Agriculture Analytics Market
Agriculture Analytics Market Forecasts to 2030 - Global Analysis By Type (Farm Analytics, Livestock Analytics and Other Types), Agriculture Type (Aquaculture Farming, Livestock Farming and Other Agriculture Types), Component Type (Services and Solutions), Farm Size, Technology, Application, End User and By Geography
|
Years Covered |
2021-2030 |
|
Estimated Year Value (2023) |
US $1.4 BN |
|
Projected Year Value (2030) |
US $3.74 BN |
|
CAGR (2023 - 2030) |
15.1% |
|
Regions Covered |
North America, Europe, Asia Pacific, South America, and Middle East & Africa |
|
Countries Covered |
US, Canada, Mexico, Germany, UK, Italy, France, Spain, Japan, China, India, Australia, New Zealand, South Korea, Rest of Asia Pacific, South America, Argentina, Brazil, Chile, Middle East & Africa, Saudi Arabia, UAE, Qatar, and South Africa |
|
Largest Market |
Asia Pacific |
|
Highest Growing Market |
Europe |
According to Stratistics MRC, the Global Agriculture Analytics Market is accounted for $1.4 billion in 2023 and is expected to reach $3.74 billion by 2030 growing at a CAGR of 15.1% during the forecast period. Market intelligence, economic analysis, statistical consultancy, and scientific research goods that are suitable, precise, timely, and simple to understand are provided to recipients by agricultural analytics. Receivers of agricultural analytics services benefit from increased business efficiency, better understanding of the current commodity market environment, evaluation of new marketing opportunities, improved logistics and science-based operations, risk management, and the ability to develop creative solutions to complex marketing and production issues. More advanced agricultural monitoring systems are being developed with the use of data science.
According to the Food and Agriculture Organization, in 2019, Brazil accounted for 65-70% of all rice-growing areas in South America. The country produces 52% of all irrigated rice, 38% of all rain-fed rice, and 92% of all upland rice in the region.
Market Dynamics:
Driver:
Increased cutting-edge technologies
Agriculture analytics uses cutting-edge technology like big data, artificial intelligence, cloud computing, and the Internet of Things to manage and automate farming activities including crops, fields, animals, and others. Modern agricultural techniques are being used due to the rising global food demand. Due to the population's fast expansion; there will be a two-fold rise in future food consumption. As a result, it is projected that the use of agro analytics technology would help the sector in the future handle its problems. The amount of arable land is decreasing, which is showing similar tendencies. Urbanization, water shortages, climate change, and population increase have a significant negative influence on agricultural land.
Restraint:
Expensive accurate field data collection
The high cost of getting accurate field data is the main barrier to AI adoption in the agriculture sector. Farmers are hesitant to use AI technology to get exact field data since it demands high upfront expenses, effective farming equipment, and qualified and experienced farmers or growers, among other factors. Only two of the expenditures associated with AI-based farming are high-cost spatial data collecting and training. Drones and autonomous tractors employ GPS technology for navigation and mapping, which is costly and necessitates a substantial initial investment.
Opportunity:
Expanding usage of agricultural analytics on large farms
Due to its accessibility and capacity to increase profitability, agricultural analytics are being used more often on large farms, which is positive for the sector as a whole. Big farms conduct high-level commercial operations, producing large volumes of information and assisting farm analytics service providers in managing this data. As a result, the market is expanding and will probably continue to be a key contributor in the growth of the agricultural analytics industry. In addition, rising government attempts to educate farmers, use of agriculture analytics to enhance crop output, and dealing with erratic climatic fluctuations and environmental concerns are enhancing the market growth.
Threat:
Knowledge of technology and the skills gap
Significant obstacles to the expansion of the agriculture analytics sector include the lack of technological awareness and the skills gap. The lack of knowledge and comprehension among farmers and other agricultural stakeholders regarding the potential advantages of analytics in agriculture is a significant problem. The principles of data analysis and how it might enhance productivity and decision-making may not be well known to many people. The adoption of agriculture analytics solutions may be hampered by this lack of knowledge since potential users may not view them as beneficial or applicable to their operations.
Covid-19 Impact
The agricultural sector had run well during the shutdown. The Indian government has taken all essential steps to ensure that agriculture-related operations run smoothly. Agriculture and related pursuits were protected from the shutdown. Dealers, stores, and other input-related businesses were permitted to open their doors for free in order to provide farmers with inputs. The global economy has been severely disrupted by the onset and spread of the corona virus pandemic (COVID-19), which has caused an imbalance in every sector globally.
