The Smart Agriculture Market size was valued at USD 16.1 Billion in 2023 and is expected to grow to USD 33.6 Billion By 2031 and grow at a CAGR of 9.6 % over the forecast period of 2024-2031.
Smart Agriculture is defined as the utilization of one or more technologies in the agricultural process to enhance efficiency and effectiveness. It represents a groundbreaking and transformative approach to farming that optimizes output while reducing human labor. This innovative method incorporates advanced hardware, services, and software into various aspects of farming, including irrigation management, agricultural scouting, harvesting, sowing, and numerous other applications. By harnessing the power of technology, smart farming revolutionizes traditional agricultural practices, paving the way for increased productivity and sustainability.
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Drivers
IoT, ROVs, and AI are increasingly being used in aquaculture production.
Use of smart sensor technologies in poly houses and greenhouses.
In recent years, the worldwide aquaculture business has seen great developments in aquaculture tools, techniques, and technology. The growing proclivity of the global population to consume a protein-rich diet is increasing aquaculture farm owners' adoption of cutting-edge technologies such as the Internet of Things (IoT), Remotely Operated Vehicles (ROVs), artificial intelligence (AI), automatic feeders, and acoustic telemetry tracking systems and machine learning. The application of these technologies in aquaculture farming aids in increasing aquaculture output, improving production efficiency, reducing resource waste, and improving accuracy, precision, and repeatability in farming operations while giving high profitability to farm owners.
Restrains
High capital investment is required.
Agriculture industry fragmentation
Agriculture is a decentralized industry, with many large, medium, and small farms working independently. Because each farm runs differently and may have various requirements, creating a standardized machine-to-machine (M2M) solution is tough. Land fragmentation causes an inefficient distribution of inputs and resources, resulting in high costs. Because it is difficult to administer, oversee, and collect data from distant lands, implementing smart agriculture technology across fragmented regions wastes time, money, and resources. This also makes achieving economies of scale for M2M solutions challenging for farmers.
Opportunities
Emerging countries are increasingly using livestock monitoring technology.
Use of Technologically Advanced vehicles or Drones in Agriculture
Modern technologies like as variable rate technology (VRT) and data management software are used.
A variety of sensors such as load, temperature, and vibration are available.
Challenges
Lack of knowledge about the technology among the farmers.
Livestock rearing is raising environmental issues and contributing to global warming.
Impact of the Russia-Ukraine War
The Russia-Ukraine war has the potential to impact the Smart Agriculture market
The conflict between Russia and Ukraine can lead to disruptions in supply chains, including the flow of agricultural products and equipment. This can affect the availability and accessibility of smart agriculture technologies, components, and devices, leading to delays in implementation and increased costs. Russia and Ukraine are the largest exporters of wheat in the world Russia exports 17% and Ukraine 16% of global export, Due to the conflicts, there is reduce in export. Due to the conflicts the reduce in investment in smart agriculture. The conflict can result in damage to agricultural land, buildings, and infrastructure, such as irrigation systems and storage facilities. This destruction can significantly impact the implementation and effectiveness of smart agriculture solutions, as the physical infrastructure plays a crucial role in deploying advanced technologies.
Kyiv-based Ukrainian agriculture journalist Iurii Mykhailov said that the livestock farms and cows were destroyed by 15% and 10% respectively due to war.
Rebuilding and repairing damaged infrastructure will require time and resources.
The Russia-Ukraine war may cause shifts in agricultural production and trade patterns. Disruptions in Ukraine's agricultural sector, which is known for its large-scale grain production and exports, can lead to changes in global supply chains. This, in turn, can affect the demand for smart agriculture technologies as the focus shifts to other regions for food production.
Impact of the Recession
The impact of a recession on the smart agriculture market can vary depending on the specific circumstances and factors involved. During a recession, companies and individuals often tighten their budgets and cut back on discretionary spending, including investments in new technologies. This could lead to a slowdown in the adoption of smart agriculture solutions as farmers and agricultural businesses prioritize cost-cutting measures over technological advancements. Startups and companies operating in the smart agriculture sector may face difficulties in securing funding during a recession. Venture capital investments and other forms of funding might become scarce, making it harder for these companies to develop and expand their innovative solutions. This can hinder the progress and development of the smart agriculture market. During an economic downturn, farmers and agricultural businesses may shift their priorities towards more immediate concerns such as cost reduction and ensuring operational sustainability. They may postpone investments in smart agriculture until the economic situation stabilizes, leading to a temporary slowdown in market growth.
