アジア太平洋の農業IoT市場：用途別、製品別、国別 - 分析と予測（2023年～2033年）

アジア太平洋の農業IoTの市場規模は、2023年に46億3,000万米ドルとなりました。

同市場は、2033年には186億4,000万米ドルに達すると予測されています。モノのインターネット（IoT）は、農業プロセスの管理と最適化における大きなブレークスルーを意味するため、アジア太平洋（APAC）の農業セクターにとって極めて重要です。農家や農業関連企業は、IoT技術を導入することで、天候、作物の健康状態、土壌水分、その他の重要な要素を追跡するセンサーから、さまざまなリアルタイムデータにアクセスすることができます。高度なアナリティクスを使用することで、このデータを精査し、品質と生産量を向上させながら経費を削減し、農薬、肥料、水の使用による環境への悪影響を最小限に抑える精密農法をサポートすることができます。

さらに、IoT技術は人手不足の問題を緩和し、植え付けや収穫を含むさまざまな農業作業を自動化することで生産量を増やすのに役立ちます。農業IoTの統合は、持続可能性と効率を向上させ、よりスマートで効果的な技術を奨励することで食糧安全保障に貢献します。APAC地域が発展を続ける中、農業IoTの導入はイノベーションと成長の大きな機会をもたらし、より弾力的で生産的な農業風景を保証します。

農業における生産性と効率性の向上に対する需要が、アジア太平洋（APAC）農業IoT市場の顕著な拡大を牽引しています。同地域の急速な人口増加と食糧需要の増加に伴い、農家は作業の合理化と持続可能な実践を保証するためにモノのインターネット（IoT）技術に頼っています。

センサーやリンクデバイスなどのIoT技術により、農家は作物の健康状態、土壌水分、天候、家畜のモニタリングなど、さまざまな要因に関するリアルタイムの情報にアクセスできるようになります。精密農業はこのデータによって可能になり、資源の浪費を最小限に抑えながら作物の収量を増やす集中的な行動が可能になります。農家は、農薬、肥料、水の使用量を最適化するために、高度な分析を使って十分な情報に基づいた決定を下すことで、環境への影響を最小限に抑えることができます。

さらに、灌漑、植え付け、収穫などの手順を自動化することで、IoT技術は農業における労働危機への対処を支援します。スマート農業や技術改善を支援する政府の施策が、農業分野におけるモノのインターネット（IoT）の拡大を後押ししており、この分野はデジタルトランスフォーメーションを受け入れ続けています。

一般に、アジア太平洋の農業用IoT市場は、世界の問題の変化に直面して、食糧安全保障、持続可能性、農業生産を改善する最先端のソリューションを提供し、大きく成長すると予想されます。

当レポートでは、アジア太平洋の農業IoT市場について調査し、市場の概要とともに、用途別、製品別、国別の動向、および市場に参入する企業のプロファイルなどを提供しています。

目次

エグゼクティブサマリー

第1章 市場

• 動向：現在および将来の影響評価
• サプライチェーン分析
• 研究開発レビュー
• 規制状況
• 市場力学の概要

第2章 地域

• 地域別概要
• 促進要因と抑制要因
• アジア太平洋

第3章 市場-競合ベンチマーキングと企業プロファイル

• 今後の見通し
• 地理的評価
  • Eruvaka Technologies

第4章 調査手法

List of Figures

• Figure 1: Asia-Pacific IoT in Agriculture Market (by Application), 2022, 2026, and 2033
• Figure 2: Asia-Pacific IoT in Agriculture Market (by Component), 2022, 2026, and 2033
• Figure 3: IoT in Agriculture Market, Recent Developments
• Figure 4: Supply Chain and Risks within the Supply Chain
• Figure 5: IoT in Agriculture Market (by Number of Patents), January 2020-December 2023
• Figure 6: IoT in Agriculture Market (by Country), January 2020-December 2023
• Figure 7: Impact Analysis of Market Navigating Factors, 2022-2033
• Figure 8: China IoT in Agriculture Market, $Million, 2022-2033
• Figure 9: India IoT in Agriculture Market, $Million, 2022-2033
• Figure 10: Japan IoT in Agriculture Market, $Million, 2022-2033
• Figure 11: Australia and New Zealand IoT in Agriculture Market, $Million, 2022-2033
• Figure 12: Indonesia IoT in Agriculture Market, $Million, 2022-2033
• Figure 13: Vietnam IoT in Agriculture Market, $Million, 2022-2033
• Figure 14: Malaysia IoT in Agriculture Market, $Million, 2022-2033
• Figure 15: Rest-of-Asia-Pacific IoT in Agriculture Market, $Million, 2022-2033
• Figure 16: Strategic Initiatives, 2020-2024
• Figure 17: Share of Strategic Initiatives
• Figure 18: Data Triangulation
• Figure 19: Top-Down and Bottom-Up Approach
• Figure 20: Assumptions and Limitations

