Europe Smart Harvest Market: Focus on Product, Application, Country - Analysis and Forecast, 2023-2028
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Introduction to Europe Smart Harvest Market
The Europe smart harvest market (excluding U.K.) was valued at $1,121.7 million in 2023 and is anticipated to reach $1,864.4 million by 2028, witnessing a CAGR of 10.7% during the forecast period 2023-2028. This expansion is mostly driven by the agriculture industry's growing emphasis on increasing crop yields while lowering input costs. Smart harvesting systems provide accurate and focused approaches to production management, improved harvesting application, and efficient harvesting. These technologies are anticipated to fuel the growth of the worldwide smart harvest market in the next years by enabling farmers to make data-driven decisions, improve operational efficiency, decrease resource waste, and limit environmental impact.
Market Introduction
Smart harvest is a cutting-edge agricultural technology solution that has the potential to transform the farming business. This new strategy offers significant benefits to enterprises throughout the agricultural spectrum in a world where food production demands are increasing. A smart harvest system uses advanced sensors, data analytics, and automation to improve crop management and yield outcomes. It enables farmers to make informed decisions, precisely monitor crop health, and manage resources like water and fertilizer more efficiently. As a result, productivity and profitability grow while waste and environmental impact decrease.
Smart harvest enables organizations to react to changing weather conditions, market demands, and resource availability by providing real-time data insights. This technology enables sustainable and robust crop production, eventually securing the customer's bottom line, whether the customer is a small-scale operator or a major agricultural organization. Incorporating smart harvest into the customer's agricultural company not only improves operational efficiency, but it also positions the customer as an innovative and environmentally conscious industry leader.
A variety of key elements influence the market's expansion. These include the growing global food demand, the decreasing availability of water resources and arable land, the shortage of agricultural labor, and the rising trend in agricultural input costs such as harvesting labor expenses. These reasons are expected to stimulate increased use of smart harvest technology in the agriculture sector as a whole. These cutting-edge technologies enable farmers to improve resource allocation, increase crop production, and ultimately increase agricultural productivity.
Market Segmentation:
Segmentation 1: by Site of Operation
Product/Innovation Strategy: The product segment helps the reader to understand the different technologies used for smart harvest and their potential globally. Moreover, the study gives the reader a detailed understanding of the different solutions provided by smart harvest providers for imaging, processing, and analyzing. Compared to conventional agricultural methods, smart harvest enables more exact targeting of harvest, crop mapping, and crop growth detection, allowing farmers to save money by maximizing the use of their inputs.
Growth/Marketing Strategy: The Europe smart harvest market has seen major development by key players operating in the market, such as business expansion, partnership, collaboration, and joint venture. The favored strategy for the companies has been partnership, collaboration, and joint venture activities to strengthen their position in the global smart harvest market.
Competitive Strategy: Key players in the Europe smart harvest market analyzed and profiled in the study involve smart harvest-based product manufacturers, including market segments covered by distinct product kinds, applications served, and regional presence, as well as the influence of important market tactics employed. Moreover, a detailed competitive benchmarking of the players operating in the global smart harvest market has been done to help the reader understand how players stack against each other, presenting a clear market landscape. Additionally, comprehensive competitive strategies such as partnerships, agreements, and collaborations will aid the reader in understanding the untapped revenue pockets in the market.
Key Market Players and Competition Synopsis
The companies that are profiled have been selected based on inputs gathered from primary experts and analyzing company coverage, type portfolio, and market penetration.
Some prominent names in the market include:
This report will be delivered in 1-5 working days.
Introduction to Europe Smart Harvest Market
The Europe smart harvest market (excluding U.K.) was valued at $1,121.7 million in 2023 and is anticipated to reach $1,864.4 million by 2028, witnessing a CAGR of 10.7% during the forecast period 2023-2028. This expansion is mostly driven by the agriculture industry's growing emphasis on increasing crop yields while lowering input costs. Smart harvesting systems provide accurate and focused approaches to production management, improved harvesting application, and efficient harvesting. These technologies are anticipated to fuel the growth of the worldwide smart harvest market in the next years by enabling farmers to make data-driven decisions, improve operational efficiency, decrease resource waste, and limit environmental impact.
Market Introduction
Smart harvest is a cutting-edge agricultural technology solution that has the potential to transform the farming business. This new strategy offers significant benefits to enterprises throughout the agricultural spectrum in a world where food production demands are increasing. A smart harvest system uses advanced sensors, data analytics, and automation to improve crop management and yield outcomes. It enables farmers to make informed decisions, precisely monitor crop health, and manage resources like water and fertilizer more efficiently. As a result, productivity and profitability grow while waste and environmental impact decrease.
Smart harvest enables organizations to react to changing weather conditions, market demands, and resource availability by providing real-time data insights. This technology enables sustainable and robust crop production, eventually securing the customer's bottom line, whether the customer is a small-scale operator or a major agricultural organization. Incorporating smart harvest into the customer's agricultural company not only improves operational efficiency, but it also positions the customer as an innovative and environmentally conscious industry leader.
A variety of key elements influence the market's expansion. These include the growing global food demand, the decreasing availability of water resources and arable land, the shortage of agricultural labor, and the rising trend in agricultural input costs such as harvesting labor expenses. These reasons are expected to stimulate increased use of smart harvest technology in the agriculture sector as a whole. These cutting-edge technologies enable farmers to improve resource allocation, increase crop production, and ultimately increase agricultural productivity.
Market Segmentation:
Segmentation 1: by Site of Operation
- On-Field
- Controlled Environment
- Robotic Harvester
- Self-Propelled Smart Harvester
- Others
- Germany
- France
- Italy
- Spain
- The Netherlands
- Belgium
- Switzerland
- Ukraine
- Greece
- Rest-of Europe
Product/Innovation Strategy: The product segment helps the reader to understand the different technologies used for smart harvest and their potential globally. Moreover, the study gives the reader a detailed understanding of the different solutions provided by smart harvest providers for imaging, processing, and analyzing. Compared to conventional agricultural methods, smart harvest enables more exact targeting of harvest, crop mapping, and crop growth detection, allowing farmers to save money by maximizing the use of their inputs.
Growth/Marketing Strategy: The Europe smart harvest market has seen major development by key players operating in the market, such as business expansion, partnership, collaboration, and joint venture. The favored strategy for the companies has been partnership, collaboration, and joint venture activities to strengthen their position in the global smart harvest market.
Competitive Strategy: Key players in the Europe smart harvest market analyzed and profiled in the study involve smart harvest-based product manufacturers, including market segments covered by distinct product kinds, applications served, and regional presence, as well as the influence of important market tactics employed. Moreover, a detailed competitive benchmarking of the players operating in the global smart harvest market has been done to help the reader understand how players stack against each other, presenting a clear market landscape. Additionally, comprehensive competitive strategies such as partnerships, agreements, and collaborations will aid the reader in understanding the untapped revenue pockets in the market.
Key Market Players and Competition Synopsis
The companies that are profiled have been selected based on inputs gathered from primary experts and analyzing company coverage, type portfolio, and market penetration.
Some prominent names in the market include:
- Agrobot
- AMB Rousset
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
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
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
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
