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Global Smart Agriculture Market Report and Forecast 2024-2032

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    Report

  • 188 Pages
  • May 2024
  • Region: Global
  • Expert Market Research
  • ID: 5973854
According to the report, the global smart agriculture market size reached approximately USD 16.50 billion in 2023. Aided by the rapidly growing global population and the growing concerns regarding adverse climate conditions, the market is projected to grow at a CAGR of 9% between 2024 and 2032, reaching a value of around USD 36.07 billion by 2032.

Smart agriculture refers to the utilisation of technology, including location systems, the Internet of things, artificial intelligence, robots, and sensors for enhancing the quality and quantity of the crop yield. The adoption of smart farming enhances overall plant productivity, optimises water, electricity, and fuel usage, and reduces waste.

By adopting smart agriculture practices, farmers can achieve higher crop yields, reduce the use of water, fertilisers, and pesticides, minimise the impact on the natural ecosystem, improve the quality of produce, and increase profitability.

One of the most pressing challenges facing the world today is the need to feed a rapidly growing global population. This demographic expansion escalates the demand for food, necessitating substantial increases in agricultural productivity. Smart agriculture technologies offer a viable solution by enabling more precise and efficient farming practices, significantly enhancing crop yields and optimising resource use. This is one of the key smart agriculture market trends.

The impacts of climate change on agriculture, including unpredictable weather patterns and extreme climate events, underscore the need for more resilient and adaptable farming practices. Smart agriculture technologies, through precise monitoring and management of agricultural environments, help in mitigating the effects of climate change. They enable farmers to use water, fertilisers, and pesticides more efficiently, reducing the environmental footprint of farming and promoting sustainability.

Governments worldwide are increasingly investing in the development of the smart agriculture market while recognising the potential of smart agriculture to address food security, environmental sustainability, and economic challenges. As a result, many are implementing policies and programmes that promote the adoption of smart agriculture technologies. These initiatives often include financial incentives, research and development support, and infrastructure investments, making it easier for farmers to adopt these innovative practices.

There is a growing awareness among farmers and agricultural businesses of the need for sustainable farming practices. This shift is driven by consumer demand for environmentally friendly products, regulatory pressures, and the agricultural sector's recognition of its environmental impact. Smart agriculture aligns with this shift by enabling precision farming, which minimises waste and maximises efficiency, leading to more sustainable outcomes.

Innovations in IoT and AI are at the forefront of driving the smart agriculture market. IoT devices, such as soil sensors and climate conditions monitors, provide precise data on field conditions, while AI algorithms analyse this data to predict crop health and optimise irrigation and fertilisation schedules. Drones and satellites offer aerial imagery that assists in monitoring crop growth, assessing plant health, and planning efficient harvesting routes. Moreover, farm management software integrates all these data points, offering a comprehensive dashboard that aids in decision-making and operational planning.

The adoption of smart agriculture varies significantly across regions, influenced by factors such as technological infrastructure, government policies, and the agricultural sector's significance to the local economy. North America and Europe are leading in the global smart agriculture market share, thanks to their advanced technological infrastructure and supportive government policies.

Meanwhile, the Asia Pacific is emerging as a fast-growing market, driven by the need to enhance food production to meet the demands of its rapidly growing population. Countries like China, India, and Japan are investing heavily in smart agriculture technologies, recognising their potential to transform the agricultural sector, propelling the smart agriculture market expansion.

Market Segmentation

The global smart agriculture market can be divided based on agriculture type, offering, application, and region.

Market Breakup by Agriculture Type

  • Precision Farming
  • Livestock Monitoring
  • Smart Greenhouse
  • Others

Market Breakup by Offering

  • Hardware
  • Software
  • Service

Market Breakup by Application

  • Precision Farming Application
  • Livestock Monitoring Application
  • Smart Greenhouse Application
  • Others

Market Breakup by Region

  • North America
  • Europe
  • Asia Pacific
  • Latin America
  • Middle East and Africa

