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市場調査レポート
商品コード
1714746
スマート農業市場:コンポーネント、ソリューション、電源、アプリケーション、農場タイプ別-2025-2030年世界予測Smart Agriculture Market by Component, Solutions, Power Sources, Application, Farm Type - Global Forecast 2025-2030 |
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カスタマイズ可能
適宜更新あり
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スマート農業市場:コンポーネント、ソリューション、電源、アプリケーション、農場タイプ別-2025-2030年世界予測 |
出版日: 2025年04月01日
発行: 360iResearch
ページ情報: 英文 181 Pages
納期: 即日から翌営業日
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スマート農業市場は、2024年には187億1,000万米ドルとなり、2025年には213億1,000万米ドル、CAGR14.69%で成長し、2030年には425億9,000万米ドルに達すると予測されています。
主な市場の統計 | |
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基準年 2024 | 187億1,000万米ドル |
推定年 2025 | 213億1,000万米ドル |
予測年 2030 | 425億9,000万米ドル |
CAGR(%) | 14.69% |
スマート農業は、農業がテクノロジーとデータを活用して生産性を向上させる方法における革命的な転換を意味します。過去10年間で、デジタルトランスフォーメーションは農村の風景に徐々に浸透し、農家や農業関連企業は、伝統的な慣行と最新テクノロジーのギャップを埋める革新的なソリューションを採用できるようになりました。今日の農業経営は、農業科学、先進コンピューティング、スマートセンサー技術の強力なコラボレーションによって特徴付けられています。この相乗効果は、収穫量を最適化するだけでなく、環境を保護する持続可能な慣行をサポートします。
このダイナミックな状況において、精密農業、遠隔モニタリング、リアルタイム分析は、意思決定プロセスにおいて不可欠な役割を果たし、最終的に効率を高め、無駄を削減します。接続性と自動化が改善されるにつれて、農業エコシステムの利害関係者は、圃場の状態を監視し、資源を効率的に管理し、市場の混乱をより正確に予測する権限をますます与えられています。データ・サイエンスから農学に至るまで、こうした様々な分野の融合が、より効率的で弾力性があり、適応性のある農業モデルへの道を開いています。
本レポートでは、スマートアグリが世界の産業動向の最前線に躍り出た要因について深く掘り下げています。同分野を席巻する課題と革新的なソリューションの両方を取り上げることで、この分析は、技術の進歩を活用して経営パフォーマンスと市場競争力を最大化しようとする意思決定者の指針となります。
スマート農業の情勢における変革的変化
スマート農業の情勢は、革新的な技術の急速な進歩と進化する市場の需要に牽引され、変革的な変化を遂げています。デジタル化はこうした変化の重要な触媒となり、従来のプロセスをより効率的で俊敏な、データ主導の実践へと変えてきました。自動化、人工知能、モノのインターネット(IoT)の統合は、作物の収量や資源管理に直接影響を与える、現場モニタリングや予測分析を強化する機会を生み出しました。
このようなパラダイムシフトは、最先端のハードウェアの導入にとどまらず、情報の処理方法や対処方法にも及んでいます。ドローン技術、ロボット工学、高度な衛星画像の採用により、より正確なマッピングとタイムリーな介入が可能になりました。並行して、クラウドベースのデータ分析と機械学習アプリケーションへの移行は、意思決定を改善し、業務効率を最大化する洗練されたシステムを生み出しました。伝統的な農法が最新のテクノロジーによって補強され、利害関係者はトレーサビリティ、品質管理、リスク管理の改善から利益を得ています。
さらに、こうした変化は、再生可能エネルギー源の統合と接続性の強化によって促進されています。持続可能な農法への転換は、エネルギー消費と環境管理への積極的なアプローチに現れています。この包括的な変革は、農業の将来に対する弾力的なビジョンを維持しながら、革新的なインフラに投資することの重要性を強調しています。
多様な市場アプローチに向けた主要市場セグメンテーションの洞察
スマート農業セクターの多面的な力学を完全に把握するには、市場セグメンテーションの詳細な理解が不可欠です。コンポーネントの観点から、市場はハードウェア、サービス、ソフトウェアに分解されます。ハードウェア・ソリューションには、リアルタイムのデータ収集を可能にするフィールド・センサーやハンドヘルド・デバイスといった重要な要素が含まれます。一方、サービス分野は、保守・サポート・サービスとともにコンサルティング・サービスを中心に強固に構成されており、運用の継続性と戦略的指針を確保しています。これらを補完するのがソフトウェア・セグメントで、生データを実用的な洞察に変換する高度なデータ分析プラットフォームと包括的な農場管理システムによって支えられています。
コンポーネントを超えて、ソリューションベースのセグメンテーションは、コンプライアンスとレポーティング、データ分析、農場管理、精密農業に製品を分類することで、市場洞察をさらに洗練させる。これらのカテゴリーは、規制遵守要件と強化された運用手法が、最先端のデータ分析とどのように融合し、収量と効率を最適化するかを明らかにしています。同様に、電源に基づくセグメンテーションでは、市場をバッテリー・ストレージ、ハイブリッド・システム、太陽光発電、風力発電などのセグメントに分けています。特に太陽光発電は、太陽光発電パネルと太陽熱ソリューションにさらに分類され、現代農業で採用されている多様なエネルギー戦略を反映しています。
アプリケーションベースのセグメンテーションは、農業ロジスティクス、作物管理、フィールドマッピング、水管理などの業務分野を評価することで、さらに複雑なレイヤーを追加します。例えば、農業ロジスティクスは、コールドチェーン・ロジスティクスから車両管理までをカバーし、作物管理は、養分管理と害虫管理を掘り下げています。例えば、農業ロジスティクスは、コールドチェーン・ロジスティクスから車両管理までをカバーし、農作物管理は、養分管理と害虫管理を掘り下げています。ここでは、養分管理は、大栄養素と微量栄養素のモニタリングというレンズを通して分析され、害虫管理は、生物学的防除と化学的防除戦略に分けられます。さらに、圃場マッピングのセグメントには、作物の健康状態のマッピング、土壌マッピング、収量マッピングが含まれ、詳細な作業分析をサポートします。
最後に、農場タイプに基づくセグメンテーションでは、大規模農場、中規模農場、小規模農場が区別されます。大規模経営の中では、企業農業と研究開発農場がさらに区別され、この業界における革新と商業化へのアプローチを示しています。この詳細なセグメンテーションは、スマート農業市場の複雑さを示すだけでなく、製品開拓、市場参入戦略、投資決定に対する戦略的方向性を示しています。
The Smart Agriculture Market was valued at USD 18.71 billion in 2024 and is projected to grow to USD 21.31 billion in 2025, with a CAGR of 14.69%, reaching USD 42.59 billion by 2030.
