According to the research report, the global agriculturesupply chain management market size is expected to touch USD 2.17 Billion by 2032, from USD 0.83 Billion in 2022, growing with a significant CAGR of 10% from 2022 to 2032.
The agriculture supply chain management
market report offers a comprehensive study of the current state expected at the
major drivers, market strategies, and key vendors’ growth. The report presents
energetic visions to conclude and study the market size, market hopes, and
competitive surroundings. The research also focuses on the important
achievements of the market, research & development, and regional growth of
the leading competitors operating in the market. The current trends of the
global agriculture supply chain management market in conjunction with the
geographical landscape of this vertical have also been included in this report.
The report offers intricate dynamics about
different aspects of the global agriculture supply chain management market,
which aids companies operating in the market in making strategic development
decisions. The study also elaborates on significant changes that are highly
anticipated to configure growth of the global agriculture supply chain
management market during the forecast period. It also includes a key indicator
assessment that highlights growth prospects of this market and estimates
statistics related to growth of the market in terms of value (US$ Mn) and
volume (tons).
Sample
Link @ https://www.precedenceresearch.com/sample/2464
| Report Coverage | Details |
| Market Size in 2022 | USD 0.83 Billion |
| Market Size by 2030 | USD 2.17 Billion |
| Growth Rate from 2022 to 2032 | CAGR of 10% |
| Base Year | 2022 |
| Forecast Period | 2022 to 2032 |
| Segments Covered |
|
This study covers a detailed segmentation
of the global agriculture supply chain management market, along with key
information and a competition outlook. The report mentions company profiles of
players that are currently dominating the global agriculture supply chain
management market, wherein various developments, expansions, and winning
strategies practiced and implemented by leading players have been presented in
detail.
Key Players
- FCE Group AG
- Agri Value Chain
- Bext360
- Ambrosus
- ChainPoint
- AgriDigital
- eHarvestHub
- Eka
- GrainChain, Inc.
- Geora Ltd.
- IBM
- Trellis Ltd.
- Intellync
- SAP SE
- Proagrica
- Sustainable Agriculture Initiative Platform
Market Segmentation
- Solution
- Hardware
- Services
By Solution
- Transportation Management System
- Supply Chain Planning
- Warehouse Management System
- Procurement and Sourcing
- Manufacturing Execution System
By Deployment Model
- On-Demand and Cloud-Based
- On-Premise
By End-User
- Large Enterprises
- Small and Medium Enterprises
By Geography
- North America
- Europe
- Asia-Pacific
- Latin America
- Middle East & Africa (MEA)
Research Methodology
The research methodology adopted by
analysts for compiling the global agriculture supply chain management market
report is based on detailed primary as well as secondary research. With the
help of in-depth insights of the market-affiliated information that is obtained
and legitimated by market-admissible resources, analysts have offered riveting
observations and authentic forecasts for the global market.
During the primary research phase, analysts
interviewed market stakeholders, investors, brand managers, vice presidents,
and sales and marketing managers. Based on data obtained through interviews of
genuine resources, analysts have emphasized the changing scenario of the global
market.
For secondary research, analysts
scrutinized numerous annual report publications, white papers, market
association publications, and company websites to obtain the necessary
understanding of the global agriculture supply chain management market.
