PUBLISHER: QYResearch | PRODUCT CODE: 1872006
PUBLISHER: QYResearch | PRODUCT CODE: 1872006
The global market for Agriscience Hyperspectral Imaging (HSI) was estimated to be worth US$ 21.4 million in 2024 and is forecast to a readjusted size of US$ 62.5 million by 2031 with a CAGR of 16.5% during the forecast period 2025-2031.
Agricultural science hyperspectral imaging (HSI) achieves component analysis, physiological status monitoring, and early warning of pests and diseases for agricultural targets such as crops and soil by acquiring continuous spectra (typically covering the visible light to short-wave infrared band). Its core advantages include:
Non-destructive testing: Key indicators such as chlorophyll content, moisture distribution, and nutritional stress can be analyzed without destroying the sample.
High resolution: It can identify subtle differences that traditional optical technologies cannot distinguish, such as crop varieties and disease severity.
Multi-scenario adaptability: It is suitable for multiple platforms, including handheld ground-based devices, drones, and satellites, covering the entire monitoring chain from the field to remote sensing.
Market Drivers
Policy Support: China's 14th Five-Year Plan for the Development of Agricultural and Rural Informatization explicitly designates HSI as a core technology for smart agriculture; the EU's Green Deal mandates a 50% reduction in pesticide use by 2030, driving the adoption of HSI in precision pest control.
Surge in Demand: Amid global food security pressures, demand for crop health monitoring and yield prediction in precision agriculture has grown by over 20% annually, making HSI a key tool for achieving "on-demand input."
Cost Reduction: The price of domestically produced spectrometers in China has dropped from 500,000 yuan in 2018 to under 100,000 yuan by 2024, driving increased penetration among small and medium-sized farms.
Expanded Application Scenarios
Agricultural Insurance: PICC Property & Casualty uses HSI to assess disaster losses, improving claims processing efficiency by 40%, with coverage exceeding 10 million mu of farmland in 2024.
Carbon sink measurement: HSI is used to monitor vegetation carbon absorption, supporting the development of the agricultural carbon trading market. Pilot projects in China have already covered 500,000 mu of forest land.
Germplasm resource protection: The Chinese Academy of Agricultural Sciences has established spectral fingerprint databases for crops such as wheat and rice using HSI, supporting variety purity identification and stress resistance screening.
This report aims to provide a comprehensive presentation of the global market for Agriscience Hyperspectral Imaging (HSI), focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Agriscience Hyperspectral Imaging (HSI) by region & country, by Type, and by Application.
The Agriscience Hyperspectral Imaging (HSI) 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 Agriscience Hyperspectral Imaging (HSI).
Market Segmentation
By Company
Segment by Type
Segment by Application
By Region
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 Agriscience Hyperspectral Imaging (HSI) 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 Agriscience Hyperspectral Imaging (HSI) 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 Agriscience Hyperspectral Imaging (HSI) 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.