The global market for Imaging Technology for Precision Agriculture was valued at US$ 94.1 million in the year 2024 and is projected to reach a revised size of US$ 210 million by 2031, growing at a CAGR of 12.3% during the forecast period.
Precision agricultural imaging technology refers to the use of advanced imaging equipment and technology to collect and analyze high-resolution, multi-band images of farmland, crops and vegetation to achieve precise management and monitoring of agricultural production. These imaging technologies mainly include multispectral and hyperspectral imaging, which provide comprehensive and quantitative information for agricultural production, helping farmers and agricultural professionals make scientific decisions and improve crop yields, quality and sustainability.
Precision agricultural imaging technology is an advanced technology that optimizes agricultural production by using high-tech imaging methods. It combines multidisciplinary technologies such as remote sensing, image processing, and artificial intelligence to provide data support and decision-making basis for agricultural production. In recent years, with the acceleration of agricultural modernization, precision agricultural imaging technology has gradually become an important tool in the agricultural field and is widely used in soil testing, crop growth monitoring, pest and disease prediction, climate change analysis, etc. Through satellite remote sensing, drones, unmanned vehicles and other equipment, agricultural producers can obtain more accurate agricultural data, thereby achieving precise fertilization, precision irrigation, precision spraying and other operations, greatly improving resource utilization efficiency and agricultural output.
At present, the precision agricultural imaging technology market is showing a booming trend. The scale of the global precision agriculture market is growing rapidly and is expected to continue to expand in the next few years. Especially in developed countries and regions, agricultural producers are increasingly relying on scientific and technological means to improve production efficiency and product quality. In these areas, the application of drone imaging technology is relatively common, helping agricultural workers to accurately monitor crop health, soil conditions, etc., and then optimize production management plans. In addition, the combination of artificial intelligence and big data technologies has made farm management more intelligent. Data analysis and predictive models can help agricultural decision makers better understand soil fertility, crop disease development, etc., thereby reducing the use of pesticides and chemical fertilizers and reducing environmental pollution.
Global key players of Imaging Technology for Precision Agriculture include Corning (NovaSol), IMEC, Headwall Photonics, Specim, Teledyne Dalsa, etc. The top five players hold a share about 41%. North America is the largest market, and has a share about 47%, followed by Europe and China with share 21% and 15%, separately. In terms of product type, Multispectral technology is the largest segment, occupied for a share of 43%. In terms of application, Farm has a share about 79 percent.
This report aims to provide a comprehensive presentation of the global market for Imaging Technology for Precision 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 Imaging Technology for Precision Agriculture.
The Imaging Technology for Precision Agriculture market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. This report segments the global Imaging Technology for Precision 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 Imaging Technology for Precision 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.
麻豆原创 Segmentation
By Company
颁辞谤苍颈苍驳锛圢辞惫补厂辞濒锛�
IMEC
Headwall Photonics
Specim
