APO RESEARCH · REPORT
Smart Agriculture
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.
Product & engineering
Understand the product.
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.
Selected research
Industry Research
Smart Agriculture Industry Research Report 2026
Market perspective
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 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
Read the full market overview
This report quantifies the global Smart Agriculture market in terms of revenue (US$ million) and, where applicable, service volume (), using 2024 as the base year and providing annual historical and forecast data for 2021–2032.
It standardizes definitions of service Types and end-use Applications, harmonizes provider attribution, and delivers comparable time series by company, Type, Application, and region or country, including indicative price bands (US$/) and concentration ratios (CR5/CR10). Outputs are intended to support service design, budgeting, capacity planning, and benchmarking for providers, platforms, channel partners, and investors; the report also reviews technology shifts and notable service innovations relevant to Smart Agriculture.
Key Companies & Market Share Insights
This section profiles leading service providers with 2021–2025 results and a 2026–2032 outlook—covering revenue, market share, price bands, service portfolio and client mix, regional and channel mix, and key developments (M&A, network expansion, certifications). It also provides global revenue, average price, and—where applicable—volume metrics by provider, and calculates CR5/CR10 and rank changes to support comparative benchmarking.
Smart Agriculture Market 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
Smart Agriculture Segment by Type
Smart Agriculture Sensor
Smart Agriculture Robot
Agricultural Drone
Others
Smart Agriculture Segment by Application
Planting Agriculture
Horticulture
Livestock Monitoring
Others
Smart Agriculture Segment by Region
North America
United States
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Spain
Russia
Netherlands
Nordic Countries
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Middle East & Africa
Saudi Arabia
Israel
United Arab Emirates
Turkey
Iran
Egypt
Key Drivers & Barriers
High-impact rendering factors and drivers have been studied in this report to aid the readers to understand the general development. Moreover, the report includes restraints and challenges that may act as stumbling blocks on the way of the players. This will assist the users to be attentive and make informed decisions related to business. Specialists have also laid their focus on the upcoming business prospects.
Reasons to Buy This Report
1. This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global Smart Agriculture market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.
2. This report will help stakeholders to understand the global industry status and trends of Smart Agriculture and provides them with information on key market drivers, restraints, challenges, and opportunities.
3. This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in volume and value), competitor ecosystem, new product development, expansion, and acquisition.
4. This report stays updated with novel technology integration, features, and the latest developments in the market
5. This report helps stakeholders to gain insights into which regions to target globally
6. This report helps stakeholders to gain insights into the end-user perception concerning the adoption of Smart Agriculture.
7. This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.
Chapter Outline
Chapter 1: Research objectives, research methods, data sources, data cross-validation;
Chapter 2: Introduces the report scope of the report, executive summary of different market segments (product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 3: Provides the analysis of various market segments product types, 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 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: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 6: Detailed analysis of Smart Agriculture companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 7, 8, 9, 10, 11: North America, Europe, Asia Pacific, South America, Middle East and Africa segment by country. 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, and capacity of each country in the world.
Chapter 12: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including revenue, gross margin, product introduction, recent development, etc.
Chapter 13: The main points and conclusions of the report.
More report detail
Tables and figures
Scope & coverage.
Types
- Smart Agriculture Sensor
- Smart Agriculture Robot
- Agricultural Drone
- Others
Applications
- Planting Agriculture
- Horticulture
- Livestock Monitoring
- Others
Companies covered
- 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
Inside the report.
