세계의 스마트 작물 스카우팅 및 스마트 스프레이 시장 - 세계 및 지역별 분석 : 제품별, 용도별, 국가별 분석 - 분석 및 예측(2023-2028년)

“Global Smart Crop Scouting and Smart Spraying Market to Reach $9.86 Billion by 2028.”

Industry Overview

The global smart crop scouting and smart spraying market was valued at $3.47 billion in 2022, which is expected to grow with a CAGR of 18.78% and reach $9.86 billion by 2028. This growth is primarily driven by the agricultural industry's growing emphasis on achieving higher crop yields while minimizing input costs. Smart crop scouting and smart spraying technologies offer precise and targeted approaches for pest and disease management, optimized nutrient application, and effective weed control. By enabling farmers to make data-driven decisions, enhance operational efficiency, reduce resource wastage, and mitigate environmental impact, these technologies are poised to fuel the expansion of the global smart crop scouting and smart spraying market in the coming years.

Market Introduction

Smart crop scouting and smart spraying are innovative agricultural practices that leverage advanced technologies to enhance crop management and protection. Smart crop scouting utilizes drones, sensors, and imaging systems to collect real-time data on crop health, pest presence, and field conditions, enabling precise decision-making for irrigation, fertilization, and pest control. On the other hand, smart spraying integrates sensors, AI, and data analytics to optimize pesticide application, considering factors like crop health, weather, and pest presence. These technologies minimize resource wastage, reduce environmental impact, and maximize crop yield, leading to more efficient and sustainable farming practices.

Impact

• Technological Advancements: The continuous advancements in technology, such as artificial intelligence, the Internet of Things (IoT), and data analytics, are driving the development of more sophisticated and effective smart crop scouting and smart spraying solutions. As these technologies continue to evolve, they enable farmers to gather real-time data, make accurate predictions, and apply targeted treatments, thereby optimizing crop management and increasing overall productivity.

• Increasing Need for Sustainable Agriculture: With growing concerns about environmental sustainability and the need to reduce chemical usage in agriculture, there is a rising demand for smart crop scouting and smart spraying solutions. These technologies offer precise and targeted approaches for pest and disease management, minimizing the need for excessive pesticide application. By promoting sustainable practices, smart crop scouting and smart spraying help to preserve the environment, protect beneficial organisms, and ensure safer food production.

• Government Initiatives and Regulations: Governments worldwide are recognizing the potential of smart farming technologies to address food security challenges and promote sustainable agricultural practices. This has led to the implementation of supportive policies, financial incentives, and regulations that encourage the adoption of smart crop scouting and smart spraying solutions. These initiatives create a favorable market environment and provide farmers with the necessary resources and support to embrace these technologies.

• Increasing Farm Consolidation and Labor Shortages: The consolidation of farms and the aging farming population have resulted in labor shortages in many regions. This has fuelled the demand for smart crop scouting and smart spraying technologies that can help optimize labor efficiency and reduce reliance on manual labor. By automating and streamlining various tasks, these technologies enable farmers to overcome labor challenges, improve operational efficiency, and maximize productivity.

Impact of COVID-19

The COVID-19 pandemic has had a mixed impact on the global smart crop scouting and smart spraying market, with disruptions in supply chains and labor availability. However, it has also accelerated the adoption of digital technologies in agriculture, driving the demand for smart solutions for remote monitoring and precision farming practices.

Market Segmentation:

Segmentation 1: by Application

• Scouting
• Spraying

Crop Scouting Projected to Dominate the Market over the Forecast Period

The global smart crop scouting and smart spraying market was dominated by scouting, holding a significant 70% market share in 2022 and is projected to experience the highest growth rate. Smart crop scouting enables farmers to monitor crop health, detect diseases, and optimize resource utilization through real-time data and advanced technologies. It offers benefits such as targeted interventions, reduced environmental impact, and enhanced efficiency in farming operations. The integration of AI and ML further enhances its capabilities. With increasing adoption and recognition of its value, smart crop scouting is set to drive the future of agricultural practices globally.

The growing demand for smart crop scouting is driving the concurrent increase in demand for smart spraying solutions. Smart crop scouting provides farmers with valuable data and insights about their crops, including pest infestations, weed growth, and nutrient deficiencies. With this information in hand, farmers need efficient and targeted methods to address these issues and ensure optimal crop health.

Smart spraying technologies offer precise and targeted approaches to pest and disease management, nutrient application, and weed control. By leveraging advanced technologies such as drones, sensors, and artificial intelligence, smart spraying enables farmers to apply crop protection measures with accuracy and efficiency. This not only ensures effective control of pests and weeds but also minimizes the use of chemicals, reducing environmental impact and promoting sustainable farming practices.

The integration of data from smart crop scouting with smart spraying solutions allows farmers to make data-driven decisions and take proactive measures to address crop health issues. For example, if scouting identifies a localized pest infestation, smart spraying systems can precisely target the affected area and apply the appropriate pesticides, minimizing chemical usage and reducing the risk of harm to beneficial organisms.

By combining the insights gained from smart crop scouting with the precision application capabilities of smart spraying, farmers can optimize their crop management practices. This leads to improved crop health, higher yields, reduced input costs, and minimized environmental impact. Therefore, the increasing demand for smart crop scouting directly drives the need for smart spraying, as both technologies work synergistically to provide farmers with a comprehensive and effective approach to crop management and protection.

Segmentation 2: by Scouting Product

• Equipment
• Software

Software Demand for Scouting will Grow with the Highest CAGR during the Forecast Period

Software plays a crucial role in smart crop scouting, enabling farmers to collect, analyze, and interpret field data for effective crop management. Software solutions for scouting are expected to grow at a CAGR of 19.86% over the next six years. These software tools leverage technologies like artificial intelligence and data analytics to provide real-time insights on crop health, pest and disease outbreaks, and nutrient deficiencies. They enable farmers to make timely and informed decisions, optimize resource allocation, and enhance overall productivity. The increasing adoption of smart farming practices and the need for precision agriculture are driving the demand for software in crop scouting, making it a key driver in the market.

Crop scouting equipment, including robots, drones, cameras, smartphones, and other handheld devices, is expected to witness significant growth in the coming years. As the agriculture industry embraces smart farming practices, the benefits offered by these advanced tools are growing. They enable farmers to gather precise and real-time data, enhance crop monitoring capabilities, and make informed decisions for pest management, nutrient optimization, and yield improvement. The increased adoption of equipment for crop scouting is driven by the need for improved efficiency, reduced labor requirements, and enhanced accuracy in data collection and analysis. Additionally, advancements in technology, such as the integration of artificial intelligence and machine learning, further enhance the capabilities of these tools, making them indispensable for modern agriculture. The expansion of the smart crop scouting market will continue to fuel the demand for advanced equipment, driving innovation and further improving the effectiveness of crop management practices.

Segmentation 3: Spraying by Product

• Tractor Mounted and Self-Propelled Sprayers
• Robotic Sprayers
• Drone Sprayers

Among the various products used for smart spraying in agriculture, including tractor mounted and self-propelled sprayers, robotic sprayers, and drone sprayers, it is anticipated that drone sprayers will dominate the market over the forecast period. The increasing adoption of drone technology in agriculture is driven by its ability to provide precise and targeted spraying, efficient coverage of large areas, and reduced reliance on manual labor. Drone sprayers offer advantages such as enhanced maneuverability, accessibility to difficult terrains, and the ability to collect real-time data for improved decision-making. They enable farmers to optimize pesticide and nutrient application, reduce waste and environmental impact, and improve overall operational efficiency. Moreover, advancements in drone technology, such as improved flight stability, longer battery life, and integrated software solutions, further contribute to the growth of the market. As a result, drone sprayers are expected to witness significant demand and market dominance in the smart spraying segment, revolutionizing the way crops are protected and managed in modern agriculture.

