The Agricultural AI Industry Research Report analyzes domestic market size data for agricultural AI, factors influencing industry development, market segments, the overview of upstream and downstream industrial chains, and market trends. Structurally, the report delves into the types of agricultural AI products and their application market sales and share ratios, the market performance of core enterprises, and the development overview of major regional markets. Through this research report, all targeted users and stakeholders can accurately understand the current development status and future trends of the agricultural AI market in 2024.
The Agricultural AI Market Research Report indicates that the market size of agricultural AI in China reached RMB 10 billion in 2023, with the global agricultural AI market reaching RMB 12.165 billion. Based on historical trends, current data, and comprehensive research analysis, the report predicts that the global agricultural AI market will reach RMB 48.004 billion by 2029. The annual compound growth rate of the global agricultural AI market is estimated to be 24.81% during the forecast period. The report covers leading companies in the industry such as FarmBot, Autonomous Tractor Corporation, Vision Robotics, Microsoft, IBM, Trace Genomics, DTN, Taranis, Precision Hawk, Resson, Vineview, Gamaya, Cainthus, Agribotix (A AgEagle Company), CropX, Connecterra, The Climate Corporation, aWhere, ec2ce, Granular, Prospera, Harvest Croo, John Deere, Descartes Labs。
The report offers a deep dive into the细分 markets of agricultural artificial intelligence, including trends in product pricing, market sizes for various product categories (both in terms of sales volume and revenue), and downstream application demands, all of which are presented within the report. Additionally, it includes predictions and trend analyses for product categories and application market sizes during the forecast period. Categorized by type, agricultural artificial intelligence can be further divided into software, hardware, and AI services. By end use, agricultural AI can be applied in precision agriculture, drone analysis, livestock monitoring, agricultural robots, and other fields.
Key Participants in the Agricultural Artificial Intelligence Market:
FarmBot
Autonomous Tractor Corporation
Vision Robotics
Microsoft
IBM
Trace Genomics
DTN
Taranis
Precision Hawk
Resson
Vineview
Gamaya
Cainthus
Agribotix (A AgEagle Company)
CropX
Connecterra
The Climate Corporation
aWhere
ec2ce
Granular
Prospera
Harvest Croo
John Deere
Descartes Labs
China's Agricultural Artificial Intelligence Market: Type Segmentation
Software
Hardware
Artificial Intelligence Services
China's Agricultural Artificial Intelligence Market: Application Segmentation
High-quality agriculture
Drone Analysis
Livestock Monitoring
Agricultural Robotics
Others
In the regional aspect, the agricultural AI market report conducts an in-depth investigation and discussion on the North, Central, South, and East China regions, providing a detailed analysis of the market, major types, and terminal application patterns in each area. This report will give the target customers a clear understanding of the industry landscape of agricultural AI in various regions of China.
The general content of each chapter in the Agricultural Artificial Intelligence Research Report is as follows (comprising fifteen chapters):
Chapter 1: Overview of the Agricultural AI Market, Development History, Introduction to Sub-sectors, and Market Size & Growth Rate Analysis in Different Regions of China
Chapter 2: Industry Development Environment Analysis, Current Market Competition at Home and Abroad, Existing Issues in the Market and Countermeasures, Analysis of Influencing Factors
Chapter 3: Analysis of the Upstream and Downstream Industry Chains in the Agricultural AI Sector
Chapter 4: Analysis of Agricultural AI Sub-segments (Main Supplier Product Types, Competitive Landscape, and Market Sales and Volume Analysis for Each Type)
Chapter 5: Agricultural AI Market End-User Analysis (Downstream Clients, Competitive Landscape, Market Potential, and Market Size Analysis)
Chapter 6: Analysis of Agricultural AI Production, Output Value, Sales Volume, and Sales Value in Main Chinese Regions
Chapter 7 to Chapter 10: Analyze the main types and application patterns of agricultural artificial intelligence in the North China, Central China, South China, and East China regions in sequence.
Chapter 11 & 12: Forecast analysis of sales volume, sales revenue, and market share for the main types of agricultural AI markets and terminal application fields in China.
Chapter 13: Analyzes the import and export trade of the Chinese agricultural AI market, and lists the main importing and exporting countries of agricultural AI products in China.
Chapter 14: Introduces the current development status of *Lead Enterprise, covering company profile, recent developments, market performance, as well as products and services.
Chapter 15: Research Conclusions, Development Strategies, Suggested Directions and Methods.
Data in the Agricultural Artificial Intelligence Research Report is primarily presented in the form of charts and textual analysis. The main contents covered in the report include:
Agri-AI Domestic Market Size Estimation: Includes statistics on agricultural AI market data from the past five years, as well as forecasts for the market size and growth rate of agricultural AI from 2024 to 2030.
Market Analysis of Agricultural Artificial Intelligence: Covers industry development environment, market demand, supply, competitive landscape, consumer behavior, etc. Reveals market dynamics and trends through data analysis and case studies.
Industry Chain and Market Segmentation Analysis: Includes an analysis of the current development status and trend predictions for upstream and downstream markets; pricing, sales volume, market share, and growth trends of various agricultural AI products; as well as consumption scale, market share, and growth rate in major application areas of agricultural AI.
Market Analysis of Agricultural AI Competition: The report focuses on the general development of major enterprises, product specifications, pricing, sales volume, revenue, and market share of agricultural AI in the Chinese market.
