Smart Agriculture Market Set for $8393 Million Growth: Texas Instruments, AGCO Corporation and GEA Farm Technologies

The global Smart Agriculture market was valued at US$ 4457 million in 2023 and is anticipated to reach US$ 8393 million by 2030, witnessing a CAGR of 9.6% during the forecast period 2024-2030. The industry"s leading producers are Texas Instruments, AGCO Corporation and GEA Farm Technologies, with revenue ratios of 8.10%, 11.00% and 2.67%, respectively, in 2019.

CALIFORNIA, (UNITED STATES) - QY Research New Study Report 'Smart Agriculture Market 2024' provides a comprehensive analysis of the industry with market insights will definitely facilitate to increase the knowledge and decision-making skills of the business, thus providing an immense opportunity for growth. Finally, this will increase the return rate and strengthen the competitive advantage within. Since it's a personalised market report, the services are catered to the particular difficulty. The correct methodology and staff will be matched to the company need through marketing reports, which may involve survey work, in-depth interviews, or a combination of methodologies. also qualitative and quantitative analysis, we help you with thorough and comprehensive research on the global Smart Agriculture market. We have also focused on SWOT, PESTLE, and Porter's Five Forces analyses of the global Smart Agriculture market.

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Smart agriculture, allows farmers to maximize yields using minimal resources such as water, fertilizer, and seeds. By deploying sensors and mapping fields, farmers can begin to understand their crops at a micro scale, conserve resources, and reduce impacts on the environment. Smart agriculture has roots going back to the 1980s when Global Positioning System (GPS) capability became accessible for civilian use. Once farmers were able to accurately map their crop fields, they could monitor and apply fertilizer and weed treatments only to areas that required it. During the 1990s, early precision agriculture users adopted crop yield monitoring to generate fertilizer and pH correction recommendations. As more variables could be measured and entered into a crop model, more accurate recommendations for fertilizer application, watering, and even peak yield harvesting, could be made. A number of sensing technologies are used in precision agriculture, providing data that helps farmers monitor and optimize crops, as well as adapt to changing environmental factors. This report mainly covers the Smart agriculture senor and robot and other device. software and other service solution is not covered.

The primary research and secondary research of the analysis is the competitive landscape that exists between the top players present in the industry. An inventory of the actions the businesses have done in the previous years is included in the report. Growth statistics for the regional markets have been included in the research, along with a list of the key countries driving regional growth, including North America, Europe, China, Japan, Southeast Asia, and India.

Market The Driving Factors and Opportunity:

Growing customer demand for the product, effective marketing strategies in new states, and significant investments in product development are some of the major reasons that are driving the Smart Agriculture industry. One of the biggest problems the Smart Agriculture industry is facing is easy access to rivals. The inexpensive cost of alternatives is another barrier to the Smart Agriculture market. Companies believe they can overcome this obstacle, though, by keeping pricing in check and expanding the market for their goods through the introduction of chemicals, specialized chemicals, polymers, metals, ceramics, composites, and new materials. Furthermore, market participants need to overcome significant obstacles in order to reduce risks, adjust their plans, and carry on with business as usual. As a result, businesses will have the ability to deploy their resources efficiently without sacrificing timely market supply or product quality.

Top Market Leader Included:

Texas Instruments
John Deere
AKVA Group
Robotics Plus
AGCO Corporation
GEA Farm Technologies
CropX
Trimble Inc
Yamaha
Lely
DeLaval
YANMAR
FarmBot
Raven Industries
AG Leader Technology
TOPCON Positioning Systems
AG Junction
Allflex
AeroFarms
Osram Licht AG
XAG
Kebai Science

Detailed of Smart Agriculture Market Segmentation: -

Segmentation By Type :-

Smart Agriculture Sensor
Smart Agriculture Robot
Agricultural Drone
Others

Segmentation By Application : -

Planting Agriculture
Horticulture
Livestock Monitoring
Others

Regional Analysis of Smart Agriculture Market:-

The Smart Agriculture Market provides a diverse geographical landscape, with several areas exhibiting unique market characteristics. While some locations see rapid growth due to factors like economic expansion and technical advancements, other regions may experience slower but more consistent market expansion. Market trends vary greatly throughout regions due to factors including cultural influences, legal frameworks, and population developments. Businesses looking to go global must understand these regional differences and adjust their strategy to take advantage of local opportunities.

