Global Smart Harvest Market by Component Types, Site of Operations, Crop Types and Regions — Global Industry Analysis, Growth, Share, Size, Trends, and Forecast 2020–2026.

The global smart harvest market was valued at USD 9.8 billion in 2019 and is expected to reach USD 24.1 billion by 2026, expanding at a CAGR of 12.7% during the forecast period, 2020–2026. Smart harvest is a method of using smart automation tools in agriculture sector to increase the production capacity and decrease the overall losses.

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Smart harvest is a self-governing harvesting machine that harvests vegetables and fruits with almost no human participation. The need for smart harvest procedures was owing to shortage of labor and increased production demand globally.

Farmers are vastly implementing farm mechanization and other smart cultivation techniques to optimize their harvest yields. The smart harvest primarily includes the implementation of artificial intelligence, cloud machine culture, global positioning system, cutting-edge analytics, and satellite imagery in the agricultural sector.

Market Trends, Drivers, Restraints, and Opportunities:

• Advancement in technology with cutting-edge set of functionalities for maximum profitability and production, in turn, is driving the growth for the market.
• Increase in demand of improved smart device to achieve maximum efficiency and growing labor shortage are some of the key trends driving the growth of the smart harvest and thus fueling the growth of the market.
• Increase in government initiates and funding in research and development, has fueled the need for smart harvest
• High cost of installation of smart harvest technology devices, is one the key restraint to the global smart harvest
• Limited technical familiarity of farmers, is expected to hamper the growth of the market.
• Smart automation manufacturers are involved in delivering smart devices with integrated artificial intelligence and big data, is anticipated to offer growth opportunities in forecast period.

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Competitive Landscape:

Major companies in the global smart harvest market are moderately fragmented due to the presence of number of players. Major companies include Panasonic Corporation, Robert Bosch, Harvest Automation, Deere & Company, Smart Harvest, Agrobot, Iron Ox, Dogtooth Technologies, Vision Robotics, Abundant Robotics, Root AI, Energid Technologies, FF Robotics, Metaemotion, Harvest, and AVL Motion. The market players are engaged in integrating advanced technology to strengthen their market share and gain traction in global marketplace. The companies are engaging in organic and inorganic strategies such as acquisitions such as product launches, R&D, agreements, and collaborations to gain market share.

The famous Japan-based electronics manufacturer company, Panasonic Corporation, provides a wide range of sophisticated and state of the art technology to meet consumer needs. Panasonic Corporation launched fully self-governing tomato-picking robot in Tokyo on January 2018. Robot is equipped with sensors, artificial intelligence controls and high-resolution camera.

The global smart harvest market has been segmented on the basis of

Component Types

• Hardware
• Software

Site of Operations

• On-field
• Greenhouse
• Indoor

Crop Types

• Fruits
• Vegetables

Regions

• Asia Pacific
• Europe
• North America
• Middle East & Africa
• Latin America

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Table of Contents

1. Executive Summary
2. Assumptions and Acronyms Used
3. Research Methodology
4. Smart Harvest Market Overview
5. Global Smart Harvest Market Analysis and Forecast by Type
6. Global Smart Harvest Market Analysis and Forecast by Application
7. Global Smart Harvest Market Analysis and Forecast by Sales Channel
8. Global Smart Harvest Market Analysis and Forecast by Region
9. North Smart Harvest Market Analysis and Forecast
10. Latin Smart Harvest Market Analysis and Forecast
11. Europe Smart Harvest Market Analysis and Forecast
12. Asia Pacific Smart Harvest Market Analysis and Forecast
13. Middle East & Africa Smart Harvest Market Analysis and Forecast
14. Competition Landscape

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