Autonomous Harvester Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2024-2032

Description

The Global Autonomous Harvester Market size is expected to record a 12% CAGR between 2024 and 2032, fueled by a surge in product launches and the melding of advanced technologies with farm management systems.

Companies are rolling out new autonomous harvesting solutions, embedding state-of-the-art sensors, machine learning, and real-time data analytics. These advancements are bolstering efficiency, precision, and productivity in agriculture. By seamlessly integrating with farm management systems, autonomous harvesters are enhancing crop health monitoring, optimizing harvesting schedules, and streamlining resource management. For example, in October 2022, Nanovel introduced its autonomous tree fruit harvester, boasting cutting-edge technology to enhance harvesting efficiency and precision.

The autonomous harvester industry is segmented into product, level of automation, technology, crop type, and region.

The market share from the remote-controlled level of automation segment is expected to witness substantial growth through 2032. This surge is attributed to the rising demand for adaptable harvesters across diverse crops. Companies are innovating harvesters that merge autonomous navigation with remote control, enabling operators to oversee and modify harvesting processes from afar. This fusion of automation and remote oversight offers enhanced flexibility, control, and precision in harvesting.

In terms of crop type, the autonomous harvester market value from the fruits and vegetables segment is slated to generate notable revenue during 2024-2032. This is due to the escalating demand for precision in harvesting diverse fruit and vegetable crops. To cater to the delicate nature of these crops, autonomous harvesters are outfitted with specialized sensors and algorithms, ensuring minimal damage and peak efficiency. Furthermore, real-time data analytics empower these machines to navigate intricate orchard layouts and adapt to varying harvesting conditions.

Europe autonomous harvester industry size is likely to record a notable growth rate through 2032 primarily due to escalating labor costs. To counter rising manual labor expenses and uphold operational efficiency, agricultural operators are turning to advanced solutions like autonomous harvesters. These machines, laden with cutting-edge technology, not only enhance harvesting precision and productivity but also lessen dependence on human labor. As a result, ongoing advancements in the sector promise to curtail labor costs and revolutionize agricultural practices, making harvesting more sustainable and economically sound in Europe.

Product Code: 10476

Chapter 1 Methodology and Scope

1.1 Research design
- 1.1.1 Research approach
- 1.1.2 Data collection methods
1.2 Base estimates and calculations
- 1.2.1 Base year calculation
- 1.2.2 Key trends for market estimates
1.3 Forecast model
1.4 Primary research and validation
- 1.4.1 Primary sources
- 1.4.2 Data mining sources
1.5 Market scope and definitions

Chapter 2 Executive Summary

2.1 Industry 360° synopsis, 2021 - 2032

Chapter 3 Industry Insights

3.1 Industry ecosystem analysis
3.2 Supplier landscape
- 3.2.1 Raw material providers
- 3.2.2 Component providers
- 3.2.3 Manufacturer
- 3.2.4 Technology providers
- 3.2.5 End user
3.3 Profit margin analysis
3.4 Technology innovation landscape
3.5 Patent analysis
3.6 Key news and initiatives
3.7 Regulatory landscape
3.8 Impact forces
- 3.8.1 Growth drivers
  - 3.8.1.1 Labor shortages and rising labor costs in agriculture
  - 3.8.1.2 Increasing demand for precision agriculture and farm efficiency
  - 3.8.1.3 Rising food demand across the globe
  - 3.8.1.4 Growing need for sustainable and productive farming practices
- 3.8.2 Industry pitfalls and challenges
  - 3.8.2.1 High initial investment costs for farmers
  - 3.8.2.2 Regulatory and safety concerns regarding fully autonomous operation
3.9 Growth potential analysis
3.10 Porter's analysis
3.11 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

4.1 Introduction
4.2 Company market share analysis
4.3 Competitive positioning matrix
4.4 Strategic outlook matrix

Chapter 5 Market Estimates and Forecast, By Product, 2021-2032 ($Bn, Units)

5.1 Key trends
5.2 Autonomous combine harvesters
5.3 Autonomous forage harvesters
5.4 Autonomous fruit harvesters
5.5 Others

Chapter 6 Market Estimates and Forecast, By Level of Autonomy, 2021-2032 ($Bn, Units)

6.1 Key trends
6.2 Fully autonomous
6.3 Semi-autonomous
6.4 Remote-controlled

Chapter 7 Market Estimates and Forecast, By Technology, 2021-2032 ($Bn)

7.1 Key trends
7.2 GPS guidance
7.3 Computer vision
7.4 Sensor technologies
7.5 AI and machine learning
7.6 Robotics and automation

Chapter 8 Market Estimates and Forecast, By Crop Type, 2021-2032 ($Bn, Units)

8.1 Key trends
8.2 Grains and cereals
8.3 Fruits and vegetables
8.4 Cotton
8.5 Sugarcane
8.6 Others

Chapter 9 Market Estimates and Forecast, By Region, 2021-2032 ($Bn, Units)

9.1 Key trends
9.2 North America
- 9.2.1 U.S.
- 9.2.2 Canada
9.3 Europe
- 9.3.1 UK
- 9.3.2 Germany
- 9.3.3 France
- 9.3.4 Italy
- 9.3.5 Spain
- 9.3.6 Russia
- 9.3.7 Nordics
- 9.3.8 Rest of Europe
9.4 Asia Pacific
- 9.4.1 China
- 9.4.2 India
- 9.4.3 Japan
- 9.4.4 South Korea
- 9.4.5 ANZ
- 9.4.6 Southeast Asia
- 9.4.7 Rest of Asia Pacific
9.5 Latin America
- 9.5.1 Brazil
- 9.5.2 Mexico
- 9.5.3 Argentina
- 9.5.4 Rest of Latin America
9.6 MEA
- 9.6.1 South Africa
- 9.6.2 Saudi Arabia
- 9.6.3 UAE
- 9.6.4 Rest of MEA

Chapter 10 Company Profiles

10.1 AGCO Corporation
10.2 Agrobot
10.3 Autonomous Solutions, Inc. (ASI)
10.4 CLAAS KGaA mbH
10.5 CNH Industrial
10.6 Deutz-Fahr (SDF Group)
10.7 Farming Revolution GmbH
10.8 Gomselmash
10.9 Harvest CROO Robotics
10.10 Iseki and Co., Ltd.
10.11 John Deere
10.12 Kinze Manufacturing, Inc.
10.13 Kubota Corporation
10.14 Mahindra and Mahindra Ltd.
10.15 Naio Technologies
10.16 Raven Industries
10.17 Topcon Positioning Systems, Inc.
10.18 Torrance Robotics
10.19 Trimble Inc.
10.20 Yanmar Co., Ltd.
10.21 ZhongJi Southern Machinery Co., Ltd.