ/中小企業の評価マトリックス/クアドラント (2022年)
  • 競合シナリオ
    • 製品の発売
    • 資本取引
    • その他

第13章 企業プロファイル

  • 主要企業
    • DEERE & COMPANY
    • TRIMBLE INC.
    • AGCO CORPORATION (PRECISION PLANTING, LLC)
    • TOPCON POSITIONING SYSTEMS
    • DELAVAL
    • AKVA GROUP
    • ALLFLEX LIVESTOCK INTELLIGENCE (MSD ANIMAL HEALTH)
    • INNOVASEA SYSTEMS INC.
    • AFIMILK LTD.
    • HELIOSPECTRA AB
  • その他の企業
    • PONSSE OYJ
    • RAVEN INDUSTRIES, INC. (CNH INDUSTRIAL N.V.)
    • KOMATSU FOREST
    • SCALEAQ
    • TIGERCAT INTERNATIONAL INC.
    • AG LEADER TECHNOLOGY
    • CERTHON
    • NEDAP N.V.
    • AGJUNCTION LLC
    • ARGUS CONTROL SYSTEMS LIMITED
    • DAIRYMASTER
    • DICKEY-JOHN
    • ABACO GROUP
    • TEEJET TECHNOLOGIES
    • FANCOM BV (SUBSIDIARY OF CTB, INC.)
    • LUMIGROW, INC.
    • CERES IMAGING, INC.
    • SENSAPHONE
    • BOUMATIC
    • CPI EQUIPMENT INC.

第14章 付録

目次
Product Code: SE 4043

The smart agriculture market is projected to reach USD 25.4 billion by 2028 from an estimated USD 16.2 billion in 2023, at a CAGR of 9.4% from 2023 to 2028. Increasing global population creating pressure on food supply system and shortage of skilled labor in agriculture industry are among the key factors driving the growth of the smart agriculture market.

Precision farming segment to lead smart agriculture market from 2023 to 2028

The rapid adoption of state-of-the-art technologies and innovative devices to cultivate high-yield crops is expected to drive the growth of the precision farming market during the forecast period. Other factors that are facilitating the adoption of precision farming tools include accessibility of better education and training modules to farmers, data sharing facilities, easy availability of financial resources, as well as increasing consumer demand for organic food.

Services segment is expected to grow at the highest CAGR during forecast period

The services segment is expected to grow at the highest CAGR during the forecast period. The growing deployment and installation of precision feeding systems, field and livestock monitoring systems, and robotic systems in farms have led to a surge in demand for specialized services for smart agriculture.

In 2022, Americas held the largest share of the overall smart agriculture market

In 2022, the Americas held the largest share of the overall smart agriculture market, followed by Europe, Asia Pacific, and RoW. The significant presence of key companies offering smart agriculture solutions, increasing scarcity of water, the growing demand for food, and medium and large farms in the region are the major factors driving the market growth in America. In addition, North America is the largest contributor to the growth of the smart agriculture market owing to the support of governments for the utilization of smart irrigation tools by offering rebates and subsidies to farm owners.

Breakdown of primary participants:

  • By Company Type: Tier 1 = 20%, Tier 2 = 45%, and Tier 3 = 35%
  • By Designation: C-level Executives = 35%, Directors = 25%, and Others = 40%
  • By Region: Americas = 45%, Europe = 25%, Asia Pacific = 20%, and RoW = 10%

Some of the key companies operating in the smart agriculture market are Deere & Company (US), Trimble Inc. (US), AGCO Corporation (US), Topcon Positioning Systems (US), DeLaval (Sweden), and so on.

Research Coverage:

In this report, the smart agriculture market has been segmented on the basis of Offering, Agriculture Type, Farm Size, Application, and Region. The report also discusses the drivers, restraints, opportunities, and challenges pertaining to the market. It gives a detailed view of the market across four main regions-Americas, Europe, Asia Pacific, and RoW. Supply chain analysis has been included in the report, along with the key players and their competitive analysis in the smart agriculture ecosystem.

Key Benefits to Buy the Report:

  • This report includes statistics for the smart agriculture market based on Offering, Agriculture Type, Farm Size, Application, and Region, along with their respective market sizes.
  • Supply chain analysis and key industry trends have been provided for the market.
  • Major drivers, restraints, opportunities, and challenges for the smart agriculture market have been provided in detail in this report.
  • This report would help stakeholders to understand their competitors better and gain more insights to enhance their position in the market. The competitive landscape section includes the competitor ecosystem and the recent development strategies adopted by the key players in the market, such as product launches, contracts, collaborations, agreements, alliances, acquisitions, joint ventures, expansions, investments, and partnerships.

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 STUDY OBJECTIVES
  • 1.2 MARKET DEFINITION
    • 1.2.1 INCLUSIONS AND EXCLUSIONS
  • 1.3 STUDY SCOPE
    • 1.3.1 MARKETS COVERED
    • 1.3.2 GEOGRAPHIC SCOPE
    • 1.3.3 YEARS CONSIDERED
  • 1.4 CURRENCY CONSIDERED
  • 1.5 UNITS CONSIDERED
  • 1.6 STAKEHOLDERS
  • 1.7 SUMMARY OF CHANGES
    • 1.7.1 RECESSION IMPACT

2 RESEARCH METHODOLOGY

  • 2.1 RESEARCH DATA
    • FIGURE 1 SMART AGRICULTURE MARKET: RESEARCH DESIGN
    • 2.1.1 SECONDARY AND PRIMARY RESEARCH
    • 2.1.2 SECONDARY DATA
      • 2.1.2.1 Secondary sources
      • 2.1.2.2 List of key secondary sources
    • 2.1.3 PRIMARY DATA
      • 2.1.3.1 Primary interviews with experts
      • 2.1.3.2 List of key primary respondents
      • 2.1.3.3 Breakdown of primaries
      • 2.1.3.4 Key data from primary sources
      • 2.1.3.5 Key industry insights
  • 2.2 FACTOR ANALYSIS
    • FIGURE 2 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 1 - TOP-DOWN (SUPPLY SIDE): REVENUES GENERATED BY COMPANIES FROM SALES OF SMART AGRICULTURE SOLUTIONS
    • FIGURE 3 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 1 - TOP-DOWN (SUPPLY SIDE): ILLUSTRATION OF REVENUE ESTIMATIONS FOR DEERE & COMPANY IN SMART AGRICULTURE MARKET
  • 2.3 MARKET SIZE ESTIMATION
    • 2.3.1 BOTTOM-UP APPROACH
      • 2.3.1.1 Approach to obtain market size using bottom-up analysis (demand side)
    • FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
    • 2.3.2 TOP-DOWN APPROACH
      • 2.3.2.1 Approach to obtain market size using top-down analysis (supply side)
    • FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH
    • 2.3.3 MARKET GROWTH PROJECTIONS AND FORECAST ASSUMPTIONS
    • TABLE 1 MARKET GROWTH PROJECTIONS AND FORECAST ASSUMPTIONS
  • 2.4 MARKET BREAKDOWN AND DATA TRIANGULATION
    • FIGURE 6 DATA TRIANGULATION
  • 2.5 RESEARCH ASSUMPTIONS
  • 2.6 RESEARCH LIMITATIONS
  • 2.7 RISK ASSESSMENT
    • TABLE 2 RISK FACTOR ANALYSIS
  • 2.8 IMPACT OF RECESSION ON SMART AGRICULTURE MARKET

3 EXECUTIVE SUMMARY

  • 3.1 OVERVIEW OF RECESSION IMPACT ON SMART AGRICULTURE MARKET
    • 3.1.1 GLOBAL ECONOMY OUTLOOK
    • 3.1.2 PRE-RECESSION SCENARIO
    • 3.1.3 POST-RECESSION SCENARIO
    • FIGURE 7 GROWTH PROJECTION OF SMART AGRICULTURE MARKET IN PRE- AND POST-RECESSION SCENARIOS
    • FIGURE 8 SERVICES SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
    • FIGURE 9 PRECISION FARMING SEGMENT TO LEAD SMART AGRICULTURE MARKET FROM 2023 TO 2028
    • FIGURE 10 SMALL FARMS TO EXHIBIT HIGHEST CAGR DURING FORECAST PERIOD
    • FIGURE 11 ASIA PACIFIC TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD

4 PREMIUM INSIGHTS

  • 4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN SMART AGRICULTURE MARKET
    • FIGURE 12 RISING GLOBAL POPULATION AND EMERGENCE OF AGRICULTURE 4.0 TO FUEL MARKET GROWTH
  • 4.2 SMART AGRICULTURE MARKET, BY OFFERING
    • FIGURE 13 HARDWARE SEGMENT TO DOMINATE MARKET DURING FORECAST PERIOD
  • 4.3 SMART AGRICULTURE MARKET, BY AGRICULTURE TYPE
    • FIGURE 14 PRECISION FARMING PROJECTED TO LEAD SMART AGRICULTURE MARKET FROM 2023 TO 2028
  • 4.4 SMART AGRICULTURE MARKET, BY FARM SIZE
    • FIGURE 15 MEDIUM-SIZED FARMS TO DOMINATE SMART AGRICULTURE MARKET DURING FORECAST PERIOD
  • 4.5 SMART AGRICULTURE MARKET, BY REGION
    • FIGURE 16 AMERICAS TO CAPTURE LARGEST MARKET SHARE FROM 2023 TO 2028
  • 4.6 SMART AGRICULTURE MARKET, BY COUNTRY
    • FIGURE 17 CHINA TO REGISTER FASTEST GROWTH DURING FORECAST PERIOD