Teledyne Dalsa
Cubert
Resonon
TruTag锛圚inaLea Imaging锛�
Surface Optics
Zolix
Ximea
Changguang Yuchen
Bayspec
Salvo Coatings
Laisen Optics
Norsk Elektro Optikk
ITRES
Wayho Technology
Segment by Type
Multispectral Technology
Hyperspectral Technology
Others
Segment by Application
Farm
Research Institution
Others
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by 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 Imaging Technology for Precision Agriculture company 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 main companies in the market in detail, including product sales, revenue, price, 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 麻豆原创 Analysis by Type
1.2.1 Global Imaging Technology for Precision Agriculture 麻豆原创 Size Growth Rate by Type: 2020 VS 2024 VS 2031
1.2.2 Multispectral Technology
1.2.3 Hyperspectral Technology
1.2.4 Others
1.3 麻豆原创 by Application
1.3.1 Global Imaging Technology for Precision Agriculture 麻豆原创 Growth by Application: 2020 VS 2024 VS 2031
1.3.2 Farm
1.3.3 Research Institution
1.3.4 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Imaging Technology for Precision Agriculture 麻豆原创 Perspective (2020-2031)
2.2 Global Imaging Technology for Precision Agriculture Growth Trends by Region
2.2.1 Global Imaging Technology for Precision Agriculture 麻豆原创 Size by Region: 2020 VS 2024 VS 2031
2.2.2 Imaging Technology for Precision Agriculture Historic 麻豆原创 Size by Region (2020-2025)
2.2.3 Imaging Technology for Precision Agriculture Forecasted 麻豆原创 Size by Region (2026-2031)
2.3 Imaging Technology for Precision Agriculture 麻豆原创 Dynamics
2.3.1 Imaging Technology for Precision Agriculture Industry Trends
2.3.2 Imaging Technology for Precision Agriculture 麻豆原创 Drivers
2.3.3 Imaging Technology for Precision Agriculture 麻豆原创 Challenges
2.3.4 Imaging Technology for Precision Agriculture 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Top Imaging Technology for Precision Agriculture Players by Revenue
3.1.1 Global Top Imaging Technology for Precision Agriculture Players by Revenue (2020-2025)
3.1.2 Global Imaging Technology for Precision Agriculture Revenue 麻豆原创 Share by Players (2020-2025)
3.2 Global Top Imaging Technology for Precision Agriculture Players by Company Type and 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Imaging Technology for Precision Agriculture Revenue
3.4 Global Imaging Technology for Precision Agriculture 麻豆原创 Concentration Ratio
3.4.1 Global Imaging Technology for Precision Agriculture 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Imaging Technology for Precision Agriculture Revenue in 2024
3.5 Global Key Players of Imaging Technology for Precision Agriculture Head office and Area Served
3.6 Global Key Players of Imaging Technology for Precision Agriculture, Product and Application
3.7 Global Key Players of Imaging Technology for Precision Agriculture, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Imaging Technology for Precision Agriculture Breakdown Data by Type
4.1 Global Imaging Technology for Precision Agriculture Historic 麻豆原创 Size by Type (2020-2025)
4.2 Global Imaging Technology for Precision Agriculture Forecasted 麻豆原创 Size by Type (2026-2031)
5 Imaging Technology for Precision Agriculture Breakdown Data by Application
5.1 Global Imaging Technology for Precision Agriculture Historic 麻豆原创 Size by Application (2020-2025)
5.2 Global Imaging Technology for Precision Agriculture Forecasted 麻豆原创 Size by Application (2026-2031)
6 North America
6.1 North America Imaging Technology for Precision Agriculture 麻豆原创 Size (2020-2031)
6.2 North America Imaging Technology for Precision Agriculture 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
6.3 North America Imaging Technology for Precision Agriculture 麻豆原创 Size by Country (2020-2025)
