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Asia Pacific Smart Agriculture Market Outlook, 2029

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    Report

  • 86 Pages
  • October 2024
  • Region: Asia Pacific
  • Bonafide Research
  • ID: 5568176
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In Asia Pacific agriculture is an essential sector for the region’s growth. Here almost 70% of the rural population is primarily depended on agriculture for their livelihoods. Asia Pacific mainly produces rice and it is also known to be the staple food crop for most of the Asians. The region produces almost 90% of the world’s rice. Asia is also known for several plantations like, tea, rubber, palm oil, cotton, jute, coconuts, and sugarcane. The agriculture is known as the biggest consumer of global freshwater resources and due to the rising needs for water conservation, is one of the major factors that is driving the demand for introducing smart agriculture system in this sector.

Smart agriculture includes the sensors and drones to detect the problems and provide solutions for those problems. As the name suggest smart agriculture, that uses technology to improve the growth of the crops and ensure to produce a better quality and quantity of agricultural products, without damaging the environment. The major producing countries in this are China, Japan, India, Australia and South Korea. Among these China is dominating the smart agriculture sector; the country is already leading in artificial intelligence and IoT (Internet of Things) industry. China is the biggest agricultural country in Asia, which owns rich agricultural resources and has a long history of farming and the tradition of intensive cultivation as well as a huge rural population. The demand for smart agriculture in other countries like India and Japan is gradually increasing, due to most of the rural areas getting involved with technology and are using it in an effective way.

According to the research report 'Asia Pacific Smart Agriculture Market Overview, 2029,', the Asia Pacific Smart Agriculture market is anticipated to grow at more than 14.01% CAGR from 2024 to 2029. There have been many recent developments in the smart agriculture sector, are widely encouraging the farmers to adopt the new farming techniques.

However, even the governments of the Asian countries are developing few initiatives for reducing the prices of the devices and machineries used in smart agriculture. Various learning programs have been developed for farmers to get familiar with the technology and learn to use such devices in the fields. The smart agriculture market can witness a huge growth as the farmers and the government bodies take the courage to invest in it and improve the productivity of the agriculture sector.

The smart agriculture market in the Asia Pacific region is experiencing a surge in the adoption of innovative technologies across the hardware, software, and services segments. In the hardware domain, farmers are increasingly investing in advanced sensor systems, autonomous drones, and precision farming equipment to optimize resource utilization and boost productivity. These cutting-edge tools provide real-time data on soil conditions, crop health, and environmental factors, enabling farmers to make data-driven decisions and implement tailored cultivation practices. The software segment is also witnessing rapid growth, with the proliferation of farm management platforms, predictive analytics tools, and Internet of Things (IoT) solutions.

These digital technologies integrate seamlessly with the hardware components, consolidating data from multiple sources and delivering actionable insights to enhance decision-making and operational efficiency. Leveraging the power of artificial intelligence and machine learning, the software solutions can predict crop yields, detect pest infestations, and automate irrigation systems, revolutionizing traditional agricultural practices.

The smart agriculture is segmented into five types, namely precision agriculture; among these precision livestock monitoring is currently dominating the smart agriculture market in this region. The farming technique includes GPS, RFIDs and heath monitoring devices for animals. The health monitoring devices are used for tracking the animal’s health, monitoring how much the animal has ate in a day, for cattle how much they produce every single day and their reproduction period. The devices also save the data for further check-ups. The RFID tags and GPS are mainly for tracking the animals, if they are lost or they went to other fields. These devices consist of small chips inside them which help in detecting the animals from a certain distance.

The COVID-19 effect on Asia Pacific smart agriculture market

In Asia-Pacific region, people suffering from extreme poverty majorly live in rural areas and they are engaged in agricultural activities. In this situation, the impact of the COVID-19 pandemic on the smart agriculture sector has brought unpredicted challenges across the region. The pandemic has threatened the sustainable development goals such as Goal 1 (No poverty) and Goal 2 (Zero hunger). However, this impact has the potential to reverse the gains made in recent years. Smart agriculture mechanism is estimated to be a key player in supporting countries to respond to the crisis as well as to fuel the market growth.

