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The base year for the study has been considered 2019, historic year 2014 and 2018. Read More

What are the significant segments operating in the market?

Market is segmented on the basis. Read More

What are the vital market dynamics?

The report offers in-depth analysis of driving factors, opportunities, restraints, and challenges for gaining the key insight of the market. Read More

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Global AI in Agriculture Market 2020 by Company, Regions, Type and Application, Forecast to 2025

Publish Date: Mar, 2020
Report ID: 415702
Category: Technology
Pages: 102

$3480

Market Overview

The global AI in Agriculture market size is expected to gain market growth in the forecast period of 2020 to 2025, with a CAGR of 12.2% in the forecast period of 2020 to 2025 and will expected to reach USD 993 million by 2025, from USD 626.4 million in 2019.

The AI in Agriculture market report provides a detailed analysis of global market size, regional and country-level market size, segmentation market growth, market share, competitive Landscape, sales analysis, impact of domestic and global market players, value chain optimization, trade regulations, recent developments, opportunities analysis, strategic market growth analysis, product launches, area marketplace expanding, and technological innovations.

Market segmentation

AI in Agriculture market is split by Type and by Application. For the period 2015-2025, the growth among segments provide accurate calculations and forecasts for sales by Type and by Application in terms of volume and value. This analysis can help you expand your business by targeting qualified niche markets.

By Type, AI in Agriculture market has been segmented into:

Machine Learning

Computer Vision

Predictive Analytics

By Application, AI in Agriculture has been segmented into:

Precision Farming

Livestock Monitoring

Drone Analytics

Agriculture Robots

Others

Regions and Countries Level Analysis

Regional analysis is another highly comprehensive part of the research and analysis study of the global AI in Agriculture market presented in the report. This section sheds light on the sales growth of different regional and country-level AI in Agriculture markets. For the historical and forecast period 2015 to 2025, it provides detailed and accurate country-wise volume analysis and region-wise market size analysis of the global AI in Agriculture market.

The report offers in-depth assessment of the growth and other aspects of the AI in Agriculture market in important countries (regions), including:

North America (United States, Canada and Mexico)

Europe (Germany, France, UK, Russia and Italy)

Asia-Pacific (China, Japan, Korea, India, Southeast Asia and Australia)

South America (Brazil, Argentina, Colombia)

Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

Competitive Landscape and AI in Agriculture Market Share Analysis

AI in Agriculture competitive landscape provides details by vendors, including company overview, company total revenue (financials), market potential, global presence, AI in Agriculture sales and revenue generated, market share, price, production sites and facilities, SWOT analysis, product launch. For the period 2015-2020, this study provides the AI in Agriculture sales, revenue and market share for each player covered in this report.

The major players covered in AI in Agriculture are:

Ag Leader Technology

Granular

Iteris

Trimble

Gamaya

John Deere

Prospera

aWhere

AGCO

Raven Industries

Skysquirrel Technologies

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Table of Contents

1 AI in Agriculture Market Overview

1.1 Product Overview and Scope of AI in Agriculture

1.2 Classification of AI in Agriculture by Type

1.2.1 Global AI in Agriculture Revenue by Type: 2015 VS 2019 VS 2025

1.2.2 Global AI in Agriculture Revenue Market Share by Type in 2019

1.2.3 Machine Learning

1.2.4 Computer Vision

1.2.5 Predictive Analytics

1.3 Global AI in Agriculture Market by Application

1.3.1 Overview: Global AI in Agriculture Revenue by Application: 2015 VS 2019 VS 2025

1.3.2 Precision Farming

1.3.3 Livestock Monitoring

1.3.4 Drone Analytics

1.3.5 Agriculture Robots

1.3.6 Others

1.4 Global AI in Agriculture Market by Regions

1.4.1 Global AI in Agriculture Market Size by Regions: 2015 VS 2019 VS 2025

1.4.2 Global Market Size of AI in Agriculture (2015-2025)

1.4.3 North America (USA, Canada and Mexico) AI in Agriculture Status and Prospect (2015-2025)

1.4.4 Europe (Germany, France, UK, Russia and Italy) AI in Agriculture Status and Prospect (2015-2025)

1.4.5 Asia-Pacific (China, Japan, Korea, India and Southeast Asia) AI in Agriculture Status and Prospect (2015-2025)

1.4.6 South America (Brazil, Argentina, Colombia) AI in Agriculture Status and Prospect (2015-2025)

1.4.7 Middle East & Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa) AI in Agriculture Status and Prospect (2015-2025)

