Smart Agriculture Market Report Cover

Smart Agriculture Market

Smart Agriculture Market Report Cover

Smart Agriculture Market Size, Share, Growth & Industry Analysis, Type (Hardware, Software, Services), Application (Precision Farming, Livestock Monitoring, Fish Farm Monitoring, Smart Greenhouse, Others) and Regional Analysis, 2023-2030

Author : Omkar R.

Pages : 120

Base Year : 2022

Release : August 2023

Report ID: KR34

Smart Agriculture Market Size

The global Smart Agriculture Market size was valued at USD 14.32 billion in 2022 and is projected to reach USD 45.39 billion by 2030, growing at a CAGR of 15.55% from 2023 to 2030. In the scope of work, the report includes solutions offered by companies such as Deere & Company, Trimble Inc., Raven Industries, Topcon Positioning Systems, Autonomous Solutions, Inc., DeLaval Inc., Farmers Edge Inc., BouMatic Robotic B.V., AgJunction, Inc., AGCO Corporation and Others.

The market for smart agriculture is anticipated to experience growth driven by the increasing automation of commercial greenhouses. The adoption of smart technologies in greenhouse operations offers benefits such as enhanced monitoring, precise control of environmental factors, and optimized crop production. However, the high costs associated with implementing smart agriculture setups may hinder market growth, particularly in regions with limited financial resources or less developed infrastructure.

Analyst’s Review 

Machine-to-Machine (M2M) applications are witnessing significant growth in the smart agriculture industry. Forecasts indicate widespread adoption of this technology in the coming years. With farmers in developed regions experiencing an upsurge in disposable income, there is an expected increase in investments directed toward transforming traditional agricultural practices into smart agriculture systems. This trend highlights the growing significance of M2M applications and their potential to revolutionize the agricultural sector.

Market Definition

Smart agriculture utilizes advanced technologies like IoT, sensors, robots, AI, and location systems to streamline processes and optimize resource usage. Its goal is to improve crop quality and quantity while reducing operational costs and optimizing labor. Data collected from farm devices empower owners to make informed decisions for better operations.

The smart agriculture market holds significant potential for transforming the agricultural industry. By leveraging advanced technologies, optimizing resource usage, and making informed decisions, farmers can enhance productivity, reduce costs, and contribute to food security. Real-time data on crop health, soil conditions, weather patterns, and pest infestations empower farmers to take timely actions, optimize resource usage, and minimize losses. This data-driven approach improves productivity, reduces waste, and contributes to more sustainable and efficient farming practices.

Regulations also play a crucial role in the development of the smart agriculture market. These regulations may vary across regions and countries, affecting the adoption and deployment of smart agricultural technologies. However, positive government initiatives that support and incentivize the adoption of smart agriculture greatly benefit both industry players and technology consumers. Governments provide financial assistance, subsidies, or tax incentives to encourage farmers to adopt smart agriculture practices. Such initiatives help offset the high initial costs and accelerate the adoption of smart technologies in agriculture.

Market Dynamics

The smart agriculture market is experiencing significant growth, driven by the increasing adoption of the controlled environment agriculture concept in greenhouses. CEA allows for precise control of environmental factors such as temperature, lighting, humidity, and others in optimized plant growth and higher yields. In this context, the transition from conventional lighting systems to LED grow lights is gaining momentum.

LED grow lights offer advantages such as energy efficiency, longer lifespan, and the ability to be seamlessly integrated into CEA setups. This shift towards LED technology further enhances the benefits of smart agriculture, leading to an anticipated exponential growth in the smart agriculture market during the forecast period. The combination of CEA and LED grow lights showcases the potential for innovative and sustainable farming practices in the future.

The adoption of smart agricultural techniques is hindered by factors related to limited connectivity and infrastructure in remote regions. In areas where reliable internet access is scarce, farmers face difficulties in accessing and utilizing smart agriculture technologies effectively. Furthermore, the lack of proper infrastructure such as power supply and network coverage can impede the deployment of these advanced systems. Another obstacle is the limited technical expertise and training available to farmers.

The successful implementation of smart agriculture requires knowledge and skills in handling and maintaining complex technologies. Without adequate training programs and support, farmers may struggle to fully utilize the potential of these innovative solutions. Addressing these challenges by improving connectivity, expanding infrastructure, and providing comprehensive training programs is crucial for widespread adoption and maximizing the benefits of smart agricultural techniques.

Smart agricultural service providers and developers face challenges related to interoperability and compatibility. The use of diverse hardware and software systems in the industry creates difficulties in seamlessly integrating different devices and platforms. Standardization efforts are necessary to establish common protocols and frameworks that enable smooth communication and interoperability among various smart agricultural technologies.

Furthermore, data security and privacy concerns are critical in smart agricultural systems. As these systems collect and store sensitive information, ensuring the protection of data from unauthorized access and potential breaches becomes a significant challenge. Implementing robust security measures, including encryption, access controls, and secure data storage practices, is essential to safeguard the integrity and confidentiality of agricultural data.

Segmentation Analysis

The global market is segmented based on type, application, and geography.