KEY MARKET STATISTICS | |
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Base Year [2024] | USD 18.71 billion |
Estimated Year [2025] | USD 21.31 billion |
Forecast Year [2030] | USD 42.59 billion |
CAGR (%) | 14.69% |
Smart agriculture represents a revolutionary shift in the way the farming industry harnesses technology and data to enhance productivity. Over the past decade, digital transformation has gradually permeated rural landscapes, enabling farmers and agribusinesses to adopt innovative solutions that bridge the gap between traditional practices and modern technology. Today's agricultural operations are characterized by strong collaborations between agricultural science, advanced computing, and smart sensor technology. This synergy not only optimizes yield but also supports sustainable practices that safeguard the environment.
In this dynamic landscape, precision farming, remote monitoring, and real-time analytics play an integral role in decision-making processes, ultimately driving efficiency and reducing waste. As connectivity and automation improve, stakeholders in the agricultural ecosystem are increasingly empowered to monitor field conditions, manage resources effectively, and anticipate market disruptions with greater accuracy. The convergence of these varied disciplines - from data science to agronomy - is paving the way for a more efficient, resilient, and adaptable agricultural model.
This report provides an in-depth exploration into the factors that have brought smart agriculture to the forefront of global industry trends. By addressing both the challenges and the innovative solutions sweeping the sector, this analysis serves as a guide for decision-makers looking to leverage technological advances to maximize operational performance and market competitiveness.
Transformative Shifts in the Landscape of Smart Agriculture
The landscape of smart agriculture has undergone transformative shifts driven by rapid advancements in innovative technologies and evolving market demands. Digitalization has been a key catalyst in these changes, transforming conventional processes into more efficient, agile, and data-driven practices. The integration of automation, artificial intelligence, and the Internet of Things (IoT) has created opportunities for enhanced field monitoring and predictive analytics that directly impact crop yield and resource management.
These paradigm shifts are not limited to the introduction of cutting-edge hardware but also extend to the way information is processed and acted upon. The adoption of drone technology, robotics, and advanced satellite imaging has allowed for more precise mapping and timely interventions. In parallel, the move to cloud-based data analytics and machine learning applications has given rise to sophisticated systems that improve decision-making and maximize operational efficiency. With traditional farming methods being augmented by modern technology, stakeholders now benefit from improved traceability, quality control, and risk management.
Furthermore, these changes are catalyzed by the integration of renewable energy sources and enhanced connectivity. The shift toward sustainable farming practices is manifesting in a proactive approach to energy consumption and environmental stewardship. This comprehensive transformation underscores the importance of investing in innovative infrastructure while maintaining a resilient vision for the future of agriculture.