2 Company Profiles

2.1 Ag Leader Technology

2.1.1 Ag Leader Technology Details

2.1.2 Ag Leader Technology Major Business and Total Revenue (Financial Highlights) Analysis

2.1.3 Ag Leader Technology SWOT Analysis

2.1.4 Ag Leader Technology Product and Services

2.1.5 Ag Leader Technology AI in Agriculture Revenue, Gross Margin and Market Share (2018-2019)

2.2 Granular

2.2.1 Granular Details

2.2.2 Granular Major Business and Total Revenue (Financial Highlights) Analysis

2.2.3 Granular SWOT Analysis

2.2.4 Granular Product and Services

2.2.5 Granular AI in Agriculture Revenue, Gross Margin and Market Share (2018-2019)

2.3 Iteris

2.3.1 Iteris Details

2.3.2 Iteris Major Business and Total Revenue (Financial Highlights) Analysis

2.3.3 Iteris SWOT Analysis

2.3.4 Iteris Product and Services

2.3.5 Iteris AI in Agriculture Revenue, Gross Margin and Market Share (2018-2019)

2.4 Trimble

2.4.1 Trimble Details

2.4.2 Trimble Major Business and Total Revenue (Financial Highlights) Analysis

2.4.3 Trimble SWOT Analysis

2.4.4 Trimble Product and Services

2.4.5 Trimble AI in Agriculture Revenue, Gross Margin and Market Share (2018-2019)

2.5 Gamaya

2.5.1 Gamaya Details

2.5.2 Gamaya Major Business and Total Revenue (Financial Highlights) Analysis

2.5.3 Gamaya SWOT Analysis

2.5.4 Gamaya Product and Services

2.5.5 Gamaya AI in Agriculture Revenue, Gross Margin and Market Share (2018-2019)

2.6 John Deere

2.6.1 John Deere Details

2.6.2 John Deere Major Business and Total Revenue (Financial Highlights) Analysis

2.6.3 John Deere SWOT Analysis

2.6.4 John Deere Product and Services

2.6.5 John Deere AI in Agriculture Revenue, Gross Margin and Market Share (2018-2019)

2.7 Prospera

2.7.1 Prospera Details

2.7.2 Prospera Major Business and Total Revenue (Financial Highlights) Analysis

2.7.3 Prospera SWOT Analysis

2.7.4 Prospera Product and Services

2.7.5 Prospera AI in Agriculture Revenue, Gross Margin and Market Share (2018-2019)

2.8 aWhere

2.8.1 aWhere Details

2.8.2 aWhere Major Business and Total Revenue (Financial Highlights) Analysis

2.8.3 aWhere SWOT Analysis

2.8.4 aWhere Product and Services

2.8.5 aWhere AI in Agriculture Revenue, Gross Margin and Market Share (2018-2019)

