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. This report mainly covers the Smart agriculture senor and robot and other device. software and other service solution is not covered.
The global market for Smart Agriculture was estimated to be worth US$ 4036.7 million in 2023 and is forecast to a readjusted size of US$ 7725.4 million by 2030 with a CAGR of 9.6% during the forecast period 2024-2030
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.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Smart Agriculture, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Smart Agriculture by region & country, by Type, and by Application.
The Smart Agriculture market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. 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 Smart Agriculture.
麻豆原创 Segmentation
By Company
Texas Instruments
John Deere
AKVA Group
Robotics Plus
AGCO Corporation
GEA Farm Technologies
CropX
Trimble Inc
Yamaha
Lely
DeLaval
YANMAR
FarmBot
Raven Industries
AG Leader Technology
TOPCON Positioning Systems
AG Junction
Allflex
AeroFarms
Osram Licht AG
XAG
Kebai Science
Shenzhen High-tech New Agriculture Technology
Segment by Type:
Smart Agriculture Sensor
Smart Agriculture Robot
Agricultural Drone
Others
Segment by Application
Planting Agriculture
Horticulture
Livestock Monitoring
Others
By Region
North America
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides 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 2: Detailed analysis of Smart Agriculture manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: 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 4: 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 5: Revenue of Smart Agriculture in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Smart Agriculture in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 麻豆原创 Overview
1.1 Smart Agriculture Product Introduction
1.2 Global Smart Agriculture 麻豆原创 Size Forecast
1.3 Smart Agriculture 麻豆原创 Trends & Drivers
1.3.1 Smart Agriculture Industry Trends
1.3.2 Smart Agriculture 麻豆原创 Drivers & Opportunity
1.3.3 Smart Agriculture 麻豆原创 Challenges
1.3.4 Smart Agriculture 麻豆原创 Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Smart Agriculture Players Revenue Ranking (2023)
2.2 Global Smart Agriculture Revenue by Company (2019-2024)
2.3 Key Companies Smart Agriculture Manufacturing Base Distribution and Headquarters
2.4 Key Companies Smart Agriculture Product Offered
2.5 Key Companies Time to Begin Mass Production of Smart Agriculture
2.6 Smart Agriculture 麻豆原创 Competitive Analysis
2.6.1 Smart Agriculture 麻豆原创 Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Smart Agriculture Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Smart Agriculture as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Smart Agriculture Sensor
3.1.2 Smart Agriculture Robot
3.1.3 Agricultural Drone
3.1.4 Others
3.2 Global Smart Agriculture Sales Value by Type
3.2.1 Global Smart Agriculture Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Smart Agriculture Sales Value, by Type (2019-2030)
3.2.3 Global Smart Agriculture Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Planting Agriculture
4.1.2 Horticulture
4.1.3 Livestock Monitoring
4.1.4 Others
4.2 Global Smart Agriculture Sales Value by Application
4.2.1 Global Smart Agriculture Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Smart Agriculture Sales Value, by Application (2019-2030)
4.2.3 Global Smart Agriculture Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Smart Agriculture Sales Value by Region
5.1.1 Global Smart Agriculture Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Smart Agriculture Sales Value by Region (2019-2024)
5.1.3 Global Smart Agriculture Sales Value by Region (2025-2030)
5.1.4 Global Smart Agriculture Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Smart Agriculture Sales Value, 2019-2030
5.2.2 North America Smart Agriculture Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Smart Agriculture Sales Value, 2019-2030
5.3.2 Europe Smart Agriculture Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Smart Agriculture Sales Value, 2019-2030
5.4.2 Asia Pacific Smart Agriculture Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Smart Agriculture Sales Value, 2019-2030
