Smart Harvest Market
PUBLISHED: 2023 ID: SMRC22450
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Smart Harvest Market

Smart Harvest Market Forecasts to 2028 - Global Analysis By Component (Hardware, Software), Crop Type (Vegetables, Fruits), Site of Operation (Greenhouse, On Field, Indoor), and Geography

4.5 (80 reviews)
4.5 (80 reviews)
Published: 2023 ID: SMRC22450

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

2020-2028

Estimated Year Value (2022)

US $15.09 BN

Projected Year Value (2028)

US $32.81 BN

CAGR (2022 - 2028)

13.81%

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

Europe

According to Stratistics MRC, the Global Smart Harvest Market is accounted for $15.09 billion in 2022 and is expected to reach $32.81 billion by 2028 growing at a CAGR of 13.81% during the forecast period. Smart Harvest is the term used to describe autonomous harvesting robots that harvest both fruits and vegetables with little to no assistance from humans. In order to increase agricultural output, smart harvesting makes use of advanced technologies including GPS, cloud computer vision, aerial photographs, AI, MI, big data, and IoT.

Market Dynamics:

Driver:

Rising labor shortage

The market for smart harvest benefits from the growing labour shortage brought on by cost considerations. Additionally, governments around the world are launching projects and urging farmers to use smart harvesting techniques, demand for harvesting robots, automation, sensors, and control systems would support market expansion.

Restraint:

High cost of installation

Smart harvesting technology's high installation costs restrain the market's expansion during the forecast timeline. Smart harvesting technologies' cost effectiveness is expected to increase exponentially. The reality is that deploying sensors and collecting samples need a lot of resources and are fairly expensive.

Opportunity:

Integration of smart technologies

Future market growth is also anticipated to be boosted by the incorporation of smart technologies like artificial intelligence (AI), machine learning (ML), the internet of things (IoT), global positioning systems (GPS), and sensors in the agriculture sector. Artificial intelligence and deep learning are being used more and more in crop health monitoring and yield assessment, as well as in harvesting and cultivation by smart tractors without drivers. Artificial intelligence significantly improves crop quality and helps manage insect infestations, disease management through early detection of pests and illnesses, and harvesting methods. Modern technologies assist in decreasing the need for human intervention and lower the cost of hiring specialists and related staff.

Threat:

Requires extensive skills and knowledge

Smart harvesting systems demand a high level of technological expertise. However, a lot of farmers lack these abilities, and it can be challenging and sometimes even expensive to locate someone who does. This actually prevents many farmers from implementing smart harvesting techniques. This factor is preventing market expansion during the anticipated period.

Covid-19 Impact

While the world's trade was suspended during the lockdowns put in place to stop the new corona virus from spreading, the food and agriculture sector has been severely damaged by freight issues. Due to a lack of supply and demand chain interruptions, the majority of the food subcategories saw a fall in sales volume. Because of the pandemic's severe market effects on the agriculture sector, farming communities are becoming more conscious of the nascent smart harvest market. Since there was a need to restrict human involvement during the lockdowns, new methods have been created for harvesting that employ machines. Once the pandemic is over, increasing awareness, a declining agricultural workforce due to urbanisation, and rising food demand globally will ultimately push the market.

The hardware segment is expected to be the largest during the forecast period

The hardware segment is estimated to have a lucrative growth. Harvest robots, control and automation systems, sensors, and imaging systems are all part of the smart harvest's hardware. The hardware is made up of various parts that work together to handle, identify, and gather the fruit or vegetable. Artificial intelligence (AI) will be included into smart harvest systems in the upcoming years, enabling the robots to decide for themselves based on the proper criteria.

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

The fruits segment is anticipated to witness the fastest CAGR growth during the forecast period. Manufacturers are creating and testing a variety of harvesting robot technologies for commercial use. Apple, strawberries, and citrus fruits like lemon and orange may all be harvested using the latest generation of smart harvest technologies. The integration of yield sensor devices and ripened controllers all over a wide variety of fruits is made possible through the use of smart harvest systems.

