The market dynamics of the Supply Chain Analytics market are undergoing significant transformations, driven by the growing importance of data-driven decision-making in the realm of supply chain management. Supply Chain Analytics refers to the use of advanced analytical tools and techniques to extract actionable insights from the vast amounts of data generated throughout the supply chain process. As businesses increasingly recognize the pivotal role of data in optimizing operations, reducing costs, and enhancing overall efficiency, the demand for Supply Chain Analytics solutions is experiencing a substantial upswing.
One of the key drivers shaping the market dynamics is the rising complexity of global supply chains. As businesses expand their operations across borders, the intricacies of managing diverse suppliers, transportation networks, and inventory levels become more pronounced. Supply Chain Analytics provides a holistic view of the entire supply chain, enabling organizations to identify bottlenecks, forecast demand more accurately, and streamline operations. This capability is particularly crucial in mitigating risks associated with supply chain disruptions, such as those caused by geopolitical events or natural disasters.
Moreover, the increasing adoption of technologies like the Internet of Things (IoT) and Artificial Intelligence (AI) is propelling the growth of the Supply Chain Analytics market. These technologies facilitate the collection of real-time data from various sources within the supply chain, offering unparalleled visibility and insights. IoT sensors on goods in transit, for instance, can provide valuable information on location, temperature, and other environmental factors. AI algorithms can then analyze this data to optimize routes, predict maintenance needs, and enhance overall supply chain efficiency.
The market dynamics are also influenced by the rising emphasis on sustainability in supply chain management. As businesses recognize the importance of environmental and social responsibility, they are leveraging Supply Chain Analytics to assess and improve the sustainability of their operations. Analytics tools enable organizations to track and measure their carbon footprint, identify areas for improvement, and make informed decisions to align with sustainability goals. This trend is not only driven by ethical considerations but also by the growing awareness that sustainable practices can contribute to cost savings and enhanced brand reputation.
Furthermore, the competitive landscape of the Supply Chain Analytics market is witnessing a surge in partnerships and collaborations. With an increasing number of solution providers entering the market, companies are forming strategic alliances to enhance their capabilities and offer comprehensive solutions. These partnerships often involve the integration of Supply Chain Analytics platforms with other technologies, such as Enterprise Resource Planning (ERP) systems or cloud-based solutions. Such collaborations enable businesses to create end-to-end visibility and seamless connectivity across the entire supply chain ecosystem.
However, challenges exist within the market dynamics, including concerns related to data security and privacy. As organizations rely on vast amounts of sensitive data for analytics, ensuring the confidentiality and integrity of this information becomes paramount. Additionally, there is a need for skilled professionals who can interpret and act upon the insights generated by Supply Chain Analytics tools. Addressing these challenges is crucial for sustained growth in the market and the realization of the full potential of supply chain optimization.
In conclusion, the market dynamics of the Supply Chain Analytics market are characterized by a confluence of factors, including the increasing complexity of global supply chains, technological advancements, a focus on sustainability, and collaborative efforts among industry players. As businesses strive to gain a competitive edge through data-driven decision-making, the demand for advanced analytics solutions in supply chain management is expected to continue its upward trajectory, shaping the future landscape of the market.
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Segment Outlook | Component, Deployment Models, Industry Verticals, and Region |
Supply Chain Analytics Market is projected to grow from USD 5.48 Billion in 2024 to USD 16.7 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 14.93% during the forecast period (2024 - 2032). Additionally, the market size for Supply Chain Analytics was valued at USD 4.68 billion in 2023.
Supporting initiatives by Transportation & Logistics for Big Data projects and increase in adoption of big data technologies are the key market drivers enhancing the market growth.
Figure 1: Supply Chain Analytics Market Size, 2024-2032 (USD Billion)
Source: Secondary Research, Primary Research, MRFR Database and Analyst Review
Supply Chain Analytics refers to the use of data analysis techniques and tools to extract valuable insights from supply chain data, which can help companies optimize their supply chain operations and enhance their overall performance. With the increasing volume, variety, and velocity of data generated by supply chain processes, traditional methods of data analysis are no longer sufficient. This is where Big Data technologies, such as Hadoop, Spark, and NoSQL databases, come into play. These technologies are designed to handle large volumes of structured and unstructured data, enabling companies to process and analyze vast amounts of supply chain data in real-time.
The Supply Chain Analytics market is expected to grow significantly in the coming years as more companies recognize the value of data-driven supply chain decision-making and invest in analytics solutions to support their operations. For instance, in Nov. 2022, AWS launched its supply chain service. By improving supply chain visibility, companies can make quicker, more informed decisions that lower risks, save money, and improve customer experiences. Data from several supply chain systems is seamlessly integrated and analyzed using AWS Supply Chain.
