Blockchain In Agriculture Market - Key Research Findings

  • The blockchain in agriculture market will surge at a remakable CAGR of 41.0% between 2019 and 2029.
  • The large enterprises segment dominated the blockchain in agriculture market.
  • The product traceability, tracking, and visibility segment held the largest share, and it is expected to remain dominant through the forecast period owing to factors such as an increase in investments for food safety and transparency along the supply chain and consumer demands for the knowledge of the provenance of food products.
  • North America accounts for the largest share of the global blockchain in the agricultural market owing to the presence of major companies such as IBM and Microsoft in the U.S.
  • Increasing investment from various stakeholders and government to support exploration and adoption of new technologies is expected to drive the blockchain in India's agricultural market.

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KEY FACTORS SHAPING THE BLOCKCHAIN IN AGRICULTURE MARKET

  • Blockchain Technology in Agriculture Sector
    • Blockchain technology is revolutionizing the food and agriculture sectors by enhancing the decision-making capabilities of organizations. According to the FAO, about one-third of the food produced worldwide is wasted each year, which calls for a need to estimate and control the real supply and demand of food items so that they reach the poor. These problems can be tackled easily and efficiently using the blockchain network.
    • With stringent lockdowns being instituted, companies have shuttered their facilities, people were ordered to stay at home. These restrictions will have impact in the blockchain in agriculture market as well. The market will however regain pace once economies start to returning to normalcy. Economic aid packages by governments, business loans and subsidized wages for workforce will revive manufacturing output and offer favorable prospects for the blockchain in agriculture market.
  • Acceptance Among Small & Medium Enterprises
    • The small and medium-sized enterprises segment is projected to grow at the higher CAGR during the forecast period. The growing investment in small and medium-sized enterprises by government support and the rising number of start-ups in this sector will boost the adoption of blockchain technology.
  • Transparency in Food Chain
    • When it comes to the way the food supply chain is managed currently, it has become challenging food producers and retailers to confirm the provenance of the products. With the emergence of the blockchain, it has become possible to bring trust and transparency in the food supply chain ecosystem, ensuring food safety for everyone. The rising demand for food safety will therefore boost the market in the coming years.

STRUCTURE ANALYSIS

  • Innovative new product releases, acquisitions, financing and alliances and collaborations are the main strategies adopted by market players.
  • Eka Software Solutions Pvt Ltd announced in March 2019 that it was launching a new blockchain application for Indian coffee farmers. The introduction of this platform helps a variety of users and farmers to reduce waste and to provide a focused area for the selling of their products.
  • In January 2019, HARA announced that, they had collaborated with Singularity NET at the World Web Forum held in Zurich, Switzerland from January 17-18, 2019. This collaboration helped farmer in delivering AI-based information on crop, soils, on the blockchain platform provided by HARA.
Nandini Roy Choudhury
Nandini Roy Choudhury

Principal Consultant

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Report Scope

  • Base year considered - 2019
  • Actual estimates/Historical data - 2014 – 2018
  • Forecast period - 2019 – 2029
  • Market Value in 2019 - US$ 2068.5 Mn
  • Segments covered - Organization Size, Application, Provider and Region
  • Regions covered - North America, Latin America, Europe, East Asia, South Asia, Oceania and MEA
  • Key Players - BM (US), Microsoft (US), SAP-SE (Germany), Ambrosus (Switzerland), Arc-net (Ireland), OriginTrail (Slovenia), Ripe.io (US), VeChain (China), Provenance (UK), ChainVine (UK), AgriDigital (Australia), and BlockGrain (Australia)
  • Growth Drivers
    • Increasing concerns regarding the wastage of food grains and agricultural resources
    • Rising cases of food contamination and food scams

Product Traceability, Tracking, and Visibility Segment is Estimated to Dominate

The product traceability, monitoring and visibility segment is expected to dominate the blockchain market in agriculture and the food supply chain over the forecast period. The growing demand for platforms and solutions to achieve full traceability of food products across the supply chain and the instances of food fraud in many countries are the key factors that help the need for product traceability, monitoring and visibility applications.

However, there has been an increase in blockchain technology investments in the vertical food and agriculture sector, along with an increase in the number of pilot studies across the globe. The blockchain payment and settlement segment in the agricultural and food supply chain market is projected to rise at the highest CAGR.

