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.
Highlights
The global Smart Agriculture market was valued at US$ 4457.2 million in 2022 and is anticipated to reach US$ 7725.4 million by 2029, witnessing a CAGR of 9.6% during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
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, 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.
The Smart Agriculture market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global Smart Agriculture market comprehensively. Regional market sizes, concerning products by type, by application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Smart Agriculture companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by type, by application, and by regions.
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
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Core Chapters
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by 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 2: 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 3: Detailed analysis of Smart Agriculture companies’ competitive landscape, 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, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin 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 11: Provides profiles of key players, introducing the basic situation of the key companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Report Overview
1.1 Study Scope
1.2 Âé¶¹Ô´´ Analysis by Type
1.2.1 Global Smart Agriculture Âé¶¹Ô´´ Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 Smart Agriculture Sensor
1.2.3 Smart Agriculture Robot
1.2.4 Agricultural Drone
1.2.5 Others
1.3 Âé¶¹Ô´´ by Application
1.3.1 Global Smart Agriculture Âé¶¹Ô´´ Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Planting Agriculture
1.3.3 Horticulture
1.3.4 Livestock Monitoring
1.3.5 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Smart Agriculture Âé¶¹Ô´´ Perspective (2018-2029)
2.2 Smart Agriculture Growth Trends by Region
2.2.1 Global Smart Agriculture Âé¶¹Ô´´ Size by Region: 2018 VS 2022 VS 2029
2.2.2 Smart Agriculture Historic Âé¶¹Ô´´ Size by Region (2018-2023)
2.2.3 Smart Agriculture Forecasted Âé¶¹Ô´´ Size by Region (2024-2029)
2.3 Smart Agriculture Âé¶¹Ô´´ Dynamics
2.3.1 Smart Agriculture Industry Trends
2.3.2 Smart Agriculture Âé¶¹Ô´´ Drivers
2.3.3 Smart Agriculture Âé¶¹Ô´´ Challenges
2.3.4 Smart Agriculture Âé¶¹Ô´´ Restraints
3 Competition Landscape by Key Players
3.1 Global Top Smart Agriculture Players by Revenue
3.1.1 Global Top Smart Agriculture Players by Revenue (2018-2023)
3.1.2 Global Smart Agriculture Revenue Âé¶¹Ô´´ Share by Players (2018-2023)
3.2 Global Smart Agriculture Âé¶¹Ô´´ Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Smart Agriculture Revenue
3.4 Global Smart Agriculture Âé¶¹Ô´´ Concentration Ratio
3.4.1 Global Smart Agriculture Âé¶¹Ô´´ Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Smart Agriculture Revenue in 2022
3.5 Smart Agriculture Key Players Head office and Area Served
3.6 Key Players Smart Agriculture Product Solution and Service
3.7 Date of Enter into Smart Agriculture Âé¶¹Ô´´
3.8 Mergers & Acquisitions, Expansion Plans
4 Smart Agriculture Breakdown Data by Type
4.1 Global Smart Agriculture Historic Âé¶¹Ô´´ Size by Type (2018-2023)
4.2 Global Smart Agriculture Forecasted Âé¶¹Ô´´ Size by Type (2024-2029)
5 Smart Agriculture Breakdown Data by Application
5.1 Global Smart Agriculture Historic Âé¶¹Ô´´ Size by Application (2018-2023)
5.2 Global Smart Agriculture Forecasted Âé¶¹Ô´´ Size by Application (2024-2029)
6 North America
6.1 North America Smart Agriculture Âé¶¹Ô´´ Size (2018-2029)
6.2 North America Smart Agriculture Âé¶¹Ô´´ Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Smart Agriculture Âé¶¹Ô´´ Size by Country (2018-2023)
