Global Digital Agriculture Market
市场规模（十亿美元）
CAGR :
% 
 Forecast Period |
2024 –2031 |
 Market Size (Base Year) |
USD 15.89 Billion |
 Market Size (Forecast Year) |
USD 34.54 Billion |
 CAGR |
% |
| Major Markets Players |
>全球数字农业市场，按类型（作物监测、人工智能、精准农业）、公司类型（1 级-55%、2 级-20%、3 级-25%）、职位（C 级高管-40%、董事-35%、其他-25%）、应用（田间测绘、作物侦察、天气跟踪、无人机分析、财务管理、农场库存管理等）划分 - 行业趋势与预测至 2031 年。
数字农业市场分析和规模
农民正在使用数字农业工具实时跟踪农作物的生长情况，例如放置在田地上时记录土壤状况和温度的传感器、气候田间视图等计算机应用程序、用于创建农业地图和产量地图的编程工具以及其他类似的应用程序。在农业中使用数字技术有助于将信息从供应商传播给工人，反之亦然，因此，它通过提供培训、金融服务和法律服务，有助于利益相关者之间建立战略伙伴关系。
Data Bridge Market Research 分析，全球数字农业市场预计到 2031 年将达到 345.4 亿美元，即 2023 年为 158.9 亿美元，在 2024 年至 2031 年的预测期内复合年增长率为 10.20%。除了对市场价值、增长率、细分、地理覆盖范围和主要参与者等市场情景的见解外，Data Bridge Market Research 策划的市场报告还包括深入的专家分析、按地理位置表示的公司生产和产能、分销商和合作伙伴的网络布局、详细和更新的价格趋势分析以及供应链和需求的缺口分析。
数字农业市场范围和细分
|
报告指标 |
细节 |
|
预测期 |
2024 至 2031 年 |
|
基准年 |
2023 |
|
历史岁月 |
2021 (可定制为 2016-2021) |
|
定量单位 |
收入（单位：十亿美元）、销量（单位：台）、定价（美元） |
|
涵盖的领域 |
按类型（作物监测、人工智能、精准农业）、公司类型（1 级-55%、2 级-20%、3 级-25%）、职位（C 级高管-40%、董事-35%、其他-25%）、应用（田间测绘、作物侦察、天气跟踪、无人机分析、财务管理、农场库存管理、其他） |
|
覆盖国家 |
美国、加拿大、墨西哥、德国、英国、法国、意大利、西班牙、俄罗斯、波兰、瑞士、荷兰、匈牙利、奥地利、挪威、爱尔兰、土耳其、立陶宛、欧洲其他地区、中国、日本、印度、澳大利亚、韩国、新加坡、泰国、马来西亚、印度尼西亚、菲律宾、越南、亚太其他地区、巴西、阿根廷、秘鲁、南美洲其他地区、南非、沙特阿拉伯、阿联酋、以色列、科威特、埃及、中东和非洲其他地区 |
|
涵盖的市场参与者 |
DTN (U.S.), Farmers Edge Inc. (Canada), Taranis (U.S.), Eurofins Scientific (Luxembourg), AgriWebb (Australia), Monsanto Company (U.S.), Bayer AG (Germany), Deere & Company. (U.S.), Accenture (Ireland), Syngenta AG (Switzerland), AgGateway (U.S.), CropX inc. (U.S.), Farmers Business Network (U.S.), BASF SE (Germany), DigitalGlobe (U.S.) |
|
Market Opportunities |
|
Market Definition
Digital farming software is the programmed tools which are developed to optimize and manage farm operations and production activities. The software helps to automate various farm activities such as record management, data storage, monitoring and streamline production activities. Digital farming software maximize yield and revenue related to crops and others using data-driven insights.
Global Digital Agriculture Market Dynamics
Drivers
- Precision Farming Advancements
Precision agriculture technologies, such as GPS-guided tractors and drones, are driving the digital agriculture market. These technologies enable farmers to optimize resource use, increase crop yields, and reduce production costs, making them a compelling driver for industry growth.
- Demand for Food Security
The global population is growing, and there is an increasing need to produce more food with limited arable land. Digital agriculture technologies offer solutions for efficient crop management and monitoring, helping meet the demand for food security and sustainable agricultural practices.
Opportunity
- Data-Driven Decision-Making
The vast amount of data collected through digital agriculture tools provides opportunities for data analytics and insights. Companies can offer data analytics services to farmers, enabling them to make informed decisions regarding crop management, pest control, and resource allocation.
Restraints/Challenges
- High Initial Investment
The adoption of digital agriculture technologies often involves a significant initial investment in equipment, software, and training. This cost can be a barrier for smaller or resource-constrained farmers, slowing down market penetration.
