Smart Oil Crops Market Size is valued at US$ 781.7 Mn in 2024 and is predicted to reach US$ 1,952.1 Mn by the year 2034 at an 10.1% CAGR during the forecast period for 2025-2034.
"Smart oil crops" are oil crops cultivated using advanced technologies and environmentally friendly practices to enhance resource efficiency, quality, and production. Precision agricultural techniques, such as data analytics, drones, sensors, and Internet of Things devices, are implemented to oversee these crops. These devices enable the real-time monitoring of soil health, parasites, weather, and fertiliser requirements. The objectives of smart oil crop cultivation include reducing resource wastage, minimising environmental impact, increasing oil yield, and lowering input costs. The industry for smart oil crops has been expanding significantly as agricultural technology continues to evolve in response to challenges such as resource constraints, climate change, and the necessity to increase production.
In addition, the market for smart oil crops has been steadily expanding as a result of the growing demand for environmentally responsible, high-yielding oilseeds to meet the world's biofuel and food needs. The market is further stimulated by national initiatives aimed at reducing environmental impact and enhancing agricultural security, as well as increased government and private investment. Furthermore, it is anticipated that the market for smart oil crops will expand rapidly in response to the increasing momentum of international initiatives promoting sustainable agriculture and self-reliance. This will be essential for the future security of food and biofuels, as well as for increasing domestic oilseed production.
Some of the Key Players in Smart Oil Crops Market:
· Deere & Company
· CNH Industrial N.V.
· AGCO Corporation
· Trimble Inc.
· Ag Leader Technology
· Topcon Corporation
· Valmont Industries, Inc.
· Corteva
· KUBOTA Corporation
· Kinze Manufacturing
· Lindsay Corporation
· Netafim
· Jain Irrigation Systems Ltd.
· BASF
· Farmers Edge Inc.
The smart oil crops market is segmented by equipment, software, systems, and application. By equipment, the market is segmented into planters, sprayers, tractors, and harvesters. By software, the market is segmented into remote sensing and prescription software, farm management and decision support software. By systems, the market is segmented into smart irrigation systems, navigation and guidance systems, field sensing and harvest monitoring systems. By application, the market is segmented into sunflower, soybean, rapeseed (canola), and others.
The increasing need for higher productivity with resource efficiency, combined with the growing adoption of precision agriculture methods, is propelling high growth in the planters segment of the smart oil crop market. For soybean, sunflower, rapeseed, and peanut oil crops, smart planters with GPS, sensors, and automated systems enable uniform seed distribution, optimal spacing, and reduced waste, all of which directly enhance yield quality. An increasing number of farmers are adopting advanced and mechanised planting techniques to improve efficiency and mitigate labour scarcity. Secondly, government-initiated programs supporting modern farm technologies and the growing awareness of sustainable practices are driving the expansion of this segment.
The smart oil crops market is experiencing swift growth in the soybean segment due to its healthy profile, versatility, and escalating demand from various industries. It is usually well known that soybeans are an essential crop for food, feed, and industrial purposes as they are rich in protein and healthy oils. The market for soybean oil and soybean protein derivatives in food processing and functional foods has grown exponentially due to increased consumer awareness of vegetarian diets and the demand for alternatives to animal-derived products. Additionally, the expansion of the biofuel industry, particularly biodiesel, has created new applications for soybean oil, driving the growth of the smart oil crops market.
In 2024, the largest share of the smart oil crop market in North America was held. The growth of oil crop projects in the region is the factor behind this. North America has also been at the forefront of new technology adoption in the oil and gas industry, following significant investments in research and development of digital technology. The oil and gas industry has grown and become more efficient due to supportive laws and an emphasis on safety measures, creating an environment conducive to innovation.
Throughout the forecast period, the smart oil crops market in the Asia Pacific is expected to expand at the highest rate. With growing energy needs and modernisation, the Asia Pacific will become a key centre for the smart oil crops. To meet their growing energy requirements, countries such as China and India are placing a greater emphasis on oil and gas exploration and production, which presents a vast potential for the growth of the smart oil crops industry.
