Smart Agriculture Market
PUBLISHED: 2023 ID: SMRC22574
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Smart Agriculture Market

Smart Agriculture Market Forecasts to 2028 - Global Analysis By Agriculture Type (Precision Farming, Smart Greenhouse and Other Agriculture Types), Farm Size (Large, Small and Medium), Offering (Hardware, Software and Other offerings) and By Geography

4.4 (94 reviews)
4.4 (94 reviews)
Published: 2023 ID: SMRC22574

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 $20.3 BN

Projected Year Value (2028)

US $47.9 BN

CAGR (2022 - 2028)

15.4%

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

North America

Highest Growing Market

Asia Pacific


According to Stratistics MRC, the Global Smart Agriculture Market is accounted for $20.3 billion in 2022 and is expected to reach $47.9 billion by 2028 growing at a CAGR of 15.4% during the forecast period. Smart agriculture is a farming strategy that employs information technology to manage, analyse, and identify variability on a farm in order to maximise crop yield while minimising human work. Smart agriculture enables farmers to identify the exact amount of nourishment crops require to boost production by accessing real-time data about weather, yields, and soil quality. Farmers can employ advanced automation techniques to reduce labour and material costs with smart agriculture systems. Sensors and monitoring equipment are used in smart farming systems to help farmers make better decisions about water management, soil management, inventory control, and harvesting schedules.

According to a report published by the Food and Agriculture Organization, an Italy-based United Nations agency that provides information and support for sustainable agriculture, in 2021, acute food insecurity at crisis or worse levels was faced by almost 193 million people in 53 countries or territories (IPC/CH Phases 3-5), an increase of over 40 million people.



Market Dynamics:

Driver:

Surging adoption of Internet of Things (IoT) in agriculture

The expanding usage of Internet of Things (IoT) technology in agriculture assists farmers in product development monitoring by providing real-time help via IoT applications. IoT applications in traditional agriculture operations lower the amount of time and money spent on farming resources such as land, energy, and water, allowing farmers to focus on delivering high-quality food to their customers. Using IoT technology in agriculture enhances farm output while cutting carbon emissions through sophisticated sustainable solutions that conserve energy and water resources. As a result, the increased usage of the Internet of Things (IoT) in agriculture is expected to fuel global market growth during the forecast period.

Restraint:

Fragmented agriculture industry

Agriculture is a fragmented industry with a high number of tiny companies. It is not dominated by a single or a few major players. Implementing a standardised machine-to-machine (M2M) solution is difficult due to industrial fragmentation. Because of land fragmentation, input and resource distribution are inefficient, resulting in high costs. Because administering, supervising, and getting data from distributed farms is difficult, applying smart farming practises across scattered areas takes time, money, and resources. As a result, farmers will find it difficult to reap the benefits of scale for M2M systems.

Opportunity:

Agritech startups increased the adoption of smart agricultural practices

With the global pandemic, the use of artificial intelligence (AI) and the Internet of Things (IoT) in agriculture has increased significantly. Agritech startups are bringing fresh perspectives to the table. They are merging remote sensing, data analytics, Internet of Things (IoT), and artificial intelligence (AI) technology to provide farmers with quick solutions to their problems. During the COVID-19 restrictions, these developments aided in the development of technologies that allow producers to select their markets and sell their commodities at greater prices. There are almost 450 Agritech firms in India, according to the Federation of Indian Chambers of Commerce and Industry (FICCI), and the sector is developing at a rate of 25% per year.

Threat:

Livestock farming increasing environmental concerns and global warming

Cattle production accounts for 14-15% of the man-made greenhouse-gas emissions that are endangering the world. Livestock manure can interrupt the nitrogen cycle or contaminate streams. Livestock farming has a significant environmental impact and has a negative impact on the climate. It also contributes to land and water damage, biodiversity loss, acid rain, coral reef deterioration, and deforestation. The livestock industry already consumes approximately 10% of worldwide agricultural land and 8% of total accessible freshwater. It also contributes 15% of global CO2 emissions and is significantly responsible for deforestation and biodiversity loss.

