[250 Pages Report] The global automated cannabis testing demand is anticipated to grow at a prolific CAGR of around 11% to 13% during the forecast period from 2022 to 2032. Growth in the market is attributable to the rising adoption of automation in cannabis testing laboratories and increasing demand for high quality cannabis based medical products across the world.
| Report Attribute | Details |
|---|---|
| Automated Cannabis Testing Market Projected Growth Rate (2022 to 2032) | 11% - 13% CAGR |
Despite stringent regulations and risk of drug addiction, demand for cannabis has witnessed significant increase over the last few years due to its various medicinal properties. Cannabis, also known as marijuana, is a psychotic drug derived from the genus of cannabaceae family.
Medical cannabis is still in its introductory phase in the medical health industry. Various researches have revealed the potential of cannabis in treating a number of health conditions such as chronic pain, muscle spasm, insomnia, diabetes, vomiting and several mental disorders. However, cannabis testing is required before cannabis products can be used for various applications as well as to uncover various promising properties of cannabis.
Today, most of the research and development laboratories have resorted to automation. Automated cannabis testing is an innovative process of evaluating the safety, potency and quality of cannabis products using advanced equipment. Rising demand for quality medical marijuana products across the world is a major factor driving the automated cannabis testing market.
Cannabis contains over 100 compounds (called cannabinoids), which trigger psychoactive effects after consumption. Automated cannabis testing is done to ensure that harmful chemicals do not find their way into the products as well as to improve the quality of products.
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Growing demand for high quality medicinal cannabis products, legalization of marijuana across various regions, growing penetration of modern technologies across cannabis testing laboratories, and increase in the number of research and development laboratories are some of the major factors driving the global automated cannabis testing market.
Automation of laboratory workflow has become a need of the hour in the modern world. To follow this trend, laboratories associated with cannabis testing are also integrating modern technologies to improve results, minimize human interference, and reduce processing time. Rising adoption of automation for cannabis testing is providing a major impetus to the growth of automated cannabis testing,
Automated cannabis testing is used to determine the levels of cannabinoid, terpenes, pesticides, heavy metals, moisture content etc. in quick time and with better accuracy. As the trend of using high quality medicinal cannabis products grows, more and more cannabis testing laboratories are resorting towards automation. This will continue to provide tailwinds to the growth of automated cannabis testing market during the forecast period.
Similarly, rising government legalizations on the distribution and consumption of medical marijuana is emerging as another factor boosting the growth of automated cannabis testing market. Various states are monitoring and legalizing marijuana for medicinal and recreational purposes. For instance, in 2021 4 states (New York, New Mexico, Connecticut, and Virginia) passed legislation to legalize marijuana for recreational purposes.
In addition to this, growing awareness among people regarding the benefits of cannabis in pain management and other medicinal purposes will further create growth prospects within the global automated cannabis testing market in future.
Despite positive growth projections, the global automated cannabis testing market is facing various challenges that are restraining its growth to a large extent. Some of these challenges are the presence of stringent regulations, lack of standardization, and high cost of automated cannabis testing equipment.
Most nations of the world have strict regulations on the use of cannabis, which is becoming a major hurdle for the growth of automated cannabis testing market.
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North America was the largest market for automated cannabis testing in 2022 and is expected to continue its dominance during the forecast period, owing to the increasing spending on research activities, growing popularity of cannabis for pain management application, heavy presence of leading market players, and legalization of cannabis across some areas.
Over the last few years, various legislations have been passed in nations like the United States and Canada to legalize cannabis for recreational purposes. This has significantly increased the demand for high quality marijuana products. Driven by this, these countries are slated to witness rapid growth of automated cannabis testing market during the forecast period.
Moreover, increasing research and development activities for exploring the potential benefits of cannabis along with a rise in number of cannabis testing laboratories and growing penetration of automation will further generate growth avenues within the automated cannabis testing market in future.
According to Future Market Insights, Europe is expected to provide immense growth opportunities for automated cannabis testing market players during the forecast period, owing to the increasing consumption of medicinal cannabis, rising penetration of lab automation for improving results and saving time, and increase in product approvals by regulating bodies.