Competitive Landscape

The report looks into the market shares, plant turnarounds, capacities, investments, and mergers and acquisitions, among other major developments, of the leading companies operating in the global smart agriculture market. Some of the major players explored in the report are as follows:
  • AGCO Corporation
  • Trimble Inc.
  • Deere & Company
  • Raven Industries, Inc.
  • Argus Control Systems Limited
  • ams-OSRAM AG
  • CLAAS KGaA mbH
  • Topcon Positioning Systems, Inc.
  • TSI Incorporated (DICKEY-john)
  • DroneDeploy, Inc.
  • Others

Table of Contents

1 Preface2 Report Coverage - Key Segmentation and Scope
3 Report Description
3.1 Market Definition and Outlook
3.2 Properties and Applications
3.3 Market Analysis
3.4 Key Players
4 Key Assumptions
5 Executive Summary
5.1 Overview
5.2 Key Drivers
5.3 Key Developments
5.4 Competitive Structure
5.5 Key Industrial Trends
6 Market Snapshot
6.1 Global
6.2 Regional
7 Opportunities and Challenges in the Market
8 Global Smart Agriculture Market Analysis
8.1 Key Industry Highlights
8.2 Global Smart Agriculture Historical Market (2018-2023)
8.3 Global Smart Agriculture Market Forecast (2024-2032)
8.4 Global Smart Agriculture Market by Agriculture Type
8.4.1 Precision Farming
8.4.1.1 Historical Trend (2018-2023)
8.4.1.2 Forecast Trend (2024-2032)
8.4.2 Livestock Monitoring
8.4.2.1 Historical Trend (2018-2023)
8.4.2.2 Forecast Trend (2024-2032)
8.4.3 Smart Greenhouse
8.4.3.1 Historical Trend (2018-2023)
8.4.3.2 Forecast Trend (2024-2032)
8.4.4 Others
8.5 Global Smart Agriculture Market by Offering
8.5.1 Hardware
8.5.1.1 Historical Trend (2018-2023)
8.5.1.2 Forecast Trend (2024-2032)
8.5.1.3 Breakup by Type
8.5.1.3.1 Automation and Control Systems
8.5.1.3.2 Sensing Devices
8.5.1.3.3 HVAC System
8.5.1.3.4 LED Grow Light
8.5.1.3.5 Others
8.5.2 Software
8.5.2.1 Historical Trend (2018-2023)
8.5.2.2 Forecast Trend (2024-2032)
8.5.3 Service
8.5.3.1 Historical Trend (2018-2023)
8.5.3.2 Forecast Trend (2024-2032)
8.5.3.3 Breakup by Type
8.5.3.3.1 System Integration and Consulting
8.5.3.3.2 Maintenance and Support
8.5.3.3.3 Managed Services
8.5.3.3.4 Assisted Professional Services
8.6 Global Smart Agriculture Market by Application
8.6.1 Precision Farming Application
8.6.1.1 Historical Trend (2018-2023)
8.6.1.2 Forecast Trend (2024-2032)
8.6.1.3 Breakup by Type
8.6.1.3.1 Yield Monitoring
8.6.1.3.2 Field Mapping
8.6.1.3.3 Crop Scouting
8.6.1.3.4 Weather Tracking and Forecasting
8.6.1.3.5 Irrigation Management
8.6.1.3.6 Inventory Management
8.6.1.3.7 Farm Labour Management
8.6.2 Livestock Monitoring Application
8.6.2.1 Historical Trend (2018-2023)
8.6.2.2 Forecast Trend (2024-2032)
8.6.2.3 Breakup by Type
8.6.2.3.1 Milk Harvesting
8.6.2.3.2 Breeding Management
8.6.2.3.3 Feeding Management
8.6.2.3.4 Animal Comfort Management
8.6.2.3.5 Others
8.6.3 Smart Greenhouse Application
8.6.3.1 Historical Trend (2018-2023)
8.6.3.2 Forecast Trend (2024-2032)
8.6.3.3 Breakup by Type
8.6.3.3.1 Water and Fertilizer Management
8.6.3.3.2 HVAC Management
8.6.3.3.3 Yield Monitoring
8.6.3.3.4 Others
8.6.4 Others
8.7 Global Smart Agriculture Market by Region
8.7.1 North America
8.7.1.1 Historical Trend (2018-2023)