Covid-19 Impact

The COVID-19 pandemic has a moderate impact on the growth of the global smart agriculture sector. Sales of food grains and dairy products increased and decreased for market participants in the smart agriculture sector. The disruptions of the supply chain and trade restrictions have hampered the growth of the global smart agriculture market. On the other hand, strict government laws surrounding food safety and security had a favourable impact on the growth of the worldwide smart agriculture industry.

The smart greenhouse segment is expected to be the largest during the forecast period

The smart greenhouse segment is estimated to have a lucrative growth, due to the expanding requirement for well-developed irrigation facilities and growing environmental concerns. Water and fertiliser management, HVAC control, yield monitoring, and other applications are examples of smart greenhouse applications. The primary applications of smart greenhouses are to give proper heating and ventilation to crops in the face of increased environmental concerns, which also drives the growth of the smart agriculture segment market.

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

The software segment is anticipated to witness the fastest CAGR growth during the forecast period. The segment's expansion is being driven by increasing technical advancements and the adoption of novel technologies. The software deployed in smart agriculture devices and equipment is cloud and web based. These programmes assist farmers and livestock owners with data collecting, tracking, and monitoring. As a result, the software segment in the smart agriculture industry is rapidly expanding.

Region with highest share:

North America is projected to hold the largest market share during the forecast period. Increasing government initiatives and regulations to improve the region's agriculture business are predicted to fuel regional demand in North America over the forecast period. The North America Climate Smart Agriculture Alliance (NACSAA) is a platform for teaching and equipping cultivators for long-term agricultural productivity. It was formed by a coalition of agricultural groups. Given the growing concern for water conservation, governments in North America are aggressively giving incentives to expand the uses of smart irrigation. For example, the state of California has offered a rebate on smart controllers.

Region with highest CAGR:

Asia Pacific is projected to have the highest CAGR over the forecast period. Although smart farming is still in its early stages in this region, expanding government backing and growing cultivator awareness are likely to drive regional demand during the projection period. In Japan, for example, the Ministry of Agriculture has provided funding for the development of precision agriculture. Farmers' associations and community-based organisations in each country play an important role in promoting sustainable agriculture.



Key players in the market

Some of the key players profiled in the Smart Agriculture Market include AGCO Corporation, Deere & Company, CropMetrics LLC, Gamaya, DeLaval Inc, BouMatic Robotic B.V., DICKEY-john, Farmers Edge Inc, AgJunction, Inc., Ag Leader Technology, Granular, Inc., DroneDeploy, Autonomous Solutions, Inc., CropZilla, AgEagle Aerial Systems Inc., CLAAS KGaA mbH, Grownetics, Inc. and Argus Control Systems Ltd

Key Developments:

In April 2021, AGCO Corporation, in a strategic partnership with EZ-Drops, an innovative agricultural equipment manufacturer, to provide AGCO’s dealers in North America with access to a new nutrient supply system. The nutrient application system is available at AGCO’s RoGator dealers with customized configurations. This system will help farmers to reduce excess spraying of nitrogen, resulting in decreased farm profitability.

In November 2020, AG Leader Technology improved its InCommand displays and expanded its SteerCommand product portfolio to include built in house SteerCommand Z2 and SteadySteer. End users can use a single use interface to steer and operate any farming equipment with these items.

