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South America Smart Agriculture Market Outlook, 2029

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    Report

  • 82 Pages
  • October 2024
  • Bonafide Research
  • ID: 6050775
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It has been researched that South America is associated with the production and export of a diverse range of agricultural products like coffee from Brazil and Colombia, beef from Argentina and bananas from Ecuador. The region accounts for more than 16% of the total global food and agriculture exports, whereas 4% of the same are imports. The Asia-Pacific region is one of the few parts of the world with significant resources of unexploited agricultural land. In recent years many countries in this region have achieved respectable rates of agricultural productivity growth. Therefore, the rising productivity will be essential to meet the domestic food needs or to enhance the export competitiveness.

The major crops produced in this region are Cashews, Coffee, Brazil nuts, Cocoa and fruits like avocado, pineapple, papaya and guava. The Region is expected witness potential rise in the agriculture sector with smart agriculture. As smart agriculture is expanding its growth and reaching out a larger number of farmers, the market value of drones for agricultural use is expected to be growing with huge profits by the forecasted period. As per research many leading companies are launching new advanced and innovative devices for the smart agriculture sector to grow more efficiently. Moreover, even the government is encouraging the farmers by passing subsidies, taking initiatives and launching agri-tech learning programs. Therefore, these all developments are helping the smart agriculture market to grow widely.

According to the research report, 'South America Smart Agriculture Market Outlook, 2029,', the South America Smart Agriculture market is anticipated to add to more than USD 1.8 Billion by 2024-29. The smart agriculture market in South America is experiencing significant growth, driven by advancements in hardware, software, and services. The adoption of precision farming technologies, such as drones, GPS devices, and automated irrigation systems, is revolutionizing agricultural practices, allowing farmers to enhance crop yields and optimize resource management in the region's diverse agricultural landscape.

Concurrently, the rise of cloud-based farm management software enables real-time data analysis, facilitating better decision-making by integrating IoT devices to monitor crop health, soil conditions, and weather patterns, which is crucial for maximizing productivity across varying climates. Additionally, the demand for consulting and support services is increasing as farmers seek expertise in implementing these smart agriculture solutions, with training programs for farm labourers becoming essential to ensure the workforce is equipped to handle advanced agricultural practices.

One of the major segments of smart agriculture which is most commonly used in South America is precision agriculture. In order to protect the crops and prevent using access amount of pesticides and other chemicals has encouraged the farmers to use specialized equipment like drones, sensors. These devices are used for monitoring the field conditions and collecting the real-time data and guide the farmers in making further decisions. This can further result in the productivity. Advanced farming is termed as an IT based farming management to analyze, manage, and identify the variability in the fields for projection, optimum profitability, and sustainability of the land resource.

Advanced farming provides advantages for both environment and economic sectors such as decreasing the use of fertilizers, water, pesticides, and herbicides by using the farm equipment. Some of the key drivers are monitoring the plant and soil, saving time and cost in the production of crops, providing better information for management decisions, and reducing the use of excess run-off water.

The smart agriculture market in South America is experiencing significant growth, driven by advancements in hardware, software, and services. The adoption of precision farming technologies, such as drones, GPS devices, and automated irrigation systems, is revolutionizing agricultural practices, allowing farmers to enhance crop yields and optimize resource management in the region's diverse agricultural landscape.

Concurrently, the rise of cloud-based farm management software enables real-time data analysis, facilitating better decision-making by integrating IoT devices to monitor crop health, soil conditions, and weather patterns, which is crucial for maximizing productivity across varying climates. Additionally, the demand for consulting and support services is increasing as farmers seek expertise in implementing these smart agriculture solutions, with training programs for farm laborers becoming essential to ensure the workforce is equipped to handle advanced agricultural practices.

