Global Climate-Smart Agriculture Market Size, Share & Trends Analysis Report By Practice, By Technology, By Application, By Region, Segment Forecast, 2024–2031
- Published Date : 2024-11-04
- Pages : 100
- Report Id : 40535
- Categories : Agriculture
This report provides a comprehensive analysis of the Global Climate-Smart Agriculture Market, including historical market sizes from 2019 to 2022 and forecasts for 2024 to 2031. The market is estimated to be valued at USD 17810 Million in 2023 and is projected to grow to approximately USD 41380 Million by 2031, reflecting a compound annual growth rate (CAGR) of 13.5 % during the forecast period. This growth underscores the increasing demand for advanced data management solutions and highlights the importance of technological innovations in the sector.
The global climate-smart agriculture (CSA) market is evolving as an essential response to the growing impacts of climate change on agriculture, which threaten food security, rural livelihoods, and environmental sustainability. CSA integrates practices that increase agricultural productivity, enhance resilience to climate variability, and reduce greenhouse gas emissions where possible. This approach emphasizes sustainable farming techniques that are adaptable to regional conditions and resilient to climate stressors, such as drought-resistant crop varieties, precision farming, efficient water management, and soil health improvement. The rising awareness of climate risks and the urgent need for sustainable food production systems have driven governments, international bodies, and the private sector to invest in CSA practices. As CSA becomes a priority for many countries, policy support and incentives for climate-resilient agriculture are emerging. Global initiatives are also promoting CSA by supporting knowledge transfer, financing, and capacity-building to empower farmers and communities. In addition, advancements in agricultural technology are playing a pivotal role by enabling data-driven decisions that optimize resource use, reduce waste, and foster long-term environmental stewardship. The increasing adoption of digital farming tools, such as satellite monitoring, IoT-based sensors, and AI-driven insights, has further strengthened CSA s potential impact. These innovations enable farmers to anticipate climate risks, manage crops more effectively, and conserve natural resources. The market outlook remains promising as climate-smart strategies align with global sustainability goals, such as carbon neutrality and biodiversity conservation. This commitment to resilient and sustainable agriculture signifies an opportunity for the sector to adapt and thrive, addressing both food security and environmental resilience.
For the geography segment, regional supply, demand, major players, and price are presented from 2019 to 2031. This report covers the following regions:
North America
Asia-Pacific
Europe
Middle East and Africa
South America
Segments-
By Practice-
Precision Farming
Agroforestry
Water Management
Crop Diversification
Soil Management
CSA practices focus on sustainable farming methods that enhance productivity, resilience, and environmental health. Key practices include agroforestry, crop rotation, intercropping, integrated pest management, and conservation agriculture. Agroforestry combines trees with crops or livestock to improve biodiversity and soil health, while crop rotation and intercropping help reduce pest prevalence and maintain soil nutrients. Integrated pest management minimizes chemical use, promoting ecological balance, and conservation agriculture focuses on soil protection through practices like minimum tillage. Each of these practices addresses climate challenges by enhancing the agricultural system's overall sustainability.
By Technology
IoT and Sensors
Data Analytics and AI
Remote Sensing and GIS
Climate Modeling
Genetically Modified Organisms (GMOs)
Technologies in CSA range from precision agriculture tools to renewable energy systems tailored for farm use. Precision farming leverages GPS, IoT sensors, and data analytics for real-time monitoring and efficient resource management. Smart irrigation systems optimize water use, and renewable energy sources like solar-powered pumps reduce fossil fuel reliance. Drones and remote sensing help monitor crop health, weather patterns, and soil conditions, providing actionable insights for farmers. Biotechnologies, such as drought-tolerant seeds, also aid in creating resilient crops suited for challenging climates, enabling farms to adapt to diverse environmental conditions.
By Application
Crop Production
Livestock Management
Aquaculture and Fisheries
Agro-Processing
CSA applications span crop farming, livestock farming, aquaculture, and agroforestry, each adapting climate-smart practices to specific needs. In crop farming, precision agriculture and water management systems help increase yield and reduce inputs. Livestock farming focuses on sustainable feed, waste management, and emission reduction practices, like feed additives to lower methane emissions. Aquaculture incorporates water quality management and fish health monitoring, supporting a sustainable seafood supply. Agroforestry supports biodiversity and improves soil health through integrated crop-livestock-forest systems, contributing to climate resilience across various agricultural systems.