6.4 North America Imaging Technology for Precision Agriculture 麻豆原创 Size by Country (2026-2031)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Imaging Technology for Precision Agriculture 麻豆原创 Size (2020-2031)
7.2 Europe Imaging Technology for Precision Agriculture 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
7.3 Europe Imaging Technology for Precision Agriculture 麻豆原创 Size by Country (2020-2025)
7.4 Europe Imaging Technology for Precision Agriculture 麻豆原创 Size by Country (2026-2031)
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 Imaging Technology for Precision Agriculture 麻豆原创 Size (2020-2031)
8.2 Asia-Pacific Imaging Technology for Precision Agriculture 麻豆原创 Growth Rate by Region: 2020 VS 2024 VS 2031
8.3 Asia-Pacific Imaging Technology for Precision Agriculture 麻豆原创 Size by Region (2020-2025)
8.4 Asia-Pacific Imaging Technology for Precision Agriculture 麻豆原创 Size by Region (2026-2031)
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 Imaging Technology for Precision Agriculture 麻豆原创 Size (2020-2031)
9.2 Latin America Imaging Technology for Precision Agriculture 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
9.3 Latin America Imaging Technology for Precision Agriculture 麻豆原创 Size by Country (2020-2025)
9.4 Latin America Imaging Technology for Precision Agriculture 麻豆原创 Size by Country (2026-2031)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Imaging Technology for Precision Agriculture 麻豆原创 Size (2020-2031)
10.2 Middle East & Africa Imaging Technology for Precision Agriculture 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
10.3 Middle East & Africa Imaging Technology for Precision Agriculture 麻豆原创 Size by Country (2020-2025)
10.4 Middle East & Africa Imaging Technology for Precision Agriculture 麻豆原创 Size by Country (2026-2031)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 颁辞谤苍颈苍驳锛圢辞惫补厂辞濒锛�
11.1.1 颁辞谤苍颈苍驳锛圢辞惫补厂辞濒锛� Company Details
11.1.2 颁辞谤苍颈苍驳锛圢辞惫补厂辞濒锛� Business Overview
11.1.3 颁辞谤苍颈苍驳锛圢辞惫补厂辞濒锛� Imaging Technology for Precision Agriculture Introduction
11.1.4 颁辞谤苍颈苍驳锛圢辞惫补厂辞濒锛� Revenue in Imaging Technology for Precision Agriculture Business (2020-2025)
11.1.5 颁辞谤苍颈苍驳锛圢辞惫补厂辞濒锛� Recent Development
11.2 IMEC
11.2.1 IMEC Company Details
11.2.2 IMEC Business Overview
11.2.3 IMEC Imaging Technology for Precision Agriculture Introduction
11.2.4 IMEC Revenue in Imaging Technology for Precision Agriculture Business (2020-2025)
11.2.5 IMEC Recent Development
11.3 Headwall Photonics
11.3.1 Headwall Photonics Company Details
11.3.2 Headwall Photonics Business Overview
11.3.3 Headwall Photonics Imaging Technology for Precision Agriculture Introduction
11.3.4 Headwall Photonics Revenue in Imaging Technology for Precision Agriculture Business (2020-2025)
11.3.5 Headwall Photonics Recent Development
11.4 Specim
11.4.1 Specim Company Details
11.4.2 Specim Business Overview
11.4.3 Specim Imaging Technology for Precision Agriculture Introduction
11.4.4 Specim Revenue in Imaging Technology for Precision Agriculture Business (2020-2025)
11.4.5 Specim Recent Development
11.5 Teledyne Dalsa
11.5.1 Teledyne Dalsa Company Details
11.5.2 Teledyne Dalsa Business Overview
11.5.3 Teledyne Dalsa Imaging Technology for Precision Agriculture Introduction
11.5.4 Teledyne Dalsa Revenue in Imaging Technology for Precision Agriculture Business (2020-2025)
11.5.5 Teledyne Dalsa Recent Development
11.6 Cubert
11.6.1 Cubert Company Details
11.6.2 Cubert Business Overview
11.6.3 Cubert Imaging Technology for Precision Agriculture Introduction
11.6.4 Cubert Revenue in Imaging Technology for Precision Agriculture Business (2020-2025)
11.6.5 Cubert Recent Development
11.7 Resonon
11.7.1 Resonon Company Details
11.7.2 Resonon Business Overview
11.7.3 Resonon Imaging Technology for Precision Agriculture Introduction
11.7.4 Resonon Revenue in Imaging Technology for Precision Agriculture Business (2020-2025)
11.7.5 Resonon Recent Development