Segmentation 4: by Region

• North America - U.S., Canada, and Mexico
• Europe - Germany, France, Italy, Spain, Netherlands, Belgium, Switzerland, and Rest-of-Europe
• China
• U.K.
• Asia-Pacific - Japan, India, South Korea, Australia and New Zealand, and Rest-of-Asia-Pacific
• South America - Argentina, Brazil, and Rest-of-South America
• Middle East and Africa - Israel, South Africa, Turkey, and Rest-of-Middle East and Africa

North America is projected to lead the global smart crop scouting and smart spraying market over the forecast period from 2023 to 2028. North America, comprising the U.S., Canada, and Mexico, holds a significant share of the market due to the presence of advanced agricultural practices, adoption of smart farming technologies, and strong focus on improving crop productivity. The region benefits from robust infrastructure, technological advancements, and supportive government initiatives promoting sustainable agriculture. Additionally, factors such as the availability of advanced machinery, precision farming techniques, and presence of key market players contribute to the growth of the smart crop scouting and smart spraying market in North America. The region's emphasis on optimizing crop yield, reducing environmental impact, and increasing operational efficiency through data-driven farming practices further strengthens its position in the market. With a favorable regulatory environment and the increasing adoption of smart agricultural solutions, North America is expected to maintain its market leadership in the global smart crop scouting and smart spraying segment.

Recent Developments in the Global Smart Crop Scouting and Smart Spraying Market

• In April 2023, Bosch BASF Smart Farming and AGCO announced their collaboration to jointly develop and commercialize smart spraying capabilities. This partnership aims to integrate advanced technology into AGCO's Fendt Rogator sprayers and collaborate on the development of new features to enhance smart farming practices.

• In March 2023, Bosch BASF Smart Farming launched a smart spraying solution that will be integrated into Dammann's range of intelligent crop protection sprayers. It will be available initially in Germany and Hungary.

• In November 2022, Trimble Inc. partnered with xFarm Technologies. The partnership aimed at providing greater integration between their technologies and even smarter solutions for precision farming, such as smart spraying and smart crop scouting.

Demand - Drivers and Limitations

Market Demand Drivers: Global Smart Crop Scouting and Smart Spraying Market

Need for Higher Production at Limited Resources

With the increasing global population and limited availability of arable land, there is a growing need to maximize agricultural productivity. Smart crop scouting and smart spraying technologies enable farmers to optimize crop yield by providing real-time data on crop health, nutrient levels, and pest infestations. This allows for targeted and efficient use of resources, resulting in higher production.

Labor Shortage

The migration of the population toward urban areas has resulted in a shortage of labor for agricultural activities. Smart crop scouting and smart spraying technologies help mitigate this challenge by automating tasks such as crop monitoring, weed detection, and pest management. By reducing the dependence on manual labor, these technologies enable farmers to overcome labor shortages and improve operational efficiency.

Increased Focus on Sustainable Agriculture

There is a growing global focus on sustainable agricultural practices to minimize environmental impact and conserve resources. Smart crop scouting and smart spraying technologies support sustainable agriculture by enabling precise and targeted application of fertilizers, pesticides, and herbicides. This reduces chemical usage, minimizes environmental pollution, and promotes eco-friendly farming practices.

Growing Demand for Organic and Non-GMO Crops

The consumer demand for organic and non-genetically modified organism (GMO) crops is on the rise. Smart crop scouting and smart spraying technologies play a crucial role in ensuring the quality and integrity of organic and non-GMO crops by enabling early detection of pests, diseases, and weed infestations. This facilitates timely intervention and supports the production of high-quality, pesticide-free crops to meet market demand.

Market Challenges: Global Smart Crop Scouting and Smart Spraying Market:

• High Initial Investment
• Data Security-Related Concerns
• Compatibility with Existing Equipment
• Limited Availability of Skilled Labor

Market Opportunities:

• Integral Offerings with Horizontal Integration in Farming
• Climate Smart Agriculture

How Can This Report Add Value to an Organization?

• Market Insight: The report on the global smart crop scouting and smart spraying market offers valuable insights into the industry landscape, market trends, and growth drivers. It provides a comprehensive understanding of the various smart spraying products, including tractor mounted and self-propelled sprayers, robotic sprayers, and drone sprayers. Additionally, it covers the scouting equipment used in the industry, such as drones, robots, and others. Moreover, the report discusses smart spraying applications, such as nutrient application and crop protection chemicals. This information allows organizations to gain a deeper understanding of market dynamics and identify potential opportunities for their products and applications.

• Product/Innovation Strategy: By highlighting the different smart spraying products and scouting equipment, the report enables organizations to assess the market demand and adoption of these technologies. It provides insights into the advancements and innovations in the industry, helping organizations align their product development strategies to meet market requirements. Furthermore, the report explores the diverse smart spraying applications, assisting organizations in identifying areas for product diversification and expansion.

• Competitive Strategy: The report profiles major players in the smart crop scouting and smart spraying market, including manufacturers of spraying equipment and scouting technology providers. It assesses their competitive landscape, product portfolios, and strategies. Organizations can gain insights into their competitors' strengths and weaknesses, identify potential partnerships or collaborations, and position themselves effectively in the market.

Key Market Players and Competition Synopsis

The companies that are profiled have been selected based on inputs gathered from primary experts and analyzing company coverage, product portfolio, and market penetration.

The global smart crop scouting and smart spraying market exhibits a fragmented landscape, with numerous competitors vying to meet the diverse needs of the industry. In the smart crop scouting segment, the top six companies collectively hold a market share of around 30%, indicating a relatively dispersed market. Among them, John Deere stands out as the leader, showcasing its strong presence and market position.

On the other hand, the smart spraying market is characterized by fewer players, resulting in a more consolidated landscape. While the top 4 companies capture approximately 23% of the market share, led by DJI, the remaining market share of over 77% is distributed among a handful of other players. These players include prominent names such as XAG, EFT, Small Robot Company, FMC, Kubota, TeeJet, Topcon, and Trimble.

This fragmented landscape signifies the existence of multiple competitors who offer a range of solutions tailored to the specific requirements of the agricultural industry. Each company strives to differentiate itself through innovative technologies, customer-centric approaches, and strategic partnerships. This competitive environment fosters ongoing advancements and improvements in smart crop scouting and smart spraying solutions.

The diverse range of competitors in the market reflects the varied needs of farmers and agricultural stakeholders. The presence of numerous players encourages healthy competition, stimulates innovation, and provides farmers with a wider choice of solutions to optimize their crop scouting and spraying operations. As the industry continues to evolve, this fragmentation drives the continuous development and enhancement of technologies and services, ultimately benefiting the end users in their pursuit of improved productivity and sustainable agriculture practices.