2.9 AGCO

2.9.1 AGCO Details

2.9.2 AGCO Major Business and Total Revenue (Financial Highlights) Analysis

2.9.3 AGCO SWOT Analysis

2.9.4 AGCO Product and Services

2.9.5 AGCO AI in Agriculture Revenue, Gross Margin and Market Share (2018-2019)

2.10 Raven Industries

2.10.1 Raven Industries Details

2.10.2 Raven Industries Major Business and Total Revenue (Financial Highlights) Analysis

2.10.3 Raven Industries SWOT Analysis

2.10.4 Raven Industries Product and Services

2.10.5 Raven Industries AI in Agriculture Revenue, Gross Margin and Market Share (2018-2019)

2.11 Skysquirrel Technologies

2.11.1 Skysquirrel Technologies Details

2.11.2 Skysquirrel Technologies Major Business and Total Revenue (Financial Highlights) Analysis

2.11.3 Skysquirrel Technologies SWOT Analysis

2.11.4 Skysquirrel Technologies Product and Services

2.11.5 Skysquirrel Technologies AI in Agriculture Revenue, Gross Margin and Market Share (2018-2019)

3 Market Competition, by Players

3.1 Global AI in Agriculture Revenue and Share by Players (2015-2020)

3.2 Market Concentration Rate

3.2.1 Top 5 AI in Agriculture Players Market Share

3.2.2 Top 10 AI in Agriculture Players Market Share

3.3 Market Competition Trend

4 Market Size by Regions

4.1 Global AI in Agriculture Revenue and Market Share by Regions

4.2 North America AI in Agriculture Revenue and Growth Rate (2015-2020)

4.3 Europe AI in Agriculture Revenue and Growth Rate (2015-2020)

4.4 Asia-Pacific AI in Agriculture Revenue and Growth Rate (2015-2020)

4.5 South America AI in Agriculture Revenue and Growth Rate (2015-2020)

4.6 Middle East & Africa AI in Agriculture Revenue and Growth Rate (2015-2020)

5 North America AI in Agriculture Revenue by Countries

5.1 North America AI in Agriculture Revenue by Countries (2015-2020)

5.2 USA AI in Agriculture Revenue and Growth Rate (2015-2020)

5.3 Canada AI in Agriculture Revenue and Growth Rate (2015-2020)

5.4 Mexico AI in Agriculture Revenue and Growth Rate (2015-2020)

6 Europe AI in Agriculture Revenue by Countries

6.1 Europe AI in Agriculture Revenue by Countries (2015-2020)

6.2 Germany AI in Agriculture Revenue and Growth Rate (2015-2020)

6.3 UK AI in Agriculture Revenue and Growth Rate (2015-2020)

6.4 France AI in Agriculture Revenue and Growth Rate (2015-2020)

6.5 Russia AI in Agriculture Revenue and Growth Rate (2015-2020)

6.6 Italy AI in Agriculture Revenue and Growth Rate (2015-2020)

7 Asia-Pacific AI in Agriculture Revenue by Countries

7.1 Asia-Pacific AI in Agriculture Revenue by Countries (2015-2020)

7.2 China AI in Agriculture Revenue and Growth Rate (2015-2020)

7.3 Japan AI in Agriculture Revenue and Growth Rate (2015-2020)

7.4 Korea AI in Agriculture Revenue and Growth Rate (2015-2020)

7.5 India AI in Agriculture Revenue and Growth Rate (2015-2020)

7.6 Southeast Asia AI in Agriculture Revenue and Growth Rate (2015-2020)

8 South America AI in Agriculture Revenue by Countries

8.1 South America AI in Agriculture Revenue by Countries (2015-2020)

8.2 Brazil AI in Agriculture Revenue and Growth Rate (2015-2020)

8.3 Argentina AI in Agriculture Revenue and Growth Rate (2015-2020)

9 Middle East & Africa Revenue AI in Agriculture by Countries

9.1 Middle East & Africa AI in Agriculture Revenue by Countries (2015-2020)

9.2 Saudi Arabia AI in Agriculture Revenue and Growth Rate (2015-2020)

9.3 UAE AI in Agriculture Revenue and Growth Rate (2015-2020)

9.4 Egypt AI in Agriculture Revenue and Growth Rate (2015-2020)

9.5 South Africa AI in Agriculture Revenue and Growth Rate (2015-2020)

10 Market Size Segment by Type

10.1 Global AI in Agriculture Revenue and Market Share by Type (2015-2020)

10.2 Global AI in Agriculture Market Forecast by Type (2019-2024)

10.3 Machine Learning Revenue Growth Rate (2015-2025)

10.4 Computer Vision Revenue Growth Rate (2015-2025)

10.5 Predictive Analytics Revenue Growth Rate (2015-2025)

11 Global AI in Agriculture Market Segment by Application

11.1 Global AI in Agriculture Revenue Market Share by Application (2015-2020)

11.2 AI in Agriculture Market Forecast by Application (2019-2024)

11.3 Precision Farming Revenue Growth (2015-2020)

11.4 Livestock Monitoring Revenue Growth (2015-2020)

11.5 Drone Analytics Revenue Growth (2015-2020)

11.6 Agriculture Robots Revenue Growth (2015-2020)

11.7 Others Revenue Growth (2015-2020)

12 Global AI in Agriculture Market Size Forecast (2021-2025)