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Report Attribute |
Specifications |
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Market Size Value In 2024 |
USD 781.7 Mn |
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Revenue Forecast In 2034 |
USD 1,952.1 Mn |
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Growth Rate CAGR |
CAGR of 10.1% from 2025 to 2034 |
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Quantitative Units |
Representation of revenue in US$ Bn and CAGR from 2025 to 2034 |
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Historic Year |
2021 to 2024 |
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Forecast Year |
2025-2034 |
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Report Coverage |
The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends |
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Segments Covered |
By Equipment, By Software, By Systems, By Application, and By Region |
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Regional Scope |
North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
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Country Scope |
U.S.; Canada; Germany; The UK; France; Italy; Spain; Rest of Europe; China; Japan; India; South Korea; Southeast Asia; Rest of Asia Pacific; Brazil; Argentina; Mexico; Rest of Latin America; GCC Countries; South Africa; Rest of the Middle East and Africa |
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Competitive Landscape |
Deere & Company, CNH Industrial N.V., AGCO Corporation, Trimble Inc., Ag Leader Technology, Topcon Corporation, Valmont Industries, Inc., Corteva, KUBOTA Corporation, Kinze Manufacturing, Lindsay, Corporation, Netafim, Jain Irrigation Systems Ltd., BASF, and Farmers Edge Inc. |
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Customization Scope |
Free customization report with the procurement of the report, Modifications to the regional and segment scope. Geographic competitive landscape. |
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Pricing and Available Payment Methods |
Explore pricing alternatives that are customized to your particular study requirements. |
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global Smart Oil Crops Market Snapshot
Chapter 4. Global Smart Oil Crops Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Porter's Five Forces Analysis
4.7. Incremental Opportunity Analysis (US$ MN), 2025-2034
4.8. Competitive Landscape & Market Share Analysis, By Key Player (2024)
4.9. Use/impact of AI on Smart Oil Crops Market Industry Trends
4.10. Global Smart Oil Crops Market Penetration & Growth Prospect Mapping (US$ Mn), 2024-2034
Chapter 5. Smart Oil Crops Market Segmentation 1: By Application, Estimates & Trend Analysis
5.1. Market Share by Application, 2024 & 2034
5.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Application:
5.2.1. Soybean
5.2.2. Sunflower
5.2.3. Rapeseed (Canola)
5.2.4. Others
Chapter 6. Smart Oil Crops Market Segmentation 2: By Equipment, Estimates & Trend Analysis
6.1. Market Share by Equipment, 2024 & 2034
6.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Equipment:
6.2.1. Tractors
6.2.2. Planters
6.2.3. Sprayers
6.2.4. Harvesters
Chapter 7. Smart Oil Crops Market Segmentation 3: By Systems, Estimates &
Trend Analysis
7.1. Market Share by Systems, 2024 & 2034
7.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Systems:
7.2.1. Navigation and Guidance Systems
7.2.2. Field Sensing and Harvest Monitoring Systems
7.2.3. Smart Irrigation Systems
Chapter 8. Smart Oil Crops Market Segmentation 4: By Software, Estimates & Trend Analysis
8.1. Market Share by Software, 2024 & 2034
8.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Software:
8.2.1. Farm Management and Decision Support Software
8.2.2. Remote Sensing and Prescription Software
Chapter 9. Smart Oil Crops Market Segmentation 5: Regional Estimates & Trend Analysis