The farm analytics segment is expected to be the largest during the forecast period
The farm analytics segment is estimated to have a lucrative growth, due to insights that matter in the agricultural environment, agriculture experts are integrating artificial intelligence and data science to create on-farm predictive analytics. A growing trend in subscription-based services attempts to lower costs for farmers while also giving them access to real-time crop-condition notifications, additionally predictive modelling and job optimization will give total control over their upcoming harvest. Ag-Analytics and other businesses use insights from precision agricultural data to address concerns about weather effect. The business makes use of technologies like Farm Scope, which integrate data from several sources, including satellite, soil, weather, historical crop, and farm equipment data, to produce a study of the current condition of an agricultural area and a projection for future productivity.
The agronomists segment is expected to have the highest CAGR during the forecast period
The agronomists segment is anticipated to witness the highest CAGR growth during the forecast period, because agronomists are essential to agriculture analytics because they use data to enhance farming methods, maximize yields, and make sure agricultural systems are sustainable. Professionals with specialization in the science and application of crop production and soil management are known as agronomists. Agronomists collaborate closely with farmers, offering knowledgeable direction and assistance on a variety of crop production-related issues. To evaluate information gathered from fields, including soil samples, weather patterns, and crop performance data, they use agriculture analytics.
Region with largest share:
Asia Pacific is projected to hold the largest market share during the forecast period owing to the growing government initiative to automate and improve farming methods will increase the need for agriculture analytics. Furthermore, the nations' rapidly growing populations are what is driving the deployment of cutting-edge technology to boost yields. Growing government incentives to utilize modern agricultural methods, increasing pressure to fulfil the world's growing food demand, and unpredictable climate change and environmental circumstances are all driving the expansion of the agriculture analytics sector.
Region with highest CAGR:
Europe is projected to have the highest CAGR over the forecast period, owing to the region's dense concentration of suppliers for artificial intelligence, cloud computing, data analytics, big data, and other technologies. As a consequence of the increasing use of cutting-edge technology and the accessibility of vast amounts of data, farmers and agribusinesses are employing analytics to get deep knowledge about their operations and make informed decisions. The demand for fresh, high-quality food is rising, which is motivating the farming industry to use agriculture analytics. The market for agriculture analytics in this region is growing as a consequence of the widespread use of digital technologies, quick expansion of infrastructure, and need for data-driven solutions are driving the growth of the market in this region.
Key players in the market
Some of the key players profiled in the Agriculture Analytics Market include Ageagle Aerial Systems Inc, Agribotix, Agrivi, Bayer AG, Conservis Corporation, Deere & Company, Farmers Edge, Gro Intelligence, IBM Corporation, Iteris Inc, Monsanto, Oracle, PrecisionHawk, Inc., SAP SE, SAS Institute Inc., Taranis, Trimble Inc. and Vistex, Inc.
Key Developments:
In July 2023, Bayer extends Partnership with Peking University to foster Pharmaceutical Innovation in China; the collaboration will focus on selected key areas of interests, such as oncology, cardiorenal, immunology, as well as cell and gene therapy.
In May 2023, AgEagle Announces Compliance with NYSE Guidelines on Audit Opinion Disclosure, This announcement is being made solely to comply with the New York Stock Exchange’s Company Guide Sections 401(h) and 610(b), which require separate disclosure of receipt of an audit opinion that contains a going concern qualification.
In May 2023, AgEagle Releases “RedEdge-P dual” High Resolution Drone Sensor, the new RedEdge-P™ dual high resolution and RGB composite drone sensor, representing yet another AgEagle technological advancement in aerial imaging cameras.