Key Segmentation Insights for a Diversified Market Approach
A granular understanding of market segmentation is essential to fully grasp the multifaceted dynamics of the smart agriculture sector. From a component perspective, the market is decomposed into hardware, services, and software. Hardware solutions encompass critical elements such as field sensors and handheld devices that enable real-time data collection. Meanwhile, the services domain is robustly structured around consulting services alongside maintenance and support services, ensuring operational continuity and strategic guidance. Complementing these is the software segment, which is powered by advanced data analytics platforms and comprehensive farm management systems that transform raw data into actionable insights.
Beyond the components, solution-based segmentation further refines market insights by categorizing offerings into compliance and reporting, data analytics, farm management, and precision agriculture. These categories illuminate how regulatory compliance requirements and enhanced operational methodologies converge with state-of-the-art data analytics to optimize yield and efficiency. In a similar vein, the segmentation based on power sources dissects the market into segments such as battery storage, hybrid systems, solar power, and wind power. Notably, solar power is further dissected into photovoltaic panels and solar thermal solutions, reflecting the diverse energy strategies employed in modern farming.
Application-based segmentation adds another layer of complexity by evaluating operational areas like agricultural logistics, crop management, field mapping, and water management. Within these applications, each sub-category provides a deeper insight; for example, agricultural logistics covers aspects ranging from cold chain logistics to fleet management, while crop management delves into nutrient management and pest management. Here, nutrient management is analyzed through the lenses of macronutrient and micronutrient monitoring, and pest management is divided between biological control and chemical control strategies. Additionally, the field mapping segment includes crop health mapping, soil mapping, and yield mapping to support a detailed operational analysis, and water management is expanded to incorporate both rainwater harvesting and modern storage and distribution techniques.
Lastly, the segmentation based on farm type distinguishes between large-scale, medium-scale, and small-scale farms. Within large-scale operations, further distinctions are made between corporate farming and research and development farms, signaling a tailored approach to innovation and commercialization in the industry. This detailed segmentation not only illustrates the complexity of the smart agriculture market, but it also provides strategic direction for product development, market entry strategies, and investment decisions.
Based on Component, market is studied across Hardware, Services, and Software. The Hardware is further studied across Field Sensors and Handheld Devices. The Services is further studied across Consulting Services and Maintenance and Support Services. The Software is further studied across Data Analytics Platforms and Farm Management Systems.
Based on Solutions, market is studied across Compliance and Reporting, Data Analytics, Farm Management, and Precision Agriculture.
Based on Power Sources, market is studied across Battery Storage, Hybrid Systems, Solar Power, and Wind Power. The Solar Power is further studied across Photovoltaic Panels and Solar Thermal.
Based on Application, market is studied across Agricultural Logistics, Crop Management, Field Mapping, and Water Management. The Agricultural Logistics is further studied across Cold Chain Logistics and Fleet Management. The Crop Management is further studied across Nutrient Management and Pest Management. The Nutrient Management is further studied across Macronutrient Monitoring and Micronutrient Monitoring. The Pest Management is further studied across Biological Control and Chemical Control. The Field Mapping is further studied across Crop Health Mapping, Soil Mapping, and Yield Mapping. The Water Management is further studied across Rainwater Harvesting and Storage and Distribution.
Based on Farm Type, market is studied across Large-scale Farms, Medium-scale Farms, and Small-scale Farms. The Large-scale Farms is further studied across Corporate Farming and Research and Development Farms.
Key Regional Insights: Navigating Global Diversity in Market Trends
The smart agriculture market displays a diverse set of dynamics when observed across different global regions. In the Americas, the technological evolution in farming is driven by a robust mix of advanced infrastructure and a proactive adoption of cutting-edge innovations. The region is characterized by a mature market where integration of sensor technology and data-driven decision-making processes have become the norm, creating a competitive environment that continually pushes the boundaries of operational efficiency.
Across Europe, the Middle East, and Africa, the market is being transformed by both regulatory impetus and a growing awareness of sustainable practices. The European market, in particular, benefits from stringent environmental standards and a high rate of technology adoption that drives innovation in precision agriculture. The Middle Eastern and African sectors, meanwhile, are witnessing rapid growth spurred by necessary adaptations to harsh environmental conditions and the urgent need to enhance food security using smart agricultural solutions.
Asia-Pacific, on the other hand, represents an emerging powerhouse within the smart agriculture landscape. Rapid urbanization, combined with increasing investment in technological infrastructure, is fueling demand for scalable, efficient agricultural practices. The region is noted for its dynamic integration of traditional knowledge with modern technology, which supports both small-scale and large-scale farming operations, thus presenting unique growth opportunities and challenges that underscore the global diversity of smart agriculture practices.
Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.
Key Companies Insights: Leading Innovators Shaping the Future of Farming
The competitive landscape of smart agriculture is defined by a roster of influential companies that continually push the boundaries of technological innovation and efficiency. Leading organizations such as AG Leader Technology and AgCinect LLC have distinguished themselves by integrating advanced data analytics and sensor technologies to create tailored solutions for diverse agricultural needs. Companies like AGCO Corporation and AgEagle Aerial Systems Inc. have leveraged cutting-edge research to develop precision agriculture tools that not only enhance crop management but also offer sustainable growth strategies.
Other notable players including Agrivi d.o.o. and AGROBOT have paved the way for automated systems that increase operational efficiency while minimizing resource wastage. Likewise, firms such as Agworld Pty Ltd. and CNH Industrial N.V. provide comprehensive services that span hardware integration, machine learning applications, and robust diagnostics frameworks. The market is further enriched by the innovative contributions of Cropin Technology Solutions Pvt. Ltd., CropZilla Inc., and Deere & Company, each of which brings a unique technological expertise to the table.
Additional frontrunners including DeLaval Inc., Equinox's Drones Pvt. Ltd., Fancom B.V., and Farmers Edge Inc. enhance the technological landscape with groundbreaking advancements in drone technology and real-time monitoring systems. The influence of global giants like GEA Group Aktiengesellschaft and Hexagon AB, alongside Innovasea Systems, Inc. and Jingxun Changtong Electronic Technology Co., Ltd., underscores a consistent drive towards integrating precision, sustainability, and efficiency into the market. Furthermore, companies such as Lely International N.V., Nelson Irrigation Corporation, SZ DJI Technology Co., Ltd., The Climate Corporation by Bayer AG, Topcon Positioning Systems, Inc., and Trimble Inc. stand at the forefront, each contributing to the modernization and transformation of agricultural best practices on a global scale.
The report delves into recent significant developments in the Smart Agriculture Market, highlighting leading vendors and their innovative profiles. These include AG Leader Technology, AgCinect LLC, AGCO Corporation, AgEagle Aerial Systems Inc., Agrivi d.o.o., AGROBOT, Agworld Pty Ltd., CNH Industrial N.V., Cropin Technology Solutions Pvt. Ltd., CropZilla Inc., Deere & Company, DeLaval Inc., Equinox's Drones Pvt. Ltd., Fancom B.V., Farmers Edge Inc., GEA Group Aktiengesellschaft, Hexagon AB, Innovasea Systems, Inc., Jingxun Changtong Electronic Technology Co., Ltd., Lely International N.V., Nelson Irrigation Corporation, SZ DJI Technology Co., Ltd., The Climate Corporation by Bayer AG, Topcon Positioning Systems, Inc., and Trimble Inc.. Actionable Recommendations for Industry Leaders to Accelerate Growth
Industry leaders are encouraged to adopt a multi-pronged approach that prioritizes sustainable technology integration, robust data management, and agile market strategies. Decision-makers should invest in research and development to continuously innovate in areas such as automated field operations and advanced sensor technologies. Strengthening partnerships with technology providers and academic institutions can yield substantial benefits in predictive analytics and precision farming. Leaders should also focus on customer-centric strategies that align with evolving regulatory standards and environmental sustainability goals.
Leveraging the comprehensive segmentation insights, companies can develop targeted strategies that address specific market needs-from modular hardware systems to tailored software solutions that streamline farm management. It is vital to explore alternative power sources and renewable energy integrations that can reduce cost and environmental impact over the long term. Additionally, optimizing operations for diverse farm types and geographical regions will ensure a resilient product offering that matches both market conditions and consumer expectations. Emphasizing scalable solutions while ensuring high levels of adaptability will position organizations to capitalize on the emerging opportunities within this dynamic industry.
Conclusion: Embracing the Future of Smart Agriculture
In summary, the smart agriculture landscape is undergoing a period of rapid transformation propelled by technological advancements, detailed market segmentation, and global diversification. The convergence of hardware, software, and service innovations is enabling more efficient farming practices and establishing new benchmarks for sustainability. As regional dynamics shift and leading companies continue to innovate, stakeholders across the agricultural sector have a unique opportunity to harness these trends for sustainable growth and improved productivity.
A clear emphasis on technology adoption, combined with a rigorous understanding of market segmentation, underpins the transformative nature of the current agricultural paradigm. The insights detailed in this analysis highlight the strategic imperatives that will guide industry players toward long-term success.