12.1 Global AI in Agriculture Market Size Forecast (2021-2025)

12.2 Global AI in Agriculture Market Forecast by Regions (2021-2025)

12.3 North America AI in Agriculture Revenue Market Forecast (2021-2025)

12.4 Europe AI in Agriculture Revenue Market Forecast (2021-2025)

12.5 Asia-Pacific AI in Agriculture Revenue Market Forecast (2021-2025)

12.6 South America AI in Agriculture Revenue Market Forecast (2021-2025)

12.7 Middle East & Africa AI in Agriculture Revenue Market Forecast (2021-2025)

13 Research Findings and Conclusion

14 Appendix

14.1 Methodology

14.2 Data Source

14.3 Disclaimer

14.4 About US

List of Tables

Table 1. Global AI in Agriculture Revenue (USD Million) by Type: 2015 VS 2019 VS 2025

Table 2. Breakdown of AI in Agriculture by Company Type (Tier 1, Tier 2 and Tier 3)

Table 3. Global AI in Agriculture Revenue (USD Million) by Application: 2015 VS 2019 VS 2025

Table 4. Global Market AI in Agriculture Revenue (Million USD) Comparison by Regions 2015-2025

Table 5. Ag Leader Technology Corporate Information, Location and Competitors

Table 6. Ag Leader Technology AI in Agriculture Major Business

Table 7. Ag Leader Technology AI in Agriculture Total Revenue (USD Million) (2017-2018)

Table 8. Ag Leader Technology SWOT Analysis

Table 9. Ag Leader Technology AI in Agriculture Product and Solutions

Table 10. Ag Leader Technology AI in Agriculture Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 11. Granular Corporate Information, Location and Competitors

Table 12. Granular AI in Agriculture Major Business

Table 13. Granular AI in Agriculture Total Revenue (USD Million) (2018-2019)

Table 14. Granular SWOT Analysis

Table 15. Granular AI in Agriculture Product and Solutions

Table 16. Granular AI in Agriculture Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 17. Iteris Corporate Information, Location and Competitors

Table 18. Iteris AI in Agriculture Major Business

Table 19. Iteris AI in Agriculture Total Revenue (USD Million) (2017-2018)

Table 20. Iteris SWOT Analysis

Table 21. Iteris AI in Agriculture Product and Solutions

Table 22. Iteris AI in Agriculture Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 23. Trimble Corporate Information, Location and Competitors

Table 24. Trimble AI in Agriculture Major Business

Table 25. Trimble AI in Agriculture Total Revenue (USD Million) (2017-2018)

Table 26. Trimble SWOT Analysis

Table 27. Trimble AI in Agriculture Product and Solutions

Table 28. Trimble AI in Agriculture Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 29. Gamaya Corporate Information, Location and Competitors

Table 30. Gamaya AI in Agriculture Major Business

Table 31. Gamaya AI in Agriculture Total Revenue (USD Million) (2017-2018)

Table 32. Gamaya SWOT Analysis

Table 33. Gamaya AI in Agriculture Product and Solutions

Table 34. Gamaya AI in Agriculture Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 35. John Deere Corporate Information, Location and Competitors

Table 36. John Deere AI in Agriculture Major Business

Table 37. John Deere AI in Agriculture Total Revenue (USD Million) (2017-2018)

Table 38. John Deere SWOT Analysis

Table 39. John Deere AI in Agriculture Product and Solutions

Table 40. John Deere AI in Agriculture Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 41. Prospera Corporate Information, Location and Competitors

Table 42. Prospera AI in Agriculture Major Business

Table 43. Prospera AI in Agriculture Total Revenue (USD Million) (2017-2018)

Table 44. Prospera SWOT Analysis

Table 45. Prospera AI in Agriculture Product and Solutions

Table 46. Prospera AI in Agriculture Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 47. aWhere Corporate Information, Location and Competitors

Table 48. aWhere AI in Agriculture Major Business

Table 49. aWhere AI in Agriculture Total Revenue (USD Million) (2017-2018)

Table 50. aWhere SWOT Analysis

Table 51. aWhere AI in Agriculture Product and Solutions

Table 52. aWhere AI in Agriculture Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 53. AGCO Corporate Information, Location and Competitors

Table 54. AGCO AI in Agriculture Major Business

Table 55. AGCO AI in Agriculture Total Revenue (USD Million) (2017-2018)

Table 56. AGCO SWOT Analysis

Table 57. AGCO AI in Agriculture Product and Solutions

Table 58. AGCO AI in Agriculture Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 59. Raven Industries Corporate Information, Location and Competitors

