Global Agriculture Data Analytics Market Research Report 2024

Publication ID:

PB502246235

Publication Date:

February 21, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

griculture data analytics refers to the use of advanced data analysis tools and techniques to interpret, process, and derive insights from large volumes of data generated in the agricultural sector. It involves the application of data science, machine learning, and statistical analysis to enhance decision-making processes, optimize farming operations, and improve overall productivity in agriculture.
The global Agriculture Data Analytics market was valued at US$ 6072 million in 2023 and is anticipated to reach US$ 14800 million by 2030, witnessing a CAGR of 13.5% during the forecast period 2024-2030.
The agriculture data analytics market has seen substantial growth due to the increasing adoption of technology in agriculture. Key aspects of the market include:
Precision Agriculture Adoption:
The rise of precision agriculture, incorporating data analytics, allows farmers to make data-driven decisions for crop management, resource allocation, and yield optimization.
IoT and Sensor Integration:
Integration of IoT devices and sensors in agriculture provides real-time data on soil conditions, weather patterns, and crop health, contributing to better analytics and decision support.Crop Monitoring and Predictive Analytics:
Data analytics enables continuous crop monitoring and predictive analysis, helping farmers anticipate issues such as diseases, pests, and weather-related challenges.
This report aims to provide a comprehensive presentation of the global market for Agriculture Data Analytics, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Agriculture Data Analytics.
Report Scope
The Agriculture Data Analytics market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Agriculture Data Analytics market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Agriculture Data Analytics companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
IBM
SAP SE
Trimble
Monsanto Company
Oracle
Accenture
Iteris
Taranis
Agribotix
Granular
Proagrica
Segment by Type
Weather Data Analytics
Crop Growth Monitoring Data Analytics
Land Preparation Data Analytics
Others
Segment by Application
Farm Analytics
Livestock Analytics
Aquaculture Analytics
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Agriculture Data Analytics companies鈥� competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Agriculture Data Analytics Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Weather Data Analytics
1.2.3 Crop Growth Monitoring Data Analytics
1.2.4 Land Preparation Data Analytics
1.2.5 Others
1.3 Market by Application
1.3.1 Global Agriculture Data Analytics Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Farm Analytics
1.3.3 Livestock Analytics
1.3.4 Aquaculture Analytics
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Agriculture Data Analytics Market Perspective (2019-2030)
2.2 Agriculture Data Analytics Growth Trends by Region
2.2.1 Global Agriculture Data Analytics Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Agriculture Data Analytics Historic Market Size by Region (2019-2024)
2.2.3 Agriculture Data Analytics Forecasted Market Size by Region (2025-2030)
2.3 Agriculture Data Analytics Market Dynamics
2.3.1 Agriculture Data Analytics Industry Trends
2.3.2 Agriculture Data Analytics Market Drivers
2.3.3 Agriculture Data Analytics Market Challenges
2.3.4 Agriculture Data Analytics Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Agriculture Data Analytics Players by Revenue
3.1.1 Global Top Agriculture Data Analytics Players by Revenue (2019-2024)
3.1.2 Global Agriculture Data Analytics Revenue Market Share by Players (2019-2024)
3.2 Global Agriculture Data Analytics Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Agriculture Data Analytics Revenue
3.4 Global Agriculture Data Analytics Market Concentration Ratio
3.4.1 Global Agriculture Data Analytics Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Agriculture Data Analytics Revenue in 2023
3.5 Agriculture Data Analytics Key Players Head office and Area Served
3.6 Key Players Agriculture Data Analytics Product Solution and Service
3.7 Date of Enter into Agriculture Data Analytics Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Agriculture Data Analytics Breakdown Data by Type
4.1 Global Agriculture Data Analytics Historic Market Size by Type (2019-2024)
4.2 Global Agriculture Data Analytics Forecasted Market Size by Type (2025-2030)
5 Agriculture Data Analytics Breakdown Data by Application
5.1 Global Agriculture Data Analytics Historic Market Size by Application (2019-2024)
5.2 Global Agriculture Data Analytics Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Agriculture Data Analytics Market Size (2019-2030)
6.2 North America Agriculture Data Analytics Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Agriculture Data Analytics Market Size by Country (2019-2024)
6.4 North America Agriculture Data Analytics Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Agriculture Data Analytics Market Size (2019-2030)
7.2 Europe Agriculture Data Analytics Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Agriculture Data Analytics Market Size by Country (2019-2024)
7.4 Europe Agriculture Data Analytics Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Agriculture Data Analytics Market Size (2019-2030)
8.2 Asia-Pacific Agriculture Data Analytics Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Agriculture Data Analytics Market Size by Region (2019-2024)
8.4 Asia-Pacific Agriculture Data Analytics Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Agriculture Data Analytics Market Size (2019-2030)
9.2 Latin America Agriculture Data Analytics Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Agriculture Data Analytics Market Size by Country (2019-2024)
9.4 Latin America Agriculture Data Analytics Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Agriculture Data Analytics Market Size (2019-2030)
10.2 Middle East & Africa Agriculture Data Analytics Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Agriculture Data Analytics Market Size by Country (2019-2024)
10.4 Middle East & Africa Agriculture Data Analytics Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 IBM
11.1.1 IBM Company Detail
11.1.2 IBM Business Overview
11.1.3 IBM Agriculture Data Analytics Introduction
11.1.4 IBM Revenue in Agriculture Data Analytics Business (2019-2024)
11.1.5 IBM Recent Development
11.2 SAP SE
11.2.1 SAP SE Company Detail
11.2.2 SAP SE Business Overview
11.2.3 SAP SE Agriculture Data Analytics Introduction
11.2.4 SAP SE Revenue in Agriculture Data Analytics Business (2019-2024)
11.2.5 SAP SE Recent Development
11.3 Trimble
11.3.1 Trimble Company Detail
11.3.2 Trimble Business Overview
11.3.3 Trimble Agriculture Data Analytics Introduction
11.3.4 Trimble Revenue in Agriculture Data Analytics Business (2019-2024)
11.3.5 Trimble Recent Development
11.4 Monsanto Company
11.4.1 Monsanto Company Company Detail
11.4.2 Monsanto Company Business Overview
11.4.3 Monsanto Company Agriculture Data Analytics Introduction
11.4.4 Monsanto Company Revenue in Agriculture Data Analytics Business (2019-2024)
11.4.5 Monsanto Company Recent Development
11.5 Oracle
11.5.1 Oracle Company Detail
11.5.2 Oracle Business Overview
11.5.3 Oracle Agriculture Data Analytics Introduction
11.5.4 Oracle Revenue in Agriculture Data Analytics Business (2019-2024)
11.5.5 Oracle Recent Development
11.6 Accenture
11.6.1 Accenture Company Detail
11.6.2 Accenture Business Overview
11.6.3 Accenture Agriculture Data Analytics Introduction
11.6.4 Accenture Revenue in Agriculture Data Analytics Business (2019-2024)
11.6.5 Accenture Recent Development
11.7 Iteris
11.7.1 Iteris Company Detail
11.7.2 Iteris Business Overview
11.7.3 Iteris Agriculture Data Analytics Introduction
11.7.4 Iteris Revenue in Agriculture Data Analytics Business (2019-2024)
11.7.5 Iteris Recent Development
11.8 Taranis
11.8.1 Taranis Company Detail
11.8.2 Taranis Business Overview
11.8.3 Taranis Agriculture Data Analytics Introduction
11.8.4 Taranis Revenue in Agriculture Data Analytics Business (2019-2024)
11.8.5 Taranis Recent Development
11.9 Agribotix
11.9.1 Agribotix Company Detail
11.9.2 Agribotix Business Overview
11.9.3 Agribotix Agriculture Data Analytics Introduction
11.9.4 Agribotix Revenue in Agriculture Data Analytics Business (2019-2024)
11.9.5 Agribotix Recent Development
11.10 Granular
11.10.1 Granular Company Detail
11.10.2 Granular Business Overview
11.10.3 Granular Agriculture Data Analytics Introduction
11.10.4 Granular Revenue in Agriculture Data Analytics Business (2019-2024)
11.10.5 Granular Recent Development
11.11 Proagrica
11.11.1 Proagrica Company Detail
11.11.2 Proagrica Business Overview
11.11.3 Proagrica Agriculture Data Analytics Introduction
11.11.4 Proagrica Revenue in Agriculture Data Analytics Business (2019-2024)
11.11.5 Proagrica Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details

