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市場調査レポート
商品コード
1717813
デジタル農業市場:製品タイプ、サービス、技術、農業タイプ、用途、エンドユーザー別-2025~2030年の世界予測Digital Agriculture Market by Product Type, Services, Technologies, Farming Type, Applications, End User - Global Forecast 2025-2030 |
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デジタル農業市場:製品タイプ、サービス、技術、農業タイプ、用途、エンドユーザー別-2025~2030年の世界予測 |
出版日: 2025年04月01日
発行: 360iResearch
ページ情報: 英文 196 Pages
納期: 即日から翌営業日
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デジタル農業市場は、2024年には218億5,000万米ドルとなり、2025年には240億8,000万米ドル、CAGR 10.52%で成長し、2030年には398億4,000万米ドルに達すると予測されています。
主要市場の統計 | |
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基準年 2024年 | 218億5,000万米ドル |
推定年 2025年 | 240億8,000万米ドル |
予測年 2030年 | 398億4,000万米ドル |
CAGR(%) | 10.52% |
デジタル農業は、技術と伝統的プラクティスを融合させ、より効率的で弾力性のあるサステイナブル農業システムを構築する、現代農業における最も決定的なイノベーションの1つとして台頭してきました。この前例のない時代において、最先端のソリューションは、利害関係者が作物管理、節水、収量最適化に取り組む方法に革命をもたらしつつあります。データ、接続性、精密技術への絶え間ない注目は、利害関係者が十分な情報に基づいた意思決定を行えるようにする、実用的な洞察を後押ししています。センサ技術、遠隔モニタリング、先進的データ分析の進化は、オペレーションを合理化するだけでなく、農業セクタにおける創造的な可能性を解き放りました。農業従事者やアグリビジネスのリーダーがデジタルトランスフォーメーションを取り入れることで、既成のプラクティスを再定義し、全体的な資源配備を最適化しています。この統合は、無駄の削減、生産物の品質の向上、生産プラクティスを新たな持続可能性のパラダイムに合わせることによる収益性の強化に役立つことが証明されています。技術の進歩と伝統的農業の知恵との相乗効果により、よりスマートな実践へのシームレスな移行が可能になりつつあります。この概要では、デジタル農業の多面的な側面を探り、それが現代の農業フードチェーンに与える影響を理解するための強固な土台を築きました。この産業が急速なペースで進化を続ける中、レジリエントで豊かな未来を形作るデジタル農業の可能性を完全に把握するためには、これらの動向を包括的に探ることが不可欠です。
デジタル農業の情勢を再定義する変革的変化
デジタル農業の展望は、技術と農業プラクティスのダイナミックな相互作用を強調する一連の変革的シフトによって再形成されつつあります。主要変化には、人工知能、ロボット工学、先進的センサネットワークといった破壊的技術の統合があり、これらは従来の調査手法に革命をもたらしつつあります。この変革は単なる自動化ではなく、データ主導の意思決定と精密管理へのシフトを意味し、農業バリューチェーンのあらゆる要素がリアルタイム洞察によって強化されます。新たなデジタルツールによって、アグリビジネスは天候パターンを予測し、土壌の健全性をモニタリングし、かつてない精度で作物を管理できるようになっています。その結果、農業従事者は効率的な資源管理を促進し、全体的な収量の質と持続可能性を向上させるイノベーションを受け入れています。こうしたシフトはまた、労働力不足、拡大性強化の必要性、サステイナブルプラクティスへの需要の高まりに対する産業の戦略的適応を意味します。接続性と先進的分析の融合は、よりスマートなサプライチェーン、先を見越したメンテナンススケジュール、市場の変動に対するより機敏な対応につながっています。現代技術と農業の融合はイノベーションを促進し、新たな成長機会を切り開くものであり、農業セクタ全体の利害関係者にとって、急速な変化、継続的な改善、変革の可能性を特徴とする時代となっています。
デジタル農業の主要セグメントに関する洞察のディープダイブ分析
デジタル農業市場の多様なコンポーネントを理解するには、多面的なセグメンテーションを詳細に見る必要があります。製品タイプ別に見ると、市場はハードウェア、サービス、ソフトウェアにわたって調査されています。ハードウェアの領域では、カメラや画像処理装置、ドローン、GPSやGNSS装置、精密モニタリングを可能にするセンサなどの進歩が反映されています。サービスに目を向けると、コンサルティングサービス、サポートとメンテナンス、システムインテグレーションに関する詳細な調査が行われており、それぞれがエコシステムの堅牢性に貢献しています。ソフトウェアの領域では、イノベーションはデータ分析とAIソフトウェア、農場管理ソフトウェアに区分され、さらに家畜モニタリングと精密農業に区分されます。さらに、具体的なサービスに基づいて市場を分析すると、事業戦略、リスク管理、技術導入に関するコンサルティングが重点セグメントであり、サービスとしてのデータ、インフラ管理、サブスクリプション・ベースの農学サポートをカバーするマネージドサービスが補足しています。サポートとメンテナンスはさらに、現場機器のメンテナンス、定期的なソフトウェア更新、技術サポートにまで及びます。さらなる洞察は、自動化された意思決定、作物病害の検出、予測分析が中心となるAIや機械学習などの技術による市場調査から得られ、データストレージ、遠隔管理システム、SaaS用途に重点を置くクラウドコンピューティングと並んでいます。さらに、ドローン、フィールドセンサ、家畜モニタリングデバイスを含むIoTデバイスは、ロボット工学や自動化と組み合わされ、この進化するセグメントで重要な役割を果たしています。最後に、作物モニタリング、精密農業、資源管理、サプライチェーン管理における詳細な用途とともに、農業タイプ(屋内農業と屋外農業)によるセグメンテーションは、この市場の多層的な力学を把握するために不可欠な包括的な図を完成させています。
TABLE 336
The Digital Agriculture Market was valued at USD 21.85 billion in 2024 and is projected to grow to USD 24.08 billion in 2025, with a CAGR of 10.52%, reaching USD 39.84 billion by 2030.
KEY MARKET STATISTICS | |
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Base Year [2024] | USD 21.85 billion |