Governments often implement stimulus packages and policies during recessions to stimulate economic growth and support specific sectors. In some cases, governments may provide financial incentives or subsidies to promote the adoption of smart agriculture technologies. Such measures can mitigate the negative impact of a recession and foster growth in the market.
By Agriculture Type
Precision farming
Livestock monitoring
Smart greenhouse
Others
By offering
Hardware
software
By Farm Size
Small Farms
Medium Farms
Large Farms
By Application
Precision farming application
Livestock monitoring application
Smart greenhouse application
Others
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North America led the worldwide smart agriculture market. Growing government initiatives and regulations to improve the region's agriculture business are predicted to fuel regional demand in North America over the forecast period. Several agricultural organizations have joined forces to create the North America Climate Smart Agriculture Alliance (NACSAA), a platform for teaching and equipping farmers for long-term agricultural production. With increased concern for water conservation, governments in North America are aggressively giving incentives to expand the use of smart irrigation. For example, the state of California has offered a discount for smart controllers.
During the projection period, the Asia Pacific smart agriculture industry is predicted to develop at the fastest CAGR. Some of the primary drivers driving market expansion in this area include the increased implementation of variable rate technology and smart irrigation controllers, as well as AI-based farm analytics services. The increasing need for automation of livestock farms and aquaculture farms in this area is likely to fuel the expansion of the Asia Pacific smart agriculture market.
REGIONAL COVERAGE:
North America
US
Canada
Mexico
Europe
Eastern Europe
Poland
Romania
Hungary
Turkey
Rest of Eastern Europe
Western Europe
Germany
France
UK
Italy
Spain
Netherlands
Switzerland
Austria
Rest of Western Europe
Asia Pacific
China
India
Japan
South Korea
Vietnam
Singapore
Australia
Rest of Asia Pacific
Middle East & Africa
Middle East
UAE
Egypt
Saudi Arabia
Qatar
Rest of Middle East
Africa
Nigeria
South Africa
Rest of Africa
Latin America
Brazil
Argentina
Colombia
Rest of Latin America
The major players are Grownetics, Inc., Deere & Company, CropMetrics LLC, Argus Control Systems Ltd, AGCO Corporation, Ag Leader Technology, AgJunction, Inc., CropZilla, Inc., DICKEY-john, AgEagle Aerial Systems Inc., Autonomous Solutions, Inc., BouMatic Robotic B.V., CLAAS KGaA mbH, DroneDeploy, Farmers Edge, Inc., DeLaval Inc, Granular, Inc., Trimble Inc., Gamaya, GEA Group Aktiengesellschaft, Raven Industries, Inc., and others.
CropMetrics LLC-Company Financial Analysis
Trimble Inc. will release two screens for precision agriculture applications, the GFX-1060 and GFX-1260, in October 2022. Farmers can carry out in-field chores quickly and effectively with these next-generation monitors, which allow them to precisely map and monitor field data in real-time.
Patriot made the next step forward in spray technology and communication in Australia in February 2022. For more than two decades, the Case, IH Patriot sprayer has been a mainstay in many farming operations. The newest Case IH application technology, the new Patriot 50 series, is going to be presented to Australian clients.
In January 2022, new Hexagon technology provided accuracy in excavator planting. The launch of HxGN AgrOn Planting Assistant is aimed squarely at the forest market. It can, however, be customized to improve operations on other crop types such as palm oil, citrus, and coffee.