Considered in this report

  • Geography: Asia Pacific
  • Historic Year: 2018
  • Base year: 2023
  • Estimated year: 2024
  • Forecast year: 2029

Aspects covered in this report

  • Asia Pacific Smart Agriculture Market with its value and forecast along with its segments
  • Country wise smart agriculture market analysis
  • Application wise smart agriculture distribution
  • Various drivers and challenges
  • On-going trends and developments
  • Top profiled companies
  • Strategic recommendation

Regions covered in the report

  • China
  • Japan
  • India
  • Australia
  • South Korea

Types of smart agriculture in the report

  • Precision Agriculture
  • Aquaculture/Precision Fish Farming
  • Smart Greenhouse Market
  • Precision Livestock Monitoring Market
  • Precision Forestry Market

By Offering Type in the report

  • Hardware
  • Software
  • Services

The approach of the report

This report consists of a combined approach of primary as well as secondary research. Initially, secondary research was used to get an understanding of the market and listing out the companies that are present in the market. The secondary research consists of third-party sources such as press releases, annual report of companies, analyzing the government generated reports and databases.

After gathering the data from secondary sources primary research was conducted by making telephonic interviews with the leading players about how the market is functioning and then conducted trade calls with dealers and distributors of the market. Post this we have started doing primary calls to consumers by equally segmenting consumers in regional aspects, tier aspects, age group, and gender. Once we have primary data with us we have started verifying the details obtained from secondary sources.

Intended audience

This report can be useful to industry consultants, manufacturers, suppliers, associations & organizations related to agriculture industry, government bodies and other stakeholders to align their market-centric strategies. In addition to marketing & presentations, it will also increase competitive knowledge about the industry.