Countries like Malta and Germany are becoming lucrative destinations for automated cannabis testing due to legalization of marijuana and growing consumer demand for high quality products.
Similarly, growing adoption of automation by cannabis testing laboratories across these European nations is boosting the growth of automated cannabis testing market and the trend is likely to continue in future.
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Some of the key participants present in the global automated cannabis testing market include Medicinal Genomics Corp., PerkinElmer Inc., Agilent Technologies, Inc., Todaro robotics, Hamilton Company, Quantum Analytics, Shimadzu Scientific Instruments, among others.
These key players are continuously focusing on new product launches and approvals to gain a competitive edge in the market. Furthermore, they have adopted various organic and inorganic growth strategies to expand their global footprint.
| Report Attribute | Details |
|---|---|
| Growth Rate | CAGR of 11% - 13% from 2022 to 2032 |
| Base Year for Estimation | 2021 |
| Historical Data | 2015 to 2020 |
| Forecast Period | 2022 to 2032 |
| Quantitative Units | Revenue in USD Billion and CAGR from 2022 to 2032 |
| Report Coverage | Revenue Forecast, Volume Forecast, Company Ranking, Competitive Landscape, Growth Factors, Trends and Pricing Analysis |
| Segments Covered | Product Type, Application, End User, Region |
| Regions Covered | North America; Latin America; Western Europe; Eastern Europe; APEJ; Japan; Middle East and Africa |
| Key Countries Profiled | USA, Canada, Brazil, Argentina, Germany, UK, France, Spain, Italy, Nordics, BENELUX, Australia & New Zealand, China, India, ASEAN, GCC, South Africa |
| Key Companies Profiled | Medicinal Genomics Corp.; PerkinElmer Inc.; Agilent Technologies, Inc.; Todaro robotics; Hamilton Company; Quantum Analytics; Shimadzu Scientific Instruments |
| Customization | Available Upon Request |
FMI projects the global automated cannabis testing market to expand at around 11% to 13% value CAGR by 2032
As per FMI, North America and Europe will continue to remain the most attractive markets for automated cannabis testing over the assessment period.
Medicinal Genomics Corp., PerkinElmer Inc., Agilent Technologies, Inc., Todaro robotics, and Hamilton Company are some prominent automated cannabis testing manufacturers
1. Executive Summary
1.1. Global Market Outlook
1.2. Demand-side Trends
1.3. Supply-side Trends
1.4. Technology Roadmap Analysis
1.5. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Background
3.1. Market Dynamics
3.1.1. Drivers
3.1.2. Restraints
3.1.3. Opportunity
3.1.4. Trends
3.2. Scenario Forecast
3.2.1. Demand in Optimistic Scenario
3.2.2. Demand in Likely Scenario
3.2.3. Demand in Conservative Scenario
3.3. Opportunity Map Analysis
3.4. Investment Feasibility Matrix
3.5. PESTLE and Porter’s Analysis
3.6. Regulatory Landscape
3.6.1. By Key Regions
3.6.2. By Key Countries
3.7. Regional Parent Market Outlook
4. Global Automated Cannabis Testing Market Analysis 2017-2021 and Forecast, 2022-2032
4.1. Historical Market Size Value (US$ Mn) Analysis, 2017-2021
4.2. Current and Future Market Size Value (US$ Mn) Projections, 2022-2032
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Global Automated Cannabis Testing Market Analysis 2017-2021 and Forecast 2022-2032, By Product Type
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Mn) Analysis By Product Type, 2017-2021
5.3. Current and Future Market Size Value (US$ Mn) Analysis and Forecast By Product Type, 2022-2032
5.3.1. Stand Alone Cannabis Testing Devices
5.3.2. Portable Cannabis Testing Devices
5.3.2.1. Table-Top Analyzers
5.3.2.2. Hand-held Analyzers
5.4. Y-o-Y Growth Trend Analysis By Product Type, 2017-2021
5.5. Absolute $ Opportunity Analysis By Product Type, 2022-2032
Deep-dive segmentation will be available in the sample on request
6. Global Automated Cannabis Testing Market Analysis 2017-2021 and Forecast 2022-2032, By Technology
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Mn) Analysis By Technology, 2017-2021