Types Covered:
• Farm Analytics
• Livestock Analytics
• Other Types
Agriculture Types Covered:
• Aquaculture Farming
• Livestock Farming
• Precision Farming
• Vertical Farming
• Other Agriculture Types
Components Covered:
• Services
• Solutions
Farm Sizes Covered:
• Small and Medium-Sized Farms
• Large Farms
Technologies Covered:
• Big Data & Cloud Computing
• Visualization & Reporting
• Robotics & Automation
• Remote Sensing & Satellite Imagery
• Block chain Technology
• Geographic Information System
• Other Technologies
Applications Covered:
• Crop Management
• Weather Data Analytics
• Irrigation & Water Management
• Transportation
• Fertilizer Management
• Field Planning
• Aquaculture
• Other Applications
End Users Covered:
• Agronomists
• Farmers
• Agricultural Researchers
• Government Agencies
• Agribusinesses
• Other End Users
Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa
What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2021, 2022, 2023, 2026, and 2030
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements
Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances
Table of Contents
1 Executive Summary
2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions
3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 Technology Analysis
3.7 Application Analysis
3.8 End User Analysis
3.9 Emerging Markets
3.10 Impact of Covid-19
4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry
5 Global Agriculture Analytics Market, By Type
5.1 Introduction
5.2 Farm Analytics
5.3 Livestock Analytics
5.4 Other Types
6 Global Agriculture Analytics Market, By Agriculture Type
6.1 Introduction
6.2 Aquaculture Farming
6.2.1 Feeding Management
6.2.2 Water Quality Management
6.2.3 Pest & Disease Management
6.2.4 Aeration Systems
6.2.5 Fish Tracking & Fleet Navigation
6.2.6 Quality Control & Traceability
6.3 Livestock Farming
6.3.1 Heat Stress Management
6.3.2 Milk Harvesting
6.3.3 Breeding Managemnt
6.3.4 Behavior Monitoring & Mangement
6.3.5 Real-Time Monitoring
6.3.6 Calf Mangement
6.3.7 Feeding Management
6.3.8 Other Livestock Farmings
6.4 Precision Farming
6.4.1 Farm Labor Management
6.4.2 Variable Rate Technology
6.4.3 Decision Support Systems
6.4.4 Irrigation and Water Management
6.4.5 Soil Health Analysis
6.4.6 Yield Monitoring and Prediction
6.5 Vertical Farming
6.5.1 Nutrient Management
6.5.2 Resource Planning and Optimization
6.5.3 Planting and Seeding
6.5.4 Sustainability and Environmental Monitoring
6.5.5 Grading and Marketing
6.5.6 Supply Chain Management
6.5.6.1 Shipping Management
6.5.6.2 Inventory Management
6.5.6.3 Order Delivery and Invoice Management
6.5.7 Other Vertical Farmings
6.6 Other Agriculture Types
7 Global Agriculture Analytics Market, By Component
7.1 Introduction
7.2 Services
7.2.1 Professional Services
7.2.1.1 Training & Consulting
7.2.1.2 System Integration & Implementation
7.2.1.3 Support & Maintenance
7.2.2 Managed Services
7.2.2.1 Farm Operation Services
7.2.2.2 Data Services
7.2.2.3 Analytic Services
7.3 Solutions
8 Global Agriculture Analytics Market, By Farm Size
8.1 Introduction
8.2 Small and Medium-Sized Farms
8.3 Large Farms
9 Global Agriculture Analytics Market, By Technology
9.1 Introduction
9.2 Big Data & Cloud Computing
9.3 Visualization & Reporting
9.4 Robotics & Automation
9.5 Remote Sensing & Satellite Imagery
9.6 Blockchain Technology
9.7 Geographic Information System
9.8 Other Technologies
10 Global Agriculture Analytics Market, By Application
10.1 Introduction
10.2 Crop Management
10.3 Weather Data Analytics
10.4 Irrigation & Water Management
10.5 Transportation
10.6 Fertilizer Management
10.7 Field Planning
10.8 Acquaculture
10.9 Other Applications
11 Global Agriculture Analytics Market, By End User
11.1 Introduction
11.2 Agronomists
11.3 Farmers
11.4 Agricultural Researchers
11.5 Government Agencies
11.6 Agribusinesses
11.7 Other End Users
12 Global Agriculture Analytics Market, By Geography
12.1 Introduction
12.2 North America
12.2.1 US
12.2.2 Canada
12.2.3 Mexico
12.3 Europe
12.3.1 Germany
12.3.2 UK
12.3.3 Italy
12.3.4 France
12.3.5 Spain
12.3.6 Rest of Europe
12.4 Asia Pacific
12.4.1 Japan
12.4.2 China
12.4.3 India
12.4.4 Australia
12.4.5 New Zealand
12.4.6 South Korea
12.4.7 Rest of Asia Pacific
12.5 South America
12.5.1 Argentina
12.5.2 Brazil
12.5.3 Chile
12.5.4 Rest of South America
12.6 Middle East & Africa
12.6.1 Saudi Arabia
12.6.2 UAE
12.6.3 Qatar
12.6.4 South Africa
