Agriculture Analytics Market by Application Area (Farm Analytics, Livestock Analytics, Aquaculture Analytics), Component (Solution and Services), Farm Size (Small, Medium-sized, Large), Deployment, and Region – Global Forecast to 2025
[249 Pages Report] The agriculture analytics market size is expected to grow from USD 0.8 billion in 2020 to USD 1.4 billion by 2025, at a CAGR of 12.2% during the forecast period. Growing trend of digitization and risk assessment, and unlock the potential of urban farming is also expected to drive the market growth. However, high cost of gathering precise field data is one of the factors hindering the industry growth.
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COVID-19 impact
The COVID-19 pandemic had a significant global impact, due to which several industries are facing dire consequences. The agricultural and related industries have been severely impacted by the situation, owing to lockdown, trade barriers, and decline in import-export of goods.
As incidences of COVID-19 increase in countries around the world, disruptions to agri-food supply chains are faced by many countries. According to a report published by FAO, Africa is one of the most vulnerable countries. The majority of Africa depends on the import of food, even for the fulfillment of domestic demand. The import includes cereals, grains, pulses, fruits, vegetables, and even meat. The national trade barriers between countries might have a drastic effect on regions such as Africa who rely heavily on agricultural imports. Usually, the food sector is supplied by three sources; domestic production, imports, and storage. Some countries also rely on a network of manufacturers and distributors to process agricultural outputs, prepare them for human consumption, and move products from farms, to production facilities, and finally to consumers. Although there may have been plenty of food within the supply chains at the start of the crisis, disruptions to food supplies have tracked outbreaks due to a rise in panic buying by people concerned about food supplies during potential lockdowns. If outbreaks around the world are severe or continue over a long period of time, there are likely to be even more serious disruptions that may reduce food availability in the markets over the medium and longer terms.
Market Dynamics
Driver: Unlock the Potential of Urban Farming
Urban agriculture, both in terms of people growing food in community plots or in rooftop gardens, has become a popular trend around the world in recent decades. While the ability to provide locally-grown crops to urban populations shouldn’t be discounted, there are many benefits to urban farming that go beyond simply providing food to local communities. There is a positive environmental impact in terms of reducing runoff from heavy rainfall and improving air quality. The work that must go into planting and maintaining these plots also helps to strengthen the community’s social bonds.
Armed with big data analysis and AI, urban farmers can improve efficiency and maximize the potential of the limited space available to them. Some researchers believe that those efforts could ultimately produce as much as 180 million metric tons of food each year, representing about ten percent of the global output of legumes, roots and tubers, and vegetable crops..
Restraint: High cost of gathering precise field data
The major restraining factor for the AI in agricultural market is the high cost of gathering precise field data. AI technology requires high initial investments, efficient farming tools, and skilled and knowledgeable farmers or growers, among others, thereby making the farmers apprehensive about using this technology for gathering precise field data. Farmers or growers must make huge investments in GPS, drones, and GIS to collect input data for variable rate application technology from satellites and other GPS devices. AI based farming is costly, as it involves data acquisition for geospatial data (for efficient input selection) and training for data management, among others. The GPS technology-enabled devices, such as drones and driverless tractors for navigation and mapping applications, are expensive and require high initial investments.
Opportunity: Growing Adoption of Big Data IoT Sensors Transforming Livestock Care
Illnesses can spread quickly in a herd of hundreds or thousands of cows. In many instances, the sicknesses contracted by a few cows spread to dozens of others before farmers realize the problem. Thankfully, several IoT gadgets exist to prevent that issue and others. Some of them monitor fertility, which could be specifically advantageous on properties where farmers depend heavily on successful breeding. Others notify farmers when cows are in periods of high milk production. Based on what the data says, farmworkers can do things like adding a type of grain that promotes lactation to an animal's feeding regimen.
Sensors collect data about behavioral abnormalities, too. Since those variations could be the first sign of a severe illness, the information helps farmers be proactive in curbing possible health issues by isolating cows that may be ill. Since these sensors typically receive data continually and could be used on farms with thousands of cows, it's easy to understand why data centers are instrumental in helping agriculture professionals collect and retrieve information.
Big data are expected to have a large impact on smart farming and involves in every stage of food supply chain. Smart devices such as sensors, and GPS/GNSS produces large amount of data with unprecedented decision-making capabilities. As more and more smart devices and sensors are installed on the farms, agriculture practices will become increasingly data driven and data-enabled. Big data is expected to cause major shifts in transforming agriculture industry. New technologies such as IoT and cloud computing are expected to leverage this development and introduce more robots and artificial intelligence in farming.
Challenge: Technological awareness among farmers
A lack of technological awareness is one of the major restraining factors for the adoption of digital agriculture, especially in developing countries. There are some basic conditions that must exist for the use of digital technologies and, therefore for the digital transformation of the agriculture and food sector. These include literacy to use technology, infrastructure & connectivity, network coverage, internet access, and affordability. Developing countries like India, and China, offers a vast market for digital agriculture but the lack of awareness, especially among the small rural farmers, is a hindering factor.
This lack of technological awareness also hinders farmers from investing and modernizing their practices of production. They often face a tight economic situation with very limited investment ability in new production tools and limited access to credit. Even the investment in digital agriculture technologies poses a threat to small landholding farmers. The government can play an important role in lending a helping hand to mitigate the risk and increase the adoption of digital agriculture. For instance, The US has long had major government programs in place to facilitate risk management for farmers in various forms. The bulk of funding is allocated to risk management and insurance programs with great success. The Bulgarian government had also come across many agricultural reforms, where the farmers are getting financial help to buy advanced field equipment and regional technology service providers who offer associated products and services. The companies in Bulgaria also provide a software engineer or a technician who provides technical assistance to the farmers to make them aware of technology involved and how to use it.
The engagement of digital agriculture requires knowledgeable and skilled farm managers and laborers, as well as a cadre of well-educated consultants and service providers. Most educational institutions are inadequate in offering such infrastructure, and professional talent tends to favor urban over the rural living. This COVID-19 pandemic had shown the importance of digital agriculture and the role of government for its facilitation.
The livestock analytics application area is expected to grow at the fastest CAGR rate during the forecast period
The livestock analytics application area includes feeding management, heat stress management milk harvesting, breed management, behavior monitoring and management, and others. Where, others includes calf management, genetic management, and cattle sorting. The livestock agriculture includes varied task performed daily, which generate large volumes of critical data about the animal. Any, miss- management in the diet or tracking of the animals can cause major loss to the farmers. Hence, farmers are investing toward analytics solutions that help them in managing their livestock process for quality production.
By component type, the solution segment is expected to hold the largest share during the forecast period
The growing need for agribusiness to effectively analyse critical farm related data for better decision making is contributing to the growth of the agricultural analytics solution segment. Crop yield depends on multiple factors such as weather parameters, soil condition, fertilizer application, and seed variety. It becomes very challenging for farmers to identify the critical factors from large data sets that can impact their farm productivity. Agriculture analytics solution allows to corealte wide variety of data to get valuable insight for increasing productivity.
The large farms segment is estimated to account for a larger market size during the forecast period
The adoption of agriculture analytics solution in large enterprises is higher than the small and medium-sized farms, owing to the affordability and high economies of scale. The increasing competitive landscape and need to meet the global food requirements enforce them to turn to agriculture analytics solution and service to enhance the usage of resources for better production. Large farm size performs high-level business operations that generate huge volumes of information. Agriculture analytics service providers help large enterprises to effectively manage and utilise the information for maximum output.