6.3. Current and Future Market Size Value (US$ Mn) Analysis and Forecast By Technology, 2022-2032
6.3.1. HPLC
6.3.2. LCMS
6.3.3. ICP-MS
6.3.4. ICP-OES
6.3.5. Gas Chromatography Mass Spectrometry
6.3.6. Others
6.4. Y-o-Y Growth Trend Analysis By Technology, 2017-2021
6.5. Absolute $ Opportunity Analysis By Technology, 2022-2032
Deep-dive segmentation will be available in the sample on request
7. Global Automated Cannabis Testing Market Analysis 2017-2021 and Forecast 2022-2032, By End User
7.1. Introduction / Key Findings
7.2. Historical Market Size Value (US$ Mn) Analysis By End User, 2017-2021
7.3. Current and Future Market Size Value (US$ Mn) Analysis and Forecast By End User, 2022-2032
7.3.1. Pharmaceutical Companies
7.3.2. Agriculture Laboratory
7.3.3. Cannabis Testing Facilities
7.3.4. Academic Institutes
7.3.5. Cannabis Research Centres
7.3.6. Others
7.4. Y-o-Y Growth Trend Analysis By End User, 2017-2021
7.5. Absolute $ Opportunity Analysis By End User, 2022-2032
Deep-dive segmentation will be available in the sample on request
8. Global Automated Cannabis Testing Market Analysis 2017-2021 and Forecast 2022-2032, By Region
8.1. Introduction
8.2. Historical Market Size Value (US$ Mn) Analysis By Region, 2017-2021
8.3. Current Market Size Value (US$ Mn) Analysis and Forecast By Region, 2022-2032
8.3.1. North America
8.3.2. Latin America
8.3.3. Europe
8.3.4. East Asia
8.3.5. South Asia & Pacific
8.3.6. MEA
8.4. Market Attractiveness Analysis By Region
9. North America Automated Cannabis Testing Market Analysis 2017-2021 and Forecast 2022-2032, By Country
9.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2017-2021
9.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032
9.2.1. By Country
9.2.1.1. U.K.
9.2.1.2. Canada
9.2.2. By Product Type
9.2.3. By Technology
9.2.4. By End User
9.3. Market Attractiveness Analysis
9.3.1. By Country
9.3.2. By Product Type
9.3.3. By Technology
9.3.4. By End User
9.4. Key Takeaways
10. Latin America Automated Cannabis Testing Market Analysis 2017-2021 and Forecast 2022-2032, By Country
10.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2017-2021
10.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032
10.2.1. By Country
10.2.1.1. Brazil
10.2.1.2. Mexico
10.2.1.3. Rest of Latin America
10.2.2. By Product Type
10.2.3. By Technology
10.2.4. By End User
10.3. Market Attractiveness Analysis
10.3.1. By Country
10.3.2. By Product Type
10.3.3. By Technology
10.3.4. By End User
10.4. Key Takeaways
11. Europe Automated Cannabis Testing Market Analysis 2017-2021 and Forecast 2022-2032, By Country
11.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2017-2021
11.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032
11.2.1. By Country
11.2.1.1. Germany
11.2.1.2. U.K.
11.2.1.3. France
11.2.1.4. Spain
11.2.1.5. Italy
11.2.1.6. Rest of Europe
11.2.2. By Product Type
11.2.3. By Technology
11.2.4. By End User
11.3. Market Attractiveness Analysis
11.3.1. By Country
11.3.2. By Product Type
11.3.3. By Technology
11.3.4. By End User
11.4. Key Takeaways
