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市場調査レポート
商品コード
1596890
農業アナリティクスの市場規模、シェア、成長分析、提供別、農業タイプ別、農場規模別、地域別 - 産業予測、2024年~2031年Agriculture Analytics Market Size, Share, Growth Analysis, By Offering (Solutions, Services), By Agriculture Type (Precision Farming, Livestock Farming), By Farm Size (Small and Medium-sized Farms, Large Farms), By Region - Industry Forecast 2024-2031 |
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農業アナリティクスの市場規模、シェア、成長分析、提供別、農業タイプ別、農場規模別、地域別 - 産業予測、2024年~2031年 |
出版日: 2024年11月19日
発行: SkyQuest
ページ情報: 英文 233 Pages
納期: 3~5営業日
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農業アナリティクスの世界市場規模は、2022年に12億米ドルと評価され、2023年の13億6,000万米ドルから2031年には36億6,000万米ドルに成長し、予測期間中(2024年~2031年)のCAGRは13.20%で成長する見通しです。
農業分野は、ビッグデータ、人工知能、クラウドコンピューティング、モノのインターネットなどの最先端技術を急速に取り入れ、作物管理、家畜モニタリング、圃場最適化などの農作業を強化・自動化しています。このシフトは主に、急増する人口により2倍以上になると予測される、世界の食糧需要の高まりによって推進されています。都市化、気候変動、水不足などの影響を受けて耕地がますます不足する中、民間会社と政府のイニシアティブの両方が、都市型・垂直型農業ソリューションを積極的に推進しています。こうした革新的な農法は、未利用の建物や荒地を活用し、構造化された垂直栽培システムを通じて作物の収量を最適化するものです。同時に、農業分析ソリューションのニーズが高まることで、農家は土壌の品質、圃場組織、育種方法、灌漑技術などの重要な要因を監視できるようになり、損失を最小限に抑えて作物の品質を高めることができます。農業分析技術の統合は、食糧供給という差し迫った課題に対処するだけでなく、将来の需要に持続的かつ効率的に対応できるよう農業業界を位置づけています。こうした動向に対応して農業の状況が進化する中、利害関係者は、こうした変革的な技術的進歩の可能性をフルに活用するために、適応力と情報収集を怠らないようにしなければならないです。
Global Agriculture Analytics Market size was valued at USD 1.2 billion in 2022 and is poised to grow from USD 1.36 billion in 2023 to USD 3.66 billion by 2031, growing at a CAGR of 13.20% during the forecast period (2024-2031).
The agricultural sector is rapidly embracing cutting-edge technologies such as big data, artificial intelligence, cloud computing, and the Internet of Things to enhance and automate farming practices, including crop management, livestock monitoring, and field optimization. This shift is primarily propelled by the escalating global food demand, which is projected to more than double due to a burgeoning population. As arable land becomes increasingly scarce-impacted by urbanization, climate change, and water shortages-both private companies and government initiatives are actively promoting urban and vertical farming solutions. These innovative agricultural practices leverage underutilized buildings and wasteland to optimize crop yields through structured vertical growing systems. Concurrently, the growing need for agricultural analytics solutions enables farmers to monitor critical factors such as soil quality, field organization, breeding practices, and irrigation techniques, thereby minimizing losses and enhancing crop quality. The integration of agro analytics technology not only addresses the pressing challenges of food supply but also positions the agriculture industry to meet future demands sustainably and efficiently. As the agricultural landscape evolves in response to these trends, stakeholders must remain adaptive and informed to harness the full potential of these transformative technological advancements.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Agriculture Analytics 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 analyzed to get the final quantitative and qualitative data.
Global Agriculture Analytics Market Segmental Analysis
Global Agriculture Analytics Market is segmented by Offering, Agriculture Type, Farm Size, Technology, End Users, and region. Based on Offering, the market is segmented into Solutions, Services. Based on Agriculture Type, the market is segmented into Precision Farming, Livestock Farming, Aquaculture Farming, Vertical Farming, and Other Agriculture Type. Based on Farm Size, the market is segmented into Small and Medium-sized Farms, Large Farms. Based on Technology, the market is segmented into Remote Sensing and Satellite Imagery, Geographic Information System, Robotics and Automation, Big Data and Cloud Computing, Visualization and Reporting, Blockchain Technology, and Other Technology. Based on End Users, the market is segmented into Farmers, Agronomists, Agribusinesses, Agricultural Researchers, Government Agencies, Other End Users. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & and Africa.
Driver of the Global Agriculture Analytics Market
The global agriculture analytics market is significantly driven by the increasing potential of urban agriculture, which has gained prominence in recent years as individuals engage in food cultivation within community gardens or on rooftops. This growing trend not only ensures the provision of locally sourced crops to urban dwellers but also offers numerous additional benefits that extend beyond mere food production. Urban farming positively affects the environment by mitigating runoff during heavy rainfall and enhancing air quality. Furthermore, the collaborative effort involved in cultivating and maintaining these urban plots fosters stronger social connections within communities, thereby propelling the demand for agriculture analytics solutions.
Restraints in the Global Agriculture Analytics Market
The Global Agriculture Analytics market faces significant restraints primarily due to the high costs associated with obtaining accurate field data. The initial investment required for AI technology adoption in agriculture poses a challenge for many farmers, who are often reluctant to spend on advanced farming equipment, skilled labor, and technology integration. Gathering precise data through satellite, GPS, drones, and Geographic Information Systems (GIS) necessitates substantial financial commitments. Additionally, expenses related to geographical data collection and data management training further complicate the situation. The high price tags of advanced tools like drones and autonomous tractors with GPS capabilities deter many from fully embracing these innovative solutions.
Market Trends of the Global Agriculture Analytics Market
The Global Agriculture Analytics market is witnessing a significant upward trend, driven by the increasing adoption of IoT devices and AI technologies in farming operations. These innovations are transforming traditional farming practices by providing real-time data analytics that enhance decision-making processes related to crop management and livestock health. Specifically, IoT devices monitor critical factors like soil fertility and animal breeding success, enabling farmers to optimize yields and reduce losses. As reliance on data-driven insights grows, the integration of advanced analytics in agriculture is expected to expand, paving the way for more efficient and sustainable farming practices throughout the forecast period.