| Report Attributes | Details |
| Market Size in 2023 | US$ 16.1 Bn |
| Market Size by 2031 | US$ 33.6 Bn |
| CAGR | CAGR of 9.6 % From 2024 to 2031 |
| Base Year | 2022 |
| Forecast Period | 2024-2031 |
| Historical Data | 2020-2021 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Agriculture Type (Precision farming, Livestock Monitoring, Smart Greenhouse, Others) • By Offering (Hardware, Software) • By Farm Size (Small Farms, Medium Farms, Large Farms) • By Application (Precision farming application, Livestock monitoring application, Smart greenhouse application, Others.) |
| Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]), Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa]), Latin America (Brazil, Argentina, Colombia Rest of Latin America) |
| Company Profiles | Grownetics, Inc., Deere & Company, CropMetrics LLC, Argus Control Systems Ltd, AGCO Corporation, Ag Leader Technology, AgJunction, Inc., CropZilla, Inc., DICKEY-john, AgEagle Aerial Systems Inc., Autonomous Solutions, Inc., BouMatic Robotic B.V., CLAAS KGaA mbH, DroneDeploy, Farmers Edge, Inc., DeLaval Inc, Granular, Inc., Trimble Inc., Gamaya, GEA Group Aktiengesellschaft, Raven Industries, Inc., and others. |
| Key Drivers | • IoT, ROVs, and AI are increasingly being used in aquaculture production. • Use of smart sensor technologies in poly houses and greenhouses. |
| Market Opportunities | • Emerging countries are increasingly using livestock monitoring technology. • Use of Technologically Advanced vehicles or Drones in Agriculture |
Ans: 9.6 % is the CAGR of the Smart Agriculture Market in the forecast period of 2024-2031.
Ans: USD 33.6 billion in 2031 is the market share of the Smart Agriculture Market.
Ans:The major players are Grownetics, Inc., Deere & Company, CropMetrics LLC, Argus Control Systems Ltd, AGCO Corporation, Ag Leader Technology, AgJunction, Inc., CropZilla, Inc., DICKEY-john, AgEagle Aerial Systems Inc., Autonomous Solutions, Inc., BouMatic Robotic B.V., CLAAS KGaA mbH, DroneDeploy, Farmers Edge, Inc., DeLaval Inc, Granular, Inc., Trimble Inc., Gamaya, GEA Group Aktiengesellschaft, Raven Industries, Inc., and others.
Ans: The forecast period for the Smart Agriculture Market is 2024-2031.
Ans: The North American region is dominating the Smart Agriculture Market.
