Smart Farming Market Size, Share and Growth Analysis 2026 to 2035
Share With :
Global Smart Farming Market Size is valued at USD 28.92 Billion in 2025 and is predicted to reach USD 113.74 Billion by the year 2035 at a 14.80% CAGR during the forecast period for 2026 to 2035.
Smart Farming Market Size, Share & Trends Analysis Report By Application (Precision Farming, Livestock Monitoring & Management, Aquaculture) And Product Type (Hardware, Software, And Services), By Region, And Segment Forecasts, 2026 to 2035.
Smart farming is described as the use of one or more technologies in the farming process to increase efficiency and effectiveness. It is a cutting-edge and revolutionary method of farming that maximizes output while minimizing human work. Advancing technology comprises the application of hardware, services, and software to the farming process. Irrigation management, agricultural scouting, harvesting, sowing, and many other applications are included in the technology.
Smart farming is becoming increasingly used worldwide since it increases the yield per unit of farmed land to obtain the best quantity, quality, and financial returns. The technology aids in better decision-making, minimizes waste and increases operational efficiency. One of the primary factors driving the smart farming market growth is the incorporation of current technologies such as variable rate technology (VRT), data management software, mapping software, yield mapping software, and GPS in agricultural products. These methods increase land fertility and profitability, increase productivity, lower farming costs, and promote sustainable agriculture.
However, the high cost of developing modern agricultural equipment and the fragmented agriculture business is projected to hinder smart farming market expansion. Management of enormous amounts of data for effective decision-making, as well as environmental considerations.
The smart farming market is segmented on the basis of application and product type. Based on application, the market is categorized as precision farming, livestock monitoring & management, aquaculture, and others. By product, the market is segmented into hardware, software, and services.
The livestock monitoring category is expected to hold a significant share of the global Smart Farming Market in 2021. Precision livestock monitoring enables real-time livestock health, output, and welfare monitoring to ensure optimal yields. Factors such as expanding dairy farm size and rising technical breakthroughs, such as precision livestock monitoring, have pushed market participants to focus on new product launches and significant cost reductions related to livestock monitoring management.
The hardware segment is projected to develop at a rapid rate in the global Smart Farming Market. The factors can be linked to dairy farmers' increased deployment of IoT- and AI-driven livestock monitoring systems, as well as their increased acceptance of new technologies and current smart agricultural gadgets.
The North American smart farming market is expected to register the highest market share in terms of revenue in the near future. Increasing government initiatives and regulations to improve the region's agriculture business is predicted to fuel regional demand in North America over the forecast period. Many agricultural organizations have joined forces to form the North America Climate Smart Agriculture Alliance (NACSAA), a platform for teaching and equipping farmers for long-term agricultural productivity.
With increased concern for water conservation, governments in North America are aggressively providing incentives to expand the use of smart irrigation. For example, the state of California has offered a rebate on smart controllers. The Asia Pacific region is expected to rise the most during the forecast period. Although smart farming is still in its early stages in this region, rising government backing and cultivator awareness are likely to fuel regional demand during the projection period.
| Report Attribute | Specifications |
| Market size value in 2025 | USD 28.92 Billion |
| Revenue forecast in 2035 | USD 113.74 Billion |
| Growth rate CAGR | CAGR of 14.80% from 2026 to 2035 |
| Quantitative units | Representation of revenue in US$ Billion, and CAGR from 2026 to 2035 |
| Historic Year | 2022 to 2025 |
| Forecast Year | 2026-2035 |
| Report coverage | The forecast of revenue, the position of the company, the competitive market statistics, growth prospects, and trends |
| Segments covered | Application And Product Type |
| Regional scope | North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
| Country scope | U.S.; Canada; U.K.; Germany; China; Japan; Brazil; Mexico; The UK; France; Italy; Spain; Japan; India; South Korea; Southeast Asia |
| Competitive Landscape | AGRIVI, Agroptima S.L., CropX, Inc., Hexagon Agriculture, Kubota Corporation, Climate LLC (Bayer AG), AgriCircle, Augmenta, Yara International ASA, Ec2ce, Ag Leader Technology, Trimble Inc., CNH Industrial N.V., BASF SE, Deere & Company, FarmFacts, OneSoil, Intellias, Proagrica (LexisNexis Risk Solutions Group), and Syngenta AG. |
| Customization scope | Free customization report with the procurement of the report, Modifications to the regional and segment scope. Particular Geographic competitive landscape. |
| Pricing and available payment methods | Explore pricing alternatives that are customized to your particular study requirements. |
This study employed a multi-step, mixed-method research approach that integrates:
This approach ensures a balanced and validated understanding of both macro- and micro-level market factors influencing the market.
Secondary research for this study involved the collection, review, and analysis of publicly available and paid data sources to build the initial fact base, understand historical market behaviour, identify data gaps, and refine the hypotheses for primary research.
Secondary data for the market study was gathered from multiple credible sources, including:
These sources were used to compile historical data, market volumes/prices, industry trends, technological developments, and competitive insights.
Primary research was conducted to validate secondary data, understand real-time market dynamics, capture price points and adoption trends, and verify the assumptions used in the market modelling.
Primary interviews for this study involved:
Interviews were conducted via:
Primary insights were incorporated into demand modelling, pricing analysis, technology evaluation, and market share estimation.
All collected data were processed and normalized to ensure consistency and comparability across regions and time frames.
The data validation process included:
This ensured that the dataset used for modelling was clean, robust, and reliable.
The bottom-up approach involved aggregating segment-level data, such as:
This method was primarily used when detailed micro-level market data were available.
The top-down approach used macro-level indicators:
This approach was used for segments where granular data were limited or inconsistent.
To ensure accuracy, a triangulated hybrid model was used. This included:
This multi-angle validation yielded the final market size.
Market forecasts were developed using a combination of time-series modelling, adoption curve analysis, and driver-based forecasting tools.
Given inherent uncertainties, three scenarios were constructed:
Sensitivity testing was conducted on key variables, including pricing, demand elasticity, and regional adoption.