5 MARKET OVERVIEW

  • 5.1 INTRODUCTION
  • 5.2 DEVELOPMENT OF SMART AGRICULTURE PRACTICES
    • FIGURE 18 EVOLUTION OF SMART AGRICULTURE
  • 5.3 MARKET DYNAMICS
    • FIGURE 19 SMART AGRICULTURE MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
    • 5.3.1 DRIVERS
      • 5.3.1.1 Increasing global population creating pressure on food supply system
    • FIGURE 20 GLOBAL CONSUMPTION OF MAJOR FIELD CROPS, 2005-2050
      • 5.3.1.2 Shortage of skilled labor in agriculture sector
      • 5.3.1.3 Surging use of modern technologies in agriculture
      • 5.3.1.4 Benefits offered by livestock monitoring solutions
      • 5.3.1.5 Rising adoption of IoT, ROVs, and AI in aquaculture farming
    • FIGURE 21 SMART AGRICULTURE MARKET: DRIVERS AND THEIR IMPACT
    • 5.3.2 RESTRAINTS
      • 5.3.2.1 High cost of smart agriculture solutions
      • 5.3.2.2 Fragmented agriculture sector
    • FIGURE 22 SMART AGRICULTURE MARKET: RESTRAINTS AND THEIR IMPACT
    • 5.3.3 OPPORTUNITIES
      • 5.3.3.1 Growing vegetarian and vegan population
    • FIGURE 23 TOTAL NUMBER OF PARTICIPANTS IN VEGANUARY PROGRAM, 2014-2022
      • 5.3.3.2 Rising adoption of livestock monitoring solutions in emerging countries
    • FIGURE 24 GLOBAL MILKING ROBOTS INSTALLED BASE, 2017-2030 (UNITS)
      • 5.3.3.3 Growing use of UAVs or drones in agricultural activities
      • 5.3.3.4 Increasing popularity of land-based recirculating aquaculture systems
    • FIGURE 25 SMART AGRICULTURE MARKET: OPPORTUNITIES AND THEIR IMPACT
    • 5.3.4 CHALLENGES
      • 5.3.4.1 Reduced profitability due to rising cost of cattle feed
    • FIGURE 26 TOTAL PRICE OF FEED (INDEX), 2011-2023
      • 5.3.4.2 Adverse impact of livestock farming on environment
    • FIGURE 27 SMART AGRICULTURE MARKET: CHALLENGES AND THEIR IMPACT
  • 5.4 SUPPLY CHAIN ANALYSIS
    • FIGURE 28 SMART AGRICULTURE MARKET: SUPPLY CHAIN ANALYSIS
    • 5.4.1 MAJOR STAKEHOLDERS IN SMART AGRICULTURE MARKET
  • 5.5 ECOSYSTEM MAPPING
    • FIGURE 29 SMART AGRICULTURE ECOSYSTEM
    • TABLE 3 SMART AGRICULTURE ECOSYSTEM
  • 5.6 PRICING ANALYSIS
    • TABLE 4 AVERAGE SELLING PRICES OF SMART AGRICULTURE SOLUTIONS, BY HARDWARE OFFERING
    • FIGURE 30 AVERAGE SELLING PRICE TREND FOR SMART AGRICULTURE HARDWARE OFFERINGS, 2019-2028 (USD)
    • FIGURE 31 PRECISION FARMING DATA ANALYTICS SERVICE COST PER HECTARE FOR DIFFERENT FARM SIZES IN 2021
  • 5.7 REVENUE SHIFT AND NEW REVENUE POCKETS FOR PLAYERS IN SMART AGRICULTURE MARKET
    • FIGURE 32 REVENUE SHIFT IN SMART AGRICULTURE MARKET
  • 5.8 TECHNOLOGICAL TRENDS
    • 5.8.1 INTERNET OF THINGS (IOT)
    • 5.8.2 M2M SOLUTIONS
    • FIGURE 33 INCREASING USE OF M2M SOLUTIONS IN AGRICULTURE-LEADING TREND AMONG KEY MARKET PLAYERS
    • 5.8.3 ROBOTICS
    • 5.8.4 AI AND BLOCKCHAIN IN LIVESTOCK FARMING
    • FIGURE 34 BLOCKCHAIN AND AI IN LIVESTOCK MONITORING
    • 5.8.5 ADOPTION OF ROBOTIC CAGES AND UNDERWATER DRONES IN AQUACULTURE FARMS
    • 5.8.6 INTEGRATION OF TELEMATICS WITH FOREST MECHANIZATION IN PRECISION FORESTRY
    • 5.8.7 ADVENT OF LIDAR-FITTED UAVS IN PRECISION FORESTRY
  • 5.9 PORTER'S FIVE FORCES ANALYSIS
    • FIGURE 35 SMART AGRICULTURE MARKET: PORTER'S FIVE FORCES ANALYSIS
    • TABLE 5 SMART AGRICULTURE MARKET: PORTER'S FIVE FORCES ANALYSIS
    • 5.9.1 INTENSITY OF COMPETITIVE RIVALRY
    • 5.9.2 BARGAINING POWER OF SUPPLIERS
    • 5.9.3 BARGAINING POWER OF BUYERS
    • 5.9.4 THREAT OF SUBSTITUTES
    • 5.9.5 THREAT OF NEW ENTRANTS
  • 5.10 KEY STAKEHOLDERS AND BUYING CRITERIA
    • 5.10.1 KEY STAKEHOLDERS IN BUYING PROCESS
    • FIGURE 36 INFLUENCE OF STAKEHOLDERS IN BUYING PROCESS, BY APPLICATION
    • TABLE 6 INFLUENCE OF STAKEHOLDERS IN BUYING PROCESS, BY APPLICATION (%)
    • 5.10.2 BUYING CRITERIA
    • FIGURE 37 KEY BUYING CRITERIA, BY APPLICATION
    • TABLE 7 KEY BUYING CRITERIA, BY APPLICATION
  • 5.11 CASE STUDY ANALYSIS
    • 5.11.1 INTRODUCTION
    • 5.11.2 OPEN BLUE
    • TABLE 8 INNOVASEA SYSTEM INC. HELPS OPEN BLUE BECOME LARGEST OPEN-OCEAN FISH FARM IN WORLD
    • 5.11.3 EARTH OCEAN FARMS
    • TABLE 9 INNOVASEA SYSTEM INC. ENABLES EARTH OCEAN FARMS TO EXPAND PRODUCTION WITH RUGGED EVOLUTION PENS
    • 5.11.4 GIFAS
    • TABLE 10 PHILIPS LED SOLUTIONS OFFER NEW POSSIBILITIES FOR SALMON INDUSTRY
    • 5.11.5 ERKO SEAFOOD AS
    • TABLE 11 AKVA GROUP HELPS ERKO SEAFOOD AS WITH PRECISION AQUACULTURE PRODUCTS
  • 5.12 TRADE ANALYSIS
    • TABLE 12 IMPORT DATA OF AGRICULTURAL, HORTICULTURAL, OR FORESTRY MACHINERY OF SOIL PREPARATION OR CULTIVATION, BY COUNTRY, 2017-2021 (USD MILLION)
    • FIGURE 38 SMART AGRICULTURE MARKET: IMPORT DATA FOR MAJOR COUNTRIES, 2017-2021
    • TABLE 13 EXPORT DATA OF AGRICULTURAL, HORTICULTURAL, OR FORESTRY MACHINERY OF SOIL PREPARATION OR CULTIVATION, BY COUNTRY, 2017-2021 (USD MILLION)
    • FIGURE 39 SMART AGRICULTURE: EXPORT DATA FOR MAJOR COUNTRIES, 2017-2021
  • 5.13 PATENT ANALYSIS
    • FIGURE 40 TOP 10 COMPANIES WITH HIGHEST NO. OF PATENTS IN LAST 10 YEARS
    • 5.13.1 JURISDICTION ANALYSIS
    • FIGURE 41 JURISDICTION ANALYSIS
    • 5.13.2 TOP PATENT OWNERS
    • TABLE 14 TOP 20 PATENT OWNERS (US) IN LAST 10 YEARS
    • TABLE 15 SOME KEY INNOVATIONS AND PATENT REGISTRATIONS FROM SEL
  • 5.14 KEY CONFERENCES AND EVENTS, 2023-2024
    • TABLE 16 SMART AGRICULTURE MARKET: DETAILED LIST OF CONFERENCES AND EVENTS
  • 5.15 TARIFF AND REGULATORY LANDSCAPE IN SMART AGRICULTURE
    • 5.15.1 US: AGRICULTURAL DATA ACT 2018
    • 5.15.2 NATIONAL MISSION FOR SUSTAINABLE AGRICULTURE (NMSA)
    • 5.15.3 ENVIRONMENTAL IMPACT ASSESSMENT (EIA)
    • 5.15.4 NATURE CONSERVATION - EUROPEAN UNION (EU)
    • 5.15.5 TARIFF AND REGULATIONS RELATED TO PRECISION FARMING AND SMART GREENHOUSES
    • TABLE 17 TARIFF REGULATIONS: PRECISION FARMING AND SMART GREENHOUSES
    • 5.15.6 TARIFF AND REGULATIONS RELATED TO PRECISION AQUACULTURE
    • TABLE 18 TARIFF REGULATIONS: PRECISION AQUACULTURE
  • 5.16 GOVERNMENT POLICIES AND SUBSIDIES
    • 5.16.1 INTRODUCTION
    • 5.16.2 CHINA
      • 5.16.2.1 National plan for agricultural and rural informatization: China 14th five-year plan (2021-2026)
      • 5.16.2.2 New guidelines for modernization of agriculture sector in China
      • 5.16.2.3 Current state of development of smart agriculture machinery in China
      • 5.16.2.4 Pollution and climate smart agriculture in China (PACSAC)
      • 5.16.2.5 World bank initiatives toward promoting green agriculture and rural development in China
    • FIGURE 42 AGRICULTURE SUBSIDIES IN CHINA AND OTHER MAJOR COUNTRIES (% OF TOTAL GDP)
    • 5.16.3 INDIA
    • TABLE 19 CURRENT AGRICULTURE SUBSIDIES SUPPORT TO INDIAN FARMERS FROM CENTRAL AND STATE GOVERNMENTS (USD BILLION)
      • 5.16.3.1 Greenhouse farming subsidy in India
      • 5.16.3.2 Government initiatives for promoting organic farming in India
      • 5.16.3.3 Government partnerships for smart agriculture
    • 5.16.4 NETHERLANDS
      • 5.16.4.1 Climate smart agriculture initiatives in Netherlands
      • 5.16.4.2 Major government initiatives and subsidy programs in Netherlands
      • 5.16.4.3 Support for organic farmers
        • 5.16.4.3.1 Greenhouse as source of energy
        • 5.16.4.3.2 Subsidy scheme for agricultural innovation North Brabant, 2020-2023
    • 5.16.5 AZERBAIJAN
    • FIGURE 43 TOTAL AGRICULTURE LAND UNDER CULTIVATION, 2012-2022 (MILLION HA)
      • 5.16.5.1 Government investments and support for agriculture sector in Azerbaijan
    • FIGURE 44 AGRICULTURE EXPORT VALUE, BY PRODUCT, 2020 VS. 2021 (USD MILLION)
    • FIGURE 45 AGRICULTURE IMPORT VALUE, BY PRODUCT, 2020 VS. 2021 (USD MILLION)
      • 5.16.5.2 Recent government reforms and policies in agriculture sector
      • 5.16.5.3 Digital agriculture transformation in Azerbaijan through setting up agroparks
    • 5.16.6 SPAIN
    • FIGURE 46 TOTAL AGRICULTURAL LAND UNDER CULTIVATION IN SPAIN, 2013-2020 (MILLION HA)
    • FIGURE 47 SHARE OF MAJOR AGRICULTURE PRODUCTS IN SPAIN
    • FIGURE 48 IMPORT AND EXPORT VALUE OF AGRICULTURE PRODUCTS IN SPAIN, 2021 (USD MILLION)
      • 5.16.6.1 Recent government policies in agriculture
        • 5.16.6.1.1 Spanish government approved strategic plan for economic recovery and transformation (PERTE) of agri-food sector in early 2022
        • 5.16.6.1.2 Ministry of Agriculture, Fisheries and Food and National Innovation Company (ENISA) in Spain allocated euro 13 million to technology-based agriculture business projects
        • 5.16.6.1.3 Subsidy schemes for irrigation projects in Spain
    • 5.16.7 TURKEY
      • 5.16.7.1 Current landscape of smart agriculture technology in Turkey
    • FIGURE 49 TOTAL AGRICULTURE LAND UNDER CULTIVATION, 2013-2020 (MILLION HA)
      • 5.16.7.2 Policies and implementation of smart agriculture technologies in Turkey
        • 5.16.7.2.1 Eleventh development plan was created in July 2019

