Augmented Reality In Agriculture Market Size is valued at 1.44 billion in 2024 and is predicted to reach 25.33 billion by the year 2034 at a 33.4% CAGR during the forecast period for 2025-2034.
The need for enhanced interaction in applications like field monitoring, equipment handling, and maintenance drives the demand for augmented reality in agriculture. These applications require the use of essential AR hardware. Furthermore, the agricultural sector has significantly transformed by introducing advanced agricultural solutions. Developing tailored field solutions, data-driven agronomic activities, and intelligent inputs at the field level has enabled successful farming operations, thus stimulating market growth.
However, collecting and processing sensitive farm operation data in augmented reality agriculture raises concerns regarding data privacy, protection, and regulation compliance. Addressing these concerns is crucial for farmers and organizations and can impact the market's growth. The increasing world population is exerting significant strain on global food production and prompting investments in agricultural innovations to enhance productivity in the farming sector.
Additionally, adopting augmented reality (AR) technology in agriculture will enable farmers to minimize crop wastage and enhance production speedily, thereby meeting the demands of consumers and reaching set targets. these elements are anticipated to drive the global augmented reality in agriculture market in the foreseeable future.
The augmented reality in agriculture market is segmented based on application and services. Based on application, the augmented reality in agriculture market is divided as indoor farming and outdoor farming. By solution, the market is segmented into hardware, software and service
The hardware category is expected to hold a major share in the global augmented reality in agriculture market in 2022. Applications requiring a higher level of engagement include field monitoring, handling equipment, and maintenance. Because of this, AR gear is essential for these applications. Nearly all specialized augmented reality gear incorporates transparent lenses since augmented reality aims to overlay virtual information onto the actual world. Utilizing AR devices, which contain displays, sensors, and other haptic elements, users can interact with the 3D holographic data and material that is being presented. The AR hardware consists of head-mounted displays with a wider field of view, such as smart glasses and headsets, as well as head-up displays.
The indoor farming segment is projected to grow rapidly in the global augmented reality in agriculture market. Indoor agriculture can be considered the future of urban agriculture or a viable alternative to conventional commercial farming techniques. Several methods of growing food indoors include terrace farming, aquaponics, and vertical farming. Compared to commercial farming methods, these methods provide various advantages. An important advantage of indoor farming is that the product may be grown close to the point of sale, which reduces supply chain and storage costs and boosts profits. A
The North America Augmented Reality in the Agriculture market is expected to register a tremendous market share. Indoor agriculture can be viewed as either the urban agriculture of the future or as a practical substitute for traditional commercial agricultural methods. Terrace farming, aquaponics, and vertical farming are a few techniques for growing food indoors. These agricultural approaches offer some benefits over commercial farming techniques.
The product can be grown close to the point of sale, which lowers supply chain and storage costs while increasing revenues. This is a significant benefit of indoor farming. In addition, Asia Pacific is projected to grow rapidly in the global augmented reality in agriculture market. The adoption of augmented reality in agriculture has gained momentum due to the increasing need for sustainable farming practices, rising demand for precision agriculture technologies, and the availability of advanced infrastructure and technology resources.
The market is driven by the desire to optimize farm productivity, reduce resource wastage, improve decision-making processes, and enhance overall operational efficiency, which drives the regional market.
