GITNUX MARKETDATA REPORT 2024

Ai In The Cannabis Industry Statistics

As AI technology continues to advance, we can expect an increase in efficiency, precision, and insights in various aspects of the cannabis industry including cultivation, processing, and customer engagement.

Highlights: Ai In The Cannabis Industry Statistics

  • By 2027, the global AI in the Cannabis Industry is projected to reach a market size of US$ 473.4 million.
  • In 2021 Texas-based LeafLife expects to launch an AI cultivation software that could create an extra $100m/year in cultivation revenue per large-cap grower.
  • The major share of the AI in the Cannabis dispensaries accounted for 60% of the global share in 2019.
  • The AI in the Cannabis cultivation segment is projected to grow at a significant rate over the forecasted period.
  • The widespread adoption of AI-led automation in cannabis cultivation could lead to a 30% reduction in overhead costs.
  • A study found that 70% of the cannabis business owners surveyed agree that AI can help reduce the costs and improve efficiencies.
  • By 2025, the automation in the cannabis industry, heavily represented by AI, could save up to $8 billion in annual savings.
  • The AI in the cannabis market in North America is expected to grow at a CAGR of 22.3% from 2020 to 2027.
  • The AI in cannabis market in Asia-Pacific is expected to grow at the highest CAGR of 29.5% from 2020 to 2027.
  • Around 80% of cannabis growers surveyed anticipate they will have adopted some level of artificial intelligence in their operations by 2022.
  • In a survey, AI in cannabis manufacturing was seen as a high priority by an estimated 30% of the businesses.
  • AI-driven tools for indoor cannabis farming have increased yield by up to 40%.
  • The AI in the cannabis market reached a value of 85.5 million USD in 2020.
  • The global cannabis market is expected to reach USD 97.35 billion by 2026, and AI incorporation is partially responsible for this enormous growth.
  • Automated AI machines can process around 60 lbs of dry cannabis per day which is the equivalent of the work done by 30 human trimmers.
  • By 2027, the AI in Cannabis Industry segment in Europe is projected to reach US$ 185.1 Million.
  • Companies leveraging AI in cannabis production reportedly increased output by up to 24% and have expressed intent to increase AI use by 30% in the next 3 years.
  • Artificial Intelligence in the cannabis industry among medical cannabis users saw an increased acceptance by 56% in 2020.

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Statistical analysis is a powerful tool in understanding the impact of artificial intelligence (AI) in the cannabis industry. In this blog post, we will delve into the latest statistics and trends surrounding AI integration in the cannabis sector. Join us as we explore the data-driven insights that are shaping the future of this evolving industry.

The Latest Ai In The Cannabis Industry Statistics Explained

By 2027, the global AI in the Cannabis Industry is projected to reach a market size of US$ 473.4 million.

The statistic states that by the year 2027, the global artificial intelligence (AI) market within the cannabis industry is forecasted to grow to a market size of US$ 473.4 million. This indicates a significant anticipated increase in the adoption and integration of AI technologies within the cannabis sector. AI is expected to play a pivotal role in various aspects of the industry, such as optimizing cultivation processes, improving quality control, enhancing compliance measures, and streamlining business operations. As the cannabis market continues to expand and evolve, leveraging AI capabilities can potentially lead to increased efficiency, productivity, and innovation in the production and distribution of cannabis products worldwide.

In 2021 Texas-based LeafLife expects to launch an AI cultivation software that could create an extra $100m/year in cultivation revenue per large-cap grower.

The statistic highlights that in 2021, LeafLife, a Texas-based company, is planning to introduce an AI cultivation software that is projected to generate an additional $100 million per year in cultivation revenue for large-cap growers. This announcement suggests that the new software technology has the potential to significantly boost revenue for growers by optimizing cultivation processes through the use of artificial intelligence. The implication is that by implementing this software, large-cap growers in the industry could experience substantial financial gains, further enhancing their profitability and efficiency in the cultivation of plants.

The major share of the AI in the Cannabis dispensaries accounted for 60% of the global share in 2019.

The statistic suggests that artificial intelligence (AI) played a significant role in the operations of cannabis dispensaries around the world in 2019, holding a substantial 60% share of the global market. This indicates that many cannabis dispensaries implemented AI technologies to enhance various aspects of their business operations, such as inventory management, customer service, sales forecasting, and data analytics. The high adoption rate of AI in this industry highlights the potential benefits and efficiencies that AI solutions bring to cannabis businesses, contributing significantly to their overall market presence and success.

The AI in the Cannabis cultivation segment is projected to grow at a significant rate over the forecasted period.

The statistic stating that AI in the Cannabis cultivation segment is projected to grow at a significant rate over the forecasted period signifies that artificial intelligence technologies are expected to play an increasingly integral role in the cultivation of Cannabis plants. This projected growth suggests that advancements in AI tools and techniques are anticipated to drive improvements in areas such as crop monitoring, optimization of growing conditions, predictive analytics for yield estimation, and overall efficiency in the cultivation process. As a result, the Cannabis industry is likely to witness enhanced productivity, higher quality products, and potentially reduced costs through the integration of AI technologies in cultivation practices.