6 DIFFERENT CONNECTING TECHNOLOGIES USED IN SMART AGRICULTURE

  • 6.1 INTRODUCTION
    • FIGURE 50 DIFFERENT TECHNOLOGIES IN SMART AGRICULTURE
  • 6.2 INTERNET OF THINGS (IOT)
  • 6.3 CELLULAR IOT
    • 6.3.1 LTE-M
    • 6.3.2 NB-IOT
  • 6.4 LORA
  • 6.5 GLOBAL NAVIGATION SATELLITE SYSTEM (GNSS)

7 SMART AGRICULTURE MARKET, BY AGRICULTURE TYPE

  • 7.1 INTRODUCTION
    • FIGURE 51 SMART AGRICULTURE MARKET, BY AGRICULTURE TYPE
    • TABLE 20 SMART AGRICULTURE MARKET, BY AGRICULTURE TYPE, 2019-2022 (USD MILLION)
    • FIGURE 52 PRECISION FARMING EXPECTED TO DOMINATE SMART AGRICULTURE MARKET FROM 2023 TO 2028
    • TABLE 21 SMART AGRICULTURE MARKET, BY AGRICULTURE TYPE, 2023-2028 (USD MILLION)
  • 7.2 PRECISION FARMING
    • 7.2.1 IMPROVES FARM EFFICIENCY AND INCREASES CROP PRODUCTIVITY
    • TABLE 22 PRECISION FARMING: SMART AGRICULTURE MARKET, BY TECHNOLOGY, 2019-2022 (USD MILLION)
    • FIGURE 53 VARIABLE RATE TECHNOLOGY TO REGISTER HIGHEST CAGR FROM 2023 TO 2028
    • TABLE 23 PRECISION FARMING: SMART AGRICULTURE MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION)
    • TABLE 24 PRECISION FARMING: SMART AGRICULTURE MARKET, BY FARM SIZE, 2019-2022 (USD MILLION)
    • TABLE 25 PRECISION FARMING: SMART AGRICULTURE MARKET, BY FARM SIZE, 2023-2028 (USD MILLION)
    • TABLE 26 PRECISION FARMING: SMART AGRICULTURE MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 27 PRECISION FARMING: SMART AGRICULTURE MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 7.3 LIVESTOCK MONITORING
    • 7.3.1 USES CUTTING-EDGE TECHNOLOGIES AND TOOLS TO ENHANCE PRODUCTIVITY AND PROFITABILITY IN DAIRY FARMING
    • TABLE 28 LIVESTOCK MONITORING: SMART AGRICULTURE MARKET, BY FARM SIZE, 2019-2022 (USD MILLION)
    • TABLE 29 LIVESTOCK MONITORING: SMART AGRICULTURE MARKET, BY FARM SIZE, 2023-2028 (USD MILLION)
    • TABLE 30 LIVESTOCK MONITORING: SMART AGRICULTURE MARKET, BY REGION, 2019-2022 (USD MILLION)
    • FIGURE 54 ASIA PACIFIC TO WITNESS HIGHEST CAGR DURING FORECAST PERIOD
    • TABLE 31 LIVESTOCK MONITORING: SMART AGRICULTURE MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 7.4 PRECISION AQUACULTURE
    • 7.4.1 IMPLEMENTING SMART TECHNOLOGIES HELPS MONITOR AQUAFARMS
    • 7.4.2 SMART FEEDING SYSTEMS
      • 7.4.2.1 Determine sizes and eating behavior of fishes
    • 7.4.3 MONITORING AND CONTROL SYSTEMS
      • 7.4.3.1 Improve efficiency of aquafarms
    • 7.4.4 UNDERWATER REMOTELY OPERATED VEHICLES
      • 7.4.4.1 Monitor underwater species to improve aquafarm operations
    • TABLE 32 PRECISION AQUACULTURE: SMART AGRICULTURE MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 33 PRECISION AQUACULTURE: SMART AGRICULTURE MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 7.5 PRECISION FORESTRY
    • 7.5.1 USES MODERN TECHNOLOGIES TO GATHER REAL-TIME INFORMATION FOR DECISION-MAKING
    • TABLE 34 PRECISION FORESTRY: SMART AGRICULTURE MARKET, BY TECHNOLOGY, 2019-2022 (USD MILLION)
    • FIGURE 55 CUT-TO-LENGTH (CTL) TECHNOLOGY TO CAPTURE LARGEST SHARE OF PRECISION FORESTRY MARKET FROM 2023 TO 2028
    • TABLE 35 PRECISION FORESTRY: SMART AGRICULTURE MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION)
    • TABLE 36 PRECISION FORESTRY: SMART AGRICULTURE MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 37 PRECISION FORESTRY: SMART AGRICULTURE MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 7.6 SMART GREENHOUSE
    • 7.6.1 IMPROVES OPERATIONS USING WIRED AND WIRELESS TECHNOLOGIES
    • TABLE 38 SMART GREENHOUSE: SMART AGRICULTURE MARKET, BY SUB-TYPE, 2019-2022 (USD MILLION)
    • TABLE 39 SMART GREENHOUSE: SMART AGRICULTURE MARKET, BY SUB-TYPE, 2023-2028 (USD MILLION)
    • TABLE 40 SMART GREENHOUSE: SMART AGRICULTURE MARKET, BY FARM SIZE, 2019-2022 (USD MILLION)
    • TABLE 41 SMART GREENHOUSE: SMART AGRICULTURE MARKET, BY FARM SIZE, 2023-2028 (USD MILLION)
    • TABLE 42 SMART GREENHOUSE: SMART AGRICULTURE MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 43 SMART GREENHOUSE: SMART AGRICULTURE MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 7.7 OTHERS
    • TABLE 44 OTHERS: SMART AGRICULTURE MARKET, BY TYPE, 2019-2022 (USD MILLION)
    • FIGURE 56 ORCHID FARMING SEGMENT TO REGISTER HIGHEST CAGR FROM 2023 TO 2028
    • TABLE 45 OTHERS: SMART AGRICULTURE MARKET, BY TYPE, 2023-2028 (USD MILLION)
    • TABLE 46 OTHERS: SMART AGRICULTURE MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 47 OTHERS: SMART AGRICULTURE MARKET, BY REGION, 2023-2028 (USD MILLION)