Uncertainty in legislation and standards is the key factor restricting the development of blockchain in the global market for agriculture and the food supply chain.

North America is Projected to Dominate the Blockchain in Agriculture Market

North America is expected to be the largest market in the global blockchain market in agriculture and the food supply chain. This field includes economies such as the US and Canada, which have a large share of the global blockchain in the market for agriculture and the food supply chain. This region has witnessed maximum investment in the R&D of new technologies primarily involved in the trade movement of commodities for food and agriculture.

This has provided a greater likelihood that this technology will be implemented in this region. The emergence of large technology providers such as IBM and Microsoft in North America and large retailers and food processors such as Walmart, McCormick & Co. and Dole Food Company is the major contributing factor to the growth of the agricultural and food supply chain blockchain market in this area.

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Rising Awareness for Food Quality is Driving Market Growth

The growing concern over food grain waste and food fraud is the key factor driving growth in the market. Furthermore, the growing need for transparency in the food supply chain is another factor that propels market growth. In addition, technological growth in the agricultural sector has led to the launch of agricultural start-ups and thus leads to the positive effect of accelerating the market.

Blockchain technology is revolutionizing the food and agriculture industries by improving the organizations' decision-making ability. It identifies many possible applications in these fields, some of which have been explored already. Blockchain technology's main applications in food and agriculture include traceability and monitoring, payment and settlement, smart contracts and management, risk, and enforcement.

The growth of the blockchain market in agriculture and the food supply chain is due to the increase in demand for transparency in the supply chain, the increase in food fraud cases and the increase in concerns toward food wastage.

How Growth will Unfold

Blockchain technology is revolutionizing the agricultural sector by increasing the organizations' decision-making ability. It identifies many possible applications in the field, some of which have been explored already. Blockchain technology's main applications in agriculture include traceability and monitoring, payment and settlement, smart contract management, and governance, risk and enforcement management.

Growth in the blockchain in agriculture market will be propelled by the increasing demand for transparency in the supply chain, increased food fraud cases and increased concerns regarding food waste. Blockchain can help replace sluggish manual farming processes, improve traceability, and reduce IT transaction costs in the food supply chains. Nonetheless, blockchain has its drawbacks, as the system cannot collect data from a number of untrusted participants / vendors.

Furthermore, there is a mammoth gap between the existing capability of the technology and the capability needed by the supply chain. Such factors will slow down the growth of blockchain in the agricultural market in the near future. Nonetheless growth strategies adopted by the leading companies are likely to have positive impact on the global market.

Blockchain in Agriculture Market

BLOCKCHAIN IN AGRICULTURE MARKET TAXONOMY

The global Blockchain in Agriculture market is segmented in detail to cover every aspect of the market and present complete market intelligence to readers.

Provider

  • Application and solution provider
  • Middleware provider
  • Infrastructure and protocol provider

Application

  • Product traceability, tracking, and visibility
  • Payment and settlement
  • Smart contracts
  • Governance, risk and compliance management

Organization size

  • Large enterprises
  • Small and medium-sized (SMEs) enterprises

Region

  • North America
  • Latin America
  • Europe
  • East Asia
  • South Asia
  • Oceania
  • MEA

Frequently Asked Questions

What is the CAGR for the Blockchain in Agriculture Market?

The blockchain in agriculture market is likely to record a CAGR of 40% through 2032.

How much Valuation can be Expected by 2032?

The blockchain in agriculture market size is expected to be US$ 5,675.96 Mn by 2032.

How much is the Growth Potential of the Blockchain in Agriculture Market?

The blockchain in agriculture market share is likely to grow over US$ 164,179.9 Mn in 2022.

Which is the Dominant Blockchain in Agriculture Market?

North America is the dominant blockchain in agriculture market.

