Smart Farming Market
PUBLISHED: 2025 ID: SMRC31425
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Smart Farming Market

Smart Farming Market Forecasts to 2032 – Global Analysis By Offering (Hardware, Software and Services), Farm Type (Large-Scale Farms, Mid-Sized Farms, and Small-Scale Farms), Technology, Application and By Geography

4.2 (86 reviews)
4.2 (86 reviews)
Published: 2025 ID: SMRC31425

Due to ongoing shifts in global trade and tariffs, the market outlook will be refreshed before delivery, including updated forecasts and quantified impact analysis. Recommendations and Conclusions will also be revised to offer strategic guidance for navigating the evolving international landscape.
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According to Stratistics MRC, the Global Smart Farming Market is accounted for $24.05 billion in 2025 and is expected to reach $52.85 billion by 2032 growing at a CAGR of 11.9% during the forecast period. Smart farming uses digital technologies such as IoT, AI, drones, sensors, and data analytics to optimize agricultural operations. It enhances yield prediction, resource efficiency, and real-time monitoring, transforming traditional farming into data-driven enterprises. Growing pressures for higher productivity with minimal environmental impact, coupled with global food security concerns, are accelerating adoption. The market benefits from government initiatives supporting agri-digitalization and rising venture capital in agri-tech startups, making smart farming a key pillar of future agriculture systems.

According to Statista, over 50% of global farmers had adopted at least one smart farming technology by 2024, with $16 billion invested in agri-tech globally.

Market Dynamics:

Driver:

Increasing demand for sustainable agriculture practices

Growing consumer awareness and stringent environmental regulations are compelling the industry to optimize water usage, minimize chemical fertilizers, and reduce its overall carbon footprint. Smart technologies like precision irrigation and data-driven resource management directly address these needs by enabling targeted application, which cuts waste and environmental impact. This alignment with global sustainability goals ensures continued investment and adoption, fundamentally reshaping modern agricultural practices for a more resource-secure future.

Restraint:

Limited technical expertise among farmers

A significant barrier to widespread smart farming adoption is the prevalent technical skills gap among the global farming community. Many farmers, particularly in developing regions and older demographics, lack the training to operate complex digital platforms, IoT devices, and data analytics software. This knowledge deficit leads to apprehension, improper system utilization, and reluctance to invest in advanced technologies. Consequently, the high perceived complexity slows market penetration, creating a pressing need for comprehensive training programs and more intuitive, user-friendly solutions to bridge this digital divide.

Opportunity:

Advancements in AI and IoT for precision farming

Breakthroughs in Artificial Intelligence (AI) and the Internet of Things (IoT) are creating unprecedented opportunities for market expansion. These technologies form the backbone of precision farming, with AI algorithms analyzing vast datasets from sensors and drones to provide actionable insights on crop health, pest prediction, and yield optimization. This enables hyper-localized decision-making, automating tasks and maximizing output from every hectare. The continuous evolution of these technologies promises even greater efficiencies, opening new revenue streams for agri-tech firms and significantly boosting farm productivity and profitability.

Threat:

Cyber security risks in connected farming systems

As farms become more interconnected, they face an escalating threat from cyber security vulnerabilities. Connected irrigation systems, autonomous tractors, and centralized data platforms are potential targets for ransomware, data theft, or malicious control that could disrupt entire operations. A successful attack could lead to catastrophic financial losses from halted production or corrupted data, eroding farmer trust in digital solutions. This looming risk necessitates robust security protocols and could deter adoption, potentially stifling market growth if not addressed proactively by technology providers.

Covid-19 Impact:

The pandemic initially disrupted the smart farming market through supply chain bottlenecks, delaying hardware shipments and installation. Labor shortages also heightened the urgency for automation. However, the crisis ultimately acted as a catalyst, sharply accelerating the long-term adoption of digital tools. Farmers recognized the critical need for remote monitoring and operational resilience, leading to a surge in demand for autonomous and data-driven solutions. This shift in mindset has fast-tracked the market's evolution, embedding smart technologies as essential components for future-proofing the agricultural sector.

The hardware segment is expected to be the largest during the forecast period

The hardware segment is expected to account for the largest market share during the forecast period attributed to the foundational need for physical components to enable digital agriculture. This includes sensors, GPS units, drones, and automated machinery, which represent the essential, upfront capital investment for any smart farming operation. As the initial layer of implementation, hardware demand remains consistently high, especially with the ongoing global rollout of precision agriculture techniques. Furthermore, the continuous innovation in robust and cost-effective devices ensures this segment maintains the largest market share, forming the tangible backbone upon which all software and services rely.

