MEDIA & ENTERTAINMENT
Global Blockchain for Supply Chain Traceability Market - Industry Trends and Forecast to 2032
REPORT OVERVIEW
Global Blockchain for Supply Chain Traceability Market, By Component (Platform and Services), Deployment Model (Cloud-based and On-premises), Organization Size (SMEs, Large enterprises), Technology (Public blockchain, Private blockchain, Hybrid blockchain), Application (Inventory management, Compliance management, Contract management, Provenance tracking, Others), End User (Healthcare & pharmaceuticals, Food & beverage, Logistics & transportation, Retail, Manufacturing, Automotive, Others), Region (North America, Europe, Asia-Pacific, South America, Middle East and Africa) – Industry Trends and Forecast to 2032.
Market Insights
The global blockchain for supply chain traceability market size is valued to be USD xx million in 2023 and is expected to reach USD xx million by 2032, and it is expected to register a CAGR of xx% over the forecast period 2024-2032.
Blockchain for Supply Chain Traceability is a technology that records and verifies transactions throughout a supply chain using a decentralized digital ledger. An unchangeable, transparent record of each transaction—from the source of raw materials to the finished consumer goods—is provided by this system. It improves traceability by ensuring that all data submissions are checked and cannot be changed retrospectively, hence increasing accountability and lowering fraud. The Blockchain for Supply Chain Traceability Market entails the creation and implementation of blockchain solutions to increase supply chain efficiency. It includes software platforms, services, and integration tools that are intended to provide real-time tracking, improve transparency, and simplify operations in a range of sectors, such as retail, manufacturing, and logistics.
The respective global report analyses market trends, consumer behaviour and industry dynamics to guide towards entry into new markets with ease. Also, it assists in tailoring market specific and related products and services to meet the needs, preferences, and expectations of target audience by delving into their psychology. The report also specializes with comprehensive and extensive competitive analysis which offers useful insights into competitor strengths, weaknesses, opportunities, and threats. The respective report offers exclusive insights into the potential impact of disruptive developments and technologies that are expected to completely transform corporate operations. The context includes tailor-made research solutions to create a stronger footprint in their particular industries thereby offering dedicated customized solutions according to the client needs which helps in addressing unique business challenges with more simplified and efficient decision-making solutions.
Market Dynamics
DRIVERS
- Need for enhanced transparency and traceability.
- Demand for fraud prevention and counterfeit reduction.
RESTRAINTS
- High implementation and integration costs.
- Lack of standardization and interoperability.
OPPORTUNITIES
- Expansion in emerging markets with growing supply chains.
- Development of industry-specific blockchain solutions.
CHALLENGES
- Complexities in integrating with existing systems.
- Resistance to change from traditional supply chain participants.
SEGMENTATION
- Component
- Platform
- Services
- Maintenance services
- Consulting services
- Integration services
- Deployment Model
- Cloud-based
- On-premises
- Organization Size
- SMEs
- Large enterprises
- Technology
- Public blockchain
- Private blockchain
- Hybrid blockchain
- Application
- Inventory management
- Compliance management
- Contract management
- Provenance tracking
- Others
- End User
- Healthcare & pharmaceuticals
- Food & beverage
- Logistics & transportation
- Retail
- Manufacturing
- Automotive
- Others
The respective global report is completely customizable specific to regions (North America, Europe, Asia-Pacific, South America, Middle East and Africa), countries, segments, and key players as per the client requirements.
REGIONAL SEGMENTATION
- North America
- U.S.
- Canada
- Mexico
- Rest of North America
- Europe
- Germany
- U.K.
- France
- Italy
- Spain
- Russia
- The Netherlands
- Belgium
- Turkey
- Rest of Europe
- Asia-Pacific
- China
- India
- Japan
- South Korea
- Singapore
- Malaysia
- Australia
- Thailand
- Philippines
- Rest of Asia-Pacific
- South America
- Brazil
- Argentina
- Chile
- Colombia
- Rest of South America
- Middle East and Africa
- Kingdom of Saudi Arabia
- South Africa
- U.A.E.
- Egypt
- Rest of Middle East and Africa
KEY MARKET PLAYERS
- IBM Corporation
- Microsoft Corporation
- SAP
- Oracle Corporation
- Accenture PLC
- VeChain
- Amazon Web Services (AWS)
- Infosys Ltd.
