Global Agriculture 4.0 Market Size Study, by Component (Hardware, Software, Services), by Application, by End-use (Agro-forestry, Livestock, Fishing, Aquaculture), and Regional Forecasts 2022-2032

February 2025 | 285 pages | ID: G5FF3C320F94EN
Bizwit Research & Consulting LLP

Abstracts

The Global Agriculture 4.0 Market, valued at approximately USD 67.73 billion in 2023, is projected to expand at a compound annual growth rate (CAGR) of 11.6% from 2024 to 2032. The emergence of Agriculture 4.0, driven by the convergence of AI, IoT, robotics, big data analytics, and precision farming, is transforming the agribusiness landscape. With the escalating demand for higher agricultural productivity, sustainable resource utilization, and climate-resilient farming techniques, the industry is undergoing a technological shift that promises enhanced yield optimization, automated irrigation, and predictive analytics for farm management. The integration of autonomous machinery, smart sensors, and blockchain-powered supply chain solutions is redefining the sector, enabling farmers to make data-driven decisions, mitigate risks, and improve efficiency at an unprecedented scale.

The surge in global food demand, coupled with the increasing adoption of smart farming practices, has positioned Agriculture 4.0 as a game-changer in modern agronomy. With governments and agribusinesses investing heavily in digital farming ecosystems, technologies such as AI-driven crop monitoring, remote sensing, and automated harvesting are streamlining resource allocation and reducing operational costs. Additionally, climate variability, soil degradation, and water scarcity are pushing agricultural enterprises toward precision farming solutions that leverage real-time analytics, satellite imaging, and drone-assisted field monitoring to optimize land usage and productivity.

Despite its promising trajectory, the market faces challenges related to high deployment costs, limited technological awareness among small-scale farmers, and concerns over data security in agricultural IoT networks. The fragmented nature of global farmlands, coupled with regulatory barriers in AI-based agritech adoption, continues to pose hurdles to widespread commercialization. However, industry collaborations, government-led smart agriculture initiatives, and advancements in agro-fintech solutions are expected to bridge the digital divide and expand market accessibility across both developed and emerging economies.

North America and Europe lead the Agriculture 4.0 market, with the United States, Canada, Germany, and the Netherlands spearheading investments in precision farming technologies and AI-powered agribusiness solutions. Meanwhile, the Asia-Pacific (APAC) region is witnessing the fastest growth, fueled by rising agritech adoption in India, China, and Australia. Government-backed policies promoting smart farming, rural digitization, and sustainable agriculture practices are expected to accelerate AI-driven agribusiness transformations across key regional markets. In Latin America and Africa, emerging agricultural automation trends and AI-based climate adaptation strategies are unlocking new opportunities for market expansion.

Major Market Players Included in This Report:

• John Deere
• Trimble Inc.
• AGCO Corporation
• CNH Industrial N.V.
• BASF SE
• Syngenta AG
• IBM Corporation
• Bayer CropScience
• Raven Industries, Inc.
• AG Leader Technology
• Kubota Corporation
• PrecisionHawk Inc.
• Topcon Positioning Systems, Inc.
• Yara International ASA
• AeroFarms

The Detailed Segments and Sub-Segments of the Market Are Explained Below:

By Component:

• Hardware
• Software
• Services

By Application:

• Precision Farming
• Smart Irrigation
• AI-Based Yield Optimization
• Remote Sensing and Monitoring
• Automated Machinery and Robotics
• Others

By End-Use:

• Agro-forestry
• Livestock
• Fishing
• Aquaculture

By Region:

North America:

• U.S.
• Canada

Europe:

• UK
• Germany
• France
• Spain
• Italy
• Rest of Europe

Asia Pacific:

• China
• India
• Japan
• Australia
• South Korea
• Rest of Asia Pacific

Latin America:

• Brazil
• Mexico
• Rest of Latin America

Middle East & Africa:

• Saudi Arabia
• South Africa
• Rest of Middle East & Africa

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Key Takeaways:

• Market estimates and forecasts for 10 years (2022-2032).
• Annualized revenue projections and regional-level analysis for each market segment.
• Comprehensive insights into geographical trends, including country-level market forecasts.
• Competitive landscape assessment, highlighting market share, strategic developments, and key investments of industry players.
• Evaluation of emerging agritech trends, AI-driven precision farming solutions, and sustainable agricultural innovations.
• Demand-side and supply-side analysis, assessing investment potential and growth opportunities in the Agriculture 4.0 sector

Contents

CHAPTER 1. GLOBAL AGRICULTURE 4.0 MARKET EXECUTIVE SUMMARY

1.1. Global Agriculture 4.0 Market Size & Forecast (2022-2032)
1.2. Regional Summary
1.3. Segmental Summary
  1.3.1. By Component
  1.3.2. By Application
  1.3.3. By End-use
1.4. Key Trends
1.5. Recession Impact
1.6. Analyst Recommendation & Conclusion

CHAPTER 2. GLOBAL AGRICULTURE 4.0 MARKET DEFINITION AND RESEARCH ASSUMPTIONS

2.1. Research Objective
2.2. Market Definition
2.3. Research Assumptions
  2.3.1. Inclusion & Exclusion
  2.3.2. Limitations
  2.3.3. Supply Side Analysis
    2.3.3.1. Availability
    2.3.3.2. Infrastructure
    2.3.3.3. Regulatory Environment
    2.3.3.4. Market Competition
    2.3.3.5. Economic Viability (Consumer’s Perspective)
  2.3.4. Demand Side Analysis
    2.3.4.1. Regulatory Frameworks
    2.3.4.2. Technological Advancements
    2.3.4.3. Environmental Considerations
    2.3.4.4. Consumer Awareness & Acceptance
2.4. Estimation Methodology
2.5. Years Considered for the Study
2.6. Currency Conversion Rates

CHAPTER 3. GLOBAL AGRICULTURE 4.0 MARKET DYNAMICS

3.1. Market Drivers
  3.1.1. Convergence of AI, IoT, Robotics, Big Data Analytics and Precision Farming
  3.1.2. Rising Demand for Sustainable and Climate-Resilient Agricultural Practices
  3.1.3. Government and Private Sector Investments in Digital Farming Ecosystems
3.2. Market Challenges
  3.2.1. High Deployment Costs and Technological Barriers
  3.2.2. Limited Technological Awareness among Small-Scale Farmers
3.3. Market Opportunities
  3.3.1. Expansion of Smart Farming Practices and Agro-Fintech Innovations
  3.3.2. Integration of Advanced Technologies to Optimize Farm Productivity
  3.3.3. Government-Led Initiatives Promoting Sustainable Agriculture

CHAPTER 4. GLOBAL AGRICULTURE 4.0 MARKET INDUSTRY ANALYSIS

4.1. Porter’s 5 Force Model
  4.1.1. Bargaining Power of Suppliers
  4.1.2. Bargaining Power of Buyers
  4.1.3. Threat of New Entrants
  4.1.4. Threat of Substitutes
  4.1.5. Competitive Rivalry
  4.1.6. Futuristic Approach to Porter’s 5 Force Model
  4.1.7. Porter’s 5 Force Impact Analysis
4.2. PESTEL Analysis
  4.2.1. Political
  4.2.2. Economical
  4.2.3. Social
  4.2.4. Technological
  4.2.5. Environmental
  4.2.6. Legal
4.3. Top Investment Opportunity
4.4. Top Winning Strategies
4.5. Disruptive Trends
4.6. Industry Expert Perspective
4.7. Analyst Recommendation & Conclusion

CHAPTER 5. GLOBAL AGRICULTURE 4.0 MARKET SIZE & FORECASTS BY COMPONENT 2022-2032

5.1. Segment Dashboard
5.2. Global Agriculture 4.0 Market: Component Revenue Trend Analysis, 2022 & 2032 (USD Billion)
  5.2.1. Hardware
  5.2.2. Software
  5.2.3. Services