The small-scale farms segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the small-scale farms segment is predicted to witness the highest growth rate driven by the increasing availability of cost-effective, scalable solutions. Technologies such as cloud-based SaaS platforms and modular sensor kits are becoming more accessible, lowering the entry barrier for smaller operations. Governments and NGOs are also actively promoting digitalization among smallholders to enhance food security and income. This convergence of affordable technology and supportive initiatives empowers small-scale farmers to compete effectively, fueling rapid adoption rates and the segment's remarkable projected growth.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share. This leadership is anchored by early technological adoption, strong government support for agri-tech, and the presence of large, commercially-driven farm enterprises with high investment capacity. The region's advanced telecommunications infrastructure and key market players continually introduce cutting-edge solutions. Moreover, high awareness of sustainable practices among farmers creates a receptive environment for precision agriculture tools, consolidating North America's position as the dominant revenue-generating region in the smart farming landscape.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR. This explosive growth is fueled by the pressing need to enhance yields for massive populations, coupled with strong governmental initiatives promoting modern agriculture in countries like India and China. The region contains a vast number of small-scale farmers now gaining access to mobile-based and affordable smart farming technologies. This untapped potential, combined with increasing investments in rural connectivity and agri-tech startups, positions Asia Pacific as the fastest-growing market, poised for significant expansion.

Key players in the market

Some of the key players in Smart Farming Market include Deere & Company (John Deere), CNH Industrial, AGCO Corporation, Kubota Corporation, Trimble Inc., Bayer AG (Crop Science), Corteva Agriscience, Syngenta Group, BASF SE, Yara International, Nutrien Ltd., Netafim (part of Orbia), Valmont Industries (Valley Irrigation), DJI (SZ DJI Technology Co., Ltd.), Robert Bosch GmbH (Bosch), and Lely Group.

Key Developments:

In September 2025, AGCO Corporation a global leader in agricultural machinery and precision ag technology, is showcasing some of the most innovative precision agriculture technology in the industry during its annual Tech Day at the more than century-old Götz Agrardienst farm in Markt Indersdorf, Germany. The program on September 30 – October 1 spotlights Farmer-First innovations that work throughout the crop cycle and across almost any fleet a farmer owns to help increase yields and boost profitability.

In September 2025, At Expo 2025 Osaka, Japanese farm equipment leader Kubota Corporation introduced a global first: the driverless hydrogen fuel cell tractor. This breakthrough combines automation and green hydrogen technology, signaling a new era of sustainable farming technology. For India, an agricultural economy at the heart of global food security, the innovation opens conversations about climate-smart farming, automation, and the future of rural livelihoods.

In September 2023, Trimble announced a definitive agreement to form a joint venture with AGCO to better serve farmers with factory fit and aftermarket applications in the mixed fleet precision agriculture market. Trimble and AGCO’s shared vision is to create a global leader in mixed fleet smart farming and autonomy solutions. In aggregate, Trimble expects approximately $3 billion in value from the transaction from pre-tax cash proceeds, Trimble’s 15 percent stake in the joint venture, and the related commercial agreements.

Offerings Covered:
• Hardware
• Software
• Services

Farm Types Covered:
• Large-Scale Farms
• Mid-Sized Farms
• Small-Scale Farms

Technologies Covered:
• Guidance Technology (GPS/GNSS)
• Remote Sensing & Control
• Variable Rate Technology (VRT)
• Internet of Things (IoT) and Connectivity

Applications Covered:
• Precision Farming
• Livestock Monitoring & Management
• Precision Aquaculture
• Precision Forestry
• Smart Greenhouse Management

Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa

What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements

Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions

3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 Technology Analysis
3.7 Application Analysis
3.8 Emerging Markets
3.9 Impact of Covid-19

4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry

5 Global Smart Farming Market, By Offering
5.1 Introduction
5.2 Hardware
5.2.1 Automation and Control Systems
5.2.2 Sensing and Monitoring Devices
5.3 Software
5.3.1 Local/Web-based
5.3.2 Cloud-based
5.4 Services
5.4.1 Integration & Deployment
5.4.2 Support & Maintenance
5.4.3 Managed Services

6 Global Smart Farming Market, By Farm Type
6.1 Introduction
6.2 Large-Scale Farms
6.3 Mid-Sized Farms
6.4 Small-Scale Farms

7 Global Smart Farming Market, By Technology
7.1 Introduction
7.2 Guidance Technology (GPS/GNSS)
7.3 Remote Sensing & Control
7.4 Variable Rate Technology (VRT)
7.5 Internet of Things (IoT) and Connectivity

8 Global Smart Farming Market, By Application
8.1 Introduction
8.2 Precision Farming
8.3 Livestock Monitoring & Management
8.4 Precision Aquaculture
8.5 Precision Forestry
8.6 Smart Greenhouse Management