Table 60. Raven Industries AI in Agriculture Major Business

Table 61. Raven Industries AI in Agriculture Total Revenue (USD Million) (2017-2018)

Table 62. Raven Industries SWOT Analysis

Table 63. Raven Industries AI in Agriculture Product and Solutions

Table 64. Raven Industries AI in Agriculture Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 65. Skysquirrel Technologies Corporate Information, Location and Competitors

Table 66. Skysquirrel Technologies AI in Agriculture Major Business

Table 67. Skysquirrel Technologies AI in Agriculture Total Revenue (USD Million) (2017-2018)

Table 68. Skysquirrel Technologies SWOT Analysis

Table 69. Skysquirrel Technologies AI in Agriculture Product and Solutions

Table 70. Skysquirrel Technologies AI in Agriculture Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 71. Global AI in Agriculture Revenue (Million USD) by Players (2015-2020)

Table 72. Global AI in Agriculture Revenue Share by Players (2015-2020)

Table 73. Global AI in Agriculture Revenue (Million USD) by Regions (2015-2020)

Table 74. Global AI in Agriculture Revenue Market Share by Regions (2015-2020)

Table 75. North America AI in Agriculture Revenue by Countries (2015-2020)

Table 76. North America AI in Agriculture Revenue Market Share by Countries (2015-2020)

Table 77. Europe AI in Agriculture Revenue (Million USD) by Countries (2015-2020)

Table 78. Asia-Pacific AI in Agriculture Revenue (Million USD) by Countries (2015-2020)

Table 79. South America AI in Agriculture Revenue by Countries (2015-2020)

Table 80. South America AI in Agriculture Revenue Market Share by Countries (2015-2020)

Table 81. Middle East and Africa AI in Agriculture Revenue (Million USD) by Countries (2015-2020)

Table 82. Middle East and Africa AI in Agriculture Revenue Market Share by Countries (2015-2020)

Table 83. Global AI in Agriculture Revenue (Million USD) by Type (2015-2020)

Table 84. Global AI in Agriculture Revenue Share by Type (2015-2020)

Table 85. Global AI in Agriculture Revenue Forecast by Type (2021-2025)

Table 86. Global AI in Agriculture Revenue by Application (2015-2020)

Table 87. Global AI in Agriculture Revenue Share by Application (2015-2020)

Table 88. Global AI in Agriculture Revenue Forecast by Application (2021-2025)

Table 89. Global AI in Agriculture Revenue (Million USD) Forecast by Regions (2021-2025)

List of Figures

Figure 1. AI in Agriculture Picture

Figure 2. Global AI in Agriculture Revenue Market Share by Type in 2019

Figure 3. Machine Learning Picture

Figure 4. Computer Vision Picture

Figure 5. Predictive Analytics Picture

Figure 6. AI in Agriculture Revenue Market Share by Application in 2019

Figure 7. Precision Farming Picture

Figure 8. Livestock Monitoring Picture

Figure 9. Drone Analytics Picture

Figure 10. Agriculture Robots Picture

Figure 11. Others Picture

Figure 12. Global AI in Agriculture Revenue (USD Million) and Growth Rate (2015-2025)

Figure 13. North America AI in Agriculture Revenue (Million USD) and Growth Rate (2015-2025)

Figure 14. Europe AI in Agriculture Revenue (Million USD) and Growth Rate (2015-2025)

Figure 15. Asia-Pacific AI in Agriculture Revenue (Million USD) and Growth Rate (2015-2025)

Figure 16. South America AI in Agriculture Revenue (Million USD) and Growth Rate (2015-2025)

Figure 17. Middle East and Africa AI in Agriculture Revenue (Million USD) and Growth Rate (2015-2025)

Figure 18. Global AI in Agriculture Revenue (Million USD) and Growth Rate (2015-2025)

Figure 19. Global AI in Agriculture Revenue Share by Players in 2019

Figure 20. Global Top 5 Players AI in Agriculture Revenue Market Share in 2019

Figure 21. Global Top 10 Players AI in Agriculture Revenue Market Share in 2019

Figure 22. Key Players Market Share Trend

Figure 23. Global AI in Agriculture Revenue (Million USD) and Growth Rate (%) (2015-2020)