1 Preface
- 1.1 Scope of Report
- 1.2 Reasons for Doing This Study
- 1.3 Research Methodology
- 1.4 Research Process
- 1.5 Data Source
- 1.5.1 Secondary Sources
- 1.5.2 Primary Sources
2 Market Overview
- 2.1 Product Definition
- 2.2 Smart Agriculture by Type
- 2.2.1 Market Value Comparison by Type (2021 VS 2025 VS 2032)
- 2.2.2 Smart Agriculture Sensor
- 2.2.3 Smart Agriculture Robot
- 2.2.4 Agricultural Drone
- 2.2.5 Others
- 2.3 Smart Agriculture by Application
- 2.3.1 Market Value Comparison by Application (2021 VS 2025 VS 2032)
- 2.3.2 Planting Agriculture
- 2.3.3 Horticulture
- 2.3.4 Livestock Monitoring
- 2.3.5 Others
- 2.4 Assumptions and Limitations
3 Smart Agriculture Breakdown Data by Type
- 3.1 Global Smart Agriculture Historic Market Size by Type (2021-2026)
- 3.2 Global Smart Agriculture Forecasted Market Size by Type (2027-2032)
4 Smart Agriculture Breakdown Data by Application
- 4.1 Global Smart Agriculture Historic Market Size by Application (2021-2026)
- 4.2 Global Smart Agriculture Forecasted Market Size by Application (2027-2032)
5 Global Growth Trends
- 5.1 Global Smart Agriculture Market Perspective (2021-2032)
- 5.2 Global Smart Agriculture Growth Trends by Region
- 5.2.1 Global Smart Agriculture Market Size by Region: 2021 VS 2025 VS 2032
- 5.2.2 Smart Agriculture Historic Market Size by Region (2021-2026)
- 5.2.3 Smart Agriculture Forecasted Market Size by Region (2027-2032)
- 5.3 Smart Agriculture Market Dynamics
- 5.3.1 Smart Agriculture Industry Trends
- 5.3.2 Smart Agriculture Market Drivers
- 5.3.3 Smart Agriculture Market Challenges
- 5.3.4 Smart Agriculture Market Restraints
6 Market Competitive Landscape by Players
- 6.1 Global Top Smart Agriculture Players by Revenue
- 6.1.1 Global Top Smart Agriculture Players by Revenue (2021-2026)
- 6.1.2 Global Smart Agriculture Revenue Market Share by Players (2021-2026)
- 6.2 Global Smart Agriculture Industry Players Ranking, 2023 VS 2024 VS 2025
- 6.3 Global Key Players of Smart Agriculture Head Office and Area Served
- 6.4 Global Smart Agriculture Players, Product Type & Application
- 6.5 Global Smart Agriculture Manufacturers Established Date
- 6.6 Global Smart Agriculture Market CR5 and HHI
- 6.7 Global Players Mergers & Acquisition
7 North America
- 7.1 North America Smart Agriculture Market Size (2021-2032)
- 7.2 North America Smart Agriculture Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 7.3 North America Smart Agriculture Market Size by Country (2021-2026)
- 7.4 North America Smart Agriculture Market Size by Country (2027-2032)
- 7.5 United States
- 7.5 United States
- 7.6 Canada
- 7.7 Mexico
8 Europe
- 8.1 Europe Smart Agriculture Market Size (2021-2032)
- 8.2 Europe Smart Agriculture Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 8.3 Europe Smart Agriculture Market Size by Country (2021-2026)
- 8.4 Europe Smart Agriculture Market Size by Country (2027-2032)
- 8.5 Germany
- 8.6 France
- 8.7 U.K.
- 8.8 Italy
- 8.9 Spain
- 8.10 Russia
- 8.11 Netherlands
- 8.12 Nordic Countries
9 Asia-Pacific
- 9.1 Asia-Pacific Smart Agriculture Market Size (2021-2032)
- 9.2 Asia-Pacific Smart Agriculture Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 9.3 Asia-Pacific Smart Agriculture Market Size by Country (2021-2026)
- 9.4 Asia-Pacific Smart Agriculture Market Size by Country (2027-2032)
- 9.5 China
- 9.6 Japan
- 9.7 South Korea
- 9.8 India
- 9.9 Australia
- 9.10 China Taiwan
- 9.11 Southeast Asia
10 South America
- 10.1 South America Smart Agriculture Market Size (2021-2032)
- 10.2 South America Smart Agriculture Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 10.3 South America Smart Agriculture Market Size by Country (2021-2026)