- Deloitte
- PricewaterhouseCoopers (PwC)
Table OF CONTENTS
- SECTION 1 - INTRODUCTION
- 1.1 Taxonomy
- 1.2 Market Overview
- 1.3 Currency and Limitations
- 1.3.1 Currency
- 1.3.2 Limitations
- 1.4 Key Competitors
- SECTION 2 - RESEARCH METHODOLOGY
- 2.1 Research Approach
- 2.2 Data Collection and Validation
- 2.2.1 Secondary Research
- 2.2.2 Primary Research
- 2.3 Market Assessment
- 2.3.1 Market Size Estimation
- 2.3.2 Bottom-up Approach
- 2.3.3 Top-down Approach
- 2.3.4 Growth Forecast
- 2.4 Market Study Assumptions
- 2.5 Data Sources
- SECTION 3 - EXECUTIVE SUMMARY
- 3.1 Global Blockchain for Supply Chain Traceability Market, by Component
- 3.2 Global Blockchain for Supply Chain Traceability Market, by Deployment Model
- 3.3 Global Blockchain for Supply Chain Traceability Market, by Organization Size
- 3.4 Global Blockchain for Supply Chain Traceability Market, by Technology
- 3.5 Global Blockchain for Supply Chain Traceability Market, by Application
- 3.6 Global Blockchain for Supply Chain Traceability Market, by End User
- 3.7 Global Blockchain for Supply Chain Traceability Market, by Geography
- 3.8 Market Position Grid
- SECTION 4 - PREMIUM INSIGHTS
- 4.1 Regulatory Framework
- 4.1.1 Standards
- 4.1.2 Regulatory Landscape
- 4.2 Value Chain Analysis
- 4.3 Supply Chain Analysis
- 4.4 COVID-19 Impact
- 4.5 Russia-Ukraine War Impact
- 4.6 PORTER's Five Force Analysis
- 4.7 PESTLE Analysis
- 4.8 SWOT Analysis
- 4.9 Go to Market Strategy
- 4.10 Opportunity Orbit
- 4.11 Multivariate Modelling
- 4.12 Pricing Analysis
- SECTION 5 - MARKET DYNAMICS
- 5.1 Trends
- 5.1.1 Increasing adoption of blockchain for end-to-end supply chain visibility.
- 5.1.2 Growing use of smart contracts to automate processes.
- 5.1.3 Trend 3
- 5.2 Drivers
- 5.2.1 Need for enhanced transparency and traceability.
- 5.2.2 Demand for fraud prevention and counterfeit reduction.
- 5.2.3 Driver 3
- 5.2.4 Driver 4
- 5.3 Restraints
- 5.3.1 High implementation and integration costs.
- 5.3.2 Lack of standardization and interoperability.
- 5.3.3 Restraint 3
- 5.4 Opportunities
- 5.4.1 Expansion in emerging markets with growing supply chains.
- 5.4.2 Development of industry-specific blockchain solutions.
- 5.4.3 Opportunity 3
- 5.4.4 Opportunity 4
- 5.5 Challenges
- 5.5.1 Complexities in integrating with existing systems.
- 5.5.2 Resistance to change from traditional supply chain participants.