12.6.5 Rest of Middle East & Africa
13 Key Developments
13.1 Agreements, Partnerships, Collaborations and Joint Ventures
13.2 Acquisitions & Mergers
13.3 New Product Launch
13.4 Expansions
13.5 Other Key Strategies
14 Company Profiling
14.1 Ageagle Aerial Systems Inc
14.2 Agribotix
14.3 Agrivi
14.4 Bayer AG
14.5 Conservis Corporation
14.6 Deere & Company
14.7 Farmers Edge
14.8 Gro Intelligence
14.9 IBM Corporation
14.10 Iteris Inc
14.11 Monsanto
14.12 Oracle
14.14 PrecisionHawk, Inc.
14.13 SAP SE
14.15 SAS Institute Inc.
14.16 Taranis
14.17 Trimble Inc.
14.18 Vistex, Inc.
List of Tables
1 Global Agriculture Analytics Market Outlook, By Region (2021-2030) ($MN)
2 Global Agriculture Analytics Market Outlook, By Type (2021-2030) ($MN)
3 Global Agriculture Analytics Market Outlook, By Farm Analytics (2021-2030) ($MN)
4 Global Agriculture Analytics Market Outlook, By Livestock Analytics (2021-2030) ($MN)
5 Global Agriculture Analytics Market Outlook, By Other Types (2021-2030) ($MN)
6 Global Agriculture Analytics Market Outlook, By Agriculture Type (2021-2030) ($MN)
7 Global Agriculture Analytics Market Outlook, By Aquaculture Farming (2021-2030) ($MN)
8 Global Agriculture Analytics Market Outlook, By Feeding Management (2021-2030) ($MN)
9 Global Agriculture Analytics Market Outlook, By Water Quality Management (2021-2030) ($MN)
10 Global Agriculture Analytics Market Outlook, By Pest & Disease Management (2021-2030) ($MN)
11 Global Agriculture Analytics Market Outlook, By Aeration Systems (2021-2030) ($MN)
12 Global Agriculture Analytics Market Outlook, By Fish Tracking & Fleet Navigation (2021-2030) ($MN)
13 Global Agriculture Analytics Market Outlook, By Quality Control & Traceability (2021-2030) ($MN)
14 Global Agriculture Analytics Market Outlook, By Livestock Farming (2021-2030) ($MN)
15 Global Agriculture Analytics Market Outlook, By Heat Stress Management (2021-2030) ($MN)
16 Global Agriculture Analytics Market Outlook, By Milk Harvesting (2021-2030) ($MN)
17 Global Agriculture Analytics Market Outlook, By Breeding Managemnt (2021-2030) ($MN)
18 Global Agriculture Analytics Market Outlook, By Behavior Monitoring & Mangement (2021-2030) ($MN)
19 Global Agriculture Analytics Market Outlook, By Real-Time Monitoring (2021-2030) ($MN)
20 Global Agriculture Analytics Market Outlook, By Calf Mangement (2021-2030) ($MN)
21 Global Agriculture Analytics Market Outlook, By Feeding Management (2021-2030) ($MN)
22 Global Agriculture Analytics Market Outlook, By Other Livestock Farmings (2021-2030) ($MN)
23 Global Agriculture Analytics Market Outlook, By Precision Farming (2021-2030) ($MN)
24 Global Agriculture Analytics Market Outlook, By Farm Labor Management (2021-2030) ($MN)
25 Global Agriculture Analytics Market Outlook, By Variable Rate Technology (2021-2030) ($MN)
26 Global Agriculture Analytics Market Outlook, By Decision Support Systems (2021-2030) ($MN)
27 Global Agriculture Analytics Market Outlook, By Irrigation and Water Management (2021-2030) ($MN)
28 Global Agriculture Analytics Market Outlook, By Soil Health Analysis (2021-2030) ($MN)
29 Global Agriculture Analytics Market Outlook, By Yield Monitoring and Prediction (2021-2030) ($MN)
30 Global Agriculture Analytics Market Outlook, By Vertical Farming (2021-2030) ($MN)
31 Global Agriculture Analytics Market Outlook, By Nutrient Management (2021-2030) ($MN)
32 Global Agriculture Analytics Market Outlook, By Resource Planning and Optimization (2021-2030) ($MN)
33 Global Agriculture Analytics Market Outlook, By Planting and Seeding (2021-2030) ($MN)
34 Global Agriculture Analytics Market Outlook, By Sustainability and Environmental Monitoring (2021-2030) ($MN)
35 Global Agriculture Analytics Market Outlook, By Grading and Marketing (2021-2030) ($MN)
36 Global Agriculture Analytics Market Outlook, By Supply Chain Management (2021-2030) ($MN)
37 Global Agriculture Analytics Market Outlook, By Shipping Management (2021-2030) ($MN)
38 Global Agriculture Analytics Market Outlook, By Inventory Management (2021-2030) ($MN)
39 Global Agriculture Analytics Market Outlook, By Order Delivery and Invoice Management (2021-2030) ($MN)
40 Global Agriculture Analytics Market Outlook, By Other Vertical Farmings (2021-2030) ($MN)
41 Global Agriculture Analytics Market Outlook, By Other Agriculture Types (2021-2030) ($MN)
42 Global Agriculture Analytics Market Outlook, By Component (2021-2030) ($MN)