8 SMART AGRICULTURE MARKET, BY OFFERING

  • 8.1 INTRODUCTION
    • FIGURE 57 SMART AGRICULTURE MARKET, BY OFFERING
    • TABLE 48 SMART AGRICULTURE MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • FIGURE 58 SERVICES SEGMENT TO WITNESS HIGHEST CAGR FROM 2023 TO 2028
    • TABLE 49 SMART AGRICULTURE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
  • 8.2 HARDWARE
    • 8.2.1 PRECISION FARMING HARDWARE
      • 8.2.1.1 Growing availability of precision farming tools
    • TABLE 50 PRECISION FARMING: SMART AGRICULTURE MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 51 PRECISION FARMING: SMART AGRICULTURE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 52 PRECISION FARMING HARDWARE: SMART AGRICULTURE MARKET, BY HARDWARE TYPE, 2019-2022 (USD MILLION)
    • TABLE 53 PRECISION FARMING HARDWARE: SMART AGRICULTURE MARKET, BY HARDWARE TYPE, 2023-2028 (USD MILLION)
      • 8.2.1.2 Automation and control systems
    • TABLE 54 AUTOMATION AND CONTROL SYSTEMS: SMART AGRICULTURE MARKET, BY DEVICE TYPE, 2019-2022 (USD MILLION)
    • FIGURE 59 DRONES TO ACCOUNT FOR LARGEST SHARE OF AUTOMATION AND CONTROL SYSTEMS MARKET FROM 2023 TO 2028
    • TABLE 55 AUTOMATION AND CONTROL SYSTEMS: SMART AGRICULTURE MARKET, BY DEVICE TYPE, 2023-2028 (USD MILLION)
        • 8.2.1.2.1 Drones/UAVs
          • 8.2.1.2.1.1 Provide more accurate data useful in VRT applications
        • 8.2.1.2.2 Irrigation controllers
          • 8.2.1.2.2.1 Improve water efficiency, reduce energy consumption, and maximize crop productivity
        • 8.2.1.2.3 GPS/GNSS devices
          • 8.2.1.2.3.1 Help farmers work in poor visibility conditions
        • 8.2.1.2.4 Flow and application control devices
          • 8.2.1.2.4.1 Eliminate overlap and double coverage, saving inputs and promoting efficiency
        • 8.2.1.2.5 Guidance and steering systems
          • 8.2.1.2.5.1 Reduce overlap and inward drift
        • 8.2.1.2.6 Handheld mobile devices/handheld computers
          • 8.2.1.2.6.1 Allow collection of field records, soil nutrient data, and soil moisture information
        • 8.2.1.2.7 Displays
          • 8.2.1.2.7.1 Allow farmers to view farm-related information in real time
        • 8.2.1.2.8 Others
      • 8.2.1.3 Sensing and monitoring devices
    • TABLE 56 SENSING AND MONITORING DEVICES: SMART AGRICULTURE MARKET, BY DEVICE TYPE, 2019-2022 (USD MILLION)
    • TABLE 57 SENSING AND MONITORING DEVICES: SMART AGRICULTURE MARKET, BY DEVICE TYPE, 2023-2028 (USD MILLION)
        • 8.2.1.3.1 Yield monitors
          • 8.2.1.3.1.1 To hold largest market share during forecast period
        • 8.2.1.3.2 Soil sensors
          • 8.2.1.3.2.1 Provide real-time data on various soil properties
        • 8.2.1.3.3 Nutrient sensors
          • 8.2.1.3.3.1 Measure levels of essential plant nutrients
        • 8.2.1.3.4 Moisture sensors
          • 8.2.1.3.4.1 Manage irrigation systems more efficiently
        • 8.2.1.3.5 Temperature sensors
          • 8.2.1.3.5.1 Help farmers make sowing decisions and check soil sustainability for planting
      • 8.2.1.4 Water sensors
        • 8.2.1.4.1 Assist farmers in determining most efficient and effective times to water crops
      • 8.2.1.5 Climate sensors
        • 8.2.1.5.1 Help monitor and record climate changes
      • 8.2.1.6 Others
    • 8.2.2 LIVESTOCK MONITORING HARDWARE
      • 8.2.2.1 Enable efficient resource management, livestock tracking, and devising and managing feeding and milking plans
    • TABLE 58 LIVESTOCK MONITORING: SMART AGRICULTURE MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 59 LIVESTOCK MONITORING: SMART AGRICULTURE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 60 LIVESTOCK MONITORING HARDWARE: SMART AGRICULTURE MARKET, BY HARDWARE TYPE, 2019-2022 (USD MILLION)
    • FIGURE 60 RFID TAGS AND READERS TO CAPTURE LARGEST SHARE OF LIVESTOCK MONITORING HARDWARE MARKET DURING FORECAST PERIOD
    • TABLE 61 LIVESTOCK MONITORING HARDWARE: SMART AGRICULTURE MARKET, BY HARDWARE TYPE, 2023-2028 (USD MILLION)
    • TABLE 62 LIVESTOCK MONITORING HARDWARE: SMART AGRICULTURE MARKET, BY HARDWARE TYPE, 2019-2022 (MILLION UNITS)
    • TABLE 63 LIVESTOCK MONITORING HARDWARE: SMART AGRICULTURE MARKET, BY HARDWARE TYPE, 2023-2028 (MILLION UNITS)
      • 8.2.2.2 RFID tags and readers
        • 8.2.2.2.1 Help track and monitor livestock, crops, and farm assets' location and health
      • 8.2.2.3 Sensors
        • 8.2.2.3.1 Help improve livestock monitoring applications
      • 8.2.2.4 Transmitters and mounting equipment
        • 8.2.2.4.1 Used to send wireless video and audio signals from barn to livestock owner's house
      • 8.2.2.5 GPS
        • 8.2.2.5.1 Aids in animal management
      • 8.2.2.6 Others
    • 8.2.3 PRECISION FORESTRY HARDWARE
      • 8.2.3.1 Help optimize efficiency and accuracy of forest management operations
    • TABLE 64 PRECISION FORESTRY: SMART AGRICULTURE MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • FIGURE 61 HARDWARE SEGMENT TO LEAD PRECISION FORESTRY APPLICATIONS IN SMART AGRICULTURE MARKET IN 2023
    • TABLE 65 PRECISION FORESTRY: SMART AGRICULTURE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 66 PRECISION FORESTRY HARDWARE: SMART AGRICULTURE MARKET, BY HARDWARE TYPE, 2019-2022 (USD MILLION)
    • TABLE 67 PRECISION FORESTRY HARDWARE: SMART AGRICULTURE MARKET, BY HARDWARE TYPE, 2023-2028 (USD MILLION)
      • 8.2.3.2 Harvesters and forwarders
        • 8.2.3.2.1 Play crucial role in precision forestry operations
      • 8.2.3.3 UAVs/drones
        • 8.2.3.3.1 Used for planting trees and reducing associated costs
      • 8.2.3.4 GPS
        • 8.2.3.4.1 Used for site-specific tree management with high precision
      • 8.2.3.5 Cameras
        • 8.2.3.5.1 Help users monitor trees in forests
      • 8.2.3.6 Sensors and RFID tags
        • 8.2.3.6.1 Help prevent illegal cutting and smuggling of trees
      • 8.2.3.7 Variable rate controllers
        • 8.2.3.7.1 Beneficial in application of herbicides and fertilizers
      • 8.2.3.8 Others
    • 8.2.4 PRECISION AQUACULTURE HARDWARE
      • 8.2.4.1 Enable effective management of aquaculture farms
    • TABLE 68 PRECISION AQUACULTURE: SMART AGRICULTURE MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 69 PRECISION AQUACULTURE: SMART AGRICULTURE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 70 PRECISION AQUACULTURE HARDWARE: SMART AGRICULTURE MARKET, BY HARDWARE TYPE, 2019-2022 (USD MILLION)
    • FIGURE 62 MONITORING DEVICES TO LEAD PRECISION AQUACULTURE HARDWARE MARKET FROM 2023 TO 2028
