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Market Snapshot

CAGR:7.24

2023

2032

Source: Market Expertz

Study Period	2019-2032
Base Year	2023
Forcast Year	2023-2032
CAGR	7.24

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Report Overview

Agriculture Analytics Market Analysis Report 2023-2032

The Agriculture Analytics Market is set for robust growth, with an estimated Compound Annual Growth Rate (CAGR) of 12.83% from 2022 to 2032. This growth is projected to result in a market size increase of USD 2,578.74 million. The agriculture analytics industry is driven by the increasing need for data-driven insights in modern farming practices, the adoption of precision agriculture, and the demand for sustainable food production.

Agriculture Analytics Market Overview

Drivers

The growth of the agriculture analytics market is propelled by the adoption of advanced technologies in agriculture. Analytics solutions offer farmers valuable insights into crop health, soil conditions, weather patterns, and resource management, enabling informed decision-making for optimized yield and resource usage.

Furthermore, the need for sustainable farming practices and resource efficiency contributes to the demand for agriculture analytics. By leveraging data-driven insights, farmers can minimize waste, reduce environmental impact, and improve the overall efficiency of agricultural operations.

Trends

Integration of Internet of Things (IoT) devices and predictive analytics are key trends in the agriculture analytics market. IoT devices such as sensors and drones are used to collect real-time data from farms, providing information on soil moisture, temperature, and crop health. Predictive analytics models leverage historical data to forecast future outcomes, helping farmers plan and mitigate risks.

Additionally, cloud-based platforms are gaining prominence. Cloud solutions allow farmers to store and analyze large volumes of data, facilitating collaboration and remote access to analytics tools.

Restraints

Data privacy and security concerns and the digital divide present challenges in the agriculture analytics market. Collecting and sharing agricultural data raises privacy concerns, requiring robust data protection measures and compliance with regulations.

Moreover, disparities in technology adoption and internet connectivity in rural areas may limit the accessibility of analytics solutions for small-scale farmers. Bridging the digital divide is essential to ensure equitable access to data-driven insights.

Agriculture Analytics Market Segmentation By Application

Among the application segments, the Crop Monitoring and Management segment is expected to witness substantial growth during the forecast period. Agriculture analytics solutions provide real-time information on crop health, growth, and pest management, enabling farmers to take timely actions to maximize yield.

Additionally, the Soil Management segment is also on the rise. Analytics tools assist farmers in assessing soil quality, nutrient levels, and moisture content, guiding effective soil management practices.

Agriculture Analytics Market Segmentation By Type

Within the agriculture analytics type segment, Remote Sensing Analytics are expected to play a significant role in market growth. Remote sensing involves the use of satellite imagery and aerial photography to monitor and analyze crops, land use, and environmental conditions.

Furthermore, Predictive Analytics is gaining prominence. Predictive models use historical data and machine learning algorithms to forecast outcomes such as yield, disease outbreaks, and weather patterns.

Regional Overview:

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North America is projected to be a prominent contributor to the global agriculture analytics market growth, accounting for approximately 38% of the market share during the forecast period. The region's leadership is attributed to the high adoption of precision agriculture technologies, the presence of agribusiness giants, and technological innovation.

Europe also holds a significant share in the agriculture analytics market, driven by the emphasis on sustainable agriculture and the integration of digital solutions in farming practices. The Asia-Pacific region is witnessing rapid growth, fueled by the need to meet increasing food demand, improve crop yield, and address resource constraints.

The agriculture analytics market faced disruptions during the COVID-19 pandemic as supply chains and labor availability were affected. However, the pandemic highlighted the importance of data-driven insights to ensure food security and resilience in the agriculture sector.

Agriculture Analytics Market Customer Landscape

The agriculture analytics market report encompasses an analysis of the customer landscape, from large agribusinesses to small-scale farmers. It delves into adoption rates across regions, providing insights into customer penetration. Additionally, the report identifies key factors influencing the choice of analytics solutions, aiding organizations in selecting appropriate tools.

Major Agriculture Analytics Market Entities

Technology providers and agricultural companies are collaborating to develop innovative analytics solutions that address the specific needs of the agriculture sector.

Trimble Inc.: Trimble offers precision agriculture solutions that include data analytics for optimizing farming practices. Their platforms integrate data from sensors, machinery, and environmental factors to provide actionable insights.
IBM Corporation: IBM provides Watson Decision Platform for Agriculture, an AI-powered solution that offers weather data, predictive insights, and recommendations for farmers. The platform assists in decision-making for planting, harvesting, and resource management.
AgJunction Inc.: AgJunction offers precision agriculture solutions that include analytics for variable rate application, yield monitoring, and field mapping. Their solutions focus on optimizing inputs and maximizing yield.

The competitive landscape analysis in the report offers comprehensive insights into market players, assessing their strengths, weaknesses, and positioning. The qualitative and quantitative data aids in categorizing organizations based on their focus and dominance in the market.