Key Companies Profiled

Smart Crop Scouting

• Semios
• Bushel Inc
• Climate LLC
• BASF SE (xarvio)
• Cropin Technology Solutions Private Limited
• Corteva
• Syngenta
• Telus Agriculture & Consumer Goods
• Taranis

Smart Spraying

• AGCO Corporation
• Deere & Company
• WEED-IT
• Precision AI Inc
• HARDI
• Agrifac Machinery B.V.
• Ecorobotix SA
• BA Pumps & Sprayers

Smart Crop Scouting and Smart Spraying

• Trimble Inc
• Greeneye Technology
• Agridrones Solutions

Table of Contents

1 Market

• 1.1 Industry Outlook
  • 1.1.1 Market Definition
  • 1.1.2 Ongoing Trends
    • 1.1.2.1 Emerging Innovative Network Technology for Smart Crop Scouting
      • 1.1.2.1.1 Satellite
      • 1.1.2.1.2 LoRaWAN
      • 1.1.2.1.3 5G
    • 1.1.2.2 Emerging Imaging and Data Collection Technologies
      • 1.1.2.2.1 Hyperspectral Imaging
      • 1.1.2.2.2 Multispectral Imaging
      • 1.1.2.2.3 Thermal Imaging
      • 1.1.2.2.4 LiDAR
  • 1.1.3 Ecosystem/Ongoing Programs
    • 1.1.3.1 Consortiums and Associations
    • 1.1.3.2 Regulatory Bodies
    • 1.1.3.3 Government Initiatives and Impact
• 1.2 Business Dynamics
  • 1.2.1 Business Drivers
    • 1.2.1.1 Need for Higher Production at Limited Resources
      • 1.2.1.1.1 Labor Shortage
    • 1.2.1.2 Increased Focus on Sustainable Agriculture
      • 1.2.1.2.1 Growing Demand for Organic and Non-GMO Crops
  • 1.2.2 Business Challenges
    • 1.2.2.1 High Initial Investment
    • 1.2.2.2 Data Security Related Concerns
    • 1.2.2.3 Compatibility with Existing Equipment
    • 1.2.2.4 Limited Availability of Skilled Labor
  • 1.2.3 Market Strategies and Developments
    • 1.2.3.1 Business Strategies
      • 1.2.3.1.1 Product Development and Innovations
      • 1.2.3.1.2 Business Expansion
    • 1.2.3.2 Corporate Strategies
      • 1.2.3.2.1 Partnerships, Joint Ventures, Collaborations, and Alliances
      • 1.2.3.2.2 Mergers and Acquisitions
      • 1.2.3.2.3 Others
      • 1.2.3.2.4 Snapshot of Corporate Strategies Adopted by the Players in Smart Crop Scouting and Smart Spraying Market
    • 1.2.3.3 Case Studies
      • 1.2.3.3.1 See & Spray Ultimate Sprayer Case Study
      • 1.2.3.3.2 5G Connected Autonomous Robots by KPN and AGROiNTELLi
      • 1.2.3.3.3 DJI Drone-Based Roden Control Case Study
  • 1.2.4 Business Opportunities
    • 1.2.4.1 Integral Offerings with Horizontal Integration in Farming
    • 1.2.4.2 Climate-Smart Agriculture
• 1.3 Geopolitical and Socioeconomic Impacts
  • 1.3.1 Impact of COVID-19 on Global Smart Crop Scouting and Smart Spraying Market
  • 1.3.2 Impact of Russia-Ukraine on Global Smart Crop Scouting and Smart Spraying Market
• 1.4 Startup Landscape
  • 1.4.1 Key Startups in the Ecosystem
  • 1.4.2 Funding Analysis
    • 1.4.2.1 Total Investment and Number of Funding Deals
    • 1.4.2.2 Top Investors
    • 1.4.2.3 Top Funding Deals by the Startups and Investors
    • 1.4.2.4 Funding Analysis (by Country)

2 Application

• 2.1 Global Smart Crop Scouting Market (by Application)
  • 2.1.1 Weed Detection
  • 2.1.2 Disease and Damage Detection
  • 2.1.3 Pest Detection
  • 2.1.4 Nutrient Analysis
  • 2.1.5 Others
• 2.2 Demand Analysis of Global Smart Crop Scouting Market (by Application)
  • 2.2.1 Demand Analysis of Global Smart Crop Scouting Market (by Application)
• 2.3 Global Smart Spraying Market (by Application)
  • 2.3.1 Nutrient Application
  • 2.3.2 Crop Protection Chemical Application
  • 2.3.3 Herbicide Application
• 2.4 Demand Analysis of Global Smart Spraying Market (by Application)
  • 2.4.1 Demand Analysis of Global Smart Spraying Market (by Application)

3 Products

• 3.1 Global Smart Crop Scouting Market (by Product)
  • 3.1.1 Equipment Scouting
    • 3.1.1.1 Robots
    • 3.1.1.2 Drones
    • 3.1.1.3 Mobile Applications and Sensors
  • 3.1.2 Software Scouting
    • 3.1.2.1 Geographic Information System (GIS) Software
    • 3.1.2.2 Remote Sensing Software
    • 3.1.2.3 Crop Management Software
• 3.2 Demand Analysis of Global Smart Crop Scouting Market (by Product)
  • 3.2.1 Demand Analysis of Global Smart Crop Scouting Market (by Equipment Scouting)
• 3.3 Demand Analysis of Global Smart Crop Scouting Market (by Product)
  • 3.3.1 Demand Analysis of Global Smart Crop Scouting Market (by Software Scouting)
• 3.4 Global Smart Spraying Market (by Product)
  • 3.4.1 Tractor Mounted and Self-Propelled Sprayers
  • 3.4.2 Robotic Sprayers
  • 3.4.3 Drone Sprayers
• 3.5 Demand Analysis of Global Smart Spraying Market (by Product)
  • 3.5.1 Demand Analysis of Global Smart Spraying Market (by Product)
• 3.6 Supply Chain Analysis
• 3.7 Operational Analysis
• 3.8 Adoption Scenario
• 3.9 Patent Analysis
  • 3.9.1 Patent Analysis (by Application)
  • 3.9.2 Patent Analysis (by Organization)
  • 3.9.3 Patent Analysis (by Patent Office)

