Table of Content

Scope of the Study
Executive Summary

1 Market
1.1 Industry Outlook
1.1.1 Market Definition
1.1.2 Market Trends
1.1.2.1 Role of Artificial Intelligence and Machine Learning in Smart Harvesting
1.1.2.2 Increased Focus on Sustainable Agriculture Practices
1.1.3 Ecosystem/Ongoing Programs
1.1.3.1 Consortiums and Associations
1.1.3.2 Regulatory Bodies
1.1.3.3 Government Initiatives/Programs
1.2 Business Dynamics
1.2.1 Business Drivers
1.2.1.1 Rising Crop Losses Caused by Improper Harvesting Practices
1.2.1.1.1 Minimizing Crop Yield Depletion throughout Harvesting Process
1.2.1.2 Need for Reducing the Cost of Crop Production
1.2.1.2.1 Optimizing Farm Profitability through Climate-Resilient Smart Harvest Solutions
1.2.2 Business Challenges
1.2.2.1 Less Adoption of Smart Harvesters among Small-Scale Farmers
1.2.2.2 High Initial Cost of Smart Harvesting Equipment
1.2.2.3 Technical Complexities Affecting Smart Harvest Adoption
1.2.3 Business Strategies
1.2.3.1 Product Development and Innovation
1.2.3.2 Market Development
1.2.4 Corporate Strategies
1.2.4.1 Partnerships, Joint Ventures, Collaborations, and Alliances
1.2.5 Business Opportunities
1.2.5.1 Integration of Smart Technologies in Agriculture Machineries or Equipment
1.2.5.2 Development of Innovative and Affordable Small Harvesting Robot
1.2.5.3 Government Initiatives to Promote Digital Agriculture
1.2.5.4 Opportunities in ATaaS Market
1.3 Case Studies
1.3.1 Smart Harvesting Case Study
1.3.2 Automation of Crop Yield Assessment Case Study
1.3.3 Lettuce Harvesting Robot Case Study
1.4 Startup Landscape
1.4.1 Startup Traction Analysis (by Product)
1.4.2 Funding Analysis
1.4.2.1 Total Investments and Number of Funding Deals
1.4.2.2 Top Funding Deals, 2022
1.4.2.3 Funding (by Technology)
1.4.2.4 Funding (by Year)
1.5 Architectural/Technical Comparison of Key Products in the Market

2 Region
2.1 Europe
2.1.1 Germany
2.1.2 France
2.1.3 Netherlands
2.1.4 Italy
2.1.5 Ukraine
2.1.6 Belgium
2.1.7 Switzerland
2.1.8 Greece
2.1.9 Spain
2.1.10 Rest-of-Europe
2.2 U.K.

3 Markets - Competitive Benchmarking & Company Profiles
3.1 Competitive Benchmarking
3.1.1 Robotic Harvester Companies
3.1.2 Self-Propelled Smart Harvester Companies
3.1.3 Market Share Analysis of Robotic Harvester Manufacturers
3.1.4 Market Share Analysis of Self-Propelled Smart Harvester Manufacturers
3.2 Company Profiles
3.2.1 Agrobot
3.2.1.1 Company Overview
3.2.1.2 Product Portfolio
3.2.1.3 Customer Profiles
3.2.1.3.1 Target Customers
3.2.1.4 Analyst View
3.2.2 Antobot Ltd.
3.2.2.1 Company Overview
3.2.2.2 Product Portfolio
3.2.2.3 Customer Profiles
3.2.2.3.1 Target Customers
3.2.2.4 Analyst View
3.2.3 AMB Rousset
3.2.3.1 Company Overview
3.2.3.2 Product Portfolio
3.2.3.3 Customer Profiles
3.2.3.3.1 Target Customers
3.2.3.4 Analyst View
3.2.4 CNH Industrial N.V.
3.2.4.1 Company Overview
3.2.4.2 Product Portfolio
3.2.4.3 Customer Profile
3.2.4.3.1 Target Customers
3.2.4.4 Analyst View

4 Research Methodology
4.1 Data Sources
4.1.1 Primary Data Sources
4.1.2 Secondary Data Sources
4.1.3 Data Triangulation
4.2 Market Estimation and Forecast
List of Figures
Figure 1: Scope Definition
Figure 2: Smart Harvest Market Coverage
Figure 3: Factors Driving the Need for Smart Harvesting
Figure 4: Europe Smart Harvest Market, $Billion, 2022-2028
Figure 5: Europe Smart Harvest Market (by Site of Operation), $Billion, 2022 and 2028
Figure 6: Europe Smart Harvest Market (by Product), $Billion, 2022 and 2028
Figure 7: Smart Harvest Market (by Region), 2022
Figure 8: Use of AI/ML in Traceability of Banana Value Chain in Ivory Coast, Africa
Figure 9: Greenhouse Gas Emissions (Carbon Dioxide (CO2) Eq.) by Sector, Share (%), 2022
Figure 10: Estimated Food Loss at Different Stages in Entire Supply Chain
Figure 11: Average Labor Cost of Various Agricultural Operations, %, 2019-2022
Figure 12: Product Development and Innovation (by Company), January 2018-June 2023
Figure 13: Partnerships, Joint Ventures, Collaborations, and Alliances (by Company), January 2018-June 2023
Figure 14: Agriculture Technology-as-a-Service (ATaaS) Market Revenue, $Million, 2022-2028
Figure 15: Smart Harvesting Case Study – Extentia Information Technology
Figure 16: Automation of Crop Yield Assessment Case Study
Figure 17: Lettuce Harvesting Robot Case Study
Figure 18: Total Investment and Number of Funding Deals, $Million, January 2020-December 2022
Figure 19: Top Funding Deals in Smart Harvest Market, $Million, 2022
Figure 20: Funding (by Technology), 2022
Figure 21: Funding (by Year), $Million, 2021 and 2022
Figure 22: Competitive Benchmarking for Robotic Harvester Companies
Figure 23: Competitive Benchmarking for Self-Propelled Smart Harvester Companies
Figure 24: Market Share Analysis of Robotic Harvester Manufacturers, 2022
Figure 25: Market Share Analysis of Self-Propelled Smart Harvester Manufacturers, 2022
Figure 26: Agrobot: Product Portfolio
Figure 27: Antobot Ltd.: Product Portfolio
Figure 28: AMB Rousset: Product Portfolio
Figure 29: CNH Industrial N.V.: Product Portfolio
Figure 30: Data Triangulation
Figure 31: Top-Down and Bottom-Up Approach
Figure 32: Assumptions and Limitations
List of Tables
Table 1: Key Consortiums and Associations in the Smart Harvest Market
Table 2: Key Regulatory Bodies
Table 3: Key Government Initiatives/Programs
Table 4: Key Startups in the Smart Harvest Market
Table 5: Technical Parameters Comparison for Robotic Harvesters: MetoMotion vs. Harvest Automation
Table 6: Smart Harvest Market (by Region), $Million, 2022-2028