CHEMICALS & MATERIALS
Global Paraquat Market - Industry Trends and Forecast to 2032
REPORT OVERVIEW
Global Paraquat Market, By Type (Paraquat Aqueous Solution, Paraquat Soluble Granule, Paraquat Water Soluble Gel, and Others), Application (Farms, Plantations and Estates, Non-Agricultural Weed Control, and Others), Region (North America, Europe, Asia-Pacific, South America, Middle East and Africa) – Industry Trends and Forecast to 2032.
Market Insights
Market Dynamics
- Weed control needs
- Cost-effectiveness
- Bans and restrictions
- Health and safety concerns
- Safer formulations
- Non-agricultural uses
- Increasing regulatory scrutiny
- Legal and liability risks
SEGMENTATION
- Type
- Paraquat Aqueous Solution
- Paraquat Soluble Granule
- Paraquat Water Soluble Gel
- Others
- Application
- Farms
- Plantations and Estates
- Non-Agricultural Weed Control
- Others
- North America
- U.S.
- Canada
- Mexico
- Rest of North America
- Europe
- Germany
- U.K.
- France
- Italy
- Spain
- Russia
- The Netherlands
- Belgium
- Turkey
- Rest of Europe
- Asia-Pacific
- China
- India
- Japan
- South Korea
- Singapore
- Malaysia
- Australia
- Thailand
- Philippines
- Rest of Asia-Pacific
- South America
- Brazil
- Argentina
- Chile
- Colombia
- Rest of South America
- Middle East and Africa
- Kingdom of Saudi Arabia
- South Africa
- U.A.E.
- Egypt
- Rest of Middle East and Africa
KEY MARKET PLAYERS
- Corteva
- Toshi Automatic Systems
- Aroxa Crop Science Private Limited
- Greenland Bio-Science
- Bayer AG
- UPL Ltd.
- Dhanuka Agritech Ltd.
- Syngenta Crop Protection AG
- AgFarm
- Sinon Corporation
Table OF CONTENTS
- SECTION 1 - INTRODUCTION
- 1.1 Taxonomy
- 1.2 Market Overview
- 1.3 Currency and Limitations
- 1.3.1 Currency
- 1.3.2 Limitations
- 1.4 Key Competitors
- SECTION 2 - RESEARCH METHODOLOGY
- 2.1 Research Approach
- 2.2 Data Collection and Validation
- 2.2.1 Secondary Research
- 2.2.2 Primary Research
- 2.3 Market Assessment
- 2.3.1 Market Size Estimation
- 2.3.2 Bottom-up Approach
- 2.3.3 Top-down Approach
- 2.3.4 Growth Forecast
- 2.4 Market Study Assumptions
- 2.5 Data Sources
- SECTION 3 - EXECUTIVE SUMMARY
- 3.1 Global Paraquat Market, by Type
- 3.2 Global Paraquat Market, by Application
- 3.3 Global Paraquat Market, by Geography
- 3.4 Market Position Grid
- SECTION 4 - PREMIUM INSIGHTS
- 4.1 Regulatory Framework
- 4.1.1 Standards
- 4.1.2 Regulatory Landscape
- 4.2 Value Chain Analysis
- 4.3 Supply Chain Analysis
- 4.4 COVID-19 Impact
- 4.5 Russia-Ukraine War Impact
- 4.6 PORTER's Five Force Analysis
- 4.7 PESTLE Analysis
- 4.8 SWOT Analysis
- 4.9 Go to Market Strategy
- 4.10 Opportunity Orbit
- 4.11 Multivariate Modelling
- 4.12 Pricing Analysis
- SECTION 5 - MARKET DYNAMICS
- 5.1 Trends
- 5.1.1 Regulatory changes
- 5.1.2 Sustainability focus
- 5.1.3 Trend 3
- 5.2 Drivers
- 5.2.1 Weed control needs
- 5.2.2 Cost-effectiveness
