市场调查报告书
商品编码
1357043
智慧收穫市场 - 全球和区域分析:按产品、按用途、新创企业、专利、价值链、按国家/地区 - 分析和预测(2023-2028)Smart Harvest Market - A Global and Regional Analysis: Focus on Product, Application, Startup, Patent, Value Chain, and Country-Wise Analysis - Analysis and Forecast, 2023-2028 |
预计2022年全球智慧收穫市场规模将达41.7亿美元,2023年将达47亿美元。
该市场预计到 2028 年将达到 77.4 亿美元,在预测期内(2023-2028 年)复合年复合成长率将达到 10.5%。这种成长主要是由于农业产业越来越注重实现更高的作物产量,同时最大限度地降低投入成本。智慧收割技术为生产管理、收割最佳化和有效收割提供了精确且有针对性的方法。透过让农民能够做出资料主导的决策、提高营运效率、减少资源浪费和减少环境影响,这些技术将在未来年度推动全球智慧收穫市场的扩张。我们准备推动这一点。
关键统计数据 | |
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预测期 | 2023 - 2028 |
2023年估计值 | 47亿美元 |
2028年预测值 | 77.4亿美元 |
年复合成长率 | 10.5% |
智慧收穫是一种尖端农业技术解决方案,正在彻底改变农业。随着粮食生产需求的增加,这种创新方法为整体农业领域的企业带来了巨大的好处。智慧收穫系统利用先进感测器、资料分析和自动化的力量来优化作物管理和收穫结果。这使农民能够做出资讯的决策,准确监测作物健康状况,并有效分配水和肥料等资源。其结果是提高了生产力和盈利能力,并减少了废弃物和对环境的影响。
借助即时资料洞察,智慧收穫可以帮助企业适应不断变化的天气条件、市场需求和资源可用性。无论客户是小农还是大型农业企业,该技术都能确保永续且有弹性的作物生产,最终确保客户的利润。将智慧收割融入客户的农业业务不仅可以提高营运效率,还可以将客户定位为具有前瞻性、环保意识的行业领导者。
该报告研究了全球智慧收穫市场,并提供了市场概述、按按产品、用途、区域和参与市场的公司概况分類的趋势。
“Global Smart Harvest Market to Reach $7.74 Billion by 2028.”
The global smart harvest market, valued at $4.17 billion in 2022, is expected to reach $7.74 billion by 2028, exhibiting a robust CAGR of 10.5% during the forecast period (2023-2028). This growth is primarily driven by the agricultural industry's growing emphasis on achieving higher crop yields while minimizing input costs. Smart harvest technologies offer precise and targeted approaches for production management, optimized harvesting application, and effective harvesting. By enabling farmers to make data-driven decisions, enhance operational efficiency, reduce resource wastage, and mitigate environmental impact, these technologies are poised to fuel the expansion of the global smart harvest market in the coming years.
KEY MARKET STATISTICS | |
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Forecast Period | 2023 - 2028 |
2023 Evaluation | $4.70 Billion |
2028 Forecast | $7.74 Billion |
CAGR | 10.5% |
Smart harvest is a cutting-edge agricultural technology solution poised to revolutionize the farming industry. In a world where food production demands are escalating, this innovative approach offers substantial benefits to businesses across the agricultural spectrum. Smart harvest system leverages the power of advanced sensors, data analytics, and automation to optimize crop management and yield outcomes. It enables farmers to make informed decisions, precisely monitor crop health, and efficiently allocate resources such as water and fertilizer. This results in increased productivity and profitability while reducing waste and environmental impact.
With real-time data insights, smart harvest empowers businesses to adapt to changing weather conditions, market demands, and resource availability. Whether the customer is a small-scale operator or a large agricultural enterprise, this technology ensures sustainable and resilient crop production, ultimately securing the customer's bottom line. Incorporating smart harvest into the customer's agricultural business not only enhances operational efficiency but also positions the customer as a forward-thinking and environmentally responsible industry leader.