Estimated Year [2025] | USD 24.08 billion |
Forecast Year [2030] | USD 39.84 billion |
CAGR (%) | 10.52% |
Digital agriculture has emerged as one of the most defining innovations in modern farming, merging technology and traditional practices to create more efficient, resilient, and sustainable agricultural systems. In this unprecedented era, cutting-edge solutions are revolutionizing the way stakeholders approach crop management, water conservation, and yield optimization. A relentless focus on data, connectivity, and precision techniques is driving actionable insights that empower stakeholders to make informed decisions. The evolution of sensor technology, remote monitoring, and advanced data analytics has not only streamlined operations but has also unlocked creative potentials in the agricultural sector. As farmers and agribusiness leaders embrace digital transformation, they are redefining established practices and optimizing resource deployment across the board. This integration has proven instrumental in reducing waste, improving output quality, and bolstering profitability by aligning production practices with emerging sustainability paradigms. The synergy between technological advancements and traditional farming wisdom is enabling a seamless transition towards smarter practices. Over the course of this summary, we will explore the multifaceted dimensions of digital agriculture, laying a strong foundation for understanding its impact on the modern agri-food chain. As the industry continues to evolve at a rapid pace, a comprehensive exploration of these trends is imperative to grasp the full potential of digital agriculture in shaping a resilient and prosperous future.
Transformative Shifts Redefining the Digital Agriculture Landscape
The digital agriculture landscape is being reshaped by a series of transformative shifts that underscore the dynamic interplay between technology and farming practices. Key changes include the integration of disruptive technologies such as artificial intelligence, robotics, and advanced sensor networks that are revolutionizing traditional methodologies. This transformation is not merely about automation; it represents a shift toward data-driven decision making and precision management, where every element of the agricultural value chain is enhanced by real-time insights. Emerging digital tools are allowing agribusinesses to predict weather patterns, monitor soil health, and manage crops with unprecedented precision. Consequently, farmers are embracing innovations that facilitate efficient resource management and improve overall yield quality and sustainability. These shifts also signify the industry's strategic adaptation to shortages in labor, the need for enhanced scalability, and an increasing demand for sustainable practices. The convergence of connectivity and advanced analytics is leading to smarter supply chains, proactive maintenance schedules, and more agile responses to market fluctuations. Ultimately, the convergence of modern technology with agriculture is driving innovation and opening up new opportunities for growth, making it an era marked by rapid change, continuous improvement, and transformative potential for stakeholders across the sector.