4 Region

• 4.1 North America
  • 4.1.1 Market
    • 4.1.1.1 Key Smart Crop Scouting and Smart Spraying Operators in North America
    • 4.1.1.2 Buyer Attributes
      • 4.1.1.2.1 Farm Size, Labor Availability, and State of Digitization in Agriculture
      • 4.1.1.2.2 Crop Pattern and Biotic and Abiotic Stress Factors
      • 4.1.1.2.3 Smart Crop Scouting Acreage (by Company)
    • 4.1.1.3 Business Challenges
    • 4.1.1.4 Business Drivers
  • 4.1.2 Application
    • 4.1.2.1 North America Smart Crop Scouting Market (by Application)
    • 4.1.2.2 North America Smart Spraying Market (by Application)
  • 4.1.3 Product
    • 4.1.3.1 North America Smart Crop Scouting Market (by Product)
    • 4.1.3.2 North America Smart Spraying Market (by Product)
  • 4.1.4 North America (by Country)
    • 4.1.4.1 U.S.
      • 4.1.4.1.1 Market
        • 4.1.4.1.1.1 Buyer Attributes
        • 4.1.4.1.1.1.1 Farm Size, Labor Availability, and State of Digitization in Agriculture
        • 4.1.4.1.1.1.2 Crop Pattern and Biotic and Abiotic Stress Factors
        • 4.1.4.1.1.2 Business Challenges
        • 4.1.4.1.1.3 Business Drivers
      • 4.1.4.1.2 Application
        • 4.1.4.1.2.1 U.S. Smart Crop Scouting Market (by Application)
        • 4.1.4.1.2.2 U.S. Smart Spraying Market (by Application)
      • 4.1.4.1.3 Product
        • 4.1.4.1.3.1 U.S. Smart Crop Scouting Market (by Product)
        • 4.1.4.1.3.2 U.S. Smart Spraying Market (by Product)
    • 4.1.4.2 Canada
      • 4.1.4.2.1 Market
        • 4.1.4.2.1.1 Buyer Attributes
        • 4.1.4.2.1.1.1 Farm Size, Labor Availability, and State of Digitization in Agriculture
        • 4.1.4.2.1.1.2 Crop Pattern and Biotic and Abiotic Stress Factors
        • 4.1.4.2.1.2 Business Challenges
        • 4.1.4.2.1.3 Business Drivers
      • 4.1.4.2.2 Application
        • 4.1.4.2.2.1 Canada Smart Crop Scouting Market (by Application)
        • 4.1.4.2.2.2 Canada Smart Spraying Market (by Application)
      • 4.1.4.2.3 Product
        • 4.1.4.2.3.1 Canada Smart Crop Scouting Market (by Product)
        • 4.1.4.2.3.2 Canada Smart Spraying Market (by Product)
    • 4.1.4.3 Mexico
      • 4.1.4.3.1 Market
        • 4.1.4.3.1.1 Buyer Attributes
        • 4.1.4.3.1.1.1 Farm Size, Labor Availability, and State of Digitization in Agriculture
        • 4.1.4.3.1.1.2 Crop Pattern and Biotic and Abiotic Stress Factors
        • 4.1.4.3.1.2 Business Challenges
        • 4.1.4.3.1.3 Business Drivers
      • 4.1.4.3.2 Application
        • 4.1.4.3.2.1 Mexico Smart Crop Scouting Market (by Application)
        • 4.1.4.3.2.2 Mexico Smart Spraying Market (by Application)
      • 4.1.4.3.3 Product
        • 4.1.4.3.3.1 Mexico Smart Crop Scouting Market (by Product)
        • 4.1.4.3.3.2 Mexico Smart Spraying Market (by Product)
• 4.2 South America
  • 4.2.1 Market
    • 4.2.1.1 Key Smart Crop Scouting and Smart Spraying Operators in South America
      • 4.2.1.1.1 Farm Size, Labor Availability, and State of Digitization in Agriculture
      • 4.2.1.1.2 Crop Pattern and Biotic and Abiotic Stress Factors
      • 4.2.1.1.3 Smart Crop Scouting Acreage (by Company)
    • 4.2.1.2 Business Challenges
    • 4.2.1.3 Business Drivers
  • 4.2.2 Application
    • 4.2.2.1 South America Smart Crop Scouting Market (by Application)
    • 4.2.2.2 South America Smart Spraying Market (by Application)
  • 4.2.3 Product
    • 4.2.3.1 South America Smart Crop Scouting Market (by Product)
    • 4.2.3.2 South America Smart Spraying Market (by Product)
  • 4.2.4 South America (by Country)
    • 4.2.4.1 Brazil
      • 4.2.4.1.1 Market
        • 4.2.4.1.1.1 Buyer Attributes
        • 4.2.4.1.1.1.1 Farm Size, Labor Availability, and State of Digitization in Agriculture
        • 4.2.4.1.1.1.2 Crop Pattern and Biotic and Abiotic Stress Factors
        • 4.2.4.1.1.2 Business Challenges
        • 4.2.4.1.1.3 Business Drivers
      • 4.2.4.1.2 Application
        • 4.2.4.1.2.1 Brazil Smart Crop Scouting Market (by Application)
        • 4.2.4.1.2.2 Brazil Smart Spraying Market (by Application)
      • 4.2.4.1.3 Product
        • 4.2.4.1.3.1 Brazil Smart Crop Scouting Market (by Product)
        • 4.2.4.1.3.2 Brazil Smart Spraying Market (by Product)
    • 4.2.4.2 Argentina
      • 4.2.4.2.1 Market
        • 4.2.4.2.1.1 Buyer Attributes
        • 4.2.4.2.1.1.1 Farm Size, Labor Availability, and State of Digitization in Agriculture
        • 4.2.4.2.1.1.2 Crop Pattern and Biotic and Abiotic Stress Factors
        • 4.2.4.2.1.2 Business Challenges
        • 4.2.4.2.1.3 Business Drivers
      • 4.2.4.2.2 Application
        • 4.2.4.2.2.1 Argentina Smart Crop Scouting Market (by Application)
        • 4.2.4.2.2.2 Argentina Smart Spraying Market (by Application)
      • 4.2.4.2.3 Product
        • 4.2.4.2.3.1 Argentina Smart Crop Scouting Market (by Product)
        • 4.2.4.2.3.2 Argentina Smart Spraying Market (by Product)
    • 4.2.4.3 Rest-of-South America
      • 4.2.4.3.1 Market
        • 4.2.4.3.1.1 Buyer Attributes
        • 4.2.4.3.1.1.1 Farm Size, Labor Availability, and State of Digitization in Agriculture
        • 4.2.4.3.1.1.2 Crop Pattern and Biotic and Abiotic Stress Factors
        • 4.2.4.3.1.2 Business Challenges
        • 4.2.4.3.1.3 Business Drivers
      • 4.2.4.3.2 Application
        • 4.2.4.3.2.1 Rest-of-South America Smart Crop Scouting Market (by Application)
        • 4.2.4.3.2.2 Rest-of-South America Smart Spraying Market (by Application)
      • 4.2.4.3.3 Product
        • 4.2.4.3.3.1 Rest-of-South America Smart Crop Scouting Market (by Product)
        • 4.2.4.3.3.2 Rest-of-South America Smart Spraying Market (by Product)
• 4.3 Europe
  • 4.3.1 Market
    • 4.3.1.1 Key Smart Crop Scouting and Smart Spraying Operators in Europe
    • 4.3.1.2 Buyer Attributes
      • 4.3.1.2.1 Farm Size, Labor Availability, and State of Digitization in Agriculture
      • 4.3.1.2.2 Crop Pattern and Biotic and Abiotic Stress Factors
      • 4.3.1.2.3 Smart Crop Scouting Acreage (by Company)
    • 4.3.1.3 Business Challenges
    • 4.3.1.4 Business Drivers
  • 4.3.2 Application
    • 4.3.2.1 Europe Smart Crop Scouting Market (by Application)
    • 4.3.2.2 Europe Smart Spraying Market (by Application)
  • 4.3.3 Product
    • 4.3.3.1 Europe Smart Crop Scouting Market (by Product)
    • 4.3.3.2 Europe Smart Spraying Market (by Product)
  • 4.3.4 Europe (by Country)
    • 4.3.4.1 Germany
      • 4.3.4.1.1 Market
        • 4.3.4.1.1.1 Buyer Attributes
        • 4.3.4.1.1.1.1 Farm Size, Labor Availability, and State of Digitization in Agriculture
        • 4.3.4.1.1.1.2 Crop Pattern and Biotic and Abiotic Stress Factors
        • 4.3.4.1.1.2 Business Challenges
        • 4.3.4.1.1.3 Business Drivers
      • 4.3.4.1.2 Application
        • 4.3.4.1.2.1 Germany Smart Crop Scouting Market (by Application)
        • 4.3.4.1.2.2 Germany Smart Spraying Market (by Application)
      • 4.3.4.1.3 Product
        • 4.3.4.1.3.1 Germany Smart Crop Scouting Market (by Product)
        • 4.3.4.1.3.2 Germany Smart Spraying Market (by Product)