8.7.1.2 Forecast Trend (2024-2032)
8.7.2 Europe
8.7.2.1 Historical Trend (2018-2023)
8.7.2.2 Forecast Trend (2024-2032)
8.7.3 Asia Pacific
8.7.3.1 Historical Trend (2018-2023)
8.7.3.2 Forecast Trend (2024-2032)
8.7.4 Latin America
8.7.4.1 Historical Trend (2018-2023)
8.7.4.2 Forecast Trend (2024-2032)
8.7.5 Middle East and Africa
8.7.5.1 Historical Trend (2018-2023)
8.7.5.2 Forecast Trend (2024-2032)
9 North America Smart Agriculture Market Analysis
9.1 United States of America
9.1.1 Historical Trend (2018-2023)
9.1.2 Forecast Trend (2024-2032)
9.2 Canada
9.2.1 Historical Trend (2018-2023)
9.2.2 Forecast Trend (2024-2032)
10 Europe Smart Agriculture Market Analysis
10.1 United Kingdom
10.1.1 Historical Trend (2018-2023)
10.1.2 Forecast Trend (2024-2032)
10.2 Germany
10.2.1 Historical Trend (2018-2023)
10.2.2 Forecast Trend (2024-2032)
10.3 France
10.3.1 Historical Trend (2018-2023)
10.3.2 Forecast Trend (2024-2032)
10.4 Italy
10.4.1 Historical Trend (2018-2023)
10.4.2 Forecast Trend (2024-2032)
10.5 Others
11 Asia Pacific Smart Agriculture Market Analysis
11.1 China
11.1.1 Historical Trend (2018-2023)
11.1.2 Forecast Trend (2024-2032)
11.2 Japan
11.2.1 Historical Trend (2018-2023)
11.2.2 Forecast Trend (2024-2032)
11.3 India
11.3.1 Historical Trend (2018-2023)
11.3.2 Forecast Trend (2024-2032)
11.4 ASEAN
11.4.1 Historical Trend (2018-2023)
11.4.2 Forecast Trend (2024-2032)
11.5 Australia
11.5.1 Historical Trend (2018-2023)
11.5.2 Forecast Trend (2024-2032)
11.6 Others
12 Latin America Smart Agriculture Market Analysis
12.1 Brazil
12.1.1 Historical Trend (2018-2023)
12.1.2 Forecast Trend (2024-2032)
12.2 Argentina
12.2.1 Historical Trend (2018-2023)
12.2.2 Forecast Trend (2024-2032)
12.3 Mexico
12.3.1 Historical Trend (2018-2023)
12.3.2 Forecast Trend (2024-2032)
12.4 Others
13 Middle East and Africa Smart Agriculture Market Analysis
13.1 Saudi Arabia
13.1.1 Historical Trend (2018-2023)
13.1.2 Forecast Trend (2024-2032)
13.2 United Arab Emirates
13.2.1 Historical Trend (2018-2023)
13.2.2 Forecast Trend (2024-2032)
13.3 Nigeria
13.3.1 Historical Trend (2018-2023)
13.3.2 Forecast Trend (2024-2032)
13.4 South Africa
13.4.1 Historical Trend (2018-2023)
13.4.2 Forecast Trend (2024-2032)
13.5 Others
14 Market Dynamics
14.1 SWOT Analysis
14.1.1 Strengths
14.1.2 Weaknesses
14.1.3 Opportunities
14.1.4 Threats
14.2 Porter’s Five Forces Analysis
14.2.1 Supplier’s Power
14.2.2 Buyer’s Power
14.2.3 Threat of New Entrants
14.2.4 Degree of Rivalry
14.2.5 Threat of Substitutes
14.3 Key Indicators for Demand
14.4 Key Indicators for Price
15 Competitive Landscape
15.1 Market Structure
15.2 Company Profiles
15.2.1 AGCO Corporation
15.2.1.1 Company Overview
15.2.1.2 Product Portfolio
15.2.1.3 Demographic Reach and Achievements
15.2.1.4 Certifications
15.2.2 Trimble Inc.
15.2.2.1 Company Overview
15.2.2.2 Product Portfolio
15.2.2.3 Demographic Reach and Achievements
15.2.2.4 Certifications
15.2.3 Deere & Company
15.2.3.1 Company Overview
15.2.3.2 Product Portfolio
15.2.3.3 Demographic Reach and Achievements
15.2.3.4 Certifications
15.2.4 Raven Industries, Inc.
15.2.4.1 Company Overview
15.2.4.2 Product Portfolio
15.2.4.3 Demographic Reach and Achievements
15.2.4.4 Certifications