- 5.5.3 Challenge 3
- SECTION 6 - GLOBAL BLOCKCHAIN FOR SUPPLY CHAIN TRACEABILITY MARKET, BY COMPONENT
- 6.1 Component Summary
- 6.2 Market Attractive Index
- 6.3 Global Blockchain for Supply Chain Traceability Market, by Component (2019-2032)
- SECTION 7 - GLOBAL BLOCKCHAIN FOR SUPPLY CHAIN TRACEABILITY MARKET, BY DEPLOYMENT MODEL
- 7.1 Deployment Model Summary
- 7.2 Market Attractive Index
- 7.3 Global Blockchain for Supply Chain Traceability Market, by Deployment Model (2019-2032)
- SECTION 8 - GLOBAL BLOCKCHAIN FOR SUPPLY CHAIN TRACEABILITY MARKET, BY ORGANIZATION SIZE
- 8.1 Organization Size Summary
- 8.2 Market Attractive Index
- 8.3 Global Blockchain for Supply Chain Traceability Market, by Organization Size (2019-2032)
- SECTION 9 - GLOBAL BLOCKCHAIN FOR SUPPLY CHAIN TRACEABILITY MARKET, BY TECHNOLOGY
- 9.1 Technology Summary
- 9.2 Market Attractive Index
- 9.3 Global Blockchain for Supply Chain Traceability Market, by Technology (2019-2032)
- SECTION 10 - GLOBAL BLOCKCHAIN FOR SUPPLY CHAIN TRACEABILITY MARKET, BY APPLICATION
- 10.1 Application Summary
- 10.2 Market Attractive Index
- 10.3 Global Blockchain for Supply Chain Traceability Market, by Application (2019-2032)
- SECTION 11 - GLOBAL BLOCKCHAIN FOR SUPPLY CHAIN TRACEABILITY MARKET, BY END USER
- 11.1 End User Summary
- 11.2 Market Attractive Index
- 11.3 Global Blockchain for Supply Chain Traceability Market, by End User (2019-2032)
- SECTION 12 - GLOBAL BLOCKCHAIN FOR SUPPLY CHAIN TRACEABILITY MARKET, BY GEOGRAPHY
- 12.1 Regional Summary
- 12.2 Market Attractive Index
- 12.3 Global Blockchain for Supply Chain Traceability Market, by Geography (2019-2032)
- SECTION 13 - NORTH AMERICA BLOCKCHAIN FOR SUPPLY CHAIN TRACEABILITY MARKET
- 13.1 North America Summary
- 13.2 Market Attractive Index
- 13.3 North America Blockchain for Supply Chain Traceability Market, by Component (2019-2032)
- 13.4 North America Blockchain for Supply Chain Traceability Market, by Deployment Model (2019-2032)
- 13.5 North America Blockchain for Supply Chain Traceability Market, by Organization Size (2019-2032)
- 13.6 North America Blockchain for Supply Chain Traceability Market, by Technology (2019-2032)
- 13.7 North America Blockchain for Supply Chain Traceability Market, by Application (2019-2032)
- 13.8 North America Blockchain for Supply Chain Traceability Market, by End User (2019-2032)
- 13.9 North America Blockchain for Supply Chain Traceability Market, by Country (2019-2032)
- 13.9.1 U.S.
- 13.9.2 Canada
- 13.9.3 Mexico
- 13.9.4 Rest of North America
- SECTION 14 - EUROPE BLOCKCHAIN FOR SUPPLY CHAIN TRACEABILITY MARKET
- 14.1 Europe Summary
- 14.2 Market Attractive Index
- 14.3 Europe Blockchain for Supply Chain Traceability Market, by Component (2019-2032)
- 14.4 Europe Blockchain for Supply Chain Traceability Market, by Deployment Model (2019-2032)
- 14.5 Europe Blockchain for Supply Chain Traceability Market, by Organization Size (2019-2032)
- 14.6 Europe Blockchain for Supply Chain Traceability Market, by Technology (2019-2032)
- 14.7 Europe Blockchain for Supply Chain Traceability Market, by Application (2019-2032)
- 14.8 Europe Blockchain for Supply Chain Traceability Market, by End User (2019-2032)
- 14.9 Europe Blockchain for Supply Chain Traceability Market, by Country (2019-2032)
- 14.9.1 Germany
- 14.9.2 U.K.