- 5.2.3 Driver 3
- 5.2.4 Driver 4
- 5.3 Restraints
- 5.3.1 Bans and restrictions
- 5.3.2 Health and safety concerns
- 5.3.3 Restraint 3
- 5.4 Opportunities
- 5.4.1 Safer formulations
- 5.4.2 Non-agricultural uses
- 5.4.3 Opportunity 3
- 5.4.4 Opportunity 4
- 5.5 Challenges
- 5.5.1 Increasing regulatory scrutiny
- 5.5.2 Legal and liability risks
- 5.5.3 Challenge 3
- SECTION 6 - GLOBAL PARAQUAT MARKET, BY TYPE
- 6.1 Type Summary
- 6.2 Market Attractive Index
- 6.3 Global Paraquat Market, by Type (2019-2032)
- SECTION 7 - GLOBAL PARAQUAT MARKET, BY APPLICATION
- 7.1 Application Summary
- 7.2 Market Attractive Index
- 7.3 Global Paraquat Market, by Application (2019-2032)
- SECTION 8 - GLOBAL PARAQUAT MARKET, BY GEOGRAPHY
- 8.1 Regional Summary
- 8.2 Market Attractive Index
- 8.3 Global Paraquat Market, by Geography (2019-2032)
- SECTION 9 - NORTH AMERICA PARAQUAT MARKET
- 9.1 North America Summary
- 9.2 Market Attractive Index
- 9.3 North America Paraquat Market, by Type (2019-2032)
- 9.4 North America Paraquat Market, by Application (2019-2032)
- 9.5 North America Paraquat Market, by Country (2019-2032)
- 9.5.1 U.S.
- 9.5.2 Canada
- 9.5.3 Mexico
- 9.5.4 Rest of North America
- SECTION 10 - EUROPE PARAQUAT MARKET
- 10.1 Europe Summary
- 10.2 Market Attractive Index
- 10.3 Europe Paraquat Market, by Type (2019-2032)
- 10.4 Europe Paraquat Market, by Application (2019-2032)
- 10.5 Europe Paraquat Market, by Country (2019-2032)
- 10.5.1 Germany
- 10.5.2 U.K.
- 10.5.3 France
- 10.5.4 Italy
- 10.5.5 Spain
- 10.5.6 Russia
- 10.5.7 The Netherlands
- 10.5.8 Belgium
- 10.5.9 Turkey
- 10.5.10 Rest of Europe
- SECTION 11 - ASIA-PACIFIC PARAQUAT MARKET
- 11.1 Asia-Pacific Summary
- 11.2 Market Attractive Index
- 11.3 Asia-Pacific Paraquat Market, by Type (2019-2032)
- 11.4 Asia-Pacific Paraquat Market, by Application (2019-2032)
- 11.5 Asia-Pacific Paraquat Market, by Country (2019-2032)
- 11.5.1 China
- 11.5.2 India
- 11.5.3 Japan
- 11.5.4 South Korea
- 11.5.5 Singapore
- 11.5.6 Malaysia
- 11.5.7 Australia
- 11.5.8 Thailand
- 11.5.9 Philippines
- 11.5.10 Rest of Asia-Pacific
- SECTION 12 - SOUTH AMERICA PARAQUAT MARKET
- 12.1 South America Summary
- 12.2 Market Attractive Index
- 12.3 South America Paraquat Market, by Type (2019-2032)
- 12.4 South America Paraquat Market, by Application (2019-2032)
- 12.5 South America Paraquat Market, by Country (2019-2032)
- 12.5.1 Brazil
- 12.5.2 Argentina
- 12.5.3 Chile
- 12.5.4 Colombia
- 12.5.5 Rest of South America
- SECTION 13 - MIDDLE EAST AND AFRICA PARAQUAT MARKET
- 13.1 Middle East and Africa Summary
- 13.2 Market Attractive Index
- 13.3 Middle East and Africa Paraquat Market, by Type (2019-2032)
- 13.4 Middle East and Africa Paraquat Market, by Application (2019-2032)
- 13.5 Middle East and Africa Paraquat Market, by Country (2019-2032)
- 13.5.1 Kingdom of Saudi Arabia
- 13.5.2 South Africa
- 13.5.3 U.A.E.
