Market Survey on Plant Phenotyping Market Covering Sales Outlook, Up-to-date Key Trends, Production and Consumption Statistics, Market Size and Forecast Including New and Replacement Sales, Import and Export Analysis, Installed Base Analysis, Trade Scenario Analysis, Company Share and Pricing Analysis
An In-depth Market Insights of Plant Phenotyping Market including Growth Chambers/Phytotrons, Imaging Systems, Robotics and Automation, and Phenomobiles Covering 30+ Countries like United States, United Kingdom, Germany, France, Norway, Sweden, Saudi Arabia, United Arab Emirates, Japan, Korea, Australia, New Zealand, and Others
The global plant phenotyping market size is expected to be valued at US$ 175.9 million in 2023. Expansion of cloud computing and data analytics, bolsters the overall scope for plant phenotyping market, which is projected to grow at a CAGR of 11.0% between 2023 and 2033, totaling around US$ 497.4 million by 2033.
Data Points
Key Statistics
Plant Phenotyping Market Value 2023
US$ 175.9 million
Plant Phenotyping Market Projected Value (2033)
US$ 497.4 million
Plant Phenotyping Market CAGR (2023 to 2033)
11.0%
According to the analysis of Future Market Insights, the adoption of artificial intelligence (AI) and machine learning (ML) techniques in plant phenotyping has brought significant advancements in the analysis and interpretation of phenotypic data. AI and ML algorithms enable automated and rapid data processing, feature extraction, and predictive modeling, revolutionizing the field of plant phenotyping.
Plant phenotyping generates large volumes of data, including images, sensor readings, and other measurements. AI and ML algorithms can process this data automatically, reducing the manual effort and time required for analysis. The algorithms can handle high-throughput phenotyping, enabling the efficient analysis of large-scale datasets. Automated data processing accelerates the phenotyping pipeline, allowing researchers and breeders to extract valuable insights and make informed decisions more quickly.
AI and ML algorithms excel in extracting meaningful features from complex datasets. In plant phenotyping, these algorithms can identify and extract relevant features from images, sensor data, or spectral information. ML algorithms, for instance, can analyze plant images and extract characteristics such as leaf area, plant height, or biomass. The extracted features provide quantitative information for plant growth, architecture, and physiological traits. AI and ML algorithms enable accurate and consistent feature extraction, overcoming subjective biases and human errors.
AI and ML techniques enable the development of predictive models that relate phenotypic data to various plant attributes or environmental conditions. The models can uncover patterns and relationships that may not be easily discernible through traditional statistical analysis. ML models, by training on historical data, can predict future plant performance, growth trajectories, or response to specific treatments or stressors. Predictive modeling empowers researchers and farmers to make data-driven decisions and optimize crop management strategies.
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Plant Phenotyping Demand Analysis (2018 to 2022) Vs Market Outlook (2023 to 2033)
The global demand for plant phenotyping is projected to increase at a CAGR of 6.1% during the forecast period between 2018 and 2022, reaching a total of US$ 497.4 million in 2033.
According to Future Market Insights, a market research and competitive intelligence provider, the plant phenotyping market was valued at US$ 156.5 million in 2022.
The increasing research focus in plant sciences has led to significant investments in plant phenotyping research, which is expected to drive the growth of the plant phenotyping market. Plant phenotyping plays a vital role in crop improvement and breeding programs. Researchers are increasingly interested in developing crop varieties that possess desirable traits such as high yield, disease resistance, drought tolerance, and nutritional quality.
Plant phenotyping provides a comprehensive understanding of plant traits, growth patterns, and responses to environmental factors. Researchers, by analyzing phenotypic data can identify and select plants with desired traits, accelerating the breeding process and the development of improved crop varieties. The demand for advanced plant phenotyping technologies and tools is growing to support these research efforts.
Climate change poses significant challenges to global food security and agriculture. Researchers are actively investigating ways to enhance the resilience of crops to changing environmental conditions. Plant phenotyping is crucial in studying plant responses to climate change-related factors such as heat stress, water scarcity, elevated CO2 levels, and changing pest and disease dynamics. Researchers, by analyzing phenotypic data, can identify plant traits associated with resilience and develop strategies to breed climate-resilient crops. The research focus drives the demand for plant phenotyping solutions that can accurately capture and analyze plant responses to changing environmental conditions.
Phenotyping research allows scientists to study the complex interactions between plants and their environment. Researchers, by analyzing how plants respond to different environmental factors, gain insights into the underlying mechanisms that govern plant growth, development, and stress responses. The knowledge contributes to the development of sustainable agricultural practices, optimized resource allocation, and effective crop management strategies. The demand for advanced plant phenotyping technologies and methodologies increases, as researchers strive to deepen their understanding of plant-environment interactions.
Which Drivers Underpin Plant Phenotyping Industry Expansion?
Advancements in Imaging Technologies to Fuel the Market Growth
Advancements in imaging technologies have significantly contributed to the improvement of plant phenotyping by enhancing the accuracy, efficiency, and data quality of plant analysis and characterization. Hyperspectral imaging involves capturing images across a wide range of narrow contiguous spectral bands. Hyperspectral imaging, unlike traditional RGB imaging, provides a more detailed spectral profile of plants, enabling the identification and analysis of specific biochemical and physiological characteristics. It allows researchers to detect subtle variations in plant health, nutrient content, water stress, and disease symptoms. Researchers, by analyzing hyperspectral data, can gain insights into plant physiology and make informed decisions regarding crop management practices.
Traditional imaging techniques provide 2D representations of plants, which may limit the ability to accurately capture plant architecture and growth patterns. 3D imaging techniques, such as structured light scanning or laser scanning, enable the creation of high-resolution 3D models of plants, which allows for the precise measurement of plant height, volume, leaf area, branching patterns, and biomass distribution. Researchers can analyze these 3D models to understand plant growth dynamics, optimize plant breeding strategies, and assess the impact of environmental factors on plant development.
Drones equipped with imaging sensors have revolutionized plant phenotyping by providing a flexible and scalable solution for data collection over large agricultural areas. Drone-based imaging enables the monitoring of crops in real-time and at high spatial resolution, with the ability to capture images from various altitudes and angles. It allows for the rapid assessment of crop health, detection of stress factors, and identification of variability within fields. Drone-based imaging also facilitates the timely implementation of precision agriculture practices, such as targeted fertilization or irrigation, based on the obtained data.