North America is expected to account for the largest market size during the forecast period
North America is expected to hold the largest market size and dominate the agriculture analytics market from 2020 to 2025. The region majorly has large farms with best in class farming equipment’s, which largely contribute to the growth of the agriculture analytics market. APAC is expected to provide lucrative opportunities for the agriculture analytics vendors, owing to the increasing investments in the digital agriculture practices and implementation of cloud-based solutions among growers in the region. However, lack of standardization for data in various regions could affect the adoption of agriculture analytics solution
Key Market Players
The agriculture analytics platform vendors have implemented various types of organic as well as inorganic growth strategies, such as new product launches, product upgradations, partnerships and agreements, business expansions, and mergers and acquisitions, to strengthen their offerings in the market. The major vendors offering Agriculture analytics solutions are Deere & Company (US), IBM (US), SAP SE (Germany), Trimble (US), Monsanto (US), Oracle (US), Accenture (Ireland), Iteris (US), Taranis (Israel), Agribotix (US), Agrivi (UK), DTN (US), aWhere (US), Conservis Corporation (US), DeLaval (Sweden), FBN (US), Farmers Edge (US), GEOSYS (US), Granular (US), Gro Intelligence (US), Proagrica (UK), PrecisionHawk (US), RESSON (Canada), Stesalit Systems (India), AgVue Technologies (US), Fasal (India), AGEYE Technologies (US), HelioPas AI (Baden-Württemberg), OneSoil (Belarus), and Root AI (US).
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Report Metric |
Details |
|
Market Size Available for years |
2014-2025 |
|
Base year considered |
2019 |
|
Forecast Period |
2020-2025 |
|
Forecast units |
Value (USD Billion) |
|
Segments covered |
Application Area, Component, Farm Size, Deployment Mode, and Region |
|
Geographies covered |
North America, APAC, Europe, MEA and Latin America |
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Companies covered |
The major market players include Deere & Company (US), IBM (US), SAP SE (Germany), Trimble (US), Monsanto (US), Oracle (US), Accenture (Ireland), Iteris (US), Taranis (Israel), Agribotix (US), Agrivi (UK), DTN (US), aWhere (US), Conservis Corporation (US), DeLaval (Sweden), FBN (US), Farmers Edge (US), GEOSYS (US), Granular (US), Gro Intelligence (US), Proagrica (UK), PrecisionHawk (US), RESSON (Canada), Stesalit Systems (India), AgVue Technologies (US), Fasal (India), AGEYE Technologies (US), HelioPas AI (Baden-Württemberg), OneSoil (Belarus), and Root AI (US) (Total 31 companies) |
The study categorizes the agriculture analytics market based on component, deployment mode, farm size, application areas at the regional and global level.
On the basis of component, the agriculture analytics market has been segmented as follows:
- Solution
- Services
On the basis of application areas, the market has been segmented as follows:
- Farm analytics
- Livestock analytics
- Aquaculture analytics
- Others (Orchid, Forestry, and Horticulture)
On the basis of farm size, the agriculture analytics market has been segmented as follows:
- Large Farms
- Small and Medium-Sized Farms
On the basis of deployment modes, the market has been segmented as follows:
- Cloud
- On-premises
On the basis of regions, the agriculture analytics market has been segmented as follows:
-
North America
- US
- Canada
-
Europe
- Germany
- UK
- Rest of Europe
-
APAC
- Australia and New Zealand (ANZ)
- China
- Rest of APAC
-
MEA
- Kingdom of Saudi Arabia (KSA)
- South Africa
- Rest of MEA
-
Latin America
- Brazil
- Mexico
- Rest of Latin America
Recent Developments:
- In April 2020, IBM released novel AI-powered technologies to help the health and research community accelerate the discovery of medical insights and treatments for COVID-19.
- In April 2020, SAP established COVID-19 Emergency Fund (USD 3.4 million) to support the urgent needs of the World Health Organization (WHO), Centers for Disease Control and Prevention (CDC) Foundation, and smaller nonprofits and social enterprises. These organizations work on the front lines to cater to local communities in crisis.
- In June 2020 2019, SAP has launched the German government’s Corona Warn App. The app was developed in collaboration between SAP and Deutsche Telekom as well as other partners. It was developed in open-source mode, and the program code was continuously visible to the public on the development platform GitHub.
- In April 2019, Trimble launched a new entry-level Trimble Ag Software subscription called Farmer Core. It enables farmers to connect all aspects of their farm operations.
