[192 Pages Report] The Supply Chain Analytics Market size was estimated at USD 6.60 billion in 2023 and expected to reach USD 7.58 billion in 2024, at a CAGR 15.21% to reach USD 17.80 billion by 2030.
Supply chain analytics enables companies to gain a deeper insight into their supply chain’s dynamics and complexities and help improve decision-making, determine consumer preferences, uncover inefficiencies, and build an autonomous supply chain. The rising need to extract insights and manage large amounts of data associated with supply chains is generating the need for advanced supply chain analytics solutions in various end-user industries, including eCommerce. In addition, supply chain analytics allow to simplify supply chain operations, increase efficiency, and help businesses to meet the future demand of customers. Moreover, the shortage of skilled experts, the high cost associated with deploying analytical solutions, and concerns related to data quality, integrity, and security hinder the adoption of supply chain analytics solutions. However, the ongoing technological advancements and growing penetration of startups to develop new supply chain analytics solutions are expected to boost the scope of the supply chain analytics market.
The increasing presence of eCommerce businesses across Europe and the Middle East has been expanding the supply chains in the regions, thus fostering the scope of supply-chain analytics solutions across the EMEA. Furthermore, the presence of some major players, ongoing technological advancements, and the launch of new supply-chain analytics solutions across North America have been expanding the applications of supply-chain analytics in the Americas. In addition, the U.S. government announced the supply chain disruptions task force in June 2021 to address short-term supply chain discontinuities to strengthen American supply chains to promote economic security, national security, and good-paying union jobs, increasing the scope for the supply chain analytics market across the Americas. The growing demand for supply-chain analytics from the automotive, pharmaceutical, and retail industries has been creating lucrative opportunities for supply-chain analytics across the Asia-Pacific region.
The market dynamics represent an ever-changing landscape of the Supply Chain Analytics Market by providing actionable insights into factors, including supply and demand levels. Accounting for these factors helps design strategies, make investments, and formulate developments to capitalize on future opportunities. In addition, these factors assist in avoiding potential pitfalls related to political, geographical, technical, social, and economic conditions, highlighting consumer behaviors and influencing manufacturing costs and purchasing decisions.
The market disruption analysis delves into the core elements associated with market-influencing changes, including breakthrough technological advancements that introduce novel features, integration capabilities, regulatory shifts that could drive or restrain market growth, and the emergence of innovative market players challenging traditional paradigms. This analysis facilitates a competitive advantage by preparing players in the Supply Chain Analytics Market to pre-emptively adapt to these market-influencing changes, enhances risk management by early identification of threats, informs calculated investment decisions, and drives innovation toward areas with the highest demand in the Supply Chain Analytics Market.
The porter's five forces analysis offers a simple and powerful tool for understanding, identifying, and analyzing the position, situation, and power of the businesses in the Supply Chain Analytics Market. This model is helpful for companies to understand the strength of their current competitive position and the position they are considering repositioning into. With a clear understanding of where power lies, businesses can take advantage of a situation of strength, improve weaknesses, and avoid taking wrong steps. The tool identifies whether new products, services, or companies have the potential to be profitable. In addition, it can be very informative when used to understand the balance of power in exceptional use cases.
The value chain of the Supply Chain Analytics Market encompasses all intermediate value addition activities, including raw materials used, product inception, and final delivery, aiding in identifying competitive advantages and improvement areas. Critical path analysis of the <> market identifies task sequences crucial for timely project completion, aiding resource allocation and bottleneck identification. Value chain and critical path analysis methods optimize efficiency, improve quality, enhance competitiveness, and increase profitability. Value chain analysis targets production inefficiencies, and critical path analysis ensures project timeliness. These analyses facilitate businesses in making informed decisions, responding to market demands swiftly, and achieving sustainable growth by optimizing operations and maximizing resource utilization.
The pricing analysis comprehensively evaluates how a product or service is priced within the Supply Chain Analytics Market. This evaluation encompasses various factors that impact the price of a product, including production costs, competition, demand, customer value perception, and changing margins. An essential aspect of this analysis is understanding price elasticity, which measures how sensitive the market for a product is to its price change. It provides insight into competitive pricing strategies, enabling businesses to position their products advantageously in the Supply Chain Analytics Market.
The technology analysis involves evaluating the current and emerging technologies relevant to a specific industry or market. This analysis includes breakthrough trends across the value chain that directly define the future course of long-term profitability and overall advancement in the Supply Chain Analytics Market.
The patent analysis involves evaluating patent filing trends, assessing patent ownership, analyzing the legal status and compliance, and collecting competitive intelligence from patents within the Supply Chain Analytics Market and its parent industry. Analyzing the ownership of patents, assessing their legal status, and interpreting the patents to gather insights into competitors' technology strategies assist businesses in strategizing and optimizing product positioning and investment decisions.
The trade analysis of the Supply Chain Analytics Market explores the complex interplay of import and export activities, emphasizing the critical role played by key trading nations. This analysis identifies geographical discrepancies in trade flows, offering a deep insight into regional disparities to identify geographic areas suitable for market expansion. A detailed analysis of the regulatory landscape focuses on tariffs, taxes, and customs procedures that significantly determine international trade flows. This analysis is crucial for understanding the overarching legal framework that businesses must navigate.