- 10.4 South America Smart Agriculture Market Size by Country (2027-2032)
- 10.5 Brazil
- 10.6 Argentina
- 10.7 Chile
- 10.8 Colombia
- 10.9 Peru
11 Middle East & Africa
- 11.1 Middle East & Africa Smart Agriculture Market Size (2021-2032)
- 11.2 Middle East & Africa Smart Agriculture Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 11.3 Middle East & Africa Smart Agriculture Market Size by Country (2021-2026)
- 11.4 Middle East & Africa Smart Agriculture Market Size by Country (2027-2032)
- 11.5 Saudi Arabia
- 11.6 Israel
- 11.7 United Arab Emirates
- 11.8 Turkey
- 11.9 Iran
- 11.10 Egypt
12 Players Profiled
- 12.1 Texas Instruments
- 12.1.1 Texas Instruments Company Information
- 12.1.2 Texas Instruments Business Overview
- 12.1.3 Texas Instruments Revenue in Smart Agriculture Business (2021-2026)
- 12.1.4 Texas Instruments Smart Agriculture Product Portfolio
- 12.1.5 Texas Instruments Recent Developments
- 12.2 John Deere
- 12.2.1 John Deere Company Information
- 12.2.2 John Deere Business Overview
- 12.2.3 John Deere Revenue in Smart Agriculture Business (2021-2026)
- 12.2.4 John Deere Smart Agriculture Product Portfolio
- 12.2.5 John Deere Recent Developments
- 12.3 AKVA Group
- 12.3.1 AKVA Group Company Information
- 12.3.2 AKVA Group Business Overview
- 12.3.3 AKVA Group Revenue in Smart Agriculture Business (2021-2026)
- 12.3.4 AKVA Group Smart Agriculture Product Portfolio
- 12.3.5 AKVA Group Recent Developments
- 12.4 Robotics Plus
- 12.4.1 Robotics Plus Company Information
- 12.4.2 Robotics Plus Business Overview
- 12.4.3 Robotics Plus Revenue in Smart Agriculture Business (2021-2026)
- 12.4.4 Robotics Plus Smart Agriculture Product Portfolio
- 12.4.5 Robotics Plus Recent Developments
- 12.5 AGCO Corporation
- 12.5.1 AGCO Corporation Company Information
- 12.5.2 AGCO Corporation Business Overview
- 12.5.3 AGCO Corporation Revenue in Smart Agriculture Business (2021-2026)
- 12.5.4 AGCO Corporation Smart Agriculture Product Portfolio
- 12.5.5 AGCO Corporation Recent Developments
- 12.6 GEA Farm Technologies
- 12.6.1 GEA Farm Technologies Company Information
- 12.6.2 GEA Farm Technologies Business Overview
- 12.6.3 GEA Farm Technologies Revenue in Smart Agriculture Business (2021-2026)
- 12.6.4 GEA Farm Technologies Smart Agriculture Product Portfolio
- 12.6.5 GEA Farm Technologies Recent Developments
- 12.7 CropX
- 12.7.1 CropX Company Information
- 12.7.2 CropX Business Overview
- 12.7.3 CropX Revenue in Smart Agriculture Business (2021-2026)
- 12.7.4 CropX Smart Agriculture Product Portfolio
- 12.7.5 CropX Recent Developments
- 12.8 Trimble Inc
- 12.8.1 Trimble Inc Company Information
- 12.8.2 Trimble Inc Business Overview
- 12.8.3 Trimble Inc Revenue in Smart Agriculture Business (2021-2026)
- 12.8.4 Trimble Inc Smart Agriculture Product Portfolio
- 12.8.5 Trimble Inc Recent Developments
- 12.9 Yamaha
- 12.9.1 Yamaha Company Information
- 12.9.2 Yamaha Business Overview
- 12.9.3 Yamaha Revenue in Smart Agriculture Business (2021-2026)
- 12.9.4 Yamaha Smart Agriculture Product Portfolio
- 12.9.5 Yamaha Recent Developments
- 12.10 Lely
- 12.10.1 Lely Company Information
- 12.10.2 Lely Business Overview
- 12.10.3 Lely Revenue in Smart Agriculture Business (2021-2026)
- 12.10.4 Lely Smart Agriculture Product Portfolio
- 12.10.5 Lely Recent Developments
- 12.11 DeLaval
- 12.11.1 DeLaval Company Information
- 12.11.2 DeLaval Business Overview
- 12.11.3 DeLaval Revenue in Smart Agriculture Business (2021-2026)
- 12.11.4 DeLaval Smart Agriculture Product Portfolio
- 12.11.5 DeLaval Recent Developments
- 12.12 YANMAR
