Asia-Pacific Smart Weed Control Market - Analysis and Forecast, 2023-2028
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Introduction to Asia-Pacific Smart Weed Control Market
The Asia-Pacific smart weed control market (excluding China), valued at $135.7 million in 2022, is expected to reach $408.3 million by 2028, exhibiting a robust CAGR of 18.8% during the forecast period (2023-2028). The agriculture industry's expanding emphasis on increasing crop yields while lowering input costs is the main factor driving the rise. Effective weed control, efficient herbicide application, and accurate and targeted weed management are all made possible by smart weed control technologies. These technologies are expected to boost the growth of the global smart weed control market in the upcoming years by helping farmers make data-driven decisions, improve operational efficiency, cut down on resource waste, and lessen their environmental impact.
Market Introduction
Smart weed control effectively detects and removes undesired plants by utilizing cutting-edge technology including robots, computer vision, and machine learning. These systems reduce the need for chemical pesticides and manual work by focusing on weeds while minimizing their influence on desired crops through analysis of plant features and growth patterns. Together, sensors, AI-driven equipment, and autonomous drones accurately apply treatment, maximizing resource efficiency and advancing sustainable agriculture. This cutting-edge method ensures effective and environmentally responsible crop production by increasing output, reducing harm to the environment, and revolutionizing weed management for modern farming.
As a result, smart weed control is becoming more and more important in contemporary agriculture since it has the ability to transform weed management techniques and solve important issues that land managers and farmers face. Smart weed control aims to get around the drawbacks of traditional weed control techniques like hand weeding and indiscriminate pesticide spraying. Sustainability of the environment is one of the main justifications for the need for intelligent weed management. The spraying of conventional herbicides may result in chemical drift, which could harm non-target plants and have an adverse effect on wildlife. Conversely, smart weed management minimizes chemical use and lowers the possibility of environmental contamination by providing focused and accurate herbicide application.
Market Segmentation:
Segmentation 1: by Application
Product/Innovation Strategy: The product segment helps the reader to understand the different technologies used for smart weed control and their potential in Asia-Pacific region. Moreover, the study gives the reader a detailed understanding of the different solutions provided by smart weed control providers for imaging, processing, and analyzing. Compared to conventional agricultural methods, smart weed control enables more exact targeting of planting, soil mapping, and forestry, allowing farmers to save money by maximizing the use of their inputs.
Growth/Marketing Strategy: The Asia-Pacific smart weed control market has seen major development by key players operating in the market, such as business expansion, partnership, collaboration, and joint venture. The favored strategy for the companies has been partnership, collaboration, and joint venture activities to strengthen their position in the Asia-Pacific smart weed control market.
Competitive Strategy: Key players in the smart weed control market analyzed and profiled in the study involve smart weed control-based product manufacturers, including market segments covered by distinct product kinds, applications served, and regional presence, as well as the influence of important market tactics employed. Moreover, a detailed competitive benchmarking of the players operating in the Asia-Pacific smart weed control market has been done to help the reader understand how players stack against each other, presenting a clear market landscape. Additionally, comprehensive competitive strategies such as partnerships, agreements, and collaborations will aid the reader in understanding the untapped revenue pockets in the market.
Introduction to Asia-Pacific Smart Weed Control Market
The Asia-Pacific smart weed control market (excluding China), valued at $135.7 million in 2022, is expected to reach $408.3 million by 2028, exhibiting a robust CAGR of 18.8% during the forecast period (2023-2028). The agriculture industry's expanding emphasis on increasing crop yields while lowering input costs is the main factor driving the rise. Effective weed control, efficient herbicide application, and accurate and targeted weed management are all made possible by smart weed control technologies. These technologies are expected to boost the growth of the global smart weed control market in the upcoming years by helping farmers make data-driven decisions, improve operational efficiency, cut down on resource waste, and lessen their environmental impact.
Market Introduction
Smart weed control effectively detects and removes undesired plants by utilizing cutting-edge technology including robots, computer vision, and machine learning. These systems reduce the need for chemical pesticides and manual work by focusing on weeds while minimizing their influence on desired crops through analysis of plant features and growth patterns. Together, sensors, AI-driven equipment, and autonomous drones accurately apply treatment, maximizing resource efficiency and advancing sustainable agriculture. This cutting-edge method ensures effective and environmentally responsible crop production by increasing output, reducing harm to the environment, and revolutionizing weed management for modern farming.