Segment Overview

The agriculture analytics market report forecasts revenue growth at global, regional, and country levels and provides a comprehensive analysis of trends and growth opportunities from 2019 to 2032.

Application Outlook (USD Million, 2019 - 2032)

Crop Monitoring and Management
Soil Management
Weather Monitoring
Yield Prediction and Optimization
Others

Type Outlook (USD Million, 2019 - 2032)

Remote Sensing Analytics
Predictive Analytics
Spatial Analytics
Financial Analytics
Others

Geography Outlook (USD Million, 2019 - 2032)

North America

United States
Canada

Europe

United Kingdom
Germany
France
Rest of Europe

APAC

China
India
Japan
Rest of APAC

South America

Brazil
Argentina
Chile
Rest of South America

Middle East & Africa

United Arab Emirates
South Africa
Saudi Arabia
Rest of Middle East & Africa

TABLE OF CONTENTS: GLOBAL Agriculture Analytics MARKET

Chapter 1. MARKET SYNOPSIS

1.1. Market Definition

1.2. Research Scope & Premise

1.3. Methodology

1.4. Market Estimation Technique

Chapter 2. EXECUTIVE SUMMARY

2.1. Summary Snapshot, 2016 – 2027

Chapter 3. INDICATIVE METRICS

3.1. Macro Indicators

Chapter 4. Agriculture Analytics MARKET SEGMENTATION & IMPACT ANALYSIS

4.1. Agriculture Analytics Segmentation Analysis

4.2. Industrial Outlook

4.3. Price Trend Analysis

4.4. Regulatory Framework

4.5. Porter’s Five Forces Analysis

4.5.1. Power Of Suppliers

4.5.2. Power Of Buyers

4.5.3. Threat Of Substitutes

4.5.4. Threat Of New Entrants

4.5.5. Competitive Rivalry

Chapter 5. Agriculture Analytics MARKET BY Component type SIGHTS & TRENDS

5.1. Segment 1 Dynamics & Market Share, 2019 & 2027

5.2 Solutions

5.2.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

5.2.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

5.3 Services

5.3.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

5.3.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

Chapter 6. Agriculture Analytics MARKET BY deployment INSIGHTS & TRENDS

6.1. Segment 2 Dynamics & Market Share, 2019 & 2027

6.2 On-Premise

6.2.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

6.2.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

6.3 Cloud

6.3.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

6.3.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

Chapter 7. Agriculture Analytics MARKET REGIONAL OUTLOOK

7.1. Agriculture Analytics Market Share By Region, 2019 & 2027

7.2. NORTH AMERICA

7.2.1. North America Agriculture Analytics Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.2.2. North America Agriculture Analytics Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.2.3. North America Agriculture Analytics Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.2.4. North America Agriculture Analytics Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.2.5. U.S.

7.2.5.1. U.S. Agriculture Analytics Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.2.5.2. U.S. Agriculture Analytics Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.2.5.3. U.S. Agriculture Analytics Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.2.5.4. U.S. Agriculture Analytics Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.2.6. CANADA

7.2.6.1. Canada Agriculture Analytics Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.2.6.2. Canada Agriculture Analytics Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.2.6.3. Canada Agriculture Analytics Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.2.6.4. Canada Agriculture Analytics Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.3. EUROPE

7.3.1. Europe Agriculture Analytics Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.3.2. Europe Agriculture Analytics Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.3.3. Europe Agriculture Analytics Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.3.4. Europe Agriculture Analytics Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.3.5. GERMANY

7.3.5.1. Germany Agriculture Analytics Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.3.5.2. Germany Agriculture Analytics Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.3.5.3. Germany Agriculture Analytics Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.3.5.4. Germany Agriculture Analytics Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.3.6. FRANCE

7.3.6.1. France Agriculture Analytics Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.3.6.2. France Agriculture Analytics Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.3.6.3. France Agriculture Analytics Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.3.6.4. France Agriculture Analytics Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.3.7. U.K.

7.3.7.1. U.K. Agriculture Analytics Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.3.7.2. U.K. Agriculture Analytics Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.3.7.3. U.K. Agriculture Analytics Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.3.7.4. U.K. Agriculture Analytics Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4. ASIA-PACIFIC

7.4.1. Asia Pacific Agriculture Analytics Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.4.2. Asia Pacific Agriculture Analytics Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.4.3. Asia Pacific Agriculture Analytics Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.4.4. Asia Pacific Agriculture Analytics Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4.5. CHINA

7.4.5.1. China Agriculture Analytics Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.4.5.2. China Agriculture Analytics Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.4.5.3. China Agriculture Analytics Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.4.5.4. China Agriculture Analytics Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4.6. INDIA

7.4.6.1. India Agriculture Analytics Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.4.6.2. India Agriculture Analytics Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.4.6.3. India Agriculture Analytics Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.4.6.4. India Agriculture Analytics Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4.7. JAPAN

7.4.7.1. Japan Agriculture Analytics Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.4.7.2. Japan Agriculture Analytics Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.4.7.3. Japan Agriculture Analytics Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.4.7.4. Japan Agriculture Analytics Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4.8. AUSTRALIA

