Global IoT-based Smart Agriculture Market Research Report 2024

Publication ID:

PB512243471

Publication Date:

December 3, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

Agriculture [2]

Industry & Manufacturing [3]

Description:

The global market for IoT-based Smart Agriculture was valued at US$ 11410 million in the year 2023 and is projected to reach a revised size of US$ 20200 million by 2030, growing at a CAGR of 9.8% during the forecast period.
IoT-based smart agriculture refers to the integration of Internet of Things (IoT) technology in agricultural production to achieve real-time monitoring, data transmission, intelligent analysis and control of farmland environment, crop growth status, agricultural facilities, etc., thereby optimizing agricultural production processes, improving production efficiency, reducing resource waste, and promoting the sustainable development of agriculture.
North American market for IoT-based Smart Agriculture is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for IoT-based Smart Agriculture is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for IoT-based Smart Agriculture in Precision Farming is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of IoT-based Smart Agriculture include Topcon, John Deere, Trimble, Raven Industries, Libelium, Semtech, DeLaval, Hexagon Agriculture, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for IoT-based Smart Agriculture, 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 IoT-based Smart Agriculture.
The IoT-based Smart Agriculture market size, estimations, and forecasts are provided in terms of and 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 IoT-based Smart Agriculture 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 IoT-based Smart Agriculture companies, new entrants, and industry chain related companies in this market with information on the revenues 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
Topcon
John Deere
Trimble
Raven Industries
Libelium
Semtech
DeLaval
Hexagon Agriculture
Segment by Type
Automation and Control Systems
Intelligent Equipment and Machinery
Other
Segment by Application
Precision Farming
Indoor Farming
Livestock Monitoring
Aquaculture
Others
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
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 IoT-based Smart Agriculture company 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 IoT-based Smart Agriculture Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Automation and Control Systems
1.2.3 Intelligent Equipment and Machinery
1.2.4 Other
1.3 Market by Application
1.3.1 Global IoT-based Smart Agriculture Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Precision Farming
1.3.3 Indoor Farming
1.3.4 Livestock Monitoring
1.3.5 Aquaculture
1.3.6 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global IoT-based Smart Agriculture Market Perspective (2019-2030)
2.2 Global IoT-based Smart Agriculture Growth Trends by Region
2.2.1 Global IoT-based Smart Agriculture Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 IoT-based Smart Agriculture Historic Market Size by Region (2019-2024)
2.2.3 IoT-based Smart Agriculture Forecasted Market Size by Region (2025-2030)
2.3 IoT-based Smart Agriculture Market Dynamics
2.3.1 IoT-based Smart Agriculture Industry Trends
2.3.2 IoT-based Smart Agriculture Market Drivers
2.3.3 IoT-based Smart Agriculture Market Challenges
2.3.4 IoT-based Smart Agriculture Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top IoT-based Smart Agriculture Players by Revenue
3.1.1 Global Top IoT-based Smart Agriculture Players by Revenue (2019-2024)
3.1.2 Global IoT-based Smart Agriculture Revenue Market Share by Players (2019-2024)
3.2 Global IoT-based Smart Agriculture Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by IoT-based Smart Agriculture Revenue
3.4 Global IoT-based Smart Agriculture Market Concentration Ratio
3.4.1 Global IoT-based Smart Agriculture Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by IoT-based Smart Agriculture Revenue in 2023
3.5 Global Key Players of IoT-based Smart Agriculture Head office and Area Served
3.6 Global Key Players of IoT-based Smart Agriculture, Product and Application
3.7 Global Key Players of IoT-based Smart Agriculture, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 IoT-based Smart Agriculture Breakdown Data by Type