The COVID-19 effect on South America smart agriculture market

The agriculture sector in South America plays a vital role in producing food and ecosystem services that is attributed to impact not alone the region but the entire planet. Today Millions of farmers throughout the region are struggling to overcome the impacts of a global health crisis, slow-down in economy and a crippling migrant crisis. Reformation of the industry through higher technology was needed for the sector to play a significant role in supporting the recovery from the COVID-19 crisis. However, lockdown situations have boosted the demands and awareness about the technology revolution in agriculture industry due to lack of labor force and sustainability. This factor estimates the increasing market growth foe smart agriculture in South America during the forecast period.

Considered in this report

  • Geography: South America
  • Historic Year: 2018
  • Base year: 2023
  • Estimated year: 2024
  • Forecast year: 2029

Aspects covered in this report

  • South America Smart Agriculture Market with its value and forecast along with its segments
  • Country wise smart agriculture market analysis
  • Application wise smart agriculture distribution
  • Various drivers and challenges
  • On-going trends and developments
  • Top profiled companies
  • Strategic recommendation

Regions covered in the report

  • Brazil
  • Argentina
  • Colombia

Types of smart agriculture in the report

  • Precision Agriculture
  • Aquaculture/Precision Fish Farming
  • Smart Greenhouse Market
  • Precision Livestock Monitoring Market
  • Precision Forestry Market

By Offering Type in the report

  • Hardware
  • Software
  • Services

The approach of the report

This report consists of a combined approach of primary as well as secondary research. Initially, secondary research was used to get an understanding of the market and listing out the companies that are present in the market. The secondary research consists of third-party sources such as press releases, annual report of companies, analyzing the government generated reports and databases.

After gathering the data from secondary sources primary research was conducted by making telephonic interviews with the leading players about how the market is functioning and then conducted trade calls with dealers and distributors of the market. Post this we have started doing primary calls to consumers by equally segmenting consumers in regional aspects, tier aspects, age group, and gender. Once we have primary data with us we have started verifying the details obtained from secondary sources.

Intended audience

This report can be useful to industry consultants, manufacturers, suppliers, associations & organizations related to agriculture industry, government bodies and other stakeholders to align their market-centric strategies. In addition to marketing & presentations, it will also increase competitive knowledge about the industry.