9 Global Smart Farming Market, By Geography
9.1 Introduction
9.2 North America
9.2.1 US
9.2.2 Canada
9.2.3 Mexico
9.3 Europe
9.3.1 Germany
9.3.2 UK
9.3.3 Italy
9.3.4 France
9.3.5 Spain
9.3.6 Rest of Europe
9.4 Asia Pacific
9.4.1 Japan
9.4.2 China
9.4.3 India
9.4.4 Australia
9.4.5 New Zealand
9.4.6 South Korea
9.4.7 Rest of Asia Pacific
9.5 South America
9.5.1 Argentina
9.5.2 Brazil
9.5.3 Chile
9.5.4 Rest of South America
9.6 Middle East & Africa
9.6.1 Saudi Arabia
9.6.2 UAE
9.6.3 Qatar
9.6.4 South Africa
9.6.5 Rest of Middle East & Africa

10 Key Developments
10.1 Agreements, Partnerships, Collaborations and Joint Ventures
10.2 Acquisitions & Mergers
10.3 New Product Launch
10.4 Expansions
10.5 Other Key Strategies

11 Company Profiling
11.1 Deere & Company (John Deere)
11.2 CNH Industrial
11.3 AGCO Corporation
11.4 Kubota Corporation
11.5 Trimble Inc.
11.6 Bayer AG (Crop Science)
11.7 Corteva Agriscience
11.8 Syngenta Group
11.9 BASF SE
11.10 Yara International
11.11 Nutrien Ltd.
11.12 Netafim (part of Orbia)
11.13 Valmont Industries (Valley Irrigation)
11.14 DJI (SZ DJI Technology Co., Ltd.)
11.15 Robert Bosch GmbH (Bosch)
11.16 Lely Group

List of Tables
1 Global Smart Farming Market Outlook, By Region (2024-2032) ($MN)
2 Global Smart Farming Market Outlook, By Offering (2024-2032) ($MN)
3 Global Smart Farming Market Outlook, By Hardware (2024-2032) ($MN)
4 Global Smart Farming Market Outlook, By Automation and Control Systems (2024-2032) ($MN)
5 Global Smart Farming Market Outlook, By Sensing and Monitoring Devices (2024-2032) ($MN)
6 Global Smart Farming Market Outlook, By Software (2024-2032) ($MN)
7 Global Smart Farming Market Outlook, By Local/Web-based (2024-2032) ($MN)
8 Global Smart Farming Market Outlook, By Cloud-based (2024-2032) ($MN)
9 Global Smart Farming Market Outlook, By Services (2024-2032) ($MN)
10 Global Smart Farming Market Outlook, By Integration & Deployment (2024-2032) ($MN)
11 Global Smart Farming Market Outlook, By Support & Maintenance (2024-2032) ($MN)
12 Global Smart Farming Market Outlook, By Managed Services (2024-2032) ($MN)
13 Global Smart Farming Market Outlook, By Farm Type (2024-2032) ($MN)
14 Global Smart Farming Market Outlook, By Large-Scale Farms (2024-2032) ($MN)
15 Global Smart Farming Market Outlook, By Mid-Sized Farms (2024-2032) ($MN)
16 Global Smart Farming Market Outlook, By Small-Scale Farms (2024-2032) ($MN)
17 Global Smart Farming Market Outlook, By Technology (2024-2032) ($MN)
18 Global Smart Farming Market Outlook, By Guidance Technology (GPS/GNSS) (2024-2032) ($MN)
19 Global Smart Farming Market Outlook, By Remote Sensing & Control (2024-2032) ($MN)
20 Global Smart Farming Market Outlook, By Variable Rate Technology (VRT) (2024-2032) ($MN)
21 Global Smart Farming Market Outlook, By Internet of Things (IoT) and Connectivity (2024-2032) ($MN)
22 Global Smart Farming Market Outlook, By Application (2024-2032) ($MN)
23 Global Smart Farming Market Outlook, By Precision Farming (2024-2032) ($MN)
24 Global Smart Farming Market Outlook, By Livestock Monitoring & Management (2024-2032) ($MN)
25 Global Smart Farming Market Outlook, By Precision Aquaculture (2024-2032) ($MN)
26 Global Smart Farming Market Outlook, By Precision Forestry (2024-2032) ($MN)
27 Global Smart Farming Market Outlook, By Smart Greenhouse Management (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.

List of Figures

RESEARCH METHODOLOGY


Research Methodology

We at Stratistics opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.

Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.

Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.

Data Mining

The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.

Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.

Data Analysis

From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:

  • Product Lifecycle Analysis
  • Competitor analysis
  • Risk analysis
  • Porters Analysis
  • PESTEL Analysis
  • SWOT Analysis

The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.


Data Validation

The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.

We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.

The data validation involves the primary research from the industry experts belonging to:

  • Leading Companies
  • Suppliers & Distributors
  • Manufacturers
  • Consumers
  • Industry/Strategic Consultants

Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.


For more details about research methodology, kindly write to us at info@strategymrc.com

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