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農業用ロボットの世界市場規模、シェア、成長分析、製品タイプ別、用途別-産業予測、2023~2030年Global Agricultural Robots Market Size, Share, Growth Analysis, By Product Type(Unmanned aerial vehicles (UAVs), milking Robots), By Application(Field Farming, dairy Management) - Industry Forecast 2023-2030 |
農業用ロボットの世界市場規模、シェア、成長分析、製品タイプ別、用途別-産業予測、2023~2030年 |
出版日: 2024年02月21日
発行: SkyQuest
ページ情報: 英文 157 Pages
納期: 3~5営業日
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農業用ロボットの世界市場規模は2022年に55億米ドルと評価され、予測期間中(2024~2031年)のCAGRは39.49%で、2023年の76億7,000万米ドルから2031年には1,099億6,000万米ドルに成長する展望です。
世界の農業用ロボット市場は、世界規模で大幅な成長を遂げています。当社の包括的なレポートには、メーカーが予測期間中に競争上の優位性を獲得するために活用できる詳細なバリューチェーン分析が含まれています。農業従事者の間で農業ロボットの人気が高まっているのは、持続可能性を確保しながら農業生産性を向上させることが急務となっているためです。これらのロボットは、畑作、酪農、種子選別、土壌管理などの作業を行い、人間の介入を最小限に抑えて農業プロセスを迅速化する上で重要な役割を果たしています。農業用ロボット市場の成長要因には、世界人口の増加、食糧供給需要の高まり、室内農業への関心の高まり、頻繁な気候変動、自動化技術の受け入れ拡大などがあります。こうした前向きな動向にもかかわらず、世界の農業ロボットセグメントでは、農業従事者の農業ロボットに対する理解が限定的であることや、ロボットが人間のような器用さを再現できないなどの課題に直面することが予想されます。しかし、テレマティクス・センサーの採用は、世界市場に大きなチャンスをもたらします。世界各国の政府は、生産高向上のための補助金や支援を提供したり、農業ロボットについて農業従事者を教育するキャンペーンを開始したりするなど、積極的な対策を講じています。例えば、欧州連合(EU)は、労働集約的な作業を高度な自動化技術に置き換えることを目指し、GRAPEやMARSのようなイニシアチブを支援しています。さらに、既存・新規の農業関連企業が研究開発活動に投資し、農業用ロボットの最先端ラインを導入しており、予測期間を通じて市場の成長をさらに促進しています。
Global Agricultural Robots Market size was valued at USD 5.5 Billion in 2022 and is poised to grow from USD 7.67 Billion in 2023 to USD 109.96 Billion by 2031, at a CAGR of 39.49% during the forecast period (2024-2031).
The global agricultural robots market is witnessing substantial growth on a worldwide scale. Our comprehensive report includes a detailed value chain analysis that manufacturers can leverage to attain a competitive advantage in the anticipated period. The increasing popularity of agricultural robots among farmers is driven by the imperative to enhance agricultural productivity while ensuring sustainability. These robots play a crucial role in expediting farming processes with minimal human intervention, performing tasks such as field farming, dairy farming, seed sorting, and soil management. Factors contributing to the growth of the agricultural robots market include a rising global population, heightened demand for food supply, growing interest in indoor farming, frequent climatic fluctuations, and an increased acceptance of automation technologies. Despite these positive trends, the global agricultural robotics sector is expected to encounter challenges, including farmers' limited understanding of agricultural robots and the robots' inability to replicate human-like dexterity. However, the adoption of telematics sensors presents a significant global market opportunity. Governments worldwide are taking proactive measures, such as providing subsidies and assistance to enhance output, as well as launching campaigns to educate farmers about agricultural robots. For instance, the European Union is supporting initiatives like GRAPE and MARS, aiming to replace labour-intensive tasks with advanced automated technology. Additionally, both existing and new agricultural companies are investing in research and development activities to introduce cutting-edge lines of agricultural robots, further fuelling the market's growth throughout the forecast period.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Agricultural Robots Market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analysed to get the final quantitative and qualitative data.
Global Agricultural Robots Market Segmental Analysis
Global Agricultural Robots Market is segmented on the basis of product type, application and region. By product type, the market is segmented into unmanned aerial vehicles (UAVs), milking robots, driverless tractors, automated harvesting systems. By application, the market is segmented into field farming, dairy management, horticulture, livestock management. By region, the market is segmented into North America, Europe, Asia Pacific, Middle East and Africa, and Latin America.
Drivers of the Global Agricultural Robots Market
Numerous global regions are grappling with the difficulty of securing a sufficient workforce for agricultural activities. Challenges like rural-to-urban migration, an aging farming demographic, and the lack of appeal in manual labour within agriculture have exacerbated this issue. Agricultural robots emerge as a practical solution, automating diverse tasks, diminishing dependence on human labour, and enhancing operational efficiency. Capable of executing precise activities such as planting, harvesting, and crop monitoring, these robots contribute to heightened productivity and decreased labour expenses.
Restraints in the Global Agricultural Robots Market
The implementation of agricultural robots typically involves significant financial commitments, encompassing the acquisition of robots, sensor technologies, and infrastructure enhancements. The inclusion of research and development costs, along with the integration of sophisticated technologies like AI and machine learning, contributes to the overall expenditure. This upfront financial outlay may pose a considerable obstacle to adoption, especially for small and medium-sized farms. Moreover, ongoing expenses related to maintenance, training, and potential difficulties in integration can further elevate the total cost of ownership.
Market Trends of the Global Agricultural Robots Market
The integration of AI and ML technologies provides advanced capabilities for data analysis and interpretation in the realm of agricultural robots. This allows these robots to collect valuable insights on aspects such as crop health, soil conditions, weather patterns, and pest infestations. Leveraging this information empowers farmers to make data-driven decisions, optimize resource allocation, and implement precision farming practices. The adaptive and learning capabilities enabled by AI and ML enable robots to continuously analyze data and refine their operations based on feedback. This iterative process contributes to a continual improvement in the performance of agricultural robots over time.