The anticipated size of the global smart agriculture solution market in 2022 was US$ 13.75 billion and is estimated to be US$ 14.48 billion in 2023. Rise in demand for global smart agriculture solutions for the cultivators to realize the probable perks of growing plants inside the greenhouse, has led for the development of commercial greenhouses. Future Market Insights has mentioned in its reports that the smart agriculture solution market will expand at a CAGR of 6.9% between 2023 and 2033, totaling around US$ 28.31 billion by 2033.
Cultivators of the smart agriculture solution have shifted their purchasing pattern from the traditional lighting systems to LED lights as the LEDs can be readily combined into a controlled environment agriculture (CEA) setup. Considering that LED lights are costly, yet, they are considered to be an optimal option for indoor farming, in consideration of their durable benefits in terms of energy efficiency.
Important technologies that are driving the market demand are biometrics, GPS, etc so that the cultivators can undoubtedly obtain information regarding livestock within the absolute time. Infrastructural health sensors are in consideration for examining material conditions and vibrations in buildings, factories, bridges, etc that is twinned with an intelligent network, where infrastructural health sensors provide information for the maintenance of team within the actual-time. Agricultural robots are put into use nowadays as they help in automating farming processes, like maintenance of soil, weeding, fruit picking, harvesting, planting, and irrigation, etc
Farmers are progressively adopting smarter and more efferent agricultural technologies for delivering high-quality products to build a smarter agriculture market with sufficing quantities to sustain profits. New processes like mobile technicalities offers contemporary services and applications that are mainly used across the valuation of agriculture.
Applications like Machine-to-Machine (M2M) are introduced that are solely suited for the agricultural sector, empowering the farmers for monitoring facilities, that help in appraising the environmental impact on production, that is specifically managing livestock and crops, and keeping a record on tractors and other agricultural products.
| Attributes | Details |
|---|---|
| Projected Forecast Value (2022) | US$ 13.75 billion |
| Projected Forecast Value (2023) | US$ 14.48 billion |
| Projected Forecast Value (2033) | US$ 28.31 billion |
| Growth rate | 6.9% CAGR |
| Forecast period | 2023 to 2033 |
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Global smart agriculture solutions market grew at a CAGR of 4.8% between 2018 and 2022. Growth forecasts remain optimistic, with the market predicted to exhibit a CAGR of 6.9% between 2023 and 2033.
Implementation of advanced technologies such as artificial intelligence (AI), machine learning (ML), and internet of things (IoT) in modern agriculture products will propel scope for expansion. In response to this, sales of smart agriculture solutions are expected to surpass US$ 13.2 billion in 2021.
Advent of agriculture 5.0 technologies in countries such as India, China, Australia, and Japan and introduction of digital agriculture platforms to aid precision farming will create lucrative growth opportunities for smart agriculture solution providers.
As per FMI, the global market registered year-on-year growth of 6.8% between 2020 and 2021. Medium-sized specific agriculture solution suppliers are creating and presenting answers for precision farming with the help of imaging drones and technologies. Higher integration of smart technology in agriculture will create a conducive environment for the growth of the market.
Introduction of Artificial Intelligence (AI) Integration in Smart Agriculture Solution
Adoption of modern technologies such as drones, GPS, sensor technology, and others would ensure lucrative revenues for agriculture businesses. AI integration in smart farming techniques provided beneficial inputs to farmers regarding the quantity of irrigation water required and improvement in overall crop quality.
Development in sensor-based and map-based variable rate technologies resulted in higher adoption of smart farming solutions as farmers aimed at reducing dependence on chemicals to improve crop yield.
With adoption of AI in agriculture, sales of smart agriculture solutions are expected to increase. This, in turn, will create growth opportunities for smart agriculture solution providers.
Adoption of Precision Farming and its Impact on Smart Agriculture Systems Sales
With increasing demand for organic food products and growing urbanization, need for precision farming has surged. In order to reduce the wastage of natural resources and improve the crop quality, farmers are adopting precision farming applications across the globe.
Technologies such as artificial intelligence (AI), machine learning, and data analytics is integrated to detect the climate change and harvest period, in order to improve the production efficiency.
Adoption of precision farming, especially across India, China, Australia, and Japan is fueling the demand for smart agriculture solutions. With the use of sensor-based variable rate technology, farmers can optimize and manage the farm digitally and improve the crop production.