- 13.5.4 Egypt
- 13.5.5 Rest of Middle East and Africa
- SECTION 14 - COMPANY SHARE ANALYSIS
- 14.1 Global Paraquat Market, Company Share Analysis
- 14.2 North America Paraquat Market, Company Share Analysis
- 14.3 Europe Paraquat Market, Company Share Analysis
- 14.4 Asia-Pacific Paraquat Market, Company Share Analysis
- SECTION 15 - COMPANY PROFILES
- 15.1 Corteva
- 15.1.1 Company Snapshot
- 15.1.2 Financial Overview
- 15.1.3 Product Portfolio
- 15.1.4 Recent Developments
- 15.2 Toshi Automatic Systems
- 15.2.1 Company Snapshot
- 15.2.2 Financial Overview
- 15.2.3 Product Portfolio
- 15.2.4 Recent Developments
- 15.3 Aroxa Crop Science Private Limited
- 15.3.1 Company Snapshot
- 15.3.2 Financial Overview
- 15.3.3 Product Portfolio
- 15.3.4 Recent Developments
- 15.4 Greenland Bio-Science
- 15.4.1 Company Snapshot
- 15.4.2 Financial Overview
- 15.4.3 Product Portfolio
- 15.4.4 Recent Developments
- 15.5 Bayer AG
- 15.5.1 Company Snapshot
- 15.5.2 Financial Overview
- 15.5.3 Product Portfolio
- 15.5.4 Recent Developments
- 15.6 UPL Ltd.
- 15.6.1 Company Snapshot
- 15.6.2 Financial Overview
- 15.6.3 Product Portfolio
- 15.6.4 Recent Developments
- 15.7 Dhanuka Agritech Ltd.
- 15.7.1 Company Snapshot
- 15.7.2 Financial Overview
- 15.7.3 Product Portfolio
- 15.7.4 Recent Developments
- 15.8 Syngenta Crop Protection AG
- 15.8.1 Company Snapshot
- 15.8.2 Financial Overview
- 15.8.3 Product Portfolio
- 15.8.4 Recent Developments
- 15.9 AgFarm
- 15.9.1 Company Snapshot
- 15.9.2 Financial Overview
- 15.9.3 Product Portfolio
- 15.9.4 Recent Developments
- 15.10 Sinon Corporation
- 15.10.1 Company Snapshot
- 15.10.2 Financial Overview
- 15.10.3 Product Portfolio
- 15.10.4 Recent Developments
- SECTION 16 - RELATED REPORTS
- SECTION 17 - DISCLAIMER
RESEARCH METHODOLOGY
RESEARCH AND DATA COLLECTION
- Research articles published on Technium
- Science and MDPI
- Research publications by government approved associations and societies
DATA PRE-PROCESSING
The term "data pre-processing" refers to the collection of procedures and methods used to clean, modify, and make ready for analysis the raw data gathered during research and data collection. The completion of this phase is necessary to guarantee that the data are reliable, consistent, and appropriate for statistical analysis and other data-driven tasks. The data pre-processing ensures that the information gathered from research and data collection is comparable and expressed in standard units, by the integration of missing data pointers and algorithmic approaches.
MODELING AND FORECASTING
QUALITY ASSURANCE AND OUTPUT
Quality assurance and output involves the process of validation, adjustments, further publications of key market indicators. Extensive plausibility and consistency tests are performed on derived time series to ensure the high degree of quality of our market analysis. This quality assurance procedure also includes rigorous inspection, validation, and editing by an experienced management team to assure the dependability of the published data.