9.1. Global Smart Oil Crops Market, Regional Snapshot 2024 & 2034
9.2. North America
9.2.1. North America Smart Oil Crops Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
9.2.1.1. US
9.2.1.2. Canada
9.2.2. North America Smart Oil Crops Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
9.2.3. North America Smart Oil Crops Market Revenue (US$ Million) Estimates and Forecasts by Equipment, 2021-2034
9.2.4. North America Smart Oil Crops Market Revenue (US$ Million) Estimates and Forecasts by Systems, 2021-2034
9.2.5. North America Smart Oil Crops Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
9.2.6. North America Smart Oil Crops Market Revenue (US$ Million) Estimates and Forecasts by Software, 2021-2034
9.3. Europe
9.3.1. Europe Smart Oil Crops Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
9.3.1.1. Germany
9.3.1.2. U.K.
9.3.1.3. France
9.3.1.4. Italy
9.3.1.5. Spain
9.3.1.6. Rest of Europe
9.3.2. Europe Smart Oil Crops Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
9.3.3. Europe Smart Oil Crops Market Revenue (US$ Million) Estimates and Forecasts by Equipment, 2021-2034
9.3.4. Europe Smart Oil Crops Market Revenue (US$ Million) Estimates and Forecasts by Systems, 2021-2034
9.3.5. Europe Smart Oil Crops Market Revenue (US$ Million) Estimates and Forecasts by Software, 2021-2034
9.4. Asia Pacific
9.4.1. Asia Pacific Smart Oil Crops Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
9.4.1.1. India
9.4.1.2. China
9.4.1.3. Japan
9.4.1.4. Australia
9.4.1.5. South Korea
9.4.1.6. Hong Kong
9.4.1.7. Southeast Asia
9.4.1.8. Rest of Asia Pacific
9.4.2. Asia Pacific Smart Oil Crops Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
9.4.3. Asia Pacific Smart Oil Crops Market Revenue (US$ Million) Estimates and Forecasts by Equipment, 2021-2034
9.4.4. Asia Pacific Smart Oil Crops Market Revenue (US$ Million) Estimates and Forecasts by Systems, 2021-2034
9.4.5. Asia Pacific Smart Oil Crops Market Revenue (US$ Million) Estimates and Forecasts by Software, 2021-2034
9.5. Latin America
9.5.1. Latin America Smart Oil Crops Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
9.5.1.1. Brazil
9.5.1.2. Mexico
9.5.1.3. Rest of Latin America
9.5.2. Latin America Smart Oil Crops Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
9.5.3. Latin America Smart Oil Crops Market Revenue (US$ Million) Estimates and Forecasts by Equipment, 2021-2034
9.5.4. Latin America Smart Oil Crops Market Revenue (US$ Million) Estimates and Forecasts by Systems, 2021-2034
9.5.5. Latin America Smart Oil Crops Market Revenue (US$ Million) Estimates and Forecasts by Software, 2021-2034
9.6. Middle East & Africa
9.6.1. Middle East & Africa Wind Turbine Rotor Blade Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
9.6.1.1. GCC Countries
9.6.1.2. Israel
9.6.1.3. South Africa
9.6.1.4. Rest of Middle East and Africa
9.6.2. Middle East & Africa Smart Oil Crops Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
9.6.3. Middle East & Africa Smart Oil Crops Market Revenue (US$ Million) Estimates and Forecasts by Equipment, 2021-2034
9.6.4. Middle East & Africa Smart Oil Crops Market Revenue (US$ Million) Estimates and Forecasts by Systems, 2021-2034
9.6.5. Middle East & Africa Smart Oil Crops Market Revenue (US$ Million) Estimates and Forecasts by Software, 2021-2034
Chapter 10. Competitive Landscape
10.1. Major Mergers and Acquisitions/Strategic Alliances
10.2. Company Profiles
10.2.1. Deere & Company
10.2.1.1. Business Overview
10.2.1.2. Key Product /Service Overview
10.2.1.3. Financial Performance
10.2.1.4. Geographical Presence
10.2.1.5. Recent Developments with Business Strategy
10.2.2. CNH Industrial N.V.
10.2.3. AGCO Corporation
10.2.4. Trimble Inc.
10.2.5. Ag Leader Technology
10.2.6. Topcon Corporation
10.2.7. Valmont Industries, Inc.
10.2.8. Corteva
10.2.9. Kubota Corporation
10.2.10. Kinze Manufacturing.
Smart Oil Crops Market by Equipment-
· Planters
· Sprayers
· Tractors
· Harvesters
Smart Oil Crops Market by Software -
· Remote Sensing and Prescription Software
· Farm Management and Decision Support Software
Smart Oil Crops Market by Systems-
· Smart Irrigation Systems
· Navigation and Guidance Systems
· Field Sensing and Harvest Monitoring Systems
Smart Oil Crops Market by Application-
· Sunflower
· Soybean
· Rapeseed (Canola)
· Others
Smart Oil Crops Market by Region-
North America-
· The US
· Canada
Europe-
· Germany
· The UK
· France
· Italy
· Spain
· Rest of Europe
Asia-Pacific-
· China
· Japan
· India
· South Korea
· Southeast Asia
· Rest of Asia Pacific
Latin America-
· Brazil
· Argentina
· Mexico
· Rest of Latin America
Middle East & Africa-
· GCC Countries
· South Africa
· Rest of the Middle East and Africa
InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.
Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.
Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.
Secondary research
The secondary research sources that are typically mentioned to include, but are not limited to:
The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista
Primary Research:
Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies
The contributors who typically take part in such a course include, but are not limited to:
Data Modeling and Analysis:
In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.
The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.
To know more about the research methodology used for this study, kindly contact us/click here.