In 2022, the global smart harvest market reached a valuation of $4.17 billion. Over the forecast period, the market is projected to exhibit a CAGR of 10.5%, reaching a value of $7.74 billion by 2028. The market's expansion is influenced by a multitude of significant factors. These include the escalating worldwide need for food, the diminishing accessibility of water resources and arable land, the scarcity of the agricultural workforce, and the upward trend in agricultural input costs such as harvesting labor costs. As a cumulative effect, these factors are projected to drive the increased adoption of smart harvest technologies in the agricultural sector. These advanced technologies empower farmers to optimize resource allocation, enhance crop yield, and ultimately elevate overall agricultural productivity.
During the projected timeframe (2023-2028), on-field agriculture application is expected to occupy a significant market share in the global smart harvest market. Regions such as North America, the U.K., Europe, and China are anticipated to experience substantial growth in smart harvest, which can be attributed to the increasing adoption of precision agriculture practices, rising demand for sustainable farming solutions, and the need to optimize resource utilization for enhanced crop management and production.
Smart harvest in on-field agricultural crops involves the integration of advanced technologies and data-driven approaches to effectively manage and harvest on-field crops. This approach goes beyond traditional harvesting methods and focuses on targeted and precise crop management strategies. The key components of smart harvest are sensors and imaging technology for data collection, artificial intelligence (AI)-driven analytics for data processing, automation, robotics for efficient farming tasks, remote monitoring and control for real-time management, and integration with farm management software. These components work together to enable precision agriculture. Sensors gather data on crop and environmental conditions, which is analyzed by AI to inform decision-making.
Automation and robotics execute tasks with precision, reducing manual labor. Remote monitoring and control enable farmers to manage operations remotely, and integration with software provides a holistic view of farm activities, optimizing productivity and sustainability. Another aspect of smart harvest is the integration of remote sensing technologies, such as aerial robots/drones or satellite imagery. These technologies enable farmers to monitor and detect grown crops or ripened fruits across large areas of agricultural fields. By capturing high-resolution images and using advanced algorithms, farmers can identify grown crops and implement timely and targeted harvesting measures.
The self-propelled smart harvester segment is expected to hold a significant market share in the global smart harvest market during the forecast period (2023-2028). Regions such as North America, Asia-Pacific, Europe, and China are expected to experience notable CAGR in this segment. These regions, characterized by vast geographical areas and diverse crop production, face challenges in achieving efficient harvesting and yield enhancement.
The demand for self-propelled smart harvesters has been steadily rising due to several compelling reasons. Firstly, these advanced machines significantly enhance efficiency and productivity in agriculture. It operates autonomously or semi-autonomously, reducing the need for extensive manual labor, which is becoming increasingly scarce and expensive. This not only boosts overall output but also helps farmers to manage their resources more effectively. Furthermore, self-propelled smart harvesters incorporate cutting-edge technologies such as GPS, sensors, and AI-driven algorithms. These technologies enable precise harvesting, reducing crop damage and waste while maximizing yields. This level of precision is especially crucial in modern farming, where minimizing environmental impact and resource usage is a priority.
The demand for self-propelled smart harvesters also stems from the need for scalability and flexibility in agriculture. These machines can adapt to various crop types and field conditions, making them suitable for a wide range of farming operations. As global food demand continues to grow, these harvesters offer a sustainable and efficient solution to meet these challenges while minimizing labor costs and environmental impact. Consequently, the agriculture industry is increasingly embracing self-propelled smart harvesters as a cornerstone of modern, high-tech farming practices.
During the forecast period, Europe, North America, and Asia-Pacific are projected to witness substantial demand for the smart harvest market. The consolidation of small farms and the consequent expansion of average field sizes are expected to create favorable conditions for the adoption of smart harvest.
The utilization of smart harvest technologies is witnessing a notable expansion in Europe, North America, Asia-Pacific, and China. This growth can be attributed to heightened research and development activities, alongside experimental field studies conducted by institutions and government entities aimed at assessing the economic advantages associated with smart harvest technologies. In South America, China, and the U.K., the rapid proliferation of start-up ventures, coupled with the demand for efficient harvesting in food production to minimize costs, is driving the adoption of smart harvest solutions, consequently stimulating market growth.