Region with highest share:

Asia Pacific is projected to hold the largest market share during the forecast period owing to producers in this region are being encouraged to use this mechanism by the growing population as well as the rising need for a wide range of fruits and vegetables in greater numbers. The governments of these nations strive to devote more funding to the agriculture sector each year with new budgeting policies, helping small-scale farmers with mortgages and other incentives so they can utilise developing technology systems. Along with government funding, the expansion of public and private sector investments for the adoption of smart harvesting technologies and devices is also contributing to the rapid growth of APAC nations.

Region with highest CAGR:

Europe is projected to have the highest CAGR over the forecast period. Smart harvesting systems have become widely used in Europe during the past few years. Germany and the United Kingdom both contribute significantly to the expansion of the European market. The government provides farmers in this area with considerable financial incentives and support to help them adopt this technologically advanced harvesting equipment. Europe is a significant hub for smart harvest system suppliers and producers.



Key players in the market

Some of the key players profiled in the Smart Harvest Market include Deere & Company, Robert Bosch GmbH, Panasonic Corporation, Abundant Robotics, Inc., Harvest Automation, Dogtooth Technologies Limited, Smart harvest Ltd., Agrobot, Harvest Croo, Metomotion and Energid Technologies Corporation

Key Developments:

In September 2018, the Energid Technologies Corporation (United States) Company has launched a new software development kit and framework version of its Actin software. In addition, this new software provides incorporates real-time monitoring, adjustments, and inputs for robots, in which it is installed. Therefore, this product launch will help in strengthening the position of the company in the United States.

In January 2018, the Panasonic Corporation (Japan) Company has revealed a prototype of their new fully autonomous tomato-picking robot in Tokyo. Therefore, this will, in turn, propel the growth of smart harvest market.

Components Covered:
• Hardware
• Software

Crop type Covered:
• Vegetables
• Fruits

Site of operation Covered:
• Greenhouse
• On Field
• Indoor

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 2020, 2021, 2022, 2025, and 2028
- 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 Emerging Markets
3.7 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 Smart Harvest Market, By Component
5.1 Introduction
5.2 Hardware
5.2.1 Sensors
5.2.2 Harvesting Robots
5.2.3 Imaging Systems
5.2.4 Automation & Control Systems
5.3 Software

6 Global Smart Harvest Market, By Crop Type
6.1 Introduction
6.2 Vegetables
6.3 Fruits

7 Global Smart Harvest Market, By Site of Operation
7.1 Introduction
7.2 Greenhouse
7.3 On Field
7.4 Indoor

8 Global Smart Harvest Market, By Geography
8.1 Introduction
8.2 North America
8.2.1 US
8.2.2 Canada
8.2.3 Mexico
8.3 Europe
8.3.1 Germany
8.3.2 UK
8.3.3 Italy
8.3.4 France
8.3.5 Spain
8.3.6 Rest of Europe
8.4 Asia Pacific
8.4.1 Japan
8.4.2 China
8.4.3 India
8.4.4 Australia
8.4.5 New Zealand
8.4.6 South Korea
8.4.7 Rest of Asia Pacific
8.5 South America
8.5.1 Argentina
8.5.2 Brazil
8.5.3 Chile
8.5.4 Rest of South America
8.6 Middle East & Africa
8.6.1 Saudi Arabia
8.6.2 UAE
8.6.3 Qatar
8.6.4 South Africa
8.6.5 Rest of Middle East & Africa

9 Key Developments
9.1 Agreements, Partnerships, Collaborations and Joint Ventures
9.2 Acquisitions & Mergers
9.3 New Product Launch
9.4 Expansions
9.5 Other Key Strategies

10 Company Profiling
10.1 Deere & Company
10.2 Robert Bosch GmbH
10.3 Panasonic Corporation
10.4 Abundant Robotics, Inc.
10.5 Harvest Automation
10.6 Dogtooth Technologies Limited
10.7 Smart harvest Ltd.
10.8 Agrobot
10.9 Harvest Croo
10.10 Metomotion
10.11 Energid Technologies Corporation