- In February 2019, Deere & Company announced updates to its 19-1 software to enhance the automation, documentation, functionality, and security of Generation 4 4600. This latest software has a higher level of automation activation, which has enabled the company’s Machine Sync harvest automation functionality on the Gen 4 platform for tractors.
Frequently Asked Questions (FAQ):
What is the projected market value of the global agriculture analytics market?
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What is agriculture analytics?
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TABLE OF CONTENTS
1 INTRODUCTION (Page No. - 34)
1.1 INTRODUCTION TO COVID-19
1.2 COVID-19 HEALTH ASSESSMENT
FIGURE 1 COVID-19: THE GLOBAL PROPAGATION
FIGURE 2 COVID-19 PROPAGATION: SELECT COUNTRIES
1.3 COVID-19 ECONOMIC ASSESSMENT
FIGURE 3 REVISED GROSS DOMESTIC PRODUCT FORECASTS FOR SELECT G20 COUNTRIES IN 2020
1.3.1 COVID-19 ECONOMIC IMPACT - SCENARIO ASSESSMENT
FIGURE 4 CRITERIA IMPACTING THE GLOBAL ECONOMY
FIGURE 5 SCENARIOS IN TERMS OF RECOVERY OF THE GLOBAL ECONOMY
1.4 OBJECTIVES OF THE STUDY
1.5 MARKET DEFINITION
1.5.1 INCLUSIONS AND EXCLUSIONS
1.6 MARKET SCOPE
1.6.1 MARKET SEGMENTATION
1.6.2 REGIONS COVERED
1.6.3 YEARS CONSIDERED FOR THE STUDY
1.7 CURRENCY CONSIDERED
TABLE 1 UNITED STATES DOLLAR EXCHANGE RATE, 2017–2019
1.8 STAKEHOLDERS
1.9 SUMMARY OF CHANGES
2 RESEARCH METHODOLOGY (Page No. - 43)
2.1 RESEARCH DATA
FIGURE 6 AGRICULTURE ANALYTICS MARKET: RESEARCH DESIGN
2.1.1 SECONDARY DATA
2.2 MARKET BREAKUP AND DATA TRIANGULATION
FIGURE 7 DATA TRIANGULATION
2.2.1 PRIMARY DATA
2.2.1.1 Key Industry Insights
TABLE 2 PRIMARY INTERVIEWS
2.2.1.2 Breakup of Primary Profiles
2.3 MARKET SIZE ESTIMATION
FIGURE 8 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 1 (SUPPLY SIDE): REVENUE OF SOLUTIONS/SERVICES OF THE MARKET
FIGURE 9 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 2 - BOTTOM-UP (SUPPLY SIDE): COLLECTIVE REVENUE OF ALL SOLUTIONS/SERVICES OF THE MARKET
FIGURE 10 AGRICULTURE ANALYTICS MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
2.3.1 TOP-DOWN APPROACH
2.3.2 BOTTOM-UP APPROACH
2.4 MARKET FORECAST
TABLE 3 FACTOR ANALYSIS
2.5 COMPETITIVE LEADERSHIP MAPPING METHODOLOGY
FIGURE 11 COMPETITIVE LEADERSHIP MAPPING MATRIX: CRITERIA WEIGHTAGE
2.6 ASSUMPTIONS FOR THE STUDY
2.7 LIMITATIONS OF THE STUDY
3 EXECUTIVE SUMMARY (Page No. - 53)
TABLE 4 AGRICULTURE ANALYTICS MARKET SIZE AND GROWTH RATE, 2016–2019 (USD MILLION, Y-O-Y %)
TABLE 5 MARKET SIZE AND GROWTH RATE, 2019–2025 (USD MILLION, Y-O-Y %)
FIGURE 12 AGRICULTURE ANALYTICS MARKET, BY COMPONENT
FIGURE 13 MARKET, BY SERVICE
FIGURE 14 MARKET, BY BY PROFESSIONAL SERVICE
FIGURE 15 MARKET, BY DEPLOYMENT MODE
FIGURE 16 MARKET, BY FARM SIZE
FIGURE 17 MARKET, BY APPLICATION AREA
FIGURE 18 MARKET, BY REGION
4 PREMIUM INSIGHTS (Page No. - 58)
4.1 ATTRACTIVE OPPORTUNITIES IN THE AGRICULTURE ANALYTICS MARKET
FIGURE 19 RISING NEED FOR RISK ASSESSMENT IN FARMING DRIVING THE ADOPTION OF AGRICULTURE ANALYTICS
4.2 MARKET: TOP THREE APPLICATION AREAS
FIGURE 20 LIVESTOCK ANALYTICS SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
4.3 MARKET: BY REGION
FIGURE 21 NORTH AMERICA TO ACCOUNT FOR THE HIGHEST MARKET SHARE IN 2020
4.4 MARKET IN NORTH AMERICA, BY APPLICATION AREA AND FARM SIZE
FIGURE 22 FARM ANALYTICS AND LARGE FARMS SEGMENTS ESTIMATED TO ACCOUNT FOR THE HIGHEST SHARES IN THE MARKET IN 2020
5 MARKET OVERVIEW AND INDUSTRY TRENDS (Page No. - 60)
5.1 INTRODUCTION
5.2 MARKET EVOLUTION
5.3 MARKET DYNAMICS
FIGURE 23 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: AGRICULTURE ANALYTICS MARKET
5.3.1 DRIVERS
5.3.1.1 Increased adoption of urban farming
5.3.1.2 Growing trend of digitization and risk assessment
5.3.1.3 Rising demand to improve agricultural supply chain management due to the COVID-19 pandemic
5.3.2 RESTRAINTS
5.3.2.1 High cost of gathering precise field data
5.3.2.2 Lack of standardization practices
5.3.3 OPPORTUNITIES
5.3.3.1 Growing adoption of big data IoT sensors transforming livestock care
5.3.3.2 Developing countries to offer significant growth opportunities
5.3.4 CHALLENGES
5.3.4.1 Technological awareness among farmers
5.3.5 CUMULATIVE GROWTH ANALYSIS
5.4 AGRICULTURE ANALYTICS: ECOSYSTEM
FIGURE 24 AGRICULTURE ANALYTICS MARKET ECOSYSTEM
5.5 MARKET: COVID-19 IMPACT
FIGURE 25 MARKET TO DECLINE BETWEEN 2020 AND 2021
5.6 PATENT ANALYSIS
FIGURE 26 NUMBER OF PATENTS APPROVED FOR AGRICULTURE ANALYTICS IN THE GLOBAL MARKET, 2016–2020
5.7 SUPPLY CHAIN ANALYSIS
5.8 VALUE CHAIN ANALYSIS
5.9 TECHNOLOGY ANALYSIS AND TRENDS
5.9.1 BLOCKCHAIN
5.9.2 GIS-BASED AGRICULTURE
5.9.3 SATELLITE-DERIVED DATA
5.9.4 SKY-DRONES
5.9.5 SMARTPHONES TECHNOLOGY
5.9.6 RFID AND SECURITY TECHNOLOGIES
5.9.7 BIG DATA AND DATA ANALYTICS
5.10 PORTER’S FIVE FORCE ANALYSIS
FIGURE 27 PORTER’S FIVE FORCE ANALYSIS
5.10.1 THREAT OF NEW ENTRANTS
5.10.2 THREAT OF SUBSTITUTES
5.10.3 BARGAINING POWER OF SUPPLIERS
5.10.4 BARGAINING POWER OF BUYERS