Key Players
Deere & Company (US),
Trimble Inc. (US),
AGCO Corporation (US),
Topcon Positioning Systems (US),
DeLaval (Sweden),
AKVA Group (Norway),
Allflex Livestock Intelligence (US),
Innovasea Systems Inc. (US),
Afimilk Ltd. (Israel),
Heliospectra AB (Sweden)
For the competitor segment, the report includes global key players and some small players. The information for each competitor includes:
Company Profile
Main Business Information
Financial Analysis
Market Share
Please ask for sample pages for the full company list
Base Year: 2023
Historical Data: from 2019 to 2022
Forecast Data: from 2024 to 2031
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TABLE OF CONTENTS
Market Taxonomy
1. Executive Summary
1.1. Market Overview
1.2. Market Analysis and Recommendations
1.3. RA Analysis and Recommendations
2. Market Introduction
2.1. Market Definition
3. Market Background
3.1. Market Overview
3.1.1. Global Climate-Smart Agriculture Market Outlook
3.1.2. Global Climate-Smart Agriculture Market Overview
3.2. Macro-Economic Overview
3.2.1. GDP Growth
3.2.2. Retail Industry Growth
3.3. Pricing Analysis
3.4. Challenges related to the adoption of Global Climate-Smart Agriculture Market
3.5. Regulations of Global Climate-Smart Agriculture Market
3.6. Forecast Factors: Relevance and Impact
3.7. Market Dynamics
3.7.1. Drivers
3.7.2. Restraints
3.7.3. Opportunity
3.7.4. Trends
3.7.5. SWOT Analysis
4. Market Forecast
4.1. Market Value Projections
4.2. Market Size Projections
4.3. Y-o-Y Projections
4.4. Absolute Opportunity Analysis
5. Global Global Climate-Smart Agriculture Market Analysis By Practice
5.1. Introduction
5.1.1. Market Value Share Analysis By Practice
5.1.2. Y-o-Y Growth Analysis By Practice
5.2. Historical Market Size (USD Mn) Analysis 2018-2022 By Practice
5.3. Market Attractiveness Analysis By Practice
6. Global Global Climate-Smart Agriculture Market Analysis By Technology
6.1. Introduction
6.1.1. Market Value Share Analysis By Technology
6.1.2. Y-o-Y Growth Analysis By Technology
6.2. Historical Market Size (USD Mn) Analysis 2018-2022 By Technology
6.3. Market Attractiveness Analysis By Technology
7. Market Structure Analysis
7.1. Market Analysis by Tier of Companies
7.2. Market Concentration
8. Competition Analysis
8.1. Competition Dashboard
8.2. Company Profiles (15 Companies)
8.2.1 John Deere
8.2.1.1. Overview
8.2.1.2. Technology Portfolio
8.2.1.3. Financial Overview
8.2.2. Trimble
8.2.2.1. Overview
8.2.2.2. Technology Portfolio
8.2.2.3. Financial Overview
8.2.3. Syngenta
8.2.3.1. Overview
8.2.3.2. Technology Portfolio
8.2.3.3. Financial Overview
8.2.4. AGCO Corporation
8.2.4.1. Overview
8.2.4.2. Technology Portfolio
8.2.4.3. Financial Overview
8.2.5. Corteva Agriscience
8.2.5.1. Overview
8.2.5.2. Technology Portfolio
8.2.5.3. Financial Overview
8.2.6. CNH Industrial
8.2.6.1. Overview
8.2.6.2. Technology Portfolio
8.2.6.3. Financial Overview
8.2.7. IBM
8.2.7.1. Overview
8.2.7.2. Technology Portfolio
8.2.7.3. Financial Overview
8.2.8. Monsanto
8.2.8.1. Overview
8.2.8.2. Technology Portfolio
8.2.8.3. Financial Overview
8.2.9. OxSyBio
8.2.9.1. Overview
8.2.8.2. Technology Portfolio
8.2.9.3. Financial Overview
8.2.10. Raven Industries
8.2.10.1. Overview
8.2.10.2. Technology Portfolio
8.2.10.3. Financial Overview
8.2.11. Company11
8.2.11.1. Overview
8.2.11.2. Technology Portfolio
8.2.11.3. Financial Overview
8.2.12. Company12
8.2.12.1. Overview
8.2.12.2. Technology Portfolio
8.2.12.3. Financial Overview
8.2.13. Company13
8.2.13.1. Overview
8.2.13.2. Technology Portfolio
8.2.13.3. Financial Overview
8.2.14. Company14
8.2.14.1. Overview
8.2.14.2. Technology Portfolio
8.2.14.3. Financial Overview
8.2.15. Company15
8.2.15.1. Overview
8.2.15.2. Technology Portfolio