The regulatory framework analysis for the Supply Chain Analytics Market is essential for ensuring legal compliance, managing risks, shaping business strategies, fostering innovation, protecting consumers, accessing markets, maintaining reputation, and managing stakeholder relations. Regulatory frameworks shape business strategies and expansion initiatives, guiding informed decision-making processes. Furthermore, this analysis uncovers avenues for innovation within existing regulations or by advocating for regulatory changes to foster innovation.
The FPNV positioning matrix is essential in evaluating the market positioning of the vendors in the Supply Chain Analytics Market. This matrix offers a comprehensive assessment of vendors, examining critical metrics related to business strategy and product satisfaction. This in-depth assessment empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success, namely Forefront (F), Pathfinder (P), Niche (N), or Vital (V).
The market share analysis is a comprehensive tool that provides an insightful and in-depth assessment of the current state of vendors in the Supply Chain Analytics Market. By meticulously comparing and analyzing vendor contributions, companies are offered a greater understanding of their performance and the challenges they face when competing for market share. These contributions include overall revenue, customer base, and other vital metrics. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With these illustrative details, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Everstream Analytics Acquires BlueNode to Expand Intermodal Analytics Solutions for Global Supply Chain Execution
Everstream Analytics' acquisition of BlueNode aimed to expand their intermodal analytics solutions for global supply chain execution. The expansion provides businesses with access to advanced analytics, such as predictive analytics and real-time insights, that enable more informed decision-making in the transportation of goods. The acquisition also significantly expands the company's client base, providing additional market growth opportunities for Everstream Analytics. Furthermore, it boosts the company's ability to offer customers unprecedented levels of accuracy, speed, and convenience when shipping cargo. [Published On: 2023-04-26]
Everstream, which Applies Big Data to Supply Chain Management, Raises USD 50 Million
Everstream, a startup that leverages predictive analytics to optimize supply chain management, recently raised USD 50 million in funding. This investment highlights the industry's increasing demand for data-driven solutions that can maximize efficiency and minimize costs. The company provides tools that allow businesses to track inventory better, predict customer behavior, and compare different vendors to make the best decisions for their process optimization needs. With the new capital injection, Everstream plans to continue developing its technology and expand its reach into the global market. [Published On: 2023-04-04]
EY Announces Alliance with O9 Solutions to Help Modernize Supply Chain Operations through Business Planning and Analytics Solutions
EY, a global provider of assurance, tax, transaction, and advisory services, has announced an alliance with O9 Solutions to provide businesses with advanced analytics and business planning solutions for their supply chain operations. The collaboration will equip companies to understand supply chain dynamics better through increased visibility into integrated data sources and advanced analytics capabilities. This will allow them to identify potential risks and opportunities across their entire supply chain network to optimize operations. The partnership will also enable businesses to predict future demand more accurately and adjust based on current market conditions. [Published On: 2023-03-13]
The strategic analysis is essential for organizations seeking a solid foothold in the global marketplace. Companies are better positioned to make informed decisions that align with their long-term aspirations by thoroughly evaluating their current standing in the Supply Chain Analytics Market. This critical assessment involves a thorough analysis of the organization’s resources, capabilities, and overall performance to identify its core strengths and areas for improvement.
The report delves into recent significant developments in the Supply Chain Analytics Market, highlighting leading vendors and their innovative profiles. These include Accenture plc, American Software, Inc., Capgemini SE, Cloud Software Group, Inc., Cloudera, Inc., Domo, Inc., Ehrhardt + Partner Solutions DWC-LLC, Evertracker GmbH, Genpact Limited, Google LLC, Infopulse Group, Infor, International Business Machines Corporation, Kinaxis Inc., KPMG LLP, Mecalux, S.A., MicroStrategy Incorporated, Neubrain, LLC, Oracle Corporation, Project44, LLC, QlikTech International AB, Rosslyn Data Technologies PIc, SAP SE, SAS Institute Inc., Savi Technology, Shippeo SAS, Software AG, Solvoyo, and Voxware,Inc..
This research report categorizes the Supply Chain Analytics Market to forecast the revenues and analyze trends in each of the following sub-markets:
- Organization Size
- Large Enterprises
- Small & Medium Enterprises
- Component
- Services
- Deployment & Integration Services
- Managed Services
- Professional Services
- Support & Maintenance Services
- Software
- Demand Analysis & Forecasting
- Inventory Analytics
- Spend & Procurement Analytics
- Supplier Performance Analytics
- Transportation & Logistics Analytics
- Services
- Deployment
- On-Cloud
- On-Premises
- Industry
- Automotive & Transportation
- Energy & Utilities
- Food & Beverage Manufacturing
- Government
- Machinery & Industrial Equipment Manufacturing
- Pharmaceuticals
- Retail & Consumer Goods
- Region
- Americas
- Argentina
- Brazil
- Canada
- Mexico
- United States
- California
- Florida
- Illinois
- New York
- Ohio
- Pennsylvania
- Texas
- Asia-Pacific
- Australia
- China
- India
- Indonesia
- Japan
- Malaysia
- Philippines
- Singapore
- South Korea
- Taiwan
- Thailand
- Vietnam
- Europe, Middle East & Africa
- Denmark
- Egypt
- Finland
- France
- Germany
- Israel
- Italy
- Netherlands
- Nigeria
- Norway
- Poland
- Qatar
- Russia
- Saudi Arabia
- South Africa
- Spain
- Sweden
- Switzerland
- Turkey
- United Arab Emirates
- United Kingdom
- Americas
- Market Penetration: This section thoroughly overviews the current market landscape, incorporating detailed data from key industry players.
