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Smart Agriculture Market Size, Share & Trends Analysis Report by Type (Precision Farming, Livestock Monitoring, Smart Greenhouse, Others), by Application, by Region, and Segment Forecasts, 2022-2030

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    Report

  • 150 Pages
  • April 2022
  • Region: Global
  • Grand View Research
  • ID: 4429693
The global smart agriculture market size is anticipated to reach USD 35.98 billion by 2030, expanding at a CAGR of 10.8% during the forecast period. Factors such as consistent growth in population, low availability of cultivable land, government incentives, and demand for fresh and high-quality food are expected to drive the smart greenhouse market. According to the World Health Organization (WHO) and Population Council, 80% of the global population resides in urban cities. The prevailing scarcity of land in urban cities has urged growers to adopt new solutions for developing fresh produces. For instance, the vertical farming technique enables consumers to grow crops indoors in layers, in a multi-story building, stacked on racks, or in a warehouse.



The growing population is expected to result in increased food demand by 2050. Farmers are likely to witness immense pressure in increasing crop production, either by making more land available to grow crops or by adopting newer techniques, such as smart agriculture and vertical farming. Traditional farming techniques witness several barriers, such as climate change and high labor costs. These disadvantages can be overcome with the use of technologies such as LED indoor farming, which creates a nature-like condition to help farmers meet the swelling food demand. Additionally, the changing preference of consumers toward healthier and fresh foods is expected to drive market growth during the forecast period.

Agri M2M offers significant opportunities to mobile operators owing to its potential to generate additional revenue through value-added services. For instance, bundling M2M services with a voice or data offering for rural enterprise customers is likely to enhance the application of M2M. Agri VAS has been developed to overcome the information gap faced by farmers in emerging markets, such as China and India. Additionally, it also helps in connecting the cultivators with other key players in the agriculture supply chain. Agriculture Value Added Services (VAS) have increased over the past few years owing to their rising awareness among VAS providers, mobile operators, and farmers. A few types of M2M connectivity include cellular M2M, satellite & fixed network, power line, and short-range connections such as Wi-Fi, Ethernet, and ZigBee.

Smart Agriculture Market Report Highlights

  • The software segment is expected to portray the highest growth rate, registering a CAGR of 13.5% during the forecast period.
  • The LED grow light segment is anticipated to witness a considerable growth rate during the forecast period.
  • The yield monitoring segment held a market share of 44.09% in 2021. This can be attributed to the growing need to provide timely water and minerals and monitor crop growth.
  • North America led the global smart agriculture market with a share of 45.09% in 2021. Growing government initiatives and regulations to enhance agriculture in the region are expected to drive regional demand in North America throughout the forecast period.