Increasing Focus on Precision Agriculture to Accelerate the Market Growth
Precision agriculture involves the precise management of resources, such as water, fertilizers, pesticides, and seeds, to maximize crop productivity while minimizing input wastage and environmental impacts. Plant phenotyping plays a crucial role in enabling precision agriculture by providing essential data and insights for informed decision-making. Plant phenotyping allows for the continuous and non-destructive monitoring of crop health throughout the growing season. Phenotyping, by capturing data on plant morphology, physiology, and biochemical traits, provides insights into the overall health status of plants. The insights help identify early signs of stress, nutrient deficiencies, diseases, or pest infestations. Farmers, with this information, can take timely corrective measures, such as targeted application of fertilizers or pesticides, to prevent yield losses and maintain crop health.
Plant phenotyping enables the identification and characterization of stress factors affecting crops, such as drought, salinity, heat, or cold stress. Phenotyping, by monitoring plant responses to these stressors, provides valuable information on stress tolerance, adaptive mechanisms, and critical growth stages of crops. The monitoring helps farmers to implement site-specific management strategies and allocate resources effectively to mitigate the adverse effects of stress, ensuring optimal crop growth and productivity.
Precise resource allocation is a key objective of precision agriculture. Plant phenotyping data, combined with other geospatial and environmental data, can be used to create detailed maps of crop variability within fields. The maps help identify areas with varying nutrient requirements, water-holding capacity, or pest pressure. Farmers, by tailoring resource application based on these spatial variations, can optimize the use of fertilizers, water, and other inputs, reducing waste and minimizing environmental impact while maximizing crop yield.
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Which Factors are limiting the Growth of Plant Phenotyping Market?
High Initial Investment Cost to Restrain the Market Growth
The high initial investment costs associated with plant phenotyping technologies can present a significant barrier to the adoption and utilization of these advanced tools, especially for small-scale research institutions, agricultural organizations, and farmers with limited financial resources.
Implementing plant phenotyping technologies often requires the establishment of specialized infrastructure and facilities, which includes constructing or retrofitting greenhouse or growth chamber facilities with controlled environments, lighting systems, and temperature and humidity controls. Field-based phenotyping may require the setup of experimental plots or field stations equipped with sensor networks and data collection systems. The construction or modification of such infrastructure involves significant capital investment.
Plant phenotyping relies on a wide range of equipment and imaging systems to capture and analyze plant data, which includes high-resolution cameras, multispectral or hyperspectral imaging systems, lidar devices, spectrometers, and specialized sensors to measure plant characteristics such as biomass, leaf area, chlorophyll content, and water potential. These equipment and imaging systems can be expensive, especially when considering the need for high-quality and reliable instruments for accurate data acquisition.
Plant phenotyping often involves the use of various sensors to monitor environmental conditions and plant responses. The sensors can include temperature and humidity sensors, soil moisture sensors, nutrient sensors, gas analyzers, and weather stations. The cost of acquiring and maintaining these sensors can be significant, particularly when multiple sensors are required for comprehensive phenotyping studies.
Region-wise Insights
Will North America Continue Dominance in the Global Plant Phenotyping Market?
Favorable Government Initiatives in North America to Fuel the Market Growth
The plant phenotyping market in North America is expected to accumulate a prominent CAGR of 10.9% in 2023.
The regional market growth is attributed to the factors such as the favorable government initiatives and funding. Governments in North America have been actively supporting agricultural research and development initiatives. They have been providing grants, funding programs, and incentives to promote innovation in agriculture and address food security challenges. Such support and funding for plant phenotyping research and technology development drive the growth of the sector by enabling the establishment of advanced phenotyping infrastructure and encouraging research collaboration. The market in the United States is anticipated to reach at US$ 87 million by 2033.
United States Department of Agriculture (USDA) offers various grant programs and funding opportunities to support agricultural research and innovation. For instance, the USDA's National Institute of Food and Agriculture (NIFA) provides grants through programs like the Agriculture and Food Research Initiative (AFRI). The programs include funding streams for plant phenotyping research and technology development, enabling researchers to advance the field.
North America is home to renowned research institutions and academic centers that focus on plant sciences and agricultural research. The institutions have the expertise, facilities, and resources necessary for conducting cutting-edge plant phenotyping research. The presence of strong research and academic institutions contributes to the growth of plant phenotyping by fostering innovation, attracting talent, and facilitating collaborations with industry partners.
North America has a well-established technology and innovation ecosystem, with numerous companies and startups actively engaged in developing plant phenotyping technologies. Technological advancements, such as high-resolution imaging systems, sensor networks, and data analysis algorithms, enhance the efficiency and accuracy of plant phenotyping. Collaboration between industry players, research institutions, and agricultural organizations further drives innovation and accelerates the adoption of advanced plant phenotyping solutions.
How Will Growth of the Plant Phenotyping Market unfold in Asia Pacific?
Technological Advancements in the Region to Fuel the Market Growth
The plant phenotyping market in Asia Pacific is expected to accumulate a significant CAGR of 10.8% in 2023.
The Asia Pacific plant phenotyping market is expected to witness significant growth attributed to the increasing population and food demand. The region is experiencing rapid population growth and increasing food demand. To address food security challenges, there is a growing need for improved crop productivity, crop resilience, and sustainable agricultural practices. Plant phenotyping technologies play a crucial role in achieving these goals by providing insights into plant performance, stress tolerance, and crop improvement strategies.
The region is witnessing significant technological advancements in various fields, including imaging technology, sensor technology, and data analytics. The advancements contribute to the development of advanced plant phenotyping techniques and tools. Collaborations between research institutions, academia, and industry players foster innovation, accelerate technology transfer, and drive the growth of the plant phenotyping market in the region.
The Asia Pacific region is vulnerable to the impacts of climate change, including changing rainfall patterns, temperature extremes, and increased pest and disease pressures. There is a growing emphasis on developing climate-resilient crops and sustainable agricultural practices. Plant phenotyping plays a crucial role in understanding plant responses to climate stresses and identifying traits that can enhance crop resilience.
The adoption of precision agriculture techniques is increasing in the region as farmers seek to optimize resource utilization, minimize environmental impact, and increase farm efficiency. Plant phenotyping provides valuable data for precision agriculture applications, such as targeted nutrient management, irrigation optimization, and disease detection. The integration of plant phenotyping technologies in precision agriculture practices drives the demand for advanced phenotyping solutions.