    • TABLE 71 PRECISION AQUACULTURE HARDWARE: SMART AGRICULTURE MARKET, BY HARDWARE TYPE, 2023-2028 (USD MILLION)
      • 8.2.4.2 Monitoring devices
        • 8.2.4.2.1 Help increase aquatic farm efficiency and productivity
        • 8.2.4.2.2 Temperature and environmental monitoring devices
          • 8.2.4.2.2.1 Ensure water temperature remains within optimal range for aquatic species
        • 8.2.4.2.3 pH and dissolved oxygen sensors
          • 8.2.4.2.3.1 Ensure good health and growth of aquaculture species
        • 8.2.4.2.4 Others
      • 8.2.4.3 Camera systems
        • 8.2.4.3.1 Used to monitor feeding response, feeding rate, and fish behavior
      • 8.2.4.4 Control systems
        • 8.2.4.4.1 Provide comprehensive control over aquaculture operations
      • 8.2.4.5 Others
    • 8.2.5 SMART GREENHOUSE HARDWARE
      • 8.2.5.1 Improve plant growth, increase yields, and reduce waste
    • TABLE 72 SMART GREENHOUSE: SMART AGRICULTURE MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 73 SMART GREENHOUSE: SMART AGRICULTURE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 74 SMART GREENHOUSE HARDWARE: SMART AGRICULTURE MARKET, BY HARDWARE TYPE, 2019-2022 (USD MILLION)
    • TABLE 75 SMART GREENHOUSE HARDWARE: SMART AGRICULTURE MARKET, BY HARDWARE TYPE, 2023-2028 (USD MILLION)
      • 8.2.5.2 HVAC systems
        • 8.2.5.2.1 Provide improved indoor environment in smart greenhouses
      • 8.2.5.3 LED grow lights
        • 8.2.5.3.1 Used as supplemental lighting source where natural sunlight is insufficient for plant growth
      • 8.2.5.4 Irrigation systems
        • 8.2.5.4.1 Help in proper and timely watering of each zone in greenhouses
      • 8.2.5.5 Material handling equipment
        • 8.2.5.5.1 Used for mechanization of greenhouses
      • 8.2.5.6 Valves and pumps
        • 8.2.5.6.1 Help maintain an optimal flow of water in greenhouses
      • 8.2.5.7 Control systems
        • 8.2.5.7.1 Help ease heating and cooling operations
      • 8.2.5.8 Sensors and cameras
        • 8.2.5.8.1 Provide quantitative information to guide farm owners
    • 8.2.6 OTHERS
    • TABLE 76 OTHERS: SMART AGRICULTURE MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 77 OTHERS: SMART AGRICULTURE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
  • 8.3 SOFTWARE
    • TABLE 78 PRECISION FARMING SOFTWARE: SMART AGRICULTURE MARKET, BY DEPLOYMENT TYPE, 2019-2022 (USD MILLION)
    • TABLE 79 PRECISION FARMING SOFTWARE: SMART AGRICULTURE MARKET, BY DEPLOYMENT TYPE, 2023-2028 (USD MILLION)
    • TABLE 80 LIVESTOCK MONITORING SOFTWARE: SMART AGRICULTURE MARKET, BY DEPLOYMENT TYPE, 2019-2022 (USD MILLION)
    • TABLE 81 LIVESTOCK MONITORING SOFTWARE: SMART AGRICULTURE MARKET, BY DEPLOYMENT TYPE, 2023-2028 (USD MILLION)
    • TABLE 82 PRECISION AQUACULTURE SOFTWARE: SMART AGRICULTURE MARKET, BY DEPLOYMENT TYPE, 2019-2022 (USD MILLION)
    • TABLE 83 PRECISION AQUACULTURE SOFTWARE: SMART AGRICULTURE MARKET, BY DEPLOYMENT TYPE, 2023-2028 (USD MILLION)
    • TABLE 84 PRECISION FORESTRY SOFTWARE: SMART AGRICULTURE MARKET, BY DEPLOYMENT TYPE, 2019-2022 (USD MILLION)
    • TABLE 85 PRECISION FORESTRY SOFTWARE: SMART AGRICULTURE MARKET, BY DEPLOYMENT TYPE, 2023-2028 (USD MILLION)
    • TABLE 86 SMART GREENHOUSE SOFTWARE: SMART AGRICULTURE MARKET, BY DEPLOYMENT TYPE, 2019-2022 (USD MILLION)
    • TABLE 87 SMART GREENHOUSE SOFTWARE: SMART AGRICULTURE MARKET, BY DEPLOYMENT TYPE, 2023-2028 (USD MILLION)
    • TABLE 88 OTHER SOFTWARE: SMART AGRICULTURE MARKET, BY DEPLOYMENT TYPE, 2019-2022 (USD MILLION)
    • TABLE 89 OTHER SOFTWARE: SMART AGRICULTURE MARKET, BY DEPLOYMENT TYPE, 2023-2028 (USD MILLION)
    • 8.3.1 ON-PREMISES SOFTWARE
      • 8.3.1.1 Offer lower cost of ownership
    • 8.3.2 ON-CLOUD
      • 8.3.2.1 Provide shared processing of resources and data to users
      • 8.3.2.2 Software-as-a-Service (SaaS)
        • 8.3.2.2.1 Allow users to connect to cloud-based applications over internet
      • 8.3.2.3 Platform-as-a-Service (PaaS)
        • 8.3.2.3.1 Help organizations to reduce upfront costs
    • 8.3.3 AI & DATA ANALYTICS
      • 8.3.3.1 Help improve harvest quality and accuracy
      • 8.3.3.2 Farm management software
        • 8.3.3.2.1 Used to optimize and manage farm operations and production activities
  • 8.4 SERVICES
    • TABLE 90 PRECISION FARMING SERVICES: SMART AGRICULTURE MARKET, BY TYPE, 2019-2022 (USD MILLION)
    • TABLE 91 PRECISION FARMING SERVICES: SMART AGRICULTURE MARKET, BY TYPE, 2023-2028 (USD MILLION)
    • TABLE 92 LIVESTOCK MONITORING SERVICES: SMART AGRICULTURE MARKET, BY TYPE, 2019-2022 (USD MILLION)
    • TABLE 93 LIVESTOCK MONITORING SERVICES: SMART AGRICULTURE MARKET, BY TYPE, 2023-2028 (USD MILLION)
    • TABLE 94 PRECISION AQUACULTURE SERVICES: SMART AGRICULTURE MARKET, BY TYPE, 2019-2022 (USD MILLION)
    • TABLE 95 PRECISION AQUACULTURE SERVICES: SMART AGRICULTURE MARKET, BY TYPE, 2023-2028 (USD MILLION)
    • TABLE 96 SMART GREENHOUSE SERVICES: SMART AGRICULTURE MARKET, BY TYPE, 2019-2022 (USD MILLION)
    • TABLE 97 SMART GREENHOUSE SERVICES: SMART AGRICULTURE MARKET, BY TYPE, 2023-2028 (USD MILLION)
    • TABLE 98 OTHER SERVICES: SMART AGRICULTURE MARKET, BY TYPE, 2019-2022 (USD MILLION)
    • TABLE 99 OTHER SERVICES: SMART AGRICULTURE MARKET, BY TYPE, 2023-2028 (USD MILLION)
    • 8.4.1 SYSTEM INTEGRATION AND CONSULTING SERVICES
      • 8.4.1.1 Involved in troubleshooting and diagnosing farm management issues
    • 8.4.2 MANAGED SERVICES
      • 8.4.2.1 Provide suggestions to farmers to enhance production
      • 8.4.2.2 Farm operation services
        • 8.4.2.2.1 Help generate records and integrate unstructured data
      • 8.4.2.3 Data services
        • 8.4.2.3.1 Provide common platform to meet demand and supply requirements
      • 8.4.2.4 Analytics services
        • 8.4.2.4.1 Provide right calls and alerts on farming operations
    • 8.4.3 CONNECTIVITY SERVICES
      • 8.4.3.1 Ensure proper communication between devices and end users
    • 8.4.4 ASSISTED PROFESSIONAL SERVICES
      • 8.4.4.1 Help improve and implement standards of projects
      • 8.4.4.2 Supply chain management services
        • 8.4.4.2.1 Help mitigate frequent hardware system failures
      • 8.4.4.3 Climate information services
        • 8.4.4.3.1 Help plan farming activities better
      • 8.4.4.4 Others
    • 8.4.5 MAINTENANCE AND SUPPORT SERVICES
      • 8.4.5.1 Ensure farm operations run smoothly and efficiently
      • 8.4.5.2 Installation and deployment services
        • 8.4.5.2.1 Ensure optimal machine performance