5.10.5 INTENSITY OF COMPETITIVE RIVALRY
6 AGRICULTURE ANALYTICS MARKET, BY APPLICATION AREA (Page No. - 72)
6.1 INTRODUCTION
6.1.1 APPLICATION AREA: COVID-19 IMPACT
6.1.2 APPLICATION AREA: MARKET DRIVERS
FIGURE 28 LIVESTOCK ANALYTICS SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
TABLE 6 MARKET SIZE, BY APPLICATION AREA, 2016–2019 (USD MILLION)
TABLE 7 MARKET SIZE, BY APPLICATION AREA, 2019–2025 (USD MILLION)
TABLE 8 APPLICATION AREA: MARKET SIZE, BY REGION, 2016–2019 (USD MILLION)
TABLE 9 APPLICATION AREA: MARKET SIZE, BY REGION, 2019–2025 (USD MILLION)
6.2 FARM ANALYTICS
TABLE 10 FARM ANALYTICS: MARKET SIZE, BY REGION, 2016–2019 (USD MILLION)
TABLE 11 FARM ANALYTICS: AGRICULTURE ANALYTICS MARKET SIZE, BY REGION, 2019–2025 (USD MILLION)
6.2.1 PLANNING
6.2.1.1 Field mapping
6.2.1.2 Crop scouting
6.2.1.3 Weather data analytics
6.2.1.4 Soil moisture analysis
6.2.2 ON-FARM PRODUCTION
6.2.2.1 Irrigation and water management
6.2.2.2 Fertilizer management
6.2.2.3 Crop growth and health
6.2.3 POST-HARVEST ACTIVITIES
6.2.3.1 Storage
6.2.3.2 Processing
6.2.3.3 Transport
6.2.3.4 Market access
6.3 LIVESTOCK ANALYTICS
TABLE 12 LIVESTOCK ANALYTICS: AGRICULTURE ANALYTICS MARKET SIZE, BY REGION, 2016–2019 (USD MILLION)
TABLE 13 LIVESTOCK ANALYTICS: MARKET SIZE, BY REGION, 2019–2025 (USD MILLION)
6.3.1 FEEDING MANAGEMENT
6.3.2 HEAT STRESS MANAGEMENT
6.3.3 MILK HARVESTING
6.3.4 BREEDING MANAGEMENT
6.3.5 BEHAVIOR MONITORING AND MANAGEMENT
6.3.6 OTHERS
6.4 AQUACULTURE ANALYTICS
TABLE 14 AQUACULTURE ANALYTICS: AGRICULTURE ANALYTICS MARKET SIZE, BY REGION, 2016–2019 (USD MILLION)
TABLE 15 AQUACULTURE ANALYTICS: MARKET SIZE, BY REGION, 2019–2025 (USD MILLION)
6.4.1 FISH TRACKING AND FLEET NAVIGATION
6.4.2 FEED MANAGEMENT
6.4.3 WATER QUALITY MANAGEMENT
6.4.4 OTHERS
6.5 OTHERS
TABLE 16 OTHERS: MARKET SIZE, BY REGION, 2016–2019 (USD MILLION)
TABLE 17 OTHERS: MARKET SIZE, BY REGION, 2019–2025 (USD MILLION)
7 AGRICULTURE ANALYTICS MARKET, BY DEPLOYMENT MODE (Page No. - 85)
7.1 INTRODUCTION
7.1.1 DEPLOYMENT MODE: COVID-19 IMPACT
7.1.2 DEPLOYMENT MODE: MARKET DRIVERS
FIGURE 29 CLOUD SEGMENT TO WITNESS A HIGHER CAGR DURING THE FORECAST PERIOD
TABLE 18 MARKET SIZE, BY DEPLOYMENT MODE, 2016–2019 (USD MILLION)
TABLE 19 MARKET SIZE, BY DEPLOYMENT MODE, 2019–2025 (USD MILLION)
TABLE 20 DEPLOYMENT MODE: MARKET SIZE, BY REGION, 2016–2019 (USD MILLION)
TABLE 21 DEPLOYMENT MODE: MARKET SIZE, BY REGION, 2019–2025 (USD MILLION)
7.2 ON-PREMISES
TABLE 22 ON-PREMISES: MARKET SIZE, BY REGION, 2016–2019 (USD MILLION)
TABLE 23 ON-PREMISES: MARKET SIZE, BY REGION, 2019–2025 (USD MILLION)
7.3 CLOUD
TABLE 24 CLOUD: MARKET SIZE, BY REGION, 2016–2019 (USD MILLION)
TABLE 25 CLOUD: MARKET SIZE, BY REGION, 2019–2025 (USD MILLION)
8 AGRICULTURE ANALYTICS MARKET, BY FARM SIZE (Page No. - 91)
8.1 INTRODUCTION
8.1.1 FARM SIZE: COVID-19 IMPACT
8.1.2 FARM SIZE: MARKET DRIVERS
FIGURE 30 SMALL AND MEDIUM-SIZED FARMS SEGMENT TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
TABLE 26 MARKET SIZE, BY FARM SIZE, 2016–2019 (USD MILLION)
TABLE 27 MARKET SIZE, BY FARM SIZE, 2019–2025 (USD MILLION)
TABLE 28 FARM SIZE: MARKET SIZE, BY REGION, 2016–2019 (USD MILLION)
TABLE 29 FARM SIZE: MARKET SIZE, BY REGION, 2019–2025 (USD MILLION)
8.2 SMALL AND MEDIUM-SIZED FARMS
TABLE 30 SMALL AND MEDIUM-SIZED FARMS: AGRICULTURE ANALYTICS MARKET SIZE, BY REGION, 2016–2019 (USD MILLION)
TABLE 31 SMALL AND MEDIUM-SIZED FARMS: MARKET SIZE, BY REGION, 2019–2025 (USD MILLION)
8.3 LARGE FARMS
TABLE 32 LARGE FARMS: MARKET SIZE, BY REGION, 2016–2019 (USD MILLION)
TABLE 33 LARGE FARMS: MARKET SIZE, BY REGION, 2019–2025 (USD MILLION)
9 AGRICULTURE ANALYTICS MARKET, BY REGION (Page No. - 97)
9.1 INTRODUCTION
9.1.1 REGIONS: COVID-19 IMPACT
FIGURE 31 ASIA PACIFIC TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
FIGURE 32 CANADA TO ATTAIN THE FASTEST GROWTH DURING THE FORECAST PERIOD
TABLE 34 MARKET SIZE, BY REGION, 2016–2019 (USD MILLION)
TABLE 35 MARKET SIZE, BY REGION, 2019–2025 (USD MILLION)
9.2 NORTH AMERICA
9.2.1 NORTH AMERICA: COVID-19 IMPACT
9.2.2 NORTH AMERICA: MARKET DRIVERS
9.2.3 NORTH AMERICA: TARIFFS AND REGULATIONS
FIGURE 33 NORTH AMERICA: MARKET SNAPSHOT
TABLE 36 NORTH AMERICA: AGRICULTURE ANALYTICS MARKET SIZE, BY COMPONENT, 2016–2019 (USD MILLION)
TABLE 37 NORTH AMERICA: MARKET SIZE, BY COMPONENT, 2019–2025 (USD MILLION)
TABLE 38 NORTH AMERICA: MARKET SIZE, BY SERVICE, 2016–2019 (USD MILLION)
TABLE 39 NORTH AMERICA: MARKET SIZE, BY SERVICE, 2019–2025 (USD MILLION)
TABLE 40 NORTH AMERICA: MARKET SIZE, BY PROFESSIONAL SERVICE, 2016–2019 (USD MILLION)
TABLE 41 NORTH AMERICA: MARKET SIZE, BY PROFESSIONAL SERVICE, 2019–2025 (USD MILLION)
TABLE 42 NORTH AMERICA: MARKET SIZE, BY DEPLOYMENT MODE, 2016–2019 (USD MILLION)
TABLE 43 NORTH AMERICA: MARKET SIZE, BY DEPLOYMENT MODE, 2019–2025 (USD MILLION)
TABLE 44 NORTH AMERICA: MARKET SIZE, BY FARM SIZE, 2016–2019 (USD MILLION)
