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Supply Chain Analytics Market By Deployment Model (On-premise, & Cloud-based), Service (Professional Services, & Managed Services), Application (Healthcare And Life Sciences, & Manufacturing), Component (Sales & Operation Planning, Manufacturing Analytics), & Region for 2024-2031


Published on: 2024-08-02 | No of Pages : 320 | Industry : latest updates trending Report

Publisher : MIR | Format : PDF&Excel

Supply Chain Analytics Market By Deployment Model (On-premise, & Cloud-based), Service (Professional Services, & Managed Services), Application (Healthcare And Life Sciences, & Manufacturing), Component (Sales & Operation Planning, Manufacturing Analytics), & Region for 2024-2031

Supply Chain Analytics Market Valuation – 2024-2031

The supply chain analytics market is enjoying a surge of popularity. It is likely to increase significantly in the future years as more firms realize the importance of data-driven supply chain decision-making and invest in analytics solutions to support their operations. The market size surpass USD 6.95 Billion valued in 2024 to reach a valuation of around USD 25.1 Billion by 2031.

Businesses that increase supply chain visibility may make faster, more informed decisions that reduce risks, save money, and improve customer experiences. Data from several supply chain systems is effortlessly linked and analyzed using AWS Supply Chain. This allows businesses to monitor their operations in real time, identify patterns faster, and estimate demand more accurately, ensuring there is enough inventory to fulfill client expectations. The rising demand for Supply chain Analytics is enabling the market grow at a CAGR of 19.20% from 2024 to 2031.

Supply Chain Analytics MarketDefinition/ Overview

Supply Chain Analytics is the application of data analytic techniques and technologies to derive important insights from supply chain data, allowing businesses to optimize their supply chain operations and improve their overall performance. With the growing volume, diversity, and velocity of data generated by supply chain processes, traditional data analysis approaches are no longer adequate. Here’s where Big Data technologies like Hadoop, Spark, and NoSQL databases come into play. These technologies are intended to handle big volumes of structured and unstructured data, allowing businesses to process and analyze massive amounts of supply chain data in real time.

It aids in the efficient movement of information, raw materials, processed products, and resources across and within the network of upstream and downstream businesses. The supply chain is a network that facilitates the flow of products, financial deliverables, customer services, and information, materials, and resources. Supply chain management refers to the management of many relationships in an organization’s supply chain.

Some elements, such as product launch success, customer happiness, and organizational growth, are dependent on an organization’s supply chain management being executed successfully. Supply chain analytics can be classified as descriptive, predictive, prescriptive, or cognitive. Descriptive analytics delivers visibility and truth across the supply chain for both internal and external systems and data sources. Predictive analytics enables firms to better comprehend business outcomes and future possibilities. Prescriptive analytics helps firms solve challenges and maximize commercial value, whereas cognitive analytics assists enterprises in answering complicated queries.

The Supply Chain Analytics Market is driven by the growing popularity of IoT devices in different sectors such as automobile manufacturing, and healthcare, which has resulted in the collection of massive data, and enterprises are using such solutions in their supply chain. Internet connectivity and smartphone usage around the world have been expanding at a rapid pace, leading to the expansion of E-commerce and driving the analytics market.

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Will the Rising Adoption of Big Data Technology Propel the Supply Chain Analytics Market?

the supply chain analytics market greatly, the increased adoption of big data technology is expected to boost the industry. Big data’s capacity to manage massive amounts of data from diverse sources enables organizations to acquire comprehensive insights into their supply chains. Companies that use big data analytics can improve their decision-making processes, forecast market trends, and optimize their operations. For example, real-time data analysis can aid in the identification of bottlenecks, more accurate demand forecasts, and more effective inventory management. As supply chains become more complicated and worldwide, the need for advanced data analytics tools develops, making big data technology an invaluable asset in this industry.

Big data technology allows superior predictive analytics and machine learning skills, which are critical in modern supply chain management. Predictive analytics can predict future disruptions, such as weather-related delays or geopolitical crises, allowing businesses to reduce risks ahead of time. Machine learning algorithms can evaluate past data to detect patterns and anomalies, offering more detailed information about supplier performance, transportation logistics, and customer demand. This proactive strategy not only improves efficiency but also lowers expenses and increases customer satisfaction. The combination of big data and supply chain analytics results in a more agile, responsive, and resilient supply chain network.

Advances in cloud computing and the Internet of Things (IoT) are making it easier to integrate big data technology in supply chain analytics. Cloud systems provide scalable and flexible data storage and processing capabilities, allowing businesses to implement big data solutions without requiring major upfront infrastructure investments. IoT devices, on the other hand, produce a steady stream of real-time data from numerous points along the supply chain, including warehouses, transportation fleets, and retail locations. This continual flow of data, when evaluated, provides granular visibility into the supply chain, allowing businesses to respond quickly to changes and make informed decisions.

Will the Rising Cyber Threat Hinder the Demand for the Supply Chain Analytics Market?

