Asia-pacific Smart Agriculture Market Forecast 2022-2030KEY FINDINGS
The Asia-Pacific smart agriculture market is set to record a CAGR of 11.72% during the forecast period, 2022-2030. The rising demand for organic food from emerging countries and the growing population in countries like India and China drive market growth. Also, government initiatives in emerging countries to increase smart agriculture projects offer growth opportunities.
MARKET INSIGHTS
Thailand, China, South Korea, India, Indonesia, Japan, Australia & New Zealand, and Rest of Asia-Pacific are analyzed for the Asia-Pacific smart agriculture market growth assessment. Japan has one of the most sophisticated and innovative IT markets. Also, the government’s Society 5.0 plan aims to create a super-smart society powered by digital innovation. Accordingly, robotics, AI, IoT, and big data will be included in the strategy for varied businesses and services from social care to industrial output. In addition, the country has implemented digital farming technologies that aid collect the regulated environment farming features and cut water use in agriculture by 80%-90%.
Furthermore, smart agriculture is estimated to develop due to the use of AI in remote-control management, data analysis, and harvest computation. Several agricultural robots have been used in Japan in recent years, including autonomous drones for pest control and robots for overlooking tea plantations and weeding in rice paddies.
In Indonesia, five major business models, mechanization, digital marketplaces, traceability, peer-to-peer finance, and farmers advising, are transitioning into a dynamic and thriving AgriTech ecosystem. In addition, the nation’s food output needs increased agricultural investment to streamline and modernize food systems. Besides, the agriculture industry, which constitutes over 14% of Indonesia’s GDP, is majorly controlled by smallholder farmers. Such factors drive market growth in these countries.
COMPETITIVE INSIGHTS
Some of the prominent companies in the market include Topcon Positioning Systems Inc, SemiosBio Technologies Inc, Trimble Inc, Climate Corporation (Bayer AG), etc.
Our report offerings include:
• Explore key findings of the overall market
• Strategic breakdown of market dynamics (Drivers, Restraints, Opportunities, Challenges)
• Market forecasts for a minimum of 9 years, along with 3 years of historical data for all segments, sub-segments, and regions
• Market Segmentation caters to a thorough assessment of key segments with their market estimations
• Geographical Analysis: Assessments of the mentioned regions and country-level segments with their market share
• Key analytics: Porter’s Five Forces Analysis, Vendor Landscape, Opportunity Matrix, Key Buying Criteria, etc.
• The competitive landscape is the theoretical explanation of the key companies based on factors, market share, etc.
• Company profiling: A detailed company overview, product/services offered, SCOT analysis, and recent strategic developments
- 1. Research Scope & Methodology
- 1.1. Study Objectives
- 1.2. Scope Of Study
- 1.3. Methodology
- 1.4. Assumptions & Limitations
- 2. Executive Summary
- 2.1. Market Size & Estimates
- 2.2. Market Overview
- 3. Market Dynamics
- 3.1. Key Drivers
- 3.1.1. Growing Popularity Of Automation In Agriculture
- 3.1.2. Expansion Of Corporate Farming Worldwide
- 3.1.3. Advancements And Innovations In Agricultural Technology
- 3.1.4. Favorable Government Initiatives
- 3.2. Key Restraints
- 3.2.1. High Costs Of Modern Agricultural Equipment
- 3.2.2. Lack Of Skilled Operators
- 4. Key Analytics
- 4.1. Impact Of Covid-19 On Smart Agriculture Market
- 4.2. Key Market Trends
- 4.3. Porter’s Five Forces Analysis
- 4.3.1. Buyers Power
- 4.3.2. Suppliers Power
- 4.3.3. Substitution
- 4.3.4. New Entrants
- 4.3.5. Industry Rivalry
- 4.4. Opportunity Matrix
- 4.5. Vendor Landscape
- 4.6. Key Buying Criteria
- 4.6.1. Data Analysis
- 4.6.2. Connectivity
- 4.6.3. Data Security
- 4.6.4. Data Collection Frequency
- 4.7. Regulatory Framework
- 5. Market By Type
- 5.1. Precision Farming
- 5.2. Livestock Monitoring
- 5.3. Precision Aquaculture
- 5.4. Smart Greenhouse
- 6. Market By Component
- 6.1. Solution
- 6.1.1. Hardware
- 6.1.1.1. Hvac Systems
- 6.1.1.2. Led Grow Lights
- 6.1.1.3. Valves & Pumps
- 6.1.1.4. Sensors & Control Systems
- 6.1.1.5. Other Hardware
- 6.1.2. Software
- 6.1.2.1. Network Management
- 6.1.2.2. Agriculture Asset Management
- 6.1.2.3. Smart Water Management
- 6.1.2.4. Irrigation Management
- 6.2. Service
- 6.2.1. Consulting
- 6.2.2. System Integration And Deployment
- 6.2.3. Support And Maintenance
- 6.3. Connectivity Technology
- 6.3.1. Cellular Iot
- 6.3.2. Lora
- 6.3.3. Nb-iot
- 6.3.4. Global Navigation Satellite System (Gnss)
- 6.3.5. Wi-fi
- 6.3.6. Sigfox
- 6.3.7. Wireline
- 6.3.8. Wireless Personal Area Network (Wpan)
- 6.3.9. Other Connectivity Technologies
- 7. Geographical Analysis
- 7.1. Asia-pacific
- 7.1.1. Market Size & Estimates
- 7.1.2. Key Growth Enablers
- 7.1.3. Key Challenges
- 7.1.4. Key Players
- 7.1.5. Country Analysis
- 7.1.5.1. China
- 7.1.5.2. Japan
- 7.1.5.3. India
- 7.1.5.4. South Korea
- 7.1.5.5. Indonesia
- 7.1.5.6. Thailand
- 7.1.5.7. Australia & New Zealand
- 7.1.5.8. Rest Of Asia-pacific
- 8. Competitive Landscape
- 8.1. Key Strategic Developments
- 8.1.1. Mergers & Acquisitions
- 8.1.2. Product Launches & Developments
- 8.1.3. Partnerships & Agreements
- 8.2. Company Profiles
- 8.2.1. Afimilk Ltd
- 8.2.2. Agco Corporation
- 8.2.3. Ageagle Aerial Systems Inc
- 8.2.4. Agjunction
- 8.2.5. Aker Technologies Inc
- 8.2.6. Akva
- 8.2.7. Deere & Company
- 8.2.8. Delaval
- 8.2.9. Innovasea Systems Inc
- 8.2.10. Lumigrow Inc
- 8.2.11. Msd Animal Health (Merck & Co)
- 8.2.12. Raven Industries
- 8.2.13. Semiosbio Technologies Inc
- 8.2.14. The Climate Corporation (Bayer Ag)
- 8.2.15. Topcon Positioning Systems Inc
- 8.2.16. Trimble Inc
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