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Table of Contents

1. Executive Summary
2. Research Methodology
2.1. Secondary Research
2.2. Primary Data Collection
2.3. Market Formation & Validation
2.4. Report Writing, Quality Check & Delivery
3. Market Structure
3.1. Market Considerate
3.2. Assumptions
3.3. Limitations
3.4. Abbreviations
3.5. Sources
3.6. Definitions
4. Economic /Demographic Snapshot
5. Global Smart Agriculture Market Outlook
5.1. Market Size By Value
5.2. Market Share By Region
5.3. Market Size and Forecast, By Type
5.4. Market Size and Forecast, By Offering
6. South America Smart Agriculture Market Outlook
6.1. Market Size By Value
6.2. Market Share By Country
6.3. Market Size and Forecast, By Type
6.4. Market Size and Forecast, By Offering
7. Market Dynamics
7.1. Market Drivers & Opportunities
7.2. Market Restraints & Challenges
7.3. Market Trends
7.4. COVID-19 Effect
7.5. Supply chain Analysis
7.6. Policy & Regulatory Framework
7.7. Industry Experts Views
7.8. Brazil Smart Agriculture Market Outlook
7.8.1. Market Size By Value
7.8.2. Market Size and Forecast By Type
7.8.3. Market Size and Forecast By Offering
7.9. Argentina Smart Agriculture Market Outlook
7.9.1. Market Size By Value
7.9.2. Market Size and Forecast By Type
7.9.3. Market Size and Forecast By Offering
7.10. Columbia Smart Agriculture Market Outlook
7.10.1. Market Size By Value
7.10.2. Market Size and Forecast By Type
7.10.3. Market Size and Forecast By Offering
8. Competitive Landscape
8.1. Competitive Dashboard
8.2. Business Strategies Adopted by Key Players
8.3. Key Players Market Positioning Matrix
8.4. Porter's Five Forces
8.5. Company Profile
8.5.1. John Deere Ltd
8.5.1.1. Company Snapshot
8.5.1.2. Company Overview
8.5.1.3. Financial Highlights
8.5.1.4. Geographic Insights
8.5.1.5. Business Segment & Performance
8.5.1.6. Product Portfolio
8.5.1.7. Key Executives
8.5.1.8. Strategic Moves & Developments
8.5.2. Merck & Co., Inc.
8.5.3. Trimble Inc.
8.5.4. Topcon Positioning Systems Inc.
8.5.5. AGCO Corporation
8.5.6. InnovaSea Systems, Inc.
8.5.7. GEA Group Aktiengesellschaft (Gea CowScout)
8.5.8. Heliospectra AB
8.5.9. Nedap N.V. Inc
8.5.10. AKVA group
8.5.11. CropX Technologies
9. Strategic Recommendations
10. Annexure
10.1. FAQ`s
10.2. Notes
10.3. Related Reports
11. Disclaimer
List of Figures
Figure 1: Global Smart Agriculture Market Size (USD Billion) By Region, 2023 & 2029
Figure 2: Market attractiveness Index, By Region 2029
Figure 3: Market attractiveness Index, By Segment 2029
Figure 4: Global Smart Agriculture Market Size By Value (2018, 2023 & 2029F) (in USD Billion)
Figure 5: Global Smart Agriculture Market Share By Region (2023)
Figure 6: South America Smart Agriculture Market Size By Value (2018, 2023 & 2029F) (in USD Billion)
Figure 7: South America Smart Agriculture Market Share By Country (2023)
Figure 8: Brazil Smart Agriculture Market Size By Value (2018, 2023 & 2029F) (in USD Billion)
Figure 9: Argentina Smart Agriculture Market Size By Value (2018, 2023 & 2029F) (in USD Billion)
Figure 10: Columbia Smart Agriculture Market Size By Value (2018, 2023 & 2029F) (in USD Billion)
Figure 11: Competitive Dashboard of top 5 players, 2023
Figure 12: Porter's Five Forces of Global Smart Agriculture Market
List of Tables
Table 1: Global Smart Agriculture Market Snapshot, By Segmentation (2023 & 2029) (in USD Billion)
Table 2: Top 10 Counties Economic Snapshot 2022
Table 3: Economic Snapshot of Other Prominent Countries 2022
Table 4: Average Exchange Rates for Converting Foreign Currencies into U.S. Dollars
Table 5: Global Smart Agriculture Market Size and Forecast, By Type (2018 to 2029F) (In USD Billion)
Table 6: Global Smart Agriculture Market Size and Forecast, By Offering (2018 to 2029F) (In USD Billion)
Table 7: South America Smart Agriculture Market Size and Forecast, By Type (2018 to 2029F) (In USD Billion)
Table 8: South America Smart Agriculture Market Size and Forecast, By Offering (2018 to 2029F) (In USD Billion)
Table 9: Influencing Factors for Smart Agriculture Market, 2023
Table 10: Brazil Smart Agriculture Market Size and Forecast By Type (2018 to 2029F) (In USD Billion)
Table 11: Brazil Smart Agriculture Market Size and Forecast By Offering (2018 to 2029F) (In USD Billion)
Table 12: Argentina Smart Agriculture Market Size and Forecast By Type (2018 to 2029F) (In USD Billion)
Table 13: Argentina Smart Agriculture Market Size and Forecast By Offering (2018 to 2029F) (In USD Billion)
Table 14: Colombia Smart Agriculture Market Size and Forecast By Type (2018 to 2029F) (In USD Billion)
Table 15: Colombia Smart Agriculture Market Size and Forecast By Offering (2018 to 2029F) (In USD Billion)

Companies Mentioned (Partial List)

A selection of companies mentioned in this report includes, but is not limited to:

  • John Deere Ltd
  • Merck & Co., Inc.
  • Trimble Inc.
  • Topcon Positioning Systems Inc.
  • AGCO Corporation
  • InnovaSea Systems, Inc.
  • GEA Group Aktiengesellschaft (Gea CowScout)
  • Heliospectra AB
  • Nedap N.V. Inc
  • AKVA group
  • CropX Technologies