List of Tables

• Table 1: Market Snapshot
• Table 2: IoT in Agriculture Market, Opportunities
• Table 3: IoT in Agriculture Market (by Region), $Million, 2022-2033
• Table 4: IoT in Agriculture Market (by Region), Thousand Unit, 2022-2033
• Table 5: Asia-Pacific IoT in Agriculture Market (by Application), $Million, 2022-2033
• Table 6: Asia-Pacific IoT in Agriculture Market (by Component), $Million, 2022-2033
• Table 7: Asia-Pacific IoT in Agriculture Market (by Component), Thousand Unit, 2022-2033
• Table 8: China IoT in Agriculture Market (by Application), $Million, 2022-2033
• Table 9: China IoT in Agriculture Market (by Component), $Million, 2022-2033
• Table 10: China IoT in Agriculture Market (by Component), Thousand Unit, 2022-2033
• Table 11: India IoT in Agriculture Market (by Application), $Million, 2022-2033
• Table 12: India IoT in Agriculture Market (by Component), $Million, 2022-2033
• Table 13: India IoT in Agriculture Market (by Component), Thousand Unit, 2022-2033
• Table 14: Japan IoT in Agriculture Market (by Application), $Million, 2022-2033
• Table 15: Japan IoT in Agriculture Market (by Component), $Million, 2022-2033
• Table 16: Japan IoT in Agriculture Market (by Component), Thousand Unit, 2022-2033
• Table 17: Australia and New Zealand IoT in Agriculture Market (by Application), $Million, 2022-2033
• Table 18: Australia and New Zealand IoT in Agriculture Market (by Component), $Million,2022-2033
• Table 19: Australia and New Zealand IoT in Agriculture Market (by Component), Thousand Unit,2022-2033
• Table 20: Indonesia IoT in Agriculture Market (by Application), $Million, 2022-2033
• Table 21: Indonesia IoT in Agriculture Market (by Component), $Million, 2022-2033
• Table 22: Indonesia IoT in Agriculture Market (by Component), Thousand Unit, 2022-2033
• Table 23: Vietnam IoT in Agriculture Market (by Application), $Million, 2022-2033
• Table 24: Vietnam IoT in Agriculture Market (by Component), $Million, 2022-2033
• Table 25: Vietnam IoT in Agriculture Market (by Component), Thousand Unit, 2022-2033
• Table 26: Malaysia IoT in Agriculture Market (by Application), $Million, 2022-2033
• Table 27: Malaysia IoT in Agriculture Market (by Component), $Million, 2022-2033
• Table 28: Malaysia IoT in Agriculture Market (by Component), Thousand Unit, 2022-2033
• Table 29: Rest-of-Asia-Pacific IoT in Agriculture Market (by Application), $Million, 2022-2033
• Table 30: Rest-of-Asia-Pacific IoT in Agriculture Market (by Component), $Million, 2022-2033
• Table 31: Rest-of-Asia-Pacific IoT in Agriculture Market (by Component), Thousand Unit, 2022-2033

Introduction to Asia-Pacific IoT in Agriculture Market

The Asia-Pacific IoT in the agriculture market was valued at $4.63 billion in 2023 and is expected to reach $18.64 billion by 2033. The Internet of Things (IoT) is critical to the Asia-Pacific (APAC) agriculture sector because it represents a major breakthrough in the management and optimization of agricultural processes. Farmers and agribusinesses may access a variety of real-time data from sensors that track weather, crop health, soil moisture, and other important elements by implementing IoT technologies. With the use of advanced analytics, this data is examined to support precision farming methods that improve quality and production while cutting expenses and minimizing the negative effects of pesticide, fertilizer, and water usage on the environment.

In addition, IoT technology helps mitigate the manpower scarcity issue and increases output by automating a range of agricultural operations, including planting and harvesting. IoT integration in agriculture improves sustainability and efficiency and contributes to food security by encouraging smarter, more effective techniques. As the APAC region continues to develop, the implementation of IoT in agriculture presents significant opportunities for innovation and growth, ensuring a more resilient and productive agricultural landscape.

Market Introduction

The demand for increased productivity and efficiency in the agricultural industry is driving a notable expansion in the Asia-Pacific (APAC) IoT in agriculture market. Farmers are resorting to Internet of Things (IoT) technologies to streamline their operations and guarantee sustainable practices as a result of the region's rapid population growth and rising food demand.

IoT technologies, like sensors and linked devices, give farmers access to real-time information on a range of factors, such as crop health, soil moisture, weather, and livestock monitoring. Precision agriculture is made possible by this data, which permits focused actions that increase crop yields while minimizing resource waste. Farmers may minimize their influence on the environment by using advanced analytics to make well-informed decisions that optimize their usage of pesticides, fertilizers, and water.

Furthermore, by automating procedures like irrigation, planting, and harvesting, IoT technologies aid in addressing the labor crisis in agriculture. Government measures supporting smart farming and technical improvements are driving the expansion of the Internet of Things (IoT) in the agriculture sector, as the area continues to embrace digital transformation.