Figure 24. Global AI in Agriculture Revenue Market Share by Regions (2015-2020)

Figure 25. Global AI in Agriculture Revenue Market Share by Regions in 2018

Figure 26. North America AI in Agriculture Revenue and Growth Rate (2015-2020)

Figure 27. Europe AI in Agriculture Revenue and Growth Rate (2015-2020)

Figure 28. Asia-Pacific AI in Agriculture Revenue and Growth Rate (2015-2020)

Figure 29. South America AI in Agriculture Revenue and Growth Rate (2015-2020)

Figure 30. Middle East and Africa AI in Agriculture Revenue and Growth Rate (2015-2020)

Figure 31. North America AI in Agriculture Revenue Market Share by Countries (2015-2020)

Figure 32. North America AI in Agriculture Revenue Market Share by Countries in 2019

Figure 33. USA AI in Agriculture Revenue and Growth Rate (2015-2020)

Figure 34. Canada AI in Agriculture Revenue and Growth Rate (2015-2020)

Figure 35. Mexico AI in Agriculture Revenue and Growth Rate (2015-2020)

Figure 36. Europe AI in Agriculture Revenue Market Share by Countries (2015-2020)

Figure 37. Europe AI in Agriculture Revenue Market Share by Countries in 2019

Figure 38. Germany AI in Agriculture Revenue and Growth Rate (2015-2020)

Figure 39. UK AI in Agriculture Revenue and Growth Rate (2015-2020)

Figure 40. France AI in Agriculture Revenue and Growth Rate (2015-2020)

Figure 41. Russia AI in Agriculture Revenue and Growth Rate (2015-2020)

Figure 42. Italy AI in Agriculture Revenue and Growth Rate (2015-2020)

Figure 43. Asia-Pacific AI in Agriculture Revenue Market Share by Countries (2015-2020)

Figure 44. Asia-Pacific AI in Agriculture Revenue Market Share by Countries in 2019

Figure 45. China AI in Agriculture Revenue and Growth Rate (2015-2020)

Figure 46. Japan AI in Agriculture Revenue and Growth Rate (2015-2020)

Figure 47. Korea AI in Agriculture Revenue and Growth Rate (2015-2020)

Figure 48. India AI in Agriculture Revenue and Growth Rate (2015-2020)

Figure 49. Southeast Asia AI in Agriculture Revenue and Growth Rate (2015-2020)

Figure 50. South America AI in Agriculture Revenue Market Share by Countries (2015-2020)

Figure 51. South America AI in Agriculture Revenue Market Share by Countries in 2019

Figure 52. Brazil AI in Agriculture Revenue and Growth Rate (2015-2020)

Figure 53. Argentina AI in Agriculture Revenue and Growth Rate (2015-2020)

Figure 54. Middle East and Africa AI in Agriculture Revenue Market Share by Countries (2015-2020)

Figure 55. Middle East and Africa AI in Agriculture Revenue Market Share by Countries in 2019

Figure 56. Saudi Arabia AI in Agriculture Revenue and Growth Rate (2015-2020)

Figure 57. UAE AI in Agriculture Revenue and Growth Rate (2015-2020)

Figure 58. Egypt AI in Agriculture Revenue and Growth Rate (2015-2020)

Figure 59. South Africa AI in Agriculture Revenue and Growth Rate (2015-2020)

Figure 60. Global AI in Agriculture Revenue Share by Type (2015-2020)

Figure 61. Global AI in Agriculture Revenue Share by Type in 2019

Figure 62. Global AI in Agriculture Market Share Forecast by Type (2021-2025)

Figure 63. Global Machine Learning Revenue Growth Rate (2015-2020)

Figure 64. Global Computer Vision Revenue Growth Rate (2015-2020)

Figure 65. Global Predictive Analytics Revenue Growth Rate (2015-2020)

Figure 66. Global AI in Agriculture Revenue Share by Application (2015-2020)

Figure 67. Global AI in Agriculture Revenue Share by Application in 2019

Figure 68. Global AI in Agriculture Market Share Forecast by Application (2021-2025)

Figure 69. Global Precision Farming Revenue Growth Rate (2015-2020)

Figure 70. Global Livestock Monitoring Revenue Growth Rate (2015-2020)

Figure 71. Global Drone Analytics Revenue Growth Rate (2015-2020)