→ North America (U.S., Canada, China)

→ Europe (Germany, U.K., France, Italy, Russia, Spain, Rest of Europe)

→ Asia-Pacific (Japan, South Korea, China Taiwan, Southeast Asia, India)

→ Middle East, Africa, Latin America (Brazil, Mexico, Turkey, Israel, GCC Countries)

A Market Research report can be a powerful tool for any customer looking to grow their business. Here's how:

Informed Decision-Making: The report provides comprehensive data and insights about the market, helping businesses make informed decisions regarding product development, pricing strategies, and market entry.

Identifying Opportunities: It highlights emerging trends, consumer preferences, and potential gaps in the market, allowing businesses to identify new opportunities for growth and innovation.

Competitive Analysis: The report often includes detailed analysis of competitors, helping businesses understand their strengths and weaknesses, and enabling them to develop strategies to gain a competitive edge.

Risk Mitigation: By understanding market dynamics, businesses can anticipate potential risks and challenges, allowing them to plan accordingly and reduce the likelihood of costly mistakes.

Target Audience Insights: The report offers valuable information about the target audience, including demographics, buying behavior, and preferences. This helps in tailoring marketing and sales strategies to better meet customer needs.

Strategic Planning: Armed with the insights from the report, businesses can create more effective long-term strategies, including expansion plans, product diversification, and market penetration strategies.

Benchmarking: It allows businesses to benchmark their performance against industry standards and competitors, helping them identify areas for improvement and set realistic growth targets.

Resource Allocation: By understanding which areas of the market offer the most potential, businesses can allocate resources more efficiently, focusing on high-growth areas while optimizing costs.

In summary, a Market Research report provides the data-driven insights needed to navigate the complexities of the market, seize opportunities, and make strategic decisions that drive business growth.

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Table of Contents with Major Points:

1. Executive Summary

1.1. Market Analysis
1.2. Global & Segmental Market Estimates & Forecasts, 2024-2030 (USD Billion)
1.2.1. Smart Agriculture Market, by Region, 2024-2030 (USD Billion)
1.2.2. Smart Agriculture Market, by Type, 2024-2030 (USD Billion)
1.2.3. Smart Agriculture Market, by Application, 2024-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption

2. Global Smart Agriculture Market Definition and Scope

2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates

3. Global Market Dynamics

3.1. Smart Agriculture Market Impact Analysis (2024-2030)
3.1.1. Market Drivers
3.1.2. Market Challenges
3.1.3. Market Opportunities

4. Global Industry Analysis

4.1. Porter's 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter's 5 Force Model (2024-2030)
4.2. PEST Analysis
4.2.1. Political
4.2.2. Economical
4.2.3. Social
4.2.4. Technological
4.3. Investment Adoption Model
4.4. Analyst Recommendation & Conclusion

5. Global Market, by Type

5.1. Market Analysis
5.2. Global Smart Agriculture Market by Type, Performance - Potential Analysis
5.3. Global Smart Agriculture Market Estimates & Forecasts by Type 2024-2030 (USD Billion)
5.4. Smart Agriculture Market, Sub-Segment Analysis

6. Global Market, by Application

6.1. Market Analysis
6.2. Global Smart Agriculture Market by Application, Performance - Potential Analysis
6.3. Global Smart Agriculture Market Estimates & Forecasts by Application 2024-2030 (USD Billion)
6.4. Smart Agriculture Market, Sub-Segment Analysis
6.4.1. Others

7. Regional Analysis

7.1. Smart Agriculture Market, Regional Market Analysis
7.2. North America Smart Agriculture Market
7.3. Europe Smart Agriculture Market Analysis
7.4. Asia-Pacific Smart Agriculture Market Analysis
7.5. Latin America Smart Agriculture Market Analysis
7.6. Rest of The World Smart Agriculture Market

8. Competitive Intelligence

8.1. Top Market Strategies
8.2. Company Profiles
8.2.1. Key player 1
8.2.1.1. Key In Durationation
8.2.1.2. Overview
8.2.1.3. Financial (Subject to Data Availability)
8.2.1.4. Product Summary
8.2.1.5. Recent Developments

9. Research Process

9.1. Research Process
9.1.1. Data Mining
9.1.2. Analysis
9.1.3. Market Estimation
9.1.4. Validation
9.1.5. Publishing
9.2. Research Attributes

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