Deep Dive into Key Segmentation Insights in Digital Agriculture
Understanding the diverse components of the digital agriculture market requires a detailed look at its segmentation across multiple dimensions. When examined on the basis of product type, the market is studied across hardware, services, and software. Within the realm of hardware, advancements are reflected in cameras and imaging devices, drones, GPS and GNSS devices, alongside sensors that enable precision monitoring. Turning to services, the market observes a detailed study into consulting services, support and maintenance, as well as system integration, each contributing to the ecosystem's robustness. In the realm of software, innovations are segmented into data analytics and AI software, and farm management software which itself is further dissected into livestock monitoring and precision farming. Moreover, when analyzing the market based on services specifically, consultation on business strategy, risk management, and technology implementation are key areas of focus, supplemented by managed services that cover data as a service, infrastructure management, and subscription-based agronomic support. Support and maintenance further extend to field equipment maintenance, regular software updates, and technical support. Further insights come from studying the market based on technologies such as AI and machine learning where automated decision making, crop disease detection and predictive analytics are central, alongside cloud computing which emphasizes data storage, remote management systems and SaaS applications. Additionally, IoT devices including drones, field sensors and livestock monitoring devices, combined with robotics and automation, play a crucial role in this evolving sector. Finally, segmentation based on farming type-indoor and outdoor farming-along with detailed applications in crop monitoring, precision farming, resource management, and supply chain management, rounds out a comprehensive picture that is essential for grasping the multi-layered dynamics of this market.
Based on Product Type, market is studied across Hardware, Service, and Software. The Hardware is further studied across Cameras And Imaging Devices, Drones, GPS And GNSS Devices, and Sensors. The Service is further studied across Consulting Services, Support And Maintenance, and System Integration. The Software is further studied across Data Analytics And AI Software and Farm Management Software. The Farm Management Software is further studied across Livestock Monitoring and Precision Farming.
Based on Services, market is studied across Consulting Services, Managed Services, and Support and Maintenance. The Consulting Services is further studied across Business Strategy, Risk Management, and Technology Implementation. The Managed Services is further studied across Data as a Service (DaaS), Infrastructure Management, and Subscription-Based Agronomic Support. The Support and Maintenance is further studied across Field Equipment Maintenance, Software Updates, and Technical Support.
Based on Technologies, market is studied across AI and Machine Learning, Cloud Computing, IoT Devices, and Robotics and Automation. The AI and Machine Learning is further studied across Automated Decision Making, Crop Disease Detection, and Predictive Analytics. The Cloud Computing is further studied across Data Storage, Remote Management Systems, and Software as a Service (SaaS) Applications. The IoT Devices is further studied across Drones, Field Sensors, and Livestock Monitoring Devices.
Based on Farming Type, market is studied across Indoor Farming and Outdoor Farming.
Based on Applications, market is studied across Crop Monitoring, Precision Farming, Resource Management, and Supply Chain Management. The Crop Monitoring is further studied across Drone Surveying, Field Sensors, and Satellite Imaging. The Precision Farming is further studied across Field Mapping, In-Field Monitoring, and Variable Rate Technology. The Resource Management is further studied across Energy Management, Soil Management, and Water Management. The Supply Chain Management is further studied across Demand Forecasting, Inventory Tracking, and Procurement Optimization.
Based on End User, market is studied across Agribusinesses, Farmers, Government And Regulatory Body, and Research Institutes.
Regional Dynamics Shaping the Digital Agriculture Market
The evolution of digital agriculture is not uniform across the globe; it is characterized by stark regional variations that influence market dynamics and adoption rates. In the Americas, cutting-edge farming techniques and robust investment in technology have led to rapid advancements in mechanization and data-driven decision making. These regions benefit from a strong agricultural base paired with an accelerating adoption of innovative tools and practices. By contrast, Europe, the Middle East & Africa are witnessing a blend of traditional practices and digital integration, where historical farming know-how is increasingly enhanced by modern technology solutions. These regions are bolstering efforts to address both climate challenges and sustainable food production, leading to significant opportunities for digital solutions to optimize resource management and supply chain efficiency. The Asia-Pacific region emerges as a hub of rapid technological adoption, fuelled by large agrarian economies coupled with a willingness to experiment and integrate emerging technologies on a large scale. Here, smart farming solutions are not only modernizing existing practices but are also transforming productivity and output quality on an unprecedented scale. Collectively, these regional insights demonstrate that while challenges remain in harmonizing technology with traditional practices, the path to integration is well-defined by local market forces, governmental support, and a relentless drive to innovate in a competitive global landscape.
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.
