Global Supply Chain Management (SCM) in Textile Industry Market Size By Application (Apparel & Clothing, Industrial Application), By Solution Type (Production Scheduling, Capacity Planning), By Organization Size (Large Enterprises, SMEs), By Geographic Scope And Forecast

Report ID: 268210|No. of Pages: 202

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Global Supply Chain Management (SCM) in Textile Industry Market Size By Application (Apparel & Clothing, Industrial Application), By Solution Type (Production Scheduling, Capacity Planning), By Organization Size (Large Enterprises, SMEs), By Geographic Scope And Forecast

Report ID: 268210|Published Date: Nov 2024|No. of Pages: 202|Base Year for Estimate: 2023|Format:   Report available in PDF formatReport available in Excel Format

Supply Chain Management (SCM) in Textile Industry Market Size And Forecast

Supply Chain Management (SCM) in Textile Industry Market size was valued at USD 2746.99 Million in 2023 and is projected to reach USD 5394.62 Million by 2031, growing at a CAGR of 9.71% from 2024 to 2031.

  • Supply Chain Management (SCM) in the textile industry refers to the coordinated management of the entire textile production and distribution process, from raw material acquisition to final garment or textile product delivery. It includes the planning, procurement, production, and logistics of converting raw materials like cotton, wool, or synthetic fibers into finished products like apparel, home textiles, and industrial fabrics.
  • The primary application of SCM in the textile sector is to improve production efficiency, reduce lead times, and ensure product traceability. Textile companies can use excellent SCM to optimize inventory management, precisely estimate demand, and streamline operations from sourcing to manufacturing and delivery. Furthermore, SCM enables greater collaboration with suppliers, manufacturers, and retailers, resulting in timely product delivery.
  • Technological breakthroughs such as artificial intelligence, internet of things, blockchain, and automation are shaping the future of supply chain management in the textile sector. AI-powered SCM platforms will improve demand forecasting and real-time analytics, while IoT devices will provide greater visibility across the supply chain. Blockchain technology is projected to play an important role in improving textile transparency and traceability, hence meeting customer demand for ethically made and ecological products.

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Supply Chain Management (SCM) in Textile Industry Market is estimated to grow at a CAGR of 9.71% & reach US$ 5394.62 Bn by the end of 2031

Global Supply Chain Management (SCM) in Textile Industry Market Dynamics

The key market dynamics that are shaping the global Supply Chain Management (SCM) in Textile Industry Market include:

Key Market Drivers:

  • Advancements in Digital Technologies and Automation: The integration of AI, ML, and automation in supply chain processes has significantly enhanced decision-making, forecasting, and operational efficiencies. These technologies enable businesses to predict demand, optimize inventory management, and reduce human errors which ultimately leads to more efficient and agile supply chains. Moreover, the adoption of IoT devices has improved real-time monitoring of goods and assets allowing businesses to respond proactively to supply chain disruptions and avoid costly delays.
  • Rising Complexity of Global Supply Chains: The growing globalization of trade, combined with the rise of e-commerce has led to more intricate and dispersed supply chains. Companies now have to manage multiple suppliers, distribution centers, and customers across different geographies. This has increased the demand for SCM solutions that provide visibility and coordination across all these touchpoints. Businesses are increasingly relying on these solutions to handle complex logistics, optimize shipping routes, and ensure timely deliveries in a competitive environment where customer expectations for faster deliveries are continually increasing.
  • Growth in E-commerce and Omnichannel Retailing: The boom in e-commerce, especially following the COVID-19 pandemic has transformed the way supply chains operate. E-commerce platforms are placing immense pressure on supply chain networks to handle high volumes of smaller, faster deliveries. SCM systems help optimize last-mile delivery, ensure real-time inventory updates, and manage the return processes efficiently. The rise of omnichannel retailing, where consumers interact with brands across multiple platforms has further fueled the demand for SCM solutions that can seamlessly integrate online and offline operations.