9 SMART AGRICULTURE MARKET, BY FARM SIZE

  • 9.1 INTRODUCTION
    • FIGURE 63 SMART AGRICULTURE MARKET, BY FARM SIZE
    • TABLE 100 SMART AGRICULTURE MARKET, BY FARM SIZE, 2019-2022 (USD MILLION)
    • FIGURE 64 MEDIUM-SIZED FARMS TO CAPTURE LARGEST SHARE OF SMART AGRICULTURE MARKET DURING FORECASAT PERIOD
    • TABLE 101 SMART AGRICULTURE MARKET, BY FARM SIZE, 2023-2028 (USD MILLION)
  • 9.2 LARGE FARMS
    • 9.2.1 HEAVILY RELY ON HIRED LABOR TO MANAGE THEIR OPERATIONS
    • TABLE 102 LARGE FARMS: SMART AGRICULTURE MARKET, BY REGION, 2019-2022 (USD MILLION)
    • FIGURE 65 AMERICAS EXPECTED TO LEAD SMART AGRICULTURE MARKET FOR LARGE FARMS FROM 2023 TO 2028
    • TABLE 103 LARGE FARMS: SMART AGRICULTURE MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 9.3 MEDIUM-SIZED FARMS
    • 9.3.1 POTENTIAL TO LOWER LABOR COSTS AND IMPROVE PRODUCTIVITY
    • TABLE 104 MEDIUM-SIZED FARMS: SMART AGRICULTURE MARKET, BY REGION, 2019-2022 (USD MILLION)
    • FIGURE 66 ASIA PACIFIC TO REGISTER FASTEST GROWTH RATE FOR MEDIUM-SIZED FARMS FROM 2023 TO 2028
    • TABLE 105 MEDIUM-SIZED FARMS: SMART AGRICULTURE MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 9.4 SMALL FARMS
    • 9.4.1 SMALL FARMS TO RECORD HIGHEST GROWTH RATE DURING FORECAST PERIOD
    • TABLE 106 SMALL FARMS: SMART AGRICULTURE MARKET, BY REGION, 2019-2022 (USD MILLION)
    • FIGURE 67 AMERICAS TO LEAD SMART AGRICULTURE MARKET FOR SMALL FARMS DURING FORECAST PERIOD
    • TABLE 107 SMALL FARMS: SMART AGRICULTURE MARKET, BY REGION, 2023-2028 (USD MILLION)

10 SMART AGRICULTURE MARKET, BY APPLICATION

  • 10.1 INTRODUCTION
    • FIGURE 68 SMART AGRICULTURE MARKET, BY APPLICATION
    • TABLE 108 SMART AGRICULTURE MARKET, BY APPLICATION, 2019-2022 (USD MILLION)
    • FIGURE 69 PRECISION FARMING SEGMENT TO ACCOUNT FOR LARGEST SHARE OF SMART AGRICULTURE MARKET IN 2023
    • TABLE 109 SMART AGRICULTURE MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
  • 10.2 PRECISION FARMING
    • 10.2.1 HELPS OPTIMIZE AGRICULTURAL PRODUCTION
    • TABLE 110 PRECISION FARMING: SMART AGRICULTURE MARKET, BY SUB-APPLICATION, 2019-2022 (USD MILLION)
    • FIGURE 70 YIELD MONITORING SEGMENT TO LEAD SMART AGRICULTURE MARKET FOR PRECISION FARMING APPLICATIONS FROM 2023 TO 2028
    • TABLE 111 PRECISION FARMING: SMART AGRICULTURE MARKET, BY SUB-APPLICATION, 2023-2028 (USD MILLION)
    • 10.2.2 YIELD MONITORING
      • 10.2.2.1 Helps farmers maximize their yield
    • TABLE 112 BENEFITS OF YIELD MONITORING
      • 10.2.2.2 On-farm yield monitoring
        • 10.2.2.2.1 Accurately measures quantity of crop harvested at specific locations and times
      • 10.2.2.3 Off-farm yield monitoring
        • 10.2.2.3.1 Beneficial for analyzing health of yield after harvesting
    • 10.2.3 CROP SCOUTING
      • 10.2.3.1 Critical crop management tool important for making timely decisions during harvesting
    • 10.2.4 FIELD MAPPING
      • 10.2.4.1 Helps farmers in decision-making related to yield production
      • 10.2.4.2 Boundary mapping
        • 10.2.4.2.1 Creates digital representation of field boundaries
      • 10.2.4.3 Drainage mapping
        • 10.2.4.3.1 Helps minimize water costs
    • 10.2.5 VARIABLE RATE APPLICATION
      • 10.2.5.1 Optimize crop input for efficient farming
      • 10.2.5.2 Precision irrigation
        • 10.2.5.2.1 Reduces water wastage and improves soil fertility
      • 10.2.5.3 Precision seeding
        • 10.2.5.3.1 Leads to uniform and high-quality produce
      • 10.2.5.4 Precision fertilization
        • 10.2.5.4.1 Provides ideal combination of hydration and nourishment to plant roots
      • 10.2.5.5 Pesticide VRA
        • 10.2.5.5.1 Prevents overuse of pesticides on crops
    • 10.2.6 WEATHER TRACKING & FORECASTING
      • 10.2.6.1 Helps take precautionary measures for farm protection from natural calamities
    • 10.2.7 INVENTORY MANAGEMENT
      • 10.2.7.1 Used to track and organize materials, irrigation parts, chemicals, and others
    • 10.2.8 FARM LABOR MANAGEMENT
      • 10.2.8.1 Helps track various activities of farm workers
    • 10.2.9 FINANCIAL MANAGEMENT
      • 10.2.9.1 Helps farmers or growers make strategic decisions
    • 10.2.10 OTHERS
  • 10.3 LIVESTOCK MONITORING
    • 10.3.1 ENABLES REAL-TIME MONITORING OF HEALTH AND WELL-BEING OF ANIMALS
    • TABLE 113 LIVESTOCK MONITORING: SMART AGRICULTURE MARKET, BY SUB-APPLICATION, 2019-2022 (USD MILLION)
    • FIGURE 71 BREEDING MANAGEMENT SEGMENT OF LIVESTOCK MONITORING TO CAPTURE LARGEST MARKET SHARE DURING FORECAST PERIOD
    • TABLE 114 LIVESTOCK MONITORING: SMART AGRICULTURE MARKET, BY SUB-APPLICATION, 2023-2028 (USD MILLION)
    • 10.3.2 MILK HARVESTING MANAGEMENT
      • 10.3.2.1 Reduces labor costs and increases milking efficiency through automated milk harvesting
    • 10.3.3 BREEDING MANAGEMENT
      • 10.3.3.1 Helps increase animal productivity in long term
    • 10.3.4 FEEDING MANAGEMENT
      • 10.3.4.1 Helps accurately formulate cow's diet
    • 10.3.5 HEAT STRESS MANAGEMENT
      • 10.3.5.1 Reduces cattle mortality rate due to improper ventilation
    • 10.3.6 ANIMAL COMFORT MANAGEMENT
      • 10.3.6.1 Helps ensure animal health and well-being
    • 10.3.7 BEHAVIOR MONITORING AND CONTROL
      • 10.3.7.1 Provides early detection of any deviations in animal behavior
    • 10.3.8 OTHERS
  • 10.4 PRECISION AQUACULTURE
    • 10.4.1 HELPS OPTIMIZE AQUACULTURE PRODUCTION AND MANAGEMENT
    • TABLE 115 PRECISION AQUACULTURE: SMART AGRICULTURE MARKET, BY SUB-APPLICATION, 2019-2022 (USD MILLION)
    • FIGURE 72 FEEDING MANAGEMENT TO LEAD PRECISION AQUACULTURE MARKET FROM 2023 TO 2028
    • TABLE 116 PRECISION AQUACULTURE: SMART AGRICULTURE MARKET, BY SUB-APPLICATION, 2023-2028 (USD MILLION)
    • 10.4.2 FEEDING MANAGEMENT
      • 10.4.2.1 Helps avoid overfeeding
    • 10.4.3 MONITORING, CONTROL, AND SURVEILLANCE
      • 10.4.3.1 Minimize waste and environmental impact
    • 10.4.4 OTHERS
  • 10.5 PRECISION FORESTRY
    • 10.5.1 HELPS IMPROVE SUSTAINABILITY OF FORESTRY PRACTICES
    • TABLE 117 PRECISION FORESTRY MARKET, BY SUB-APPLICATION, 2019-2022 (USD MILLION)
    • TABLE 118 PRECISION FORESTRY MARKET, BY SUB-APPLICATION, 2023-2028 (USD MILLION)
    • 10.5.2 GENETICS AND NURSERIES
      • 10.5.2.1 Use of UAVs in seed planting is highly efficient and time-saving
    • 10.5.3 SILVICULTURE AND FIRE MANAGEMENT
      • 10.5.3.1 Minimize damage and casualties due to wildfires
    • 10.5.4 HARVESTING MANAGEMENT
      • 10.5.4.1 Reduces damage to forests and maximizes yield of wood products
    • 10.5.5 INVENTORY AND LOGISTICS MANAGEMENT
      • 10.5.5.1 Diminishes manual error and enables quick reporting and data processing
  • 10.6 SMART GREENHOUSE
    • 10.6.1 BENEFICIAL FOR INDOOR CROPS
    • TABLE 119 SMART GREENHOUSE: SMART AGRICULTURE MARKET, BY SUB-APPLICATION, 2019-2022 (USD MILLION)
    • FIGURE 73 HVAC MANAGEMENT TO CAPTURE LARGEST SHARE OF SMART GREENHOUSE MARKET
    • TABLE 120 SMART GREENHOUSE: SMART AGRICULTURE MARKET, BY SUB-APPLICATION, 2023-2028 (USD MILLION)
    • 10.6.2 HVAC MANAGEMENT
      • 10.6.2.1 Regulates temperature for favorable plant growth
    • 10.6.3 YIELD MONITORING AND HARVESTING
      • 10.6.3.1 Improves efficiency and productivity of greenhouse operations
    • 10.6.4 WATER AND FERTILIZER MANAGEMENT
      • 10.6.4.1 Reduces water waste and production costs of greenhouses
    • 10.6.5 OTHERS
  • 10.7 OTHERS