TABLE OF CONTENT
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Channel Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. COVID 19 Impact on Agriculture Supply Chain Management Market
5.1. COVID-19 Landscape: Agriculture Supply Chain Management Industry Impact
5.2. COVID 19 - Impact Assessment for the Industry
5.3. COVID 19 Impact: Global Major Government Policy
5.4. Market Trends and Opportunities in the COVID-19 Landscape
Chapter 6. Market Dynamics Analysis and Trends
6.1. Market Dynamics
6.1.1. Market Drivers
6.1.2. Market Restraints
6.1.3. Market Opportunities
6.2. Porter’s Five Forces Analysis
6.2.1. Bargaining power of suppliers
6.2.2. Bargaining power of buyers
6.2.3. Threat of substitute
6.2.4. Threat of new entrants
6.2.5. Degree of competition
Chapter 7. Competitive Landscape
7.1.1. Company Market Share/Positioning Analysis
7.1.2. Key Strategies Adopted by Players
7.1.3. Vendor Landscape
7.1.3.1. List of Suppliers
7.1.3.2. List of Buyers
Chapter 8. Global Agriculture Supply Chain Management Market, By Component
8.1. Agriculture Supply Chain Management Market, by Component, 2022-2030
8.1.1. Solution
8.1.1.1. Market Revenue and Forecast (2017-2030)
8.1.2. Hardware
8.1.2.1. Market Revenue and Forecast (2017-2030)
8.1.3. Services
8.1.3.1. Market Revenue and Forecast (2017-2030)
Chapter 9. Global Agriculture Supply Chain Management Market, By Solution
9.1. Agriculture Supply Chain Management Market, by Solution, 2022-2030
9.1.1. Transportation Management System
9.1.1.1. Market Revenue and Forecast (2017-2030)
9.1.2. Supply Chain Planning
9.1.2.1. Market Revenue and Forecast (2017-2030)
9.1.3. Warehouse Management System
9.1.3.1. Market Revenue and Forecast (2017-2030)
9.1.4. Procurement and Sourcing
9.1.4.1. Market Revenue and Forecast (2017-2030)
9.1.5. Manufacturing Execution System
9.1.5.1. Market Revenue and Forecast (2017-2030)
Chapter 10. Global Agriculture Supply Chain Management Market, By Deployment Model
10.1. Agriculture Supply Chain Management Market, by Deployment Model, 2022-2030
10.1.1. On-Demand and Cloud-Based
10.1.1.1. Market Revenue and Forecast (2017-2030)
10.1.2. On-Premise
10.1.2.1. Market Revenue and Forecast (2017-2030)
Chapter 11. Global Agriculture Supply Chain Management Market, By End-User
11.1. Agriculture Supply Chain Management Market, by End-User, 2022-2030
11.1.1. Large Enterprises
11.1.1.1. Market Revenue and Forecast (2017-2030)
11.1.2. Small and Medium Enterprises
11.1.2.1. Market Revenue and Forecast (2017-2030)
Chapter 12. Global Agriculture Supply Chain Management Market, Regional Estimates and Trend Forecast
12.1. North America
12.1.1. Market Revenue and Forecast, by Component (2017-2030)
12.1.2. Market Revenue and Forecast, by Solution (2017-2030)
12.1.3. Market Revenue and Forecast, by Deployment Model (2017-2030)
12.1.4. Market Revenue and Forecast, by End-User (2017-2030)
12.1.5. U.S.
12.1.5.1. Market Revenue and Forecast, by Component (2017-2030)
12.1.5.2. Market Revenue and Forecast, by Solution (2017-2030)
12.1.5.3. Market Revenue and Forecast, by Deployment Model (2017-2030)
12.1.5.4. Market Revenue and Forecast, by End-User (2017-2030)
12.1.6. Rest of North America
12.1.6.1. Market Revenue and Forecast, by Component (2017-2030)
12.1.6.2. Market Revenue and Forecast, by Solution (2017-2030)
12.1.6.3. Market Revenue and Forecast, by Deployment Model (2017-2030)