TABLE 45 NORTH AMERICA: MARKET SIZE, BY FARM SIZE, 2019–2025 (USD MILLION)
TABLE 46 NORTH AMERICA: MARKET SIZE, BY APPLICATION AREA, 2016–2019 (USD MILLION)
TABLE 47 NORTH AMERICA: MARKET SIZE, BY APPLICATION AREA, 2019–2025 (USD MILLION)
TABLE 48 NORTH AMERICA: MARKET SIZE, BY COUNTRY, 2016–2019 (USD MILLION)
TABLE 49 NORTH AMERICA: MARKET SIZE, BY COUNTRY, 2019–2025 (USD MILLION)
9.2.4 UNITED STATES
TABLE 50 UNITED STATES: AGRICULTURE ANALYTICS MARKET SIZE, BY COMPONENT, 2016–2019 (USD MILLION)
TABLE 51 UNITED STATES: MARKET SIZE, BY COMPONENT, 2019–2025 (USD MILLION)
TABLE 52 UNITED STATES: MARKET SIZE, BY SERVICE, 2016–2019 (USD MILLION)
TABLE 53 UNITED STATES: MARKET SIZE, BY SERVICE, 2019–2025 (USD MILLION)
TABLE 54 UNITED STATES: MARKET SIZE, BY DEPLOYMENT MODE, 2016–2019 (USD MILLION)
TABLE 55 UNITED STATES: MARKET SIZE, BY DEPLOYMENT MODE, 2019–2025 (USD MILLION)
TABLE 56 UNITED STATES: MARKET SIZE, BY FARM SIZE, 2016–2019 (USD MILLION)
TABLE 57 UNITED STATES: MARKET SIZE, BY FARM SIZE, 2019–2025 (USD MILLION)
9.2.5 CANADA
TABLE 58 CANADA: AGRICULTURE ANALYTICS MARKET SIZE, BY COMPONENT, 2016–2019 (USD MILLION)
TABLE 59 CANADA: MARKET SIZE, BY COMPONENT, 2019–2025 (USD MILLION)
TABLE 60 CANADA: MARKET SIZE, BY SERVICE, 2016–2019 (USD MILLION)
TABLE 61 CANADA: MARKET SIZE, BY SERVICE, 2019–2025 (USD MILLION)
TABLE 62 CANADA: MARKET SIZE, BY DEPLOYMENT MODE, 2016–2019 (USD MILLION)
TABLE 63 CANADA: MARKET SIZE, BY DEPLOYMENT MODE, 2019–2025 (USD MILLION)
TABLE 64 CANADA: MARKET SIZE, BY FARM SIZE, 2016–2019 (USD MILLION)
TABLE 65 CANADA: MARKET SIZE, BY FARM SIZE, 2019–2025 (USD MILLION)
9.3 EUROPE
9.3.1 EUROPE: COVID-19 IMPACT
9.3.2 EUROPE: MARKET DRIVERS
9.3.3 EUROPE: TARIFFS AND REGULATIONS
TABLE 66 EUROPE: AGRICULTURE ANALYTICS MARKET SIZE, BY COMPONENT, 2016–2019 (USD MILLION)
TABLE 67 EUROPE: MARKET SIZE, BY COMPONENT, 2019–2025 (USD MILLION)
TABLE 68 EUROPE: MARKET SIZE, BY SERVICE, 2016–2019 (USD MILLION)
TABLE 69 EUROPE: MARKET SIZE, BY SERVICE, 2019–2025 (USD MILLION)
TABLE 70 EUROPE: MARKET SIZE, BY PROFESSIONAL SERVICE, 2016–2019 (USD MILLION)
TABLE 71 EUROPE: MARKET SIZE, BY PROFESSIONAL SERVICE, 2019–2025 (USD MILLION)
TABLE 72 EUROPE: MARKET SIZE, BY DEPLOYMENT MODE, 2016–2019 (USD MILLION)
TABLE 73 EUROPE: MARKET SIZE, BY DEPLOYMENT MODE, 2019–2025 (USD MILLION)
TABLE 74 EUROPE: MARKET SIZE, BY FARM SIZE, 2016–2019 (USD MILLION)
TABLE 75 EUROPE: MARKET SIZE, BY FARM SIZE, 2019–2025 (USD MILLION)
TABLE 76 EUROPE: MARKET SIZE, BY APPLICATION AREA, 2016–2019 (USD MILLION)
TABLE 77 EUROPE: MARKET SIZE, BY APPLICATION AREA, 2019–2025 (USD MILLION)
TABLE 78 EUROPE: MARKET SIZE, BY COUNTRY, 2016–2019 (USD MILLION)
TABLE 79 EUROPE: MARKET SIZE, BY COUNTRY, 2019–2025 (USD MILLION)
9.3.4 UNITED KINGDOM
TABLE 80 UNITED KINGDOM: AGRICULTURE ANALYTICS MARKET SIZE, BY COMPONENT, 2016–2019 (USD MILLION)
TABLE 81 UNITED KINGDOM: MARKET SIZE, BY COMPONENT, 2019–2025 (USD MILLION)
TABLE 82 UNITED KINGDOM: MARKET SIZE, BY SERVICE, 2016–2019 (USD MILLION)
TABLE 83 UNITED KINGDOM: MARKET SIZE, BY SERVICE, 2019–2025 (USD MILLION)
TABLE 84 UNITED KINGDOM: MARKET SIZE, BY DEPLOYMENT MODE, 2016–2019 (USD MILLION)
TABLE 85 UNITED KINGDOM: MARKET SIZE, BY DEPLOYMENT MODE, 2019–2025 (USD MILLION)
TABLE 86 UNITED KINGDOM: MARKET SIZE, BY FARM SIZE, 2016–2019 (USD MILLION)
TABLE 87 UNITED KINGDOM: MARKET SIZE, BY FARM SIZE, 2019–2025 (USD MILLION)
9.3.5 GERMANY
TABLE 88 GERMANY: AGRICULTURE ANALYTICS MARKET SIZE, BY COMPONENT, 2016–2019 (USD MILLION)
TABLE 89 GERMANY: MARKET SIZE, BY COMPONENT, 2019–2025 (USD MILLION)
TABLE 90 GERMANY: MARKET SIZE, BY SERVICE, 2016–2019 (USD MILLION)
TABLE 91 GERMANY: MARKET SIZE, BY SERVICE, 2019–2025 (USD MILLION)
TABLE 92 GERMANY: MARKET SIZE, BY DEPLOYMENT MODE, 2016–2019 (USD MILLION)
TABLE 93 GERMANY: MARKET SIZE, BY DEPLOYMENT MODE, 2019–2025 (USD MILLION)
TABLE 94 GERMANY: MARKET SIZE, BY FARM SIZE, 2016–2019 (USD MILLION)
TABLE 95 GERMANY: MARKET SIZE, BY FARM SIZE, 2019–2025 (USD MILLION)
9.3.6 REST OF EUROPE
9.4 ASIA PACIFIC
9.4.1 ASIA PACIFIC: COVID-19 IMPACT
9.4.2 ASIA PACIFIC: MARKET DRIVERS
9.4.3 ASIA PACIFIC: TARIFFS AND REGULATIONS
FIGURE 34 ASIA PACIFIC: MARKET SNAPSHOT
TABLE 96 ASIA PACIFIC: AGRICULTURE ANALYTICS MARKET SIZE, BY COMPONENT, 2016–2019 (USD MILLION)
TABLE 97 ASIA PACIFIC: MARKET SIZE, BY COMPONENT, 2019–2025 (USD MILLION)
TABLE 98 ASIA PACIFIC: MARKET SIZE, BY SERVICE, 2016–2019 (USD MILLION)
TABLE 99 ASIA PACIFIC: MARKET SIZE, BY SERVICE, 2019–2025 (USD MILLION)
TABLE 100 ASIA PACIFIC: MARKET SIZE, BY PROFESSIONAL SERVICE, 2016–2019 (USD MILLION)
TABLE 101 ASIA PACIFIC: MARKET SIZE, BY PROFESSIONAL SERVICE, 2019–2025 (USD MILLION)
TABLE 102 ASIA PACIFIC: MARKET SIZE, BY DEPLOYMENT MODE, 2016–2019 (USD MILLION)
TABLE 103 ASIA PACIFIC: MARKET SIZE, BY DEPLOYMENT MODE, 2019–2025 (USD MILLION)