5.5.2 South America Smart Agriculture Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Smart Agriculture Sales Value, 2019-2030
5.6.2 Middle East & Africa Smart Agriculture Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Smart Agriculture Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Smart Agriculture Sales Value
6.3 United States
6.3.1 United States Smart Agriculture Sales Value, 2019-2030
6.3.2 United States Smart Agriculture Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Smart Agriculture Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Smart Agriculture Sales Value, 2019-2030
6.4.2 Europe Smart Agriculture Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Smart Agriculture Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Smart Agriculture Sales Value, 2019-2030
6.5.2 China Smart Agriculture Sales Value by Type (%), 2023 VS 2030
6.5.3 China Smart Agriculture Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Smart Agriculture Sales Value, 2019-2030
6.6.2 Japan Smart Agriculture Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Smart Agriculture Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Smart Agriculture Sales Value, 2019-2030
6.7.2 South Korea Smart Agriculture Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Smart Agriculture Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Smart Agriculture Sales Value, 2019-2030
6.8.2 Southeast Asia Smart Agriculture Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Smart Agriculture Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Smart Agriculture Sales Value, 2019-2030
6.9.2 India Smart Agriculture Sales Value by Type (%), 2023 VS 2030
6.9.3 India Smart Agriculture Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Texas Instruments
7.1.1 Texas Instruments Profile
7.1.2 Texas Instruments Main Business
7.1.3 Texas Instruments Smart Agriculture Products, Services and Solutions
7.1.4 Texas Instruments Smart Agriculture Revenue (US$ Million) & (2019-2024)
7.1.5 Texas Instruments Recent Developments
7.2 John Deere
7.2.1 John Deere Profile
7.2.2 John Deere Main Business
7.2.3 John Deere Smart Agriculture Products, Services and Solutions
7.2.4 John Deere Smart Agriculture Revenue (US$ Million) & (2019-2024)
7.2.5 John Deere Recent Developments
7.3 AKVA Group
7.3.1 AKVA Group Profile
7.3.2 AKVA Group Main Business
7.3.3 AKVA Group Smart Agriculture Products, Services and Solutions
7.3.4 AKVA Group Smart Agriculture Revenue (US$ Million) & (2019-2024)
7.3.5 Robotics Plus Recent Developments
7.4 Robotics Plus
7.4.1 Robotics Plus Profile
7.4.2 Robotics Plus Main Business
7.4.3 Robotics Plus Smart Agriculture Products, Services and Solutions
7.4.4 Robotics Plus Smart Agriculture Revenue (US$ Million) & (2019-2024)
7.4.5 Robotics Plus Recent Developments
7.5 AGCO Corporation
7.5.1 AGCO Corporation Profile
7.5.2 AGCO Corporation Main Business
7.5.3 AGCO Corporation Smart Agriculture Products, Services and Solutions
7.5.4 AGCO Corporation Smart Agriculture Revenue (US$ Million) & (2019-2024)
7.5.5 AGCO Corporation Recent Developments
7.6 GEA Farm Technologies
7.6.1 GEA Farm Technologies Profile
7.6.2 GEA Farm Technologies Main Business
7.6.3 GEA Farm Technologies Smart Agriculture Products, Services and Solutions
7.6.4 GEA Farm Technologies Smart Agriculture Revenue (US$ Million) & (2019-2024)
7.6.5 GEA Farm Technologies Recent Developments
7.7 CropX
7.7.1 CropX Profile
7.7.2 CropX Main Business
7.7.3 CropX Smart Agriculture Products, Services and Solutions
7.7.4 CropX Smart Agriculture Revenue (US$ Million) & (2019-2024)
7.7.5 CropX Recent Developments
7.8 Trimble Inc
7.8.1 Trimble Inc Profile
7.8.2 Trimble Inc Main Business
7.8.3 Trimble Inc Smart Agriculture Products, Services and Solutions
7.8.4 Trimble Inc Smart Agriculture Revenue (US$ Million) & (2019-2024)
7.8.5 Trimble Inc Recent Developments
7.9 Yamaha
7.9.1 Yamaha Profile
7.9.2 Yamaha Main Business
7.9.3 Yamaha Smart Agriculture Products, Services and Solutions
7.9.4 Yamaha Smart Agriculture Revenue (US$ Million) & (2019-2024)
7.9.5 Yamaha Recent Developments
7.10 Lely
7.10.1 Lely Profile
7.10.2 Lely Main Business
7.10.3 Lely Smart Agriculture Products, Services and Solutions
7.10.4 Lely Smart Agriculture Revenue (US$ Million) & (2019-2024)