Table of Content
1. Executive Summary
    1.1. Global Market Outlook
    1.2. Demand-side Trends
    1.3. Supply-side Trends
    1.4. Technology Roadmap Analysis
    1.5. Analysis and Recommendations
2. Market Overview
    2.1. Market Coverage / Taxonomy
    2.2. Market Definition / Scope / Limitations
3. Market Background
    3.1. Macro-Economic Factors
    3.2. Forecast Factors - Relevance & Impact
    3.3. Value Chain Analysis
        3.3.1. Raw Material Suppliers
        3.3.2. Product Manufacturers
        3.3.3. Distributors/Suppliers/Wholesalers
    3.4. Market Dynamics
        3.4.1. Drivers
        3.4.2. Restraints
        3.4.3. Opportunity
    3.5. Key Regulations
4. Global Blockchain in Agriculture Market Demand Analysis 2015-2019 and Forecast, 2020-2030
    4.1. Historical Market Volume (Metric Tons) Analysis, 2015-2019
    4.2. Current and Future Market Volume (Metric Tons) Projections, 2020-2030
    4.3. Y-o-Y Growth Trend Analysis
5. Global Blockchain in Agriculture Market - Pricing Analysis
    5.1. Regional Pricing Analysis (US$/Metric Tons) By Product
    5.2. Global Average Pricing Analysis Benchmark
    5.3. Pricing Influencing Factors
6. Global Blockchain in Agriculture Market Demand (Size in US$ Mn) Analysis 2015-2019 and Forecast, 2020-2030
    6.1. Historical Market Value (US$ Mn) Analysis, 2015-2019
    6.2. Current and Future Market Value (US$ Mn) Projections, 2020-2030
        6.2.1. Y-o-Y Growth Trend Analysis
        6.2.2. Absolute $ Opportunity Analysis
7. Global Blockchain in Agriculture Market Analysis 2015-2019 and Forecast 2020-2030, By Provider
    7.1. Introduction / Key Findings
    7.2. Historical Market Size (US$ Mn) and Volume Analysis By Provider, 2015 - 2019
    7.3. Current and Future Market Size (US$ Mn) and Volume Analysis and Forecast By Provider, 2020 - 2030
        7.3.1. Application and solution provider
        7.3.2. Middleware provider
        7.3.3. Infrastructure and protocol provider
    7.4. Market Attractiveness Analysis By Provider
8. Global Blockchain in Agriculture Market Analysis 2015-2019 and Forecast 2020-2030, By Application 
    8.1. Introduction / Key Findings
    8.2. Historical Market Size (US$ Mn) and Volume Analysis By Application, 2015 - 2019
    8.3. Current and Future Market Size (US$ Mn) and Volume Analysis and Forecast By Application, 2020 - 2030
        8.3.1. Product traceability,  tracking, and  visibility
        8.3.2. Payment and settlement
        8.3.3. Smart contracts
        8.3.4. Governance, risk and compliance management
    8.4. Market Attractiveness Analysis By Application
9. Global Blockchain in Agriculture Market Analysis 2015-2019 and Forecast 2020-2030, By Organization size 
    9.1. Introduction / Key Findings
    9.2. Historical Market Size (US$ Mn) and Volume Analysis By Organization size, 2015 - 2019
    9.3. Current and Future Market Size (US$ Mn) and Volume Analysis and Forecast By Organization size, 2020 - 2030
        9.3.1. Large enterprises
        9.3.2. Small and medium-sized (SMEs) enterprises
    9.4. Market Attractiveness Analysis By Organization size
10. Global Blockchain in Agriculture Market Analysis 2015-2019 and Forecast 2020-2030, By Region
    10.1. Introduction
    10.2. Historical Market Size (US$ Mn) and Volume Analysis By Region, 2015 - 2019
    10.3. Current Market Size (US$ Mn) and Volume Analysis and Forecast By Region, 2020 - 2030
        10.3.1. North America
        10.3.2. Latin America
        10.3.3. Europe
        10.3.4. East Asia
        10.3.5. South Asia
        10.3.6. Oceania
        10.3.7. Middle East and Africa (MEA)
    10.4. Market Attractiveness Analysis By Region
11. North America Blockchain in Agriculture Market Analysis 2015-2019 and Forecast 2020-2030
    11.1. Introduction
    11.2. Pricing Analysis
    11.3. Historical Market Size (US$ Mn) and Volume Trend Analysis By Market Taxonomy, 2015 - 2019
    11.4. Market Size (US$ Mn) and Volume Forecast By Market Taxonomy, 2020 - 2030
        11.4.1.  By Country
            11.4.1.1. U.S.
            11.4.1.2. Canada
        11.4.2. By Provider
