Agriculture Robots Market
PUBLISHED: 2023 ID: SMRC23705
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Agriculture Robots Market

Agriculture Robots Market Forecasts to 2030 - Global Analysis By Type (Automated Harvesting Robots, Driverless Tractors, Milking Robots, Unmanned Aerial Vehicles (Drones) and Other Types), Offering (Hardware, Services and Software), Farming Environment (Indoor and Outdoor), Application and By Geography

4.6 (75 reviews)
4.6 (75 reviews)
Published: 2023 ID: SMRC23705

This report covers the impact of COVID-19 on this global market
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Years Covered

2021-2030

Estimated Year Value (2023)

US $10.08 BN

Projected Year Value (2030)

US $34.22 BN

CAGR (2023 - 2030)

19.2%

Regions Covered

North America, Europe, Asia Pacific, South America, and Middle East & Africa

Countries Covered

US, Canada, Mexico, Germany, UK, Italy, France, Spain, Japan, China, India, Australia, New Zealand, South Korea, Rest of Asia Pacific, South America, Argentina, Brazil, Chile, Middle East & Africa, Saudi Arabia, UAE, Qatar, and South Africa

Largest Market

Asia Pacific

Highest Growing Market

North America


According to Stratistics MRC, the Global Agriculture Robots Market is accounted for $10.08 billion in 2023 and is expected to reach $34.22 billion by 2030 growing at a CAGR of 19.2% during the forecast period. The automated devices designed specifically for agricultural uses are known as agriculture robots. Farming is done by these robots with the least amount of human intervention. These devices are used by farmers to do chores like trimming, mowing, and spraying, among others. In the present world, the use of these agricultural robots is essential for effectively increasing productivity.

According to the International Federation of Robotics (IFR) Approximately 20,000 dairy farms have installed robots in Canada, the US, China, Western Europe and Japan. The increased milking frequency and high labor flexibility are driving the milking robots market.



Market Dynamics:

Driver:

Shortage of workers in the agricultural sector

The industry-wide scarcity of trained manpower in agriculture is the factor that has led to the introduction of agricultural robots. Farm laborers are becoming less accessible in many places, which make it difficult to complete labor-intensive jobs. The use of these robots lessens the need for human labor, which is a solution. These robots are capable of working autonomously without requiring continual monitoring and are accurate and efficient at doing routine jobs. Agricultural robots assist farmers overcome manpower shortages, enhance production, and lower operating costs by automating chores like planting, weeding, and harvesting.

Restraint:

High digitization costs for small farms

Although these robots have several advantages, such as greater productivity, accuracy, and decreased labor needs, their expensive costs prevent their broad adoption by farmers, particularly small and medium-sized farms. Many farmers are unable to access new technologies due to the initial investment and maintenance expenses of agricultural robots. The upshot is a growing digital gap in agriculture, as larger, wealthier farms profit from technological improvements but smaller, resource-constrained farmers find it difficult to stay up. Additionally, agricultural technology firms are discouraged from creating cost-effective solutions as a result of the high expenses, thus restricting the alternatives available to farmers on a budget.

Opportunity:

Untapped market potential and room for automation

Robotics are widely utilized in the food processing sector, but less so in agriculture. Furthermore, the application of robots for cattle management presents a chance for the implementation of autonomous platforms, such as Internet of Things tags. Automation in the agriculture sector may be further improved by the use of remote sensing to track livestock or raw materials for industrial production using various identifying tags to maximize the number and quality of crops or livestock produced. The creation and widespread use of several drone and robotic technologies have made it easier for farmers to handle the demanding nature of their line of work.

Threat:

Potential risk of using AI-based agricultural robots

These cutting-edge robots have the enormous potential to change farming techniques by increasing productivity, accuracy, and output, but they also carry certain inherent hazards. Concerns include the possibility that automation would eliminate jobs, access restrictions for small-scale farmers, data security and privacy concerns, and the requirement for a reliable technological infrastructure. To secure the ethical and long-term adoption of AI-driven agricultural robots, it is crucial to strike a balance between technical advancement and resolving these issues.

Covid-19 Impact

The COVID-19 pandemic has significantly impacted the agriculture robot market. Lockdowns, labor shortages, and disrupted supply chains highlighted the need for resilient and automated agricultural practices. This led to increased interest in robotics to mitigate such challenges. However, the pandemic also posed obstacles in terms of production delays, reduced funding, and limited field testing. Despite these hurdles, the crisis accelerated the adoption of agricultural robots, particularly in tasks like planting, harvesting, and monitoring.

The milking robots segment is expected to be the largest during the forecast period

The milking robots segment is anticipated to be the largest during the forecast period. Milking robots, have completely automated the milking process, revolutionizing the dairy business. These cutting-edge devices are made to milk cows without the assistance of a person, which has several advantages for dairy producers. By mechanically securing and removing milking cups from a cow's udders, milking robots do away with the necessity for hand milking. Additionally, sensors on milking robots collect information on cow health, milk yield, and milk quality.