Key Challenges:

  • Supply Chain Disruptions and Risk Management: Global supply chains have become more vulnerable to disruptions from natural disasters, geopolitical tensions, and unexpected events like the COVID-19 pandemic. Companies need to invest in robust SCM systems that not only streamline operations but also offer predictive capabilities for risk management and disruption mitigation. However, implementing these advanced solutions requires significant financial investment and technological expertise which may be a barrier for smaller companies.
  • High Costs of SCM Solutions Implementation: Despite the numerous benefits of SCM systems, the high cost of implementing these solutions remains a significant challenge for many organizations, particularly small and medium-sized enterprises (SMEs). The investment required for hardware, software, and system integration as well as the continuous need for upgrades and maintenance, can be prohibitive for businesses with limited financial resources.
  • Data Privacy and Cybersecurity Concerns: As SCM systems become more digitized and reliant on cloud-based platforms, the risk of cyberattacks and data breaches has risen. Protecting sensitive supply chain data such as trade secrets, customer information, and transaction details has become paramount. Businesses are now facing growing pressure to implement stringent data privacy measures and cybersecurity protocols to safeguard their operations against potential threats.

Key Trends:

  • Adoption of Cloud-Based SCM Solutions: Cloud-based SCM solutions are witnessing a surge in adoption due to their flexibility, scalability, and cost-effectiveness. These solutions allow businesses to access their supply chain data from anywhere, enabling real-time decision-making and improved collaboration among global teams. Additionally, cloud-based SCM systems reduce the need for on-premises infrastructure making them an attractive option for businesses looking to minimize operational costs while ensuring efficient supply chain management.
  • Focus on Sustainable Supply Chains: With growing concerns over environmental impact and corporate social responsibility, businesses are increasingly focused on making their supply chains more sustainable. SCM systems are being leveraged to track and reduce carbon footprints, minimize waste, and optimize resource use throughout the supply chain. Companies are also focusing on ethical sourcing and ensuring that their supply chain partners adhere to fair labor practices and environmental regulations.
  • Increased Use of Blockchain for Transparency: Blockchain technology is being increasingly integrated into SCM systems to enhance transparency, traceability, and security. By creating a decentralized and immutable ledger, blockchain enables companies to track the movement of goods, verify the authenticity of products, and ensure compliance with industry standards. This is particularly important in industries such as pharmaceuticals, food and beverages, and luxury goods where counterfeit products and fraud are significant concerns.

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Global Supply Chain Management (SCM) in Textile Industry Market Regional Analysis

Here is a more detailed regional analysis of the global Supply Chain Management (SCM) in Textile Industry Market:

Asia Pacific:

  • The Asia Pacific region dominates the supply chain management (SCM) in the Textile industry market driven by its well-established textile manufacturing hub and growing technological advancements. China, India, Bangladesh, and Vietnam are key contributors to this dominance primarily due to large-scale textile production, lower labour costs, and an extensive supply chain network. These countries are witnessing rapid industrialization and have become crucial players in the global textile supply chain, supplying raw materials manufacturing, and export services to markets across the globe.
  • According to the World Trade Organization (WTO), Asia accounts for over 60% of global textile and apparel exports. With the rise of e-commerce and the increasing demand for fast fashion, manufacturers in the region are adopting SCM solutions to enhance operational efficiency, reduce lead times, and meet changing consumer preferences.
  • The integration of AI, automation, and IoT in textile SCM solutions is driving innovation and helping manufacturers in the region to optimize production schedules, reduce wastage, and improve logistics management. Furthermore, the region’s large labour force, coupled with government support for digitization, is expected to continue bolstering SCM investments in the textile sector.

North America:

  • The North American SCM market in the textile industry is expanding with the United States being the key player, supported by advancements in automation and technology adoption. The region’s robust demand for sustainable and ethically sourced textile products has pushed companies to adopt advanced SCM solutions to ensure transparency and traceability throughout the supply chain.
  • The growing focus on reshoring manufacturing operations to reduce reliance on imports and mitigate supply chain disruptions is further driving SCM market growth in North America. The U.S. government’s emphasis on domestic production of textile and apparel products has led to increased investments in SCM solutions to streamline operations and enhance production efficiency.
  • According to the American Apparel & Footwear Association (AAFA), the U.S. textile industry is one of the most sophisticated in the world, with a high level of innovation in fibre technologies. SCM solutions are helping companies improve product life-cycle management, manage complex supplier networks, and meet sustainability goals.

Global Supply Chain Management (SCM) in Textile Industry Market: Segmentation Analysis

The Global Supply Chain Management (SCM) in the Textile Industry Market is segmented on the basis of Solution Type, Application, Organization Size, and Geography.

