The global agriculture analytics market was valued at USD 698.8 million in 2019 and is expected to exhibit a CAGR of 16.1% over the forecast period. Agriculture analytics refers to the adoption of techniques in the agricultural field such as Big Data, IoT and other analytical instruments. The reception of advancements for economical farming frameworks is a difficult and dynamic issue for farmers, augmentation of administrations, agriculture business and strategy creators. The horticultural area needs to utilize a wide scope of advancing innovations and ranch rehearses crosswise over a wide range of cultivating frameworks and structures to meet an assortment of changing and heterogeneous requests from buyers and people in general for grain, fiber and different goods and services through agriculture, regularly with unsure results in wording of their consequences for sustainability.
The increasing focus on agribusiness profitability is driving the adoption of agricultural analytics for efficient assessment and the development of the global agricultural analytics market is driven by critical farm-related information for better decision-making. This makes it difficult to identify the perfect products for productivity improvement. Therefore, the implementation of agricultural analytics to analyze this information is increasing, which stimulates the development of the worldwide market for agricultural analytics. In addition, the increasing need for livestock management, which increases farmers burden and can lead to mismanagement, fosters the development of the global agriculture analytics market. To eliminate the hazards associated with this mismanagement and increasing need for animal tracking, the development of the global market is also promoted.
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In addition, increasing implementation of agricultural analytics across big farms is boosting the overall industry owing to its affordability and profitability enhancement abilities. High-level business activities are performed across big farms, generating big amounts of information and helping farm analytics service providers to manage this data. The market is therefore experiencing development and is likely to stay a main driving factor in the development of agricultural analytics market.
数字耕作主要包括连接设备和设备以及其他数字技术来增强输出。从precision farming,动物跟踪,温室农业,链接的设备和软件为所有基本的农业应用程序提供了贡献。网络农场传感器轨道存储收获的产品数量。这些信息使农民成为他们库存的精确概念。无人机会产生提供基本作物条件数据的现场地图和照片。土壤传感器有关土壤营养含量的报道。农场机器人有助于作物播种和收获。天气和其他相关数据由卫星和移动无线电天线提供。数字农场市场也受到通过投资数字化农场的积极参与的推动。
The market is primarily segmented on the basis of application area, component, farm size, and geographic region.
By Application Area |
By Component |
通过农场规模 |
By Region |
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预计畜牧业分析施用段预计将在预测期间投入最高的复画。牲畜养殖发生的各种任务产生了大量的关键动物数据。畜牧业分析的应用部分涉及喂养管理,热力管理,乳制品收获,育种管理,行为,以及其他(小牛管理,遗传管理和牛分类)。牧场主始终如一地展望了新的进步,作为减少成本的方法。此外,更高的工资,更加突出的学习,改进的通信渠道正在推动客户,以要求通过许多国家的自然技术逐步地提供更低的努力,以更高的产量,一致性和全年可访问性。
在组件类型的基础上,解决方案段持有最高的市场份额。农业部门需要利用广泛的农业框架和结构的广泛发展创新和农业惯例,以便通过农业商务,定期为客户和一般社会提供各种各样的多样化和异构要求。可疑结果在其对可管理性的影响方面。作物产量取决于各种变量,如天气参数,土壤条件,肥料的应用,种子范围。识别可能影响他们农场生产力的大信息集中的临界变量变得非常困难。农业分析解决方案能够提供广泛的信息,以便获得有用的理解以提高生产率。
预计北美将从2018年至2026年举办最大的市场规模,并主导全球农业分析行业。巨大的农场和先进的现代农业设备/实践的存在贡献了农业分析市场的发展。预计亚太地区预计邀请在初步培训后引入和接受基于数字养殖方法和基于云的解决方案的投资。然而,未能在不同领域标准化信息可能会影响整个地区的农业分析解决方案的实施作为统一框架。
IBM,Deere&Company,SAP SE,Trimble,Eventure,Monsanto公司,甲骨文,塔拉尼斯,Agribotix和迭代是在全球农业分析市场中运营的一些球员。这个市场上有一个竞争力的供应商景观。这些企业还试图进入战略联盟,公司扩展,兼并和收购,以及产品/服务的进展。市场参与者可以进一步加强他们目前的软件,硬件和服务,以解决当前问题。预计预测分析预计将推动行业增长。