The widespread adoption of AI-led automation in cannabis cultivation could lead to a 30% reduction in overhead costs.

The statistic suggests that implementing AI-led automation in cannabis cultivation processes has the potential to significantly decrease overhead costs by approximately 30%. This would likely result from the increased efficiency and precision that AI systems can bring to various tasks in cultivation, such as monitoring plant health, controlling environmental conditions, and optimizing resource usage. By streamlining operations and reducing the need for manual labor, cannabis businesses could experience these substantial cost savings, ultimately improving their overall profitability and competitive edge in the market.

A study found that 70% of the cannabis business owners surveyed agree that AI can help reduce the costs and improve efficiencies.

The statistic suggests that a significant majority, 70%, of cannabis business owners who were surveyed believe that artificial intelligence (AI) has the potential to lower costs and enhance operational efficiencies within their industry. This indicates a strong belief in the benefits of AI technology among this particular group of business owners. The findings imply that there is a perception that AI could be a valuable tool for increasing productivity and competitiveness within the cannabis sector, potentially leading to improved profitability and sustainability. However, it is important to note that these results are based on self-reported responses from a specific sample of business owners and may not necessarily represent the broader opinions or experiences within the industry.

By 2025, the automation in the cannabis industry, heavily represented by AI, could save up to $8 billion in annual savings.

The statistic implies that by the year 2025, the cannabis industry is projected to see significant cost savings through the implementation of automation technologies, particularly artificial intelligence (AI). It is estimated that these advancements could lead to annual savings of up to $8 billion for the industry. Automation in this context likely refers to the use of AI technologies to improve cultivation processes, optimize supply chain management, enhance customer service, and streamline various operational tasks within the cannabis sector. The potential savings indicate the efficiency and cost-effectiveness that AI-driven automation solutions can bring to the cannabis industry by reducing manual labor costs, minimizing errors, and increasing overall productivity.

The AI in the cannabis market in North America is expected to grow at a CAGR of 22.3% from 2020 to 2027.

This statistic indicates that the artificial intelligence (AI) sector within the cannabis market in North America is projected to experience a Compound Annual Growth Rate (CAGR) of 22.3% from the year 2020 to 2027. This growth rate suggests a rapid expansion of AI technologies and applications specifically within the cannabis industry, reflecting increasing adoption and investment in AI solutions aimed at improving efficiency, productivity, and decision-making processes within the sector over the specified timeframe. The CAGR provides a measure of the average annual growth rate of the AI market in the cannabis industry, enabling stakeholders to anticipate the pace of growth and make informed decisions regarding investments, strategies, and market opportunities within this evolving landscape.

The AI in cannabis market in Asia-Pacific is expected to grow at the highest CAGR of 29.5% from 2020 to 2027.

This statistic indicates that the artificial intelligence (AI) sector within the cannabis market in the Asia-Pacific region is forecasted to experience the highest Compound Annual Growth Rate (CAGR) of 29.5% between the years 2020 and 2027. This suggests a rapid and substantial increase in the adoption and utilization of AI technology within the cannabis industry in countries across the Asia-Pacific region during this period. The high growth rate underscores the significant potential for innovation, efficiency improvements, and market expansion within the cannabis sector through the implementation of AI technologies, positioning the region as a key player in the global cannabis market.

Around 80% of cannabis growers surveyed anticipate they will have adopted some level of artificial intelligence in their operations by 2022.

The statistic indicates that a significant majority (around 80%) of cannabis growers who were surveyed anticipate integrating some form of artificial intelligence into their operations by the year 2022. This suggests a growing trend towards utilizing advanced technology to enhance efficiency and productivity in the cultivation of cannabis. The adoption of artificial intelligence in this industry can lead to various benefits such as improved crop monitoring, optimized resource management, and increased yields. This statistic highlights the increasing recognition and acceptance of AI technology within the cannabis cultivation sector, signaling a shift towards modern and innovative practices in the industry.

In a survey, AI in cannabis manufacturing was seen as a high priority by an estimated 30% of the businesses.

In the survey, approximately 30% of the businesses expressed that implementing artificial intelligence (AI) in cannabis manufacturing was considered a high priority for them. This statistic indicates a notable level of interest and recognition among businesses in the cannabis industry for the potential benefits that AI technology can offer in manufacturing processes. The high priority designation suggests that these businesses likely see AI as a valuable tool that could enhance efficiency, productivity, quality control, or other aspects of their manufacturing operations. Overall, this statistic reveals an important trend towards the adoption of advanced technologies like AI within the cannabis manufacturing sector, highlighting a shift towards innovation and competitiveness in the industry.