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Table of Contents

Chapter 1. Methodology and Scope
1.1. Market Segmentation & Scope
1.2. Market Definition
1.3. Information Procurement
1.3.1. Purchased database
1.3.2. internal database
1.3.3. Secondary sources & third-party perspectives
1.3.4. Primary research
1.4. Information Analysis
1.4.1. Data analysis models
1.5. Market Formulation & Data Visualization
1.6. Data Validation & Publishing
Chapter 2. Executive Summary
2.1. Market Outlook
2.2. Segmental Outlook
Chapter 3. Market Variables, Trends, & Scope Outlook
3.1. Market Lineage Outlook
3.1.1. Vertical Farming Market
3.2. Penetration & Growth Prospect Mapping
3.3. Industry Value Chain Analysis
3.4. Market Dynamics
3.4.1. Market driver analysis
3.4.2. Market restraint analysis
3.4.3. Market opportunity analysis
3.5. Smart Agriculture Market Analysis
3.5.1. Industry analysis - porter’s five forces
3.5.1.1. Supplier power
3.5.1.2. Buyer power
3.5.1.3. Substitution threat
3.5.1.4. Threat from new entrant
3.5.1.5. Competitive rivalry
3.5.2. PEST analysis
3.5.2.1. Political landscape
3.5.2.2. Economic landscape
3.5.2.3. Social landscape
3.5.2.4. Technology landscape
3.5.3. Major Deals & Strategic Alliances Analysis
3.5.3.1. New Product Innovation
3.5.3.2. Mergers & acquisitions
3.5.3.3. Collaborations & partnerships
3.5.3.4. Expansion
3.5.4. Impact of COVID-19 on Smart Agriculture Market
Chapter 4. Smart Agriculture Component Outlook
4.1. Smart Agriculture Market, by Agriculture Type, 2021 & 2030
4.2. Precision farming
4.2.1. Market estimates and forecasts, 2017-2030 (USD Million)
4.2.2. Market estimates and forecasts, by region, 2017-2030 (USD Million)
4.3. Livestock monitoring
4.3.1. Market estimates and forecasts, 2017-2030 (USD Million)
4.3.2. Market estimates and forecasts, by region, 2017-2030 (USD Million)
4.4. Smart greenhouse
4.4.1. Market estimates and forecasts, 2017-2030 (USD Million)
4.4.2. Market estimates and forecasts, by region, 2017-2030 (USD Million)
4.5. Others
4.5.1. Market estimates and forecasts, 2017-2030 (USD Million)
4.5.2. Market estimates and forecasts, by region, 2017-2030 (USD Million)
Chapter 5. Smart Agriculture Offering Outlook
5.1. Smart Agriculture Market, by Offering, 2021 & 2030
5.2. Hardware
5.2.1. Market estimates and forecasts, 2017-2030 (USD Million)
5.2.2. Market estimates and forecasts, by region, 2017-2030 (USD Million)
5.3. Software
5.3.1. Market estimates and forecasts, 2017-2030 (USD Million)
5.3.2. Market estimates and forecasts, by region, 2017-2030 (USD Million)
5.4. Service
5.4.1. Market estimates and forecasts, 2017-2030 (USD Million)
5.4.2. Market estimates and forecasts, by region, 2017-2030 (USD Million)
Chapter 6. Smart Agriculture Network Application Outlook
6.1. Smart Agriculture Market, by Application, 2021 & 2030
6.2. Livestock monitoring.
6.2.1. Market estimates and forecasts, 2017-2030 (USD Million)
6.2.2. Market estimates and forecasts, by region, 2017-2030 (USD Million)
6.2.3. Milk harvesting
6.2.4. Breeding management
6.2.5. Feeding management
6.2.6. Animal comfort management
6.2.7. Others
6.3. Smart greenhouse application
6.3.1. Market estimates and forecasts, 2017-2030 (USD Million)
6.3.2. Market estimates and forecasts, by region, 2017-2030 (USD Million)
6.3.3. Water & fertilizer management
6.3.4. HVAC management
6.3.5. Yield monitoring
6.3.6. Others
6.4. Precision farming application
6.4.1. Market estimates and forecasts, 2017-2030 (USD Million)
6.4.2. Market estimates and forecasts, by region, 2017-2030 (USD Million)
6.4.3. Yield monitoring
6.4.3.1. On-Farm
6.4.3.2. Off-Farm
6.4.4. Field mapping
6.4.5. Crop scouting
6.4.6. Weather tracking & forecasting
6.4.7. Irrigation management