Supply Chain Management (SCM) in Textile Industry Market: Segmentation Analysis

Supply Chain Management (SCM) in the Textile Industry Market, By Solution Type

  • Production Scheduling
  • Capacity Planning

Based on Solution Type, The market is segmented into Production Scheduling and Capacity Planning. Production Scheduling solutions help manufacturers streamline their production processes by effectively organizing manufacturing activities to meet varying demand levels. This optimization minimizes lead times and improves operational efficiency. Capacity Planning, on the other hand, focuses on analyzing production capabilities and resource allocation to meet current and future market demands.

Supply Chain Management (SCM) in the Textile Industry Market, By Application

  • On-Premises SCM Solutions
  • Cloud-Based SCM Solutions

Based on Application, The market is segmented into On-Premises SCM Solutions and Cloud-Based SCM Solutions. The cloud-based solutions are anticipated to see substantial growth due to their flexibility, scalability, and cost efficiency. Textile manufacturers increasingly favor these solutions for streamlining operations, enhancing collaboration with suppliers, and achieving real-time visibility across their supply chains. Conversely, On-Premises SCM Solutions continue to hold significance, particularly for large manufacturers that prefer to maintain control over their data and IT infrastructure.

Supply Chain Management (SCM) in Textile Industry Market, By Organization Size

  • Large Enterprises
  • Small and Medium Enterprises (SMEs)

Based on Organization Size, The market is segmented into Large Enterprises and Small and Medium Enterprises (SMEs). Large enterprises dominate the market because they possess extensive supply chain networks and higher adoption rates of advanced SCM technologies. They utilize sophisticated systems to manage logistics and procurement effectively. In contrast, SMEs are increasingly investing in SCM solutions to enhance competitiveness and reduce operational inefficiencies, leveraging cloud-based technologies for greater access to essential tools that can optimize their operations.

Supply Chain Management (SCM) in Textile Industry Market, By Geography

  • North America
  • Europe
  • Asia Pacific
  • Rest of the world

Based on Geography, The Global Supply Chain Management (SCM) in Textile Industry Market is segmented into North America, Europe, Asia Pacific, and Rest of the World. Asia Pacific dominates the market due to its strong textile manufacturing base and growing technological advancements in SCM solutions. North America and Europe are also significant markets, driven by the demand for sustainable and ethically sourced textiles, while Latin America and the Middle East & Africa are emerging as growth regions.

Key Players

The “Global Supply Chain Management (SCM) in Textile Industry Market” study report will provide valuable insight with an emphasis on the global market. The major players in the market are Accenture, Oracle Corporation, SAP SE, Blue Yonder Group, Manhattan Associates, BSL Ltd., enVista., Scoutbee, Altana AI, Keelvar, Anvyl, Mercado.

Our market analysis also entails a section solely dedicated to such major players wherein our analysts provide an insight into the financial statements of all the major players, along with product benchmarking and SWOT analysis.

Global Supply Chain Management (SCM) in Textile Industry Market Key Developments

Supply Chain Management (SCM) in Textile Industry Market Key Developments And Mergers

  • In September 2023, a leading SCM software provider, SAP SE, introduced an AI-powered SCM platform tailored specifically for the textile industry. This platform integrates machine learning and real-time analytics to help textile manufacturers optimize their supply chain operations, from raw material procurement to final product delivery.
  • In November 2023, Oracle Corporation launched a blockchain-based SCM solution for textile manufacturers, aimed at improving transparency and traceability throughout the supply chain. This innovative system allows companies to track the origin of raw materials, including cotton and synthetic fibers, ensuring compliance with sustainability standards and consumer demand for ethically sourced products.

Report Scope

REPORT ATTRIBUTESDETAILS
STUDY PERIOD

2020-2031

BASE YEAR

2023

FORECAST PERIOD

2024-2031

HISTORICAL PERIOD

2020-2022

UNIT

Value (USD Billion)

KEY COMPANIES PROFILED

Accenture, Oracle Corporation, SAP SE, Blue Yonder Group, Manhattan Associates, BSL Ltd., enVista., Scoutbee, Altana AI, Keelvar, Anvyl, Mercado.

SEGMENTS COVERED

By Solution Type, By Application, By Organization Size, and By Geography.