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Table of Contents

1. Executive Summary
2. Research Methodology
2.1. Secondary Research
2.2. Primary Data Collection
2.3. Market Formation & Validation
2.4. Report Writing, Quality Check & Delivery
3. Market Structure
3.1. Market Considerate
3.2. Assumptions
3.3. Limitations
3.4. Abbreviations
3.5. Sources
3.6. Definitions
4. Economic /Demographic Snapshot
5. Global Smart Agriculture Market Outlook
5.1. Market Size By Value
5.2. Market Share By Region
5.3. Market Size and Forecast, By Type
5.4. Market Size and Forecast, By Offering
6. Asia-Pacific Smart Agriculture Market Outlook
6.1. Market Size By Value
6.2. Market Share By Country
6.3. Market Size and Forecast, By Type
6.4. Market Size and Forecast, By Offering
7. Market Dynamics
7.1. Market Drivers & Opportunities
7.2. Market Restraints & Challenges
7.3. Market Trends
7.4. COVID-19 Effect
7.5. Supply chain Analysis
7.6. Policy & Regulatory Framework
7.7. Industry Experts Views
7.8. China Smart Agriculture Market Outlook
7.8.1. Market Size By Value
7.8.2. Market Size and Forecast By Type
7.8.3. Market Size and Forecast By Offering
7.9. Japan Smart Agriculture Market Outlook
7.9.1. Market Size By Value
7.9.2. Market Size and Forecast By Type
7.9.3. Market Size and Forecast By Offering
7.10. India Smart Agriculture Market Outlook
7.10.1. Market Size By Value
7.10.2. Market Size and Forecast By Type
7.10.3. Market Size and Forecast By Offering
7.11. Australia Smart Agriculture Market Outlook
7.11.1. Market Size By Value
7.11.2. Market Size and Forecast By Type
7.11.3. Market Size and Forecast By Offering
7.12. South Korea Smart Agriculture Market Outlook
7.12.1. Market Size By Value
7.12.2. Market Size and Forecast By Type
7.12.3. Market Size and Forecast By Offering
8. Competitive Landscape
8.1. Competitive Dashboard
8.2. Business Strategies Adopted by Key Players
8.3. Key Players Market Positioning Matrix
8.4. Porter's Five Forces
8.5. Company Profile
8.5.1. John Deere Ltd
8.5.1.1. Company Snapshot
8.5.1.2. Company Overview
8.5.1.3. Financial Highlights
8.5.1.4. Geographic Insights
8.5.1.5. Business Segment & Performance
8.5.1.6. Product Portfolio
8.5.1.7. Key Executives
8.5.1.8. Strategic Moves & Developments
8.5.2. Merck & Co., Inc.
8.5.3. Trimble Inc.
8.5.4. Topcon Positioning Systems Inc.
8.5.5. AGCO Corporation
8.5.6. InnovaSea Systems, Inc.
8.5.7. GEA Group Aktiengesellschaft (Gea CowScout)
8.5.8. Heliospectra AB
8.5.9. Nedap N.V. Inc
8.5.10. AKVA group
8.5.11. CropX Technologies
9. Strategic Recommendations
10. Annexure
10.1. FAQ`s
10.2. Notes
10.3. Related Reports
11. Disclaimer
List of Figures
Figure 1: Global Smart Agriculture Market Size (USD Billion) By Region, 2023 & 2029
Figure 2: Market attractiveness Index, By Region 2029
Figure 3: Market attractiveness Index, By Segment 2029
Figure 4: Global Smart Agriculture Market Size By Value (2018, 2023 & 2029F) (in USD Billion)
Figure 5: Global Smart Agriculture Market Share By Region (2023)
Figure 6: Asia-Pacific Smart Agriculture Market Size By Value (2018, 2023 & 2029F) (in USD Billion)
Figure 7: Asia-Pacific Smart Agriculture Market Share By Country (2023)
Figure 8: China Smart Agriculture Market Size By Value (2018, 2023 & 2029F) (in USD Billion)
Figure 9: Japan Smart Agriculture Market Size By Value (2018, 2023 & 2029F) (in USD Billion)
Figure 10: India Smart Agriculture Market Size By Value (2018, 2023 & 2029F) (in USD Billion)
Figure 11: Australia Smart Agriculture Market Size By Value (2018, 2023 & 2029F) (in USD Billion)
Figure 12: South Korea Smart Agriculture Market Size By Value (2018, 2023 & 2029F) (in USD Billion)
Figure 13: Competitive Dashboard of top 5 players, 2023
Figure 14: Porter's Five Forces of Global Smart Agriculture Market
List of Tables
Table 1: Global Smart Agriculture Market Snapshot, By Segmentation (2023 & 2029) (in USD Billion)
Table 2: Top 10 Counties Economic Snapshot 2022
Table 3: Economic Snapshot of Other Prominent Countries 2022
Table 4: Average Exchange Rates for Converting Foreign Currencies into U.S. Dollars
Table 5: Global Smart Agriculture Market Size and Forecast, By Type (2018 to 2029F) (In USD Billion)
Table 6: Global Smart Agriculture Market Size and Forecast, By Offering (2018 to 2029F) (In USD Billion)
Table 7: Asia-Pacific Smart Agriculture Market Size and Forecast, By Type (2018 to 2029F) (In USD Billion)
Table 8: Asia-Pacific Smart Agriculture Market Size and Forecast, By Offering (2018 to 2029F) (In USD Billion)
Table 9: Influencing Factors for Smart Agriculture Market, 2023
Table 10: China Smart Agriculture Market Size and Forecast By Type (2018 to 2029F) (In USD Billion)
Table 11: China Smart Agriculture Market Size and Forecast By Offering (2018 to 2029F) (In USD Billion)
Table 12: Japan Smart Agriculture Market Size and Forecast By Type (2018 to 2029F) (In USD Billion)
Table 13: Japan Smart Agriculture Market Size and Forecast By Offering (2018 to 2029F) (In USD Billion)
Table 14: India Smart Agriculture Market Size and Forecast By Type (2018 to 2029F) (In USD Billion)
Table 15: India Smart Agriculture Market Size and Forecast By Offering (2018 to 2029F) (In USD Billion)
Table 16: Australia Smart Agriculture Market Size and Forecast By Type (2018 to 2029F) (In USD Billion)
Table 17: Australia Smart Agriculture Market Size and Forecast By Offering (2018 to 2029F) (In USD Billion)
Table 18: South Korea Smart Agriculture Market Size and Forecast By Type (2018 to 2029F) (In USD Billion)
Table 19: South Korea Smart Agriculture Market Size and Forecast By Offering (2018 to 2029F) (In USD Billion)

Companies Mentioned (Partial List)

A selection of companies mentioned in this report includes, but is not limited to:

  • John Deere Ltd
  • Merck & Co., Inc.
  • Trimble Inc.
  • Topcon Positioning Systems Inc.
  • AGCO Corporation
  • InnovaSea Systems, Inc.
  • GEA Group Aktiengesellschaft (Gea CowScout)
  • Heliospectra AB
  • Nedap N.V. Inc
  • AKVA group
  • CropX Technologies