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Report ID: AG0026
Pages: 168
Base Year: 2023
Format: PDF
Historical Date: 2019-2022
MARKET SCOPE:
The global Smart Harvest market is projected to grow significantly, registering a CAGR of 11.1% during the forecast period (2024 – 2032).
Smart harvesting involves the application of innovative agricultural technologies and methodologies to optimize the harvest process. This approach encompasses the collection of data on crops, soil conditions, and weather patterns, enabling informed decisions on when and how to harvest crops through the integration of various technologies such as sensors, automation, machine learning, and robotics. The goal of smart harvesting is to enhance efficiency, reduce labor costs, and minimize waste by harvesting crops at the optimal time and in the most effective manner possible. By implementing smart harvesting techniques, farmers can elevate the quality and quantity of their crops, leading to increased revenues. The smart harvest industry is anticipated to experience significant growth in the coming years, driven by the widespread adoption of smart harvest technology by farmers and agricultural enterprises. This industry stands to benefit from the continuous advancements in artificial intelligence and machine learning, which contribute to the development of sophisticated and intelligent farming systems capable of adapting to changing climatic conditions and optimizing crop yields.
MARKET OVERVIEW:
Driver: Owing of labor shortages in the agriculture industry, the smart harvest market will drive the market growth.
The agriculture industry is currently experiencing a demand surge for smart harvesting technologies, driven primarily by labor shortages. The market for smart harvest is further propelled by the increasing need for advanced technologies like climate-smart agriculture, aiding farmers in weather forecasting amid ongoing fluctuations in weather patterns. The expansion of the smart harvest industry is also accelerated by technological innovations such as the utilization of harvesting robots in various crops like strawberries, oranges, and apples. The introduction of technologically advanced products of the new generation has the potential to significantly boost the growth of the smart harvest sector. Recognizing harvesting as a pivotal stage in farming, the integration of smart devices such as GPS, sensors, cloud storage, and satellite photos can contribute to enhancing overall production.
Opportunities: The adoption of smart technologies will bolster the market growth in the upcoming years.
The future growth of the market is anticipated to be augmented by the widespread incorporation of intelligent technologies such as artificial intelligence (AI), machine learning (ML), the internet of things (IoT), global positioning systems (GPS), and sensors in the agricultural sector. Increasingly, artificial intelligence and deep learning are finding applications in tasks such as crop health monitoring, yield assessment, as well as in the operations of self-driving smart tractors for cultivation and harvesting. The utilization of artificial intelligence contributes to improving crop quality and plays a crucial role in pest and disease management through early identification, thereby enhancing harvesting processes. The implementation of technological advancements not only reduces the necessity for human intervention but also serves to decrease costs associated with hiring specialized personnel.
COVID IMPACT:
In the agriculture industry, a pivotal consumer of smart harvesting technologies, the pandemic-induced labor shortages became conspicuous. Lockdown measures, social distancing requirements, and apprehensions regarding the health and safety of workers collectively contributed to a diminished availability of manual labor. Consequently, this spurred an increased demand for automated and smart harvesting solutions, as farmers sought alternatives to compensate for the restricted access to traditional labor resources. The imperative for social distancing and a reduced reliance on physical contact in agricultural operations gave rise to an upsurge in the demand for precision agriculture technologies, particularly in the realm of smart harvesting. Farmers, recognizing the need to optimize their operations with minimal human intervention, actively sought solutions that aligned with the principles of precision agriculture, thereby contributing to the overall growth of the smart harvesting market.
However, not all sectors of the agriculture industry swiftly embraced the transition to smart harvesting. Financial uncertainties, stemming from the economic repercussions of the pandemic, led some agricultural enterprises to defer the adoption of new technologies, including smart harvesting solutions. The challenges posed by economic constraints influenced investment decisions, causing delays in the adoption process, particularly in certain regions. One positive outcome of the pandemic was the intensified recognition of the importance of remote monitoring solutions. As farmers sought ways to manage and monitor their fields without physical presence, the adoption of IoT and other remote technologies in smart harvesting experienced a notable acceleration. This shift towards remote monitoring solutions is poised to leave a lasting impact on the landscape of smart harvesting technologies.
SEGMENTATION ANALYSIS:
Fruits and vegetables retained the biggest market share and it is anticipated to grow significantly during the forecast period.
Tomatoes, strawberries, and cucumbers exemplify fruits and vegetables, constituting the most significant market share at approximately 45%. This sector demonstrated a Compound Annual Growth Rate (CAGR) exceeding 9% throughout the projected period from 2024 to 2032. Grains and cereals, represented by crops like wheat, rice, and corn, maintained a market share of nearly 30%, experiencing a notable CAGR of approximately 11%. Oilseeds and pulses, encompassing crops such as soybeans, peanuts, and chickpeas, secured an 18% market share with a CAGR of around 8%.
REGIONAL ANALYSIS:
The Europe region is set to witness significant growth during the forecast period.
In the forecasted period, Europe is anticipated to offer the most promising opportunities, driven by the rapid adoption of advanced harvesting technologies in the region’s major economies, contributing to market expansion. Additionally, the increasing population and the demand for higher-yielding crops are key factors fueling the prospective growth of the market. The Asia-Pacific region has witnessed continuous growth in the implementation of smart harvesting mechanisms. This can be attributed to the rising awareness among the younger generation of farmers and aspiring Agri-entrepreneurs about the benefits associated with these intelligent systems. The expanding population, coupled with the growing demand for a diverse array of fruits and vegetables in larger quantities, serves as a motivating factor for farmers in the APAC region to embrace smart harvesting methods.
COMPETITIVE ANALYSIS
The global Smart Harvest market is reasonably competitive with mergers, acquisitions, and product launches. See some of the major key players in the market.
Scope of the Report
** In – depth qualitative analysis will be provided in the final report subject to market
Primary and Secondary Research
In order to understand the market in detail we conduct primary and secondary research. We collect as much information as we can from the market experts through primary research. We contact the experts from both demand and supply side and conduct interviews to understand the actual market scenario. In secondary research, we study and gather the data from various secondary sources such as company annual reports, press releases, whitepapers, paid databases, journals, and many other online sources. With the help of the primary interviews, we validate the data collected from secondary sources and get a deep understanding on the subject matter. Post this our team uses statistical tools to analyses the data to arrive at a conclusion and draft it in presentable manner.
Market Size Estimations
Understanding and presenting the data collected is a crucial task. Market sizing is a critical part of the data analysis and this task is performed by using Top-down and bottom-up approaches. In this process, we place different data points, market information and industry trends at a suitable space. This placement helps us presume the estimated & forecast values for coming few years. We use several mathematical and statistical models to estimate the market sizes of different countries and segments. Each of this is further added up to outline the total market. These approaches are individually done on regional/country and segment level.
Data Triangulation
As we arrive at the total market sizes, the market is again broken down into segments and subsegments. This process is called as data triangulation and is implementable wherever applicable. This step not only helps us conclude the overall market engineering process, but also gives an assurance on accuracy of the data generated. The data is triangulated based on studying the market trends, various growth factors, and aspects of both demand and supply side.