4.1 Global IoT-based Smart Agriculture Historic Market Size by Type (2019-2024)
4.2 Global IoT-based Smart Agriculture Forecasted Market Size by Type (2025-2030)
5 IoT-based Smart Agriculture Breakdown Data by Application
5.1 Global IoT-based Smart Agriculture Historic Market Size by Application (2019-2024)
5.2 Global IoT-based Smart Agriculture Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America IoT-based Smart Agriculture Market Size (2019-2030)
6.2 North America IoT-based Smart Agriculture Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America IoT-based Smart Agriculture Market Size by Country (2019-2024)
6.4 North America IoT-based Smart Agriculture Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe IoT-based Smart Agriculture Market Size (2019-2030)
7.2 Europe IoT-based Smart Agriculture Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe IoT-based Smart Agriculture Market Size by Country (2019-2024)
7.4 Europe IoT-based Smart Agriculture 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 IoT-based Smart Agriculture Market Size (2019-2030)
8.2 Asia-Pacific IoT-based Smart Agriculture Market Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific IoT-based Smart Agriculture Market Size by Region (2019-2024)
8.4 Asia-Pacific IoT-based Smart Agriculture 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 IoT-based Smart Agriculture Market Size (2019-2030)
9.2 Latin America IoT-based Smart Agriculture Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America IoT-based Smart Agriculture Market Size by Country (2019-2024)
9.4 Latin America IoT-based Smart Agriculture Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa IoT-based Smart Agriculture Market Size (2019-2030)
10.2 Middle East & Africa IoT-based Smart Agriculture Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa IoT-based Smart Agriculture Market Size by Country (2019-2024)
10.4 Middle East & Africa IoT-based Smart Agriculture Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Topcon
11.1.1 Topcon Company Details
11.1.2 Topcon Business Overview
11.1.3 Topcon IoT-based Smart Agriculture Introduction
11.1.4 Topcon Revenue in IoT-based Smart Agriculture Business (2019-2024)
11.1.5 Topcon Recent Development
11.2 John Deere
11.2.1 John Deere Company Details
11.2.2 John Deere Business Overview
11.2.3 John Deere IoT-based Smart Agriculture Introduction
11.2.4 John Deere Revenue in IoT-based Smart Agriculture Business (2019-2024)
11.2.5 John Deere Recent Development
11.3 Trimble
11.3.1 Trimble Company Details
11.3.2 Trimble Business Overview
11.3.3 Trimble IoT-based Smart Agriculture Introduction
11.3.4 Trimble Revenue in IoT-based Smart Agriculture Business (2019-2024)
11.3.5 Trimble Recent Development
11.4 Raven Industries
11.4.1 Raven Industries Company Details
11.4.2 Raven Industries Business Overview
11.4.3 Raven Industries IoT-based Smart Agriculture Introduction
11.4.4 Raven Industries Revenue in IoT-based Smart Agriculture Business (2019-2024)
11.4.5 Raven Industries Recent Development
11.5 Libelium
11.5.1 Libelium Company Details
11.5.2 Libelium Business Overview
11.5.3 Libelium IoT-based Smart Agriculture Introduction
11.5.4 Libelium Revenue in IoT-based Smart Agriculture Business (2019-2024)
11.5.5 Libelium Recent Development
11.6 Semtech
11.6.1 Semtech Company Details
11.6.2 Semtech Business Overview
11.6.3 Semtech IoT-based Smart Agriculture Introduction
11.6.4 Semtech Revenue in IoT-based Smart Agriculture Business (2019-2024)
11.6.5 Semtech Recent Development
11.7 DeLaval
11.7.1 DeLaval Company Details
11.7.2 DeLaval Business Overview
11.7.3 DeLaval IoT-based Smart Agriculture Introduction
11.7.4 DeLaval Revenue in IoT-based Smart Agriculture Business (2019-2024)
11.7.5 DeLaval Recent Development
11.8 Hexagon Agriculture
11.8.1 Hexagon Agriculture Company Details
11.8.2 Hexagon Agriculture Business Overview
11.8.3 Hexagon Agriculture IoT-based Smart Agriculture Introduction
11.8.4 Hexagon Agriculture Revenue in IoT-based Smart Agriculture Business (2019-2024)
11.8.5 Hexagon Agriculture Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer

Companies Mentioned:

Topcon
John Deere
Trimble
Raven Industries
Libelium
Semtech
DeLaval
Hexagon Agriculture

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