As a result, smart weed control is becoming more and more important in contemporary agriculture since it has the ability to transform weed management techniques and solve important issues that land managers and farmers face. Smart weed control aims to get around the drawbacks of traditional weed control techniques like hand weeding and indiscriminate pesticide spraying. Sustainability of the environment is one of the main justifications for the need for intelligent weed management. The spraying of conventional herbicides may result in chemical drift, which could harm non-target plants and have an adverse effect on wildlife. Conversely, smart weed management minimizes chemical use and lowers the possibility of environmental contamination by providing focused and accurate herbicide application.
Market Segmentation:
Segmentation 1: by Application
- Agriculture
- Non-Agriculture
- Weed Mapping
- Weed Sensing and Management
- China
- Asia-Pacific - Japan, India, Australia and New Zealand, South Korea, and Rest-of-Asia-Pacific
Product/Innovation Strategy: The product segment helps the reader to understand the different technologies used for smart weed control and their potential in Asia-Pacific region. Moreover, the study gives the reader a detailed understanding of the different solutions provided by smart weed control providers for imaging, processing, and analyzing. Compared to conventional agricultural methods, smart weed control enables more exact targeting of planting, soil mapping, and forestry, allowing farmers to save money by maximizing the use of their inputs.
Growth/Marketing Strategy: The Asia-Pacific smart weed control market has seen major development by key players operating in the market, such as business expansion, partnership, collaboration, and joint venture. The favored strategy for the companies has been partnership, collaboration, and joint venture activities to strengthen their position in the Asia-Pacific smart weed control market.
Competitive Strategy: Key players in the smart weed control market analyzed and profiled in the study involve smart weed control-based product manufacturers, including market segments covered by distinct product kinds, applications served, and regional presence, as well as the influence of important market tactics employed. Moreover, a detailed competitive benchmarking of the players operating in the Asia-Pacific smart weed control market has been done to help the reader understand how players stack against each other, presenting a clear market landscape. Additionally, comprehensive competitive strategies such as partnerships, agreements, and collaborations will aid the reader in understanding the untapped revenue pockets in the market.