6.4.8. Inventory management
6.4.9. Farm labor management
6.5. Others
6.5.1. Market estimates and forecasts, 2017-2030 (USD Million)
6.5.2. Market estimates and forecasts, by region, 2017-2030 (USD Million)
Chapter 7. Smart Agriculture Regional Outlook
7.1. Smart Agriculture Market, by Region, 2021 & 2030
7.2. North America
7.2.1. Market estimates and forecasts, 2017-2030
7.2.2. Market estimates and forecasts, by agriculture type, 2017-2030 (USD Million)
7.2.3. Market estimates and forecasts, by offering, 2017-2030 (USD Million)
7.2.4. Market estimates and forecasts, by application, 2017-2030 (USD Million)
7.2.5. U.S.
7.2.5.1. Market estimates and forecasts, 2017-2030
7.2.5.2. Market estimates and forecasts, by agriculture type, 2017-2030 (USD Million)
7.2.5.3. Market estimates and forecasts, by offering, 2017-2030 (USD Million)
7.2.5.4. Market estimates and forecasts, by application, 2017-2030 (USD Million)
7.2.6. Canada
7.2.6.1. Market estimates and forecasts, 2017-2030
7.2.6.2. Market estimates and forecasts, by agriculture type, 2017-2030 (USD Million)
7.2.6.3. Market estimates and forecasts, by offering, 2017-2030 (USD Million)
7.2.6.4. Market estimates and forecasts, by application, 2017-2030 (USD Million)
7.2.7. Mexico
7.2.7.1. Market estimates and forecasts, 2017-2030
7.2.7.2. Market estimates and forecasts, by agriculture type, 2017-2030 (USD Million)
7.2.7.3. Market estimates and forecasts, by offering, 2017-2030 (USD Million)
7.2.7.4. Market estimates and forecasts, by application, 2017-2030 (USD Million)
7.3. Europe
7.3.1. Market estimates and forecasts, 2017-2030
7.3.2. Market estimates and forecasts, by agriculture type, 2017-2030 (USD Million)
7.3.3. Market estimates and forecasts, by offering, 2017-2030 (USD Million)
7.3.4. Market estimates and forecasts, by application, 2017-2030 (USD Million)
7.3.5. U.K.
7.3.5.1. Market estimates and forecasts, 2017-2030
7.3.5.2. Market estimates and forecasts, by agriculture type, 2017-2030 (USD Million)
7.3.5.3. Market estimates and forecasts, by offering, 2017-2030 (USD Million)
7.3.5.4. Market estimates and forecasts, by application, 2017-2030 (USD Million)
7.3.6. Germany
7.3.6.1. Market estimates and forecasts, 2017-2030
7.3.6.2. Market estimates and forecasts, by agriculture type, 2017-2030 (USD Million)
7.3.6.3. Market estimates and forecasts, by offering, 2017-2030 (USD Million)
7.3.6.4. Market estimates and forecasts, by application, 2017-2030 (USD Million)
7.3.7. France
7.3.7.1. Market estimates and forecasts, 2017-2030
7.3.7.2. Market estimates and forecasts, by agriculture type, 2017-2030 (USD Million)
7.3.7.3. Market estimates and forecasts, by offering, 2017-2030 (USD Million)
7.3.7.4. Market estimates and forecasts, by application, 2017-2030 (USD Million)
7.3.8. Netherlands
7.3.8.1. Market estimates and forecasts, 2017-2030
7.3.8.2. Market estimates and forecasts, by agriculture type, 2017-2030 (USD Million)
7.3.8.3. Market estimates and forecasts, by offering, 2017-2030 (USD Million)
7.3.8.4. Market estimates and forecasts, by application, 2017-2030 (USD Million)
7.3.9. Russia
7.3.9.1. Market estimates and forecasts, 2017-2030
7.3.9.2. Market estimates and forecasts, by agriculture type, 2017-2030 (USD Million)
7.3.9.3. Market estimates and forecasts, by offering, 2017-2030 (USD Million)
7.3.9.4. Market estimates and forecasts, by application, 2017-2030 (USD Million)
7.4. Asia Pacific
7.4.1. Market estimates and forecasts, 2017-2030
7.4.2. Market estimates and forecasts, by agriculture type, 2017-2030 (USD Million)
7.4.3. Market estimates and forecasts, by offering, 2017-2030 (USD Million)
7.4.4. Market estimates and forecasts, by application, 2017-2030 (USD Million)
7.4.5. China