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Category-wise Insights
By Equipment, which Plant Phenotyping Category will remain prominent?
Imaging Systems Segment to beat Competition in Untiring Market
On the basis of equipment, the market is dominated by imaging systems segment, which is expected to hold a CAGR of 10.8% over the analysis period.
Continuous advancements in imaging technologies, such as hyperspectral imaging, multispectral imaging, thermal imaging, and fluorescence imaging, are driving the growth of this segment. The technologies allow for the capture of detailed information about various plant characteristics, including chlorophyll content, water stress, disease symptoms, and canopy structure. The development of high-resolution imaging systems with improved accuracy and speed enhances the capabilities of plant phenotyping and contributes to the segment's growth.
Imaging systems offer non-destructive data collection, allowing repeated measurements on the same plants over time without harming the samples. The non-destructive nature is particularly beneficial for longitudinal studies and enables researchers to track plant growth and development continuously. Imaging systems can capture data from multiple plants simultaneously, facilitating high-throughput phenotyping, which is crucial for large-scale experiments and breeding programs.
Imaging systems generate vast amounts of image data that require sophisticated analysis techniques. The integration of advanced analytics, such as image processing algorithms, computer vision, and machine learning, enhances the interpretation and extraction of meaningful insights from imaging data. The techniques enable the identification of specific plant traits, disease symptoms, stress factors, and growth patterns, driving the adoption of imaging systems for plant phenotyping applications.
Imaging systems are versatile and can be applied to various phenotyping approaches, including leaf-level phenotyping, canopy-level phenotyping, and root phenotyping. They provide a comprehensive view of plant performance and enable the assessment of multiple phenotypic traits simultaneously. The flexibility and scalability of imaging systems make them suitable for different research objectives and contribute to their increasing adoption in plant phenotyping.
By Software, which Plant Phenotyping Category to dominate?
Data Management & Integration Software Segment to Drive the Plant Phenotyping Market
Based on the software, the commercial segment is expected to expand at rapid rate of 10.7% CAGR over the analysis period.
The segmental growth can be attributed to the increasing number of efficient data organization and integration. Plant phenotyping involves the collection of diverse data types, including imaging data, sensor data, genomic data, environmental data, and metadata. Data management software provides tools and functionalities to organize and integrate these heterogeneous data types into a unified database. Efficient data organization and integration enable researchers to access and analyze comprehensive datasets, leading to a more holistic understanding of plant performance and traits.
Plant phenotyping experiments generate large volumes of data, requiring scalable and secure storage solutions. Data management software facilitates the storage and retrieval of phenotypic data, ensuring data integrity and accessibility. Scalable and secure data storage capabilities are crucial in managing and archiving phenotypic data for future reference, collaboration, and reproducibility of experiments.
Phenotypic data collected from different sources or experiments may have variations and inconsistencies. Data management software provides functionalities to perform quality control checks, data cleaning, and standardization procedures. The capabilities ensure the accuracy and reliability of phenotypic data, enabling researchers to make informed decisions based on high-quality data.
Data management software that can integrate with other phenotyping tools, imaging systems, or analytical platforms provides seamless workflows and data exchange capabilities. Integration with imaging analysis software, statistical analysis software, or genomic analysis tools allows for efficient data transfer and analysis, streamlining the phenotyping workflow and enhancing collaboration among researchers.
The Start-Up Ecosystem: How key Players are opening Frontiers for Future Growth?
Plant phenotyping market startup players are adopting various marketing strategies such as new product launches, geographical expansion, merger and acquisitions, partnerships and collaboration to create a larger customer base. For instance,
Started in 2016, Aspera Technologies is a United Kingdom based startup that develops phenotyping platforms for the agricultural industry. The company's platforms are used by farmers, researchers, and government agencies to improve crop yields and reduce crop losses.
Founded in 2015, PhenotypeX is a Canadian company that develops phenotyping platforms for research and commercial use. The company's platforms are used by universities, governments, and private companies to study plant growth and development.
Established in 2013, Aerobotics is a South African startup company that uses drones to collect data on plant health. The company's data is used by farmers to improve crop yields and reduce crop losses.
Who are the Leading Players in the Plant Phenotyping Market?
Prominent players in the plant phenotyping market are LemnaTec GmbH, Qubit Systems Inc., Phenospex B.V., Keygene N.V., Rothamsted Research, CropDesign (a BASF company), Lemnatec Corp., Phenomix AG, PSI - Plant Phenotyping and Imaging Research Centre, and Heinz Walz GmbH, among others.
Recent Developments:
In 2023, Delta-T Devices launched the Delta-T FieldSpec® X5 portable phenotyping system. The system is an upgraded version of the Delta-T FieldSpec® X4 system and includes new features such as a thermal camera and a wider range of sensors.
In the same year, KeyGene launched the KeyGene Phenotyping Suite 2.0. The suite is a software platform that helps researchers and growers to design, conduct, and analyze plant phenotyping experiments. The suite includes new features such as a module for simulating the effects of climate change on plant growth.
In 2023, OptiSens launched the OptiSens Canopy Sensor 2.0. The sensor is a non-intrusive sensor that measures canopy light interception and photosynthesis. The sensor has been upgraded to include a new algorithm that can more accurately measure these parameters.
In 2022, BASF partnered with Bayer CropScience to develop new phenotyping technologies for the agricultural industry. The partnership will focus on developing technologies that can be used to improve crop yields and reduce crop losses.
Report Scope
Attribute
Details
Growth Rate
CAGR of 11.0% from 2023 to 2033
Market Value in 2023
US$ 175.9 million
Market Value in 2033
US$ 497.4 million
Base Year for Estimation
2022
Historical Data
2018 to 2022
Forecast Period
2023 to 2033
Quantitative Units
Revenue in US$ million and CAGR from 2023 to 2033
Report Coverage
Revenue Forecast, Company Ranking, Competitive Landscape, Growth Factors, Trends and Pricing Analysis
Segments Covered
Equipment
Software
Sensors
Regions Covered
North America
Latin America
Europe
South Asia
East Asia
Oceania
Middle East & Africa
Key Countries Profiled
Germany
United Kingdom
France
Spain
Italy
Rest of Europe
United States
Canada
Brazil
Mexico
India
China
Japan
South Korea
Singapore
Thailand
Indonesia
Australia
New Zealand
Rest of Asia Pacific
Key Companies Profiled
LemnaTec GmbH
Qubit Systems Inc.