This enables companies to keep an eye on their operations in real time, spot patterns more quickly, and forecast demand more precisely, ensuring there is adequate inventory to meet customer expectations. Also, in Sept. 2022, A renowned supply chain consulting and technology provider with a focus on smart logistics and warehouse management, MacGregor Partner, has been acquired by Accenture. It is a supply chain consultant, technology provider, and intelligent logistics and warehouse management company. Due to the acquisition, Accenture's supply chain network, powered by Blue Yonder technology, has expanded.
However, SCA helps organizations in gaining a broader awareness of supply chain operations, enabling them to efficiently address any issues that can affect the viability or sustainability of the company. Mobile-based solutions help organizations in tracking issues including inaccurate projections, excessive warehousing costs, and inefficient supplier networks. The analysis of corporate operations using analytics tools is also essential to improving inventory management and therefore lowering associated costs that might hinder business expansion. A recent rise in the adoption of mobile-based solutions is anticipated to open up new opportunities for industrial expansion.
Unethical activities and a growing number of cyber threats could cause concerns among companies and might hinder the adoption of SCA solutions to some degree. With the promising future of integrating technology into supply chain processes, industry leaders remain to be concerned about potential security and data breaches. These worries could be detrimental to future progress. SCA solution suppliers have been working hard to reduce the impact of these breaches, though, by promoting secure technologies.
The Supply Chain Analytics Market segmentation, based on component includes Software, and Services. In terms of market size, the software sector is expected to dominate supply chain analytics. This is due to benefits of supply chain analytics software, including decreased inventory costs through intelligent demand sensing, enhanced responsive transport logistics, facilitation of new sales & operations execution (S&OE) processes, workplan optimization, and more. Due to the need for analyzing & controlling data in inventory levels during peaks and troughs, the demand analytics and forecasting sector is expected to lead the market throughout the forecast period.
For instance, in May 2021, Software AG increased the scope of its partnership with SAP by enabling the implementation of TrendMiner analytics software on the S/4HANA Cloud.
The Supply Chain Analytics Market segmentation, based on deployment models, includes on-premises, cloud. In 2022, the cloud sector showed the highest share of the market of more than 60% based on deployment type. The widespread use of IoT devices as a result of technological dispersion has increased OEM customers' dependence on cloud-based systems. The use of the cloud by organizations promotes flexibility and enables extensive product and service customization. Due to their advantages in data safety and risk analysis, the sector is primarily using big data analytics solutions. Supply chain analytics solutions are being actively deployed on cloud-based platforms as a result of enhanced portability and the ease of using cloud services.
Figure 2: Supply Chain Analytics Market, by Deployment Mode ls, 2022 & 2032 (USD billion)
Source: Secondary Research, Primary Research, MRFR Database and Analyst Review
The Supply Chain Analytics Market segmentation, based on industry verticals, includes Automotive, Retail and consumer goods, manufacturing, Machinery and industrial equipment manufacturing, Pharmaceuticals, Government, Energy and utilities. The manufacturing sector had the largest market share, with over 20%. Solutions for supply chain analytics may help in performance improvement as they give users access to real-time data from all points along the value chain and instantly update any region or process across the organization as a whole. Moreover, there is a growing need for supply chain efficiency improvements due to rising client demand, as well as the need to ensure product availability and prompt delivery. This is anticipated to fuel the manufacturing segment's growth during the projection period.
For instance, in 2020, IBM launched its Sterling Supply Chain Suite, which is designed to help manufacturers optimize their supply chain operations. The Sterling Supply Chain Suite provides real-time visibility into the supply chain, enabling manufacturers to make informed decisions and improve their overall efficiency.
By Region, the study provides the market insights into North America, Europe, Asia-Pacific and Rest of the World. In 2022, North America held a share of more than 35% of the global market, dominating it. Industrial organizations in North America are focusing more on the visual display of operational data as a result of the complexity of corporate processes. This enables companies to make better strategic decisions by quickly evaluating the data-driven state of their supply chain.
Further, the major countries studied in the market report are The U.S., Canada, German, France, the UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil.
Figure 3: SUPPLY CHAIN ANALYTICS MARKET SHARE BY REGION 2022 (%)
Source: Secondary Research, Primary Research, MRFR Database and Analyst Review
Europe supply chain analytics market accounts for the second-largest market share due to the presence of key players and cohesive government initiative. Further, the German supply chain analytics market held the largest market share, and the UK supply chain analytics market was the fastest growing market in the European region
The Asia-Pacific Supply Chain Analytics Market is expected to grow at the fastest CAGR from 2023 to 2032. The rise might be attributed to organizations getting more aware of the advantages of analytics solutions. The expansion of the regional supply chain analytics market may also be influenced by the steadily rising number of small and medium-sized businesses (SMBs) and their rising spending on the deployment of cutting-edge technology to expand their businesses. Moreover, China’s supply chain analytics market held the largest market share, and the Indian supply chain analytics market was the fastest growing market in the Asia-Pacific region.