11 SMART AGRICULTURE MARKET, BY REGION

  • 11.1 INTRODUCTION
    • FIGURE 74 REGIONAL CLASSIFICATION OF SMART AGRICULTURE MARKET
    • TABLE 121 SMART AGRICULTURE MARKET, BY REGION, 2019-2022 (USD MILLION)
    • FIGURE 75 ASIA PACIFIC TO WITNESS HIGHEST CAGR IN SMART AGRICULTURE MARKET DURING FORECAST PERIOD
    • TABLE 122 SMART AGRICULTURE MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 11.2 AMERICAS
    • FIGURE 76 AMERICAS: SMART AGRICULTURE MARKET SNAPSHOT
    • TABLE 123 AMERICAS: SMART AGRICULTURE MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 124 AMERICAS: SMART AGRICULTURE MARKET, BY REGION, 2023-2028 (USD MILLION)
    • TABLE 125 AMERICAS: SMART AGRICULTURE MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 126 AMERICAS: SMART AGRICULTURE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 127 AMERICAS: SMART AGRICULTURE MARKET, BY AGRICULTURE TYPE, 2019-2022 (USD MILLION)
    • TABLE 128 AMERICAS: SMART AGRICULTURE MARKET, BY AGRICULTURE TYPE, 2023-2028 (USD MILLION)
    • 11.2.1 NORTH AMERICA
    • TABLE 129 NORTH AMERICA: SMART AGRICULTURE MARKET, BY COUNTRY, 2019-2022 (USD MILLION)
    • FIGURE 77 US TO ACCOUNT FOR LARGEST SHARE OF SMART AGRICULTURE MARKET IN 2023
    • TABLE 130 NORTH AMERICA: SMART AGRICULTURE MARKET, BY COUNTRY, 2023-2028 (USD MILLION)
    • TABLE 131 NORTH AMERICA: SMART AGRICULTURE MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 132 NORTH AMERICA: SMART AGRICULTURE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
      • 11.2.1.1 US
        • 11.2.1.1.1 Presence of key players to boost market growth
      • 11.2.1.2 Canada
        • 11.2.1.2.1 Government initiatives and investments to fuel market growth
      • 11.2.1.3 Mexico
        • 11.2.1.3.1 Government initiatives promoting use of remote sensing technology to accelerate market growth
    • 11.2.2 SOUTH AMERICA
    • TABLE 133 SOUTH AMERICA: SMART AGRICULTURE MARKET, BY COUNTRY, 2019-2022 (USD MILLION)
    • FIGURE 78 BRAZIL TO CAPTURE LARGEST MARKET SHARE IN 2023
    • TABLE 134 SOUTH AMERICA: SMART AGRICULTURE MARKET, BY COUNTRY, 2023-2028 (USD MILLION)
    • TABLE 135 SOUTH AMERICA: SMART AGRICULTURE MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 136 SOUTH AMERICA: SMART AGRICULTURE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
      • 11.2.2.1 Brazil
        • 11.2.2.1.1 Availability of large lands at low cost to propel market
      • 11.2.2.2 Argentina
        • 11.2.2.2.1 Highest CAGR during forecast period to lead to market growth
      • 11.2.2.3 Rest of South America
  • 11.3 EUROPE
    • FIGURE 79 EUROPE: SMART AGRICULTURE MARKET SNAPSHOT
    • TABLE 137 EUROPE: SMART AGRICULTURE MARKET, BY COUNTRY, 2019-2022 (USD MILLION)
    • FIGURE 80 GERMANY TO ACCOUNT FOR LARGEST MARKET SHARE DURING FORECAST PERIOD
    • TABLE 138 EUROPE: SMART AGRICULTURE MARKET, BY COUNTRY, 2023-2028 (USD MILLION)
    • TABLE 139 EUROPE: SMART AGRICULTURE MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 140 EUROPE: SMART AGRICULTURE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 141 EUROPE: SMART AGRICULTURE MARKET, BY AGRICULTURE TYPE, 2019-2022 (USD MILLION)
    • TABLE 142 EUROPE: SMART AGRICULTURE MARKET, BY AGRICULTURE TYPE, 2023-2028 (USD MILLION)
    • 11.3.1 GERMANY
      • 11.3.1.1 Presence of livestock farms to drive market growth
    • 11.3.2 UK
      • 11.3.2.1 Conducive environment to carry out innovations supports market growth
    • 11.3.3 FRANCE
      • 11.3.3.1 Increased adoption of smart agriculture technologies in country to drive market growth
    • 11.3.4 ITALY
      • 11.3.4.1 Gradual shift toward smart farming techniques to spur market growth
    • 11.3.5 NETHERLANDS
      • 11.3.5.1 Rising adoption of advanced technologies for harvesting processes to fuel market growth
    • 11.3.6 REST OF EUROPE
  • 11.4 ASIA PACIFIC
    • FIGURE 81 ASIA PACIFIC: SMART AGRICULTURE MARKET SNAPSHOT
    • TABLE 143 ASIA PACIFIC: SMART AGRICULTURE MARKET, BY COUNTRY, 2019-2022 (USD MILLION)
    • FIGURE 82 CHINA TO REGISTER HIGHEST CAGR IN SMART AGRICULTURE MARKET DURING FORECAST PERIOD
    • TABLE 144 ASIA PACIFIC: SMART AGRICULTURE MARKET, BY COUNTRY, 2023-2028 (USD MILLION)
    • TABLE 145 ASIA PACIFIC: SMART AGRICULTURE MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 146 ASIA PACIFIC: SMART AGRICULTURE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 147 ASIA PACIFIC: SMART AGRICULTURE MARKET, BY AGRICULTURE TYPE, 2019-2022 (USD MILLION)
    • TABLE 148 ASIA PACIFIC: SMART AGRICULTURE MARKET, BY AGRICULTURE TYPE, 2023-2028 (USD MILLION)
    • 11.4.1 CHINA
      • 11.4.1.1 Government to play key role in country's agriculture sector growth
    • 11.4.2 JAPAN
      • 11.4.2.1 Labor shortage to fuel demand for smart agriculture solutions
    • 11.4.3 AUSTRALIA
      • 11.4.3.1 Government support and presence of research organizations to play major role in market growth
    • 11.4.4 INDIA
      • 11.4.4.1 Government initiatives and players' contributions to increase adoption of smart agriculture solutions
    • 11.4.5 SOUTH KOREA
      • 11.4.5.1 Rising need to produce high-value agricultural products to fuel market growth
    • 11.4.6 REST OF ASIA PACIFIC
  • 11.5 ROW
    • TABLE 149 ROW: SMART AGRICULTURE MARKET, BY REGION/COUNTRY, 2019-2022 (USD MILLION)
    • TABLE 150 ROW: SMART AGRICULTURE MARKET, BY REGION/COUNTRY, 2023-2028 (USD MILLION)
    • TABLE 151 ROW: SMART AGRICULTURE MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 152 ROW: SMART AGRICULTURE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 153 ROW: SMART AGRICULTURE MARKET, BY AGRICULTURE TYPE, 2019-2022 (USD MILLION)
    • TABLE 154 ROW: SMART AGRICULTURE MARKET, BY AGRICULTURE TYPE, 2023-2028 (USD MILLION)
    • 11.5.1 RUSSIA
      • 11.5.1.1 Increasing awareness about benefits of smart agriculture in country to support market
    • 11.5.2 AFRICA
      • 11.5.2.1 Increasing awareness among farmers to contribute to market growth
    • 11.5.3 MIDDLE EAST
      • 11.5.3.1 Rapid developments in big data analytics and cloud-computing platforms to drive market growth