- 12.12.1 YANMAR Company Information
- 12.12.2 YANMAR Business Overview
- 12.12.3 YANMAR Revenue in Smart Agriculture Business (2021-2026)
- 12.12.4 YANMAR Smart Agriculture Product Portfolio
- 12.12.5 YANMAR Recent Developments
- 12.13 FarmBot
- 12.13.1 FarmBot Company Information
- 12.13.2 FarmBot Business Overview
- 12.13.3 FarmBot Revenue in Smart Agriculture Business (2021-2026)
- 12.13.4 FarmBot Smart Agriculture Product Portfolio
- 12.13.5 FarmBot Recent Developments
- 12.14 Raven Industries
- 12.14.1 Raven Industries Company Information
- 12.14.2 Raven Industries Business Overview
- 12.14.3 Raven Industries Revenue in Smart Agriculture Business (2021-2026)
- 12.14.4 Raven Industries Smart Agriculture Product Portfolio
- 12.14.5 Raven Industries Recent Developments
- 12.15 AG Leader Technology
- 12.15.1 AG Leader Technology Company Information
- 12.15.2 AG Leader Technology Business Overview
- 12.15.3 AG Leader Technology Revenue in Smart Agriculture Business (2021-2026)
- 12.15.4 AG Leader Technology Smart Agriculture Product Portfolio
- 12.15.5 AG Leader Technology Recent Developments
- 12.16 TOPCON Positioning Systems
- 12.16.1 TOPCON Positioning Systems Company Information
- 12.16.2 TOPCON Positioning Systems Business Overview
- 12.16.3 TOPCON Positioning Systems Revenue in Smart Agriculture Business (2021-2026)
- 12.16.4 TOPCON Positioning Systems Smart Agriculture Product Portfolio
- 12.16.5 TOPCON Positioning Systems Recent Developments
- 12.17 AG Junction
- 12.17.1 AG Junction Company Information
- 12.17.2 AG Junction Business Overview
- 12.17.3 AG Junction Revenue in Smart Agriculture Business (2021-2026)
- 12.17.4 AG Junction Smart Agriculture Product Portfolio
- 12.17.5 AG Junction Recent Developments
- 12.18 Allflex
- 12.18.1 Allflex Company Information
- 12.18.2 Allflex Business Overview
- 12.18.3 Allflex Revenue in Smart Agriculture Business (2021-2026)
- 12.18.4 Allflex Smart Agriculture Product Portfolio
- 12.18.5 Allflex Recent Developments
- 12.19 AeroFarms
- 12.19.1 AeroFarms Company Information
- 12.19.2 AeroFarms Business Overview
- 12.19.3 AeroFarms Revenue in Smart Agriculture Business (2021-2026)
- 12.19.4 AeroFarms Smart Agriculture Product Portfolio
- 12.19.5 AeroFarms Recent Developments
- 12.20 Osram Licht AG
- 12.20.1 Osram Licht AG Company Information
- 12.20.2 Osram Licht AG Business Overview
- 12.20.3 Osram Licht AG Revenue in Smart Agriculture Business (2021-2026)
- 12.20.4 Osram Licht AG Smart Agriculture Product Portfolio
- 12.20.5 Osram Licht AG Recent Developments
- 12.21 XAG
- 12.21.1 XAG Company Information
- 12.21.2 XAG Business Overview
- 12.21.3 XAG Revenue in Smart Agriculture Business (2021-2026)
- 12.21.4 XAG Smart Agriculture Product Portfolio
- 12.21.5 XAG Recent Developments
- 12.22 Kebai Science
- 12.22.1 Kebai Science Company Information
- 12.22.2 Kebai Science Business Overview
- 12.22.3 Kebai Science Revenue in Smart Agriculture Business (2021-2026)
- 12.22.4 Kebai Science Smart Agriculture Product Portfolio
- 12.22.5 Kebai Science Recent Developments
- 12.23 Shenzhen High-tech New Agriculture Technology
- 12.23.1 Shenzhen High-tech New Agriculture Technology Company Information
- 12.23.2 Shenzhen High-tech New Agriculture Technology Business Overview
- 12.23.3 Shenzhen High-tech New Agriculture Technology Revenue in Smart Agriculture Business (2021-2026)
- 12.23.4 Shenzhen High-tech New Agriculture Technology Smart Agriculture Product Portfolio
- 12.23.5 Shenzhen High-tech New Agriculture Technology Recent Developments
13 Report Conclusion
14 Disclaimer
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