12. East Asia Automated Cannabis Testing Market Analysis 2017-2021 and Forecast 2022-2032, By Country
12.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2017-2021
12.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032
12.2.1. By Country
12.2.1.1. China
12.2.1.2. Japan
12.2.1.3. South Korea
12.2.2. By Product Type
12.2.3. By Technology
12.2.4. By End User
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By Product Type
12.3.3. By Technology
12.3.4. By End User
12.4. Key Takeaways
13. South Asia & Pacific Automated Cannabis Testing Market Analysis 2017-2021 and Forecast 2022-2032, By Country
13.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2017-2021
13.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032
13.2.1. By Country
13.2.1.1. India
13.2.1.2. Thailand
13.2.1.3. Indonesia
13.2.1.4. Malaysia
13.2.1.5. Singapore
13.2.1.6. Australia
13.2.1.7. New Zealand
13.2.1.8. Rest of South Asia & Pacific
13.2.2. By Product Type
13.2.3. By Technology
13.2.4. By End User
13.3. Market Attractiveness Analysis
13.3.1. By Country
13.3.2. By Product Type
13.3.3. By Technology
13.3.4. By End User
13.4. Key Takeaways
14. MEA Automated Cannabis Testing Market Analysis 2017-2021 and Forecast 2022-2032, By Country
14.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2017-2021
14.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032
14.2.1. By Country
14.2.1.1. GCC Countries
14.2.1.2. South Africa
14.2.1.3. Israel
14.2.1.4. Rest of MEA
14.2.2. By Product Type
14.2.3. By Technology
14.2.4. By End User
14.3. Market Attractiveness Analysis
14.3.1. By Country
14.3.2. By Product Type
14.3.3. By Technology
14.3.4. By End User
14.4. Key Takeaways
15. Key Countries Automated Cannabis Testing Market Analysis
15.1. U.K.
15.1.1. Pricing Analysis
15.1.2. Market Share Analysis, 2021
15.1.2.1. By Product Type
15.1.2.2. By Technology
15.1.2.3. By End User
15.2. Canada
15.2.1. Pricing Analysis
15.2.2. Market Share Analysis, 2021
15.2.2.1. By Product Type
15.2.2.2. By Technology
15.2.2.3. By End User
15.3. Brazil
15.3.1. Pricing Analysis
15.3.2. Market Share Analysis, 2021
15.3.2.1. By Product Type
15.3.2.2. By Technology
15.3.2.3. By End User
15.4. Mexico
15.4.1. Pricing Analysis
15.4.2. Market Share Analysis, 2021
15.4.2.1. By Product Type
15.4.2.2. By Technology
15.4.2.3. By End User
15.5. Germany
15.5.1. Pricing Analysis
15.5.2. Market Share Analysis, 2021
15.5.2.1. By Product Type
15.5.2.2. By Technology
15.5.2.3. By End User
15.6. U.K.
15.6.1. Pricing Analysis
15.6.2. Market Share Analysis, 2021
15.6.2.1. By Product Type
15.6.2.2. By Technology
15.6.2.3. By End User
15.7. France
15.7.1. Pricing Analysis
15.7.2. Market Share Analysis, 2021
15.7.2.1. By Product Type
15.7.2.2. By Technology
15.7.2.3. By End User
15.8. Spain
15.8.1. Pricing Analysis
15.8.2. Market Share Analysis, 2021
15.8.2.1. By Product Type
15.8.2.2. By Technology
15.8.2.3. By End User
15.9. Italy
15.9.1. Pricing Analysis
15.9.2. Market Share Analysis, 2021
15.9.2.1. By Product Type
15.9.2.2. By Technology
15.9.2.3. By End User
15.10. China
15.10.1. Pricing Analysis
15.10.2. Market Share Analysis, 2021
15.10.2.1. By Product Type