12 COMPETITIVE LANDSCAPE

  • 12.1 OVERVIEW
  • 12.2 MARKET EVALUATION FRAMEWORK
    • TABLE 155 REVIEW OF STRATEGIES ADOPTED BY KEY SMART AGRICULTURE MANUFACTURERS
    • 12.2.1 PRODUCT PORTFOLIO
    • 12.2.2 REGIONAL FOCUS
    • 12.2.3 MANUFACTURING FOOTPRINT
    • 12.2.4 ORGANIC/INORGANIC STRATEGIES
  • 12.3 MARKET SHARE ANALYSIS, 2022
    • FIGURE 83 MARKET SHARE ANALYSIS OF TOP FIVE PLAYERS IN SMART AGRICULTURE MARKET, 2022
    • TABLE 156 MARKET SHARE ANALYSIS OF TOP FIVE COMPANIES, 2022
  • 12.4 REVENUE ANALYSIS: TOP FOUR COMPANIES (2018-2022)
    • FIGURE 84 FIVE-YEAR REVENUE ANALYSIS OF TOP FOUR PLAYERS IN SMART AGRICULTURE MARKET, 2018-2022
  • 12.5 COMPANY EVALUATION QUADRANT, 2022
    • 12.5.1 STARS
    • 12.5.2 EMERGING LEADERS
    • 12.5.3 PERVASIVE PLAYERS
    • 12.5.4 PARTICIPANTS
    • FIGURE 85 COMPANY EVALUATION QUADRANT, 2022
  • 12.6 COMPANY FOOTPRINT
    • TABLE 157 COMPANY OFFERING FOOTPRINT
    • TABLE 158 COMPANY APPLICATION FOOTPRINT
    • TABLE 159 COMPANY REGION FOOTPRINT
    • TABLE 160 COMPANY OVERALL FOOTPRINT
  • 12.7 STARTUPS/SMES EVALUATION MATRIX/QUADRANT, 2022
    • 12.7.1 COMPETITIVE BENCHMARKING
    • TABLE 161 SMART AGRICULTURE MARKET: DETAILED LIST OF KEY STARTUPS/SMES
    • TABLE 162 SMART AGRICULTURE MARKET: COMPETITIVE BENCHMARKING OF KEY PLAYERS (STARTUPS/SMES)
    • 12.7.2 PROGRESSIVE COMPANIES
    • 12.7.3 RESPONSIVE COMPANIES
    • 12.7.4 DYNAMIC COMPANIES
    • 12.7.5 STARTING BLOCKS
    • FIGURE 86 STARTUPS/SMES EVALUATION QUADRANT, 2022
  • 12.8 COMPETITIVE SCENARIO
    • 12.8.1 PRODUCT LAUNCHES
    • TABLE 163 PRODUCT LAUNCHES AND DEVELOPMENTS, 2020-2022
    • 12.8.2 DEALS
    • TABLE 164 DEALS, 2020-2022
    • 12.8.3 OTHERS
    • TABLE 165 OTHERS, 2020-2022

13 COMPANY PROFILES

(Business overview, Products/Services/Solutions offered, Recent Developments, MNM view)*

  • 13.1 KEY PLAYERS
    • 13.1.1 DEERE & COMPANY
    • TABLE 166 DEERE & COMPANY: BUSINESS OVERVIEW
    • FIGURE 87 DEERE & COMPANY: COMPANY SNAPSHOT
    • TABLE 167 DEERE & COMPANY: PRODUCT LAUNCHES
    • TABLE 168 DEERE & COMPANY: DEALS
    • 13.1.2 TRIMBLE INC.
    • TABLE 169 TRIMBLE INC.: BUSINESS OVERVIEW
    • FIGURE 88 TRIMBLE INC.: COMPANY SNAPSHOT
    • TABLE 170 TRIMBLE INC.: PRODUCT LAUNCHES
    • TABLE 171 TRIMBLE INC.: DEALS
    • 13.1.3 AGCO CORPORATION (PRECISION PLANTING, LLC)
    • TABLE 172 AGCO CORPORATION: BUSINESS OVERVIEW
    • FIGURE 89 AGCO CORPORATION: COMPANY SNAPSHOT
    • TABLE 173 AGCO CORPORATION: PRODUCT LAUNCHES
    • TABLE 174 AGCO CORPORATION: DEALS
    • TABLE 175 AGCO CORPORATION: OTHERS
    • 13.1.4 TOPCON POSITIONING SYSTEMS
    • TABLE 176 TOPCON POSITIONING SYSTEMS: BUSINESS OVERVIEW
    • TABLE 177 TOPCON POSITIONING SYSTEMS: PRODUCT LAUNCHES
    • TABLE 178 TOPCON POSITIONING SYSTEMS: DEALS
    • TABLE 179 TOPCON POSITIONING SYSTEMS: OTHERS
    • 13.1.5 DELAVAL
    • TABLE 180 DELAVAL: BUSINESS OVERVIEW
    • FIGURE 90 DELAVAL: COMPANY SNAPSHOT
    • TABLE 181 DELAVAL: PRODUCT LAUNCHES
    • TABLE 182 DELAVAL: DEALS
    • 13.1.6 AKVA GROUP
    • TABLE 183 AKVA GROUP: BUSINESS OVERVIEW
    • FIGURE 91 AKVA GROUP: COMPANY SNAPSHOT
    • TABLE 184 AKVA GROUP: DEALS
    • 13.1.7 ALLFLEX LIVESTOCK INTELLIGENCE (MSD ANIMAL HEALTH)
    • TABLE 185 ALLFLEX LIVESTOCK INTELLIGENCE: BUSINESS OVERVIEW
    • TABLE 186 ALLFLEX LIVESTOCK INTELLIGENCE: PRODUCT LAUNCHES
    • TABLE 187 ALLFLEX LIVESTOCK INTELLIGENCE: DEALS
    • TABLE 188 ALLFLEX LIVESTOCK INTELLIGENCE: OTHERS
    • 13.1.8 INNOVASEA SYSTEMS INC.
    • TABLE 189 INNOVASEA SYSTEMS INC.: BUSINESS OVERVIEW
    • TABLE 190 INNOVASEA SYSTEMS INC.: PRODUCT LAUNCHES
    • TABLE 191 INNOVASEA SYSTEMS INC.: DEALS
    • TABLE 192 INNOVASEA SYSTEMS INC.: OTHERS
    • 13.1.9 AFIMILK LTD.
    • TABLE 193 AFIMILK LTD.: BUSINESS OVERVIEW
    • TABLE 194 AFIMILK LTD.: DEALS
    • 13.1.10 HELIOSPECTRA AB
    • TABLE 195 HELIOSPECTRA AB: BUSINESS OVERVIEW
    • FIGURE 92 HELIOSPECTRA AB: COMPANY SNAPSHOT
    • TABLE 196 HELIOSPECTRA AB: PRODUCT LAUNCHES
    • TABLE 197 HELIOSPECTRA AB: DEALS
  • 13.2 OTHER PLAYERS
    • 13.2.1 PONSSE OYJ
    • 13.2.2 RAVEN INDUSTRIES, INC. (CNH INDUSTRIAL N.V.)
    • 13.2.3 KOMATSU FOREST
    • 13.2.4 SCALEAQ
    • 13.2.5 TIGERCAT INTERNATIONAL INC.
    • 13.2.6 AG LEADER TECHNOLOGY
    • 13.2.7 CERTHON
    • 13.2.8 NEDAP N.V.
    • 13.2.9 AGJUNCTION LLC
    • 13.2.10 ARGUS CONTROL SYSTEMS LIMITED
    • 13.2.11 DAIRYMASTER
    • 13.2.12 DICKEY-JOHN
    • 13.2.13 ABACO GROUP
    • 13.2.14 TEEJET TECHNOLOGIES
    • 13.2.15 FANCOM BV (SUBSIDIARY OF CTB, INC.)
    • 13.2.16 LUMIGROW, INC.
    • 13.2.17 CERES IMAGING, INC.
    • 13.2.18 SENSAPHONE
    • 13.2.19 BOUMATIC
    • 13.2.20 CPI EQUIPMENT INC.

Details on Business overview, Products/Services/Solutions offered, Recent Developments, MNM view might not be captured in case of unlisted companies.

14 APPENDIX

  • 14.1 DISCUSSION GUIDE
  • 14.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 14.3 CUSTOMIZATION OPTIONS
  • 14.4 RELATED REPORTS
  • 14.5 AUTHOR DETAILS