Global Artificial Intelligence in Agriculture Market Growth (Status and Outlook) 2024-2030

Global Artificial Intelligence in Agriculture Market Growth (Status and Outlook) 2024-2030

According to our LPI (LP Information) latest study, the global Artificial Intelligence in Agriculture market size was valued at US$ 566.1 million in 2023. With growing demand in downstream market, the Artificial Intelligence in Agriculture is forecast to a readjusted size of US$ 716.5 million by 2030 with a CAGR of 3.4% during review period.

The research report highlights the growth potential of the global Artificial Intelligence in Agriculture market. Artificial Intelligence in Agriculture are expected to show stable growth in the future market. However, product differentiation, reducing costs, and supply chain optimization remain crucial for the widespread adoption of Artificial Intelligence in Agriculture. Market players need to invest in research and development, forge strategic partnerships, and align their offerings with evolving consumer preferences to capitalize on the immense opportunities presented by the Artificial Intelligence in Agriculture market.

This report studies the Artificial Intelligence (AI) in Agriculture market, from angles of players, regions, product types and end industries, to analyze the status and the future.

Artificial Intelligence (AI) in Agriculture Market size is being driven by the growing adoption of the robots in agriculture. Increasing consumption and rising requirement of better yield of crops are estimated to be one of the major factors that is fueling the demand of robots in agriculture. Increasing consumption motivates farmers to scale up farming operations and give rise to the requirement of automating farming operations. As the farmers are shifting more towards automation, drones and robots have become integral part of agriculture farms and are enhancing yield and improving the product quality. Since AI is the backbone of robotics, increasing adoption of robots in agriculture is estimated to drive the AI in agriculture market growth.

China and the United States are two leaders in AI industry. On the AI 100 list (2022) released by CB Insights, the number of companies in the United States ranks first, with more than 70 companies, followed by the United Kingdom, with 8 companies on the list. China and Canada both holds 5 companies on the list. According to data from the China Academy of Information and Communications Technology, the scale of China's core artificial intelligence industry reached ¥508 billion in 2022, a year-on-year increase of 18%. From 2013 to November 2022, the cumulative number of patent applications for artificial intelligence inventions in the world reached 729,000, and the cumulative number of applications in China reached 389,000, accounting for 53.4%. However, the Global Artificial Intelligence Innovation Index Report 2021 released by the China Institute of Scientific and Technological Information shows that the overall strength of the United States is still far ahead. The number of artificial intelligence companies in the United States is about 4,670, while China has only 880. China's data center is less than 1/78 of that of the United States.

Key Features:

The report on Artificial Intelligence in Agriculture market reflects various aspects and provide valuable insights into the industry.

Market Size and Growth: The research report provide an overview of the current size and growth of the Artificial Intelligence in Agriculture market. It may include historical data, market segmentation by Type (e.g., Machine Learning, Computer Vision), and regional breakdowns.

Market Drivers and Challenges: The report can identify and analyse the factors driving the growth of the Artificial Intelligence in Agriculture market, such as government regulations, environmental concerns, technological advancements, and changing consumer preferences. It can also highlight the challenges faced by the industry, including infrastructure limitations, range anxiety, and high upfront costs.

Competitive Landscape: The research report provides analysis of the competitive landscape within the Artificial Intelligence in Agriculture market. It includes profiles of key players, their market share, strategies, and product offerings. The report can also highlight emerging players and their potential impact on the market.

Technological Developments: The research report can delve into the latest technological developments in the Artificial Intelligence in Agriculture industry. This include advancements in Artificial Intelligence in Agriculture technology, Artificial Intelligence in Agriculture new entrants, Artificial Intelligence in Agriculture new investment, and other innovations that are shaping the future of Artificial Intelligence in Agriculture.

Downstream Procumbent Preference: The report can shed light on customer procumbent behaviour and adoption trends in the Artificial Intelligence in Agriculture market. It includes factors influencing customer ' purchasing decisions, preferences for Artificial Intelligence in Agriculture product.

Government Policies and Incentives: The research report analyse the impact of government policies and incentives on the Artificial Intelligence in Agriculture market. This may include an assessment of regulatory frameworks, subsidies, tax incentives, and other measures aimed at promoting Artificial Intelligence in Agriculture market. The report also evaluates the effectiveness of these policies in driving market growth.

Environmental Impact and Sustainability: The research report assess the environmental impact and sustainability aspects of the Artificial Intelligence in Agriculture market.

Market Forecasts and Future Outlook: Based on the analysis conducted, the research report provide market forecasts and outlook for the Artificial Intelligence in Agriculture industry. This includes projections of market size, growth rates, regional trends, and predictions on technological advancements and policy developments.

Recommendations and Opportunities: The report conclude with recommendations for industry stakeholders, policymakers, and investors. It highlights potential opportunities for market players to capitalize on emerging trends, overcome challenges, and contribute to the growth and development of the Artificial Intelligence in Agriculture market.

Market Segmentation:

Artificial Intelligence in Agriculture market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of value.

Segmentation by type
Machine Learning
Computer Vision

Segmentation by application
Precision Farming
Drone Analytics
Agriculture Robots

This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
IBM
John Deere
Microsoft
Agribotix
The Climate Corporation
ec2ce
Descartes Labs
Sky Squirrel Technologies
Mavrx
aWhere
Gamaya
Precision Hawk
Granular
Prospera
Cainthus
Spensa Technologies
Resson
FarmBot
Connecterra
Vision Robotics
Harvest Croo
Autonomous Tractor Corporation
Trace Genomics
Vine Rangers

Please note: The report will take approximately 2 business days to prepare and deliver.