6.4 North America Smart Agriculture Âé¶¹Ô´´ Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Smart Agriculture Âé¶¹Ô´´ Size (2018-2029)
7.2 Europe Smart Agriculture Âé¶¹Ô´´ Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Smart Agriculture Âé¶¹Ô´´ Size by Country (2018-2023)
7.4 Europe Smart Agriculture Âé¶¹Ô´´ Size by Country (2024-2029)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Smart Agriculture Âé¶¹Ô´´ Size (2018-2029)
8.2 Asia-Pacific Smart Agriculture Âé¶¹Ô´´ Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Smart Agriculture Âé¶¹Ô´´ Size by Region (2018-2023)
8.4 Asia-Pacific Smart Agriculture Âé¶¹Ô´´ Size by Region (2024-2029)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Smart Agriculture Âé¶¹Ô´´ Size (2018-2029)
9.2 Latin America Smart Agriculture Âé¶¹Ô´´ Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Smart Agriculture Âé¶¹Ô´´ Size by Country (2018-2023)
9.4 Latin America Smart Agriculture Âé¶¹Ô´´ Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Smart Agriculture Âé¶¹Ô´´ Size (2018-2029)
10.2 Middle East & Africa Smart Agriculture Âé¶¹Ô´´ Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Smart Agriculture Âé¶¹Ô´´ Size by Country (2018-2023)
10.4 Middle East & Africa Smart Agriculture Âé¶¹Ô´´ Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Texas Instruments
11.1.1 Texas Instruments Company Detail
11.1.2 Texas Instruments Business Overview
11.1.3 Texas Instruments Smart Agriculture Introduction
11.1.4 Texas Instruments Revenue in Smart Agriculture Business (2018-2023)
11.1.5 Texas Instruments Recent Development
11.2 John Deere
11.2.1 John Deere Company Detail
11.2.2 John Deere Business Overview
11.2.3 John Deere Smart Agriculture Introduction
11.2.4 John Deere Revenue in Smart Agriculture Business (2018-2023)
11.2.5 John Deere Recent Development
11.3 AKVA Group
11.3.1 AKVA Group Company Detail
11.3.2 AKVA Group Business Overview
11.3.3 AKVA Group Smart Agriculture Introduction
11.3.4 AKVA Group Revenue in Smart Agriculture Business (2018-2023)
11.3.5 AKVA Group Recent Development
11.4 Robotics Plus
11.4.1 Robotics Plus Company Detail
11.4.2 Robotics Plus Business Overview
11.4.3 Robotics Plus Smart Agriculture Introduction
11.4.4 Robotics Plus Revenue in Smart Agriculture Business (2018-2023)
11.4.5 Robotics Plus Recent Development
11.5 AGCO Corporation
11.5.1 AGCO Corporation Company Detail
11.5.2 AGCO Corporation Business Overview
11.5.3 AGCO Corporation Smart Agriculture Introduction
11.5.4 AGCO Corporation Revenue in Smart Agriculture Business (2018-2023)
11.5.5 AGCO Corporation Recent Development
11.6 GEA Farm Technologies
11.6.1 GEA Farm Technologies Company Detail
11.6.2 GEA Farm Technologies Business Overview
11.6.3 GEA Farm Technologies Smart Agriculture Introduction
11.6.4 GEA Farm Technologies Revenue in Smart Agriculture Business (2018-2023)
11.6.5 GEA Farm Technologies Recent Development
11.7 CropX
11.7.1 CropX Company Detail
11.7.2 CropX Business Overview
11.7.3 CropX Smart Agriculture Introduction
11.7.4 CropX Revenue in Smart Agriculture Business (2018-2023)
11.7.5 CropX Recent Development
11.8 Trimble Inc
11.8.1 Trimble Inc Company Detail
11.8.2 Trimble Inc Business Overview
11.8.3 Trimble Inc Smart Agriculture Introduction
11.8.4 Trimble Inc Revenue in Smart Agriculture Business (2018-2023)
11.8.5 Trimble Inc Recent Development
11.9 Yamaha
11.9.1 Yamaha Company Detail
11.9.2 Yamaha Business Overview
11.9.3 Yamaha Smart Agriculture Introduction
11.9.4 Yamaha Revenue in Smart Agriculture Business (2018-2023)
11.9.5 Yamaha Recent Development
11.10 Lely
11.10.1 Lely Company Detail
11.10.2 Lely Business Overview
11.10.3 Lely Smart Agriculture Introduction