- Market Development: The report examines potential growth prospects in emerging markets and assesses expansion opportunities in mature segments.
- Market Diversification: This includes detailed information on recent product launches, untapped geographic regions, recent industry developments, and strategic investments.
- Competitive Assessment & Intelligence: An in-depth analysis of the competitive landscape is conducted, covering market share, strategic approaches, product range, certifications, regulatory approvals, patent analysis, technology developments, and advancements in the manufacturing capabilities of leading market players.
- Product Development & Innovation: This section offers insights into upcoming technologies, research and development efforts, and notable advancements in product innovation.
- What is the current market size and projected growth?
- Which products, segments, applications, and regions offer promising investment opportunities?
- What are the prevailing technology trends and regulatory frameworks?
- What is the market share and positioning of the leading vendors?
- What revenue sources and strategic opportunities do vendors in the market consider when deciding to enter or exit?
- Preface
- Research Methodology
- Executive Summary
- Market Overview
- Market Insights
- Supply Chain Analytics Market, by Organization Size
- Supply Chain Analytics Market, by Component
- Supply Chain Analytics Market, by Deployment
- Supply Chain Analytics Market, by Industry
- Americas Supply Chain Analytics Market
- Asia-Pacific Supply Chain Analytics Market
- Europe, Middle East & Africa Supply Chain Analytics Market
- Competitive Landscape
- Competitive Portfolio
- List of Figures [Total: 24]
- List of Tables [Total: 564]
- List of Companies Mentioned [Total: 29]
Improved Inventory Management:
The eCommerce sector can suffer immensely due to poor inventory management. One issue being that the stock levels fluctuate frequently as demand for the products changes. By using Supply Chain Analytics, retailers can weigh the demand against supply, and stock up accordingly, thereby reducing the need for extra space and inventory holding costs. Furthermore, Supply Chain Analytics can forecast the future demand for an item based on sales trends, taking previous data into consideration, and reduce the likelihood of stocking out that item.
Improved Demand Forecasting:
Supply Chain Analytics can help retailers track and understand product demand patterns, which will significantly optimize the supply chain. eCommerce companies can use supply chain analytics to get insights into correlations between various products based on factors like demographics, sales funnel, and trends. That data allows retailers to better understand when certain products will be in demand and anticipate their needs. By accurate forecasting, companies can plan inventory, reduce waste, decrease order lead time, and, in turn, improve client satisfaction.
Efficient Shipping and Logistics:
Efficient delivery of the product is paramount to the success of an eCommerce business, and Supply Chain Analytics can help businesses address this problem. Real-time, data-driven insights, supply chain analytics tools, and technological advancements can bring down shipping and return costs. SCA helps pinpoint areas of inefficiency in the supply chain and assists retailers in identifying and minimizing them. Cutting down the delays and other bottlenecks in the supply chain leads to timely deliveries and quickly getting the product to customers' doorsteps, thereby increasing customer satisfaction.
Better Supplier Relationship Management:
Supply Chain Analytics uses data to track all the components of the supply chain, which includes supplier management. Using this management tool, retailers can track and measure the performance of different vendors and potentially identify pain points within that relationship. SCA data like previous performance, supplier operations, scheduling, lead times, and quality standards can help retailers in better management of the vendors. This insight could quickly decrease the time needed to resolve any delivery issues with vendors, enabling retailers to manage relationships better, improve the products' quality and ensure it remains within contact parameters.
Optimize Operations with AI-Driven Analytics:
The introduction of AI-driven supply chain analytics has improved the eCommerce sector's efficiency. Using AI, SCA can provide predictive analytics and identify potential disruptions in the supply chain, detect recurring patterns, and recommend solutions that improve operations. AI helps mitigate any risk, has predictions using the IoT devices/predictive modeling forecasting algorithms to determine where it may be best to store inventory, cost reductions to optimize shipping routes and areas, and provides real-time tracking.
Supply Chain Analytics is continuously proving to be the future of the eCommerce industry. The reduction in supply chain inefficiencies helps streamline operations and improve businesses' profitability; it saves businesses more time and, cost-wise, prevents them from overspending, hence keeping businesses competitive. The implementation of supply chain analytics provides eCommerce businesses with predictive and prescriptive insights that enhance the supply chain's overall performance. It's high time that eCommerce sector businesses revolutionize their supply chain operations by implementing Supply Chain Analytics to provide the best customer experience and streamline their supply chain.
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