15.2.5 Argus Control Systems Limited
15.2.5.1 Company Overview
15.2.5.2 Product Portfolio
15.2.5.3 Demographic Reach and Achievements
15.2.5.4 Certifications
15.2.6 ams-OSRAM AG
15.2.6.1 Company Overview
15.2.6.2 Product Portfolio
15.2.6.3 Demographic Reach and Achievements
15.2.6.4 Certifications
15.2.7 CLAAS KGaA mbH
15.2.7.1 Company Overview
15.2.7.2 Product Portfolio
15.2.7.3 Demographic Reach and Achievements
15.2.7.4 Certifications
15.2.8 Topcon Positioning Systems, Inc.
15.2.8.1 Company Overview
15.2.8.2 Product Portfolio
15.2.8.3 Demographic Reach and Achievements
15.2.8.4 Certifications
15.2.9 TSI Incorporated (DICKEY-john)
15.2.9.1 Company Overview
15.2.9.2 Product Portfolio
15.2.9.3 Demographic Reach and Achievements
15.2.9.4 Certifications
15.2.10 DroneDeploy, Inc.
15.2.10.1 Company Overview
15.2.10.2 Product Portfolio
15.2.10.3 Demographic Reach and Achievements
15.2.10.4 Certifications
15.2.11 Others
16 Key Trends and Developments in the Market
List of Key Figures and Tables
1. Global Smart Agriculture Market: Key Industry Highlights, 2018 and 2032
2. Global Smart Agriculture Historical Market: Breakup by Agriculture Type (USD Billion), 2018-2023
3. Global Smart Agriculture Market Forecast: Breakup by Agriculture Type (USD Billion), 2024-2032
4. Global Smart Agriculture Historical Market: Breakup by Offering (USD Billion), 2018-2023
5. Global Smart Agriculture Market Forecast: Breakup by Offering (USD Billion), 2024-2032
6. Global Smart Agriculture Historical Market: Breakup by Application (USD Billion), 2018-2023
7. Global Smart Agriculture Market Forecast: Breakup by Application (USD Billion), 2024-2032
8. Global Smart Agriculture Historical Market: Breakup by Region (USD Billion), 2018-2023
9. Global Smart Agriculture Market Forecast: Breakup by Region (USD Billion), 2024-2032
10. North America Smart Agriculture Historical Market: Breakup by Country (USD Billion), 2018-2023
11. North America Smart Agriculture Market Forecast: Breakup by Country (USD Billion), 2024-2032
12. Europe Smart Agriculture Historical Market: Breakup by Country (USD Billion), 2018-2023
13. Europe Smart Agriculture Market Forecast: Breakup by Country (USD Billion), 2024-2032
14. Asia Pacific Smart Agriculture Historical Market: Breakup by Country (USD Billion), 2018-2023
15. Asia Pacific Smart Agriculture Market Forecast: Breakup by Country (USD Billion), 2024-2032
16. Latin America Smart Agriculture Historical Market: Breakup by Country (USD Billion), 2018-2023
17. Latin America Smart Agriculture Market Forecast: Breakup by Country (USD Billion), 2024-2032
18. Middle East and Africa Smart Agriculture Historical Market: Breakup by Country (USD Billion), 2018-2023
19. Middle East and Africa Smart Agriculture Market Forecast: Breakup by Country (USD Billion), 2024-2032
20. Global Smart Agriculture Market Structure

Companies Mentioned

  • AGCO Corporation
  • Trimble Inc.
  • Deere & Company
  • Raven Industries, Inc.
  • Argus Control Systems Limited
  • ams-OSRAM AG
  • CLAAS KGaA mbH
  • Topcon Positioning Systems, Inc.
  • TSI Incorporated (DICKEY-john)
  • DroneDeploy, Inc.

Methodology

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Table Information