15.10.2.2. By Technology
15.10.2.3. By End User
15.11. Japan
15.11.1. Pricing Analysis
15.11.2. Market Share Analysis, 2021
15.11.2.1. By Product Type
15.11.2.2. By Technology
15.11.2.3. By End User
15.12. South Korea
15.12.1. Pricing Analysis
15.12.2. Market Share Analysis, 2021
15.12.2.1. By Product Type
15.12.2.2. By Technology
15.12.2.3. By End User
15.13. India
15.13.1. Pricing Analysis
15.13.2. Market Share Analysis, 2021
15.13.2.1. By Product Type
15.13.2.2. By Technology
15.13.2.3. By End User
15.14. Thailand
15.14.1. Pricing Analysis
15.14.2. Market Share Analysis, 2021
15.14.2.1. By Product Type
15.14.2.2. By Technology
15.14.2.3. By End User
15.15. Indonesia
15.15.1. Pricing Analysis
15.15.2. Market Share Analysis, 2021
15.15.2.1. By Product Type
15.15.2.2. By Technology
15.15.2.3. By End User
15.16. Malaysia
15.16.1. Pricing Analysis
15.16.2. Market Share Analysis, 2021
15.16.2.1. By Product Type
15.16.2.2. By Technology
15.16.2.3. By End User
15.17. Singapore
15.17.1. Pricing Analysis
15.17.2. Market Share Analysis, 2021
15.17.2.1. By Product Type
15.17.2.2. By Technology
15.17.2.3. By End User
15.18. Australia
15.18.1. Pricing Analysis
15.18.2. Market Share Analysis, 2021
15.18.2.1. By Product Type
15.18.2.2. By Technology
15.18.2.3. By End User
15.19. New Zealand
15.19.1. Pricing Analysis
15.19.2. Market Share Analysis, 2021
15.19.2.1. By Product Type
15.19.2.2. By Technology
15.19.2.3. By End User
15.20. GCC Countries
15.20.1. Pricing Analysis
15.20.2. Market Share Analysis, 2021
15.20.2.1. By Product Type
15.20.2.2. By Technology
15.20.2.3. By End User
15.21. South Africa
15.21.1. Pricing Analysis
15.21.2. Market Share Analysis, 2021
15.21.2.1. By Product Type
15.21.2.2. By Technology
15.21.2.3. By End User
15.22. Israel
15.22.1. Pricing Analysis
15.22.2. Market Share Analysis, 2021
15.22.2.1. By Product Type
15.22.2.2. By Technology
15.22.2.3. By End User
16. Market Structure Analysis
16.1. Competition Dashboard
16.2. Competition Benchmarking
16.3. Market Share Analysis of Top Players
16.3.1. By Regional
16.3.2. By Product Type
16.3.3. By Technology
16.3.4. By End User
17. Competition Analysis
17.1. Competition Deep Dive
17.1.1. Perkin Elmer, Inc.
17.1.1.1. Overview
17.1.1.2. Product Portfolio
17.1.1.3. Profitability by Market Segments
17.1.1.4. Sales Footprint
17.1.1.5. Strategy Overview
17.1.1.5.1. Marketing Strategy
17.1.2. Shimadzu Corporation
17.1.2.1. Overview
17.1.2.2. Product Portfolio
17.1.2.3. Profitability by Market Segments
17.1.2.4. Sales Footprint
17.1.2.5. Strategy Overview
17.1.2.5.1. Marketing Strategy
17.1.3. Merck KGaA
17.1.3.1. Overview
17.1.3.2. Product Portfolio
17.1.3.3. Profitability by Market Segments
17.1.3.4. Sales Footprint
17.1.3.5. Strategy Overview
17.1.3.5.1. Marketing Strategy
17.1.4. Agilent Technologies, Inc.
17.1.4.1. Overview
17.1.4.2. Product Portfolio
17.1.4.3. Profitability by Market Segments
17.1.4.4. Sales Footprint
17.1.4.5. Strategy Overview
17.1.4.5.1. Marketing Strategy
17.1.5. AB SCIEX LLC
17.1.5.1. Overview
17.1.5.2. Product Portfolio
17.1.5.3. Profitability by Market Segments