The outdoor segment is expected to have the highest CAGR during the forecast period

Agricultural robots for outdoor farming conditions are expected to rule the market over the forecast period because outside robots are currently used in the majority of agricultural applications. Among the most popular types of outdoor agricultural robots are driverless tractors, UAVs and drones, and automated harvesting systems. A large portion of agricultural crops, including fruits and vegetables, are grown outdoors. Moreover, outdoor farming is likely to have a larger market share as the majority of robots are being developed for outdoor applications.

Region with largest share:

Asia Pacific is expected to register substantial growth over the forecast period in the market. The market in the region is driven by the higher adoption of advanced technology due to an increasing labor shortage, high labor costs in the region, and high per-capita disposable income. Increasing government encouragement for the deployment of robots in agriculture, such as unmanned aerial vehicles, driverless tractors, and other agriculture systems to provide smart farming, are some of the factors contributing to the region's growth.

Region with highest CAGR:

The market in the region is driven by the higher adoption of advanced technology due to an increasing labor shortage, high labor costs in the region, and high per-capita disposable income. Increasing government encouragement for the deployment of robots in agriculture, such as unmanned aerial vehicles, driverless tractors, and other agriculture systems to provide smart farming, are some of the factors contributing to the region's growth.



Key players in the market

Some of the key players profiled in the Agriculture Robots Market include AG Eagle LLC, AG Leader Technology, Agco Corporation, Agribotix LLC, Agrobot, Auroras S.R.L., Autocopter Corp., Autonomous Solutions Inc., Blue River Technology, Boumatic Robotics, B.V., Clearpath Robotics, Deepfield Robotics, Deere & Company, DeLaval, GEA Group, Grownetics Inc., Harvest Automation, The International Business Machines Corporation (IBM), John Deere, Lely Industries, Naio Technologies, Precision Hawk, Topcon Positioning Systems, Inc and Trimble Inc.

Key Developments:

In June 2023, CNH Industrial unveils latest Ag tech & smart farming by leveraging great iron to develop and deploy technology that simplifies and enhances operations, provides insightful data, and utilizing alternative power solutions for sustainably advance farming.

In December 2022, Deere & Company formed joint venture with GUSS Automation, LLC, in Kingsburg, California. Multiple GUSS sprayers can be remotely supervised by a single operator, allowing growers to spray orchards and vineyards more quickly and consistently, using fewer resources and reducing costs by eliminating operator error and downtime.

In September 2022, Naïo Technologies introduced the Orio, a new light electric and autonomous agriculture robot. This cutting-edge technology combines advanced robotics and artificial intelligence, providing farmers with a sustainable, serviceable, and intelligent solution to their agricultural needs.

Types Covered:
• Automated Harvesting Robots
• Driverless Tractors
• Milking Robots
• Unmanned Aerial Vehicles (Drones)
• Other Types

Offerings Covered:
• Hardware
• Services
• Software

Farming Environments Covered:
• Indoor
• Outdoor

Applications Covered:
• Broad Acre
• Dairy Farm Management
• Aerial Data Collection
• Inventory Management
• Pruning Management
• Weather Tracking and Forecasting
• Other Applications

Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa

What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2021, 2022, 2023, 2026 and 2030
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements

Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions

3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 Application Analysis
3.7 Emerging Markets
3.8 Impact of Covid-19

4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry

5 Global Agriculture Robots Market, By Type
5.1 Introduction
5.2 Automated Harvesting Robots
5.3 Driverless Tractors
5.4 Milking Robots
5.5 Unmanned Aerial Vehicles (Drones)
5.6 Other Types

6 Global Agriculture Robots Market, By Offering
6.1 Introduction
6.2 Hardware
6.3 Services
6.4 Software

7 Global Agriculture Robots Market, By Farming Environment
7.1 Introduction
7.2 Indoor
7.3 Outdoor

8 Global Agriculture Robots Market, By Application
8.1 Introduction
8.2 Broad Acre
8.2.1 Fertilizing and Irrigation
8.2.2 Field Mapping
8.2.3 Intercultural Operations
8.2.4 Picking and Harvesting
8.2.5 Seeding and Planting
8.3 Dairy Farm Management
8.3.1 Milking
8.3.2 Shepherding and Herding
8.4 Aerial Data Collection
8.5 Inventory Management
8.6 Pruning Management
8.7 Weather Tracking and Forecasting
8.8 Other Applications

9 Global Agriculture Robots Market, By Geography
9.1 Introduction
9.2 North America
9.2.1 US
9.2.2 Canada
9.2.3 Mexico
9.3 Europe
9.3.1 Germany
9.3.2 UK
9.3.3 Italy
9.3.4 France
9.3.5 Spain
9.3.6 Rest of Europe
9.4 Asia Pacific
9.4.1 Japan
9.4.2 China
9.4.3 India
9.4.4 Australia
9.4.5 New Zealand
9.4.6 South Korea
9.4.7 Rest of Asia Pacific
9.5 South America
9.5.1 Argentina
9.5.2 Brazil
9.5.3 Chile
9.5.4 Rest of South America
9.6 Middle East & Africa
9.6.1 Saudi Arabia
9.6.2 UAE
9.6.3 Qatar
9.6.4 South Africa
9.6.5 Rest of Middle East & Africa