CUSTOMIZATION SCOPE

Free report customization (equivalent to up to 4 analysts’ working days) with purchase. Addition or alteration to country, regional & segment scope.

Research Methodology of Verified Market Research:

Research Methodology of VMR

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Reasons to Purchase this Report

• Qualitative and quantitative analysis of the market based on segmentation involving both economic as well as non-economic factors
• Provision of market value (USD Billion) data for each segment and sub-segment
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• Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the factors that are affecting the market within each region
• Competitive landscape which incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions, and acquisitions in the past five years of companies profiled
• Extensive company profiles comprising of company overview, company insights, product benchmarking, and SWOT analysis for the major market players
• The current as well as the future market outlook of the industry with respect to recent developments which involve growth opportunities and drivers as well as challenges and restraints of both emerging as well as developed regions
• Includes in-depth analysis of the market from various perspectives through Porter’s five forces analysis
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Frequently Asked Questions

Supply Chain Management (SCM) in Textile Industry Market was valued at USD 2746.99 Million in 2023 and is projected to reach USD 5394.62 Million by 2031, growing at a CAGR of 9.71% from 2024 to 2031.

Advancements in digital technologies and automation and rising complexity of global supply chains are the factors driving market growth.

The major players are Accenture, Oracle Corporation, SAP SE, Blue Yonder Group, Manhattan Associates, BSL Ltd., enVista., Scoutbee, Altana AI, Keelvar, Anvyl, Mercado.

The Global Supply Chain Management (SCM) in the Textile Industry Market is segmented on the basis of Solution Type, Application, Organization Size, and Geography.

The sample report for the Supply Chain Management (SCM) in Textile Industry Market can be obtained on demand from the website. Also, 24*7 chat support & direct call services are provided to procure the sample report.

1. Introduction
· Market Definition
· Market Segmentation
· Research Methodology

2. Executive Summary
· Key Findings
· Market Overview
· Market Highlights

3. Market Overview
· Market Size and Growth Potential
· Market Trends
· Market Drivers
· Market Restraints
· Market Opportunities
· Porter’s Five Forces Analysis

4. Supply Chain Management (SCM) in Textile Industry Market, By Solution Type
• Production Scheduling
• Capacity Planning

5. Supply Chain Management (SCM) in Textile Industry Market, By Organization Size
• Large Enterprises
• Small and Medium Enterprises (SMEs)

6. Supply Chain Management (SCM) in Textile Industry Market, By Application
• On-Premises SCM Solutions
• Cloud-Based SCM Solutions

7. Regional Analysis
· North America
· United States
· Canada
· Mexico
· Europe
· United Kingdom
· Germany
· France
· Italy
· Asia-Pacific
· China
· Japan
· India
· Australia
· Latin America
· Brazil
· Argentina
· Chile
· Middle East and Africa
· South Africa
· Saudi Arabia
· UAE

8. Market Dynamics
· Market Drivers
· Market Restraints
· Market Opportunities
· Impact of COVID-19 on the Market

9. Competitive Landscape
· Key Players
· Market Share Analysis

10. Company Profiles
• Accenture
• Oracle Corporation
• SAP SE
• Blue Yonder Group
• Manhattan Associates
• BSL Ltd.
• enVista
• Scoutbee
• Altana AI
• Keelvar
• Anvyl
• Mercado

11. Market Outlook and Opportunities
• Emerging Technologies
• Future Market Trends
• Investment Opportunities

12. Appendix
• List of Abbreviations
• Sources and References

Report Research Methodology

Research methodology

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This additionally supports the market researchers in segmenting different segments of the market for analysing them individually.

We appoint data triangulation strategies to explore different areas of the market. This way, we ensure that all our clients get reliable insights associated with the market. Different elements of research methodology appointed by our experts include:

Exploratory data mining

Market is filled with data. All the data is collected in raw format that undergoes a strict filtering system to ensure that only the required data is left behind. The leftover data is properly validated and its authenticity (of source) is checked before using it further. We also collect and mix the data from our previous market research reports.

All the previous reports are stored in our large in-house data repository. Also, the experts gather reliable information from the paid databases.

expert data mining

For understanding the entire market landscape, we need to get details about the past and ongoing trends also. To achieve this, we collect data from different members of the market (distributors and suppliers) along with government websites.

