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[ 英語タイトル ] Smart Harvest Market by Site of Operation (On-field, Greenhouse, Indoor), Component (Harvesting Robots, Automation & Control Systems, Imaging Systems, Sensors, Software), Crop Type (Fruits and Vegetables), and Region - Global Forecast to 2023


Product Code : MNMAG00106467
Survey : MarketsandMarkets
Publish On : February, 2021
Category : Agriculture and Allied Activities
Study Area : Global
Report format : PDF
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[Report Description]

“The smart harvest market is projected to grow at a CAGR of 11.81% during the forecast period.”

The smart harvest market is estimated at USD 9.0 billion in 2018 and projected to grow at a CAGR of 11.81%, to reach USD 15.6 billion by 2023. The growth of the smart harvest market is driven by the labor shortages in farms and increasing demand for fully automated solutions in farms. The key driver for market growth is the cost efficiency benefits offered by fully automated robots in terms of the harvest area and reduction in overhead costs for farms. Smart harvest systems and technologies involves the adoption of artificial intelligence (AI), GPS, cloud machine learning, satellite imagery, and advanced analytics. Harvesting is one of the major phases of farming and the use of various smart devices increases the output and thus decreases the overall loss.
“Hardware components segment led the market with the largest share in 2017.”
On the basis of component, smart harvest is predominantly used in the hardware segment. The smart harvest systems use multiple types of hardware and software components, which are integrated to deliver the expected results. The smart harvest systems incorporate the use of sensors and robots which work in unison to perform the task. The sensors perform monitoring tasks which include observing the soil and yield monitoring functions to ensure the produce stays within the required parameters. The hardware functions are integrated with an independent software which relays information from different sensors surrounding the robot.

“Indoor applications of smart harvest systems accounted for a larger share in 2017.”
Based on site of deployment, the indoor segment is estimated to account for a larger share in 2018. Indoor or vertical farming involves the production of food in vertical layers stacked upon each other and supplemented with soil nutrients and water. These crops are grown using a multitude of methods including hydroponics, aquaponics, aeroponics, and soil-based or hybrid methods and can be adapted to a wide variety of urban settings. The smart harvest systems used in indoor farming employ a similar operational structure as that of greenhouses. The systems are reliant on multiple sensors installed throughout to understand the surroundings and navigate across the work area. High-resolution multi-spectral cameras and imaging sensors observe and monitor the produce to determine the time for harvest.

“Fruits to be the fastest-growing crop type in the smart harvest market for the next 5 years.”
Based on crop type, the fruits segment is projected to be the fastest-growing during the forecast period. Fruits have emerged as a key area of application for smart harvest systems, given the high manufacturer presence and the technologies being developed to harvest different types of fruits. The presence of smart harvest technologies in fruits is crucial to overcome the labor shortage and meet the demanding nature of the task. Fruits such as strawberries and apples are difficult to harvest, and the high degree of manual labor involved in the harvest tends to inflate the cost of the final product.

“High growth is projected in the Asia Pacific smart harvest market from 2018 to 2023.”

The Asia Pacific market is projected to be the fastest-growing market for the period considered for this study due to the strong potential for growth given the large-scale production and increasing population in the region. In addition, the agriculture industry is deeply integrated into the economies of China and Australia where agricultural produce forms a crucial part of the exports.
Break-up of Primaries:
 By Company Type: Tier 1 - 35 %, Tier 2 - 45%, and Tier 3 - 20%
 By Designation: C Level - 35%, D Level - 25%, and Others* - 40%
 By Region: Asia Pacific – 30%, North America - 45%, Europe - 20%, S and RoW - 5%

*Others include sales managers, marketing managers, and product managers.
Leading players profiled in this report:
The scope of this report includes a detailed study of those manufacturers whose portfolio mentions the end use of its systems and technologies for smart harvest operations. Key players in the market include Robert Bosch GmbH (Germany), Deere & Company (US), Smart Harvest Ltd. (UK), Dogtooth Technologies (UK), Harvest Automation (US), Panasonic Corporation (Japan), Root AI (US), Abundant Robotics (US), Iron Ox (US), Agrobot (Spain), Energid Technologies Corp. (US), FFRobotics (Israel), Vision Robotics Corp. (US), Metomotion (Israel), AVL Motion (Netherlands), and Harvest Croo (US).
Research Coverage:
The report segments the smart harvest on the basis of component, site of operation, crop type, and region. In terms of insights, this report has focused on various levels of analyses—competitive landscape, end-use analysis, and company profiles, which together comprise and discuss views on the emerging & high-growth segments of the global smart harvest, high-growth regions, countries, government initiatives, drivers, restraints, opportunities, and challenges.
Reasons to buy this report:
• To get a comprehensive overview of the smart harvest
• To gain wide-ranging information about the top players in this industry, their product portfolios, and key strategies adopted by them
• To gain insights about the major countries/regions in which the smart harvest market is flourishing