1 MARKETS
1.1 Industry Outlook
1.1.1 Market Definition
1.1.2 Ongoing Trends
1.1.2.1 5G: Future Communication Technologies for Smart Farming
1.1.2.2 Rise in Utilization of Ultraviolet (UV) Laser Weeding in Agriculture
1.1.3 Ecosystem/Ongoing Programs
1.1.3.1 Consortiums and Associations
1.1.3.2 Regulatory Bodies
1.1.3.3 Government Programs
1.2 Business Dynamics
1.2.1 Business Drivers
1.2.1.1 Growing Crop Losses Due to Weed Infestation
1.2.1.2 Need for Sustainable Agriculture Practices
1.2.1.3 Economic Aspects, Commercial Adaptation, and Ecological Benefits of Site-Specific Weed Management
1.2.2 Business Challenges
1.2.2.1 High Initial Cost of Smart Weed Control Technologies or Equipment
1.2.2.2 Rising Concern over Data Security with Increasing Cyber Attacks
1.2.2.3 Lack of Interoperability Hindering the Growth
1.2.3 Market Strategy and Development
1.2.3.1 Business Strategies
1.2.3.1.1 Product Development and Innovation
1.2.3.1.2 Market Development
1.2.3.2 Corporate Strategies
1.2.3.2.1 Mergers and Acquisitions
1.2.3.2.2 Partnerships, Joint Ventures, Collaborations, and Alliances
1.2.3.3 Snapshot of Corporate Strategies Adopted by the Players in Smart Weed Control Market
1.2.4 Business Opportunities
1.2.4.1 Development of Innovative and Affordable Smart Weed Control Solutions
1.2.4.2 Development toward Artificial Intelligence and Machine Learning-Based Weed Control Equipment
1.3 Case Studies
1.3.1 Smart Weed Control Case Studies
1.4 Start-Up Landscape
1.4.1 Key Start-Ups in the Ecosystem
1.4.2 Funding Analysis
1.4.2.1 Total Investments and Number of Funding Deals
1.4.2.2 Top Funding Deals, 2022
1.4.2.3 Funding (by Technology)
1.4.2.4 Funding (by Year)
2 REGION
2.1 China
2.1.1 Market
2.1.1.1 Buyer Attributes
2.1.1.2 Key Companies in China
2.1.1.3 Business Drivers
2.1.1.4 Business Challenges
2.1.2 Application
2.1.2.1 China Smart Weed Control Market (by Application)
2.1.3 Product
2.1.3.1 China Smart Weed Control Market (by Type)
2.2 Asia-Pacific
2.2.1 Market
2.2.1.1 Key Companies in Asia-Pacific
2.2.1.2 Buyer Attributes
2.2.1.3 Business Drivers
2.2.1.4 Business Challenges
2.2.2 Application
2.2.2.1 Asia-Pacific Smart Weed Control Market (by Application)
2.2.3 Product
2.2.3.1 Asia-Pacific Smart Weed Control Market (by Type)
2.2.4 Asia-Pacific Smart Weed Control Market (by Country)
2.2.5 Asia Pacific (by Country)
2.2.5.1 Japan
2.2.5.2 Australia and New Zealand
2.2.5.3 South Korea
2.2.5.4 India
2.2.5.5 Rest-of-Asia-Pacific
3 MARKETS - COMPETITIVE BENCHMARKING AND COMPANY PROFILES
3.1 Competitive Benchmarking
3.1.1 Robotic Weeder Companies
3.1.2 Drone or UAV Sprayer Companies
3.1.3 Market Share Analysis of Robotic Weeder Manufacturers
3.1.4 Market Share Analysis of Drone or UAV Sprayer Manufacturers
3.2 Company Profiles
3.2.1 XAG Co., Ltd.
3.2.1.1 Company Overview
3.2.1.2 Role of XAG Co., Ltd. in the Smart Weed Control Market
3.2.1.3 Product Portfolio
3.2.1.4 Business Strategies
3.2.1.4.1 Product Developments
3.2.1.4.2 Target Customers
3.2.1.5 Analyst View
4 RESEARCH METHODOLOGY
4.1 Data Sources
4.1.1 Primary Data Sources
4.1.2 Secondary Data Sources
4.1.3 Data Triangulation
4.2 Market Estimation and Forecast
1.1 Industry Outlook
1.1.1 Market Definition
1.1.2 Ongoing Trends
1.1.2.1 5G: Future Communication Technologies for Smart Farming
1.1.2.2 Rise in Utilization of Ultraviolet (UV) Laser Weeding in Agriculture
1.1.3 Ecosystem/Ongoing Programs
1.1.3.1 Consortiums and Associations
1.1.3.2 Regulatory Bodies
1.1.3.3 Government Programs
1.2 Business Dynamics
1.2.1 Business Drivers
1.2.1.1 Growing Crop Losses Due to Weed Infestation
1.2.1.2 Need for Sustainable Agriculture Practices
1.2.1.3 Economic Aspects, Commercial Adaptation, and Ecological Benefits of Site-Specific Weed Management
1.2.2 Business Challenges
1.2.2.1 High Initial Cost of Smart Weed Control Technologies or Equipment
1.2.2.2 Rising Concern over Data Security with Increasing Cyber Attacks
1.2.2.3 Lack of Interoperability Hindering the Growth
1.2.3 Market Strategy and Development
1.2.3.1 Business Strategies
1.2.3.1.1 Product Development and Innovation
1.2.3.1.2 Market Development
1.2.3.2 Corporate Strategies
1.2.3.2.1 Mergers and Acquisitions
1.2.3.2.2 Partnerships, Joint Ventures, Collaborations, and Alliances
1.2.3.3 Snapshot of Corporate Strategies Adopted by the Players in Smart Weed Control Market
1.2.4 Business Opportunities
1.2.4.1 Development of Innovative and Affordable Smart Weed Control Solutions
1.2.4.2 Development toward Artificial Intelligence and Machine Learning-Based Weed Control Equipment
1.3 Case Studies
1.3.1 Smart Weed Control Case Studies