The need to enhance crop yield has become critical due to factors such as the exponential growth of world population, shrinking agricultural lands, steady rise in demand for food, and depletion of finite natural resources. In addition, the increase in urban population, mainly in developing countries, along with the enhancement of quality of living owing to high-income levels, are further fuelling the demand for crop production. Limited availability of natural resources, including fresh water and arable land, coupled with slowing yield trends in several staple crops and labor shortage, has eventually prompted growers and companies in the farming sector to introduce innovative as well as advanced smart agriculture techniques in order to enhance farm profitability. This can be achieved through minimizing the losses in the harvesting process by the adoption of smart harvesting solutions.
However, one of the critical areas of farming operations is harvesting due to losses that occurred during improper harvesting practices. Farming cannot be efficient without the right timing as well as the efficiency of harvesting grain, fruit, and vegetables. However, rising levels of automation have been deployed with the combine harvesters for several years. Additionally, fruit and vegetable picking is of key interest to autonomous harvesting technology developers who seek to solve the complexities of identifying good quality as well as ripe fruit by rejecting rotten fruit and carefully handling the picked fruit without creating any damage. There is further an increasing need for automated harvesters or smart harvesters since the production of fresh fruits is rising globally, with about 900 million tons of fresh fruit produced per year. However, according to the UN Food and Agriculture Organization, about 30% of global food loss occurs during agricultural production, including harvest operations. This occurs when the farmers abandon the crops or fail to complete harvests due to the unavailability of skilled labor.
Autonomous harvesters or smart harvesters are some of the most innovative and advanced technologies utilized in the smart agriculture industry. Although robotic applications provide various benefits to farmers, there are some challenges faced by farmers in implementing the technology. In some developing countries, farmers have restrained themselves from adopting IT technologies in farming methods. The farmers keep utilizing conventional sources owing to less knowledge about the new technologies and heavy investments in adopting smart harvesting equipment.
Farmers in rural areas are not flexible in using IT technology in agriculture activities since they commonly do not use smartphones and other digital devices. If any new technology is introduced in the agriculture sector, its adoption rate depends on various factors such as knowledge, capability, and affordability. It is difficult for certain farmers across the globe to adopt these technologies as they might not have the capacity to operate autonomous robots or find it difficult to understand the functions of such robots.
The lack of knowledge among farmers about smart harvesting solutions presents a significant obstacle to their adoption. Many farmers, particularly in remote or less technologically advanced areas, may not be aware of the potential benefits these solutions offer. Limited access to information, unfamiliarity with digital technologies, and concerns about costs contribute to this knowledge gap. In order to address this issue, efforts are needed to provide accessible and simplified information through workshops, local language resources, and practical demonstrations. Government support, subsidies, and collaboration with agricultural experts can help bridge the gap, empowering farmers with the understanding needed to embrace these technologies and enhance their harvesting efficiency, yield, and overall profitability.
The integration of smart technologies in harvesting machinery represents a transformative shift in modern agriculture. By combining sensors, artificial intelligence (AI), automation, and connectivity, these technologies enhance the efficiency and effectiveness of harvesting processes. Sensors embedded in harvesting equipment gather real-time data on crop maturity, soil conditions, and environmental factors. This data is then processed by AI algorithms, which analyze and interpret the information. AI-driven insights guide decision-making, such as determining the optimal timing for harvest or adjusting equipment settings based on real-time conditions.
Automation plays a pivotal role in smart harvesting machinery. AI-powered automation helps in cutting, picking, sorting, and even quality assessment. This reduces the need for manual labor and minimizes errors, leading to increased operational efficiency and consistency in crop handling. Connectivity is another critical aspect. Harvesting equipment can be equipped with GPS and communication technologies, allowing for precise navigation and remote monitoring. This enables farmers to track machinery performance, monitor progress, and receive alerts in case of issues. The key companies operating in the smart harvest market are also engaged in the research and development and integration of smart technologies, resulting in creating opportunities from 2023 to 2028.