7.4.8.1. Australia Agriculture Analytics Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.4.8.2. Australia Agriculture Analytics Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.4.8.3. Australia Agriculture Analytics Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.4.8.4. Australia Agriculture Analytics Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.5. MIDDLE EAST AND AFRICA (MEA)

7.5.1. Mea Agriculture Analytics Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.5.2. Mea Agriculture Analytics Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.5.3. Mea Agriculture Analytics Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.5.4. Mea Agriculture Analytics Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.6. LATIN AMERICA

7.6.1. Latin America Agriculture Analytics Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.6.2. Latin America Agriculture Analytics Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.6.3. Latin America Agriculture Analytics Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.6.4. Latin America Agriculture Analytics Market Estimates And Forecast By Production Process, 2016 –2027, (USD Million)

7.6.5. Latin America Agriculture Analytics Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

Chapter 8. COMPETITIVE LANDSCAPE

8.1. Market Share By Manufacturers

8.2. Strategic Benchmarking

8.2.1. New Product Launches

8.2.2. Investment & Expansion

8.2.3. Acquisitions

8.2.4. Partnerships, Agreement, Mergers, Joint-Ventures

8.3. Vendor Landscape

8.3.1. North American Suppliers

8.3.2. European Suppliers

8.3.3. Asia-Pacific Suppliers

8.3.4. Rest Of The World Suppliers

Chapter 9. COMPANY PROFILES

9.1 IBM Corporation

9.1.1. Company Overview

9.1.2. Financial Performance

9.1.3. Product Insights

9.1.4. Strategic Initiatives

9.2 Trimble

9.2.1. Company Overview

9.2.2. Financial Performance

9.2.3. Product Insights

9.2.4. Strategic Initiatives

9.3 Deere & Company

9.3.1. Company Overview

9.3.2. Financial Performance

9.3.3. Product Insights

9.3.4. Strategic Initiatives

9.4 Bayer AG

9.4.1. Company Overview

9.4.2. Financial Performance

9.4.3. Product Insights

9.4.4. Strategic Initiatives

9.5 Ageagle Aerial Systems

9.5.1. Company Overview

9.5.2. Financial Performance

9.5.3. Product Insights

9.5.4. Strategic Initiatives

9.6 Company 6

9.6.1. Company Overview

9.6.2. Financial Performance

9.6.3. Product Insights

9.6.4. Strategic Initiatives

9.7 Company 7

9.7.1. Company Overview

9.7.2. Financial Performance

9.7.3. Product Insights

9.7.4. Strategic Initiatives

9.8 Company 8

9.8.1. Company Overview

9.8.2. Financial Performance

9.8.3. Product Insights

9.8.4. Strategic Initiatives

9.9 Company 9

9.9.1. Company Overview

9.9.2. Financial Performance

9.9.3. Product Insights

9.9.4. Strategic Initiatives

9.10 Company 10

9.10.1. Company Overview

9.10.2. Financial Performance

9.10.3. Product Insights

9.10.4. Strategic Initiatives

RESEARCH METHODOLOGY

A research methodology is a systematic approach for assessing or conducting a market study. Researchers tend to draw on a variety of both qualitative and quantitative study methods, inclusive of investigations, survey, secondary data and market observation.

Such plans can focus on classifying the products offered by leading market players or simply use statistical models to interpret observations or test hypotheses. While some methods aim for a detailed description of the factors behind an observation, others present the context of the current market scenario.

Now let’s take a closer look at the research methods here.

Secondary Research Model

Extensive data is obtained and cumulated on a substantial basis during the inception phase of the research process. The data accumulated is consistently filtered through validation from the in-house database, paid sources as well reputable industry magazines. A robust research study requires an understanding of the overall value chain. Annual reports and financials of industry players are studied thoroughly to have a comprehensive idea of the market taxonomy.

Primary Insights

Post conglomeration of the data obtained through secondary research; a validation process is initiated to verify the numbers or figures. This process is usually performed by having a detailed discussion with the industry experts.

However, we do not restrict our primary interviews only to the industry leaders. Our team covers the entire value chain while verifying the data. A significant number of raw material suppliers, local manufacturers, distributors, and stakeholders are interviewed to make our findings authentic. The current trends which include the drivers, restraints, and opportunities are also derived through the primary research process.

Market Estimation

The market estimation is conducted by analyzing the data collected through both secondary and primary research. This process involves market breakdown, bottom-up and top- down approach.

Moreover, while forecasting the market a comprehensive statistical time series model is designed for each market. Macroeconomic indicators are considered to understand the current trends of the market. Each data point is verified by the process of data triangulation method to arrive at the final market estimates.

Final Presentation

The penultimate process results in a holistic research report. The study equips key industry players to undertake significant strategic decisions through the findings. The report encompasses detailed market information. Graphical representations of the current market trends are also made available in order to make the study highly comprehensible for the reader.

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Agriculture Analytics Market Size, Type Analysis, Application Analysis, End-Use, Industry Analysis, Regional Outlook, Competitive Strategies And Forecasts, 2023-2032