8.2.15.3. Financial Overview
9. Global Global Climate-Smart Agriculture Market Analysis By Region
9.1. Introduction
9.1.1. Market Value Share Analysis By Region
9.1.2. Y-o-Y Growth Analysis By Region
9.2. Historical Market Size (USD Mn) Analysis 2018-2022 By Region
9.2.1. North America
9.2.2. Middle East and Africa
9.2.3. South America
9.2.4. Asia-Pacific
9.2.5. Others
9.3. Current Market Size (USD Mn) Forecast 2023-2030 By Region
9.3.1. North America
9.3.2. Middle East and Africa
9.3.3. South America
9.3.4. Asia-Pacific
9.3.5. Others
9.4. Market Attractiveness Analysis By Region
10. North America Global Climate-Smart Agriculture Market Analysis
10.1. Introduction
10.2. Historical Market Size (USD Mn) Analysis 2018-2022 By Country
10.2.1. U.S.
10.2.2. Canada
10.2.3. Mexico
10.2.4. Rest of North America
10.3. Current Market Size (USD Mn) Forecast 2023-2030 By Country
10.3.1. U.S.
10.3.2. Canada
10.3.3. Mexico
10.3.4. Rest of North America
10.4. Historical Market Size (USD Mn) Analysis 2018-2022 By Practice
10.5. Current Market Size (USD Mn) Forecast 2023-2030 By Practice
10.6. Historical Market Size (USD Mn) Analysis 2018-2022 By Technology
10.7. Current Market Size (USD Mn) Forecast 2023-2030 By Technology
11. South America Global Climate-Smart Agriculture Market Analysis
11.1. Introduction
11.2. Regional Pricing Analysis
11.3. Historical Market Size (USD Mn) Analysis 2018-2022 By Country
11.3.1. Brazil
11.3.2. Argentina
11.3.3. Rest of South America
11.4. Current Market Size (USD Mn) Forecast 2023-2030 By Country
11.4.1. Brazil
11.4.2. Argentina
11.4.3. Rest of South America
11.5. Historical Market Size (USD Mn) Analysis 2018-2022 By Practice
11.6. Current Market Size (USD Mn) Forecast 2023-2030 By Practice
11.7. Historical Market Size (USD Mn) Analysis 2018-2022 By Technology
11.8. Current Market Size (USD Mn) Forecast 2023-2030 By Technology
12. Europe Global Climate-Smart Agriculture Market Analysis
12.1. Introduction
12.2. Regional Pricing Analysis
12.3. Historical Market Size (USD Mn) Analysis 2018-2022 By Country
12.3.1. Germany
12.3.2. Italy
12.3.3. France
12.3.4. Spain
12.3.5. U.K.
12.3.6. Rest of Europe
12.4. Current Market Size (USD Mn) Forecast 2023-2030 By Country
12.4.1. Germany
12.4.2. Italy
12.4.3. France
12.4.4. Spain
12.4.5. U.K.
12.4.6. Rest of Europe
12.5. Historical Market Size (USD Mn) Analysis 2018-2022 By Practice
12.6. Current Market Size (USD Mn) Forecast 2023-2030 By Practice
12.7. Historical Market Size (USD Mn) Analysis 2018-2022 By Technology
12.8. Current Market Size (USD Mn) Forecast 2023-2030 By Technology
13. Middle East and Africa Global Climate-Smart Agriculture Market Analysis
13.1. Introduction
13.2. Regional Pricing Analysis
13.3. Historical Market Size (USD Mn) Analysis 2018-2022 By Country
13.3.1. Saudi Arabia
13.3.2. U.A.E.
13.3.3. South Africa
13.3.4. Turkey
13.3.5. Rest of Middle East and Africa
13.4. Current Market Size (USD Mn) Forecast 2023-2030 By Country
13.4.1. Saudi Arabia
13.4.2. U.A.E.
13.4.3. South Africa
13.4.4. Turkey
13.4.5. Rest of Middle East and Africa
14. Asia-Pacific Global Climate-Smart Agriculture Market Analysis
14.1. Introduction
14.2. Regional Pricing Analysis
14.3. Historical Market Size (USD Mn) Analysis 2018-2022 By Country
14.3.1. China
14.3.2. India
14.3.3. Japan
14.3.4. South Korea
14.3.5. Singapore
14.3.6. Australia and New Zealand
14.3.7. Rest of Asia-Pacific
14.4. Current Market Size (USD Mn) Forecast 2023-2030 By Country
14.4.1. China
14.4.2. India
14.4.3. Japan
14.4.4. South Korea
14.4.5. Singapore
14.4.6. Australia and New Zealand
14.4.7. Rest of Asia-Pacific
i. Research Methodology
ii. Assumptions & Acronyms
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