    • 4.3.4.2 France
      • 4.3.4.2.1 Market
        • 4.3.4.2.1.1 Buyer Attributes
        • 4.3.4.2.1.1.1 Farm Size, Labor Availability, and State of Digitization in Agriculture
        • 4.3.4.2.1.1.2 Crop Pattern and Biotic and Abiotic Stress Factors
        • 4.3.4.2.1.2 Business Challenges
        • 4.3.4.2.1.3 Business Drivers
      • 4.3.4.2.2 Application
        • 4.3.4.2.2.1 France Smart Crop Scouting Market (by Application)
        • 4.3.4.2.2.2 France Smart Spraying Market (by Application)
      • 4.3.4.2.3 Product
        • 4.3.4.2.3.1 France Smart Crop Scouting Market (by Product)
        • 4.3.4.2.3.2 France Smart Spraying Market (by Product)
    • 4.3.4.3 Italy
      • 4.3.4.3.1 Market
        • 4.3.4.3.1.1 Buyer Attributes
        • 4.3.4.3.1.1.1 Farm Size, Labor Availability, and State of Digitization in Agriculture
        • 4.3.4.3.1.1.2 Crop Pattern and Biotic and Abiotic Stress Factors
        • 4.3.4.3.1.2 Business Challenges
        • 4.3.4.3.1.3 Business Drivers
      • 4.3.4.3.2 Application
        • 4.3.4.3.2.1 Italy Smart Crop Scouting Market (by Application)
        • 4.3.4.3.2.2 Italy Smart Spraying Market (by Application)
      • 4.3.4.3.3 Product
        • 4.3.4.3.3.1 Italy Smart Crop Scouting Market (by Product)
        • 4.3.4.3.3.2 Italy Smart Spraying Market (by Product)
    • 4.3.4.4 Netherlands
      • 4.3.4.4.1 Market
        • 4.3.4.4.1.1 Buyer Attributes
        • 4.3.4.4.1.1.1 Farm Size, Labor Availability, and State of Digitization in Agriculture
        • 4.3.4.4.1.1.2 Crop Pattern and Biotic and Abiotic Stress Factors
        • 4.3.4.4.1.2 Business Challenges
        • 4.3.4.4.1.3 Business Drivers
      • 4.3.4.4.2 Application
        • 4.3.4.4.2.1 Netherlands Smart Crop Scouting Market (by Application)
        • 4.3.4.4.2.2 Netherlands Smart Spraying Market (by Application)
      • 4.3.4.4.3 Product
        • 4.3.4.4.3.1 Netherlands Smart Crop Scouting Market (by Product)
        • 4.3.4.4.3.2 Netherlands Smart Spraying Market (by Product)
    • 4.3.4.5 Spain
      • 4.3.4.5.1 Market
        • 4.3.4.5.1.1 Buyer Attributes
        • 4.3.4.5.1.1.1 Farm Size, Labor Availability, and State of Digitization in Agriculture
        • 4.3.4.5.1.1.2 Crop Pattern and Biotic and Abiotic Stress Factors
        • 4.3.4.5.1.2 Business Challenges
        • 4.3.4.5.1.3 Business Drivers
      • 4.3.4.5.2 Application
        • 4.3.4.5.2.1 Spain Smart Crop Scouting Market (by Application)
        • 4.3.4.5.2.2 Spain Smart Spraying Market (by Application)
      • 4.3.4.5.3 Product
        • 4.3.4.5.3.1 Spain Smart Crop Scouting Market (by Product)
        • 4.3.4.5.3.2 Spain Smart Spraying Market (by Product)
    • 4.3.4.6 Belgium
      • 4.3.4.6.1 Market
        • 4.3.4.6.1.1 Buyer Attributes
        • 4.3.4.6.1.1.1 Farm Size, Labor Availability, and State of Digitization in Agriculture
        • 4.3.4.6.1.1.2 Crop Pattern and Biotic and Abiotic Stress Factors
        • 4.3.4.6.1.2 Business Challenges
        • 4.3.4.6.1.3 Business Drivers
      • 4.3.4.6.2 Application
        • 4.3.4.6.2.1 Belgium Smart Crop Scouting Market (by Application)
        • 4.3.4.6.2.2 Belgium Smart Spraying Market (by Application)
      • 4.3.4.6.3 Product
        • 4.3.4.6.3.1 Belgium Smart Crop Scouting Market (by Product)
        • 4.3.4.6.3.2 Belgium Smart Spraying Market (by Product)
    • 4.3.4.7 Switzerland
      • 4.3.4.7.1 Market
        • 4.3.4.7.1.1 Buyer Attributes
        • 4.3.4.7.1.1.1 Farm Size, Labor Availability, and State of Digitization in Agriculture
        • 4.3.4.7.1.1.2 Crop Pattern and Biotic and Abiotic Stress Factors
        • 4.3.4.7.1.2 Business Challenges
        • 4.3.4.7.1.3 Business Drivers
      • 4.3.4.7.2 Application
        • 4.3.4.7.2.1 Switzerland Smart Crop Scouting Market (by Application)
        • 4.3.4.7.2.2 Switzerland Smart Spraying Market (by Application)
      • 4.3.4.7.3 Product
        • 4.3.4.7.3.1 Switzerland Smart Crop Scouting Market (by Product)
        • 4.3.4.7.3.2 Switzerland Smart Spraying Market (by Product)
    • 4.3.4.8 Rest-of-Europe
      • 4.3.4.8.1 Market
        • 4.3.4.8.1.1 Buyer Attributes
        • 4.3.4.8.1.1.1 Farm Size, Labor Availability, and State of Digitization in Agriculture
        • 4.3.4.8.1.1.2 Crop Pattern and Biotic and Abiotic Stress Factors
        • 4.3.4.8.1.2 Business Challenges
        • 4.3.4.8.1.3 Business Drivers
      • 4.3.4.8.2 Application
        • 4.3.4.8.2.1 Rest-of-Europe Smart Crop Scouting Market (by Application)
        • 4.3.4.8.2.2 Rest-of-Europe Smart Spraying Market (by Application)
      • 4.3.4.8.3 Product
        • 4.3.4.8.3.1 Rest-of-Europe Smart Crop Scouting Market (by Product)
        • 4.3.4.8.3.2 Rest-of-Europe Smart Spraying Market (by Product)
• 4.4 U.K.
  • 4.4.1 Market
    • 4.4.1.1 Key Smart Crop Scouting and Smart Spraying Operators in the U.K.
    • 4.4.1.2 Business Challenges
      • 4.4.1.2.1 Farm Size, Labor Availability, and State of Digitization in Agriculture
      • 4.4.1.2.2 Crop Pattern and Biotic and Abiotic Stress Factors
      • 4.4.1.2.3 Smart Crop Scouting Acreage (by Company)
    • 4.4.1.3 Business Drivers
  • 4.4.2 Application
    • 4.4.2.1 U.K. Smart Crop Scouting Market (by Application)
    • 4.4.2.2 U.K. Smart Spraying Market (by Application)
  • 4.4.3 Product
    • 4.4.3.1 U.K. Smart Crop Scouting Market (by Product)
    • 4.4.3.2 U.K. Smart Spraying Market (by Product)
• 4.5 Middle East and Africa
  • 4.5.1 Market
    • 4.5.1.1 Key Smart Crop Scouting and Smart Spraying Operators in the Middle East and Africa
    • 4.5.1.2 Buyer Attributes
      • 4.5.1.2.1 Farm Size, Labor Availability, and State of Digitization in Agriculture
      • 4.5.1.2.2 Crop Pattern and Biotic and Abiotic Stress Factors
      • 4.5.1.2.3 Smart Crop Scouting Acreage (by Company)
    • 4.5.1.3 Business Challenges
    • 4.5.1.4 Business Drivers
  • 4.5.2 Application
    • 4.5.2.1 Middle East and Africa Smart Crop Scouting Market (by Application)
    • 4.5.2.2 Middle East and Africa Smart Spraying Market (by Application)
  • 4.5.3 Product
    • 4.5.3.1 Middle East and Africa Smart Crop Scouting Market (by Product)
    • 4.5.3.2 Middle East and Africa Smart Spraying Market (by Product)
  • 4.5.4 Middle East and Africa (by Country)
    • 4.5.4.1 South Africa
      • 4.5.4.1.1 Market
        • 4.5.4.1.1.1 Buyer Attributes
        • 4.5.4.1.1.1.1 Farm Size, Labor Availability, and State of Digitization in Agriculture
        • 4.5.4.1.1.1.2 Crop Pattern and Biotic and Abiotic Stress Factors
        • 4.5.4.1.1.2 Business Challenges
        • 4.5.4.1.1.3 Business Drivers
      • 4.5.4.1.2 Application
        • 4.5.4.1.2.1 South Africa Smart Crop Scouting Market (by Application)
        • 4.5.4.1.2.2 South Africa Smart Spraying Market (by Application)
      • 4.5.4.1.3 Product
        • 4.5.4.1.3.1 South Africa Smart Crop Scouting Market (by Product)
        • 4.5.4.1.3.2 South Africa Smart Spraying Market (by Product)