With rising adoption of drones and AI-based farming technologies, advent of precision farming is expected to boost the market. Also, farmers are adopting technologies such as smart greenhouse to reduce the carbon footprints.
Smart greenhouses use technologies such as actuators, sensors, and climate-monitoring systems to optimize growth conditions. Governments across the globe are also favoring the adoption of smart greenhouses as it offers several health benefits by reducing the infestation and preventing the disease outbreaks.
Adoption of these technologies will fuel the growth in smart agriculture solution market.
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Growth in Government Initiatives and Regulations will Tend to Boost the Demand
North America is considered to be one of the most lucrative markets for smart agriculture solutions with a market share of 27.7% whereas the United States is estimated to account for 16.9% of the market share.
Growth in government initiatives and regulations has occurred due to the enhancement that is brought in the agriculture industry is estimated to boost the market demand for smart agriculture solutions in the United States during the forecast period. Increase in concern for water conservation has brought the governments of the United States to ardently provide subsidies that will subsequently lead to the enhancement of the applications needed for smart irrigation.
Introduction of Research and Development has Resulted to an Increase in Demand
Rising demand for Research and Development in Germany will act as a major growth driver. Reports say that, the Germany’s smart agriculture solutions market is anticipated to share a market value of 10.6%
Europe is estimated to be the dominant market for small agriculture solutions market with a market share of 21.8% in which Germany is projected to hold the largest share. Rising demand and productivity of the facilities led by Research and Development have led to an expansion in the market thus minimizing the farm numbers, growth in animal herd sizes, etc leading to increase in sales in Germany.
Increase in Demand for Smart Agriculture Tools will Increase the Revenue
Rising demand for smart agriculture tools required in smart agriculture leads to an increase in demand for smart agriculture solutions market in United Kingdom where according to the reports United Kingdom is said to hold a market share of 6.1% during the forecast period.
Precision Farming India is Leading to a Growth in Overall Sales of the Country
India is considered to hold one of the lucrative position as leading exporters in agricultural products worldwide with a hefty growth in the market sector of CAGR 6.5%
With over 58% of population’s livelihood dependent on agriculture, India ranks 5th in terms of agriculture production, consumption, and exporter, as per India Brand Equity Foundation.
As per Future Market Insights, India is identified as the key exporter and producer in smart agriculture solution market.
Robust expansion of agriculture sector and increasing demand for automation in precision farming are expected to create lucrative growth opportunities for smart agriculture solution providers in India.
India already is identified as global agriculture powerhouse. Thanks to globalization, adoption of precision farming and penetration of GPS and smartphones is expected to reshape the face of agriculture sector in India. Favourable government policies and advent of IT-tech start-up companies are expected to aid the growth in the market.
Farmers are increasing the adoption of aerial drones and sensor monitoring system to improve their crop productivity and reduce the crop damage and pest attack. These advancements are majorly witnessed in states such as Telengana, Maharashtra, and Madhya Pradesh.
Government in India is also adopting and providing climate information service and supply chain management services to alert the farmers regarding the harvesting and price forecasts in advance. Such advancements in agriculture sector is expected to boost the smart agriculture solution market in India.
Introduction of New Innovations in Smart Agriculture Solution Market is Driving the Sales
China is assumed to be the most attractive market in Asia Pacific during the forecast period. As per FMI, APEJ smart agriculture solution market is likely to register highest growth at over 7.3% CAGR during the forecasted period.
Being one of the most populated countries, crop production in China is extra-ordinary. Advent of smallholder farmers and local smart agriculture solution providers has spurred the expansion of agriculture sector in China.
According to the Government in China, adoption of smart and modern technology to increase the crop production and improve the yield quality is expected to burgeon. Technological methods such as smart drones with GPS and sensor based technology are being adopted to liberate man power and enhance production efficiency.
Further, presence of leading players such as Pinduoduo, XAG Agriculture company, and other are favoring the growth in the market. Favorable policies and investment by leading agricultural high-tech companies are accelerating the sales in smart agriculture solution market.
Adoptive Measures taken are Rising the Demand in Automation of Agricultural Sector
As per FMI, Australia is among the top 4 exporters of smart agriculture solutions across the globe. Growth in the country is driven by increasing adoption of automation in agriculture sector in Australia with a market share of 3.8%
Increasing crop production and technological advancements in the agriculture sector are improving the growth in the Australia smart agriculture solution market.
