The Market Reports

Synopsis
The global market for Imaging Technology for Precision Agriculture was estimated to be worth US$ 94.1 million in 2024 and is forecast to a readjusted size of US$ 210 million by 2031 with a CAGR of 12.3% during the forecast period 2025-2031.
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, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Imaging Technology for Precision Agriculture by region & country, by Type, and by Application.
The Imaging Technology for Precision Agriculture market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. 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.
Market Segmentation
By Company
Corning（NovaSol）
IMEC
Headwall Photonics
Specim
Teledyne Dalsa
Cubert
Resonon
TruTag（HinaLea Imaging）
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-Pacific
Europe
Germany
France
U.K.
Italy
Netherlands
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, 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 Imaging Technology for Precision Agriculture company 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 Imaging Technology for Precision 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 Imaging Technology for Precision 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.

Index