The supply chain analytics market, the increasing cyber threat presents a huge risk to potentially reducing demand. As supply chain analytics grows more reliant on large amounts of sensitive data, such as private corporate information and consumer information, it becomes a tempting target for cybercriminals. Data breaches and cyberattacks can cause major financial losses, reputational damage, and operational interruptions. As a result of worries about data security and privacy, businesses may be less likely to employ advanced analytics tools. Fear of cyber threats may impede firms’ adoption of supply chain analytics, leading them to choose more secure but less advanced systems.

This concern also highlights the necessity for stronger cybersecurity measures in the supply chain analytics sector. As businesses grasp the importance of advanced analytics, they are more likely to invest in complete cybersecurity solutions to safeguard their data and preserve confidence. This involves using encryption, secure cloud services, and continual monitoring to protect against any attacks. While cyber dangers may initially limit demand, the development of more secure analytics platforms might alleviate these worries.

As a result, while the industry may see a temporary downturn, long-term demand for supply chain analytics is expected to remain strong as organizations adjust to the changing cybersecurity scenario and seek the efficiency and insights given by these advanced solutions.

Category-Wise Acumens

Will the Scalability and Flexibility of the Cloud Based Category of Deployment Drive the Supply Chain Analytics Market?

Supply chain analytics market, the scalability and flexibility of cloud-based deployment are key drivers for this section. Cloud-based solutions provide exceptional scalability, allowing businesses to easily extend their data storage and processing capacities in response to their growth and changing needs.

This scalability is especially useful for businesses with complicated, dynamic supply chains that require strong analytics to manage enormous amounts of data efficiently. Cloud-based analytics enables firms to grow their operations without requiring significant capital investment in physical infrastructure, making it a cost-effective alternative for both major enterprises and small-to-medium-sized businesses.

Flexibility is another important element that makes cloud-based deployment interesting for supply chain analytics. Cloud solutions allow businesses to access and analyze data in real time from anywhere, which is critical for preserving the agility and responsiveness necessary in modern supply chains. This flexibility enables greater collaboration and communication across departments and locations, resulting in more coordinated and informed decision-making processes.

Furthermore, cloud-based platforms are frequently automatically updated with the most recent features and security measures, allowing businesses to exploit cutting-edge technology while maintaining strong data protection without substantial downtime or manual involvement. Cloud-based solutions’ constant improvement and adaptability boost their adoption even further, consolidating their presence in the supply chain analytics industry.

Will the Professional Service Drive Significant Demand for the Supply Chain Analytics Market?

Professional services are expected to produce significant demand in the supply chain analytics market. These services, which include advice, implementation, training, and support, are critical for firms that want to efficiently integrate and exploit sophisticated analytics tools in their supply chains.

As supply chain operations become more complicated and data-driven, professional services’ expertise becomes increasingly valuable. Consultants can assist businesses in designing and implementing custom analytics systems that are suited to their specific needs and objectives. This ensures that firms can fully leverage supply chain data to optimize operations, cut costs, and increase efficiency.

Professional services play an important role in solving the skills gap that many firms confront while implementing new technology. Training and support services provide internal teams with the information and skills they need to effectively use analytics technologies, building a culture of data-driven decision-making. This continued assistance is especially critical as supply chain technology and processes evolve, allowing businesses to continually adapt and strengthen their analytics capabilities. The demand for professional services is exacerbated by the requirement for regular maintenance and updates, which are crucial for the performance and security of analytics systems. As a result, professional services not only help with the initial adoption of supply chain analytics but also secure their long-term and successful use, fueling major market demand.

Gain Access into Supply Chain Analytics Market Report Methodology

Country/Region-wise Acumens

How will Supply Chain Analytics Accelerate the Growth in the North America Market?

Supply chain analytics is expected to accelerate growth in the North American market by improving operational efficiency and fostering industry-wide innovation. North American businesses are increasingly relying on sophisticated analytics to obtain deeper insights into their supply chain processes, allowing them to make data-driven decisions that improve performance. Businesses can use predictive analytics to forecast demand, manage inventory, and streamline logistics, lowering costs and boosting service levels. This efficiency advantage is especially important in a competitive market, where margins might be narrow, and the capacity to respond quickly to market changes is a crucial differentiation.

Supply chain analytics supports innovation by allowing for the integration of new technologies such as artificial intelligence (AI), machine learning, and the Internet of Things (IoT). These technologies give real-time data and powerful analytics skills to help businesses anticipate disruptions, improve supply chain visibility, and manage risk. In North America, where the corporate climate is very dynamic and consumer expectations are always changing, innovation and adaptability are critical.

Adopting supply chain analytics enables businesses to not only keep up with these developments but also set new industry norms, thereby promoting regional growth and competitiveness. Furthermore, the robust technological infrastructure and high levels of investment in North America contribute to the rapid application and advancement of supply chain analytics solutions, accelerating market growth.

How will the Supply Chain Analytics Market Propel the Growth of Europe Region?