Agriculture Types Covered:
• Precision Farming
• Smart Greenhouse
• Precision Forestry
• Livestock Monitoring
• Fish Farming
• Precision Aquaculture
• Other Agriculture Types

Farm Sizes Covered:
• Large
• Small
• Medium

Offerings Covered:
• Hardware
• Software
• Services
• Sensing Devices

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 Agriculture Market, By Agriculture Type
5.1 Introduction
5.2 Precision Farming
5.2.1 Yield monitoring
5.2.1.1 On-farm
5.2.1.2 Off-farm
5.2.1.3 Field mapping
5.2.2 Farm labor management
5.2.3 Inventory management
5.2.4 Irrigation management
5.2.5 Crop scouting
5.2.6 Weather tracking & forecasting
5.3 Smart Greenhouse
5.3.1 Water & fertilizer management
5.3.2 HVAC management
5.3.3 Yield monitoring
5.3.4 Other Smart Greenhouses
5.4 Precision Forestry
5.5 Livestock Monitoring
5.5.1 Animal comfort management
5.5.2 Breeding management
5.5.3 Feeding management
5.5.4 Milk harvesting
5.5.5 Other Livestock Monitorings
5.6 Fish Farming
5.7 Precision Aquaculture
5.8 Other Agriculture Types

6 Global Smart Agriculture Market, By Farm Size
6.1 Introduction
6.2 Large
6.3 Small
6.4 Medium

7 Global Smart Agriculture Market, By Offering
7.1 Introduction
7.2 Hardware
7.2.1 Valves & pumps
7.2.2 LED grow lights
7.2.3 HVAC system
7.2.4 Sensors & control systems
7.2.5 Other Hardwares
7.3 Software
7.3.1 Cloud-based
7.3.2 Web-based
7.4 Services
7.4.1 Analytics services
7.4.2 Assisted professional services
7.4.3 Climate information services
7.4.4 Farm operation services
7.4.5 Data services
7.4.6 Maintenance & support
7.4.7 Managed services
7.4.8 Supply chain management services
7.4.9 System integration & consulting
7.5 Sensing Devices
7.5.1 Climate sensors
7.5.2 Soil sensor
7.5.3 Water sensors
7.5.4 Other Sensing Devices

8 Global Smart Agriculture 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 AGCO Corporation
10.2 Deere & Company
10.3 CropMetrics LLC
10.4 Gamaya
10.5 DeLaval Inc
10.6 BouMatic Robotic B.V.
10.7 DICKEY-john
10.8 Farmers Edge Inc
10.9 AgJunction, Inc.
10.10 Ag Leader Technology
10.11 Granular, Inc.
10.12 DroneDeploy
10.13 Autonomous Solutions, Inc.
10.14 CropZilla
10.15 AgEagle Aerial Systems Inc.
10.16 CLAAS KGaA mbH
10.17 Grownetics, Inc.
10.18 Argus Control Systems Ltd

