Global AI in Agriculture Market: Overview
Artificial Intelligence has various application in agriculture ranging from rural automatons, facial acknowledgment, computerized water system frameworks, and driverless tractors. These applications are done in relationship with an alternate sort of sensors, GPS frameworks, radars, and other cutting edge contraptions dependent on AI. Considering these broad applications, AI is getting a colossal reaction from investors all around. Man-made reasoning (AI) is one such critical innovation in the present advanced agriculture that is being actualized and conveyed for more sustainable utilization of available assets. Increasing utilization and rising necessity of better yield of products are assessed to be one of the central point that is fueling the demand of robots in agriculture.
The report offers various perspectives into the various factors boosting market segments, competitive analytics, the market’s leading trends, and the restraints of the global AI in agriculture market. The study analyzes the various steps of progress witnessed by the industry considering current models that would impact the market over the forecast period of 2018 and 2026.
Global AI in Agriculture Market: Trends and Opportunities
Usage of AI in agriculture offers different focal points, for example, maximizing the product yield using machine learning and picture processing methods. For instance, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) collaborated with Microsoft to build up an AI-based sowing App that sends sowing warnings to ranchers mentioning the date following.
Later innovative progressions and the modernization of GPS are making ranchers and the agriculture specialist co-ops anticipate that additional upgrades will increase the profitability. Alongside the present non-military personnel benefit given by GPS, nations, for example, US is planning to actualize a second and a third signal on GPS satellites. This execution of new flags will upgrade the quality, and additionally proficiency of farming tasks, and along these lines, increase the general efficiency over the coming years.
Global AI in Agriculture Market: Regional Outlook
North America is evaluated to be the dominating locale in the worldwide AI in agriculture market. The growth of the market is credited to the high selection of trend setting innovations and item in agriculture part. Besides, selection of the prescient examination and remote monitoring innovation in agriculture is additionally contributing essentially towards the industry growth. What's more, higher innovative awareness is additionally backing the growth of the AI in agriculture market.
Then again, Asia Pacific is foreseen to encounter high growth rate during the coming years owing to the increasing demand from developing nations, for example, India and China. Besides, increasing adoption of the mechanical technology and IoT gadgets in agriculture is additionally assessed to drive the AI in agriculture market.
Global AI in Agriculture Market: Competitive Landscape
The AI market in agriculture is currently features moderate competition, with some established, international vendors dominating the market.
Leading vendors operating in the global AI in agriculture market are Granular, Agworld, Pycno, Farmlogs, Hortau, Trimble, and Grownetics.
Market segmentation based on geography:
- North America
- South America
- Asia Pacific
- Middle East and Africa
This report gives access to decisive data, such as:
- Market growth drivers
- Factors limiting market growth
- Current market trends
- Market structure
- Market projections for the coming years
Key highlights of this report include:
- Overview of key market forces propelling and restraining market growth
- Up-to-date analyses of market trends and technological improvements
- Pin-point analyses of market competition dynamics to offer you a competitive edge
- An analysis of strategies of major competitors
- An array of graphics and SWOT analysis of major industry segments
- Detailed analyses of industry trends
- A well-defined technological growth map with an impact-analysis
- Offers a clear understanding of the competitive landscape and key product segments
Note: Although care has been taken to maintain the highest levels of accuracy in TMR’s reports, recent market/vendor-specific changes may take time to reflect in the analysis.