In general, the IoT for agriculture market in Asia-Pacific is expected to grow significantly, providing cutting-edge solutions that improve food security, sustainability, and agricultural production in the face of changing global issues.

Market Segmentation

Segmentation 1: by Application

• Precision Crop Farming
• Livestock Monitoring and Management
• Indoor Farming
• Aquaculture
• Others

Segmentation 2: by Component

• Hardware
  • Processors and Sensors
  • Communication Modules
  • Others
• Software

Segmentation 3: by Country

• Japan
• India
• China
• Australia and New Zealand
• Indonesia
• Vietnam
• Malaysia
• Rest-of-Asia-Pacific

How can this report add value to an organization?

Product/Innovation Strategy: The product segment helps the reader understand the different types of components available for deployment and their potential in APAC region. Moreover, the study provides the reader with a detailed understanding of the APAC IoT in agriculture market by application on the basis of application (precision crop farming, livestock monitoring and management, indoor farming, aquaculture, and others) and product on the basis of component (hardware and software).

Growth/Marketing Strategy: The Asia-Pacific IoT in agriculture market has seen major development by key players operating in the market, such as business expansion, partnership, collaboration, and joint venture. The favored strategy for the companies has been partnerships and contracts to strengthen their position in the IoT in agriculture market.

Competitive Strategy: Key players in the Asia-Pacific IoT in agriculture market analyzed and profiled in the study involve major IoT in agriculture, offering companies providing IoT in agriculture for the purpose. Moreover, a detailed competitive benchmarking of the players operating in the IoT in agriculture market has been done to help the reader understand how players stack against each other, presenting a clear market landscape. Additionally, comprehensive competitive strategies such as partnerships, agreements, and collaborations will aid the reader in understanding the untapped revenue pockets in the market.

Table of Contents

Executive Summary

Scope and Definition

1 Markets

• 1.1 Trends: Current and Future Impact Assessment
  • 1.1.1 Trends: Overview
  • 1.1.2 Agricultural Drones
  • 1.1.3 Autonomous Systems and Agricultural Robots
  • 1.1.4 Blockchain for Traceability
• 1.2 Supply Chain Analysis
  • 1.2.1 Value Chain Analysis
• 1.3 Research and Development Review
  • 1.3.1 Patent Filing Trend (by Country, Number of Patents)
• 1.4 Regulatory Landscape
• 1.5 Market Dynamics Overview
  • 1.5.1 Market Drivers
    • 1.5.1.1 Increase in Demand for Agricultural Efficiency and Productivity
    • 1.5.1.2 Advancements in Agricultural Technologies
    • 1.5.1.3 Rise in Adoption of Precision Farming
  • 1.5.2 Market Restraints
    • 1.5.2.1 Lack of Trained Personnel
    • 1.5.2.2 High Initial Investment Costs
  • 1.5.3 Market Opportunities
    • 1.5.3.1 Integration of IoT in Robotics
    • 1.5.3.2 Livestock Monitoring and Management

2 Regions

• 2.1 Regional Summary
• 2.2 Drivers and Restraints
• 2.3 Asia-Pacific
  • 2.3.1 Regional Overview
  • 2.3.2 Driving Factors for Market Growth
  • 2.3.3 Factors Challenging the Market
  • 2.3.4 Application
  • 2.3.5 Product
  • 2.3.6 China
  • 2.3.7 Application
  • 2.3.8 Product
  • 2.3.9 India
  • 2.3.10 Application
  • 2.3.11 Product
  • 2.3.12 Japan
  • 2.3.13 Application
  • 2.3.14 Product
  • 2.3.15 Australia and New Zealand
  • 2.3.16 Application
  • 2.3.17 Product
  • 2.3.18 Indonesia
  • 2.3.19 Application
  • 2.3.20 Product
  • 2.3.21 Vietnam
  • 2.3.22 Product
  • 2.3.23 Product
  • 2.3.24 Malaysia
  • 2.3.25 Application
  • 2.3.26 Product
  • 2.3.27 Rest-of-Asia-Pacific
  • 2.3.28 Product

3 Markets - Competitive Benchmarking & Company Profiles

• 3.1 Next Frontiers
• 3.2 Geographic Assessment
  • 3.2.1 Eruvaka Technologies
    • 3.2.1.1 Overview
    • 3.2.1.2 Top Products/Product Portfolio
    • 3.2.1.3 Top Competitors
    • 3.2.1.4 Target Customers
    • 3.2.1.5 Key Personnel
    • 3.2.1.6 Analyst View
    • 3.2.1.7 Market Share

4 Research Methodology

• 4.1 Data Sources
  • 4.1.1 Primary Data Sources
  • 4.1.2 Secondary Data Sources
  • 4.1.3 Data Triangulation
• 4.2 Market Estimation and Forecast