Intelligent Agriculture Market

The global Intelligent Agriculture market was valued at US$ 4153.6 million in 2022 and is projected to reach US$ 7180.8 million by 2029, at a CAGR of 8.1% during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.

Smart agriculture, allows farmers to maximize yields using minimal resources such as water, fertilizer, and seeds. By deploying sensors and mapping fields, farmers can begin to understand their crops at a micro scale, conserve resources, and reduce impacts on the environment. Smart agriculture has roots going back to the 1980s when Global Positioning System (GPS) capability became accessible for civilian use. Once farmers were able to accurately map their crop fields, they could monitor and apply fertilizer and weed treatments only to areas that required it. During the 1990s, early precision agriculture users adopted crop yield monitoring to generate fertilizer and pH correction recommendations. As more variables could be measured and entered into a crop model, more accurate recommendations for fertilizer application, watering, and even peak yield harvesting, could be made. A number of sensing technologies are used in precision agriculture, providing data that helps farmers monitor and optimize crops, as well as adapt to changing environmental factors. Intelligent Agriculture Market mainly covers the Smart agriculture senor and robot and other device. software and other service solution is not covered.

Intelligent Agriculture Market aims to provide a comprehensive presentation of the global market for Intelligent Agriculture, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Intelligent Agriculture. Intelligent Agriculture Market contains market size and forecasts of Intelligent Agriculture in global, including the following market information:

• Global Intelligent Agriculture Market Revenue, 2018-2023, 2024-2029, ($ millions)
• Global Intelligent Agriculture Market Sales, 2018-2023, 2024-2029, (K sqm)
• Global top five Intelligent Agriculture companies in 2022 (%)

The industry's leading producers are Texas Instruments, AGCO Corporation and GEA Farm Technologies, with revenue ratios of 8.10%, 11.00% and 2.67%, respectively, in 2019.

We surveyed the Intelligent Agriculture manufacturers, suppliers, distributors and industry experts on this industry, involving the sales, revenue, demand, price change, product type, recent development and plan, industry trends, drivers, challenges, obstacles, and potential risks.

Total Market by Segment:

Global Intelligent Agriculture Market, by Type, 2018-2023, 2024-2029 ($ Millions) & (K sqm)

Global Intelligent Agriculture Market Segment Percentages, by Type, 2022 (%)

• Hydroponics
• Aeroponics
• Others

Global Intelligent Agriculture Market, by Application, 2018-2023, 2024-2029 ($ Millions) & (K sqm)

Global Intelligent Agriculture Market Segment Percentages, by Application, 2022 (%)

• Vegetable Cultivation
• Fruit Planting
• Others

Global Intelligent Agriculture Market, By Region and Country, 2018-2023, 2024-2029 ($ Millions) & (K sqm)

Global Intelligent Agriculture Market Segment Percentages, By Region and Country, 2022 (%)

• North America
• US
• Canada
• Mexico
• Europe
• Germany
• France
• U.K.
• Italy
• Russia
• Nordic Countries
• Benelux
• Rest of Europe
• Asia
• China
• Japan
• South Korea
• Southeast Asia
• India
• Rest of Asia
• South America
• Brazil
• Argentina
• Rest of South America
• Middle East & Africa
• Turkey
• Israel
• Saudi Arabia
• UAE
• Rest of Middle East & Africa

Competitor Analysis

The report also provides analysis of leading market participants including:

Key companies Intelligent Agriculture revenues in global market, 2018-2023 (Estimated), ($ millions)

Key companies Intelligent Agriculture revenues share in global market, 2022 (%)

Key companies Intelligent Agriculture sales in global market, 2018-2023 (Estimated), (K sqm)

Key companies Intelligent Agriculture sales share in global market, 2022 (%)

Further, the report presents profiles of competitors in the market, key players include:

• AeroFarms
• Gotham Greens
• Plenty (Bright Farms)
• Lufa Farms
• Beijing IEDA Protected Horticulture
• Green Sense Farms
• Garden Fresh Farms
• Mirai
• Sky Vegetables
• TruLeaf
• Urban Crops
• Sky Greens
• GreenLand
• Scatil
• Jingpeng
• Metropolis Farms
• Plantagon
• Spread
• Sanan Sino Science
• Nongzhong Wulian
• Vertical Harvest
• Infinite Harvest
• FarmedHere
• Metro Farms
• Green Spirit Farms
• Indoor Harvest
• Sundrop Farms
• Alegria Fresh

Outline of Major Chapters:

• Chapter 1: Introduces the definition of Intelligent Agriculture, market overview.
• Chapter 2: Global Intelligent Agriculture market size in revenue and volume.
• Chapter 3: Detailed analysis of Intelligent Agriculture manufacturers competitive landscape, price, sales and revenue market share, latest development plan, merger, and acquisition information, etc.
• Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
• Chapter 5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
• Chapter 6: Sales of Intelligent Agriculture in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space of each country in the world.
• Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
• Chapter 8: Global Intelligent Agriculture capacity by region & country.
• Chapter 9: Introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
• Chapter 10: Analysis of industrial chain, including the upstream and downstream of the industry.
• Chapter 11: The main points and conclusions of the report.