Phenospex B.V.
Keygene N.V.
Rothamsted Research
CropDesign (a BASF company)
Lemnatec Corp.
Phenomix AG
PSI- Plant Phenotyping and Imaging Research Centre
Heinz Walz GmbH
Key Segments Covered in the Plant Phenotyping Industry Analysis
Plant Phenotyping Market by Equipment:
Growth Chambers/Phytotrons
Imaging Systems
Robotics and Automation
Phenomobiles
Plant Phenotyping Market by Software:
Imaging Analysis Software
Data Management & Integration Software
Statistical Analysis and Modeling Software
Plant Phenotyping Market by Sensors:
Environmental Sensors
Physiological Sensors
Spectral Sensors
Plant Phenotyping Market by Region:
North America
Latin America
Europe
South Asia
East Asia
Oceania
Middle East & Africa
Frequently Asked Questions
What is the Forecast Growth Rate for Global Plant Phenotyping Market Services?
The global demand for plant phenotyping services is forecasted to rise at 11% CAGR through 2033.
What is the Predicted Plant Phenotyping Market Size for 2033?
The global plant phenotyping market could reach a value of US$ 497.4 million by 2033.
What is the Share of the United States in the Whole Global Plant Phenotyping Market?
The United States is expected to lead the overall market by acquiring US$ 87 million by 2033.
What is the Contribution of Asia Pacific in Growth of Global Plant Phenotyping Market?
Asia Pacific market could grow at 10.8% CAGR through 2033 due to rising industrialization.
Where is the Requirement of Plant Phenotyping Growing at a Faster Rate by Software?
The commercial software segment is poised to witness an increment at 10.7% per year until 2033.
Table of Content
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 Market Analysis 2018 to 2022 and Forecast, 2023 to 2033
4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022
4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Equipment
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Million) Analysis By Equipment, 2018 to 2022
5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Equipment, 2023 to 2033
5.3.1. Growth Chambers/Phytotrons
5.3.2. Imaging Systems
5.3.3. Robotics and Automation
5.3.4. Phenomobiles
5.4. Y-o-Y Growth Trend Analysis By Equipment, 2018 to 2022
5.5. Absolute $ Opportunity Analysis By Equipment, 2023 to 2033
6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Software
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Million) Analysis By Software, 2018 to 2022
6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Software, 2023 to 2033
6.3.1. Image Analysis Software
6.3.2. Data Management and Integration Software
6.3.3. Statistical Analysis and Modeling Software
6.4. Y-o-Y Growth Trend Analysis By Software, 2018 to 2022
6.5. Absolute $ Opportunity Analysis By Software, 2023 to 2033
7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Sensors
7.1. Introduction / Key Findings
7.2. Historical Market Size Value (US$ Million) Analysis by Sensors, 2018 to 2022
7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast by Sensors, 2023 to 2033