Last piece of the ‘market research’ puzzle is done by going through the data collected from questionnaires, journals and surveys. VMR analysts also give emphasis to different industry dynamics such as market drivers, restraints and monetary trends. As a result, the final set of collected data is a combination of different forms of raw statistics. All of this data is carved into usable information by putting it through authentication procedures and by using best in-class cross-validation techniques.

Data Collection Matrix

PerspectivePrimary ResearchSecondary Research
Supplier side
  • Fabricators
  • Technology purveyors and wholesalers
  • Competitor company’s business reports and newsletters
  • Government publications and websites
  • Independent investigations
  • Economic and demographic specifics
Demand side
  • End-user surveys
  • Consumer surveys
  • Mystery shopping
  • Case studies
  • Reference customer

Econometrics and data visualization model

data visualiztion model

Our analysts offer market evaluations and forecasts using the industry-first simulation models. They utilize the BI-enabled dashboard to deliver real-time market statistics. With the help of embedded analytics, the clients can get details associated with brand analysis. They can also use the online reporting software to understand the different key performance indicators.

All the research models are customized to the prerequisites shared by the global clients.

The collected data includes market dynamics, technology landscape, application development and pricing trends. All of this is fed to the research model which then churns out the relevant data for market study.

Our market research experts offer both short-term (econometric models) and long-term analysis (technology market model) of the market in the same report. This way, the clients can achieve all their goals along with jumping on the emerging opportunities. Technological advancements, new product launches and money flow of the market is compared in different cases to showcase their impacts over the forecasted period.

Analysts use correlation, regression and time series analysis to deliver reliable business insights. Our experienced team of professionals diffuse the technology landscape, regulatory frameworks, economic outlook and business principles to share the details of external factors on the market under investigation.

Different demographics are analyzed individually to give appropriate details about the market. After this, all the region-wise data is joined together to serve the clients with glo-cal perspective. We ensure that all the data is accurate and all the actionable recommendations can be achieved in record time. We work with our clients in every step of the work, from exploring the market to implementing business plans. We largely focus on the following parameters for forecasting about the market under lens:

  • Market drivers and restraints, along with their current and expected impact
  • Raw material scenario and supply v/s price trends
  • Regulatory scenario and expected developments
  • Current capacity and expected capacity additions up to 2027

We assign different weights to the above parameters. This way, we are empowered to quantify their impact on the market’s momentum. Further, it helps us in delivering the evidence related to market growth rates.

Primary validation

The last step of the report making revolves around forecasting of the market. Exhaustive interviews of the industry experts and decision makers of the esteemed organizations are taken to validate the findings of our experts.

The assumptions that are made to obtain the statistics and data elements are cross-checked by interviewing managers over F2F discussions as well as over phone calls.

primary validation

Different members of the market’s value chain such as suppliers, distributors, vendors and end consumers are also approached to deliver an unbiased market picture. All the interviews are conducted across the globe. There is no language barrier due to our experienced and multi-lingual team of professionals. Interviews have the capability to offer critical insights about the market. Current business scenarios and future market expectations escalate the quality of our five-star rated market research reports. Our highly trained team use the primary research with Key Industry Participants (KIPs) for validating the market forecasts:

  • Established market players
  • Raw data suppliers
  • Network participants such as distributors
  • End consumers

The aims of doing primary research are:

  • Verifying the collected data in terms of accuracy and reliability.
  • To understand the ongoing market trends and to foresee the future market growth patterns.

Industry Analysis Matrix

Qualitative analysisQuantitative analysis
  • Global industry landscape and trends
  • Market momentum and key issues
  • Technology landscape
  • Market’s emerging opportunities
  • Porter’s analysis and PESTEL analysis
  • Competitive landscape and component benchmarking
  • Policy and regulatory scenario
  • Market revenue estimates and forecast up to 2027
  • Market revenue estimates and forecasts up to 2027, by technology
  • Market revenue estimates and forecasts up to 2027, by application
  • Market revenue estimates and forecasts up to 2027, by type
  • Market revenue estimates and forecasts up to 2027, by component
  • Regional market revenue forecasts, by technology
  • Regional market revenue forecasts, by application
  • Regional market revenue forecasts, by type
  • Regional market revenue forecasts, by component

Supply Chain Management (SCM) in Textile Industry Market

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