TABLE OF CONTENTS

1 INTRODUCTION 15
1.1 OBJECTIVES OF THE STUDY 15
1.2 MARKET DEFINITION 15
1.3 STUDY SCOPE 16
1.4 PERIODIZATION CONSIDERED 17
1.5 CURRENCY CONSIDERED 17
1.6 STAKEHOLDERS 18
2 RESEARCH METHODOLOGY 19
2.1 RESEARCH DATA 19
2.1.1 SECONDARY DATA 20
2.1.2 PRIMARY DATA 20
2.1.2.1 Key industry insights 20
2.1.2.2 Breakdown of primary interviews 21
2.2 MARKET SIZE ESTIMATION 21
2.3 DATA TRIANGULATION 23
2.4 RESEARCH ASSUMPTIONS 24
2.5 LIMITATIONS 25
3 EXECUTIVE SUMMARY 26
4 PREMIUM INSIGHTS 31
4.1 ATTRACTIVE OPPORTUNITIES IN THE SMART HARVEST MARKET 31
4.2 SMART HARVEST MARKET, BY COMPONENT 32
4.3 NORTH AMERICA: SMART HARVEST MARKET, BY SITE OF OPERATION AND COUNTRY 33
4.4 HARVESTING ROBOTS MARKET, BY CROP TYPE 34
4.5 SMART HARVEST MARKET SHARE, BY KEY COUNTRY 35
5 MARKET OVERVIEW 36
5.1 INTRODUCTION 36
5.2 MACROECONOMIC INDICATORS 37
5.2.1 DECREASING FARM LANDHOLDING CAPACITY 37
5.2.2 EXPORT POTENTIAL OF GLOBAL MARKETS 38
5.3 MARKET DYNAMICS 39
5.3.1 DRIVERS 39
5.3.1.1 Growing farm labor issues due to higher costs and availability 39
5.3.1.2 Improving profitability in farming through the adoption of advanced technologies 40
5.3.1.3 Cost efficiency benefits offered by smart harvest systems 41
5.3.1.4 Favorable government initiatives to propel the adoption of smart harvest systems 41
5.3.2 RESTRAINTS 42
5.3.2.1 High capital costs involved in the deployment of smart harvest technologies 42
5.3.3 OPPORTUNITIES 42
5.3.3.1 High-growth opportunities for simpler harvest technologies in developing countries 42
5.3.3.2 High-growth opportunities for automated harvesting robots in developed countries 43
5.3.3.3 Integration of artificial intelligence and big data in farming 43
5.3.4 CHALLENGES 43
5.3.4.1 Collection, management, and representation of data gathered by smart harvest systems 43
5.3.4.2 Commercial deployment of smart harvest technologies is a slow and gradual process 43
5.3.4.3 Limited technical knowledge possessed by farmers toward smart harvest technologies 44
5.4 REGULATORY FRAMEWORK 44
5.4.1 REGULATORY FRAMEWORK FOR DRONES 44
5.4.1.1 Drone Regulations in India 44
5.4.1.2 US Drone Regulations 48
5.4.1.3 UK Drone Regulations 49
5.4.1.4 Other Drone Regulations 50
5.4.2 EUROPEAN UNION REGULATORY FRAMEWORK FOR ROBOTS 51
5.4.2.1 A common definition of smart autonomous robots 51
5.4.2.1.1 Terminological limits of the notions of an “autonomous robot” and a “smart robot” 52
5.4.2.2 Liability for damages caused by an autonomous robot 53
6 SMART HARVEST MARKET, BY SITE OF OPERATION 54
6.1 INTRODUCTION 55
6.2 ON-FIELD 56
6.2.1 TECHNOLOGICAL ADVANCEMENTS IN POSITIONING SYSTEMS TO DRIVE GROWTH FOR ON-FIELD APPLICATIONS 56
6.3 GREENHOUSES 58
6.3.1 SMART GREENHOUSES TO BOLSTER PROSPECTS FOR SMART HARVEST TECHNOLOGIES 58
6.4 INDOOR FARMING 59
6.4.1 SHRINKING AGRICULTURAL LAND AND TECHNOLOGICAL INNOVATIONS IN INDOOR FARMING TO AID MARKET GROWTH 59