TABLE 104 ASIA PACIFIC: MARKET SIZE, BY FARM SIZE, 2016–2019 (USD MILLION)
TABLE 105 ASIA PACIFIC: MARKET SIZE, BY FARM SIZE, 2019–2025 (USD MILLION)
TABLE 106 ASIA PACIFIC: MARKET SIZE, BY APPLICATION AREA, 2016–2019 (USD MILLION)
TABLE 107 ASIA PACIFIC: MARKET SIZE, BY APPLICATION AREA, 2019–2025 (USD MILLION)
TABLE 108 ASIA PACIFIC: MARKET SIZE, BY COUNTRY, 2016–2019 (USD MILLION)
TABLE 109 ASIA PACIFIC: MARKET SIZE, BY COUNTRY, 2019–2025 (USD MILLION)
9.4.4 CHINA
TABLE 110 CHINA: AGRICULTURE ANALYTICS MARKET SIZE, BY COMPONENT, 2016–2019 (USD MILLION)
TABLE 111 CHINA: MARKET SIZE, BY COMPONENT, 2019–2025 (USD MILLION)
TABLE 112 CHINA: MARKET SIZE, BY SERVICE, 2016–2019 (USD MILLION)
TABLE 113 CHINA: MARKET SIZE, BY SERVICE, 2019–2025 (USD MILLION)
TABLE 114 CHINA: MARKET SIZE, BY DEPLOYMENT MODE, 2016–2019 (USD MILLION)
TABLE 115 CHINA: MARKET SIZE, BY DEPLOYMENT MODE, 2019–2025 (USD MILLION)
TABLE 116 CHINA: MARKET SIZE, BY FARM SIZE, 2016–2019 (USD MILLION)
TABLE 117 CHINA: MARKET SIZE, BY FARM SIZE, 2019–2025 (USD MILLION)
9.4.5 ANZ
TABLE 118 AUSTRALIA AND NEW ZEALAND: AGRICULTURE ANALYTICS MARKET SIZE, BY COMPONENT, 2016–2019 (USD MILLION)
TABLE 119 AUSTRALIA AND NEW ZEALAND: MARKET SIZE, BY COMPONENT, 2019–2025 (USD MILLION)
TABLE 120 AUSTRALIA AND NEW ZEALAND: MARKET SIZE, BY SERVICE, 2016–2019 (USD MILLION)
TABLE 121 AUSTRALIA AND NEW ZEALAND: MARKET SIZE, BY SERVICE, 2019–2025 (USD MILLION)
TABLE 122 AUSTRALIA AND NEW ZEALAND: MARKET SIZE, BY DEPLOYMENT MODE, 2016–2019 (USD MILLION)
TABLE 123 AUSTRALIA AND NEW ZEALAND: MARKET SIZE, BY DEPLOYMENT MODE, 2019–2025 (USD MILLION)
TABLE 124 AUSTRALIA AND NEW ZEALAND: MARKET SIZE, BY FARM SIZE, 2016–2019 (USD MILLION)
TABLE 125 AUSTRALIA AND NEW ZEALAND: MARKET SIZE, BY FARM SIZE, 2019–2025 (USD MILLION)
9.4.6 REST OF ASIA PACIFIC
9.5 MIDDLE EAST AND AFRICA
9.5.1 MIDDLE EAST AND AFRICA: COVID-19 IMPACT
9.5.2 MIDDLE EAST AND AFRICA: AGRICULTURE ANALYTICS MARKET DRIVERS
9.5.3 MIDDLE EAST AND AFRICA: TARIFFS AND REGULATIONS
TABLE 126 MIDDLE EAST AND AFRICA: MARKET SIZE, BY COMPONENT, 2016–2019 (USD MILLION)
TABLE 127 MIDDLE EAST AND AFRICA: MARKET SIZE, BY COMPONENT, 2019–2025 (USD MILLION)
TABLE 128 MIDDLE EAST AND AFRICA: MARKET SIZE, BY SERVICE, 2016–2019 (USD MILLION)
TABLE 129 MIDDLE EAST AND AFRICA: MARKET SIZE, BY SERVICE, 2019–2025 (USD MILLION)
TABLE 130 MIDDLE EAST AND AFRICA: MARKET SIZE, BY PROFESSIONAL SERVICE, 2016–2019 (USD MILLION)
TABLE 131 MIDDLE EAST AND AFRICA: MARKET SIZE, BY PROFESSIONAL SERVICE, 2019–2025 (USD MILLION)
TABLE 132 MIDDLE EAST AND AFRICA: MARKET SIZE, BY DEPLOYMENT MODE, 2016–2019 (USD MILLION)
TABLE 133 MIDDLE EAST AND AFRICA: MARKET SIZE, BY DEPLOYMENT MODE, 2019–2025 (USD MILLION)
TABLE 134 MIDDLE EAST AND AFRICA: MARKET SIZE, BY FARM SIZE, 2016–2019 (USD MILLION)
TABLE 135 MIDDLE EAST AND AFRICA: MARKET SIZE, BY FARM SIZE, 2019–2025 (USD MILLION)
TABLE 136 MIDDLE EAST AND AFRICA: MARKET SIZE, BY APPLICATION AREA, 2016–2019 (USD MILLION)
TABLE 137 MIDDLE EAST AND AFRICA: MARKET SIZE, Y APPLICATION AREA, 2019–2025 (USD MILLION)
TABLE 138 MIDDLE EAST AND AFRICA: MARKET SIZE, BY COUNTRY, 2016–2019 (USD MILLION)
TABLE 139 MIDDLE EAST AND AFRICA: MARKET SIZE, BY COUNTRY, 2019–2025 (USD MILLION)
9.5.4 KINGDOM OF SAUDI ARABIA
TABLE 140 KINGDOM OF SAUDI ARABIA: AGRICULTURE ANALYTICS MARKET SIZE, BY COMPONENT, 2016–2019 (USD MILLION)
TABLE 141 KINGDOM OF SAUDI ARABIA: MARKET SIZE, BY COMPONENT, 2019–2025 (USD MILLION)
TABLE 142 KINGDOM OF SAUDI ARABIA: MARKET SIZE, BY SERVICE, 2016–2019 (USD MILLION)
TABLE 143 KINGDOM OF SAUDI ARABIA: MARKET SIZE, BY SERVICE, 2019–2025 (USD MILLION)
TABLE 144 KINGDOM OF SAUDI ARABIA: MARKET SIZE, BY DEPLOYMENT MODE, 2016–2019 (USD MILLION)
TABLE 145 KINGDOM OF SAUDI ARABIA: MARKET SIZE, BY DEPLOYMENT MODE, 2019–2025 (USD MILLION)
TABLE 146 KINGDOM OF SAUDI ARABIA: MARKET SIZE, BY FARM SIZE, 2016–2019 (USD MILLION)
TABLE 147 KINGDOM OF SAUDI ARABIA: MARKET SIZE, BY FARM SIZE, 2019–2025 (USD MILLION)
9.5.5 SOUTH AFRICA
TABLE 148 SOUTH AFRICA: AGRICULTURE ANALYTICS MARKET SIZE, BY COMPONENT, 2016–2019 (USD MILLION)
TABLE 149 SOUTH AFRICA: MARKET SIZE, BY COMPONENT, 2019–2025 (USD MILLION)
TABLE 150 SOUTH AFRICA: MARKET SIZE, BY SERVICE, 2016–2019 (USD MILLION)
TABLE 151 SOUTH AFRICA: MARKET SIZE, BY SERVICE, 2019–2025 (USD MILLION)
TABLE 152 SOUTH AFRICA: MARKET SIZE, BY DEPLOYMENT MODE, 2016–2019 (USD MILLION)
TABLE 153 SOUTH AFRICA: MARKET SIZE, BY DEPLOYMENT MODE, 2019–2025 (USD MILLION)
TABLE 154 SOUTH AFRICA: MARKET SIZE, BY FARM SIZE, 2016–2019 (USD MILLION)
TABLE 155 SOUTH AFRICA: MARKET SIZE, BY FARM SIZE, 2019–2025 (USD MILLION)
9.6 LATIN AMERICA
9.6.1 LATIN AMERICA: COVID-19 IMPACT
9.6.2 LATIN AMERICA: MARKET DRIVERS
9.6.3 LATIN AMERICA: TARIFFS AND REGULATIONS
TABLE 156 LATIN AMERICA: AGRICULTURE ANALYTICS MARKET SIZE, BY COMPONENT, 2016–2019 (USD MILLION)