AI-driven tools for indoor cannabis farming have increased yield by up to 40%.

The statistic indicates that the use of artificial intelligence technology has had a significant impact on increasing the yield of indoor cannabis farming operations. By leveraging AI-driven tools, cannabis growers have been able to optimize various aspects of the cultivation process, leading to a substantial improvement in crop yield. This advancement in technology has enabled growers to better monitor and adjust key factors such as lighting, humidity, temperature, and nutrients to create ideal growing conditions for cannabis plants. The notable 40% increase in yield attributed to AI-driven tools underscores the effectiveness and value of integrating advanced technologies into the indoor farming industry to achieve higher productivity and ultimately enhance overall crop outputs.

The AI in the cannabis market reached a value of 85.5 million USD in 2020.

The statistic states that the artificial intelligence (AI) segment within the cannabis market had a value of 85.5 million USD in the year 2020. This figure represents the total market value attributed to AI technologies being utilized within the cannabis industry during that specific year. The growth of AI within the cannabis market suggests an increasing trend towards automation, data analysis, and optimization within the industry. This statistic highlights the importance and potential impact of AI in improving processes, decision-making, and efficiency within the cannabis market.

The global cannabis market is expected to reach USD 97.35 billion by 2026, and AI incorporation is partially responsible for this enormous growth.

The statistic indicates that the global cannabis market is projected to grow significantly to reach USD 97.35 billion by 2026, with AI integration playing a critical role in driving this growth. The incorporation of artificial intelligence technologies in the cannabis industry has led to increased efficiency in cultivation, distribution, and sales processes, resulting in improved yields, product quality, and customer service. AI algorithms are being utilized for various purposes such as optimizing plant growth conditions, predicting market trends, personalizing customer experiences, and ensuring regulatory compliance. This integration of AI in the cannabis sector is enabling businesses to streamline operations, make data-driven decisions, and stay competitive in a rapidly expanding market, contributing to the expected substantial growth in the industry over the coming years.

Automated AI machines can process around 60 lbs of dry cannabis per day which is the equivalent of the work done by 30 human trimmers.

The statistic indicates that automated AI machines have the capability to process approximately 60 pounds of dry cannabis per day, which is equivalent to the output of 30 human trimmers working manually. This highlights the efficiency and productivity gains that can be achieved through automation in the cannabis industry. By utilizing AI machines for processing tasks, companies can significantly increase their production capacity while reducing the reliance on human labor. This not only improves overall efficiency and output but also demonstrates the potential for advanced technologies to revolutionize traditional processes in the cannabis cultivation and processing sector.

By 2027, the AI in Cannabis Industry segment in Europe is projected to reach US$ 185.1 Million.

The statistic suggests that by the year 2027, the Artificial Intelligence (AI) segment within the Cannabis Industry in Europe is anticipated to grow significantly, with a projected market value of US$ 185.1 million. This projection indicates a promising outlook for the integration of AI technology within the cannabis sector, highlighting a potential shift towards automation, analytics, and data-driven decision-making processes. The expected rapid growth in this segment signifies the increasing interest and investment in leveraging AI capabilities to optimize operations, drive innovation, and enhance overall efficiency within the European cannabis market.

Companies leveraging AI in cannabis production reportedly increased output by up to 24% and have expressed intent to increase AI use by 30% in the next 3 years.

The statistic indicates that companies using artificial intelligence (AI) in cannabis production have experienced a significant increase in output by as much as 24%. This suggests that AI technology is playing a crucial role in improving efficiency and productivity within the cannabis industry. Furthermore, the fact that these companies are planning to further increase their utilization of AI by 30% over the next three years signifies a growing recognition of the benefits and potential of AI in optimizing various aspects of cannabis production processes. Overall, the statistic highlights the positive impact of AI adoption in the cannabis sector and the industry’s willingness to embrace and expand the use of AI technologies in the near future.

Artificial Intelligence in the cannabis industry among medical cannabis users saw an increased acceptance by 56% in 2020.

The statistic indicates that within the medical cannabis user population, there was a notable increase of 56% in the acceptance of artificial intelligence technologies within the cannabis industry in 2020 compared to previous years. This suggests that a growing number of individuals who use medical cannabis are becoming more open to incorporating artificial intelligence tools and techniques into various aspects of the cannabis industry, such as production, distribution, or consumer services. The data reflects a shifting attitude towards technology and innovation within the cannabis sector, potentially driven by factors like increased awareness of the benefits of artificial intelligence in improving efficiency, product quality, and overall user experience.

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How we write our statistic reports:

We have not conducted any studies ourselves. Our article provides a summary of all the statistics and studies available at the time of writing. We are solely presenting a summary, not expressing our own opinion. We have collected all statistics within our internal database. In some cases, we use Artificial Intelligence for formulating the statistics. The articles are updated regularly.

See our Editorial Process.

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