        11.4.3. By Application
        11.4.4. By Organization size
    11.5. Market Attractiveness Analysis
        11.5.1. By Country
        11.5.2. By Provider
        11.5.3. By Application
        11.5.4. By Organization size
    11.6. Market Trends
    11.7. Key Market Participants - Intensity Mapping
    11.8. Drivers and Restraints - Impact Analysis
12. Latin America Blockchain in Agriculture Market Analysis 2015-2019 and Forecast 2020-2030
    12.1. Introduction
    12.2. Pricing Analysis
    12.3. Historical Market Size (US$ Mn) and Volume Trend Analysis By Market Taxonomy, 2015 - 2019
    12.4. Market Size (US$ Mn) and Volume Forecast By Market Taxonomy, 2020 - 2030
        12.4.1.  By Country
            12.4.1.1. Brazil
            12.4.1.2. Mexico
            12.4.1.3. Rest of Latin America
        12.4.2. By Provider
        12.4.3. By Application
        12.4.4. By Organization size
    12.5. Market Attractiveness Analysis
        12.5.1. By Country
        12.5.2. By Provider
        12.5.3. By Application
        12.5.4. By Organization size
    12.6. Market Trends
    12.7. Key Market Participants - Intensity Mapping
    12.8. Drivers and Restraints - Impact Analysis
13. Europe Blockchain in Agriculture Market Analysis 2015-2019 and Forecast 2020-2030
    13.1. Introduction
    13.2. Pricing Analysis
    13.3. Historical Market Size (US$ Mn) and Volume Trend Analysis By Market Taxonomy, 2015 - 2019
    13.4. Market Size (US$ Mn) and Volume Forecast By Market Taxonomy, 2020 - 2030
        13.4.1.  By Country
            13.4.1.1. Germany
            13.4.1.2. Italy
            13.4.1.3. France
            13.4.1.4. U.K.
            13.4.1.5. Spain
            13.4.1.6. BENELUX
            13.4.1.7. Nordic
            13.4.1.8. Russia
            13.4.1.9. Poland
            13.4.1.10. Rest of Europe
        13.4.2. By Provider
        13.4.3. By Application
        13.4.4. By Organization size
    13.5. Market Attractiveness Analysis
        13.5.1. By Country
        13.5.2. By Provider
        13.5.3. By Application
        13.5.4. By Organization size
    13.6. Market Trends
    13.7. Key Market Participants - Intensity Mapping
    13.8. Drivers and Restraints - Impact Analysis
14. East Asia Blockchain in Agriculture Market Analysis 2015-2019 and Forecast 2020-2030
    14.1. Introduction
    14.2. Pricing Analysis
    14.3. Historical Market Size (US$ Mn) and Volume Trend Analysis By Market Taxonomy, 2015 - 2019
    14.4. Market Size (US$ Mn) and Volume Forecast By Market Taxonomy, 2020 - 2030
        14.4.1.  By Country
            14.4.1.1. China
            14.4.1.2. Japan
            14.4.1.3. South Korea
        14.4.2. By Provider
        14.4.3. By Application
        14.4.4. By Organization size
    14.5. Market Attractiveness Analysis
        14.5.1. By Country
        14.5.2. By Provider
        14.5.3. By Application
        14.5.4. By Organization size
    14.6. Market Trends
    14.7. Key Market Participants - Intensity Mapping
    14.8. Drivers and Restraints - Impact Analysis
15. South Asia Blockchain in Agriculture Market Analysis 2015-2019 and Forecast 2020-2030
    15.1. Introduction
    15.2. Pricing Analysis
    15.3. Historical Market Size (US$ Mn) and Volume Trend Analysis By Market Taxonomy, 2015 - 2019
    15.4. Market Size (US$ Mn) and Volume Forecast By Market Taxonomy, 2020 - 2030
        15.4.1.  By Country
            15.4.1.1. India
            15.4.1.2. Thailand
            15.4.1.3. Indonesia
            15.4.1.4. Malaysia
            15.4.1.5. Singapore
            15.4.1.6. Rest of South Asia
        15.4.2. By Provider
        15.4.3. By Application
        15.4.4. By Organization size
    15.5. Market Attractiveness Analysis
        15.5.1. By Country
        15.5.2. By Provider
        15.5.3. By Application
        15.5.4. By Organization size
    15.6. Market Trends
    15.7. Key Market Participants - Intensity Mapping
    15.8. Drivers and Restraints - Impact Analysis
16. Oceania Blockchain in Agriculture Market Analysis 2015-2019 and Forecast 2020-2030
    16.1. Introduction
