Global smart agriculture markets of $ 29.18 billion until 2028

Dublin, Oct 06, 2021 (GLOBE NEWSWIRE) – The “Global Smart Agriculture Market Size, Share and Trend Analysis Report by Farm Type (Precision Farming, Livestock Monitoring) ), By Offer, By Application, By Region and Segment Forecast, The 2021-2028 report “has been added to ResearchAndMarkets.com offer.

The global smart agriculture market size is expected to reach $ 29.18 billion by 2028, with a CAGR of 10.6%.

Factors such as constant population growth, low availability of cultivable land, government incentives, and demand for fresh and high-quality food are expected to drive the smart greenhouses market.

The scarcity of land that prevails in urban cities has pushed producers to adopt new solutions to develop fresh produce. For example, the vertical farming technique allows consumers to grow crops indoors in layers, in a multi-story building, stacked on shelves or in a warehouse.

Population growth is expected to lead to an increase in food demand by 2050. Farmers are likely to be under enormous pressure to increase agricultural production, either by making more land available for growing crops or by adopting new techniques. such as smart farming and vertical farming. Traditional agricultural techniques face several obstacles such as climate change, high cost of labor.

These drawbacks can be overcome through the use of technologies such as LED indoor farming, which creates a close-to-nature condition to help farmers meet the growing demand for food. Moreover, the changing consumer preference for healthier and fresher food is expected to drive the market growth during the forecast period.

Agri M2M offers significant opportunities for mobile operators due to its potential to generate additional income through value added services. For example, bundling M2M services with a voice or data offering for rural business customers is likely to improve the application of M2M.

Agri VAS was developed to fill the information gap facing farmers in emerging markets such as China and India. In addition, it also helps to connect farmers with other key players in the agricultural supply chain.

Agricultural Value Added Services (VAS) have increased in recent years due to their growing awareness among VAS providers, mobile operators and farmers. A few types of M2M connectivity include cellular M2M, satellite and landline network, power line, and short-range connections such as Wi-Fi, Ethernet, and ZigBee.

Highlights of the Smart Agriculture Market Report

  • The increasing trend to produce biopharmaceuticals in a controlled environment is expected to drive demand in the smart greenhouses market during the projected period.

  • Software segment is expected to exhibit the highest growth rate, registering a CAGR of 16.7% during the forecast period.

  • The LED grow light segment is expected to witness a considerable growth rate during the forecast period.

  • The indoor growing technique uses LED to create a natural environment for growing vegetables and herbs.

  • The advent of modern agricultural technology as well as the flexible pricing of connected devices are likely to influence the demand of the South American regional market.

  • Various organizations are investing heavily in R&D to provide efficient and inexpensive solutions to consumers.

  • Major players in the smart agriculture market include CropMetrics LLC (US), Drone Deploy (US), DeLaval International AB (Sweden), DICKEY-john Corporation (US) and Farmers Edge, Inc. ( Canada), among others.

Main topics covered:

Chapter 1. Methodology and scope

Chapter 2. Executive summary

Chapter 3. Market Variables, Trends and Scope Prospects
3.1. Market lineage outlook
3.1.1. Vertical agricultural market
3.2. Mapping of penetration and growth prospects
3.3. Industry value chain analysis
3.4. Market dynamics
3.4.1. Market Driver Analysis
3.4.2. Analysis of market constraints
3.4.3. Analysis of market opportunities
3.5. Smart Agriculture Market Analysis
3.5.1. Industry analysis – the five forces of the wearer
3.5.2. PEST analysis
3.5.3. Analysis of major transactions and strategic alliances
3.5.3.1. New product innovation
3.5.3.2. Mergers and Acquisitions
3.5.3.3. Collaborations & partnerships
3.5.3.4. Expansion
3.5.4. Impact of COVID-19 on the smart agriculture market

Chapter 4. Outlook for the Smart Agriculture component
4.1. Smart agriculture market, by type of agriculture, 2020 and 2028
4.2. Precision farming
4.3. Livestock tracking
4.4. Smart greenhouse

Chapter 5. Prospects for smart agriculture supply
5.1. Smart agriculture market, by supply, 2020 and 2028
5.2. Equipment
5.3. Software
5.4. Service

Chapter 6. Prospects of Smart Agriculture Network Application
6.1. Smart Agriculture Market, By Application, 2020 and 2028
6.2. Livestock tracking.
6.2.1. Market Estimates & Forecasts, 2018 – 2028 (USD Million)
6.2.2. Market Estimates & Forecasts, By Region, 2018 – 2028 (USD Million)
6.2.3. Milk harvest
6.2.4. Livestock management
6.2.5. Power management
6.2.6. Animal comfort management
6.3. Smart greenhouse application
6.3.1. Market Estimates & Forecasts, 2018 – 2028 (USD Million)
6.3.2. Market estimates and forecasts, by region, 2018 – 2028 (USD Million)
6.3.3. Water and fertilizer management
6.3.4. HVAC management
6.3.5. Performance monitoring
6.4. Precision agriculture application
6.4.1. Market Estimates & Forecasts, 2018 – 2028 (USD Million)
6.4.2. Market Estimates & Forecasts, By Region, 2018 – 2028 (USD Million)
6.4.3. Performance monitoring
6.4.3.1. At the farm
6.4.3.2. Off farm
6.4.4. Field mapping
6.4.5. Culture screening
6.4.6. Weather monitoring and forecasting
6.4.7. Irrigation management
6.4.8. Inventory management
6.4.9. Agricultural labor management

Chapter 7. Regional outlook for smart agriculture
7.1. Smart agriculture market, by region, 2020 and 2028

Chapter 8. Competitive analysis
8.1. Recent developments and impact analysis, by the main market players
8.2. Categorization of companies / competitions (key innovators, market leaders and emerging players)
8.3. Supplier landscape
8.4. Business analysis tools

Chapter 9. Competitive landscape

  • Leading technology in agriculture

  • AGCO Company

  • AgJunction, Inc.

  • AgEagle Aerial Systems Inc.

  • Autonomous Solutions, Inc.

  • Argus Control Systems Ltée.

  • BouMatic Robotics BV

  • CropMetrics

  • CLAAS KGaA mbH

  • CNH Industrial SA

  • CropZilla

  • Deere & Company

  • Deere & Company

  • Deployment of drones

  • DeLaval inc.

  • Farmers Edge Inc.

  • Grownetics, Inc.

  • Granular, Inc.

  • Gamaya

  • GEA Aktiengesellschaft Group

  • Raven Industries

  • SST Development Group, Inc.

  • Trimble Inc.

  • The climate society

  • Topcon

For more information on this report visit https://www.researchandmarkets.com/r/vv1j8r

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