7.3.1. Environmental Sensors
7.3.2. Physiological Sensors
7.3.3. Spectral Sensors
7.4. Y-o-Y Growth Trend Analysis by Sensors, 2018 to 2022
7.5. Absolute $ Opportunity Analysis by Sensors, 2023 to 2033
8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region
8.1. Introduction
8.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022
8.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033
8.3.1. North America
8.3.2. Latin America
8.3.3. Europe
8.3.4. South Asia
8.3.5. East Asia
8.3.6. Oceania
8.3.7. MEA
8.4. Market Attractiveness Analysis By Region
9. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
9.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
9.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
9.2.1. By Country
9.2.1.1. The USA
9.2.1.2. Canada
9.2.2. By Equipment
9.2.3. By Software
9.2.4. By Sensors
9.3. Market Attractiveness Analysis
9.3.1. By Country
9.3.2. By Equipment
9.3.3. By Software
9.3.4. By Sensors
9.4. Key Takeaways
10. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
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 Equipment
10.2.3. By Software
10.2.4. By Sensors
10.3. Market Attractiveness Analysis
10.3.1. By Country
10.3.2. By Equipment
10.3.3. By Software
10.3.4. By Sensors
10.4. Key Takeaways
11. Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
11.2.1. By Country
11.2.1.1. Germany
11.2.1.2. United Kingdom
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 Equipment
11.2.3. By Software
11.2.4. By Sensors
11.3. Market Attractiveness Analysis
11.3.1. By Country
11.3.2. By Equipment
11.3.3. By Software
11.3.4. By Sensors
11.4. Key Takeaways
12. South Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
12.2.1. By Country
12.2.1.1. India
12.2.1.2. Malaysia
12.2.1.3. Singapore
12.2.1.4. Thailand
12.2.1.5. Rest of South Asia
12.2.2. By Equipment
12.2.3. By Software
12.2.4. By Sensors
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By Equipment
12.3.3. By Software
12.3.4. By Sensors
12.4. Key Takeaways
13. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
13.2.1. By Country
13.2.1.1. China
13.2.1.2. Japan
13.2.1.3. South Korea
13.2.2. By Equipment
13.2.3. By Software
13.2.4. By Sensors
13.3. Market Attractiveness Analysis
13.3.1. By Country
13.3.2. By Equipment
13.3.3. By Software
13.3.4. By Sensors
13.4. Key Takeaways
14. Oceania Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
14.2.1. By Country
14.2.1.1. Australia
14.2.1.2. New Zealand
14.2.2. By Equipment
14.2.3. By Software
14.2.4. By Sensors
14.3. Market Attractiveness Analysis
14.3.1. By Country
14.3.2. By Equipment
14.3.3. By Software
14.3.4. By Sensors
14.4. Key Takeaways
15. MEA Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
15.2.1. By Country
15.2.1.1. GCC Countries
15.2.1.2. South Africa
15.2.1.3. Israel
15.2.1.4. Rest of MEA
15.2.2. By Equipment
15.2.3. By Software
15.2.4. By Sensors
15.3. Market Attractiveness Analysis
15.3.1. By Country
15.3.2. By Equipment
15.3.3. By Software
15.3.4. By Sensors
15.4. Key Takeaways
16. Key Countries Market Analysis
16.1. USA
16.1.1. Pricing Analysis
16.1.2. Market Share Analysis, 2022
16.1.2.1. By Equipment
16.1.2.2. By Software
16.1.2.3. By Sensors
16.2. Canada
16.2.1. Pricing Analysis
16.2.2. Market Share Analysis, 2022
16.2.2.1. By Equipment
16.2.2.2. By Software
16.2.2.3. By Sensors
16.3. Brazil
16.3.1. Pricing Analysis
16.3.2. Market Share Analysis, 2022
16.3.2.1. By Equipment
16.3.2.2. By Software
16.3.2.3. By Sensors
16.4. Mexico
16.4.1. Pricing Analysis
16.4.2. Market Share Analysis, 2022
16.4.2.1. By Equipment
16.4.2.2. By Software
16.4.2.3. By Sensors
16.5. Germany
16.5.1. Pricing Analysis
16.5.2. Market Share Analysis, 2022
16.5.2.1. By Equipment
16.5.2.2. By Software
16.5.2.3. By Sensors
16.6. United Kingdom
16.6.1. Pricing Analysis
16.6.2. Market Share Analysis, 2022
16.6.2.1. By Equipment
16.6.2.2. By Software
16.6.2.3. By Sensors
16.7. France
16.7.1. Pricing Analysis
16.7.2. Market Share Analysis, 2022
16.7.2.1. By Equipment
16.7.2.2. By Software
16.7.2.3. By Sensors
16.8. Spain
16.8.1. Pricing Analysis
16.8.2. Market Share Analysis, 2022
16.8.2.1. By Equipment
16.8.2.2. By Software
16.8.2.3. By Sensors
16.9. Italy
16.9.1. Pricing Analysis
16.9.2. Market Share Analysis, 2022
16.9.2.1. By Equipment
16.9.2.2. By Software
16.9.2.3. By Sensors
16.10. India
16.10.1. Pricing Analysis
16.10.2. Market Share Analysis, 2022
16.10.2.1. By Equipment
16.10.2.2. By Software
16.10.2.3. By Sensors
16.11. Malaysia
16.11.1. Pricing Analysis
16.11.2. Market Share Analysis, 2022
16.11.2.1. By Equipment
16.11.2.2. By Software
16.11.2.3. By Sensors
16.12. Singapore
16.12.1. Pricing Analysis
16.12.2. Market Share Analysis, 2022
16.12.2.1. By Equipment
16.12.2.2. By Software
16.12.2.3. By Sensors
16.13. Thailand
16.13.1. Pricing Analysis
16.13.2. Market Share Analysis, 2022
16.13.2.1. By Equipment
16.13.2.2. By Software
16.13.2.3. By Sensors
16.14. China
16.14.1. Pricing Analysis
16.14.2. Market Share Analysis, 2022
16.14.2.1. By Equipment
16.14.2.2. By Software
16.14.2.3. By Sensors
16.15. Japan
16.15.1. Pricing Analysis
16.15.2. Market Share Analysis, 2022
16.15.2.1. By Equipment
16.15.2.2. By Software
16.15.2.3. By Sensors
16.16. South Korea
16.16.1. Pricing Analysis
16.16.2. Market Share Analysis, 2022
16.16.2.1. By Equipment
16.16.2.2. By Software
16.16.2.3. By Sensors
16.17. Australia
16.17.1. Pricing Analysis
16.17.2. Market Share Analysis, 2022
16.17.2.1. By Equipment
16.17.2.2. By Software
16.17.2.3. By Sensors
16.18. New Zealand
16.18.1. Pricing Analysis
16.18.2. Market Share Analysis, 2022
16.18.2.1. By Equipment
16.18.2.2. By Software
16.18.2.3. By Sensors
16.19. GCC Countries
16.19.1. Pricing Analysis
16.19.2. Market Share Analysis, 2022
16.19.2.1. By Equipment
16.19.2.2. By Software
16.19.2.3. By Sensors
16.20. South Africa
16.20.1. Pricing Analysis
16.20.2. Market Share Analysis, 2022
16.20.2.1. By Equipment
16.20.2.2. By Software