Leading Industry Players Driving Digital Agriculture Innovation
The competitive landscape of digital agriculture is shaped by a myriad of global players who are setting the pace for innovation and transformation in the sector. Established entities such as Accenture PLC, AGCO Corporation, and AgGateway have consistently introduced solutions that integrate advanced technologies into farming operations. Companies including Agreena ApS, AgriWebb Pty Ltd., and AKVA group ASA are redefining industry standards through cutting-edge research and development programs. Arable Labs, Inc. and BASF SE have been instrumental in driving technology adoption, while Bayer AG and Ceres Imaging, Inc. continue to contribute significantly by offering precise, data-driven insights to practitioners. Further innovations have emerged from technology giants like Cisco Systems, Inc. and CropX Technologies Ltd., with Deere & Company leading the integration of traditional equipment with digitized operations. DeLaval by Tetra Laval Group, DTN, LLC, and Epicor Software Corporation are enhancing operational efficiency through scalable solutions, while Eurofins Scientific, Farmers Business Network, Inc. and Farmers Edge Inc. push the envelope in precision monitoring and analytics. Companies such as Gamaya by Mahindra & Mahindra, Hexagon AB, and International Business Machines Corporation feature prominently alongside Microsoft Corporation and PrecisionHawk, Inc. by Field Group. In addition, Raven Industries, Inc. by CNH Industrial N.V., Small Robot Company, and Syngenta Crop Protection AG continue to innovate relentlessly, with SZ DJI Technology Co., Ltd., Taranis Visual Ltd., TELUS Agriculture Solutions Inc., Trimble Inc., and Vodafone Group PLC rounding out a landscape filled with strategic ingenuity and technological prowess that furthers the market's evolution.
The report delves into recent significant developments in the Digital Agriculture Market, highlighting leading vendors and their innovative profiles. These include Accenture PLC, AGCO Corporation, AgGateway, Agreena ApS, AgriWebb Pty Ltd., AKVA group ASA, Arable Labs, Inc., BASF SE, Bayer AG, Ceres Imaging, Inc., Cisco Systems, Inc., CropX Technologies Ltd., Deere & Company, DeLaval by Tetra Laval Group, DTN, LLC, Epicor Software Corporation, Eurofins Scientific, Farmers Business Network, Inc., Farmers Edge Inc., Gamaya by Mahindra & Mahindra, Hexagon AB, International Business Machines Corporation, Microsoft Corporation, PrecisionHawk, Inc. by Field Group, Raven Industries, Inc. by CNH Industrial N.V., Small Robot Company, Syngenta Crop Protection AG, SZ DJI Technology Co., Ltd., Taranis Visual Ltd., TELUS Agriculture Solutions Inc., Trimble Inc., and Vodafone Group PLC. Strategic, Actionable Recommendations for Industry Leaders
In light of the rapid technological evolution and dynamic market transformations, industry leaders are advised to adopt a proactive approach to harness emerging opportunities. It is crucial that organizations invest in scalable digital infrastructures and strategic partnerships that facilitate integration across multiple segments of the value chain. Leaders should develop robust roadmaps for technology adoption that incorporate both short-term initiatives such as field equipment maintenance and long-term investments in AI, machine learning and cloud-based analytics platforms. Embracing a forward-looking strategy entails refining risk management frameworks to deal with unpredictability and diversifying service portfolios to include both consulting and managed services. Prioritizing continuous research and development is imperative, and organizations should harness insights from advanced analytics to drive operational efficiencies while optimizing resource consumption. Furthermore, the emphasis should be on leveraging data-driven insights to refine supply chain operations and address challenges related to sustainability and environmental compliance. Decision-makers must foster innovation by integrating user feedback and industry benchmarks, ensuring that technology deployment aligns with localized demands. Ultimately, the key to sustainable success lies in the ability to innovate rapidly, maintain agility in strategy, and develop comprehensive action plans that position organizations as leaders in the digital agriculture revolution.
Bringing the Insights Together: A Conclusive Overview
In conclusion, the digital transformation of agriculture presents a compelling narrative of innovation and sustainability. The evolution of the industry is underpinned by profound shifts that touch every aspect of the value chain-from the development of advanced hardware and software solutions to the integration of sophisticated service mechanisms. With detailed segmentation analysis offering clarity on product types, services, and technologies, stakeholders can make informed decisions that leverage both scale and specificity. The analysis of geographic dynamics shows clear distinctions in the pace and nature of digital adoption across the Americas, Europe, the Middle East & Africa, and the Asia-Pacific region, each with its own set of challenges and opportunities. Furthermore, the competitive landscape is enriched by a diverse mix of established and emerging players who continue to drive innovation and elevate industry standards. These insights converge to create a rich tapestry of opportunities that encourage collaboration, agile strategy development, and the pursuit of technological excellence. As market dynamics continue to evolve, successful navigation will depend on the ability to integrate deep analytical insights with actionable strategies, ensuring a resilient and forward-thinking approach that propels the entire industry into a new era of growth and efficiency.