- Data Privacy and Security Concerns
The collection and sharing of sensitive farm data, such as crop yields and soil conditions, raise concerns about data privacy and security. Addressing these issues and building trust among farmers and stakeholders is a critical challenge for the digital agriculture market.
This digital agriculture market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on the digital agriculture market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
Recent Development
- In November 2020, TELUS Agriculture, one of the leading participants in the farm industry, announced the launch of a new business unit that will deliver creative and advanced solutions to help the agriculture industry become more digitalized and connected. The service will assist in data analysis and production, efficiency, and better food outcomes.
Global Digital Agriculture Market Scope
The digital agriculture market is segmented on the basis of type, company type, designation and applications. The growth amongst these segments will help you analyze meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.
Type
- Crop Monitoring
- Artificial Intelligence
- Precision Farming
Company Type
- Tier 1-55 %
- Tier 2-20%
- Tier 3-25%
Designation
- C-Level Executives-40%
- Directors -35%
- Others-25%
Applications
- Field Mapping
- Crop Scouting
- Weather Tracking
- Drone Analytics
- Financial Management
- Farm Inventory Management
- Others
Global Digital Agriculture Market Regional Analysis/Insights
The digital agriculture market is analysed and market size insights and trends are provided by country, type, company type, designation and applications as referenced above.
The countries covered in the market report are the U.S., Canada, Mexico, Germany, U.K., France, Italy, Spain, Russia, Poland, Switzerland, Netherlands, Hungary, Austria, Norway, Ireland, Turkey, Lithuania, rest of Europe, China, Japan, India, Australia, South Korea, Singapore, Thailand, Malaysia, Indonesia, Philippines, Vietnam, rest of Asia-Pacific, Brazil, Argentina, Peru, rest of South America, South Africa, Saudi Arabia, U.A.E., Israel, Kuwait, Egypt, and rest of Middle East & Africa.
North America is expected to dominate the market due to the rise in the initiatives taken by the government for the adoption of modern agriculture technologies and developed infrastructure. Furthermore, the occurrence of major key players will further boost the growth of the digital agriculture market in the region during the forecast period.
由于发达国家政府采取多项举措鼓励应用现代农业技术，亚太地区市场预计将出现大幅增长。此外，农民还可以借助有效的管理结构获得足够的知识，了解如何操作和维护精准农业设备，这有望在未来几年推动该地区数字农业市场的增长。
报告的国家部分还提供了影响单个市场因素和国内市场监管变化，这些因素和变化会影响市场的当前和未来趋势。下游和上游价值链分析、技术趋势和波特五力分析、案例研究等数据点是用于预测单个国家市场情景的一些指标。此外，在提供国家数据的预测分析时，还考虑了全球品牌的存在和可用性以及它们因来自本地和国内品牌的激烈或稀缺竞争而面临的挑战、国内关税和贸易路线的影响。
数字农业市场还为您提供每个国家资本设备支出增长、数字农业市场不同类型产品的安装基数、使用生命线曲线的技术影响以及监管情景的变化及其对数字农业市场的影响的详细市场分析。数据适用于 2010-2020 年的历史时期。
竞争格局和全球数字农业市场份额分析
数字农业市场竞争格局按竞争对手提供详细信息。详细信息包括公司概况、公司财务状况、产生的收入、市场潜力、研发投资、新市场计划、全球影响力、生产基地和设施、生产能力、公司优势和劣势、产品发布、产品宽度和广度、应用主导地位。以上提供的数据点仅与公司对数字农业市场的关注有关。
数字农业市场的一些主要参与者包括：
- DTN（美国）
- Farmers Edge Inc.（加拿大）
- 塔拉尼斯（美国）
- Eurofins Scientific（卢森堡）
- AgriWebb（澳大利亚）
- 孟山都公司（美国）
- 拜耳公司（德国）
- 迪尔公司。（美国）
- 埃森哲（爱尔兰）
- 先正达公司（瑞士）
- AgGateway（美国）
- CropX inc.（美国）
- 农民商业网络（美国）
- 巴斯夫公司（德国）
- DigitalGlobe（美国）
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研究方法
Data collection and base year analysis are done using data collection modules with large sample sizes. The stage includes obtaining market information or related data through various sources and strategies. It includes examining and planning all the data acquired from the past in advance. It likewise envelops the examination of information inconsistencies seen across different information sources. The market data is analysed and estimated using market statistical and coherent models. Also, market share analysis and key trend analysis are the major success factors in the market report. To know more, please request an analyst call or drop down your inquiry.
The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market and primary (industry expert) validation. Data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Patent Analysis, Pricing Analysis, Company Market Share Analysis, Standards of Measurement, Global versus Regional and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.
可定制
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