10 Key Developments
10.1 Agreements, Partnerships, Collaborations and Joint Ventures
10.2 Acquisitions & Mergers
10.3 New Product Launch
10.4 Expansions
10.5 Other Key Strategies

11 Company Profiling
11.1 AG Eagle LLC
11.2 AG Leader Technology.
11.3 Agco Corporation.
11.4 Agribotix LLC
11.5 Agrobot
11.6 Auroras S.R.L.
11.7 Autocopter Corp.
11.8 Autonomous Solutions Inc.
11.9 Blue River Technology
11.10 Boumatic Robotics, B.V.
11.11 Clearpath Robotics
11.12 Deepfield Robotics
11.13 Deere & Company
11.14 DeLaval
11.15 GEA Group
11.16 Grownetics Inc.
11.17 Harvest Automation
11.18 The International Business Machines Corporation (IBM)
11.19 John Deere
11.20 Lely Industries
11.21 Naio Technologies
11.22 Precision Hawk
11.23 Topcon Positioning Systems, Inc.
11.24 Trimble Inc.

List of Tables
1 Global Agriculture Robots Market Outlook, By Region (2021-2030) ($MN)
2 Global Agriculture Robots Market Outlook, By Type (2021-2030) ($MN)
3 Global Agriculture Robots Market Outlook, By Automated Harvesting Robots (2021-2030) ($MN)
4 Global Agriculture Robots Market Outlook, By Driverless Tractors (2021-2030) ($MN)
5 Global Agriculture Robots Market Outlook, By Milking Robots (2021-2030) ($MN)
6 Global Agriculture Robots Market Outlook, By Unmanned Aerial Vehicles (Drones) (2021-2030) ($MN)
7 Global Agriculture Robots Market Outlook, By Other Types (2021-2030) ($MN)
8 Global Agriculture Robots Market Outlook, By Offering (2021-2030) ($MN)
9 Global Agriculture Robots Market Outlook, By Hardware (2021-2030) ($MN)
10 Global Agriculture Robots Market Outlook, By Services (2021-2030) ($MN)
11 Global Agriculture Robots Market Outlook, By Software (2021-2030) ($MN)
12 Global Agriculture Robots Market Outlook, By Farming Environment (2021-2030) ($MN)
13 Global Agriculture Robots Market Outlook, By Indoor (2021-2030) ($MN)
14 Global Agriculture Robots Market Outlook, By Outdoor (2021-2030) ($MN)
15 Global Agriculture Robots Market Outlook, By Application (2021-2030) ($MN)
16 Global Agriculture Robots Market Outlook, By Broad Acre (2021-2030) ($MN)
17 Global Agriculture Robots Market Outlook, By Fertilizing and Irrigation (2021-2030) ($MN)
18 Global Agriculture Robots Market Outlook, By Field Mapping (2021-2030) ($MN)
19 Global Agriculture Robots Market Outlook, By Intercultural Operations (2021-2030) ($MN)
20 Global Agriculture Robots Market Outlook, By Picking and Harvesting (2021-2030) ($MN)
21 Global Agriculture Robots Market Outlook, By Seeding and Planting (2021-2030) ($MN)
22 Global Agriculture Robots Market Outlook, By Dairy Farm Management (2021-2030) ($MN)
23 Global Agriculture Robots Market Outlook, By Milking (2021-2030) ($MN)
24 Global Agriculture Robots Market Outlook, By Shepherding and Herding (2021-2030) ($MN)
25 Global Agriculture Robots Market Outlook, By Aerial Data Collection (2021-2030) ($MN)
26 Global Agriculture Robots Market Outlook, By Inventory Management (2021-2030) ($MN)
27 Global Agriculture Robots Market Outlook, By Pruning Management (2021-2030) ($MN)
28 Global Agriculture Robots Market Outlook, By Weather Tracking and Forecasting (2021-2030) ($MN)
29 Global Agriculture Robots Market Outlook, By Other Applications (2021-2030) ($MN)

Note: Tables for North America, Europe, Asia Pacific, South America and Middle East & Africa Regions are also represented in the same manner as above.

List of Figures

RESEARCH METHODOLOGY


Research Methodology

We at Stratistics opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.

Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.

Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.

Data Mining

The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.

Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.

Data Analysis

From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:

  • Product Lifecycle Analysis
  • Competitor analysis
  • Risk analysis
  • Porters Analysis
  • PESTEL Analysis
  • SWOT Analysis

The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.


Data Validation

The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.

We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.

The data validation involves the primary research from the industry experts belonging to:

  • Leading Companies
  • Suppliers & Distributors
  • Manufacturers
  • Consumers
  • Industry/Strategic Consultants

Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.


For more details about research methodology, kindly write to us at info@strategymrc.com

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