Leading market players are investing heavily in research and development in order to expand their product lines, which will help the supply chain analytics market, grow even more. Market participants are also undertaking a variety of strategic activities to expand their global footprint, with important market developments including new product launches, contractual agreements, mergers and acquisitions, higher investments, and collaboration with other organizations. To expand and survive in a more competitive and rising market climate, supply chain analytics industry must offer cost-effective items.
Log term and short-term contract between market players and products development is one of the key business tactics used by manufacturers in the global supply chain analytics industry to benefit clients and increase the market sector. In recent years, the supply chain analytics industry has offered some of the most significant advantages. Major players in the supply chain analytics market, including, IBM Corporation, MicroStrategy, Inc., Oracle Corporation, Accenture PLC, and others, are attempting to increase market demand by investing in research and development operations.
IBM Corporation, also known as International Business Machines Corporation, is an American multinational technology company that operates in more than 170 countries around the world. It was founded in 1911 as the Computing-Tabulating-Recording Company (CTR) and was renamed "International Business Machines" in 1924. IBM is headquartered in Armonk, New York. The company is primarily known for its hardware, software, and services offerings, including mainframe computers, personal computers, server and storage systems, software development tools, cloud computing services, artificial intelligence (AI) and machine learning (ML) technologies, and consulting services. The company has been at the forefront of the tech industry for decades, making important contributions to the development of computers, data storage, and information technology. The company has a workforce of approximately 380,000 employees. For instance, in Nov. 2022, IBM launched IBM Business Analytics Enterprise to help companies quickly make data-driven decisions and handle unforeseen challenges.
IBM Corporation, also known as International Business Machines Corporation, is an American multinational technology company that operates in more than 170 countries around the world. It was founded in 1911 as the Computing-Tabulating-Recording Company (CTR) and was renamed "International Business Machines" in 1924. IBM is headquartered in Armonk, New York. The company is primarily known for its hardware, software, and services offerings, including mainframe computers, personal computers, server and storage systems, software development tools, cloud computing services, artificial intelligence (AI) and machine learning (ML) technologies, and consulting services.
The company has been at the forefront of the tech industry for decades, making important contributions to the development of computers, data storage, and information technology. The company has a workforce of approximately 380,000 employees. For instance, in Sept. 2022, Accenture revealed acquired MacGregor Partner specialises in intelligent logistics and management of warehouses and is a top supply chain consultancy and technology supplier. It is an expert in supply chain consulting, intelligent logistics, warehouse management, and technology. The acquisition results in an expansion of Accenture's supply chain network, which is powered by Blue Yonder technology.
MicroStrategy, Inc.
Tableau Software, Inc.
SAP SE
Genpact
SAS Institute Inc.
Manhattan Associates Inc.
JDA Software Group, Inc.
For instance, in June 2023, the Jaguar Land Rover automobile company collaborated with Everstream Analytics, a supply chain solution provider. This embedded AI into JLR’s supply chain management and enabled JLR to monitor its supply chain in real time and avoid any issues relating to supplies.
In May 2023, during the Gartner Supply Chain Symposium 2023, Everstream Analytics announced the launch of Everstream Connect. It is a new platform for end-to-end supply chain risk management that works with and connects to the intelligence mapping and visibility of logistics network flow.
In April 2023, Project 44, which operates in the field of supply chain visibility platforms, announced the launch of GPT. It was an example of new AI technology for this tech company that put generative AI power into industry hands.
In April 2023, the National Institute of Industrial Engineering (NITIE) entered into a collaboration with TimePRO to launch their post-graduation executive program on digital supply chain management. It will help professionals build digitally enabled supply chains.
For instance, in May 2023, Aqua Security, an eBPF Technology-powered pioneer in cloud-native security, unveiled pipeline integrity scanning, preventing software supply chain attacks and assuring CI/CD pipeline integrity.
For instance, in April 2023, Accenture PLC completed the acquisition of EINR AS, which is a logistics solution provider. This would enable Accenture to improve SAP capabilities as well as accelerate reinvention on the consumer electronics and retail industries’ side of the business through improved speed up of their respective supply chains.
For instance, in April 2023, Snowflake launched Manufacturing Data Cloud for automotive, technology; & industrial sector companies are examples. The Manufacturing Data Cloud facilitates partnerships between manufacturers and suppliers or buyers while facilitating better performance across all organizations involved thereby accelerating smart manufacturing initiatives internally among them.
In March 2023, EY partnered with o9 Solutions to offer customers big data-driven solutions using machine learning and AI in supply chain planning.
North America
Europe
Asia-Pacific
Rest of the World
Middle East
Africa
Latin America
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