Advent of precision farming in the country and availability of natural resources are flourishing agriculture industry, accelerating sales of smart agriculture solutions. On the back such technological advancements, Australia is expected to emerge as one of the most lucrative smart agriculture solution market.
Increase in Technological Advancements is Raising the Overall Market Share
Japan is one of the developed countries that is considered to introduce smart agricultural solutions by introducing drones and robotics, and by adopting various way of cutting-edge digital technologies. Japan is considered to hold a market share of 5.3%.
Science, technology, and innovation are considered to play majorly by raising the crucial role in sustainable and rapid developments in agriculture all across the globe. Information and communication technology-based smart agricultural solutions have provided a roadmap for countries to uplift their digital agriculture
Presence Sensing Safety Sensors Segment Holds the Maximum Share in the Market
Presence Sensing Safety Sensors Segment is considered to hold a major share in the market with a market value of 52.3%
Demand of this segment is high as it helps in protecting the workers and production units from arousal of any accidents occurring in the smart agricultural solutions market.
Automated Machinery Guidance Control is Considerably Boost the Smart Agriculture Solutions Market
Automated Machinery Guidance Control is said to hold a market share of 28.1%.
Demand for automated machinery guidance control has boosted as this sector is mainly influenced by the need of expeditious production and the improvement of quality of crop content in smart agriculture.
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Some of the prominent players in the global market are:
Some of the important developments of the key players in the market are:
| Report Attribute | Details |
|---|---|
| Growth Rate | CAGR of 6.9% from 2023 to 2033 |
| Market value in 2023 | US$ 14.48 billion |
| Market value in 2033 | US$ 28.31 billion |
| Base Year for Estimation | 2022 |
| Historical Data | 2018 to 2022 |
| Forecast Period | 2023 to 2033 |
| Quantitative Units | US$ billion for Value and CAGR from 2023 to 2033 |
| Report Coverage | Revenue Forecast, Company Ranking, Competitive Landscape, Growth Factors, Trends, and Pricing Analysis |
| Segments Covered |
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| Regions Covered |
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| Key Countries Profiled |
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| Key Companies Profiled |
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| Customisation Scope | Available on Request |
The market is valued at US$ 14.48 billion by the end of 2023.
Dirt Road Data Inc., Iteris Inc. and CropMetrics LLC are the leading players.
The presence sensing safety sensors segment is expected to lead the market.
From 2018 to 2022, the smart agriculture solution market registered a 4.8% CAGR.
China’s smart agriculture solution to surge at a CAGR of 7.3% CAGR until 2033.
1. Executive Summary 1.1. Global Market Outlook 1.2. Demand-side Trends 1.3. Supply-side Trends 1.4. Technology Roadmap Analysis 1.5. Analysis and Recommendations 2. Market Overview 2.1. Market Coverage / Taxonomy 2.2. Market Definition / Scope / Limitations 3. Market Background 3.1. Market Dynamics 3.1.1. Drivers 3.1.2. Restraints 3.1.3. Opportunity 3.1.4. Trends 3.2. Scenario Forecast 3.2.1. Demand in Optimistic Scenario 3.2.2. Demand in Likely Scenario 3.2.3. Demand in Conservative Scenario 3.3. Opportunity Map Analysis 3.4. Investment Feasibility Matrix 3.5. PESTLE and Porter’s Analysis 3.6. Regulatory Landscape 3.6.1. By Key Regions 3.6.2. By Key Countries 3.7. Regional Parent Market Outlook 4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033 