11.8 TruTag锛圚inaLea Imaging锛�
11.8.1 TruTag锛圚inaLea Imaging锛� Company Details
11.8.2 TruTag锛圚inaLea Imaging锛� Business Overview
11.8.3 TruTag锛圚inaLea Imaging锛� Imaging Technology for Precision Agriculture Introduction
11.8.4 TruTag锛圚inaLea Imaging锛� Revenue in Imaging Technology for Precision Agriculture Business (2020-2025)
11.8.5 TruTag锛圚inaLea Imaging锛� Recent Development
11.9 Surface Optics
11.9.1 Surface Optics Company Details
11.9.2 Surface Optics Business Overview
11.9.3 Surface Optics Imaging Technology for Precision Agriculture Introduction
11.9.4 Surface Optics Revenue in Imaging Technology for Precision Agriculture Business (2020-2025)
11.9.5 Surface Optics Recent Development
11.10 Zolix
11.10.1 Zolix Company Details
11.10.2 Zolix Business Overview
11.10.3 Zolix Imaging Technology for Precision Agriculture Introduction
11.10.4 Zolix Revenue in Imaging Technology for Precision Agriculture Business (2020-2025)
11.10.5 Zolix Recent Development
11.11 Ximea
11.11.1 Ximea Company Details
11.11.2 Ximea Business Overview
11.11.3 Ximea Imaging Technology for Precision Agriculture Introduction
11.11.4 Ximea Revenue in Imaging Technology for Precision Agriculture Business (2020-2025)
11.11.5 Ximea Recent Development
11.12 Changguang Yuchen
11.12.1 Changguang Yuchen Company Details
11.12.2 Changguang Yuchen Business Overview
11.12.3 Changguang Yuchen Imaging Technology for Precision Agriculture Introduction
11.12.4 Changguang Yuchen Revenue in Imaging Technology for Precision Agriculture Business (2020-2025)
11.12.5 Changguang Yuchen Recent Development
11.13 Bayspec
11.13.1 Bayspec Company Details
11.13.2 Bayspec Business Overview
11.13.3 Bayspec Imaging Technology for Precision Agriculture Introduction
11.13.4 Bayspec Revenue in Imaging Technology for Precision Agriculture Business (2020-2025)
11.13.5 Bayspec Recent Development
11.14 Salvo Coatings
11.14.1 Salvo Coatings Company Details
11.14.2 Salvo Coatings Business Overview
11.14.3 Salvo Coatings Imaging Technology for Precision Agriculture Introduction
11.14.4 Salvo Coatings Revenue in Imaging Technology for Precision Agriculture Business (2020-2025)
11.14.5 Salvo Coatings Recent Development
11.15 Laisen Optics
11.15.1 Laisen Optics Company Details
11.15.2 Laisen Optics Business Overview
11.15.3 Laisen Optics Imaging Technology for Precision Agriculture Introduction
11.15.4 Laisen Optics Revenue in Imaging Technology for Precision Agriculture Business (2020-2025)
11.15.5 Laisen Optics Recent Development
11.16 Norsk Elektro Optikk
11.16.1 Norsk Elektro Optikk Company Details
11.16.2 Norsk Elektro Optikk Business Overview
11.16.3 Norsk Elektro Optikk Imaging Technology for Precision Agriculture Introduction
11.16.4 Norsk Elektro Optikk Revenue in Imaging Technology for Precision Agriculture Business (2020-2025)
11.16.5 Norsk Elektro Optikk Recent Development
11.17 ITRES
11.17.1 ITRES Company Details
11.17.2 ITRES Business Overview
11.17.3 ITRES Imaging Technology for Precision Agriculture Introduction
11.17.4 ITRES Revenue in Imaging Technology for Precision Agriculture Business (2020-2025)
11.17.5 ITRES Recent Development
11.18 Wayho Technology
11.18.1 Wayho Technology Company Details
11.18.2 Wayho Technology Business Overview
11.18.3 Wayho Technology Imaging Technology for Precision Agriculture Introduction
11.18.4 Wayho Technology Revenue in Imaging Technology for Precision Agriculture Business (2020-2025)
11.18.5 Wayho Technology Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 麻豆原创 Size Estimation
13.1.1.3 麻豆原创 Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer
颁辞谤苍颈苍驳锛圢辞惫补厂辞濒锛�
IMEC
Headwall Photonics
Specim
Teledyne Dalsa
Cubert
Resonon
TruTag锛圚inaLea Imaging锛�
Surface Optics
Zolix
Ximea
Changguang Yuchen
Bayspec
Salvo Coatings
Laisen Optics
Norsk Elektro Optikk
ITRES
Wayho Technology
听
听
*If Applicable.