- 14.9.3 France
- 14.9.4 Italy
- 14.9.5 Spain
- 14.9.6 Russia
- 14.9.7 The Netherlands
- 14.9.8 Belgium
- 14.9.9 Turkey
- 14.9.10 Rest of Europe
- SECTION 15 - ASIA-PACIFIC BLOCKCHAIN FOR SUPPLY CHAIN TRACEABILITY MARKET
- 15.1 Asia-Pacific Summary
- 15.2 Market Attractive Index
- 15.3 Asia-Pacific Blockchain for Supply Chain Traceability Market, by Component (2019-2032)
- 15.4 Asia-Pacific Blockchain for Supply Chain Traceability Market, by Deployment Model (2019-2032)
- 15.5 Asia-Pacific Blockchain for Supply Chain Traceability Market, by Organization Size (2019-2032)
- 15.6 Asia-Pacific Blockchain for Supply Chain Traceability Market, by Technology (2019-2032)
- 15.7 Asia-Pacific Blockchain for Supply Chain Traceability Market, by Application (2019-2032)
- 15.8 Asia-Pacific Blockchain for Supply Chain Traceability Market, by End User (2019-2032)
- 15.9 Asia-Pacific Blockchain for Supply Chain Traceability Market, by Country (2019-2032)
- 15.9.1 China
- 15.9.2 India
- 15.9.3 Japan
- 15.9.4 South Korea
- 15.9.5 Singapore
- 15.9.6 Malaysia
- 15.9.7 Australia
- 15.9.8 Thailand
- 15.9.9 Philippines
- 15.9.10 Rest of Asia-Pacific
- SECTION 16 - SOUTH AMERICA BLOCKCHAIN FOR SUPPLY CHAIN TRACEABILITY MARKET
- 16.1 South America Summary
- 16.2 Market Attractive Index
- 16.3 South America Blockchain for Supply Chain Traceability Market, by Component (2019-2032)
- 16.4 South America Blockchain for Supply Chain Traceability Market, by Deployment Model (2019-2032)
- 16.5 South America Blockchain for Supply Chain Traceability Market, by Organization Size (2019-2032)
- 16.6 South America Blockchain for Supply Chain Traceability Market, by Technology (2019-2032)
- 16.7 South America Blockchain for Supply Chain Traceability Market, by Application (2019-2032)
- 16.8 South America Blockchain for Supply Chain Traceability Market, by End User (2019-2032)
- 16.9 South America Blockchain for Supply Chain Traceability Market, by Country (2019-2032)
- 16.9.1 Brazil
- 16.9.2 Argentina
- 16.9.3 Chile
- 16.9.4 Colombia
- 16.9.5 Rest of South America
- SECTION 17 - MIDDLE EAST AND AFRICA BLOCKCHAIN FOR SUPPLY CHAIN TRACEABILITY MARKET
- 17.1 Middle East and Africa Summary
- 17.2 Market Attractive Index
- 17.3 Middle East and Africa Blockchain for Supply Chain Traceability Market, by Component (2019-2032)
- 17.4 Middle East and Africa Blockchain for Supply Chain Traceability Market, by Deployment Model (2019-2032)
- 17.5 Middle East and Africa Blockchain for Supply Chain Traceability Market, by Organization Size (2019-2032)
- 17.6 Middle East and Africa Blockchain for Supply Chain Traceability Market, by Technology (2019-2032)
- 17.7 Middle East and Africa Blockchain for Supply Chain Traceability Market, by Application (2019-2032)
- 17.8 Middle East and Africa Blockchain for Supply Chain Traceability Market, by End User (2019-2032)
- 17.9 Middle East and Africa Blockchain for Supply Chain Traceability Market, by Country (2019-2032)
- 17.9.1 Kingdom of Saudi Arabia
- 17.9.2 South Africa
- 17.9.3 U.A.E.
- 17.9.4 Egypt
- 17.9.5 Rest of Middle East and Africa
- SECTION 18 - COMPANY SHARE ANALYSIS
- 18.1 Global Blockchain for Supply Chain Traceability Market, Company Share Analysis
- 18.2 North America Blockchain for Supply Chain Traceability Market, Company Share Analysis
- 18.3 Europe Blockchain for Supply Chain Traceability Market, Company Share Analysis
- 18.4 Asia-Pacific Blockchain for Supply Chain Traceability Market, Company Share Analysis
- SECTION 19 - COMPANY PROFILES
- 19.1 IBM Corporation
- 19.1.1 Company Snapshot
- 19.1.2 Financial Overview
- 19.1.3 Product Portfolio
- 19.1.4 Recent Developments
- 19.2 Microsoft Corporation
- 19.2.1 Company Snapshot
- 19.2.2 Financial Overview
- 19.2.3 Product Portfolio
- 19.2.4 Recent Developments
- 19.3 SAP
- 19.3.1 Company Snapshot
- 19.3.2 Financial Overview
- 19.3.3 Product Portfolio
- 19.3.4 Recent Developments
- 19.4 Oracle Corporation
- 19.4.1 Company Snapshot
- 19.4.2 Financial Overview
- 19.4.3 Product Portfolio
- 19.4.4 Recent Developments
- 19.5 Accenture PLC
- 19.5.1 Company Snapshot
- 19.5.2 Financial Overview
- 19.5.3 Product Portfolio
- 19.5.4 Recent Developments
- 19.6 VeChain
- 19.6.1 Company Snapshot
- 19.6.2 Financial Overview
- 19.6.3 Product Portfolio
- 19.6.4 Recent Developments
- 19.7 Amazon Web Services (AWS)
- 19.7.1 Company Snapshot
- 19.7.2 Financial Overview
- 19.7.3 Product Portfolio
- 19.7.4 Recent Developments
- 19.8 Infosys Ltd.