1.4 Start-Up Landscape
1.4.1 Key Start-Ups in the Ecosystem
1.4.2 Funding Analysis
1.4.2.1 Total Investments and Number of Funding Deals
1.4.2.2 Top Funding Deals, 2022
1.4.2.3 Funding (by Technology)
1.4.2.4 Funding (by Year)
2 REGION
2.1 China
2.1.1 Market
2.1.1.1 Buyer Attributes
2.1.1.2 Key Companies in China
2.1.1.3 Business Drivers
2.1.1.4 Business Challenges
2.1.2 Application
2.1.2.1 China Smart Weed Control Market (by Application)
2.1.3 Product
2.1.3.1 China Smart Weed Control Market (by Type)
2.2 Asia-Pacific
2.2.1 Market
2.2.1.1 Key Companies in Asia-Pacific
2.2.1.2 Buyer Attributes
2.2.1.3 Business Drivers
2.2.1.4 Business Challenges
2.2.2 Application
2.2.2.1 Asia-Pacific Smart Weed Control Market (by Application)
2.2.3 Product
2.2.3.1 Asia-Pacific Smart Weed Control Market (by Type)
2.2.4 Asia-Pacific Smart Weed Control Market (by Country)
2.2.5 Asia Pacific (by Country)
2.2.5.1 Japan
2.2.5.2 Australia and New Zealand
2.2.5.3 South Korea
2.2.5.4 India
2.2.5.5 Rest-of-Asia-Pacific
3 MARKETS - COMPETITIVE BENCHMARKING AND COMPANY PROFILES
3.1 Competitive Benchmarking
3.1.1 Robotic Weeder Companies
3.1.2 Drone or UAV Sprayer Companies
3.1.3 Market Share Analysis of Robotic Weeder Manufacturers
3.1.4 Market Share Analysis of Drone or UAV Sprayer Manufacturers
3.2 Company Profiles
3.2.1 XAG Co., Ltd.
3.2.1.1 Company Overview
3.2.1.2 Role of XAG Co., Ltd. in the Smart Weed Control Market
3.2.1.3 Product Portfolio
3.2.1.4 Business Strategies
3.2.1.4.1 Product Developments
3.2.1.4.2 Target Customers
3.2.1.5 Analyst View
4 RESEARCH METHODOLOGY
4.1 Data Sources
4.1.1 Primary Data Sources
4.1.2 Secondary Data Sources
4.1.3 Data Triangulation
4.2 Market Estimation and Forecast
LIST OF FIGURES
Figure 1: Number of Herbicide-Resistant Weeds, By Region, 2022
Figure 2: Smart Weed Control Market, $Million, 2022-2028
Figure 3: Market Dynamics for Smart Weed Control Market
Figure 4: Smart Weed Control Market (by Application), $Million, 2022 and 2028
Figure 5: Smart Weed Control Market (by Type), $Million, 2022 and 2028
Figure 6: Smart Weed Control Market (by Region), $Billion, 2022
Figure 7: Characteristics of Smart Weed Control
Figure 8: 5G in Smart Weed Control – Case Study
Figure 9: Rise in Herbicide-Resistant Weed Biotypes and Levelling of New Herbicide Sites of Action
Figure 10: Malware Attacks on Agriculture Industry Globally, Million, 2021 and 2022
Figure 11: Product Development and Innovation (by Company), January 2019-June 2023
Figure 12: Partnerships, Joint Ventures, Collaborations, and Alliances (by Company), January 2019-January 2023
Figure 13: Snapshot of Corporate Strategies Adopted by the Players in Smart Weed Control Market
Figure 14: Remote Monitoring of Grape Crops for Weed and Health Management-Infosys
Figure 15: Reduction of Input Resources - Zerynth S.p.A.
Figure 16: Total Investment and Number of Funding Deals, $Million, January 2020-December 2022
Figure 17: Top Funding Deals in Smart Weed Control Market ($Million), 2022
Figure 18: Funding (by Technology), 2022
Figure 19: Funding (by Year), $Million, 2021 and 2022
Figure 20: Competitive Market High and Low Matrix for Robotic Weeder Companies
Figure 21: Competitive Market High and Low Matrix for Drone or UAV Sprayer Companies
Figure 22: Market Share Analysis of Robotic Weeder Manufacturers, 2022
Figure 23: Market Share Analysis of Drone/UAV Precision Sprayer Manufacturers, 2022
Figure 24: Data Triangulation
Figure 25: Top-Down and Bottom-Up Approach
Figure 26: Assumptions and Limitations
Figure 1: Number of Herbicide-Resistant Weeds, By Region, 2022
Figure 2: Smart Weed Control Market, $Million, 2022-2028
Figure 3: Market Dynamics for Smart Weed Control Market
Figure 4: Smart Weed Control Market (by Application), $Million, 2022 and 2028
Figure 5: Smart Weed Control Market (by Type), $Million, 2022 and 2028
Figure 6: Smart Weed Control Market (by Region), $Billion, 2022
Figure 7: Characteristics of Smart Weed Control
Figure 8: 5G in Smart Weed Control – Case Study
Figure 9: Rise in Herbicide-Resistant Weed Biotypes and Levelling of New Herbicide Sites of Action
Figure 10: Malware Attacks on Agriculture Industry Globally, Million, 2021 and 2022
Figure 11: Product Development and Innovation (by Company), January 2019-June 2023
Figure 12: Partnerships, Joint Ventures, Collaborations, and Alliances (by Company), January 2019-January 2023
Figure 13: Snapshot of Corporate Strategies Adopted by the Players in Smart Weed Control Market
Figure 14: Remote Monitoring of Grape Crops for Weed and Health Management-Infosys
Figure 15: Reduction of Input Resources - Zerynth S.p.A.