Table of Contents
1. Introduction
1.1 Market Definition
1.2 Scope
1.3 Research Assumptions
2. Research Methodology
3. Market Dynamics
3.1 Drivers
3.2 Restraints
3.3 Opportunities
3.4 Challenges
4. Impact Analysis
4.1 Impact of Russia-Ukraine War
4.2 Impact of Ongoing Recession
4.2.1 Introduction
4.2.2 Impact on major economies
4.2.2.1 US
4.2.2.2 Canada
4.2.2.3 Germany
4.2.2.4 France
4.2.2.5 United Kingdom
4.2.2.6 China
4.2.2.7 japan
4.2.2.8 South Korea
4.2.2.9 Rest of the World
5. Value Chain Analysis
6. Porter’s 5 forces model
7. PEST Analysis
8. Smart Agriculture Market Segmentation, By Agriculture Type
8.1 Precision farming
8.2 Livestock monitoring
8.3 Smart greenhouse
8.4 Others
9. Smart Agriculture Market Segmentation, By Offering
9.1 Hardware
9.2 Software
10. Smart Agriculture Market Segmentation, By Farm Size
10.1 Small Farms
10.2 Medium Farms
10.3 Large Farms
11. Smart Agriculture Market Segmentation, By Application
11.1 Precision farming application
11.2 Livestock monitoring application
11.3 Smart Greenhouse application
11.4 Others
12. Regional Analysis
12.1 Introduction
12.2 North America
12.2.1 North America Smart Agriculture Market By Country
12.2.2 North America Smart Agriculture Market By Agriculture Type
12.2.3 North America Smart Agriculture Market By Offering
12.2.4 North America Smart Agriculture Market By Farm Size
12.2.5 North America Smart Agriculture Market By Application
12.2.6 USA
12.2.6.1 USA Smart Agriculture Market By Agriculture Type
12.2.6.2 USA Smart Agriculture Market By Offering
12.2.6.3 USA Smart Agriculture Market By Farm Size
12.2.6.4 USA Smart Agriculture Market By Application
12.2.7 Canada
12.2.7.1 Canada Smart Agriculture Market By Agriculture Type
12.2.7.2 Canada Smart Agriculture Market By Offering
12.2.7.3 Canada Smart Agriculture Market By Farm Size
12.2.7.4 Canada Smart Agriculture Market By Application
12.2.8 Mexico
12.2.8.1 Mexico Smart Agriculture Market By Raw Technology
12.2.8.2 Mexico Smart Agriculture Market By Offering
12.2.8.3 Mexico Smart Agriculture Market By Farm Size
12.2.8.4 Mexico Smart Agriculture Market By Application
12.3 Europe
12.3.1 Eastern Europe
12.3.1.1 Eastern Europe Smart Agriculture Market By Country
12.3.1.2 Eastern Europe Smart Agriculture Market By Agriculture Type
12.3.1.3 Eastern Europe Smart Agriculture Market By Offering
12.3.1.4 Eastern Europe Smart Agriculture Market By Farm Size
12.3.1.5 Eastern Europe Smart Agriculture Market By Application
12.3.1.6 Poland
12.3.1.6.1 Poland Smart Agriculture Market By Agriculture Type
12.3.1.6.2 Poland Smart Agriculture Market By Offering
12.3.1.6.3 Poland Smart Agriculture Market By Farm Size
12.3.1.6.4 Poland Smart Agriculture Market By Application
12.3.1.7 Romania
12.3.1.7.1 Romania Smart Agriculture Market By Agriculture Type
12.3.1.7.2 Romania Smart Agriculture Market By Offering
12.3.1.7.3 Romania Smart Agriculture Market By Farm Size
12.3.1.7.4 Romania Smart Agriculture Market By Application
12.3.1.8 Hungary
12.3.1.8.1 Hungary Smart Agriculture Market By Agriculture Type
12.3.1.8.2 Hungary Smart Agriculture Market By Offering
12.3.1.8.3 Hungary Smart Agriculture Market By Farm Size
12.3.1.8.4 Hungary Smart Agriculture Market By Application
12.3.1.9 Turkey
12.3.1.9.1 Turkey Smart Agriculture Market By Agriculture Type
12.3.1.9.2 Turkey Smart Agriculture Market By Offering
12.3.1.9.3 Turkey Smart Agriculture Market By Farm Size
12.3.1.9.4 Turkey Smart Agriculture Market By Application
12.3.1.10 Rest of Eastern Europe
12.3.1.10.1 Rest of Eastern Europe Smart Agriculture Market By Agriculture Type
12.3.1.10.2 Rest of Eastern Europe Smart Agriculture Market By Offering
12.3.1.10.3 Rest of Eastern Europe Smart Agriculture Market By Farm Size
12.3.1.10.4 Rest of Eastern Europe Smart Agriculture Market By Application
12.3.2 Western Europe
12.3.2.1 Western Europe Smart Agriculture Market By Country
12.3.2.2 Western Europe Smart Agriculture Market By Agriculture Type