    16.2. Pricing Analysis
    16.3. Historical Market Size (US$ Mn) and Volume Trend Analysis By Market Taxonomy, 2015 - 2019
    16.4. Market Size (US$ Mn) and Volume Forecast By Market Taxonomy, 2020 - 2030
        16.4.1.  By Country
            16.4.1.1. Australia
            16.4.1.2. New Zealand
        16.4.2. By Provider
        16.4.3. By Application
        16.4.4. By Organization size
    16.5. Market Attractiveness Analysis
        16.5.1. By Country
        16.5.2. By Provider
        16.5.3. By Application
        16.5.4. By Organization size
    16.6. Market Trends
    16.7. Key Market Participants - Intensity Mapping
    16.8. Drivers and Restraints - Impact Analysis
17. Middle East and Africa Blockchain in Agriculture Market Analysis 2015-2019 and Forecast 2020-2030
    17.1. Introduction
    17.2. Pricing Analysis
    17.3. Historical Market Size (US$ Mn) and Volume Trend Analysis By Market Taxonomy, 2015 - 2019
    17.4. Market Size (US$ Mn) and Volume Forecast By Market Taxonomy, 2020 - 2030
        17.4.1.  By Country
            17.4.1.1. GCC Countries
            17.4.1.2. South Africa
            17.4.1.3. Rest of Middle East and Africa
        17.4.2. By Provider
        17.4.3. By Application
        17.4.4. By Organization size
    17.5. Market Attractiveness Analysis
        17.5.1. By Country
        17.5.2. By Provider
        17.5.3. By Application
        17.5.4. By Organization size
    17.6. Market Trends
    17.7. Key Market Participants - Intensity Mapping
    17.8. Drivers and Restraints - Impact Analysis
18. Emerging Countries Blockchain in Agriculture Market Analysis 2015-2019 and Forecast 2020-2030
    18.1. Introduction
        18.1.1. Market Value Proportion Analysis, By Key Countries
        18.1.2. Growth Comparison of Global Market v/s Emerging Countries
    18.2. Turkey Blockchain in Agriculture Market Analysis
        18.2.1. Introduction
        18.2.2. Pricing Analysis
        18.2.3. PEST Analysis
        18.2.4. Market Value Proportion Analysis by Market Taxonomy
        18.2.5. Market Volume (Metric Tons) and Value (US$ Mn) Analysis and Forecast by Market Taxonomy
            18.2.5.1. By Provider
            18.2.5.2. By Application
            18.2.5.3. By Organization size
        18.2.6. Turkey Blockchain in Agriculture Market - Competition Landscape
        18.2.7. Turkey - Trade Analysis
    18.3. India Blockchain in Agriculture Market Analysis
        18.3.1. Introduction
        18.3.2. Pricing Analysis
        18.3.3. PEST Analysis
        18.3.4. Market Value Proportion Analysis by Market Taxonomy
        18.3.5. Market Volume (Metric Tons) and Value (US$ Mn) Analysis and Forecast by Market Taxonomy
            18.3.5.1. By Provider
            18.3.5.2. By Application
            18.3.5.3. By Organization size
        18.3.6. India Blockchain in Agriculture Market - Competition Landscape
    18.4. ASEAN Blockchain in Agriculture Market Analysis
        18.4.1. Introduction
        18.4.2. Pricing Analysis
        18.4.3. PEST Analysis
        18.4.4. Market Value Proportion Analysis by Market Taxonomy
        18.4.5. Market Volume (Mn Units) and Value (US$ Mn) Analysis and Forecast by Market Taxonomy
            18.4.5.1. By Provider
            18.4.5.2. By Application
            18.4.5.3. By Organization size
        18.4.6. ASEAN Blockchain in Agriculture Market - Competition Landscape
19. Market Structure Analysis
    19.1. Market Analysis by Tier of Companies 
    19.2. Market Concentration
    19.3. Market Share Analysis of Top Players
    19.4. Market Presence Analysis
        19.4.1. By Regional Footprint of Players
        19.4.2. Product Footprint by Players
        19.4.3. Channel Footprint by Players
20. Competition Analysis
    20.1. Competition Dashboard
    20.2. Pricing Analysis by Competition
    20.3. Competition Benchmarking
    20.4. Competition Deep pe (Tentative List)
Blockchain in Agriculture Manufacturers
        20.4.1. IBM
            20.4.1.1. Overview
            20.4.1.2. Product Portfolio
            20.4.1.3. Profitability by Market Segments (Product/Channel/Region)