List of Tables
1 Global Smart Agriculture Market Outlook, By Region (2020-2028) ($MN)
2 Global Smart Agriculture Market Outlook, By Agriculture Type (2020-2028) ($MN)
3 Global Smart Agriculture Market Outlook, By Precision Farming (2020-2028) ($MN)
4 Global Smart Agriculture Market Outlook, By Yield monitoring (2020-2028) ($MN)
5 Global Smart Agriculture Market Outlook, By On-farm (2020-2028) ($MN)
6 Global Smart Agriculture Market Outlook, By Off-farm (2020-2028) ($MN)
7 Global Smart Agriculture Market Outlook, By Field mapping (2020-2028) ($MN)
8 Global Smart Agriculture Market Outlook, By Farm labor management (2020-2028) ($MN)
9 Global Smart Agriculture Market Outlook, By Inventory management (2020-2028) ($MN)
10 Global Smart Agriculture Market Outlook, By Irrigation management (2020-2028) ($MN)
11 Global Smart Agriculture Market Outlook, By Crop scouting (2020-2028) ($MN)
12 Global Smart Agriculture Market Outlook, By Weather tracking & forecasting (2020-2028) ($MN)
13 Global Smart Agriculture Market Outlook, By Smart Greenhouse (2020-2028) ($MN)
14 Global Smart Agriculture Market Outlook, By Water & fertilizer management (2020-2028) ($MN)
15 Global Smart Agriculture Market Outlook, By HVAC management (2020-2028) ($MN)
16 Global Smart Agriculture Market Outlook, By Yield monitoring (2020-2028) ($MN)
17 Global Smart Agriculture Market Outlook, By Other Smart Greenhouses (2020-2028) ($MN)
18 Global Smart Agriculture Market Outlook, By Precision Forestry (2020-2028) ($MN)
19 Global Smart Agriculture Market Outlook, By Livestock Monitoring (2020-2028) ($MN)
20 Global Smart Agriculture Market Outlook, By Animal comfort management (2020-2028) ($MN)
21 Global Smart Agriculture Market Outlook, By Breeding management (2020-2028) ($MN)
22 Global Smart Agriculture Market Outlook, By Feeding management (2020-2028) ($MN)
23 Global Smart Agriculture Market Outlook, By Milk harvesting (2020-2028) ($MN)
24 Global Smart Agriculture Market Outlook, By Other Livestock Monitorings (2020-2028) ($MN)
25 Global Smart Agriculture Market Outlook, By Fish Farming (2020-2028) ($MN)
26 Global Smart Agriculture Market Outlook, By Precision Aquaculture (2020-2028) ($MN)
27 Global Smart Agriculture Market Outlook, By Other Agriculture Types (2020-2028) ($MN)
28 Global Smart Agriculture Market Outlook, By Farm Size (2020-2028) ($MN)
29 Global Smart Agriculture Market Outlook, By Large (2020-2028) ($MN)
30 Global Smart Agriculture Market Outlook, By Small (2020-2028) ($MN)
31 Global Smart Agriculture Market Outlook, By Medium (2020-2028) ($MN)
32 Global Smart Agriculture Market Outlook, By Offering (2020-2028) ($MN)
33 Global Smart Agriculture Market Outlook, By Hardware (2020-2028) ($MN)
34 Global Smart Agriculture Market Outlook, By Valves & pumps (2020-2028) ($MN)
35 Global Smart Agriculture Market Outlook, By LED grow lights (2020-2028) ($MN)
36 Global Smart Agriculture Market Outlook, By HVAC system (2020-2028) ($MN)
37 Global Smart Agriculture Market Outlook, By Sensors & control systems (2020-2028) ($MN)
38 Global Smart Agriculture Market Outlook, By Other Hardwares (2020-2028) ($MN)
39 Global Smart Agriculture Market Outlook, By Software (2020-2028) ($MN)
40 Global Smart Agriculture Market Outlook, By Cloud-based (2020-2028) ($MN)
41 Global Smart Agriculture Market Outlook, By Web-based (2020-2028) ($MN)
42 Global Smart Agriculture Market Outlook, By Services (2020-2028) ($MN)
43 Global Smart Agriculture Market Outlook, By Analytics services (2020-2028) ($MN)
44 Global Smart Agriculture Market Outlook, By Assisted professional services (2020-2028) ($MN)
45 Global Smart Agriculture Market Outlook, By Climate information services (2020-2028) ($MN)
46 Global Smart Agriculture Market Outlook, By Farm operation services (2020-2028) ($MN)
47 Global Smart Agriculture Market Outlook, By Data services (2020-2028) ($MN)
48 Global Smart Agriculture Market Outlook, By Maintenance & support (2020-2028) ($MN)
49 Global Smart Agriculture Market Outlook, By Managed services (2020-2028) ($MN)
50 Global Smart Agriculture Market Outlook, By Supply chain management services (2020-2028) ($MN)
51 Global Smart Agriculture Market Outlook, By System integration & consulting (2020-2028) ($MN)
52 Global Smart Agriculture Market Outlook, By Sensing Devices (2020-2028) ($MN)
53 Global Smart Agriculture Market Outlook, By Climate sensors (2020-2028) ($MN)
54 Global Smart Agriculture Market Outlook, By Soil sensor (2020-2028) ($MN)
55 Global Smart Agriculture Market Outlook, By Water sensors (2020-2028) ($MN)
56 Global Smart Agriculture Market Outlook, By Other Sensing Devices (2020-2028) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.

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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