TABLE 157 LATIN AMERICA: MARKET SIZE, BY COMPONENT, 2019–2025 (USD MILLION)
TABLE 158 LATIN AMERICA: MARKET SIZE, BY SERVICE, 2016–2019 (USD MILLION)
TABLE 159 LATIN AMERICA: MARKET SIZE, BY SERVICE, 2019–2025 (USD MILLION)
TABLE 160 LATIN AMERICA: MARKET SIZE, BY PROFESSIONAL SERVICE, 2016–2019 (USD MILLION)
TABLE 161 LATIN AMERICA: MARKET SIZE, BY PROFESSIONAL SERVICE, 2019–2025 (USD MILLION)
TABLE 162 LATIN AMERICA: MARKET SIZE, BY DEPLOYMENT MODE, 2016–2019 (USD MILLION)
TABLE 163 LATIN AMERICA: MARKET SIZE, BY DEPLOYMENT MODE, 2019–2025 (USD MILLION)
TABLE 164 LATIN AMERICA: MARKET SIZE, BY FARM SIZE, 2016–2019 (USD MILLION)
TABLE 165 LATIN AMERICA: MARKET SIZE, BY FARM SIZE, 2019–2025 (USD MILLION)
TABLE 166 LATIN AMERICA: MARKET SIZE, BY APPLICATION AREA, 2016–2019 (USD MILLION)
TABLE 167 LATIN AMERICA: MARKET SIZE, BY APPLICATION AREA, 2019–2025 (USD MILLION)
TABLE 168 LATIN AMERICA: MARKET SIZE, BY COUNTRY, 2016–2019 (USD MILLION)
TABLE 169 LATIN AMERICA: MARKET SIZE, BY COUNTRY, 2019–2025 (USD MILLION)
9.6.4 BRAZIL
TABLE 170 BRAZIL: AGRICULTURE ANALYTICS MARKET SIZE, BY COMPONENT, 2016–2019 (USD MILLION)
TABLE 171 BRAZIL: MARKET SIZE, BY COMPONENT, 2019–2025 (USD MILLION)
TABLE 172 BRAZIL: MARKET SIZE, BY SERVICE, 2016–2019 (USD MILLION)
TABLE 173 BRAZIL: MARKET SIZE, BY SERVICE, 2019–2025 (USD MILLION)
TABLE 174 BRAZIL: MARKET SIZE, BY DEPLOYMENT MODE, 2016–2019 (USD MILLION)
TABLE 175 BRAZIL: MARKET SIZE, BY DEPLOYMENT MODE, 2019–2025 (USD MILLION)
TABLE 176 BRAZIL: MARKET SIZE, BY FARM SIZE, 2016–2019 (USD MILLION)
TABLE 177 BRAZIL: MARKET SIZE, BY FARM SIZE, 2019–2025 (USD MILLION)
9.6.5 MEXICO
TABLE 178 MEXICO: AGRICULTURE ANALYTICS MARKET SIZE, BY COMPONENT, 2016–2019 (USD MILLION)
TABLE 179 MEXICO: MARKET SIZE, BY COMPONENT, 2019–2025 (USD MILLION)
TABLE 180 MEXICO: MARKET SIZE, BY SERVICE, 2016–2019 (USD MILLION)
TABLE 181 MEXICO: MARKET SIZE, BY SERVICE, 2019–2025 (USD MILLION)
TABLE 182 MEXICO: MARKET SIZE, BY DEPLOYMENT MODE, 2016–2019 (USD MILLION)
TABLE 183 MEXICO: MARKET SIZE, BY DEPLOYMENT MODE, 2019–2025 (USD MILLION)
TABLE 184 MEXICO: MARKET SIZE, BY FARM SIZE, 2016–2019 (USD MILLION)
TABLE 185 MEXICO: MARKET SIZE, BY FARM SIZE, 2019–2025 (USD MILLION)
9.6.6 REST OF LATIN AMERICA
10 COMPETITIVE LANDSCAPE (Page No. - 157)
10.1 OVERVIEW
10.2 MARKET EVALUATION FRAMEWORK
FIGURE 35 MARKET EVALUATION FRAMEWORK: PARTNERSHIPS AND EXPANSIONS FROM 2018 AND 2020
10.3 MARKET SHARE, 2020
FIGURE 36 CAMBRIDGE COGNITION TO LEAD AGRICULTURE ANALYTICS MARKET IN 2020
10.4 HISTORIC REVENUE ANALYSIS OF KEY MARKET PLAYERS
FIGURE 37 REVENUE ANALYSIS OF KEY MARKET PLAYERS, 2015-2019
10.5 COMPANY EVALUATION MATRIX DEFINITIONS AND METHODOLOGY
FIGURE 38 RANKING OF KEY PLAYERS, 2020
10.6 COMPANY EVALUATION MATRIX, 2020
10.6.1 STARS
10.6.2 EMERGING LEADERS
10.6.3 PERVASIVE COMPANIES
10.6.4 PARTICIPANTS
FIGURE 39 AGRICULTURE ANALYTICS MARKET (GLOBAL), COMPANY EVALUATION MATRIX, 2020
10.7 STRENGTH PRODUCT PORTFOLIO
FIGURE 40 PRODUCT PORTFOLIO ANALYSIS OF TOP LEADERS IN THE MARKET
10.8 BUSINESS STRATEGY EXCELLENCE
FIGURE 41 BUSINESS STRATEGY EXCELLENCE OF TOP LEADERS IN THE MARKET
10.9 STARTUP/SME COMPANY EVALUATION MATRIX, 2020
10.9.1 PROGRESSIVE COMPANIES
10.9.2 RESPONSIVE COMPANIES
10.9.3 DYNAMIC COMPANIES
10.9.4 STARTING BLOCKS
FIGURE 42 AGRICULTURE ANALYTICS MARKET (GLOBAL), STARTUP/SME COMPANY EVALUATION MATRIX, 2020
10.10 STRENGTH PRODUCT PORTFOLIO
FIGURE 43 PRODUCT PORTFOLIO ANALYSIS OF TOP START-UPS IN THE MARKET
10.11 BUSINESS STRATEGY EXCELLENCE
FIGURE 44 BUSINESS STRATEGY EXCELLENCE OF TOP START-UPS IN THE AGRICULTURE ANALYTICS MARKET
11 COMPANY PROFILES (Page No. - 167)
11.1 INTRODUCTION
(Business Overview, Solutions Offered, Recent Developments, Mnm View, Key Strengths/Right to Win, Strategic Choices Made, and Weakness and Competitive Threats)*
11.2 DEERE & COMPANY
FIGURE 45 DEERE & COMPANY: COMPANY SNAPSHOT
11.3 IBM
FIGURE 46 IBM: COMPANY SNAPSHOT
11.4 MONSANTO COMPANY
11.5 SAP
FIGURE 47 SAP: COMPANY SNAPSHOT
11.6 TRIMBLE
FIGURE 48 TRIMBLE: COMPANY SNAPSHOT
11.7 ACCENTURE
FIGURE 49 ACCENTURE: COMPANY SNAPSHOT
11.8 ABACO GROUP
11.9 DELAVAL
FIGURE 50 DELAVAL: COMPANY SNAPSHOT
11.10 ITERIS
FIGURE 51 ITERIS: COMPANY SNAPSHOT
11.11 ORACLE
FIGURE 52 ORACLE: COMPANY SNAPSHOT
11.12 AGRIBOTIX
11.13 AGRIVI
11.14 AGVUE TECHNOLOGIES
11.15 AWHERE
11.16 CONSERVIS CORPORATION
11.17 DTN
11.18 FBN
11.19 FARMERS EDGE
11.20 GEOSYS
11.21 GRANULAR
11.22 GRO INTELLIGENCE
11.23 PRECISIONHAWK
11.24 PROAGRICA
11.25 RESSON
11.26 TARANIS
11.27 STESALIT SYSTEMS
11.28 FASAL
11.29 AGEYE TECHNOLOGIES
11.30 HELIOPAS AI
11.31 ONESOIL
11.32 ROOT AI
*Details on Business Overview, Solutions Offered, Recent Developments, Mnm View, Key Strengths/Right to Win, Strategic Choices Made, and Weakness and Competitive Threats might not be captured in case of unlisted companies.