List of Tables
1 Global Smart Harvest Market Outlook, By Region (2020-2028) ($MN)
2 Global Smart Harvest Market Outlook, By Component (2020-2028) ($MN)
3 Global Smart Harvest Market Outlook, By Hardware (2020-2028) ($MN)
4 Global Smart Harvest Market Outlook, By Sensors (2020-2028) ($MN)
5 Global Smart Harvest Market Outlook, By Harvesting Robots (2020-2028) ($MN)
6 Global Smart Harvest Market Outlook, By Imaging Systems (2020-2028) ($MN)
7 Global Smart Harvest Market Outlook, By Automation & Control Systems (2020-2028) ($MN)
8 Global Smart Harvest Market Outlook, By Software (2020-2028) ($MN)
9 Global Smart Harvest Market Outlook, By Crop Type (2020-2028) ($MN)
10 Global Smart Harvest Market Outlook, By Vegetables (2020-2028) ($MN)
11 Global Smart Harvest Market Outlook, By Fruits (2020-2028) ($MN)
12 Global Smart Harvest Market Outlook, By Site of Operation (2020-2028) ($MN)
13 Global Smart Harvest Market Outlook, By Greenhouse (2020-2028) ($MN)
14 Global Smart Harvest Market Outlook, By On Field (2020-2028) ($MN)
15 Global Smart Harvest Market Outlook, By Indoor (2020-2028) ($MN)
16 North America Smart Harvest Market Outlook, By Country (2020-2028) ($MN)
17 North America Smart Harvest Market Outlook, By Component (2020-2028) ($MN)
18 North America Smart Harvest Market Outlook, By Hardware (2020-2028) ($MN)
19 North America Smart Harvest Market Outlook, By Sensors (2020-2028) ($MN)
20 North America Smart Harvest Market Outlook, By Harvesting Robots (2020-2028) ($MN)
21 North America Smart Harvest Market Outlook, By Imaging Systems (2020-2028) ($MN)
22 North America Smart Harvest Market Outlook, By Automation & Control Systems (2020-2028) ($MN)
23 North America Smart Harvest Market Outlook, By Software (2020-2028) ($MN)
24 North America Smart Harvest Market Outlook, By Crop Type (2020-2028) ($MN)
25 North America Smart Harvest Market Outlook, By Vegetables (2020-2028) ($MN)
26 North America Smart Harvest Market Outlook, By Fruits (2020-2028) ($MN)
27 North America Smart Harvest Market Outlook, By Site of Operation (2020-2028) ($MN)
28 North America Smart Harvest Market Outlook, By Greenhouse (2020-2028) ($MN)
29 North America Smart Harvest Market Outlook, By On Field (2020-2028) ($MN)
30 North America Smart Harvest Market Outlook, By Indoor (2020-2028) ($MN)
31 Europe Smart Harvest Market Outlook, By Country (2020-2028) ($MN)
32 Europe Smart Harvest Market Outlook, By Component (2020-2028) ($MN)
33 Europe Smart Harvest Market Outlook, By Hardware (2020-2028) ($MN)
34 Europe Smart Harvest Market Outlook, By Sensors (2020-2028) ($MN)
35 Europe Smart Harvest Market Outlook, By Harvesting Robots (2020-2028) ($MN)
36 Europe Smart Harvest Market Outlook, By Imaging Systems (2020-2028) ($MN)
37 Europe Smart Harvest Market Outlook, By Automation & Control Systems (2020-2028) ($MN)
38 Europe Smart Harvest Market Outlook, By Software (2020-2028) ($MN)
39 Europe Smart Harvest Market Outlook, By Crop Type (2020-2028) ($MN)
40 Europe Smart Harvest Market Outlook, By Vegetables (2020-2028) ($MN)
41 Europe Smart Harvest Market Outlook, By Fruits (2020-2028) ($MN)
42 Europe Smart Harvest Market Outlook, By Site of Operation (2020-2028) ($MN)
43 Europe Smart Harvest Market Outlook, By Greenhouse (2020-2028) ($MN)
44 Europe Smart Harvest Market Outlook, By On Field (2020-2028) ($MN)
45 Europe Smart Harvest Market Outlook, By Indoor (2020-2028) ($MN)
46 Asia Pacific Smart Harvest Market Outlook, By Country (2020-2028) ($MN)
47 Asia Pacific Smart Harvest Market Outlook, By Component (2020-2028) ($MN)
48 Asia Pacific Smart Harvest Market Outlook, By Hardware (2020-2028) ($MN)