Figure 16: Total Investment and Number of Funding Deals, $Million, January 2020-December 2022
Figure 17: Top Funding Deals in Smart Weed Control Market ($Million), 2022
Figure 18: Funding (by Technology), 2022
Figure 19: Funding (by Year), $Million, 2021 and 2022
Figure 20: Competitive Market High and Low Matrix for Robotic Weeder Companies
Figure 21: Competitive Market High and Low Matrix for Drone or UAV Sprayer Companies
Figure 22: Market Share Analysis of Robotic Weeder Manufacturers, 2022
Figure 23: Market Share Analysis of Drone/UAV Precision Sprayer Manufacturers, 2022
Figure 24: Data Triangulation
Figure 25: Top-Down and Bottom-Up Approach
Figure 26: Assumptions and Limitations
LIST OF TABLES
Table 1: Key Consortiums and Associations in the Smart Weed Control Market
Table 2: Key Regulatory Bodies
Table 3: Key Government Programs
Table 4: Major Weed Species, By Region
Table 5: Status of Organic Farming Policies and Regulations Worldwide, 2022
Table 6: Average Cost of Equipment Used for Weed Control
Table 7: Key Start-Ups in the Smart Weed Control Market
Table 8: Smart Weed Control Market (by Region), $Million, 2022-2028
Table 9: China Smart Weed Control Market (by Application), $Million, 2022-2028
Table 10: China Smart Weed Control Market (by Crop Type), $Million, 2022-2028
Table 11: China Smart Weed Control Market (by Type), $Million, 2022-2028
Table 12: China Smart Weed Control Market (By Weed Mapping), $Million, 2022-2028
Table 13: China Smart Weed Control Market (by Weed Sensing and Management), $Million, 2022-2028
Table 14: China Smart Weed Control Market (by Weed Sensing and Management), Units, 2022-2028
Table 15: Asia-Pacific Smart Weed Control Market (by Application), $Million, 2022-2028
Table 16: Asia-Pacific Smart Weed Control Market (by Crop Type), $Million, 2022-2028
Table 17: Asia-Pacific Smart Weed Control Market (by Type), $Million, 2022-2028
Table 18: Asia-Pacific Smart Weed Control Market (by Weed Mapping), $Million, 2022-2028
Table 19: Asia-Pacific Smart Weed Control Market (by Weed Sensing and Management), $Million, 2022-2028
Table 20: Asia-Pacific Smart Weed Control Market (by Weed Sensing and Management), Units, 2022-2028
Table 21: Asia-Pacific Smart Weed Control Market (by Country), $Million, 2022-2028
Table 22: XAG Co., Ltd.: Product Portfolio
Table 23: XAG Co., Ltd.: Pricing Analysis
Table 24: XAG Co., Ltd.: Product Developments
Table 1: Key Consortiums and Associations in the Smart Weed Control Market
Table 2: Key Regulatory Bodies
Table 3: Key Government Programs
Table 4: Major Weed Species, By Region
Table 5: Status of Organic Farming Policies and Regulations Worldwide, 2022
Table 6: Average Cost of Equipment Used for Weed Control
Table 7: Key Start-Ups in the Smart Weed Control Market
Table 8: Smart Weed Control Market (by Region), $Million, 2022-2028
Table 9: China Smart Weed Control Market (by Application), $Million, 2022-2028
Table 10: China Smart Weed Control Market (by Crop Type), $Million, 2022-2028
Table 11: China Smart Weed Control Market (by Type), $Million, 2022-2028
Table 12: China Smart Weed Control Market (By Weed Mapping), $Million, 2022-2028
Table 13: China Smart Weed Control Market (by Weed Sensing and Management), $Million, 2022-2028
Table 14: China Smart Weed Control Market (by Weed Sensing and Management), Units, 2022-2028
Table 15: Asia-Pacific Smart Weed Control Market (by Application), $Million, 2022-2028
Table 16: Asia-Pacific Smart Weed Control Market (by Crop Type), $Million, 2022-2028
Table 17: Asia-Pacific Smart Weed Control Market (by Type), $Million, 2022-2028
Table 18: Asia-Pacific Smart Weed Control Market (by Weed Mapping), $Million, 2022-2028
Table 19: Asia-Pacific Smart Weed Control Market (by Weed Sensing and Management), $Million, 2022-2028
Table 20: Asia-Pacific Smart Weed Control Market (by Weed Sensing and Management), Units, 2022-2028
Table 21: Asia-Pacific Smart Weed Control Market (by Country), $Million, 2022-2028
Table 22: XAG Co., Ltd.: Product Portfolio
Table 23: XAG Co., Ltd.: Pricing Analysis
Table 24: XAG Co., Ltd.: Product Developments