Figure 72. Global Agriculture Robots Revenue Growth Rate (2015-2020)

Figure 73. Global Others Revenue Growth Rate (2015-2020)

Figure 74. Global AI in Agriculture Revenue (Million USD) and Growth Rate Forecast (2021-2025)

Figure 75. Global AI in Agriculture Revenue (Million USD) Forecast by Regions (2021-2025)

Figure 76. Global AI in Agriculture Revenue Market Share Forecast by Regions (2021-2025)

Figure 77. North America AI in Agriculture Revenue Market Forecast (2021-2025)

Figure 78. Europe AI in Agriculture Revenue Market Forecast (2021-2025)

Figure 79. Asia-Pacific AI in Agriculture Revenue Market Forecast (2021-2025)

Figure 80. South America AI in Agriculture Revenue Market Forecast (2021-2025)

Figure 81. Middle East and Africa AI in Agriculture Revenue Market Forecast (2021-2025)

Figure 82. Sales Channel: Direct Channel vs Indirect Channel

Research Methodology

Market research is a method of gathering, assessing and deducing data & information about a particular market. Market research is very crucial in these days. The techniques analyze about how a product/service can be offered to the market to its end-customers, observe the impact of that product/service based on the past customer experiences, and cater their needs and demands. Owing to the successful business ventures, accurate, relevant and thorough information is the base for all the organizations because market research report/study offers specific market related data & information about the industry growth prospects, perspective of the existing customers, and the overall market scenario prevailed in past, ongoing present and developing future. It allows the stakeholders and investors to determine the probability of a business before committing substantial resources to the venture. Market research helps in solving the marketing issues challenges that a business will most likely face.

Market research is valuable because of the following reasons:

Market research helps businesses strengthen a company’s position
Market research helps in minimizing the investment risks associated with the businesses in any industry vertical
Market research helps in identifying the potential threats and opportunities associated with the business industry
Market research aids in spotting the emerging trends and facilitates strategic planning in order to stay ahead in the competition

Our research report features both the aspects; qualitative and quantitative. Qualitative part provides insights about the market driving forces, potential opportunities, customer’s demands and requirement which in turn help the companies to come up with new strategies in order to survive in the long run competition. The quantitative segment offers the most credible information related to the industry. Based on the data gathering, we use to derive the market size and estimate their future growth prospects on the basis of global, region and country.

Our market research process involves with the four specific stages.

Data Collection
Data Synthesis
Market Deduction & Formulation
Data Screening & Validation

Data Collection: This stage of the market research process involves with the gathering and collecting of the market/industry related data from the sources. There are basically two types of research methods:

Primary Research: By conducting primary research, it involves with the two types of data gathering; exploratory and specific. Exploratory data is open-ended and helps us to define a particular problem involving surveys, and pilot study to the specific consumer group, knowing their needs and wants catering to the industry related product/service offering. Explanatory data gathering follows with the bit of unstructured way. Our analyst group leads the study by focusing on the key crowd, in this manner picking up bits of knowledge from them. In light of the points of view of the clients, this data is used to plan advertise techniques. In addition, showcase overviews causes us to comprehend the current scenario of the business. Specific data gathering on the hand, involves with the more structured and formal way. The primary research usually includes in telephonic conversations, E-mail collaborations and up close and personal meetings/interviews with the raw material suppliers, industrial wholesalers, and independent consultants/specialists. The interviews that we conduct offers important information on showcase size and industry development patterns. Our company likewise conducts interviews with the different business specialists so as to increase generally bits of knowledge of the business/showcase.
Secondary Research: The secondary research incorporates with the data gathering from the non-profit associations and organizations, for example, World bank, WHO, investor relations and their presentations, statistical databases, yearly(annual reports) reports, national government records, factual databases, websites, articles, white papers, press releases, blogs and others. From the annual report, we deduce an organization's income/revenue generation to comprehend the key product segment related to the market. We examine the organization sites and implement product mapping strategy which is significant for determining the segment revenue. In the product mapping technique, we choose and categorize the products offered by the companies catering to the industry specific market, derive the segment revenue for each of the organizations to get the market estimation. We also gather data & Information based on the supply and demand side of the value chain involved with the domain specific market. The supply side denotes the distributors, wholesalers, suppliers and the demand side denotes the end-consumers/customers of the value chain. The supply side of the market is analyzed by examining the product growth across industry in each of the region followed by its pricing analysis. The demand side is analyzed by the evaluating the penetration level and adoption rates of the product by referring to the historical/past data, examine the present usage and forecasting the future trends.
Purchased Database: Our purchased data provides insights about the key market players/companies along with their financial analysis. Additionally, our data base also includes market related information.