12.3.2.3 Western Europe Smart Agriculture Market By Offering
12.3.2.4 Western Europe Smart Agriculture Market By Farm Size
12.3.2.5 Western Europe Smart Agriculture Market By Application
12.3.2.6 Germany
12.3.2.6.1 Germany Smart Agriculture Market By Agriculture Type
12.3.2.6.2 Germany Smart Agriculture Market By Offering
12.3.2.6.3 Germany Smart Agriculture Market By Farm Size
12.3.2.6.4 Germany Smart Agriculture Market By Application
12.3.2.7 France
12.3.2.7.1 France Smart Agriculture Market By Agriculture Type
12.3.2.7.2 France Smart Agriculture Market By Offering
12.3.2.7.3 France Smart Agriculture Market By Farm Size
12.3.2.7.4 France Smart Agriculture Market By Application
12.3.2.8 UK
12.3.2.8.1 UK Smart Agriculture Market By Agriculture Type
12.3.2.8.2 UK Smart Agriculture Market By Offering
12.3.2.8.3 UK Smart Agriculture Market By Farm Size
12.3.2.8.4 UK Smart Agriculture Market By Application
12.3.2.9 Italy
12.3.2.9.1 Italy Smart Agriculture Market By Agriculture Type
12.3.2.9.2 Italy Smart Agriculture Market By Offering
12.3.2.9.3 Italy Smart Agriculture Market By Farm Size
12.3.2.9.4 Italy Smart Agriculture Market By Application
12.3.2.10 Spain
12.3.2.10.1 Spain Smart Agriculture Market By Agriculture Type
12.3.2.10.2 Spain Smart Agriculture Market By Offering
12.3.2.10.3 Spain Smart Agriculture Market By Farm Size
12.3.2.10.4 Spain Smart Agriculture Market By Application
12.3.2.11 Netherlands
12.3.2.11.1 Netherlands Smart Agriculture Market By Agriculture Type
12.3.2.11.2 Netherlands Smart Agriculture Market By Offering
12.3.2.11.3 Netherlands Smart Agriculture Market By Farm Size
12.3.2.11.4 Netherlands Smart Agriculture Market By Application
12.3.2.12 Switzerland
12.3.2.12.1 Switzerland Smart Agriculture Market By Agriculture Type
12.3.2.12.2 Switzerland Smart Agriculture Market By Offering
12.3.2.12.3 Switzerland Smart Agriculture Market By Farm Size
12.3.2.12.4 Switzerland Smart Agriculture Market By Application
12.3.2.13 Austria
12.3.2.13.1 Austria Smart Agriculture Market By Agriculture Type
12.3.2.13.2 Austria Smart Agriculture Market By Offering
12.3.2.13.3 Austria Smart Agriculture Market By Farm Size
12.3.2.13.4 Austria Smart Agriculture Market By Application
12.3.2.14 Rest of Western Europe
12.3.2.14.1 Rest of Western Europe Smart Agriculture Market By Agriculture Type
12.3.2.14.2 Rest of Western Europe Smart Agriculture Market By Offering
12.3.2.14.3 Rest of Western Europe Smart Agriculture Market By Farm Size
12.3.2.14.4 Rest of Western Europe Smart Agriculture Market By Application
12.4 Asia-Pacific
12.4.1 Asia Pacific Smart Agriculture Market By Country
12.4.2 Asia Pacific Smart Agriculture Market By Agriculture Type
12.4.3 Asia Pacific Smart Agriculture Market By Offering
12.4.4 Asia Pacific Smart Agriculture Market By Farm Size
12.4.5 Asia Pacific Smart Agriculture Market By Application
12.4.6 China
12.4.6.1 China Smart Agriculture Market By Agriculture Type
12.4.6.2 China Smart Agriculture Market By Offering
12.4.6.3 China Smart Agriculture Market By Farm Size
12.4.6.4 China Smart Agriculture Market By Application
12.4.7 India
12.4.7.1 India Smart Agriculture Market By Agriculture Type
12.4.7.2 India Smart Agriculture Market By Offering
12.4.7.3 India Smart Agriculture Market By Farm Size
12.4.7.4 India Smart Agriculture Market By Application
12.4.8 Japan
12.4.8.1 Japan Smart Agriculture Market By Agriculture Type
12.4.8.2 Japan Smart Agriculture Market By Offering
12.4.8.3 Japan Smart Agriculture Market By Farm Size
12.4.8.4 Japan Smart Agriculture Market By Application
12.4.9 South Korea
12.4.9.1 South Korea Smart Agriculture Market By Agriculture Type
12.4.9.2 South Korea Smart Agriculture Market By Offering
12.4.9.3 South Korea Smart Agriculture Market By Farm Size
12.4.9.4 South Korea Smart Agriculture Market By Application
12.4.10 Vietnam
12.4.10.1 Vietnam Smart Agriculture Market By Agriculture Type
12.4.10.2 Vietnam Smart Agriculture Market By Offering