- 19.8.1 Company Snapshot
- 19.8.2 Financial Overview
- 19.8.3 Product Portfolio
- 19.8.4 Recent Developments
- 19.9 Deloitte
- 19.9.1 Company Snapshot
- 19.9.2 Financial Overview
- 19.9.3 Product Portfolio
- 19.9.4 Recent Developments
- 19.10 PricewaterhouseCoopers (PwC)
- 19.10.1 Company Snapshot
- 19.10.2 Financial Overview
- 19.10.3 Product Portfolio
- 19.10.4 Recent Developments
- SECTION 20 - RELATED REPORTS
- SECTION 21 - DISCLAIMER
RESEARCH METHODOLOGY
The research methodology employed in Uniprism Market Research involves four basic steps namely research and data collection, data pre-processing, modeling and forecasting, quality assurance and output.
RESEARCH AND DATA COLLECTION
A tripod model research technique is followed for research and data collection in which various approaches such as primary research, secondary research, and product mapping are considered.
Primary research basically involves the process of conducting personalized interviews with market related professionals of major market players, investors, distributors, vendors and many more.
The secondary research include data published by government, annual reports, press releases, investor presentations of companies, white papers, certified publications, annual manufacturing limit of the respective industries related to the market, production consumption analysis of certain products respective to the market and many more.
Below mention are few of the sources which we have considered while estimating the market size:
For instance,
- Research articles published on Technium
- Science and MDPI
- Research publications by government approved associations and societies
Product mapping means the process of mapping the list of products that a key player contributes to the market as well as estimating the revenue of those products in order to define the Global Company share analysis of the respective Global Company in global, regional, and country level markets.
DATA PRE-PROCESSING
The term "data pre-processing" refers to the collection of procedures and methods used to clean, modify, and make ready for analysis the raw data gathered during research and data collection. The completion of this phase is necessary to guarantee that the data are reliable, consistent, and appropriate for statistical analysis and other data-driven tasks. The data pre-processing ensures that the information gathered from research and data collection is comparable and expressed in standard units, by the integration of missing data pointers and algorithmic approaches.
MODELING AND FORECASTING
The process of developing mathematical, statistical, or computational representations of real-world occurrences or relationships is known as modelling. These models are intended to replicate and explain market interactions, interdependence, and dynamics. These models are used by Uniprism Market Research to acquire a better knowledge of numerous market characteristics such as customer preferences, pricing elasticity, competition dynamics, and more. Depending on the individual study aims, many types of models are utilized, such as regression models, econometric models, decision tree models, and machine learning models.
Forecasting is the process of predicting future market conditions, trends, and occurrences using past data and models. Forecasting is used by Uniprism Market Research to estimate future sales, demand for products or services, market growth, and other important performance metrics. Forecasting accurately can assist organizations in making educated decisions about resource allocation, pricing, inventory management, and marketing tactics.
We create standardized bottom-up or top-down models that scale by leveraging data science and machine learning technology. All our market models consider the unique market characteristics of each country. Forecasting is based on major market indicators and a combination of traditional methodologies, such as exponential smoothing, time series analysis, regression analysis, and more modern techniques such as machine learning algorithms are all forecasting methodologies. The method chosen is determined on the nature of the data and the specific forecasting aims.
QUALITY ASSURANCE AND OUTPUT
Quality assurance and output involves the process of validation, adjustments, further publications of key market indicators. Extensive plausibility and consistency tests are performed on derived time series to ensure the high degree of quality of our market analysis. This quality assurance procedure also includes rigorous inspection, validation, and editing by an experienced management team to assure the dependability of the published data.