We also have the agreements with various reputed data providers, consultants and third party vendors who provide information which are not limited to:

Export & Import Data
Business Information related to trade and its statistics
Penetration level of a particular product/service based on geography mainly focusing on the unmet prerequisites of the customers.

In-house Library: Apart from these third-party sources, we have our in-house library of quantitative and qualitative data & information. Our in-house database includes market data for various industry and domains. These data are updated on regular basis as per the changing market scenario. Our library includes, internal audit reports, historic databases, archives and journal publications. Sometimes there are instances where there is no metadata or raw data available for any domain specific market. For those particular cases, we utilize our expertise to forecast and estimate the market size in order to generate comprehensive data sets. Our analyst team adopts a robust research technique in order to deduce the market size and its estimates:
Examining demographic along with psychographic segmentation for market evaluation
Analyzing the macro and micro-economic indicators for each demography
Evaluating the current industry trends popular in the market.

Data Synthesis: This stage includes the evaluation and assessment of all the data acquired from the primary and secondary research. It likewise includes in evaluating the information for any disparity watched while information gathering identified with the market. The data & information is gathered with consideration to the heterogeneity of sources. Scientific and statistical methods are implemented for synthesizing dissimilar information sets and provide the relevant data which is fundamental for formulating strategies. Our organization has broad involvement with information amalgamation where the information goes through different stages:

Information Screening: Information screening is the way toward examining information/data gathered from the sources for errors/mistakes and amending it before data integration process. The screening includes in looking at raw information, identifying and distinguishing mistakes and managing missing information. The reason for the information screening is to ensure information is effectively entered or not. Our organization utilizes objective and precise information screening grades through repetitive quality checks.
Data Integration: The data integration method involves with the incorporation of numerous information streams. The data streams is important so as to deliver investigate examines that give overall market scenario to the investors. These information streams originate from different research contemplates and our in house database. After the screening of the information, our analysts conduct efficient integration of the data streams, optimizing connections between integrated surveys and syndicated data sources. There are two research approaches that we follow so as to coordinate our information; top down methodology and bottom up methodology.

Top-down analysis generally refers to using broad factors as a basis for decision making. The top-down approach helps in identifying the overall market scenario along with the external and internal factors effecting the market growth.

The bottom-up approach takes a completely different approach. Generally, the bottom-up approach focuses its analysis on micro attributes and specific characteristics of the domain specific market.

Market Formulation & Deduction: The last stage includes assigning the data & information in a suitable way in order to derive market size. Analyst reviews and domain based opinions based on holistic approach of market estimation combined with industry investigation additionally features a crucial role in this stage.

This stage includes with the finalization of the market size and numbers that we have gathered from primary and secondary research. With the data & information addition, we ensure that there is no gap in the market information. Market trend analysis is finished by our analysts by utilizing data extrapolation procedures, which give the most ideal figures to the market.

Data Validation: Validation is the most crucial step in the process. Validation & re-validation through scientifically designed technique and process that helps us finalize data-points to be used for final calculations. This stage also involves with the data triangulation process. Data triangulation generally implicates the cross validation and matching the data which has been collected from primary and secondary research methods.

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Testimonials

Hi John,
Thanks for the report. We've been going through it and see some good data on the market and players. –

Kennedy Brown
Health Technology Innovation
United States

Hi Rahul,
Thank You for the report it is good and beneficial for me.
Thank You in Advance

Mika Salomäki

Dear Siddhartha,
Thank you for your fast reply. The report arrived safe and sound, evrything looks all right.
Thank you very much for your assitance and I will be looking forward to another opportunity for cooperation.

ONDŘEJ ŠUPKA
Analytics Department
ČESKÁ ZBROJOVKA A.S.

Dear Siddhartha,
The report looks good, and we believe the material mix is more realistic now. It is good to know you report “Net” Manufacturing Selling Price, as that can make a difference in how we view the numbers. The reports were great and we appreciate your working with us.
Thanks for all your help!