7.4.5.1. Market estimates and forecasts, 2017-2030
7.4.5.2. Market estimates and forecasts, by agriculture type, 2017-2030 (USD Million)
7.4.5.3. Market estimates and forecasts, by offering, 2017-2030 (USD Million)
7.4.5.4. Market estimates and forecasts, by application, 2017-2030 (USD Million)
7.4.6. India
7.4.6.1. Market estimates and forecasts, 2017-2030
7.4.6.2. Market estimates and forecasts, by agriculture type, 2017-2030 (USD Million)
7.4.6.3. Market estimates and forecasts, by offering, 2017-2030 (USD Million)
7.4.6.4. Market estimates and forecasts, by application, 2017-2030 (USD Million)
7.4.7. Japan
7.4.7.1. Market estimates and forecasts, 2017-2030
7.4.7.2. Market estimates and forecasts, by agriculture type, 2017-2030 (USD Million)
7.4.7.3. Market estimates and forecasts, by offering, 2017-2030 (USD Million)
7.4.7.4. Market estimates and forecasts, by application, 2017-2030 (USD Million)
7.4.8. Singapore
7.4.8.1. Market estimates and forecasts, 2017-2030
7.4.8.2. Market estimates and forecasts, by agriculture type, 2017-2030 (USD Million)
7.4.8.3. Market estimates and forecasts, by offering, 2017-2030 (USD Million)
7.4.8.4. Market estimates and forecasts, by application, 2017-2030 (USD Million)
7.4.9. Australia
7.4.9.1. Market estimates and forecasts, 2017-2030
7.4.9.2. Market estimates and forecasts, by agriculture type, 2017-2030 (USD Million)
7.4.9.3. Market estimates and forecasts, by offering, 2017-2030 (USD Million)
7.4.9.4. Market estimates and forecasts, by application, 2017-2030 (USD Million)
7.5. South America
7.5.1. Market estimates and forecasts, 2017-2030
7.5.2. Market estimates and forecasts, by agriculture type, 2017-2030 (USD Million)
7.5.3. Market estimates and forecasts, by offering, 2017-2030 (USD Million)
7.5.4. Market estimates and forecasts, by application, 2017-2030 (USD Million)
7.5.5. Brazil
7.5.5.1. Market estimates and forecasts, 2017-2030
7.5.5.2. Market estimates and forecasts, by agriculture type, 2017-2030 (USD Million)
7.5.5.3. Market estimates and forecasts, by offering, 2017-2030 (USD Million)
7.5.5.4. Market estimates and forecasts, by application, 2017-2030 (USD Million)
7.6. MEA
7.6.1. Market estimates and forecasts, 2017-2030
7.6.2. Market estimates and forecasts, by agriculture type, 2017-2030 (USD Million)
7.6.3. Market estimates and forecasts, by offering, 2017-2030 (USD Million)
7.6.4. Market estimates and forecasts, by application, 2017-2030 (USD Million)
7.6.5. Turkey
7.6.5.1. Market estimates and forecasts, 2017-2030
7.6.5.2. Market estimates and forecasts, by agriculture type, 2017-2030 (USD Million)
7.6.5.3. Market estimates and forecasts, by offering, 2017-2030 (USD Million)
7.6.5.4. Market estimates and forecasts, by application, 2017-2030 (USD Million)
Chapter 8. Competitive Analysis
8.1. Recent developments & impact analysis, by key market participants
8.2. Company/Competition Categorization (Key innovators, Market leaders, and Emerging players)
8.3. Vendor Landscape
8.3.1. Key company market share analysis, 2021
8.4. Company Analysis Tools
8.4.1. Market position analysis, 2021
8.4.2. Competitive dashboard analysis, 2021
Chapter 9. Competitive Landscape
9.1. Company Profiles
9.1.1. Ag Leader Technology
9.1.1.1. Company overview
9.1.1.2. Financial performance
9.1.1.3. Product benchmarking
9.1.1.4. Strategic initiatives
9.1.2. AGCO Corporation
9.1.2.1. Company overview
9.1.2.2. Financial performance
9.1.2.3. Product benchmarking
9.1.2.4. Strategic initiatives
9.1.3. AgJunction, Inc.
9.1.3.1. Company overview
9.1.3.2. Financial performance
9.1.3.3. Product benchmarking
9.1.3.4. Strategic initiatives
9.1.4. AgEagle Aerial Systems Inc.
9.1.4.1. Company overview
9.1.4.2. Financial performance
9.1.4.3. Product benchmarking