Europe’s strong industrial base and innovative manufacturing sector drive a high need for sophisticated supply chain solutions. European organizations, recognized for their emphasis on precision and efficiency, are increasingly using supply chain analytics to optimize operations, minimize waste, and boost productivity. This adoption is motivated by the desire to remain competitive in a global market where efficiency and cost-effectiveness are critical.

The regulatory environment in Europe, as well as its dedication to sustainability, are encouraging businesses to embrace more open and efficient supply chain procedures. Supply chain analytics gives the capabilities required to monitor compliance with severe requirements, track product origin and movement, and ensure sustainable practices throughout the supply chain. This competence is especially crucial in Europe, where there is significant consumer and government pressure for ethical and ecologically responsible company practices. The capacity to use analytics for compliance and sustainability gives European businesses a substantial edge, accelerating the adoption of these technologies.

The high degree of technical innovation and investment in Europe fosters the expansion of the supply chain analytics market. European businesses are in the forefront of incorporating modern technologies like artificial intelligence (AI), machine learning, and the Internet of Things (IoT) into their supply chain systems. This integration improves the capabilities of supply chain analytics by delivering real-time insights and predictive capabilities, which are critical for making informed decisions. With strong support from both the commercial and governmental sectors for technical innovation and digital transformation, Europe is well positioned to maintain its dominance in the supply chain analytics market, securing the greatest market share.

Competitive Landscape

The supply chain analytics market is a dynamic and competitive space, characterized by a diverse range of players vying for market share. These players are on the run for solidifying their presence through the adoption of strategic plans such as collaborations, mergers, acquisitions, and political support.

The organizations are focusing on innovating their product line to serve the vast population in diverse regions. Some of the prominent players operating in the market include

  • Fujifilm
  • Nikon
  • Go-Pro
  • Kodak
  • Canon
  • Sony
  • Honeywell International
  • Robert Bosch GmbH
  • Continental AG
  • Magna Corporation
  • Intel Corporation
  • Panasonic
  • FLIR Systems
  • Olympus Source

Latest Developments

  • In May 2023, Everstream Analytics, a firm that specializes in global supply chain insights and risk insights, announced the introduction of Everstream Connect at the Gartner Supply Chain Symposium. The new platform integrates with the end-to-end supply chain risk management platform, providing intelligent mapping and visibility into the logistics network flow.
  • In April 2023, Project 44, a business that specializes in supply chain visibility platforms, announced the debut of GPT, a revolutionary new AI technology that puts the power of generative AI in the hands of the industry.
  • In April 2023, the National Institute of Industrial Engineering (NITIE) announced a collaboration with TimePRO to create a post-graduate executive degree in digital supply chain management. It will assist the professional in developing a digitally enabled supply chain network.
  • In May 2023, Aqua Security, a pioneer in cloud-native security, unveiled pipeline integrity scanning and prevention of software supply chain assaults, as well as CI/CD pipeline integrity.
  • In September 2021, The Aftermarket, a provider of Supply Chain Optimization (SCO) platforms, joined with Gurobi Optimization LLC. The goal of this partnership is to develop robust and adaptable supply chain optimization technologies.

Report Scope

REPORT ATTRIBUTESDETAILS
Study Period

2021-2031

Growth Rate

CAGR of ~19.20% from 2024 to 2031

Base Year for Valuation

2024

Historical Period

2021-2023

Forecast Period

2024-2031

Quantitative Units

Value in USD Billion

Report Coverage

Historical and Forecast Revenue Forecast, Historical and Forecast Volume, Growth Factors, Trends, Competitive Landscape, Key Players, Segmentation Analysis

Segments Covered
  • Deployment Model
  • Service
  • Application
  • Component
Regions Covered
  • North America
  • Europe
  • Asia Pacific
  • Latin America
  • Middle East & Africa
Key Players

Aera Technology, Birst, Inc., Capgemini SA, Genpact Limited, International Business Machines Corporation, JDA Software Group, Inc., Kinaxis, Lockheed Martin Corporation, Maersk Group, Manhattan Associates, Inc.

Customization

Report customization along with purchase available upon request

Supply Chain Analytics Market, By Category

Deployment Model

  • On-premise
  • Cloud-based

Service

  • Managed Services
  • Professional Services

Application

  • Healthcare and life sciences
  • Manufacturing
  • Automotive
  • Retail and Consumer Packaged Goods
  • High Technology Products
  • Aerospace and Defense

Component

  • Sales & Operation Planning
  • Manufacturing Analytics
  • Transportation & Logistics

Region

  • North America
  • Europe
  • Asia-Pacific
  • South America
  • Middle East & Africa

Research Methodology of Market Research

To know more about the Research Methodology and other aspects of the research study, kindly get in touch with our .

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• Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market• 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 of various perspectives through Porter’s five forces analysis• Provides insight into the market through Value Chain• Market dynamics scenario, along with growth opportunities of the market in the years to come• 6-month post-sales analyst support

Customization of the Report

• In case of any

Table of Content

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To get a detailed Table of content/ Table of Figures/ Methodology Please contact our sales person at ( chris@marketinsightsresearch.com )