49 Asia Pacific Smart Harvest Market Outlook, By Sensors (2020-2028) ($MN)
50 Asia Pacific Smart Harvest Market Outlook, By Harvesting Robots (2020-2028) ($MN)
51 Asia Pacific Smart Harvest Market Outlook, By Imaging Systems (2020-2028) ($MN)
52 Asia Pacific Smart Harvest Market Outlook, By Automation & Control Systems (2020-2028) ($MN)
53 Asia Pacific Smart Harvest Market Outlook, By Software (2020-2028) ($MN)
54 Asia Pacific Smart Harvest Market Outlook, By Crop Type (2020-2028) ($MN)
55 Asia Pacific Smart Harvest Market Outlook, By Vegetables (2020-2028) ($MN)
56 Asia Pacific Smart Harvest Market Outlook, By Fruits (2020-2028) ($MN)
57 Asia Pacific Smart Harvest Market Outlook, By Site of Operation (2020-2028) ($MN)
58 Asia Pacific Smart Harvest Market Outlook, By Greenhouse (2020-2028) ($MN)
59 Asia Pacific Smart Harvest Market Outlook, By On Field (2020-2028) ($MN)
60 Asia Pacific Smart Harvest Market Outlook, By Indoor (2020-2028) ($MN)
61 South America Smart Harvest Market Outlook, By Country (2020-2028) ($MN)
62 South America Smart Harvest Market Outlook, By Component (2020-2028) ($MN)
63 South America Smart Harvest Market Outlook, By Hardware (2020-2028) ($MN)
64 South America Smart Harvest Market Outlook, By Sensors (2020-2028) ($MN)
65 South America Smart Harvest Market Outlook, By Harvesting Robots (2020-2028) ($MN)
66 South America Smart Harvest Market Outlook, By Imaging Systems (2020-2028) ($MN)
67 South America Smart Harvest Market Outlook, By Automation & Control Systems (2020-2028) ($MN)
68 South America Smart Harvest Market Outlook, By Software (2020-2028) ($MN)
69 South America Smart Harvest Market Outlook, By Crop Type (2020-2028) ($MN)
70 South America Smart Harvest Market Outlook, By Vegetables (2020-2028) ($MN)
71 South America Smart Harvest Market Outlook, By Fruits (2020-2028) ($MN)
72 South America Smart Harvest Market Outlook, By Site of Operation (2020-2028) ($MN)
73 South America Smart Harvest Market Outlook, By Greenhouse (2020-2028) ($MN)
74 South America Smart Harvest Market Outlook, By On Field (2020-2028) ($MN)
75 South America Smart Harvest Market Outlook, By Indoor (2020-2028) ($MN)
76 Middle East & Africa Smart Harvest Market Outlook, By Country (2020-2028) ($MN)
77 Middle East & Africa Smart Harvest Market Outlook, By Component (2020-2028) ($MN)
78 Middle East & Africa Smart Harvest Market Outlook, By Hardware (2020-2028) ($MN)
79 Middle East & Africa Smart Harvest Market Outlook, By Sensors (2020-2028) ($MN)
80 Middle East & Africa Smart Harvest Market Outlook, By Harvesting Robots (2020-2028) ($MN)
81 Middle East & Africa Smart Harvest Market Outlook, By Imaging Systems (2020-2028) ($MN)
82 Middle East & Africa Smart Harvest Market Outlook, By Automation & Control Systems (2020-2028) ($MN)
83 Middle East & Africa Smart Harvest Market Outlook, By Software (2020-2028) ($MN)
84 Middle East & Africa Smart Harvest Market Outlook, By Crop Type (2020-2028) ($MN)
85 Middle East & Africa Smart Harvest Market Outlook, By Vegetables (2020-2028) ($MN)
86 Middle East & Africa Smart Harvest Market Outlook, By Fruits (2020-2028) ($MN)
87 Middle East & Africa Smart Harvest Market Outlook, By Site of Operation (2020-2028) ($MN)
88 Middle East & Africa Smart Harvest Market Outlook, By Greenhouse (2020-2028) ($MN)
89 Middle East & Africa Smart Harvest Market Outlook, By On Field (2020-2028) ($MN)
90 Middle East & Africa Smart Harvest Market Outlook, By Indoor (2020-2028) ($MN)

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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