12.1.6.4. Market Revenue and Forecast, by End-User (2017-2030)
12.2. Europe
12.2.1. Market Revenue and Forecast, by Component (2017-2030)
12.2.2. Market Revenue and Forecast, by Solution (2017-2030)
12.2.3. Market Revenue and Forecast, by Deployment Model (2017-2030)
12.2.4. Market Revenue and Forecast, by End-User (2017-2030)
12.2.5. UK
12.2.5.1. Market Revenue and Forecast, by Component (2017-2030)
12.2.5.2. Market Revenue and Forecast, by Solution (2017-2030)
12.2.5.3. Market Revenue and Forecast, by Deployment Model (2017-2030)
12.2.5.4. Market Revenue and Forecast, by End-User (2017-2030)
12.2.6. Germany
12.2.6.1. Market Revenue and Forecast, by Component (2017-2030)
12.2.6.2. Market Revenue and Forecast, by Solution (2017-2030)
12.2.6.3. Market Revenue and Forecast, by Deployment Model (2017-2030)
12.2.6.4. Market Revenue and Forecast, by End-User (2017-2030)
12.2.7. France
12.2.7.1. Market Revenue and Forecast, by Component (2017-2030)
12.2.7.2. Market Revenue and Forecast, by Solution (2017-2030)
12.2.7.3. Market Revenue and Forecast, by Deployment Model (2017-2030)
12.2.7.4. Market Revenue and Forecast, by End-User (2017-2030)
12.2.8. Rest of Europe
12.2.8.1. Market Revenue and Forecast, by Component (2017-2030)
12.2.8.2. Market Revenue and Forecast, by Solution (2017-2030)
12.2.8.3. Market Revenue and Forecast, by Deployment Model (2017-2030)
12.2.8.4. Market Revenue and Forecast, by End-User (2017-2030)
12.3. APAC
12.3.1. Market Revenue and Forecast, by Component (2017-2030)
12.3.2. Market Revenue and Forecast, by Solution (2017-2030)
12.3.3. Market Revenue and Forecast, by Deployment Model (2017-2030)
12.3.4. Market Revenue and Forecast, by End-User (2017-2030)
12.3.5. India
12.3.5.1. Market Revenue and Forecast, by Component (2017-2030)
12.3.5.2. Market Revenue and Forecast, by Solution (2017-2030)
12.3.5.3. Market Revenue and Forecast, by Deployment Model (2017-2030)
12.3.5.4. Market Revenue and Forecast, by End-User (2017-2030)
12.3.6. China
12.3.6.1. Market Revenue and Forecast, by Component (2017-2030)
12.3.6.2. Market Revenue and Forecast, by Solution (2017-2030)
12.3.6.3. Market Revenue and Forecast, by Deployment Model (2017-2030)
12.3.6.4. Market Revenue and Forecast, by End-User (2017-2030)
12.3.7. Japan
12.3.7.1. Market Revenue and Forecast, by Component (2017-2030)
12.3.7.2. Market Revenue and Forecast, by Solution (2017-2030)
12.3.7.3. Market Revenue and Forecast, by Deployment Model (2017-2030)
12.3.7.4. Market Revenue and Forecast, by End-User (2017-2030)
12.3.8. Rest of APAC
12.3.8.1. Market Revenue and Forecast, by Component (2017-2030)
12.3.8.2. Market Revenue and Forecast, by Solution (2017-2030)
12.3.8.3. Market Revenue and Forecast, by Deployment Model (2017-2030)
12.3.8.4. Market Revenue and Forecast, by End-User (2017-2030)
12.4. MEA
12.4.1. Market Revenue and Forecast, by Component (2017-2030)
12.4.2. Market Revenue and Forecast, by Solution (2017-2030)
12.4.3. Market Revenue and Forecast, by Deployment Model (2017-2030)
12.4.4. Market Revenue and Forecast, by End-User (2017-2030)
12.4.5. GCC
12.4.5.1. Market Revenue and Forecast, by Component (2017-2030)
12.4.5.2. Market Revenue and Forecast, by Solution (2017-2030)
12.4.5.3. Market Revenue and Forecast, by Deployment Model (2017-2030)
12.4.5.4. Market Revenue and Forecast, by End-User (2017-2030)