43 Global Agriculture Analytics Market Outlook, By Services (2021-2030) ($MN)
44 Global Agriculture Analytics Market Outlook, By Professional Services (2021-2030) ($MN)
45 Global Agriculture Analytics Market Outlook, By Training & Consulting (2021-2030) ($MN)
46 Global Agriculture Analytics Market Outlook, By System Integration & Implementation (2021-2030) ($MN)
47 Global Agriculture Analytics Market Outlook, By Support & Maintenance (2021-2030) ($MN)
48 Global Agriculture Analytics Market Outlook, By Managed Services (2021-2030) ($MN)
49 Global Agriculture Analytics Market Outlook, By Farm Operation Services (2021-2030) ($MN)
50 Global Agriculture Analytics Market Outlook, By Data Services (2021-2030) ($MN)
51 Global Agriculture Analytics Market Outlook, By Analytic Services (2021-2030) ($MN)
52 Global Agriculture Analytics Market Outlook, By Solutions (2021-2030) ($MN)
53 Global Agriculture Analytics Market Outlook, By Farm Size (2021-2030) ($MN)
54 Global Agriculture Analytics Market Outlook, By Small and Medium-Sized Farms (2021-2030) ($MN)
55 Global Agriculture Analytics Market Outlook, By Large Farms (2021-2030) ($MN)
56 Global Agriculture Analytics Market Outlook, By Technology (2021-2030) ($MN)
57 Global Agriculture Analytics Market Outlook, By Big Data & Cloud Computing (2021-2030) ($MN)
58 Global Agriculture Analytics Market Outlook, By Visualization & Reporting (2021-2030) ($MN)
59 Global Agriculture Analytics Market Outlook, By Robotics & Automation (2021-2030) ($MN)
60 Global Agriculture Analytics Market Outlook, By Remote Sensing & Satellite Imagery (2021-2030) ($MN)
61 Global Agriculture Analytics Market Outlook, By Blockchain Technology (2021-2030) ($MN)
62 Global Agriculture Analytics Market Outlook, By Geographic Information System (2021-2030) ($MN)
63 Global Agriculture Analytics Market Outlook, By Other Technologies (2021-2030) ($MN)
64 Global Agriculture Analytics Market Outlook, By Application (2021-2030) ($MN)
65 Global Agriculture Analytics Market Outlook, By Crop Management (2021-2030) ($MN)
66 Global Agriculture Analytics Market Outlook, By Weather Data Analytics (2021-2030) ($MN)
67 Global Agriculture Analytics Market Outlook, By Irrigation & Water Management (2021-2030) ($MN)
68 Global Agriculture Analytics Market Outlook, By Transportation (2021-2030) ($MN)
69 Global Agriculture Analytics Market Outlook, By Fertilizer Management (2021-2030) ($MN)
70 Global Agriculture Analytics Market Outlook, By Field Planning (2021-2030) ($MN)
71 Global Agriculture Analytics Market Outlook, By Acquaculture (2021-2030) ($MN)
72 Global Agriculture Analytics Market Outlook, By Other Applications (2021-2030) ($MN)
73 Global Agriculture Analytics Market Outlook, By End User (2021-2030) ($MN)
74 Global Agriculture Analytics Market Outlook, By Agronomists (2021-2030) ($MN)
75 Global Agriculture Analytics Market Outlook, By Farmers (2021-2030) ($MN)
76 Global Agriculture Analytics Market Outlook, By Agricultural Researchers (2021-2030) ($MN)
77 Global Agriculture Analytics Market Outlook, By Government Agencies (2021-2030) ($MN)
78 Global Agriculture Analytics Market Outlook, By Agribusinesses (2021-2030) ($MN)
79 Global Agriculture Analytics Market Outlook, By Other End Users (2021-2030) ($MN)
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.
List of Figures
RESEARCH METHODOLOGY
We at ‘Stratistics’ opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.
Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.
Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.
Data Mining
The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.
Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.
Data Analysis
From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:
- Product Lifecycle Analysis
- Competitor analysis
- Risk analysis
- Porters Analysis
- PESTEL Analysis
- SWOT Analysis
The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.
Data Validation
The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.
We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.
The data validation involves the primary research from the industry experts belonging to:
- Leading Companies
- Suppliers & Distributors
- Manufacturers
- Consumers
- Industry/Strategic Consultants
Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.
For more details about research methodology, kindly write to us at info@strategymrc.com
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