4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022 4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033 4.2.1. Y-o-Y Growth Trend Analysis 4.2.2. Absolute $ Opportunity Analysis 5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Component Type 5.1. Introduction / Key Findings 5.2. Historical Market Size Value (US$ Million) Analysis By Component Type, 2018 to 2022 5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Component Type, 2023 to 2033 5.3.1. Hardware 5.3.1.1. Sensor Monitoring System 5.3.1.2. Smart Detection System 5.3.1.3. GPS Enabled Ranging System 5.3.1.4. Drones 5.3.2. Software 5.3.3. Services 5.3.3.1. Climate Information Service 5.3.3.2. Supply Chain Management Service 5.3.3.3. Others 5.4. Y-o-Y Growth Trend Analysis By Component Type, 2018 to 2022 5.5. Absolute $ Opportunity Analysis By Component Type, 2023 to 2033 6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Application 6.1. Introduction / Key Findings 6.2. Historical Market Size Value (US$ Million) Analysis By Application, 2018 to 2022 6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Application, 2023 to 2033 6.3.1. Automated Machinery Guidance Control 6.3.2. Tractor Collision and Obstacle Detection 6.3.3. Machinery Safety and Parameter Monitoring 6.3.4. Variable Rate Technology 6.3.5. Building and Premises Surveillance 6.4. Y-o-Y Growth Trend Analysis By Application, 2018 to 2022 6.5. Absolute $ Opportunity Analysis By Application, 2023 to 2033 7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region 7.1. Introduction 7.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022 7.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033 7.3.1. North America 7.3.2. Latin America 7.3.3. Europe 7.3.4. South Asia 7.3.5. East Asia 7.3.6. Oceania 7.3.7. MEA 7.4. Market Attractiveness Analysis By Region 8. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 8.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 8.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 8.2.1. By Country 8.2.1.1. USA 8.2.1.2. Canada 8.2.2. By Component Type 8.2.3. By Application 8.3. Market Attractiveness Analysis 8.3.1. By Country 8.3.2. By Component Type 8.3.3. By Application 8.4. Key Takeaways 9. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 9.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 9.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 9.2.1. By Country 9.2.1.1. Brazil 9.2.1.2. Mexico 9.2.1.3. Rest of Latin America 9.2.2. By Component Type 9.2.3. By Application 9.3. Market Attractiveness Analysis 9.3.1. By Country 9.3.2. By Component Type 9.3.3. By Application 9.4. Key Takeaways 10. Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 10.2.1. By Country 10.2.1.1. Germany 10.2.1.2. UK 10.2.1.3. France 10.2.1.4. Spain 10.2.1.5. Italy 10.2.1.6. Rest of Europe 10.2.2. By Component Type 10.2.3. By Application 10.3. Market Attractiveness Analysis 10.3.1. By Country 10.3.2. By Component Type 10.3.3. By Application 10.4. Key Takeaways 11. South Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 11.2.1. By Country 11.2.1.1. India 11.2.1.2. Malaysia 11.2.1.3. Singapore 11.2.1.4. Thailand 11.2.1.5. Rest of South Asia 11.2.2. By Component Type 11.2.3. By Application 11.3. Market Attractiveness Analysis 11.3.1. By Country 11.3.2. By Component Type 11.3.3. By Application 11.4. Key Takeaways 12. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 12.2.1. By Country 12.2.1.1. China 12.2.1.2. Japan 12.2.1.3. South Korea 12.2.2. By Component Type 12.2.3. By Application 12.3. Market Attractiveness Analysis 12.3.1. By Country 12.3.2. By Component Type 12.3.3. By Application 12.4. Key Takeaways 13. Oceania Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 13.2.1. By Country 13.2.1.1. Australia 13.2.1.2. New Zealand 13.2.2. By Component Type 13.2.3. By Application 13.3. Market Attractiveness Analysis 13.3.1. By Country 13.3.2. By Component Type 13.3.3. By Application 13.4. Key Takeaways 14. MEA Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 14.2.1. By Country 14.2.1.1. GCC Countries 14.2.1.2. South Africa 14.2.1.3. Israel 14.2.1.4. Rest of MEA 14.2.2. By Component Type 14.2.3. By Application 14.3. Market Attractiveness Analysis 14.3.1. By Country 14.3.2. By Component Type 14.3.3. By Application 14.4. Key Takeaways 15. Key Countries Market Analysis 15.1. USA 15.1.1. Pricing Analysis 15.1.2. Market Share Analysis, 2022 15.1.2.1. By Component Type 15.1.2.2. By Application 15.2. Canada 15.2.1. Pricing Analysis 15.2.2. Market Share Analysis, 2022 15.2.2.1. By Component Type 15.2.2.2. By Application 15.3. Brazil 15.3.1. Pricing Analysis 15.3.2. Market Share Analysis, 2022 15.3.2.1. By Component Type 15.3.2.2. By Application 15.4. Mexico 15.4.1. Pricing Analysis 15.4.2. Market Share Analysis, 2022 15.4.2.1. By Component Type 15.4.2.2. By Application 15.5. Germany 15.5.1. Pricing Analysis 15.5.2. Market Share Analysis, 2022 15.5.2.1. By Component Type 15.5.2.2. By Application 15.6. UK 15.6.1. Pricing Analysis 15.6.2. Market Share Analysis, 2022 15.6.2.1. By Component Type 15.6.2.2. By Application 15.7. France 15.7.1. Pricing Analysis 15.7.2. Market Share Analysis, 2022 15.7.2.1. By Component Type 15.7.2.2. By Application 15.8. Spain 15.8.1. Pricing Analysis 15.8.2. Market Share Analysis, 2022 15.8.2.1. By Component Type 15.8.2.2. By Application 15.9. Italy 15.9.1. Pricing Analysis 15.9.2. Market Share Analysis, 2022 15.9.2.1. By Component Type 15.9.2.2. By Application 15.10. India 15.10.1. Pricing Analysis 15.10.2. Market Share Analysis, 2022 15.10.2.1. By Component Type 15.10.2.2. By Application 15.11. Malaysia 15.11.1. Pricing Analysis 15.11.2. Market Share Analysis, 2022 15.11.2.1. By Component Type 15.11.2.2. By Application 15.12. Singapore 15.12.1. Pricing Analysis 15.12.2. Market Share Analysis, 2022 15.12.2.1. By Component Type 15.12.2.2. By Application 15.13. Thailand 15.13.1. Pricing Analysis 15.13.2. Market Share Analysis, 2022 15.13.2.1. By Component Type 15.13.2.2. By Application 15.14. China 15.14.1. Pricing Analysis 15.14.2. Market Share Analysis, 2022 15.14.2.1. By Component Type 15.14.2.2. By Application 15.15. Japan 15.15.1. Pricing Analysis 15.15.2. Market Share Analysis, 2022 15.15.2.1. By Component Type 15.15.2.2. By Application 15.16. South Korea 15.16.1. Pricing Analysis 15.16.2. Market Share Analysis, 2022 15.16.2.1. By Component Type 15.16.2.2. By Application 15.17. Australia 15.17.1. Pricing Analysis 15.17.2. Market Share Analysis, 2022 15.17.2.1. By Component Type 15.17.2.2. By Application 15.18. New Zealand 15.18.1. Pricing Analysis 15.18.2. Market Share Analysis, 2022 15.18.2.1. By Component Type 15.18.2.2. By Application 15.19. GCC Countries 15.19.1. Pricing Analysis 15.19.2. Market Share Analysis, 2022 15.19.2.1. By Component Type 15.19.2.2. By Application 15.20. South Africa 15.20.1. Pricing Analysis 15.20.2. Market Share Analysis, 2022 15.20.2.1. By Component Type 15.20.2.2. By Application 15.21. Israel 15.21.1. Pricing Analysis 15.21.2. Market Share Analysis, 2022 15.21.2.1. By Component Type 15.21.2.2. By Application 16. Market Structure Analysis 16.1. Competition Dashboard 16.2. Competition Benchmarking 16.3. Market Share Analysis of Top Players 16.3.1. By Regional 16.3.2. By Component Type 16.3.3. By Application 17. Competition Analysis 17.1. Competition Deep Dive 17.1.1. Dirt Road Data Inc. 17.1.1.1. Overview 17.1.1.2. Product Portfolio 17.1.1.3. Profitability by Market Segments 17.1.1.4. Sales Footprint 17.1.1.5. Strategy Overview 17.1.1.5.1. Marketing Strategy 17.1.2. Iteris Inc. 17.1.2.1. Overview 17.1.2.2. Product Portfolio 17.1.2.3. Profitability by Market Segments 17.1.2.4. Sales Footprint 17.1.2.5. Strategy