농업 자동화 제어 시스템 시장, 시장 기회, 성장 촉진요인, 산업 동향 분석 및 예측(2024-2032년)

Global Agriculture Automation Control System Market size will witness a 10% CAGR between 2024 and 2032, attributed to the rising adoption of precision agriculture and the integration of advanced technologies. Precision agriculture enhances crop management through precise data and targeted interventions, leading to improved yields and resource efficiency.

Advanced technologies, including AI, robotics, and sensors, are bolstering agricultural practices by offering real-time data and automation. These advancements lead to more precise farming methods, curbing waste and boosting productivity, which in turn propels market growth. For example, in October 2023, Continental unveiled its commitment to sustainable agriculture, showcasing AI-driven systems, autonomous robots, and advanced tire technologies.

These technological strides prioritize sustainability, safety, and efficiency in farming. Such developments underscore the increasing focus on leveraging modern solutions to elevate agricultural productivity and sustainability. As these innovations gain momentum, they are poised to not only spur market growth but also redefine global standards for agricultural automation.

The agriculture automation control system industry categorizes itself based on technology, application, end user, control system, and region.

By 2032, the robotics and automation equipment segment is set for a significant upswing, thanks to its proven ability to boost efficiency and productivity. These technologies simplify labor-heavy tasks like planting and harvesting, diminishing the need for manual labor. Moreover, with advancements in AI and machine learning, operations become more precise, resulting in better crop yields and minimized waste. The rising trend of smart farming and the push for sustainable agricultural solutions solidify this segment's dominant market stance.

The crop monitoring and management segment is poised for substantial traction by 2032, underscoring its pivotal role in maximizing crop health and yield. Cutting-edge tools like IoT sensors and drones deliver real-time insights on soil, weather, and crop conditions, empowering farmers with timely data. This meticulous oversight not only boosts productivity but also curtails resource wastage. As the agricultural sector increasingly leans towards efficient and sustainable practices, the significance of crop monitoring systems is set to amplify.

Asia Pacific market for agriculture automation control systems is on track for significant developments up to 2032, driven by swift tech adoption and rising investments in smart farming. With a vast agricultural landscape and a focus on food security, the region is hungry for automation solutions. Government backing, through initiatives and subsidies, further accelerates the embrace of these advanced technologies. Given Asia Pacific's varied climate and diverse crops, the demand for efficient monitoring systems is pronounced, solidifying the region's pivotal role in the market.

Table of Contents

Chapter 1 Methodology and Scope

• 1.1 Market scope and definition
• 1.2 Base estimates and calculations
• 1.3 Forecast calculation
• 1.4 Data sources
  • 1.4.1 Primary
  • 1.4.2 Secondary
    • 1.4.2.1 Paid sources
    • 1.4.2.2 Public sources

Chapter 2 Executive Summary

• 2.1 Industry 360º synopsis, 2021 - 2032

Chapter 3 Industry Insights

• 3.1 Industry ecosystem analysis
• 3.2 Vendor matrix
• 3.3 Profit margin analysis
• 3.4 Technology and innovation landscape
• 3.5 Patent analysis
• 3.6 Key news and initiatives
• 3.7 Regulatory landscape
• 3.8 Impact forces
  • 3.8.1 Growth drivers
    • 3.8.1.1 Labor shortages and rising labor costs
    • 3.8.1.2 Technological advancements
    • 3.8.1.3 Increased global food demand
    • 3.8.1.4 Sustainable farming practices
    • 3.8.1.5 Government support and incentives
  • 3.8.2 Industry pitfalls and challenges
    • 3.8.2.1 High initial investment costs
    • 3.8.2.2 Technical complexity and maintenance
• 3.9 Growth potential analysis
• 3.10 Porter's analysis
  • 3.10.1 Supplier power
  • 3.10.2 Buyer power
  • 3.10.3 Threat of new entrants
  • 3.10.4 Threat of substitutes
  • 3.10.5 Industry rivalry
• 3.11 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

• 4.1 Introduction
• 4.2 Company market share analysis
• 4.3 Competitive positioning matrix
• 4.4 Strategic outlook matrix

Chapter 5 Market Estimates and Forecast, By Technology, 2021 - 2032 (USD Million)

• 5.1 Key trends
• 5.2 Sensor technologies
• 5.3 Robotics and automation equipment
• 5.4 Connectivity solutions
• 5.5 Data management and analytics platforms
• 5.6 Control systems
• 5.7 Others

Chapter 6 Market Estimates and Forecast, By Application, 2021 - 2032 (USD Million)

• 6.1 Key trends
• 6.2 Crop monitoring and management
• 6.3 Livestock monitoring and management
• 6.4 Soil and field analysis
• 6.5 Climate control and management
• 6.6 Supply chain optimization
• 6.7 Others

Chapter 7 Market Estimates and Forecast, By End User, 2021 - 2032 (USD Million)

• 7.1 Key trends
• 7.2 Crop production
• 7.3 Livestock production

Chapter 8 Market Estimates and Forecast, By Control System, 2021 - 2032 (USD Million)

• 8.1 Key trends
• 8.2 Irrigation controllers
• 8.3 Climate control systems

Chapter 9 Market Estimates and Forecast, By Region, 2021 - 2032 (USD Million)

• 9.1 Key trends
• 9.2 North America
  • 9.2.1 U.S.
  • 9.2.2 Canada
• 9.3 Europe
  • 9.3.1 UK
  • 9.3.2 Germany
  • 9.3.3 France
  • 9.3.4 Italy
  • 9.3.5 Spain
  • 9.3.6 Netherlands
  • 9.3.7 Rest of Europe
• 9.4 Asia Pacific
  • 9.4.1 China
  • 9.4.2 India
  • 9.4.3 Japan
  • 9.4.4 South Korea
  • 9.4.5 ANZ
  • 9.4.6 Singapore
  • 9.4.7 Rest of Asia Pacific
• 9.5 Latin America
  • 9.5.1 Brazil
  • 9.5.2 Mexico
  • 9.5.3 Rest of Latin America
• 9.6 MEA
  • 9.6.1 UAE
  • 9.6.2 Israel
  • 9.6.3 South Africa
  • 9.6.4 Saudi Arabia
  • 9.6.5 Rest of MEA

Chapter 10 Company Profiles

• 10.1 Ag Leader Technology
• 10.2 AGCO Corporation
• 10.3 Bayer AG
• 10.4 Bosch
• 10.5 CLAAS KGaA mbH
• 10.6 CNH Industrial N.V.
• 10.7 CropX Inc.
• 10.8 Deepfield Connect GmbH
• 10.9 Deere and Company
• 10.10 DICKEY-john
• 10.11 DroneDeploy
• 10.12 Ecorobotix SA
• 10.13 Harvest Automation
• 10.14 Harvest CROO Robotics LLC
• 10.15 Kubota Corporation
• 10.16 Raven Industries
• 10.17 Robert Bosch LLC
• 10.18 TOPCON CORPORATION
• 10.19 Trimble Inc.
• 10.20 Valmont Industries, Inc.