9.1.4.4. Strategic initiatives
9.1.5. Autonomous Solutions, Inc.
9.1.5.1. Company overview
9.1.5.2. Financial performance
9.1.5.3. Product benchmarking
9.1.5.4. Strategic initiatives
9.1.6. Argus Control Systems Ltd.
9.1.6.1. Company overview
9.1.6.2. Financial performance
9.1.6.3. Product benchmarking
9.1.6.4. Strategic initiatives
9.1.7. BouMatic Robotic B.V.
9.1.7.1. Company overview
9.1.7.2. Financial performance
9.1.7.3. Product benchmarking
9.1.7.4. Strategic initiatives
9.1.8. CropMetrics
9.1.8.1. Company overview
9.1.8.2. Financial performance
9.1.8.3. Product benchmarking
9.1.8.4. Strategic initiatives
9.1.9. CLAAS KGaA mbH
9.1.9.1. Company overview
9.1.9.2. Financial performance
9.1.9.3. Product benchmarking
9.1.9.4. Strategic initiatives
9.1.10. CNH Industrial N.V.
9.1.10.1. Company overview
9.1.10.2. Financial performance
9.1.10.3. Product benchmarking
9.1.10.4. Strategic initiatives
9.1.11. CropZilla
9.1.11.1. Company overview
9.1.11.2. Financial performance
9.1.11.3. Product benchmarking
9.1.11.4. Strategic initiatives
9.1.12. Deere & Company
9.1.12.1. Company overview
9.1.12.2. Financial performance
9.1.12.3. Product benchmarking
9.1.12.4. Strategic initiatives
9.1.13. Deere & Company
9.1.13.1. Company overview
9.1.13.2. Financial performance
9.1.13.3. Product benchmarking
9.1.13.4. Strategic initiatives
9.1.14. DroneDeploy
9.1.14.1. Company overview
9.1.14.2. Financial performance
9.1.14.3. Product benchmarking
9.1.14.4. Strategic initiatives
9.1.15. DeLaval Inc
9.1.15.1. Company overview
9.1.15.2. Financial performance
9.1.15.3. Product benchmarking
9.1.15.4. Strategic initiatives
9.1.16. Farmers Edge Inc.
9.1.16.1. Company overview
9.1.16.2. Financial performance
9.1.16.3. Product benchmarking
9.1.16.4. Strategic initiatives
9.1.17. Grownetics, Inc.
9.1.17.1. Company overview
9.1.17.2. Financial performance
9.1.17.3. Product benchmarking
9.1.17.4. Strategic initiatives
9.1.18. Granular, Inc.
9.1.18.1. Company overview
9.1.18.2. Financial performance
9.1.18.3. Product benchmarking
9.1.18.4. Strategic initiatives
9.1.19. Gamaya
9.1.19.1. Company overview
9.1.19.2. Financial performance
9.1.19.3. Product benchmarking
9.1.19.4. Strategic initiatives
9.1.20. GEA Group Aktiengesellschaft
9.1.20.1. Company overview
9.1.20.2. Financial performance
9.1.20.3. Product benchmarking
9.1.20.4. Strategic initiatives
9.1.21. Raven Industries
9.1.21.1. Company overview
9.1.21.2. Financial performance
9.1.21.3. Product benchmarking
9.1.21.4. Strategic initiatives
9.1.22. SST Development Group, Inc
9.1.22.1. Company overview
9.1.22.2. Financial performance
9.1.22.3. Product benchmarking
9.1.22.4. Strategic initiatives
9.1.23. Trimble Inc.
9.1.23.1. Company overview
9.1.23.2. Financial performance
9.1.23.3. Product benchmarking
9.1.23.4. Strategic initiatives
9.1.24. The Climate Corporation
9.1.24.1. Company overview
9.1.24.2. Financial performance
9.1.24.3. Product benchmarking
9.1.24.4. Strategic initiatives
9.1.25. Topcon
9.1.25.1. Company overview
9.1.25.2. Financial performance
9.1.25.3. Product benchmarking
9.1.25.4. Strategic initiatives

Companies Mentioned

  • AG Leader Technology
  • Agco Corporation
  • Agjunction, Inc.
  • Ageagle Aerial Systems Inc.
  • Autonomous Solutions, Inc.
  • Argus Control Systems Ltd.
  • Boumatic Robotic B.V.
  • Cropmetrics
  • Claas Kgaa Mbh
  • Cnh Industrial N.V.
  • Cropzilla
  • Deere & Company
  • Deere & Company
  • Dronedeploy
  • Delaval Inc
  • Farmers Edge Inc.
  • Grownetics, Inc.
  • Granular, Inc.
  • Gamaya
  • Gea Group Aktiengesellschaft
  • Raven Industries
  • Sst Development Group, Inc
  • Trimble Inc.
  • the Climate Corporation
  • Topcon

Methodology

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