16.20.2.3. By Sensors
16.21. Israel
16.21.1. Pricing Analysis
16.21.2. Market Share Analysis, 2022
16.21.2.1. By Equipment
16.21.2.2. By Software
16.21.2.3. By Sensors
17. Market Structure Analysis
17.1. Competition Dashboard
17.2. Competition Benchmarking
17.3. Market Share Analysis of Top Players
17.3.1. By Regional
17.3.2. By Equipment
17.3.3. By Software
17.3.4. By Sensors
18. Competition Analysis
18.1. Competition Deep Dive
18.1.1. LemnaTec GmbH
18.1.1.1. Overview
18.1.1.2. Product Portfolio
18.1.1.3. Profitability by Market Segments
18.1.1.4. Sales Footprint
18.1.1.5. Strategy Overview
18.1.1.5.1. Marketing Strategy
18.1.2. Qubit Systems Inc.
18.1.2.1. Overview
18.1.2.2. Product Portfolio
18.1.2.3. Profitability by Market Segments
18.1.2.4. Sales Footprint
18.1.2.5. Strategy Overview
18.1.2.5.1. Marketing Strategy
18.1.3. Phenospex B.V.
18.1.3.1. Overview
18.1.3.2. Product Portfolio
18.1.3.3. Profitability by Market Segments
18.1.3.4. Sales Footprint
18.1.3.5. Strategy Overview
18.1.3.5.1. Marketing Strategy
18.1.4. Keygene N.V.
18.1.4.1. Overview
18.1.4.2. Product Portfolio
18.1.4.3. Profitability by Market Segments
18.1.4.4. Sales Footprint
18.1.4.5. Strategy Overview
18.1.4.5.1. Marketing Strategy
18.1.5. Rothamsted Research
18.1.5.1. Overview
18.1.5.2. Product Portfolio
18.1.5.3. Profitability by Market Segments
18.1.5.4. Sales Footprint
18.1.5.5. Strategy Overview
18.1.5.5.1. Marketing Strategy
18.1.6. CropDesign (a BASF company)
18.1.6.1. Overview
18.1.6.2. Product Portfolio
18.1.6.3. Profitability by Market Segments
18.1.6.4. Sales Footprint
18.1.6.5. Strategy Overview
18.1.6.5.1. Marketing Strategy
18.1.7. Lemnatec Corp.
18.1.7.1. Overview
18.1.7.2. Product Portfolio
18.1.7.3. Profitability by Market Segments
18.1.7.4. Sales Footprint
18.1.7.5. Strategy Overview
18.1.7.5.1. Marketing Strategy
18.1.8. Phenomix AG
18.1.8.1. Overview
18.1.8.2. Product Portfolio
18.1.8.3. Profitability by Market Segments
18.1.8.4. Sales Footprint
18.1.8.5. Strategy Overview
18.1.8.5.1. Marketing Strategy
18.1.9. PSI - and Imaging Research Centre
18.1.9.1. Overview
18.1.9.2. Product Portfolio
18.1.9.3. Profitability by Market Segments
18.1.9.4. Sales Footprint
18.1.9.5. Strategy Overview
18.1.9.5.1. Marketing Strategy
18.1.10. Heinz Walz GmbH
18.1.10.1. Overview
18.1.10.2. Product Portfolio
18.1.10.3. Profitability by Market Segments
18.1.10.4. Sales Footprint
18.1.10.5. Strategy Overview
18.1.10.5.1. Marketing Strategy
19. Assumptions & Acronyms Used20. Research Methodology
List of Tables
Table 1: Global Market Value (US$ Million) Forecast by Region, 2018 to 2033
Table 2: Global Market Value (US$ Million) Forecast by Equipment, 2018 to 2033
Table 3: Global Market Value (US$ Million) Forecast by Software, 2018 to 2033
Table 4: Global Market Value (US$ Million) Forecast by Sensors, 2018 to 2033
Table 5: North America Market Value (US$ Million) Forecast by Country, 2018 to 2033
Table 6: North America Market Value (US$ Million) Forecast by Equipment, 2018 to 2033
Table 7: North America Market Value (US$ Million) Forecast by Software, 2018 to 2033
Table 8: North America Market Value (US$ Million) Forecast by Sensors, 2018 to 2033
Table 9: Latin America Market Value (US$ Million) Forecast by Country, 2018 to 2033
Table 10: Latin America Market Value (US$ Million) Forecast by Equipment, 2018 to 2033
Table 11: Latin America Market Value (US$ Million) Forecast by Software, 2018 to 2033
Table 12: Latin America Market Value (US$ Million) Forecast by Sensors, 2018 to 2033
Table 13: Europe Market Value (US$ Million) Forecast by Country, 2018 to 2033
Table 14: Europe Market Value (US$ Million) Forecast by Equipment, 2018 to 2033
Table 15: Europe Market Value (US$ Million) Forecast by Software, 2018 to 2033
Table 16: Europe Market Value (US$ Million) Forecast by Sensors, 2018 to 2033
Table 17: South Asia Market Value (US$ Million) Forecast by Country, 2018 to 2033
Table 18: South Asia Market Value (US$ Million) Forecast by Equipment, 2018 to 2033
Table 19: South Asia Market Value (US$ Million) Forecast by Software, 2018 to 2033
Table 20: South Asia Market Value (US$ Million) Forecast by Sensors, 2018 to 2033
Table 21: East Asia Market Value (US$ Million) Forecast by Country, 2018 to 2033
Table 22: East Asia Market Value (US$ Million) Forecast by Equipment, 2018 to 2033
Table 23: East Asia Market Value (US$ Million) Forecast by Software, 2018 to 2033
Table 24: East Asia Market Value (US$ Million) Forecast by Sensors, 2018 to 2033
Table 25: Oceania Market Value (US$ Million) Forecast by Country, 2018 to 2033
Table 26: Oceania Market Value (US$ Million) Forecast by Equipment, 2018 to 2033
Table 27: Oceania Market Value (US$ Million) Forecast by Software, 2018 to 2033
Table 28: Oceania Market Value (US$ Million) Forecast by Sensors, 2018 to 2033
Table 29: MEA Market Value (US$ Million) Forecast by Country, 2018 to 2033
Table 30: MEA Market Value (US$ Million) Forecast by Equipment, 2018 to 2033
Table 31: MEA Market Value (US$ Million) Forecast by Software, 2018 to 2033
Table 32: MEA Market Value (US$ Million) Forecast by Sensors, 2018 to 2033
List of Charts
Figure 1: Global Market Value (US$ Million) by Equipment, 2023 to 2033
Figure 2: Global Market Value (US$ Million) by Software, 2023 to 2033
Figure 3: Global Market Value (US$ Million) by Sensors, 2023 to 2033
Figure 4: Global Market Value (US$ Million) by Region, 2023 to 2033
Figure 5: Global Market Value (US$ Million) Analysis by Region, 2018 to 2033
Figure 6: Global Market Value Share (%) and BPS Analysis by Region, 2023 to 2033
Figure 7: Global Market Y-o-Y Growth (%) Projections by Region, 2023 to 2033
Figure 8: Global Market Value (US$ Million) Analysis by Equipment, 2018 to 2033
Figure 9: Global Market Value Share (%) and BPS Analysis by Equipment, 2023 to 2033
Figure 10: Global Market Y-o-Y Growth (%) Projections by Equipment, 2023 to 2033
