Global Cognitive Supply Chain Market Size, Share & Industry Trends Analysis Report By Deployment Type, By Technology, By Enterprise Size (Large Enterprises, Small & Medium-sized Enterprises), By Vertical, By Regional Outlook and Forecast, 2023 - 2030

Global Cognitive Supply Chain Market Size, Share & Industry Trends Analysis Report By Deployment Type, By Technology, By Enterprise Size (Large Enterprises, Small & Medium-sized Enterprises), By Vertical, By Regional Outlook and Forecast, 2023 - 2030

The Global Cognitive Supply Chain Market size is expected to reach $20.7 billion by 2030, rising at a market growth of 14.8% CAGR during the forecast period.

Internet of Things (IoT) technology aids companies massively in improving supply chain visibility. Therefore, the Internet of Things (IoT) segment registered $3,083.1 million revenue in the market in 2022. The integration of Internet of Things (IoT) technology into the market has revolutionized the way businesses manage their operations. IoT devices, such as sensors and RFID tags, enable real-time tracking and monitoring of goods, assets, and equipment throughout the supply chain, providing unprecedented visibility and data insights. This influx of data is harnessed by cognitive technologies like artificial intelligence and machine learning, which analyze and predict supply chain patterns, demand fluctuations, and potential disruptions. Some of the factors affecting the market are advancements in artificial intelligence and machine learning, cost reduction and efficiency improvements and challenges associated with data privacy and security.

AI and ML can process and analyze massive amounts of data at speeds and complexity levels beyond human capacity. In the supply chain, this translates into the ability to extract valuable insights from vast datasets, including historical data, real-time sensor data, market trends, and external factors. Machine learning algorithms have improved demand forecasting accuracy significantly. These algorithms can provide more precise predictions of future demand by analyzing historical data and considering multiple variables, such as seasonality and market trends. AI-driven algorithms can optimize various aspects of the supply chain, including routing, transportation, inventory management, and production scheduling. This optimization leads to cost savings, increased efficiency, and improved overall supply chain performance. Additionally, these solutions powered by AI and data analytics enable companies to maintain optimal inventory levels. This minimizes excess inventory carrying costs while ensuring products are readily available, reducing working capital tied up in inventory. Accurate demand forecasting is critical for efficient supply chain operations. This automation reduces procurement cycle times, minimizes manual errors, and lowers administrative costs. Cost reduction and operational efficiency remain crucial for organizations adopting cognitive supply chain technologies. These technologies provide the tools and insights necessary to optimize supply chain procedures, reduce waste, and enhance overall profitability, making them a strategic imperative for many businesses, which can lead to market growth.

However, Data privacy and security are substantial challenges in the market. Compliance with data protection regulations, like the General Data Protection Regulation (GDPR) in Europe or the California Consumer Privacy Act (CCPA) in the United States, can be complex. Cognitive supply chain solutions often involve processing personal and sensitive data, and companies must ensure they handle this data in compliance with applicable laws. Cyberattacks on supply chain partners can have cascading effects on the entire supply chain. Companies must monitor and secure their supply chain ecosystem against such attacks. These challenges can hinder the adoption and effective implementation of the market.

Deployment Type Outlook

On the basis of deployment type, the market is segmented into cloud and on-premise. The cloud segment acquired a substantial revenue share in the market in 2022. One of the primary reasons cloud deployment's rising popularity in the market is its scalability. Cloud-based solutions allow businesses to adjust their resources based on demand fluctuations and evolving business needs. As supply chain operations often vary seasonally or due to changes in market conditions, the cloud provides a dynamic infrastructure that can efficiently handle varying workloads without significant reconfiguration. Cost-effectiveness is another compelling advantage of the cloud deployment segment.

Technology Outlook

By technology, the market is categorised into internet of things (IoT), machine learning, and others. The machine learning (ML) segment recorded a remarkable revenue share in the cognitive supply chain in 2022. ML automation enables businesses to consolidate and optimize their supply chain processes, lower operational costs, enhance efficiency, and make data-driven decisions in this market segment. ML-driven solutions can help businesses gain a competitive advantage by automating repetitive duties, analyzing vast amounts of data, and identifying patterns and insights. Several factors have contributed to the expansion of ML automation on the market. First, AI and ML adoption is increasing as businesses recognize these technologies' potential supply chain management benefits.

Enterprise Size Outlook

Based on enterprise size, the market is fragmented into small & medium-sized enterprises and large enterprises. The SMEs segment garnered a significant revenue share in the market in 2022. Cost-effectiveness is a major contributor to the growth of the SME segment of the market. Now, SMEs have access to cognitive supply chain platforms in the cloud that require a lower initial investment than conventional on-premise solutions, making them more affordable for smaller budgets. This decreased financial barrier has allowed small and medium-sized enterprises to adopt innovative technologies and acquire a competitive edge in their respective industries. In addition, the scalability of cognitive supply chain solutions has been an essential factor in their adoption by SMEs.

Vertical Outlook

On the basis of vertical, the market is classified into manufacturing, retail & e-commerce, logistics & transportation, healthcare, food & beverage, and others. The healthcare segment projected a prominent revenue share in the market in 2022. Cognitive supply chain solutions can help hospitals and healthcare facilities manage their inventory of medical supplies and pharmaceuticals more efficiently. AI and machine learning algorithms can analyze usage patterns, forecast demand, and optimize inventory levels to ensure that essential items are always in stock while minimizing excess. In pharmaceutical supply chains, cognitive technologies can be used to ensure the traceability of drugs from manufacturing to distribution to the end-user.