7 SMART HARVEST MARKET, BY CROP TYPE 61
7.1 INTRODUCTION 62
7.2 VEGETABLES 63
7.2.1 EQUIPMENT AVAILABILITY TO DRIVE GROWTH FOR SMART VEGETABLE HARVESTING 63
7.3 FRUITS 64
7.3.1 LABOR SHORTAGES AND HIGH COSTS OF MANUAL HARVESTING TO DRIVE GROWTH OF SMART HARVEST OF FRUITS 64
8 SMART HARVEST MARKET, BY COMPONENT 66
8.1 INTRODUCTION 67
8.2 HARDWARE 68
8.2.1 ADVANCEMENTS IN IMAGING SYSTEMS TO DRIVE GROWTH FOR HARDWARE COMPONENTS IN SMART HARVEST ROBOTS 68
8.3 SOFTWARE 70
8.3.1 REQUIREMENT OF OPTIMUM FUNCTIONALITY AND EFFICIENT HARDWARE INTEGRATION TO DRIVE THE GROWTH OF SOFTWARE APPLICATIONS IN SMART HARVEST SYSTEMS 70
9 SMART HARVEST MARKET, BY REGION 72
9.1 INTRODUCTION 73
9.2 NORTH AMERICA 74
9.2.1 US 77
9.2.1.1 Labor shortages and technological advancements to drive US smart harvest market 77
9.2.2 CANADA 78
9.2.2.1 Increasing greenhouses and demand for connected systems to bolster prospects in Canadian smart harvest market 78
9.2.3 MEXICO 79
9.2.3.1 Increasing exports drive growth for smart harvest technologies in Mexico 79
9.3 EUROPE 80
9.3.1 GERMANY 83
9.3.1.1 Government policies to overhaul German smart harvest market 83
9.3.2 UK 84
9.3.2.1 Skilled workforce in UK farms seeking to integrate smart harvest systems 84
9.3.3 FRANCE 84
9.3.3.1 Modernization of French farms to be the key driver for smart harvest systems in the country 84
9.3.4 ITALY 85
9.3.4.1 Demand from greenhouses to fuel market growth for smart harvest technologies in Italy 85

9.3.5 NETHERLANDS 85
9.3.5.1 Robust agriculture industry and trade prospects drives demand for smart harvest in the Netherlands 85
9.3.6 REST OF EUROPE 86
9.4 ASIA PACIFIC 87
9.4.1 CHINA 89
9.4.1.1 Increasing population and government initiatives drive growth for smart harvest technologies in China 89
9.4.2 JAPAN 90
9.4.2.1 Sensors and robots pave the way for smart harvest growth in Japan 90
9.4.3 AUSTRALIA 91
9.4.3.1 Public-private partnerships play a key role in developing smart harvest systems in Australia 91
9.4.4 REST OF ASIA PACIFIC 92
9.5 SOUTH AMERICA 93
9.5.1 BRAZIL 94
9.5.1.1 Untapped agriculture potential in Brazil to improve prospects for smart harvest market 94
9.5.2 ARGENTINA 95
9.5.2.1 Increasing adoption of advanced farming equipment in Argentina supplements growth of smart harvest technologies. 95
9.6 REST OF SOUTH AMERICA 96
9.6.1 REST OF THE WORLD (ROW) 97
9.6.2 MIDDLE EAST 98
9.6.2.1 High-value crop farmers in the Middle East seek to integrate smart harvest technologies 98
9.6.3 AFRICA 99
9.6.3.1 Regional and international efforts seek to integrate smart harvest technologies in African agriculture industry 99
10 COMPETITIVE LANDSCAPE 100
10.1 OVERVIEW 100
10.2 COMPETITIVE LEADERSHIP MAPPING 102
10.3 PROGRESSIVE, RESPONSIVE, DYNAMIC, AND STARTING BLOCKS 103
10.3.1 PROGRESSIVE COMPANIES 103
10.3.2 RESPONSIVE COMPANIES 103
10.3.3 DYNAMIC COMPANIES 103
10.3.4 STARTING BLOCKS 103
10.4 COMPETITIVE SCENARIO & TRENDS 103
10.4.1 NEW PRODUCT DEVELOPMENT AND LAUNCHES 103
10.4.2 DIVESTMENT 104

11 COMPANY PROFILES 105
(Business overview, Products offered, Recent Developments, SWOT analysis, MNM view)*
11.1 DEERE & COMPANY 105
11.2 ROBERT BOSCH GMBH 108
11.3 PANASONIC CORPORATION 110
11.4 ENERGID TECHNOLOGIES CORPORATION 113
11.5 SMART HARVEST LTD. 115
11.6 HARVEST AUTOMATION 117
11.7 DOGTOOTH TECHNOLOGIES 118
11.8 AVL MOTION B.V. 119
11.9 ABUNDANT ROBOTICS 120
11.10 IRON OX 121
11.11 FFROBOTICS 122
11.12 VISION ROBOTICS CORPORATION 123
11.13 METOMOTION 124
11.14 AGROBOT 125
11.15 HARVEST CROO 126
11.16 ROOT AI 127
11.17 KEY INNOVATORS 128
11.17.1 EXABIT SYSTEMS PVT. LTD. 128
11.17.2 CERESCON B.V. 128
11.17.3 OCTINION BVBA 128
11.17.4 KMS PROJECTS LTD. 128
*Details on Business overview, Products offered, Recent Developments, SWOT analysis, MNM view might not be captured in case of unlisted companies.
12 APPENDIX 129
12.1 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 132
12.2 AVAILABLE CUSTOMIZATIONS 134
12.3 RELATED REPORTS 135
12.4 AUTHOR DETAILS 136

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