By Type

Based on the type, the market is segmented into hardware, software, and services. The hardware segment held the largest smart agriculture market share at 52.85% in 2022. The segment holds a significant market share due to its essential role in enabling data collection, automation, connectivity, and control systems for improved productivity and efficiency.

By Application

Based on the application, the smart agriculture market is divided into precision farming, livestock monitoring, fish farm monitoring, smart greenhouse, and others. Precision farming is expected to be the fastest-growing segment with a CAGR of 16.61% due to its ability to optimize resource utilization, increase crop yield, and enhance operational efficiency through data-driven decision-making.

Smart Agriculture Market Regional Analysis

Based on regional analysis, the global market is classified into North America, Europe, Asia-Pacific, MEA, and Latin America.

Smart Agriculture Market Size & Share, By Region, 2023-2030

The North America Smart Agriculture Market share stood around 37.57% in 2022 in the global market, with a valuation of USD 5.38 billion. This growth can be attributed to the well-established agricultural sector in the region, which demands advanced technologies to enhance productivity and efficiency. North America benefits from a strong ecosystem of technology providers, easing the adoption of smart agriculture solutions. As a result, North America continues to be a significant hub for smart agriculture advancements and investments.

The Asia-Pacific region will be the fastest-growing region in the smart agriculture market and is projected to reach USD 15.00 billion by 2030. This rapid growth can be attributed to the rapid industrialization in the region. As the population in the Asia-Pacific region is rapidly increasing, the demand for smart agriculture solutions is rising to ensure efficient and sustainable food production.

Competitive Landscape

The smart agriculture industry report will provide valuable insight with an emphasis on the fragmented nature of the global market. Prominent players are focusing on several key business strategies such as partnerships, mergers and acquisitions, product innovations, and joint ventures to expand their product portfolio and increase their respective market shares across different regions. Expansion & investments involve a range of strategic initiatives including investments in R&D activities, new manufacturing facilities, and supply chain optimization.

List of Key Companies in Smart Agriculture Market

  • Deere & Company
  • Trimble Inc.
  • Raven Industries
  • Topcon Positioning Systems
  • Autonomous Solutions, Inc.
  • DeLaval Inc
  • Farmers Edge Inc
  • BouMatic Robotic B.V.
  • AgJunction, Inc.
  • AGCO Corporation

Key Industry Developments

  • October 2022 (Product Launch) - Trimble Inc. launched new agriculture displays that offer next-generation capabilities. These advanced displays provide farmers with improved functionality, including enhanced connectivity, intuitive interfaces, and integrated precision agriculture features, to optimize their farming operations and increase productivity.
  • June 2021 (Acquisition) - CNH Industrial announced its plan to acquire Raven Industries, a move that will strengthen its smart agriculture capabilities and scale. This strategic acquisition will enable CNH Industrial to offer a broader range of solutions and technologies to the agricultural industry, further enhancing its position in the market.
  • May 2021 (Product Launch) - John Deere introduced a range of precision planting products encompassing sensors, seed delivery systems, and analytics tools. These tools utilize machine learning algorithms to forecast the impact of various planting conditions on crop yields. Based on these predictions, the tools automatically adapt planting rates and seed spacing, empowering farmers to optimize their planting operations and maximize productivity.

The Global Smart Agriculture Market is segmented as:

By Type

  • Hardware
  • Software
  • Services

By Application

  • Precision Farming
  • Livestock Monitoring
  • Fish Farm Monitoring
  • Smart Greenhouse
  • Others

By Region

  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • France
    • U.K.
    • Spain
    • Germany
    • Italy
    • Russia
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • India
    • South Korea
    • Rest of Asia-Pacific
  • Middle East & Africa
    • GCC
    • North Africa
    • South Africa
    • Rest of Middle East & Africa
  • Latin America
    • Brazil
    • Argentina
    • Rest of Latin America
  • Check Icon Additional Company Profiles
  • Check Icon Additional Countries
  • Check Icon Cross Segment Analysis
  • Check Icon Regional Market Dynamics
  • Check Icon Country-Level Trend Analysis
  • Check Icon Competitive Landscape Customization
  • Check Icon Extended Forecast Years
  • Check Icon Historical Data Up to 5 Years
Frequently Asked Questions (FAQ's)
The global market is projected to reach USD 45.39 billion by 2030, growing at a CAGR of 15.55% from 2023 to 2030.
The global market was valued at USD 14.32 billion in 2022.
The global market is growing rapidly owing to the increasing automation of commercial greenhouses. Additionally, the increasing adoption of the controlled environment agriculture concept in greenhouses is propelling the market growth.
Top manufacturers of smart agriculture are Deere & Company, Trimble Inc., Raven Industries, AGCO Corporation, Topcon Positioning Systems, Autonomous Solutions, Inc., DeLaval Inc, Farmers Edge Inc, BouMatic Robotic B.V., AgJunction, Inc. and others.
Asia-Pacific is the fastest growing region with the CAGR of 19.99% in the forecasted period (2023-2030) with the market value forecasted to reach at USD 15.00 billion by 2030.
By application, precision farming will hold the maximum share in the market with the revenue value of USD 30.52 billion in 2030.
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