CHAPTER 6. GLOBAL AGRICULTURE 4.0 MARKET SIZE & FORECASTS BY APPLICATION 2022-2032

6.1. Segment Dashboard
6.2. Global Agriculture 4.0 Market: Application Revenue Trend Analysis, 2022 & 2032 (USD Billion)
  6.2.1. Precision Farming
  6.2.2. Smart Irrigation
  6.2.3. AI-Based Yield Optimization
  6.2.4. Remote Sensing and Monitoring
  6.2.5. Automated Machinery and Robotics
  6.2.6. Others

CHAPTER 7. GLOBAL AGRICULTURE 4.0 MARKET SIZE & FORECASTS BY END-USE 2022-2032

7.1. Segment Dashboard
7.2. Global Agriculture 4.0 Market: End-use Revenue Trend Analysis, 2022 & 2032 (USD Billion)
  7.2.1. Agro-forestry
  7.2.2. Livestock
  7.2.3. Fishing
  7.2.4. Aquaculture

CHAPTER 8. GLOBAL AGRICULTURE 4.0 MARKET SIZE & FORECASTS BY REGION 2022-2032

8.1. North America Agriculture 4.0 Market
  8.1.1. U.S. Agriculture 4.0 Market
    8.1.1.1. Component Breakdown & Forecasts, 2022-2032
    8.1.1.2. End-use Breakdown & Forecasts, 2022-2032
  8.1.2. Canada Agriculture 4.0 Market
8.2. Europe Agriculture 4.0 Market
  8.2.1. UK Agriculture 4.0 Market
  8.2.2. Germany Agriculture 4.0 Market
  8.2.3. France Agriculture 4.0 Market
  8.2.4. Spain Agriculture 4.0 Market
  8.2.5. Italy Agriculture 4.0 Market
  8.2.6. Rest of Europe Agriculture 4.0 Market
8.3. Asia-Pacific Agriculture 4.0 Market
  8.3.1. China Agriculture 4.0 Market
  8.3.2. India Agriculture 4.0 Market
  8.3.3. Japan Agriculture 4.0 Market
  8.3.4. Australia Agriculture 4.0 Market
  8.3.5. South Korea Agriculture 4.0 Market
  8.3.6. Rest of Asia-Pacific Agriculture 4.0 Market
8.4. Latin America Agriculture 4.0 Market
  8.4.1. Brazil Agriculture 4.0 Market
  8.4.2. Mexico Agriculture 4.0 Market
  8.4.3. Rest of Latin America Agriculture 4.0 Market
8.5. Middle East & Africa Agriculture 4.0 Market
  8.5.1. Saudi Arabia Agriculture 4.0 Market
  8.5.2. South Africa Agriculture 4.0 Market
  8.5.3. Rest of Middle East & Africa Agriculture 4.0 Market

CHAPTER 9. COMPETITIVE INTELLIGENCE

9.1. Key Company SWOT Analysis
  9.1.1. John Deere
  9.1.2. Trimble Inc.
  9.1.3. AGCO Corporation
9.2. Top Market Strategies
9.3. Company Profiles
  9.3.1. John Deere
    9.3.1.1. Key Information
    9.3.1.2. Overview
    9.3.1.3. Financial (Subject to Data Availability)
    9.3.1.4. Product Summary
    9.3.1.5. Market Strategies
  9.3.2. CNH Industrial N.V.
  9.3.3. BASF SE
  9.3.4. Syngenta AG
  9.3.5. IBM Corporation
  9.3.6. Bayer CropScience
  9.3.7. Raven Industries, Inc.
  9.3.8. AG Leader Technology
  9.3.9. Kubota Corporation
  9.3.10. PrecisionHawk Inc.
  9.3.11. Topcon Positioning Systems, Inc.
  9.3.12. Yara International ASA
  9.3.13. AeroFarms

CHAPTER 10. RESEARCH PROCESS

10.1. Research Process
  10.1.1. Data Mining
  10.1.2. Analysis
  10.1.3. Market Estimation
  10.1.4. Validation
  10.1.5. Publishing
10.2. Research Attributes