Artificial Intelligence in Agriculture Market Production, Growth, Share, Demand and Analysis 2029

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Artificial Intelligence in Agriculture Market size was US$ 1.66 Bn in 2022 and is expected to reach US$ 6.49 Bn by 2029, at a CAGR of 21.5% during the forecast period.

Artificial Intelligence in Agriculture Market Scope:

The report includes qualitative and quantitative analysis of the Artificial Intelligence in Agriculture market with a detailed understanding of the nuances of the market. The bottom-up approach was used for sizing the Artificial Intelligence in Agriculture market size. The data required for the analysis was collected using primary and secondary data collection methods. Numerous methods, such as surveys and questionnaires, are used in the data collection process under primary method. Secondary sources includes articles, government publications, annual reports along with paid sources such as Bloomberg, Statista, D&B Hoovers for collecting data.  

Artificial Intelligence in Agriculture Market Regional Insights:

Individual market influencing variables and changes in market laws that affect present and future market trends are also included in the regional segment of the Artificial Intelligence in Agriculture market study. Consumption volumes, production sites and volumes, import-export analysis, price trend analysis, raw material pricing, and downstream and upstream value chain analysis are some of the primary factors utilized to anticipate market conditions for individual nations.

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Artificial Intelligence in Agriculture Market Segmentation:

by Technology

• Machine Learning
• Computer Vision
• Predictive Analytics

by Offering

• Hardware
• Software
• AI-as-a-Service
• Service

by Geography

• North America
• Asia Pacific
• Europe
• Latin America
• Middle East & Africa

by Application

• Precision Farming
• Crop Monitoring
• Drone Analytics
• Agriculture Robots
• Others

Artificial Intelligence in Agriculture Market Key Players:

• IBM
• John Deere
• Microsoft
• Agribotix
• The Climate Corporation
• ec2ce
• Descartes Labs
• Sky Squirrel Technologies
• Mavrx
• aWhere
• Gamaya
• Precision
• Granular
• Prospera technologies
• Cainthus
• Spensa Technologies
• Resson
• FarmBot
• Connecterra
• Vision Robotics
• Harvest Croo
• Autonomous Tractor Corporation
• Trace Genomics
• Vine Rangers
• CropX
• Intel
• SAP

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Key questions answered in the Artificial Intelligence in Agriculture Market are:

  • What is Artificial Intelligence in Agriculture?
  • What is the growth rate of the Artificial Intelligence in Agriculture Market?
  • What was the Artificial Intelligence in Agriculture Market size in 2023?
  • What are the upcoming opportunities and trends for the Artificial Intelligence in Agriculture Market?
  • What are the different segments of the Artificial Intelligence in Agriculture Market?
  • What are the recent industry trends that can be implemented to generate additional revenue streams for the Artificial Intelligence in Agriculture Market?
  • What segments are covered in the Artificial Intelligence in Agriculture Market?
  • Which are the factors expected to drive the Artificial Intelligence in Agriculture Market growth?
  • What growth strategies are the players considering to increase their presence in Artificial Intelligence in Agriculture?
  • Who are the leading companies and what are their portfolios in Artificial Intelligence in Agriculture Market? 

Key Offerings:

  • Past Market Size and Competitive Landscape.
  • Past Pricing and price curve by region.
  • Market Size, Share, Size & Forecast by different segment.
  • Market Dynamics – Growth Drivers, Restraints, Opportunities, and Key Trends by Region
  • Market Segmentation – A detailed analysis by segment with their sub-segments and Region
  • Competitive Landscape – Profiles of selected key players by region from a strategic perspective
    • Competitive landscape – Market Leaders, Market Followers, Regional player
    • Competitive benchmarking of key players by region
  • PESTLE Analysis
  • PORTER’s analysis
  • Value chain and supply chain analysis
  • Legal Aspects of Business by Region
  • Lucrative business opportunities with SWOT analysis
  • Recommendations

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