    • 4.5.4.2 Israel
      • 4.5.4.2.1 Market
        • 4.5.4.2.1.1 Buyer Attributes
        • 4.5.4.2.1.1.1 Farm Size, Labor Availability, and State of Digitization in Agriculture
        • 4.5.4.2.1.1.2 Crop Pattern and Biotic and Abiotic Stress Factors
        • 4.5.4.2.1.2 Business Challenges
        • 4.5.4.2.1.3 Business Drivers
      • 4.5.4.2.2 Application
        • 4.5.4.2.2.1 Israel Smart Crop Scouting Market (by Application)
        • 4.5.4.2.2.2 Israel Smart Spraying Market (by Application)
      • 4.5.4.2.3 Product
        • 4.5.4.2.3.1 Israel Smart Crop Scouting Market (by Product)
        • 4.5.4.2.3.2 Israel Smart Spraying Market (by Product)
    • 4.5.4.3 Turkey
      • 4.5.4.3.1 Market
        • 4.5.4.3.1.1 Buyer Attributes
        • 4.5.4.3.1.1.1 Farm Size, Labor Availability, and State of Digitization in Agriculture
        • 4.5.4.3.1.1.2 Crop Pattern and Biotic and Abiotic Stress Factors
        • 4.5.4.3.1.2 Business Challenges
        • 4.5.4.3.1.3 Business Drivers
      • 4.5.4.3.2 Application
        • 4.5.4.3.2.1 Turkey Smart Crop Scouting Market (by Application)
        • 4.5.4.3.2.2 Turkey Smart Spraying Market (by Application)
      • 4.5.4.3.3 Product
        • 4.5.4.3.3.1 Turkey Smart Crop Scouting Market (by Product)
        • 4.5.4.3.3.2 Turkey Smart Spraying Market (by Product)
    • 4.5.4.4 Rest-of-Middle East and Africa
      • 4.5.4.4.1 Market
        • 4.5.4.4.1.1 Buyer Attributes
        • 4.5.4.4.1.1.1 Farm Size, Labor Availability, and State of Digitization in Agriculture
        • 4.5.4.4.1.1.2 Crop Pattern and Biotic and Abiotic Stress Factors
        • 4.5.4.4.1.2 Business Challenges
        • 4.5.4.4.1.3 Business Drivers
      • 4.5.4.4.2 Application
        • 4.5.4.4.2.1 Rest-of-MEA Smart Crop Scouting Market (by Application)
        • 4.5.4.4.2.2 Rest-of-MEA Smart Spraying Market (by Application)
      • 4.5.4.4.3 Product
        • 4.5.4.4.3.1 Rest-of-MEA Smart Crop Scouting Market (by Product)
        • 4.5.4.4.3.2 Rest-of-MEA Smart Spraying Market (by Product)
• 4.6 China
  • 4.6.1 Market
    • 4.6.1.1 Key Smart Crop Scouting and Smart Spraying Operators in China
    • 4.6.1.2 Buyer Attributes
      • 4.6.1.2.1 Farm Size, Labor Availability, and State of Digitization in Agriculture
      • 4.6.1.2.2 Crop Pattern and Biotic and Abiotic Stress Factors
      • 4.6.1.2.3 Smart Crop Scouting Acreage (by Company)
    • 4.6.1.3 Business Challenges
    • 4.6.1.4 Business Drivers
  • 4.6.2 Application
    • 4.6.2.1 China Smart Crop Scouting Market (by Application)
    • 4.6.2.2 China Smart Spraying Market (by Application)
  • 4.6.3 Product
    • 4.6.3.1 China Smart Crop Scouting Market (by Product)
    • 4.6.3.2 China Smart Spraying Market (by Product)
• 4.7 Asia-Pacific
  • 4.7.1 Market
    • 4.7.1.1 Key Smart Crop Scouting and Smart Spraying Operators in the Asia-Pacific
    • 4.7.1.2 Buyer Attributes
      • 4.7.1.2.1 Farm Size, Labor Availability, and State of Digitization in Agriculture
      • 4.7.1.2.2 Crop Pattern and Biotic and Abiotic Stress Factors
      • 4.7.1.2.3 Smart Crop Scouting Acreage (by Company)
    • 4.7.1.3 Business Challenges
    • 4.7.1.4 Business Drivers
  • 4.7.2 Application
    • 4.7.2.1 Asia-Pacific Smart Crop Scouting Market (by Application)
    • 4.7.2.2 Asia-Pacific Smart Spraying Market (by Application)
  • 4.7.3 Product
    • 4.7.3.1 Asia-Pacific Smart Crop Scouting Market (by Product)
    • 4.7.3.2 Asia-Pacific Smart Spraying Market (by Product)
  • 4.7.4 Asia-Pacific (by Country)
    • 4.7.4.1 Japan
      • 4.7.4.1.1 Market
        • 4.7.4.1.1.1 Buyer Attributes
        • 4.7.4.1.1.1.1 Farm Size, Labor Availability, and State of Digitization in Agriculture
        • 4.7.4.1.1.1.2 Crop Pattern and Biotic and Abiotic Stress Factors
        • 4.7.4.1.1.2 Business Challenges
        • 4.7.4.1.1.3 Business Drivers
      • 4.7.4.1.2 Application
        • 4.7.4.1.2.1 Japan Smart Crop Scouting Market (by Application)
        • 4.7.4.1.2.2 Japan Smart Spraying Market (by Application)
      • 4.7.4.1.3 Product
        • 4.7.4.1.3.1 Japan Smart Crop Scouting Market (by Product)
        • 4.7.4.1.3.2 Japan Smart Spraying Market (by Product)
    • 4.7.4.2 India
      • 4.7.4.2.1 Market
        • 4.7.4.2.1.1 Buyer Attributes
        • 4.7.4.2.1.1.1 Farm Size, Labor Availability, and State of Digitization in Agriculture
        • 4.7.4.2.1.1.2 Crop Pattern and Biotic and Abiotic Stress Factors
        • 4.7.4.2.1.2 Business Challenges
        • 4.7.4.2.1.3 Business Drivers
      • 4.7.4.2.2 Application
        • 4.7.4.2.2.1 India Smart Crop Scouting Market (by Application)
        • 4.7.4.2.2.2 India Smart Spraying Market (by Application)
      • 4.7.4.2.3 Product
        • 4.7.4.2.3.1 India Smart Crop Scouting Market (by Product)
        • 4.7.4.2.3.2 India Smart Spraying Market (by Product)
    • 4.7.4.3 South Korea
      • 4.7.4.3.1 Market
        • 4.7.4.3.1.1 Buyer Attributes
        • 4.7.4.3.1.1.1 Farm Size, Labor Availability, and State of Digitization in Agriculture
        • 4.7.4.3.1.1.2 Crop Pattern and Biotic and Abiotic Stress Factors
        • 4.7.4.3.1.2 Business Challenges
        • 4.7.4.3.1.3 Business Drivers
      • 4.7.4.3.2 Application
        • 4.7.4.3.2.1 South Korea Smart Crop Scouting Market (by Application)
        • 4.7.4.3.2.2 South Korea Smart Spraying Market (by Application)
      • 4.7.4.3.3 Product
        • 4.7.4.3.3.1 South Korea Smart Crop Scouting Market (by Product)
        • 4.7.4.3.3.2 South Korea Smart Spraying Market (by Product)
    • 4.7.4.4 Australia and New Zealand
      • 4.7.4.4.1 Market
        • 4.7.4.4.1.1 Buyer Attributes
        • 4.7.4.4.1.1.1 Farm Size, Labor Availability, and State of Digitization in Agriculture
        • 4.7.4.4.1.1.2 Crop Pattern and Biotic and Abiotic Stress Factors
        • 4.7.4.4.1.2 Business Challenges
        • 4.7.4.4.1.3 Business Drivers
      • 4.7.4.4.2 Application
        • 4.7.4.4.2.1 Australia and New Zealand Smart Crop Scouting Market (by Application)
        • 4.7.4.4.2.2 Australia and New Zealand Smart Spraying Market (by Application)
      • 4.7.4.4.3 Product
        • 4.7.4.4.3.1 Australia and New Zealand Smart Crop Scouting Market (by Product)
        • 4.7.4.4.3.2 Australia and New Zealand Smart Spraying Market (by Product)
    • 4.7.4.5 Rest-of-Asia-Pacific
      • 4.7.4.5.1 Market
        • 4.7.4.5.1.1 Buyer Attributes
        • 4.7.4.5.1.1.1 Farm Size, Labor Availability, and State of Digitization in Agriculture
        • 4.7.4.5.1.1.2 Crop Pattern and Biotic and Abiotic Stress Factors
        • 4.7.4.5.1.2 Business Challenges
        • 4.7.4.5.1.3 Business Drivers
      • 4.7.4.5.2 Application
        • 4.7.4.5.2.1 Rest-of-APAC Smart Crop Scouting Market (by Application)
        • 4.7.4.5.2.2 Rest-of-APAC Smart Spraying Market (by Application)
      • 4.7.4.5.3 Product
        • 4.7.4.5.3.1 Rest-of-APAC Smart Crop Scouting Market (by Product)
        • 4.7.4.5.3.2 Rest-of-APAC Smart Spraying Market (by Product)