12.4.6. North Africa
12.4.6.1. Market Revenue and Forecast, by Component (2017-2030)
12.4.6.2. Market Revenue and Forecast, by Solution (2017-2030)
12.4.6.3. Market Revenue and Forecast, by Deployment Model (2017-2030)
12.4.6.4. Market Revenue and Forecast, by End-User (2017-2030)
12.4.7. South Africa
12.4.7.1. Market Revenue and Forecast, by Component (2017-2030)
12.4.7.2. Market Revenue and Forecast, by Solution (2017-2030)
12.4.7.3. Market Revenue and Forecast, by Deployment Model (2017-2030)
12.4.7.4. Market Revenue and Forecast, by End-User (2017-2030)
12.4.8. Rest of MEA
12.4.8.1. Market Revenue and Forecast, by Component (2017-2030)
12.4.8.2. Market Revenue and Forecast, by Solution (2017-2030)
12.4.8.3. Market Revenue and Forecast, by Deployment Model (2017-2030)
12.4.8.4. Market Revenue and Forecast, by End-User (2017-2030)
12.5. Latin America
12.5.1. Market Revenue and Forecast, by Component (2017-2030)
12.5.2. Market Revenue and Forecast, by Solution (2017-2030)
12.5.3. Market Revenue and Forecast, by Deployment Model (2017-2030)
12.5.4. Market Revenue and Forecast, by End-User (2017-2030)
12.5.5. Brazil
12.5.5.1. Market Revenue and Forecast, by Component (2017-2030)
12.5.5.2. Market Revenue and Forecast, by Solution (2017-2030)
12.5.5.3. Market Revenue and Forecast, by Deployment Model (2017-2030)
12.5.5.4. Market Revenue and Forecast, by End-User (2017-2030)
12.5.6. Rest of LATAM
12.5.6.1. Market Revenue and Forecast, by Component (2017-2030)
12.5.6.2. Market Revenue and Forecast, by Solution (2017-2030)
12.5.6.3. Market Revenue and Forecast, by Deployment Model (2017-2030)
12.5.6.4. Market Revenue and Forecast, by End-User (2017-2030)
Chapter 13. Company Profiles
13.1. FCE Group AG
13.1.1. Company Overview
13.1.2. Product Offerings
13.1.3. Financial Performance
13.1.4. Recent Initiatives
13.2. Agri Value Chain
13.2.1. Company Overview
13.2.2. Product Offerings
13.2.3. Financial Performance
13.2.4. Recent Initiatives
13.3. Bext360
13.3.1. Company Overview
13.3.2. Product Offerings
13.3.3. Financial Performance
13.3.4. Recent Initiatives
13.4. Ambrosus
13.4.1. Company Overview
13.4.2. Product Offerings
13.4.3. Financial Performance
13.4.4. Recent Initiatives
13.5. ChainPoint
13.5.1. Company Overview
13.5.2. Product Offerings
13.5.3. Financial Performance
13.5.4. Recent Initiatives
13.6. AgriDigital
13.6.1. Company Overview
13.6.2. Product Offerings
13.6.3. Financial Performance
13.6.4. Recent Initiatives
13.7. eHarvestHub
13.7.1. Company Overview
13.7.2. Product Offerings
13.7.3. Financial Performance
13.7.4. Recent Initiatives
13.8. Eka
13.8.1. Company Overview
13.8.2. Product Offerings
13.8.3. Financial Performance
13.8.4. Recent Initiatives
13.9. GrainChain, Inc.
13.9.1. Company Overview
13.9.2. Product Offerings
13.9.3. Financial Performance
13.9.4. Recent Initiatives
13.10. Geora Ltd.
13.10.1. Company Overview
13.10.2. Product Offerings
13.10.3. Financial Performance
13.10.4. Recent Initiatives
Chapter 14. Research Methodology
14.1. Primary Research
14.2. Secondary Research
14.3. Assumptions
Chapter 15. Appendix
15.1. About Us
15.2. Glossary of Terms
Contact Us:
Precedence Research
Apt 1408 1785 Riverside Drive Ottawa, ON, K1G 3T7, Canada
Call: +1
774 402 6168
Email: sales@precedenceresearch.com
Website: https://www.precedenceresearch.com
Blog: https://www.pharma-geek.com
0 Comments