7.10.5 Lely Recent Developments
7.11 DeLaval
7.11.1 DeLaval Profile
7.11.2 DeLaval Main Business
7.11.3 DeLaval Smart Agriculture Products, Services and Solutions
7.11.4 DeLaval Smart Agriculture Revenue (US$ Million) & (2019-2024)
7.11.5 DeLaval Recent Developments
7.12 YANMAR
7.12.1 YANMAR Profile
7.12.2 YANMAR Main Business
7.12.3 YANMAR Smart Agriculture Products, Services and Solutions
7.12.4 YANMAR Smart Agriculture Revenue (US$ Million) & (2019-2024)
7.12.5 YANMAR Recent Developments
7.13 FarmBot
7.13.1 FarmBot Profile
7.13.2 FarmBot Main Business
7.13.3 FarmBot Smart Agriculture Products, Services and Solutions
7.13.4 FarmBot Smart Agriculture Revenue (US$ Million) & (2019-2024)
7.13.5 FarmBot Recent Developments
7.14 Raven Industries
7.14.1 Raven Industries Profile
7.14.2 Raven Industries Main Business
7.14.3 Raven Industries Smart Agriculture Products, Services and Solutions
7.14.4 Raven Industries Smart Agriculture Revenue (US$ Million) & (2019-2024)
7.14.5 Raven Industries Recent Developments
7.15 AG Leader Technology
7.15.1 AG Leader Technology Profile
7.15.2 AG Leader Technology Main Business
7.15.3 AG Leader Technology Smart Agriculture Products, Services and Solutions
7.15.4 AG Leader Technology Smart Agriculture Revenue (US$ Million) & (2019-2024)
7.15.5 AG Leader Technology Recent Developments
7.16 TOPCON Positioning Systems
7.16.1 TOPCON Positioning Systems Profile
7.16.2 TOPCON Positioning Systems Main Business
7.16.3 TOPCON Positioning Systems Smart Agriculture Products, Services and Solutions
7.16.4 TOPCON Positioning Systems Smart Agriculture Revenue (US$ Million) & (2019-2024)
7.16.5 TOPCON Positioning Systems Recent Developments
7.17 AG Junction
7.17.1 AG Junction Profile
7.17.2 AG Junction Main Business
7.17.3 AG Junction Smart Agriculture Products, Services and Solutions
7.17.4 AG Junction Smart Agriculture Revenue (US$ Million) & (2019-2024)
7.17.5 AG Junction Recent Developments
7.18 Allflex
7.18.1 Allflex Profile
7.18.2 Allflex Main Business
7.18.3 Allflex Smart Agriculture Products, Services and Solutions
7.18.4 Allflex Smart Agriculture Revenue (US$ Million) & (2019-2024)
7.18.5 Allflex Recent Developments
7.19 AeroFarms
7.19.1 AeroFarms Profile
7.19.2 AeroFarms Main Business
7.19.3 AeroFarms Smart Agriculture Products, Services and Solutions
7.19.4 AeroFarms Smart Agriculture Revenue (US$ Million) & (2019-2024)
7.19.5 AeroFarms Recent Developments
7.20 Osram Licht AG
7.20.1 Osram Licht AG Profile
7.20.2 Osram Licht AG Main Business
7.20.3 Osram Licht AG Smart Agriculture Products, Services and Solutions
7.20.4 Osram Licht AG Smart Agriculture Revenue (US$ Million) & (2019-2024)
7.20.5 Osram Licht AG Recent Developments
7.21 XAG
7.21.1 XAG Profile
7.21.2 XAG Main Business
7.21.3 XAG Smart Agriculture Products, Services and Solutions
7.21.4 XAG Smart Agriculture Revenue (US$ Million) & (2019-2024)
7.21.5 XAG Recent Developments
7.22 Kebai Science
7.22.1 Kebai Science Profile
7.22.2 Kebai Science Main Business
7.22.3 Kebai Science Smart Agriculture Products, Services and Solutions
7.22.4 Kebai Science Smart Agriculture Revenue (US$ Million) & (2019-2024)
7.22.5 Kebai Science Recent Developments
7.23 Shenzhen High-tech New Agriculture Technology
7.23.1 Shenzhen High-tech New Agriculture Technology Profile
7.23.2 Shenzhen High-tech New Agriculture Technology Main Business
7.23.3 Shenzhen High-tech New Agriculture Technology Smart Agriculture Products, Services and Solutions
7.23.4 Shenzhen High-tech New Agriculture Technology Smart Agriculture Revenue (US$ Million) & (2019-2024)
7.23.5 Shenzhen High-tech New Agriculture Technology Recent Developments
8 Industry Chain Analysis
8.1 Smart Agriculture Industrial Chain
8.2 Smart Agriculture Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Smart Agriculture Sales Model
8.5.2 Sales Channel
8.5.3 Smart Agriculture Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer
Texas Instruments
John Deere
AKVA Group
Robotics Plus
AGCO Corporation
GEA Farm Technologies
CropX
Trimble Inc
Yamaha
Lely
DeLaval
YANMAR
FarmBot
Raven Industries
AG Leader Technology
TOPCON Positioning Systems
AG Junction
Allflex
AeroFarms
Osram Licht AG
XAG
Kebai Science
Shenzhen High-tech New Agriculture Technology
听
听
*If Applicable.