5 Market - Competitive Benchmarking and Company Profiles

• 5.1 Competitive Benchmarking
  • 5.1.1 Competitive Position Matrix
    • 5.1.1.1 Smart Crop Scouting
    • 5.1.1.2 Smart Spraying Market
  • 5.1.2 Market Share Analysis
    • 5.1.2.1 Smart Crop Scouting Market
    • 5.1.2.2 Smart Spraying Market
• 5.2 Competitive Analysis
• 5.3 Company Profiles
  • 5.3.1 Smart Crop Scouting
    • 5.3.1.1 Semios
      • 5.3.1.1.1 Company Overview
      • 5.3.1.1.2 Role of Semios in Global Smart Crop Scouting and Smart Spraying Market
      • 5.3.1.1.3 Product Portfolio
      • 5.3.1.1.4 Customer Profile
        • 5.3.1.1.4.1 Target Customers
        • 5.3.1.1.4.2 Key Clients or Partners
      • 5.3.1.1.5 Corporate Strategies
        • 5.3.1.1.5.1 Mergers and Acquisitions
      • 5.3.1.1.6 Analyst View
    • 5.3.1.2 Bushel Inc
      • 5.3.1.2.1 Company Overview
      • 5.3.1.2.2 Role of Bushel Inc in Global Smart Crop Scouting and Smart Spraying Market
      • 5.3.1.2.3 Product Portfolio
      • 5.3.1.2.4 Customer Profile
        • 5.3.1.2.4.1 Target Customers
        • 5.3.1.2.4.2 Key Clients
      • 5.3.1.2.5 Business Strategies
        • 5.3.1.2.5.1 Product Developments
      • 5.3.1.2.6 Analyst View
    • 5.3.1.3 Climate LLC (Bayer Ag)
      • 5.3.1.3.1 Company Overview
      • 5.3.1.3.2 Role of Climate LLC in Global Smart Crop Scouting and Smart Spraying Market
      • 5.3.1.3.3 Product Portfolio
      • 5.3.1.3.4 Customer Profile
        • 5.3.1.3.4.1 Target Customers
        • 5.3.1.3.4.2 Key Clients
      • 5.3.1.3.5 Corporate Strategies
        • 5.3.1.3.5.1 Partnerships, Joint Ventures, Collaborations, and Alliances
      • 5.3.1.3.6 Analyst View
    • 5.3.1.4 BASF SE (xarvio)
      • 5.3.1.4.1 Company Overview
      • 5.3.1.4.2 Role of BASF SE (xarvio) in Global Smart Crop Scouting and Smart Spraying Market
      • 5.3.1.4.3 Product Portfolio
      • 5.3.1.4.4 Customer Profile
        • 5.3.1.4.4.1 Target Customers
        • 5.3.1.4.4.2 Key Clients
      • 5.3.1.4.5 Business Strategies
        • 5.3.1.4.5.1 Product Developments
      • 5.3.1.4.6 Corporate Strategies
        • 5.3.1.4.6.1 Partnerships, Joint Ventures, Collaborations, and Alliances
      • 5.3.1.4.7 Analyst View
    • 5.3.1.5 Cropin Technology Solutions Private Limited
      • 5.3.1.5.1 Company Overview
      • 5.3.1.5.2 Role of Cropin Technology Solutions Private Limited in Global Smart Crop Scouting and Smart Spraying Market
      • 5.3.1.5.3 Product Portfolio
      • 5.3.1.5.4 Customer Profile
        • 5.3.1.5.4.1 Target Customers
        • 5.3.1.5.4.2 Key Clients
      • 5.3.1.5.5 Business Strategies
        • 5.3.1.5.5.1 Product Developments
      • 5.3.1.5.6 Corporate Strategies
        • 5.3.1.5.6.1 Partnerships, Joint Ventures, Collaborations, and Alliances
      • 5.3.1.5.7 Analyst View
    • 5.3.1.6 Corteva
      • 5.3.1.6.1 Company Overview
      • 5.3.1.6.2 Role of Corteva in Global Smart Crop Scouting and Smart Spraying Market
      • 5.3.1.6.3 Product Portfolio
      • 5.3.1.6.4 Customer Profile
        • 5.3.1.6.4.1 Target Customers
      • 5.3.1.6.5 Analyst View
    • 5.3.1.7 Syngenta
      • 5.3.1.7.1 Company Overview
      • 5.3.1.7.2 Role of Syngenta in Global Smart Crop Scouting and Smart Spraying Market
      • 5.3.1.7.3 Product Portfolio
      • 5.3.1.7.4 Customer Profile
        • 5.3.1.7.4.1 Target Customers
      • 5.3.1.7.5 Business Strategies
        • 5.3.1.7.5.1 Market Developments
        • 5.3.1.7.5.2 Product Developments
      • 5.3.1.7.6 Analyst View
    • 5.3.1.8 Telus Agriculture & Consumer Goods
      • 5.3.1.8.1 Company Overview
      • 5.3.1.8.2 Role of Telus Agriculture & Consumer Goods in Global Smart Crop Scouting and Smart Spraying Market
      • 5.3.1.8.3 Product Portfolio
      • 5.3.1.8.4 Customer Profile
        • 5.3.1.8.4.1 Target Customers
        • 5.3.1.8.4.2 Key Clients
      • 5.3.1.8.5 Corporate Strategies
        • 5.3.1.8.5.1 Mergers and Acquisitions
      • 5.3.1.8.6 Analyst View
    • 5.3.1.9 Taranis
      • 5.3.1.9.1 Company Overview
      • 5.3.1.9.2 Role of Taranis in Global Smart Crop Scouting and Smart Spraying Market
      • 5.3.1.9.3 Product Portfolio
      • 5.3.1.9.4 Customer Profile
        • 5.3.1.9.4.1 Target Customers
        • 5.3.1.9.4.2 Key Clients
      • 5.3.1.9.5 Business Strategies
        • 5.3.1.9.5.1 Market Development
      • 5.3.1.9.6 Corporate Strategies
        • 5.3.1.9.6.1 Partnerships, Joint Ventures, Collaborations, and Alliances
      • 5.3.1.9.7 Analyst View
  • 5.3.2 Smart Spraying
    • 5.3.2.1 AGCO Corporation
      • 5.3.2.1.1 Company Overview
      • 5.3.2.1.2 Role of AGCO Corporation in Global Smart Crop Scouting and Smart Spraying Market
      • 5.3.2.1.3 Product Portfolio
      • 5.3.2.1.4 Customer Profile
        • 5.3.2.1.4.1 Target Customers
        • 5.3.2.1.4.2 Key Clients
      • 5.3.2.1.5 Business Strategies