Figure 11: Global Market Value (US$ Million) Analysis by Software, 2018 to 2033
Figure 12: Global Market Value Share (%) and BPS Analysis by Software, 2023 to 2033
Figure 13: Global Market Y-o-Y Growth (%) Projections by Software, 2023 to 2033
Figure 14: Global Market Value (US$ Million) Analysis by Sensors, 2018 to 2033
Figure 15: Global Market Value Share (%) and BPS Analysis by Sensors, 2023 to 2033
Figure 16: Global Market Y-o-Y Growth (%) Projections by Sensors, 2023 to 2033
Figure 17: Global Market Attractiveness by Equipment, 2023 to 2033
Figure 18: Global Market Attractiveness by Software, 2023 to 2033
Figure 19: Global Market Attractiveness by Sensors, 2023 to 2033
Figure 20: Global Market Attractiveness by Region, 2023 to 2033
Figure 21: North America Market Value (US$ Million) by Equipment, 2023 to 2033
Figure 22: North America Market Value (US$ Million) by Software, 2023 to 2033
Figure 23: North America Market Value (US$ Million) by Sensors, 2023 to 2033
Figure 24: North America Market Value (US$ Million) by Country, 2023 to 2033
Figure 25: North America Market Value (US$ Million) Analysis by Country, 2018 to 2033
Figure 26: North America Market Value Share (%) and BPS Analysis by Country, 2023 to 2033
Figure 27: North America Market Y-o-Y Growth (%) Projections by Country, 2023 to 2033
Figure 28: North America Market Value (US$ Million) Analysis by Equipment, 2018 to 2033
Figure 29: North America Market Value Share (%) and BPS Analysis by Equipment, 2023 to 2033
Figure 30: North America Market Y-o-Y Growth (%) Projections by Equipment, 2023 to 2033
Figure 31: North America Market Value (US$ Million) Analysis by Software, 2018 to 2033
Figure 32: North America Market Value Share (%) and BPS Analysis by Software, 2023 to 2033
Figure 33: North America Market Y-o-Y Growth (%) Projections by Software, 2023 to 2033
Figure 34: North America Market Value (US$ Million) Analysis by Sensors, 2018 to 2033
Figure 35: North America Market Value Share (%) and BPS Analysis by Sensors, 2023 to 2033
Figure 36: North America Market Y-o-Y Growth (%) Projections by Sensors, 2023 to 2033
Figure 37: North America Market Attractiveness by Equipment, 2023 to 2033
Figure 38: North America Market Attractiveness by Software, 2023 to 2033
Figure 39: North America Market Attractiveness by Sensors, 2023 to 2033
Figure 40: North America Market Attractiveness by Country, 2023 to 2033
Figure 41: Latin America Market Value (US$ Million) by Equipment, 2023 to 2033
Figure 42: Latin America Market Value (US$ Million) by Software, 2023 to 2033
Figure 43: Latin America Market Value (US$ Million) by Sensors, 2023 to 2033
Figure 44: Latin America Market Value (US$ Million) by Country, 2023 to 2033
Figure 45: Latin America Market Value (US$ Million) Analysis by Country, 2018 to 2033
Figure 46: Latin America Market Value Share (%) and BPS Analysis by Country, 2023 to 2033
Figure 47: Latin America Market Y-o-Y Growth (%) Projections by Country, 2023 to 2033
Figure 48: Latin America Market Value (US$ Million) Analysis by Equipment, 2018 to 2033
Figure 49: Latin America Market Value Share (%) and BPS Analysis by Equipment, 2023 to 2033
Figure 50: Latin America Market Y-o-Y Growth (%) Projections by Equipment, 2023 to 2033
Figure 51: Latin America Market Value (US$ Million) Analysis by Software, 2018 to 2033
Figure 52: Latin America Market Value Share (%) and BPS Analysis by Software, 2023 to 2033
Figure 53: Latin America Market Y-o-Y Growth (%) Projections by Software, 2023 to 2033
Figure 54: Latin America Market Value (US$ Million) Analysis by Sensors, 2018 to 2033
Figure 55: Latin America Market Value Share (%) and BPS Analysis by Sensors, 2023 to 2033
Figure 56: Latin America Market Y-o-Y Growth (%) Projections by Sensors, 2023 to 2033
Figure 57: Latin America Market Attractiveness by Equipment, 2023 to 2033
Figure 58: Latin America Market Attractiveness by Software, 2023 to 2033
Figure 59: Latin America Market Attractiveness by Sensors, 2023 to 2033
Figure 60: Latin America Market Attractiveness by Country, 2023 to 2033
Figure 61: Europe Market Value (US$ Million) by Equipment, 2023 to 2033
Figure 62: Europe Market Value (US$ Million) by Software, 2023 to 2033
Figure 63: Europe Market Value (US$ Million) by Sensors, 2023 to 2033
Figure 64: Europe Market Value (US$ Million) by Country, 2023 to 2033
Figure 65: Europe Market Value (US$ Million) Analysis by Country, 2018 to 2033
Figure 66: Europe Market Value Share (%) and BPS Analysis by Country, 2023 to 2033
Figure 67: Europe Market Y-o-Y Growth (%) Projections by Country, 2023 to 2033
Figure 68: Europe Market Value (US$ Million) Analysis by Equipment, 2018 to 2033
Figure 69: Europe Market Value Share (%) and BPS Analysis by Equipment, 2023 to 2033
Figure 70: Europe Market Y-o-Y Growth (%) Projections by Equipment, 2023 to 2033
Figure 71: Europe Market Value (US$ Million) Analysis by Software, 2018 to 2033
Figure 72: Europe Market Value Share (%) and BPS Analysis by Software, 2023 to 2033
Figure 73: Europe Market Y-o-Y Growth (%) Projections by Software, 2023 to 2033
Figure 74: Europe Market Value (US$ Million) Analysis by Sensors, 2018 to 2033
Figure 75: Europe Market Value Share (%) and BPS Analysis by Sensors, 2023 to 2033
Figure 76: Europe Market Y-o-Y Growth (%) Projections by Sensors, 2023 to 2033
Figure 77: Europe Market Attractiveness by Equipment, 2023 to 2033
Figure 78: Europe Market Attractiveness by Software, 2023 to 2033
Figure 79: Europe Market Attractiveness by Sensors, 2023 to 2033
Figure 80: Europe Market Attractiveness by Country, 2023 to 2033
Figure 81: South Asia Market Value (US$ Million) by Equipment, 2023 to 2033
Figure 82: South Asia Market Value (US$ Million) by Software, 2023 to 2033
Figure 83: South Asia Market Value (US$ Million) by Sensors, 2023 to 2033
Figure 84: South Asia Market Value (US$ Million) by Country, 2023 to 2033