17.1.5.4. Sales Footprint
17.1.5.5. Strategy Overview
17.1.5.5.1. Marketing Strategy
17.1.6. Cannabix Technologies, Inc.
17.1.6.1. Overview
17.1.6.2. Product Portfolio
17.1.6.3. Profitability by Market Segments
17.1.6.4. Sales Footprint
17.1.6.5. Strategy Overview
17.1.6.5.1. Marketing Strategy
17.1.7. Waters Corporation
17.1.7.1. Overview
17.1.7.2. Product Portfolio
17.1.7.3. Profitability by Market Segments
17.1.7.4. Sales Footprint
17.1.7.5. Strategy Overview
17.1.7.5.1. Marketing Strategy
17.1.8. Steep Hill Labs, Inc.
17.1.8.1. Overview
17.1.8.2. Product Portfolio
17.1.8.3. Profitability by Market Segments
17.1.8.4. Sales Footprint
17.1.8.5. Strategy Overview
17.1.8.5.1. Marketing Strategy
17.1.9. Digipath Labs, Inc.
17.1.9.1. Overview
17.1.9.2. Product Portfolio
17.1.9.3. Profitability by Market Segments
17.1.9.4. Sales Footprint
17.1.9.5. Strategy Overview
17.1.9.5.1. Marketing Strategy
17.1.10. Medicinal Genomics Corp.
17.1.10.1. Overview
17.1.10.2. Product Portfolio
17.1.10.3. Profitability by Market Segments
17.1.10.4. Sales Footprint
17.1.10.5. Strategy Overview
17.1.10.5.1. Marketing Strategy
17.1.11. Hamilton Company
17.1.11.1. Overview
17.1.11.2. Product Portfolio
17.1.11.3. Profitability by Market Segments
17.1.11.4. Sales Footprint
17.1.11.5. Strategy Overview
17.1.11.5.1. Marketing Strategy
17.1.12. LabX
17.1.12.1. Overview
17.1.12.2. Product Portfolio
17.1.12.3. Profitability by Market Segments
17.1.12.4. Sales Footprint
17.1.12.5. Strategy Overview
17.1.12.5.1. Marketing Strategy
17.1.13. Todaro robotics
17.1.13.1. Overview
17.1.13.2. Product Portfolio
17.1.13.3. Profitability by Market Segments
17.1.13.4. Sales Footprint
17.1.13.5. Strategy Overview
17.1.13.5.1. Marketing Strategy
17.1.14. Promium, LLC.
17.1.14.1. Overview
17.1.14.2. Product Portfolio
17.1.14.3. Profitability by Market Segments
17.1.14.4. Sales Footprint
17.1.14.5. Strategy Overview
17.1.14.5.1. Marketing Strategy
17.1.15. Thermo Fisher Scientific
17.1.15.1. Overview
17.1.15.2. Product Portfolio
17.1.15.3. Profitability by Market Segments
17.1.15.4. Sales Footprint
17.1.15.5. Strategy Overview
17.1.15.5.1. Marketing Strategy
17.1.16. Neu-tec Group Inc.
17.1.16.1. Overview
17.1.16.2. Product Portfolio
17.1.16.3. Profitability by Market Segments
17.1.16.4. Sales Footprint
17.1.16.5. Strategy Overview
17.1.16.5.1. Marketing Strategy
17.1.17. QUANTUM ANALYTICS
17.1.17.1. Overview
17.1.17.2. Product Portfolio
17.1.17.3. Profitability by Market Segments
17.1.17.4. Sales Footprint
17.1.17.5. Strategy Overview
17.1.17.5.1. Marketing Strategy
17.1.18. VWR (Avantor)
17.1.18.1. Overview
17.1.18.2. Product Portfolio
17.1.18.3. Profitability by Market Segments
17.1.18.4. Sales Footprint
17.1.18.5. Strategy Overview
17.1.18.5.1. Marketing Strategy
17.1.19. MyDx, Inc
17.1.19.1. Overview
17.1.19.2. Product Portfolio
17.1.19.3. Profitability by Market Segments
17.1.19.4. Sales Footprint
17.1.19.5. Strategy Overview
17.1.19.5.1. Marketing Strategy
18. Assumptions & Acronyms Used
19. Research Methodology
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