12.4.10.3 Vietnam Smart Agriculture Market By Farm Size
12.4.10.4 Vietnam Smart Agriculture Market By Application
12.4.11 Singapore
12.4.11.1 Singapore Smart Agriculture Market By Agriculture Type
12.4.11.2 Singapore Smart Agriculture Market By Offering
12.4.11.3 Singapore Smart Agriculture Market By Farm Size
12.4.11.4 Singapore Smart Agriculture Market By Application
12.4.12 Australia
12.4.12.1 Australia Smart Agriculture Market By Agriculture Type
12.4.12.2 Australia Smart Agriculture Market By Offering
12.4.12.3 Australia Smart Agriculture Market By Farm Size
12.4.12.4 Australia Smart Agriculture Market By Application
12.4.13 Rest of Asia-Pacific
12.4.13.1 Rest of Asia-Pacific Smart Agriculture Market By Agriculture Type
12.4.13.2 Rest of Asia-Pacific Smart Agriculture Market By Offering
12.4.13.3 Rest of Asia-Pacific Smart Agriculture Market By Farm Size
12.4.13.4 Rest of Asia-Pacific Smart Agriculture Market By Application
12.5 Middle East & Africa
12.5.1 Middle East
12.5.1.1 Middle East Smart Agriculture Market By Country
12.5.1.2 Middle East Smart Agriculture Market By Agriculture Type
12.5.1.3 Middle East Smart Agriculture Market By Offering
12.5.1.4 Middle East Smart Agriculture Market By Farm Size
12.5.1.5 Middle East Smart Agriculture Market By Application
12.5.1.6 UAE
12.5.1.6.1 UAE Smart Agriculture Market By Agriculture Type
12.5.1.6.2 UAE Smart Agriculture Market By Offering
12.5.1.6.3 UAE Smart Agriculture Market By Farm Size
12.5.1.6.4 UAE Smart Agriculture Market By Application
12.5.1.7 Egypt
12.5.1.7.1 Egypt Smart Agriculture Market By Agriculture Type
12.5.1.7.2 Egypt Smart Agriculture Market By Offering
12.5.1.7.3 Egypt Smart Agriculture Market By Farm Size
12.5.1.7.4 Egypt Smart Agriculture Market By Application
12.5.1.8 Saudi Arabia
12.5.1.8.1 Saudi Arabia Smart Agriculture Market By Agriculture Type
12.5.1.8.2 Saudi Arabia Smart Agriculture Market By Offering
12.5.1.8.3 Saudi Arabia Smart Agriculture Market By Farm Size
12.5.1.8.4 Saudi Arabia Smart Agriculture Market By Application
12.5.1.9 Qatar
12.5.1.9.1 Qatar Smart Agriculture Market By Agriculture Type
12.5.1.9.2 Qatar Smart Agriculture Market By Offering
12.5.1.9.3 Qatar Smart Agriculture Market By Farm Size
12.5.1.9.4 Qatar Smart Agriculture Market By Application
12.5.1.10 Rest of Middle East
12.5.1.10.1 Rest of Middle East Smart Agriculture Market By Agriculture Type
12.5.1.10.2 Rest of Middle East Smart Agriculture Market By Offering
12.5.1.10.3 Rest of Middle East Smart Agriculture Market By Farm Size
12.5.1.10.4 Rest of Middle East Smart Agriculture Market By Application
12.5.2. Africa
12.5.2.1 Africa Smart Agriculture Market By Country
12.5.2.2 Africa Smart Agriculture Market By Agriculture Type
12.5.2.3 Africa Smart Agriculture Market By Offering
12.5.2.4 Africa Smart Agriculture Market By Farm Size
12.5.2.5 Africa Smart Agriculture Market By Application
12.5.2.6 Nigeria
12.5.2.6.1 Nigeria Smart Agriculture Market By Agriculture Type
12.5.2.6.2 Nigeria Smart Agriculture Market By Offering
12.5.2.6.3 Nigeria Smart Agriculture Market By Farm Size
12.5.2.6.4 Nigeria Smart Agriculture Market By Application
12.5.2.7 South Africa
12.5.2.7.1 South Africa Smart Agriculture Market By Agriculture Type
12.5.2.7.2 South Africa Smart Agriculture Market By Offering
12.5.2.7.3 South Africa Smart Agriculture Market By Farm Size
12.5.2.7.4 South Africa Smart Agriculture Market By Application
12.5.2.8 Rest of Africa
12.5.2.8.1 Rest of Africa Smart Agriculture Market By Agriculture Type
12.5.2.8.2 Rest of Africa Smart Agriculture Market By Offering
12.5.2.8.3 Rest of Africa Smart Agriculture Market By Farm Size
12.5.2.8.4 Rest of Africa Smart Agriculture Market By Application
12.6. Latin America
12.6.1 Latin America Smart Agriculture Market By Country
12.6.2 Latin America Smart Agriculture Market By Agriculture Type
12.6.3 Latin America Smart Agriculture Market By Offering
12.6.4 Latin America Smart Agriculture Market By Farm Size