12 ADJACENT AND RELATED MARKETS (Page No. - 227)
12.1 INTRODUCTION
12.2 PRECISION FARMING MARKET– GLOBAL FORECAST TO 2025
12.2.1 MARKET DEFINITION
12.2.2 MARKET OVERVIEW
12.2.2.1 Precision Farming Market, By Offering
TABLE 186 PRECISION FARMING MARKET, BY OFFERING, 2017–2025 (USD MILLION)
12.2.2.1.1 Hardware
TABLE 187 PRECISION FARMING MARKET FOR HARDWARE, BY TYPE, 2017–2025 (USD MILLION)
12.2.2.1.2 Software
TABLE 188 PRECISION FARMING MARKET FOR SOFTWARE, BY DEPLOYMENT TYPE, 2017–2025 (USD MILLION)
12.2.2.1.3 Service
TABLE 189 PRECISION FARMING MARKET FOR SERVICES, BY TYPE, 2017–2025 (USD MILLION)
12.2.2.2 Precision Farming Market, By Technology
TABLE 190 PRECISION FARMING MARKET, BY TECHNOLOGY, 2017–2025 (USD MILLION)
12.2.2.3 Precision Farming Market, By Application
TABLE 191 PRECISION FARMING MARKET, BY APPLICATION, 2017–2025 (USD MILLION)
12.2.2.4 Precision Farming Market, By Region
12.2.2.4.1 Introduction
TABLE 192 PRECISION FARMING MARKET, BY REGION, 2017–2025 (USD MILLION)
12.2.2.4.2 Americas
TABLE 193 PRECISION FARMING MARKET IN AMERICAS, BY REGION, 2017–2025 (USD MILLION)
12.2.2.4.2.1 North America
TABLE 194 PRECISION FARMING MARKET IN NORTH AMERICA, BY COUNTRY, 2017–2025 (USD MILLION)
12.2.2.4.2.2 South America
TABLE 195 PRECISION FARMING MARKET IN SOUTH AMERICA, BY COUNTRY, 2017–2025 (USD MILLION)
12.2.2.4.3 Europe
TABLE 196 PRECISION FARMING MARKET IN EUROPE, BY COUNTRY, 2017–2025 (USD MILLION)
12.2.2.4.4 Asia Pacific
TABLE 197 PRECISION FARMING MARKET IN APAC, BY COUNTRY, 2017–2025 (USD MILLION)
12.2.2.4.5 Rest of the World
TABLE 198 PRECISION FARMING MARKET IN ROW, BY GEOGRAPHY, 2017–2025 (USD MILLION)
12.3 AI IN AGRICULTURE MARKET– GLOBAL FORECAST TO 2024
12.3.1 MARKET DEFINITION
12.3.2 MARKET OVERVIEW
12.3.2.1 AI in Agriculture Market, By Technology
TABLE 199 AI IN AGRICULTURE MARKET, BY TECHNOLOGY, 2017–2026 (USD MILLION)
12.3.2.2 AI in Agriculture Market, By Offering
TABLE 200 AI IN AGRICULTURE MARKET, BY OFFERING, 2017–2026 (USD MILLION)
12.3.2.2.1 Hardware
TABLE 201 AI IN AGRICULTURE MARKET FOR HARDWARE, BY TYPE, 2017–2026 (USD MILLION)
12.3.2.2.2 Software
TABLE 202 AI IN AGRICULTURE MARKET FOR SOFTWARE, BY TYPE, 2017–2026 (USD MILLION)
12.3.2.2.3 Service
TABLE 203 AI IN AGRICULTURE MARKET FOR SERVICES, BY TYPE, 2017–2026 (USD MILLION)
12.3.2.3 AI in Agriculture Market, By Application
TABLE 204 AI IN AGRICULTURE MARKET, BY APPLICATION, 2017–2026 (USD MILLION)
12.3.2.4 AI in Agriculture Market, By Region
TABLE 205 ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET, BY REGION, 2017–2026 (USD MILLION)
12.3.2.4.1 Americas
TABLE 206 AI IN AGRICULTURE MARKET IN AMERICAS, BY REGION, 2017–2026 (USD MILLION)
12.3.2.4.1.1 North America
TABLE 207 AI IN AGRICULTURE MARKET IN NORTH AMERICA, BY COUNTRY, 2017–2026 (USD MILLION)
12.3.2.4.1.2 South America
TABLE 208 AI IN AGRICULTURE MARKET IN SOUTH AMERICA, BY COUNTRY, 2017–2026 (USD MILLION)
12.3.2.4.2 Europe
TABLE 209 AI IN AGRICULTURE MARKET IN EUROPE, BY COUNTRY, 2017–2026 (USD MILLION)
12.3.2.4.3 Asia Pacific
TABLE 210 AI IN AGRICULTURE MARKET IN ASIA PACIFIC, BY COUNTRY, 2017–2026 (USD MILLION)
12.3.2.4.4 Rest of the World
TABLE 211 AI IN AGRICULTURE MARKET IN ROW, BY REGION, 2017–2026 (USD MILLION)
13 APPENDIX (Page No. - 240)
13.1 INDUSTRY EXPERTS
13.2 DISCUSSION GUIDE
13.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
13.4 AVAILABLE CUSTOMIZATIONS
13.5 RELATED REPORTS
13.6 AUTHOR DETAILS
The study involved four major activities in estimating the current market size of the agriculture analytics market. Extensive secondary research was done to collect information on the market, peer market, and parent market. The next step was to validate these findings, assumptions, and sizing with industry experts across the value chain through primary research. Both top-down and bottom-up approaches were used to estimate the total market size. After that, the market breakup and data triangulation procedures were used to estimate the market size of the segments and subsegments of the agriculture analytics market.
Secondary Research
In the secondary research process, various secondary sources, such as D&B Hoovers and Bloomberg BusinessWeek, Dun Bradstreet, and Factiva, have been referred to for identifying and collecting information for this study. Secondary sources included annual reports; press releases and investor presentations of companies; whitepapers, certified publications and articles by recognized authors; gold standard and silver standard websites; Research and Development (R&D) organizations; regulatory bodies; and databases.
Primary Research
Various primary sources from both supply and demand sides were interviewed to obtain qualitative and quantitative information on the market. The primary sources from the supply side included various industry experts, including Chief X Officers (CXOs); Vice Presidents (VPs); directors from business development, marketing, and product development/innovation teams; related key executives from agriculture analytics solution vendors, system integrators, service providers, industry associations, and consultants; and key opinion leaders. All possible parameters that affect the market covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. Primary data has been collected through questionnaires, emails, and telephonic interviews. In the canvassing of primaries, various departments within organizations, such as sales, operations, and administration, were covered to provide a holistic viewpoint in our report.
After interacting with industry experts, brief sessions were conducted with highly experienced independent consultants to reinforce the findings from our primaries. This, along with the in-house subject matter experts’ opinions, has led us to the findings as described in the remainder of this report.
To know about the assumptions considered for the study, download the pdf brochure
Market Size Estimation
Both top-down and bottom-up approaches were used to estimate and validate the total size of the agriculture analytics market.
- In this approach, the overall agriculture analytics market size for each organization size have been considered at a country and regional level.
- Extensive secondary and primary research has been carried out to understand the global market scenario for various agriculture analytics platform type used in the key verticals.
- Several primary interviews have been conducted with key opinion leaders related to agriculture analytics providers, including key OEMs and Tier I suppliers
- Qualitative aspects such as market drivers, restraints, opportunities, and challenges have been taken into consideration while calculating and forecasting the market size.
Global agriculture analytics Market Size: Bottom-Up Approach
Data Triangulation
After arriving at the overall market size using the market size estimation processes as explained above, the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation, and market breakup procedures were employed, wherever applicable. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.
Report Objectives
- To define, segment, and project the global market size of the agriculture analytics market
- To understand the structure of the agriculture analytics market by identifying its various subsegments
- To provide detailed information about the key factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the growth of the market
- To analyze micromarkets concerning individual growth trends, prospects, and contributions to the overall market
- To analyze the market by component, application areas, farm size, deployment mode, and region
- To project the size of the market and its submarkets, in terms of value, for North America, Europe, Asia Pacific (APAC), the Middle East and Africa (MEA), and Latin America
- To profile key players and comprehensively analyze their core competencies
- To understand the competitive landscape and identify significant growth strategies adopted by players across key regions
- To analyze competitive developments, such as expansions and funding, new product launches, mergers and acquisitions, strategic partnerships, and agreements, in the agriculture analytics market
- To analyze the impact of COVID-19 pandemic on agriculture analytics market
Available customizations
MarketsandMarkets offers the following customizations for this market report:
- Additional country-level analysis of agriculture analytics market
- Profiling of additional market players (total up to 15)
- Country-level analysis of main 3 segments such as component, solutions, applications, organization size, deployment mode, industry vertical
Growth opportunities and latent adjacency in Agriculture Analytics Market
Who are the top players in APAC region for Agriculture Analytics Market