        • 5.3.2.1.5.1 Market Developments
      • 5.3.2.1.6 Corporate Strategies
        • 5.3.2.1.6.1 Partnerships, Joint Ventures, Collaborations, and Alliances
      • 5.3.2.1.7 Analyst View
    • 5.3.2.2 Deere & Company
      • 5.3.2.2.1 Company Overview
      • 5.3.2.2.2 Role of Deere & Company in the Global Smart Crop Scouting and Smart Spraying Market
      • 5.3.2.2.3 Product Portfolio
      • 5.3.2.2.4 Customer Profile
        • 5.3.2.2.4.1 Target Customers
        • 5.3.2.2.4.2 Key Clients or Partners
      • 5.3.2.2.5 Business Strategies
        • 5.3.2.2.5.1 Market Developments
        • 5.3.2.2.5.2 Product Developments
      • 5.3.2.2.6 Corporate Strategies
        • 5.3.2.2.6.1 Partnerships, Joint Ventures, Collaborations, and Alliances
        • 5.3.2.2.6.2 Mergers and Acquisitions
      • 5.3.2.2.7 Analyst View
    • 5.3.2.3 WEED-IT
      • 5.3.2.3.1 Company Overview
      • 5.3.2.3.2 Role of WEED-IT in Global Smart Crop Scouting and Smart Spraying Market
      • 5.3.2.3.3 Product Portfolio
      • 5.3.2.3.4 Customer Profile
        • 5.3.2.3.4.1 Target Customers
        • 5.3.2.3.4.2 Key Clients
      • 5.3.2.3.5 Business Strategies
        • 5.3.2.3.5.1 Product Developments
      • 5.3.2.3.6 Analyst View
    • 5.3.2.4 Precision AI Inc
      • 5.3.2.4.1 Company Overview
      • 5.3.2.4.2 Role of Precision AI Inc in the Smart Crop Scouting and Smart Spraying Market
      • 5.3.2.4.3 Product Portfolio
        • 5.3.2.4.3.1 Target Customers
        • 5.3.2.4.3.2 Key Clients
      • 5.3.2.4.4 Corporate Strategies
        • 5.3.2.4.4.1 Partnerships, Joint Ventures, Collaborations, and Alliances
      • 5.3.2.4.5 Analyst View
    • 5.3.2.5 HARDI
      • 5.3.2.5.1 Company Overview
      • 5.3.2.5.2 Role of HARDI in Global Smart Crop Scouting and Smart Spraying Market
      • 5.3.2.5.3 Product Portfolio
      • 5.3.2.5.4 Customer Profile
        • 5.3.2.5.4.1 Target Customers
      • 5.3.2.5.5 Corporate Strategies
        • 5.3.2.5.5.1 Partnerships, Joint Ventures, Collaborations, and Alliances
      • 5.3.2.5.6 Analyst View
    • 5.3.2.6 Agrifac Machinery B.V.
      • 5.3.2.6.1 Company Overview
      • 5.3.2.6.2 Role of Agrifac Machinery B.V. in Global Smart Crop Scouting and Smart Spraying Market
      • 5.3.2.6.3 Product Portfolio
      • 5.3.2.6.4 Customer Profile
        • 5.3.2.6.4.1 Target Customers
        • 5.3.2.6.4.2 Key Clients
      • 5.3.2.6.5 Business Strategies
        • 5.3.2.6.5.1 Product Developments
      • 5.3.2.6.6 Corporate Strategies
        • 5.3.2.6.6.1 Partnerships, Joint Ventures, Collaborations, and Alliances
      • 5.3.2.6.7 Analyst View
    • 5.3.2.7 Ecorobotix SA
      • 5.3.2.7.1 Company Overview
      • 5.3.2.7.2 Role of Ecorobotix SA in Global Smart Crop Scouting and Smart Spraying Market
      • 5.3.2.7.3 Product Portfolio
      • 5.3.2.7.4 Customer Profile
        • 5.3.2.7.4.1 Target Customers
      • 5.3.2.7.5 Business Strategies
        • 5.3.2.7.5.1 Product Developments
      • 5.3.2.7.6 Analyst View
    • 5.3.2.8 BA Pumps & Sprayers
      • 5.3.2.8.1 Company Overview
      • 5.3.2.8.2 Role of BA Pumps & Sprayers in Global Smart Crop Scouting and Smart Spraying Market
      • 5.3.2.8.3 Product Portfolio
      • 5.3.2.8.4 Customer Profile
        • 5.3.2.8.4.1 Target Customers
      • 5.3.2.8.5 Analyst View
  • 5.3.3 Smart Crop Scouting and Smart Spraying
    • 5.3.3.1 Trimble Inc
      • 5.3.3.1.1 Company Overview
      • 5.3.3.1.2 Role of Trimble Inc in Global Smart Crop Scouting and Smart Spraying Market
      • 5.3.3.1.3 Product Portfolio
      • 5.3.3.1.4 Customer Profile
        • 5.3.3.1.4.1 Target Customers
        • 5.3.3.1.4.2 Key Clients
      • 5.3.3.1.5 Corporate Strategies
        • 5.3.3.1.5.1 Partnerships, Joint Ventures, Collaborations, and Alliances
        • 5.3.3.1.5.2 Mergers and Acquisitions
      • 5.3.3.1.6 Analyst View
    • 5.3.3.2 Greeneye Technology
      • 5.3.3.2.1 Company Overview
      • 5.3.3.2.2 Role of Greeneye Technology in Global Smart Crop Scouting and Smart Spraying Market
      • 5.3.3.2.3 Product Portfolio
      • 5.3.3.2.4 Customer Profile
        • 5.3.3.2.4.1 Target Customers
        • 5.3.3.2.4.2 Key Clients or Partners
      • 5.3.3.2.5 Business Strategies
        • 5.3.3.2.5.1 Product Developments
      • 5.3.3.2.6 Corporate Strategies
        • 5.3.3.2.6.1 Partnerships, Joint Ventures, Collaborations, and Alliances
      • 5.3.3.2.7 Analyst View
    • 5.3.3.3 Agridrones Solutions
      • 5.3.3.3.1 Company Overview
      • 5.3.3.3.2 Role of Agridrones Solutions in Global Smart Crop Scouting and Smart Spraying Market
      • 5.3.3.3.3 Product Portfolio
      • 5.3.3.3.4 Customer Profile
        • 5.3.3.3.4.1 Target Customers
      • 5.3.3.3.5 Analyst View

6 Research Methodology

• 6.1 Data Sources
  • 6.1.1 Primary Data Sources
  • 6.1.2 Secondary Data Sources
  • 6.1.3 Data Triangulation
• 6.2 Market Estimation and Forecast