Ultimately, the integration of smart technologies optimizes the entire harvesting process. It maximizes yield quality by selectively harvesting ripe crops, reduces waste by minimizing damage, and enhances resource efficiency by precisely allocating labor and equipment. This not only boosts overall productivity and profitability but also contributes to sustainable agriculture by minimizing resource usage and environmental impact.
Product/Innovation Strategy: The product segment helps the reader to understand the different technologies used for smart harvest and their potential globally. Moreover, the study gives the reader a detailed understanding of the different solutions provided by smart harvest providers for imaging, processing, and analyzing. Compared to conventional agricultural methods, smart harvest enables more exact targeting of harvest, crop mapping, and crop growth detection, allowing farmers to save money by maximizing the use of their inputs.
Growth/Marketing Strategy: The global smart harvest market has seen major development by key players operating in the market, such as business expansion, partnership, collaboration, and joint venture. The favored strategy for the companies has been partnership, collaboration, and joint venture activities to strengthen their position in the global smart harvest market.
Competitive Strategy: Key players in the global smart harvest market analyzed and profiled in the study involve smart harvest-based product manufacturers, including market segments covered by distinct product kinds, applications served, and regional presence, as well as the influence of important market tactics employed. Moreover, a detailed competitive benchmarking of the players operating in the global smart harvest market has been done to help the reader understand how players stack against each other, presenting a clear market landscape. Additionally, comprehensive competitive strategies such as partnerships, agreements, and collaborations will aid the reader in understanding the untapped revenue pockets in the market.
Primary Data Sources: The primary sources involve industry experts from the agricultural industry and various stakeholders such as agricultural equipment manufacturers and equipment suppliers, smart farming technology developers, precision agriculture solution providers, and software and platform providers, among others. Respondents such as CEOs, vice presidents, marketing directors, and technology and innovation directors have been interviewed to obtain and verify both qualitative and quantitative aspects of this research study.
The key data points taken from primary sources include:
Secondary Data Sources: This research study involves the usage of extensive secondary research, directories, company websites, and annual reports. It also makes use of databases, such as ITU, Hoovers, Bloomberg, Businessweek, and Factiva, to collect useful and effective information for an extensive, technical, market-oriented, and commercial study of the global market. In addition to the aforementioned data sources, the study has been undertaken with the help of other data sources and websites, such as the United States Department of Agriculture, International Society of Precision Agriculture, World Bank, World Economic Forum, and Food and Agriculture Organization.
Secondary research was done in order to obtain crucial information about the industry's value chain, revenue models, the market's monetary chain, the total pool of key players, and the current and potential use cases and applications.
The key data points taken from secondary research include:
The companies that are profiled have been selected based on inputs gathered from primary experts and analyzing company coverage, product portfolio, applications, and market penetration. The global smart harvest market is a highly competitive and emerging industry, with many players competing for market share. The market is characterized by the presence of agricultural companies, technology-based firms, and start-ups. To survive competition in the fast-growing artificial intelligence (AI) and Internet of Things (IoT) integrated agriculture market, companies have developed strong strategies in recent years. Among all the strategies, the most preferred one by key players has been product launches, partnerships, collaborations, joint ventures, and alliances with other firms.
For instance, in February 2023, MetoMotion launched the first AI robot for picking tomatoes. This strategy strengthened the product portfolio of the company. In addition, in June 2022, Dogtooth Technologies Limited announced the release of its latest fleet of strawberry-harvesting robots, mainly in the U.K. and Australia, to ease growers' labor woes.
Other major players in the market include Harvest Automation, CNH Industrial N.V., Agrobot, Teradyne Inc., MetoMotion, Harvest CROO Robotics, Advanced Farm Technologies Inc., AMB Rousset, Deere & Company, which offers robots and self-propelled smart harvesters that harvest crops such as grain crops, fruits and vegetables, and others precisely with the help of smart sensors.
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