Companies Mentioned:

IBM
SAP SE
Trimble
Monsanto Company
Oracle
Accenture
Iteris
Taranis
Agribotix
Granular
Proagrica

License Types:

Single User License (PDF)

This license allows for use of a publication by one person.
This person may print out a single copy of the publication.
This person can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.
This person cannot share the publication (or any information contained therein) with any other person or persons.
Unless a Enterprise License is purchased, a Single User License must be purchased for every person that wishes to use the publication within the same organization.
Customers who infringe these license terms are liable for a Global license fee.

听

Site License (PDF)*

This license allows for use of a publication by all users within one corporate location, e.g. a regional office.
These users may print out a single copy of the publication.
These users can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.
These users cannot share the publication (or any information contained therein) with any other person or persons outside the corporate location for which the publication is purchased.
Unless a Enterprise License is purchased, a Site User License must be purchased for every corporate location by an organization that wishes to use the publication within the same organization.
Customers who infringe these license terms are liable for a Global license fee.

听

Global License (PDF)*

This license allows for use of a publication by unlimited users within the purchasing organization e.g. all employees of a single company.
Each of these people may use the publication on any computer, and may print out the report, but may not share the publication (or any information contained therein) with any other person or persons outside of the organization.
These employees of purchasing organization can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.

*If Applicable.

91制片厂