Overview 17.1.2.5.1. Marketing Strategy 17.1.3. CropMetrics LLC 17.1.3.1. Overview 17.1.3.2. Product Portfolio 17.1.3.3. Profitability by Market Segments 17.1.3.4. Sales Footprint 17.1.3.5. Strategy Overview 17.1.3.5.1. Marketing Strategy 17.1.4. Agribotix LLC 17.1.4.1. Overview 17.1.4.2. Product Portfolio 17.1.4.3. Profitability by Market Segments 17.1.4.4. Sales Footprint 17.1.4.5. Strategy Overview 17.1.4.5.1. Marketing Strategy 17.1.5. AgriSight Inc. 17.1.5.1. Overview 17.1.5.2. Product Portfolio 17.1.5.3. Profitability by Market Segments 17.1.5.4. Sales Footprint 17.1.5.5. Strategy Overview 17.1.5.5.1. Marketing Strategy 17.1.6. SemiosBio Technologies Inc. 17.1.6.1. Overview 17.1.6.2. Product Portfolio 17.1.6.3. Profitability by Market Segments 17.1.6.4. Sales Footprint 17.1.6.5. Strategy Overview 17.1.6.5.1. Marketing Strategy 17.1.7. Granular Inc. 17.1.7.1. Overview 17.1.7.2. Product Portfolio 17.1.7.3. Profitability by Market Segments 17.1.7.4. Sales Footprint 17.1.7.5. Strategy Overview 17.1.7.5.1. Marketing Strategy 17.1.8. Trimble Navigation Ltd. 17.1.8.1. Overview 17.1.8.2. Product Portfolio 17.1.8.3. Profitability by Market Segments 17.1.8.4. Sales Footprint 17.1.8.5. Strategy Overview 17.1.8.5.1. Marketing Strategy 17.1.9. Site-Specific Technology Development Group Inc. 17.1.9.1. Overview 17.1.9.2. Product Portfolio 17.1.9.3. Profitability by Market Segments 17.1.9.4. Sales Footprint 17.1.9.5. Strategy Overview 17.1.9.5.1. Marketing Strategy 17.1.10. AgJunction LLC 17.1.10.1. Overview 17.1.10.2. Product Portfolio 17.1.10.3. Profitability by Market Segments 17.1.10.4. Sales Footprint 17.1.10.5. Strategy Overview 17.1.10.5.1. Marketing Strategy 17.1.11. John Deere 17.1.11.1. Overview 17.1.11.2. Product Portfolio 17.1.11.3. Profitability by Market Segments 17.1.11.4. Sales Footprint 17.1.11.5. Strategy Overview 17.1.11.5.1. Marketing Strategy 17.1.12. Trimble 17.1.12.1. Overview 17.1.12.2. Product Portfolio 17.1.12.3. Profitability by Market Segments 17.1.12.4. Sales Footprint 17.1.12.5. Strategy Overview 17.1.12.5.1. Marketing Strategy 17.1.13. TopCon Positioning Systems 17.1.13.1. Overview 17.1.13.2. Product Portfolio 17.1.13.3. Profitability by Market Segments 17.1.13.4. Sales Footprint 17.1.13.5. Strategy Overview 17.1.13.5.1. Marketing Strategy 17.1.14. DeLaval 17.1.14.1. Overview 17.1.14.2. Product Portfolio 17.1.14.3. Profitability by Market Segments 17.1.14.4. Sales Footprint 17.1.14.5. Strategy Overview 17.1.14.5.1. Marketing Strategy 17.1.15. AKVA 17.1.15.1. Overview 17.1.15.2. Product Portfolio 17.1.15.3. Profitability by Market Segments 17.1.15.4. Sales Footprint 17.1.15.5. Strategy Overview 17.1.15.5.1. Marketing Strategy 17.1.16. Antelliq 17.1.16.1. Overview 17.1.16.2. Product Portfolio 17.1.16.3. Profitability by Market Segments 17.1.16.4. Sales Footprint 17.1.16.5. Strategy Overview 17.1.16.5.1. Marketing Strategy 17.1.17. Afimilk 17.1.17.1. Overview 17.1.17.2. Product Portfolio 17.1.17.3. Profitability by Market Segments 17.1.17.4. Sales Footprint 17.1.17.5. Strategy Overview 17.1.17.5.1. Marketing Strategy 17.1.18. InnovaSea Systems 17.1.18.1. Overview 17.1.18.2. Product Portfolio 17.1.18.3. Profitability by Market Segments 17.1.18.4. Sales Footprint 17.1.18.5. Strategy Overview 17.1.18.5.1. Marketing Strategy 17.1.19. Heliospectra 17.1.19.1. Overview 17.1.19.2. Product Portfolio 17.1.19.3. Profitability by Market Segments 17.1.19.4. Sales Footprint 17.1.19.5. Strategy Overview 17.1.19.5.1. Marketing Strategy 17.1.20. LumiGrow 17.1.20.1. Overview 17.1.20.2. Product Portfolio 17.1.20.3. Profitability by Market Segments 17.1.20.4. Sales Footprint 17.1.20.5. Strategy Overview 17.1.20.5.1. Marketing Strategy 18. Assumptions & Acronyms Used 19. Research Methodology
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Smart Agriculture Solution Market
