Connected Agriculture Market is expected to reach USD 14.98 billion by 2030

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Connected Agriculture Market is expected to reach USD 14.98 billion by 2030

Data Bridge Market Research analyses that the connected agriculture market, which was USD 3.62 billion in 2022, is expected to reach USD 14.98 billion by 2030, at a CAGR of 19.43% during the forecast period 2023 to 2030. In addition to the market insights such as market value, growth rate, market segments, geographical coverage, market players, and market scenario, the market report curated by the Data Bridge Market Research team includes in-depth expert analysis, import/export analysis, pricing analysis, production consumption analysis, and pestle analysis.

The global Connected Agriculture Market research report 2030, as published by Data bridge Market Research, provides insights into the current global outlook and key regions, examining Major Players, Countries, Product Types, and end industries. It focuses on top players in the global market and categorizes the market based on several parameters.

This Connected Agriculture market research report identifies the competitive landscape of industries, offering a comprehensive understanding of international competition. The study outlines the anticipated growth of the global market during forecast period. Compiled with a blend of static and dynamic perspectives, this research report captures the essence of the businesses views.

Top Companies in the Global Connected Agriculture Market:
Cisco Systems Inc., (U.S.), Microsoft (U.S.), IBM (U.S.), SAP SE (U.S.), Oracle (U.S.), AT&T Intellectual Property (U.S.), Deere & Company. (U.S.), Accenture (Ireland), Iteris, Inc. (U.S.), Trimble Inc. (U.S.), SMAG (France), Ag Leader Technology (U.S.), TELUS Agriculture Solutions Inc. (Canada), Gamaya. (Switzerland), SatSure. (U.K.), SlantRange, Inc. (U.S.), Raven Industries, Inc. (U.S.), AGCO Corporation. (U.S.), Orange Business (France), among others.

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Market Segmentation:

The connected agriculture market is segmented on the basis of component and application. 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.

Component

• Solutions

• Network Management

• Agriculture Asset Management

• Supervisory Control

• Platforms

• Device Management

• Application Enablement

• Connectivity Management

• Services

• Training and Consulting

• System integration and Implementations

• Support and Maintenance

Application

• Pre-Production Planning and Management

• Field Mapping

• Crop Planning and Yield Monitoring

• Weather Tracking and Forecasting

• Farm Labour Management

• Equipment Monitoring and Maintenance

• In-Production Planning and Management

• Water and Irrigation Management

• Breeding and Feed Management

• Crop Scouting

• Production Monitoring and Maintenance

• Animal Tracking and Navigation

• Agro-Finance and Insurance Management

• Post-Production Planning and Management

• Processing

• Inventory Management

• Transportation

• Quality Assurance and Control

Geographically, the detailed analysis of consumption, revenue, market share, and growth rate of the following regions:

– Middle East and Africa (South Africa, Saudi Arabia, UAE, Israel, Egypt, etc.)

– North America (United States, Mexico & Canada)

– South America (Brazil, Venezuela, Argentina, Ecuador, Peru, Colombia, etc.)

– Europe (Turkey, Spain, Turkey, Netherlands Denmark, Belgium, Switzerland, Germany, Russia UK, Italy, France, etc.)

– Asia-Pacific (Taiwan, Hong Kong, Singapore, Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia).

Market Dynamics:

Drivers

• Growing focus to improve the crop cultivation will drive the market growth

Farmers can increase crop production using connected agriculture while spending less money and exerting less effort than they would using conventional farming techniques. By enabling farmers to skillfully use time and resources in the proper combination to more precisely evaluate the ideal sowing density, estimate fertilisers, and predict crop yields, connected agriculture increases production. Today's farmers depend on modern agricultural innovations including the use of cell phones and other connected equipment. Modern linked technologies such as low power wide area (LPWA), WiFi, Zigbee, and new wireless sensor technologies let farmers plan and carry out a variety of agricultural operations including, acquiring supplies, keeping track of inventories, planting crops at the right time, and so on.

• Growing investment by public/private players to streamline the process

Increasing focus of the players operating in the market to escalate the adoption of advanced and connected agricultural practices is bolstering the growth of the market. In January 2023, Aston University joined forces with engineering company Solargen Technologies (SGT) and the University of Nairobi through a Knowledge Transfer Partnership (KTP) to create a smart irrigation system that uses solar and wind energy to provide year-round watering of land and enhance crop production in Kenya. The biggest supplier of irrigation, water, and energy solutions and services in Kenya is SGT. They worked along with non-governmental organisations, governments, and individuals to offer communities in rural and conflict-affected areas of Eastern Africa specialised energy, water, and food security solutions.

Opportunities

• COVID-19 brought about a revolutionary change in the integration of AI

Artificial intelligence (AI) has received attention as a result of the Covid epidemic. To obtain insightful knowledge, such as when to sow seeds, which crops to chose, which hybrid seeds to select for higher yields, and other things, artificial intelligence and machine learning models employ data in real-time. Precision farming, also referred to as artificial intelligence systems, is helping to improve the overall quality and accuracy of harvests. The identification of pests, plant diseases, and undernutrition in farms is made easier by AI technology. Before selecting a herbicide, artificial intelligence (AI) sensors can recognise and target weeds. Therefore, integration of such advanced technology in agriculture will act as a market growth opportunity in the long run.

Browse The Report Description:

https://www.databridgemarketresearch.com/reports/global-connected-agriculture-market

Strategic Points from Table of Content:

– Market Summary

– Economic Impact Competition Analysis by Players

– Production, Revenue (Value) by geographical segmentation

Connected Agriculture Market Size by Type and Application

– Regional Market Status and Outlook

Connected Agriculture Market Analysis and Outlook

Connected Agriculture Market Forecast by Region, Type, and Application

– Cost Investigation, Market Dynamics

– Marketing Strategy comprehension, Distributors and Traders

– Market Effect Factor Analysis

– Research Finding/ Conclusion

– Appendix

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