12.6.5 Latin America Smart Agriculture Market By Application
12.6.6 Brazil
12.6.6.1 Brazil Smart Agriculture Market By Agriculture Type
12.6.6.2 Brazil Smart Agriculture Market By Offering
12.6.6.3 Brazil Smart Agriculture Market By Farm Size
12.6.6.4 Brazil Smart Agriculture Market By Application
12.6.7 Argentina
12.6.7.1 Argentina Smart Agriculture Market By Agriculture Type
12.6.7.2 Argentina Smart Agriculture Market By Offering
12.6.7.3 Argentina Smart Agriculture Market By Farm Size
12.6.7.4 Argentina Smart Agriculture Market By Application
12.6.8 Colombia
12.6.8.1 Colombia Smart Agriculture Market By Agriculture Type
12.6.8.2 Colombia Smart Agriculture Market By Offering
12.6.8.3 Colombia Smart Agriculture Market By Farm Size
12.6.8.4 Colombia Smart Agriculture Market By Application
12.6.9 Rest of Latin America
12.6.9.1 Rest of Latin America Smart Agriculture Market By Agriculture Type
12.6.9.2 Rest of Latin America Smart Agriculture Market By Offering
12.6.9.3 Rest of Latin America Smart Agriculture Market By Farm Size
12.6.9.4 Rest of Latin America Smart Agriculture Market By Application
13 Company Profile
13.1 Grownetics, Inc.
13.1.1 Market Overview
13.1.2 Financials
13.1.3 Treatment/Services/Offerings
13.1.4 SWOT Analysis
13.1.5 The SNS View
13.2 Deere & Company
13.2.1 Market Overview
13.2.2 Financials
13.2.3 Treatment/Services/Offerings
13.2.4 SWOT Analysis
13.2.5 The SNS View
13.3 CropMetrics LLC
13.3.1 Market Overview
13.3.2 Financials
13.3.3 Treatment/Services/Offerings
13.3.4 SWOT Analysis
13.3.5 The SNS View
13.4 Argus Control Systems Ltd
13.4 Market Overview
13.4.2 Financials
13.4.3 Treatment/Services/Offerings
13.4.4 SWOT Analysis
13.4.5 The SNS View
13.5 AGCO Corporation
13.5.1 Market Overview
13.5.2 Financials
13.5.3 Treatment/Services/Offerings
13.5.4 SWOT Analysis
13.5.5 The SNS View
13.6 Ag Leader Technology
13.6.1 Market Overview
13.6.2 Financials
13.6.3 Treatment/Services/Offerings
13.6.4 SWOT Analysis
13.6.5 The SNS View
13.7 AgJunction, Inc.
13.7.1 Market Overview
13.7.2 Financials
13.7.3 Treatment/Services/Offerings
13.7.4 SWOT Analysis
13.7.5 The SNS View
13.8 CropZilla, Inc.
13.8.1 Market Overview
13.8.2 Financials
13.8.3 Treatment/Services/Offerings
13.8.4 SWOT Analysis
13.8.5 The SNS View
13.9 Autonomous Solutions, Inc.
13.9.1 Market Overview
13.9.2 Financials
13.9.3 Product/Technology/Offerings
13.9.4 SWOT Analysis
13.9.5 The SNS View
13.10 BouMatic Robotic B.V.
13.10.1 Market Overview
13.10.2 Financials
13.10.3 Product/Technology/Offerings
13.10.4 SWOT Analysis
13.10.5 The SNS View
14. Competitive Landscape
14.1 Competitive Benchmarking
14.2 Market Share Analysis
14.3 Recent Developments
15. USE Cases and Best Practices
16. Conclusion
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
The Fiber Optic Components Market Size was valued at USD 24.70 billion in 2022 and is expected to reach USD 49.57 billion by 2030, growing at a CAGR of 9.1% over the forecast period 2023-2030.
The Interactive Kiosk Market Size was valued at USD 30.4 billion in 2023 and is expected to reach USD 58.92 billion by 2031 and grow at a CAGR of 8.7% over the forecast period 2024-2031.
The Industrial Thermopile Sensors Market size was Valued at USD 1.38 billion in 2023 and is expected to Reach USD 2.29 billion by 2031 and grow at a CAGR of 6.5% over the forecast period of 2024-2031.
The Wireless Audio Device Market size was valued at USD 48.2 billion in 2022 and is expected to grow to USD 168.09 billion by 2030 and grow at a CAGR of 16.9 % over the forecast period of 2023-2030.
The Power Over Ethernet Devices Market Size was valued at USD 0.96 billion in 2023 and is expected to reach USD 2.50 billion by 2031 and grow at a CAGR of 12.6% over the forecast period 2024-2031.
The Service Robotics Market Size was valued at USD 19.34 billion in 2023, and is expected to reach USD 74.19 billion by 2031 and grow at a CAGR of 18.3% over the forecast period 2024-2031.
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