Regional Outlook

Region-wise, the market is analysed across North America, Europe, Asia Pacific, and LAMEA. In 2022, the North America region generated the highest revenue share in the market. The increasing demand for efficacy and cost savings is one of the primary contributors to the expansion of the market in North America. Companies actively seek methods to streamline their supply chain operations, reduce costs, and increase output. Cognitive supply chain solutions enable them to recognize patterns, predict demand, and optimize inventory and logistics processes to increase resource allocation and decrease waste. In addition, big data and analytics proliferation play a vital role in accelerating the adoption of cognitive supply chain technologies.

The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include SAP SE, Oracle Corporation, Accenture PLC, IBM Corporation, Intel Corporation, NVIDIA Corporation, Honeywell International, Inc., C.H. Robinson Worldwide, Inc., Amazon.com, Inc. and Panasonic Holdings Corporation

Strategies deployed in Cognitive Supply Chain Market

May-2023: Accenture PLC extended its partnership with Blue Yonder Group, Inc., a proven pioneer in autonomous supply chain. This partnership aimed to support organizations with resilient, responsive, and sustainable supply chains.

Jan-2023: Accenture PLC completed the acquisition of Inspirage, LLC, an IT service management company. This acquisition would improve Accenture’s Oracle Cloud capabilities, supporting it accelerate innovation for clients through emerging technologies, such as touchless supply chain and digital twins.

Mar-2022: Honeywell international, Inc. collaborated with OTTO Motors, a company that design flexible and intelligent autonomous mobile robots for the industry. Through this collaboration Honeywell aimed to provide warehouses and distribution centres throughout North America an automated option to handle some of the most labour-intensive roles in a growing scarce job market.

Dec-2021: C.H Robinson Worldwide partnered with SAS, a leader in business analytics. Under the partnership, both the companies would use data & analytics to solve a gargantuan supply chain problem and enhance the supply chain efficiency. The companies aimed to design an end-to-end supply chain solution that integrates inventory & demand signal data with real-time transportation data.

Nov-2021: Oracle unveiled a new cloud analytics offering for the company's shipper consumers that utilize Oracle Fusion Cloud Supply Chain & Manufacturing (SCM) platform. Through this launch, the company aimed to provide shippers with the required insights to understand, detect & resolve issues faster all over the supply chain by connecting their supply networks with an integrated suite of cloud business applications.

Jun-2021: Oracle extended its existing partnership with Redwood Logistics, one of the fastest-growing supply chain & logistics companies in North America. The companies aimed to provide OTM users with robust capacity, instant rates & 100% tender acceptance through the integration of Rating API of Redwood with Oracle Fusion Cloud Transportation Management (OTM) which would allow any consumer of the Oracle Transportation Management network to obtain guaranteed capacity on automatically priced loads & tender shipments immediately without human interaction.

Apr-2021: NVIDIA entered into a partnership with Cloudera, Inc., an American software company providing an enterprise data management and analytics platform. From this partnership, the companies would integrate the RAPIDS Accelerator for Apache Spark 3.0. This partnership aimed to allow organizations to accelerate data pipelines & enhance the performance boundaries of data & machine learning (ML) activities to drive the use of artificial intelligence & deliver better outcomes without changing any code.

Dec-2020: SAP extended its partnership with Microsoft, an American multinational technology corporation. This partnership aimed to allow consumers to develop & operate intelligent digital supply chains & Industry 4.0 solutions in the cloud on edge. This would enable enterprises to utilize a comprehensive set of SAP Digital supply chain solutions on Microsoft Azure that includes SAP Intelligent Asset Management solutions, SAP solutions for digital manufacturing, SAP Logistics Business Network, and SAP Integrated Business Planning.

Apr-2019: Panasonic Holdings corporation signed an agreement with JDA software, Inc., a pioneer in autonomous supply chain. Under this acquisition, both the companies would aim to formed a joint venture company to further promote sales of the companies' joint solutions for the manufacturing, logistics, and retail industries in Japan.

Scope of the Study

Market Segments covered in the Report:

By Deployment Type

• On-premise
• Cloud

By Technology

• Internet of Things (IoT)
• Machine Learning
• Others

By Enterprise Size

• Large Enterprises
• Small & Medium-sized Enterprises

By Vertical

• Manufacturing
• Food & Beverage
• Logistics & Transportation
• Retail & E-commerce
• Healthcare
• Others

By Geography

• North America
• US
• Canada
• Mexico
• Rest of North America
• Europe
• Germany
• UK
• France
• Russia
• Spain
• Italy
• Rest of Europe
• Asia Pacific
• China
• Japan
• India
• South Korea
• Singapore
• Malaysia
• Rest of Asia Pacific
• LAMEA
• Brazil
• Argentina
• UAE
• Saudi Arabia
• South Africa
• Nigeria
• Rest of LAMEA

Companies Profiled

• SAP SE
• Oracle Corporation
• Accenture PLC
• IBM Corporation
• Intel Corporation
• NVIDIA Corporation
• Honeywell International, Inc.
• C.H. Robinson Worldwide, Inc.
• Amazon.com, Inc.
• Panasonic Holdings Corporation

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