11.10.4 Lely Revenue in Smart Agriculture Business (2018-2023)
11.10.5 Lely Recent Development
11.11 DeLaval
11.11.1 DeLaval Company Detail
11.11.2 DeLaval Business Overview
11.11.3 DeLaval Smart Agriculture Introduction
11.11.4 DeLaval Revenue in Smart Agriculture Business (2018-2023)
11.11.5 DeLaval Recent Development
11.12 YANMAR
11.12.1 YANMAR Company Detail
11.12.2 YANMAR Business Overview
11.12.3 YANMAR Smart Agriculture Introduction
11.12.4 YANMAR Revenue in Smart Agriculture Business (2018-2023)
11.12.5 YANMAR Recent Development
11.13 FarmBot
11.13.1 FarmBot Company Detail
11.13.2 FarmBot Business Overview
11.13.3 FarmBot Smart Agriculture Introduction
11.13.4 FarmBot Revenue in Smart Agriculture Business (2018-2023)
11.13.5 FarmBot Recent Development
11.14 Raven Industries
11.14.1 Raven Industries Company Detail
11.14.2 Raven Industries Business Overview
11.14.3 Raven Industries Smart Agriculture Introduction
11.14.4 Raven Industries Revenue in Smart Agriculture Business (2018-2023)
11.14.5 Raven Industries Recent Development
11.15 AG Leader Technology
11.15.1 AG Leader Technology Company Detail
11.15.2 AG Leader Technology Business Overview
11.15.3 AG Leader Technology Smart Agriculture Introduction
11.15.4 AG Leader Technology Revenue in Smart Agriculture Business (2018-2023)
11.15.5 AG Leader Technology Recent Development
11.16 TOPCON Positioning Systems
11.16.1 TOPCON Positioning Systems Company Detail
11.16.2 TOPCON Positioning Systems Business Overview
11.16.3 TOPCON Positioning Systems Smart Agriculture Introduction
11.16.4 TOPCON Positioning Systems Revenue in Smart Agriculture Business (2018-2023)
11.16.5 TOPCON Positioning Systems Recent Development
11.17 AG Junction
11.17.1 AG Junction Company Detail
11.17.2 AG Junction Business Overview
11.17.3 AG Junction Smart Agriculture Introduction
11.17.4 AG Junction Revenue in Smart Agriculture Business (2018-2023)
11.17.5 AG Junction Recent Development
11.18 Allflex
11.18.1 Allflex Company Detail
11.18.2 Allflex Business Overview
11.18.3 Allflex Smart Agriculture Introduction
11.18.4 Allflex Revenue in Smart Agriculture Business (2018-2023)
11.18.5 Allflex Recent Development
11.19 AeroFarms
11.19.1 AeroFarms Company Detail
11.19.2 AeroFarms Business Overview
11.19.3 AeroFarms Smart Agriculture Introduction
11.19.4 AeroFarms Revenue in Smart Agriculture Business (2018-2023)
11.19.5 AeroFarms Recent Development
11.20 Osram Licht AG
11.20.1 Osram Licht AG Company Detail
11.20.2 Osram Licht AG Business Overview
11.20.3 Osram Licht AG Smart Agriculture Introduction
11.20.4 Osram Licht AG Revenue in Smart Agriculture Business (2018-2023)
11.20.5 Osram Licht AG Recent Development
11.21 XAG
11.21.1 XAG Company Detail
11.21.2 XAG Business Overview
11.21.3 XAG Smart Agriculture Introduction
11.21.4 XAG Revenue in Smart Agriculture Business (2018-2023)
11.21.5 XAG Recent Development
11.22 Kebai Science
11.22.1 Kebai Science Company Detail
11.22.2 Kebai Science Business Overview
11.22.3 Kebai Science Smart Agriculture Introduction
11.22.4 Kebai Science Revenue in Smart Agriculture Business (2018-2023)
11.22.5 Kebai Science Recent Development
11.23 Shenzhen High-tech New Agriculture Technology
11.23.1 Shenzhen High-tech New Agriculture Technology Company Detail
11.23.2 Shenzhen High-tech New Agriculture Technology Business Overview
11.23.3 Shenzhen High-tech New Agriculture Technology Smart Agriculture Introduction
11.23.4 Shenzhen High-tech New Agriculture Technology Revenue in Smart Agriculture Business (2018-2023)
11.23.5 Shenzhen High-tech New Agriculture Technology Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
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
Ìý
Ìý
*If Applicable.