Report Attribute |
Specifications |
Market Size Value In 2024 |
USD 1.44 Bn |
Revenue Forecast In 2034 |
USD 25.33 Bn |
Growth Rate CAGR |
CAGR of 33.4% from 2025 to 2035 |
Quantitative Units |
Representation of revenue in US$ Bn and CAGR from 2025 to 2034 |
Historic Year |
2021 to 2024 |
Forecast Year |
2025-2034 |
Report Coverage |
The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends |
Segments Covered |
Application and Services |
Regional Scope |
North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
Country Scope |
U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; The UK; France; Italy; Spain; South Korea; Southeast Asia |
Competitive Landscape |
Nedap Livestock Management, AMAZONEN-WERKE H. DREYER SE & Co. KG, CLAAS KGaA GmbH, EON Realit, Väderstad Group, Augmenta, mGrow Glide, LL, Plant Vision , Visual Logic, LLC, Anarky lab, Rams Creative Technologies Pvt. Ltd., Program-Ace and Think Digital |
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. |
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global Augmented Reality in Agriculture Market Snapshot
Chapter 4. Global Augmented Reality in Agriculture Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis of Metaverse Industry
4.6. Industry Analysis – Porter’s Five Forces Analysis
4.7. COVID-19 Impact on Metaverse Industry
Chapter 5. Market Segmentation 1: By Application Estimates & Trend Analysis
5.1. By Application & Market Share, 2024-2034
5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following By Application:
5.2.1. Indoor Farming
5.2.2. Outdoor Farming
Chapter 6. Market Segmentation 2: By Solution Estimates & Trend Analysis
6.1. By Application & Market Share, 2024-2034
6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following By Solution:
6.2.1. Hardware
6.2.2. Software
6.2.3. Service
Chapter 7. Augmented Reality in Agriculture Market Segmentation 3: Regional Estimates & Trend Analysis
7.1. North America
7.1.1. North America Augmented Reality in Agriculture Market revenue (US$ Million) estimates and forecasts By Application, 2021-2034
7.1.2. North America Augmented Reality in Agriculture Market revenue (US$ Million) estimates and forecasts By Solution, 2021-2034
7.1.3. North America Augmented Reality in Agriculture Market revenue (US$ Million) estimates and forecasts by country, 2021-2034
7.1.3.1. U.S.
7.1.3.2. Canada
7.2. Europe
7.2.1. Europe Augmented Reality in Agriculture Market revenue (US$ Million) by By Application, 2021-2034
7.2.2. Europe Augmented Reality in Agriculture Market revenue (US$ Million) estimates and forecasts By Solution, 2021-2034
7.2.3. Europe Augmented Reality in Agriculture Market revenue (US$ Million) by country, 2021-2034
7.2.3.1. Germany
7.2.3.2. Poland
7.2.3.3. France
7.2.3.4. Italy
7.2.3.5. Spain
7.2.3.6. UK
7.2.3.7. Rest of Europe
7.3. Asia Pacific
7.3.1. Asia Pacific Augmented Reality in Agriculture Market revenue (US$ Million) by By Application, 2021-2034
7.3.2. Asia Pacific Augmented Reality in Agriculture Market revenue (US$ Million) estimates and forecasts By Solution, 2021-2034
7.3.3. Asia Pacific Augmented Reality in Agriculture Market revenue (US$ Million) by country, 2021-2034
7.3.3.1. China
7.3.3.2. India
7.3.3.3. Japan
7.3.3.4. Australia
7.3.3.5. Rest of Asia Pacific
7.4. Latin America
7.4.1. Latin America Augmented Reality in Agriculture Market revenue (US$ Million) by By Application, 2021-2034
7.4.2. Latin America Augmented Reality in Agriculture Market revenue (US$ Million) estimates and forecasts By Solution, 2021-2034
7.4.3. Latin America Augmented Reality in Agriculture Market revenue (US$ Million) by country, (US$ Million) 2021-2034
7.4.3.1. Brazil
7.4.3.2. Rest of Latin America
7.5. Middle East & Africa
7.5.1. Middle East & Africa Augmented Reality in Agriculture Market revenue (US$ Million) by By Application, (US$ Million)
7.5.2. Middle East & Africa Augmented Reality in Agriculture Market revenue (US$ Million) estimates and forecasts By Solution, 2021-2034
7.5.3. Middle East & Africa Augmented Reality in Agriculture Market revenue (US$ Million) by country, (US$ Million) 2021-2034
7.5.3.1. South Africa
7.5.3.2. GCC Countries
7.5.3.3. Rest of MEA
Chapter 8. Competitive Landscape
8.1. Major Mergers and Acquisitions/Strategic Alliances
8.2. Company Profiles
8.2.1. Nedap Livestock Management
8.2.2. AMAZONEN-WERKE H. DREYER SE & Co. KG
8.2.3. CLAAS KGaA GmbH
8.2.4. EON Reality
8.2.5. Väderstad Group
8.2.6. Augmenta
8.2.7. Grow Glide, LLC
8.2.8. Plant Vision
8.2.9. Visual Logic, LLC
8.2.10. Anarky labs
8.2.11. Rams Creative Technologies Pvt. Ltd.
8.2.12. Program-Ace
8.2.13. Think Digital
8.2.14. Other Prominent Players
Augmented Reality in Agriculture Market By Application
Augmented Reality in Agriculture Market By Solution
Augmented Reality in Agriculture Market By Region-
North America-
Europe-
Asia-Pacific-
Latin America-
Middle East & Africa-
Rest of 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.