Figure 85: South Asia Market Value (US$ Million) Analysis by Country, 2018 to 2033
Figure 86: South Asia Market Value Share (%) and BPS Analysis by Country, 2023 to 2033
Figure 87: South Asia Market Y-o-Y Growth (%) Projections by Country, 2023 to 2033
Figure 88: South Asia Market Value (US$ Million) Analysis by Equipment, 2018 to 2033
Figure 89: South Asia Market Value Share (%) and BPS Analysis by Equipment, 2023 to 2033
Figure 90: South Asia Market Y-o-Y Growth (%) Projections by Equipment, 2023 to 2033
Figure 91: South Asia Market Value (US$ Million) Analysis by Software, 2018 to 2033
Figure 92: South Asia Market Value Share (%) and BPS Analysis by Software, 2023 to 2033
Figure 93: South Asia Market Y-o-Y Growth (%) Projections by Software, 2023 to 2033
Figure 94: South Asia Market Value (US$ Million) Analysis by Sensors, 2018 to 2033
Figure 95: South Asia Market Value Share (%) and BPS Analysis by Sensors, 2023 to 2033
Figure 96: South Asia Market Y-o-Y Growth (%) Projections by Sensors, 2023 to 2033
Figure 97: South Asia Market Attractiveness by Equipment, 2023 to 2033
Figure 98: South Asia Market Attractiveness by Software, 2023 to 2033
Figure 99: South Asia Market Attractiveness by Sensors, 2023 to 2033
Figure 100: South Asia Market Attractiveness by Country, 2023 to 2033
Figure 101: East Asia Market Value (US$ Million) by Equipment, 2023 to 2033
Figure 102: East Asia Market Value (US$ Million) by Software, 2023 to 2033
Figure 103: East Asia Market Value (US$ Million) by Sensors, 2023 to 2033
Figure 104: East Asia Market Value (US$ Million) by Country, 2023 to 2033
Figure 105: East Asia Market Value (US$ Million) Analysis by Country, 2018 to 2033
Figure 106: East Asia Market Value Share (%) and BPS Analysis by Country, 2023 to 2033
Figure 107: East Asia Market Y-o-Y Growth (%) Projections by Country, 2023 to 2033
Figure 108: East Asia Market Value (US$ Million) Analysis by Equipment, 2018 to 2033
Figure 109: East Asia Market Value Share (%) and BPS Analysis by Equipment, 2023 to 2033
Figure 110: East Asia Market Y-o-Y Growth (%) Projections by Equipment, 2023 to 2033
Figure 111: East Asia Market Value (US$ Million) Analysis by Software, 2018 to 2033
Figure 112: East Asia Market Value Share (%) and BPS Analysis by Software, 2023 to 2033
Figure 113: East Asia Market Y-o-Y Growth (%) Projections by Software, 2023 to 2033
Figure 114: East Asia Market Value (US$ Million) Analysis by Sensors, 2018 to 2033
Figure 115: East Asia Market Value Share (%) and BPS Analysis by Sensors, 2023 to 2033
Figure 116: East Asia Market Y-o-Y Growth (%) Projections by Sensors, 2023 to 2033
Figure 117: East Asia Market Attractiveness by Equipment, 2023 to 2033
Figure 118: East Asia Market Attractiveness by Software, 2023 to 2033
Figure 119: East Asia Market Attractiveness by Sensors, 2023 to 2033
Figure 120: East Asia Market Attractiveness by Country, 2023 to 2033
Figure 121: Oceania Market Value (US$ Million) by Equipment, 2023 to 2033
Figure 122: Oceania Market Value (US$ Million) by Software, 2023 to 2033
Figure 123: Oceania Market Value (US$ Million) by Sensors, 2023 to 2033
Figure 124: Oceania Market Value (US$ Million) by Country, 2023 to 2033
Figure 125: Oceania Market Value (US$ Million) Analysis by Country, 2018 to 2033
Figure 126: Oceania Market Value Share (%) and BPS Analysis by Country, 2023 to 2033
Figure 127: Oceania Market Y-o-Y Growth (%) Projections by Country, 2023 to 2033
Figure 128: Oceania Market Value (US$ Million) Analysis by Equipment, 2018 to 2033
Figure 129: Oceania Market Value Share (%) and BPS Analysis by Equipment, 2023 to 2033
Figure 130: Oceania Market Y-o-Y Growth (%) Projections by Equipment, 2023 to 2033
Figure 131: Oceania Market Value (US$ Million) Analysis by Software, 2018 to 2033
Figure 132: Oceania Market Value Share (%) and BPS Analysis by Software, 2023 to 2033
Figure 133: Oceania Market Y-o-Y Growth (%) Projections by Software, 2023 to 2033
Figure 134: Oceania Market Value (US$ Million) Analysis by Sensors, 2018 to 2033
Figure 135: Oceania Market Value Share (%) and BPS Analysis by Sensors, 2023 to 2033
Figure 136: Oceania Market Y-o-Y Growth (%) Projections by Sensors, 2023 to 2033
Figure 137: Oceania Market Attractiveness by Equipment, 2023 to 2033
Figure 138: Oceania Market Attractiveness by Software, 2023 to 2033
Figure 139: Oceania Market Attractiveness by Sensors, 2023 to 2033
Figure 140: Oceania Market Attractiveness by Country, 2023 to 2033
Figure 141: MEA Market Value (US$ Million) by Equipment, 2023 to 2033
Figure 142: MEA Market Value (US$ Million) by Software, 2023 to 2033
Figure 143: MEA Market Value (US$ Million) by Sensors, 2023 to 2033
Figure 144: MEA Market Value (US$ Million) by Country, 2023 to 2033
Figure 145: MEA Market Value (US$ Million) Analysis by Country, 2018 to 2033
Figure 146: MEA Market Value Share (%) and BPS Analysis by Country, 2023 to 2033
Figure 147: MEA Market Y-o-Y Growth (%) Projections by Country, 2023 to 2033
Figure 148: MEA Market Value (US$ Million) Analysis by Equipment, 2018 to 2033
Figure 149: MEA Market Value Share (%) and BPS Analysis by Equipment, 2023 to 2033
Figure 150: MEA Market Y-o-Y Growth (%) Projections by Equipment, 2023 to 2033
Figure 151: MEA Market Value (US$ Million) Analysis by Software, 2018 to 2033
Figure 152: MEA Market Value Share (%) and BPS Analysis by Software, 2023 to 2033
Figure 153: MEA Market Y-o-Y Growth (%) Projections by Software, 2023 to 2033
Figure 154: MEA Market Value (US$ Million) Analysis by Sensors, 2018 to 2033
Figure 155: MEA Market Value Share (%) and BPS Analysis by Sensors, 2023 to 2033
Figure 156: MEA Market Y-o-Y Growth (%) Projections by Sensors, 2023 to 2033
Figure 157: MEA Market Attractiveness by Equipment, 2023 to 2033
Figure 158: MEA Market Attractiveness by Software, 2023 to 2033
Figure 159: MEA Market Attractiveness by Sensors, 2023 to 2033
Figure 160: MEA Market Attractiveness by Country, 2023 to 2033