            20.4.1.4. Sales Footprint
            20.4.1.5. Strategy Overview
                20.4.1.5.1. Marketing Strategy
                20.4.1.5.2. Product Strategy
        20.4.2. Microsoft
            20.4.2.1. Overview
            20.4.2.2. Product Portfolio
            20.4.2.3. Profitability by Market Segments (Product/Channel/Region)
            20.4.2.4. Sales Footprint
            20.4.2.5. Strategy Overview
                20.4.2.5.1. Marketing Strategy
                20.4.2.5.2. Product Strategy
        20.4.3. SAP-SE
            20.4.3.1. Overview
            20.4.3.2. Product Portfolio
            20.4.3.3. Profitability by Market Segments (Product/Channel/Region)
            20.4.3.4. Sales Footprint
            20.4.3.5. Strategy Overview
                20.4.3.5.1. Marketing Strategy
                20.4.3.5.2. Product Strategy
        20.4.4. Ambrosus
            20.4.4.1. Overview
            20.4.4.2. Product Portfolio
            20.4.4.3. Profitability by Market Segments (Product/Channel/Region)
            20.4.4.4. Sales Footprint
            20.4.4.5. Strategy Overview
                20.4.4.5.1. Marketing Strategy
                20.4.4.5.2. Product Strategy
        20.4.5. Arc-net
            20.4.5.1. Overview
            20.4.5.2. Product Portfolio
            20.4.5.3. Profitability by Market Segments (Product/Channel/Region)
            20.4.5.4. Sales Footprint
            20.4.5.5. Strategy Overview
                20.4.5.5.1. Marketing Strategy
                20.4.5.5.2. Product Strategy
        20.4.6. OriginTrail
            20.4.6.1. Overview
            20.4.6.2. Product Portfolio
            20.4.6.3. Profitability by Market Segments (Product/Channel/Region)
            20.4.6.4. Sales Footprint
            20.4.6.5. Strategy Overview
                20.4.6.5.1. Marketing Strategy
                20.4.6.5.2. Product Strategy
        20.4.7. Ripe.io
            20.4.7.1. Overview
            20.4.7.2. Product Portfolio
            20.4.7.3. Profitability by Market Segments (Product/Channel/Region)
            20.4.7.4. Sales Footprint
            20.4.7.5. Strategy Overview
                20.4.7.5.1. Marketing Strategy
                20.4.7.5.2. Product Strategy
        20.4.8. VeChain
            20.4.8.1. Overview
            20.4.8.2. Product Portfolio
            20.4.8.3. Profitability by Market Segments (Product/Channel/Region)
            20.4.8.4. Sales Footprint
            20.4.8.5. Strategy Overview
                20.4.8.5.1. Marketing Strategy
                20.4.8.5.2. Product Strategy
        20.4.9. Provenance
            20.4.9.1. Overview
            20.4.9.2. Product Portfolio
            20.4.9.3. Profitability by Market Segments (Product/Channel/Region)
            20.4.9.4. Sales Footprint
            20.4.9.5. Strategy Overview
                20.4.9.5.1. Marketing Strategy
                20.4.9.5.2. Product Strategy
        20.4.10. ChainVine
            20.4.10.1. Overview
            20.4.10.2. Product Portfolio
            20.4.10.3. Profitability by Market Segments (Product/Channel/Region)
            20.4.10.4. Sales Footprint
            20.4.10.5. Strategy Overview
                20.4.10.5.1. Marketing Strategy
                20.4.10.5.2. Product Strategy
        20.4.11. AgriDigital
            20.4.11.1. Overview
            20.4.11.2. Product Portfolio
            20.4.11.3. Profitability by Market Segments (Product/Channel/Region)
            20.4.11.4. Sales Footprint
            20.4.11.5. Strategy Overview
                20.4.11.5.1. Marketing Strategy
                20.4.11.5.2. Product Strategy
        20.4.12. BlockGrain
            20.4.12.1. Overview
            20.4.12.2. Product Portfolio
            20.4.12.3. Profitability by Market Segments (Product/Channel/Region)
            20.4.12.4. Sales Footprint
            20.4.12.5. Strategy Overview
                20.4.12.5.1. Marketing Strategy
                20.4.12.5.2. Product Strategy
21. Assumptions and Acronyms Used

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