市場調查報告書
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1433462
全球認知供應鏈市場 2023-2030Global Cognitive Supply Chain Market 2023-2030 |
預計全球認知供應鏈市場在預測期內(2023-2030年)CAGR將達到17.9%。隨著市場競爭的日益激烈和供應鏈系統的複雜性,組織正在採用雲端運算、人工智慧/機器學習和物聯網等先進技術來提高營運效率並降低成本。此外,COVID-19 和不斷加劇的地緣政治緊張局勢擾亂了全球物流和供應鏈生態系統,促使組織採用技術主導的供應鏈管理解決方案來應對挑戰。
全球認知供應鏈市場按技術、部署和最終用戶產業進行細分。按技術分類,市場細分為人工智慧/機器學習、物聯網以及自然語言處理和區塊鏈等其他技術。根據部署,市場分為雲端部署和本地部署。按最終用戶行業分類,市場細分為製造、零售和電子商務、物流和運輸、醫療保健、食品和飲料以及汽車和能源行業等其他行業。在終端用戶中,零售和電子商務領域對認知供應鏈市場的需求預計將成長。根據國際貿易管理局 (ITA) 預測,到 2026 年,全球 B2B 電子商務市場預計將以 14.5% 的年複合成長率(CAGR) 成長,市值將達到 36 兆美元。此外,B2C 電子商務市場預計到2027 年,營收將以14.4% 的CAGR成長至 5.5 兆美元。隨著全球零售和電子商務領域的競爭環境日益激烈以及全球供應鏈生態系統的破壞,市場參與者正在關注將技術涵蓋供應鏈管理。
全球電子商務市場規模,兆美元
Global Cognitive Supply Chain Market Size, Share & Trends Analysis Report by Technology (Artificial Intelligence (AI)/Machine Learning (ML), Internet of Things (IoT), Others(Natural Language Processing (NLP), Blockchain)), by Deployment (Cloud and On-premise) and by End-User Industry (Manufacturing, Retail & E-commerce, Logistics and Transportation, Healthcare, Food and Beverage and Others (Automotive, Energy)) Forecast Period (2023-2030)
The global cognitive supply chain market is anticipated to grow at a significant CAGR of 17.9% during the forecast period (2023-2030). With a growing competitive market and the complexity of supply chain systems, organizations are adopting advanced technologies such as cloud computing, AI/ML, and IoT to improve operational efficiency and cost reduction. Additionally, COVID-19 and rising geopolitical tensions disrupted the global logistics and supply chain ecosystem, pushing organizations to embrace tech-led supply chain management solutions to handle the challenges.
The global cognitive supply chain market is segmented by technology, deployment, and end-user industry. By technology, the market is sub-segmented into AI/ML, IoT, and other technologies such as NLP and blockchain. By deployment, the market is sub-segmented into cloud and on-premises deployment. By end-user industry, the market is sub-segmented into manufacturing, retail and E-commerce, logistics and transportation, healthcare, food and beverage, and other industries such as automotive and energy industry. Among the end-users, the demand for the cognitive supply chain market is expected to grow in the retail and e-commerce sectors. According to the International Trade Administration (ITA), the global B2B e-commerce market is expected to grow at a 14.5% compound annual growth rate (CAGR)at a market value of $36 trillion till 2026. Additionally, the B2C e-commerce market revenue is expected to grow to $5.5 trillion by 2027 at a 14.4% CAGR. With the growing competitive environment in the global retail and e-commerce sector and disruption in global supply chain ecosystems, market players are focusing on the inclusion of technologies in supply chain management.
Global E-commerce market size, $ trillion
Source: International Trade Administration (ITA)
Manufacturing Industry Contributes the Highest to the Global Cognitive Supply Chain Industry
Globally, the demand for cognitive supply chain solutions is growing in the manufacturing industry due to their ability to optimize operational efficiency, reduce costs, and enhance overall supply chain performance. The manufacturing sector collectively contributes significantly to the global economy. According to the World Trade Organization (WTO), trade in manufactured goods represented 71.0% of world merchandise exports in 2020, equal to $12.1 trillion out of a total of $17 trillion. It also represents 17.0% of the global gross domestic product (GDP). The sector has suffered significant losses due to rising geopolitical tensions and Covid-19 disrupting the global supply chain. Advanced technological solutions such as AI/ML enable real-time data analysis for informed decision-making, improved demand forecasting, inventory management, and production planning, allowing manufacturers to respond swiftly to market changes. Additionally, cognitive supply chain technologies support predictive maintenance, minimizing downtime and extending equipment lifespan. The integration of intelligent systems increases collaboration and communication among stakeholders, considering the growing complexity and interconnectivity of the manufacturing landscape.
The global cognitive supply chain market is further segmented based on geography including North America (the US, and Canada), Europe (UK, Italy, Spain, Germany, France, and the Rest of Europe), Asia-Pacific (India, China, Japan, South Korea, and Rest of Asia), and the Rest of the World (the Middle East & Africa, and Latin America). Among regions, the European market is expected to contribute significantly to the global cognitive supply chain industry mainly due to the region's significant share of global end-user industries, rapid technological advancements, and the presence of key market players such as IBM, and SAP among others.
Asia-Pacific is anticipated to exhibit highest CAGR owing to factors such as the significant presence of end-user industries, the presence of market players, growing regional trade activities, along with growing adoption rate of advanced technologies such as AI/ML, and IoT among others. According to the ITA, Asia Pacific accounted for 78.9% of the global e-commerce market. Additionally, growing government support from major economies in the region to improve the supply chain and growing product offerings is also driving the overall market. For instance, in February 2023, XPDEL launched an agile and scalable shipping solution in India. Also, in November 2022, Gurugram-based supply chain solutions company 3SC Solutions announced the launch of the SCAI supply chain planning and execution platform. According to the company, the platform uses data analytics to combine data from multiple departments to address planning issues and opportunities for enterprises.
The major companies serving the global cognitive supply chain market are Descartes Systems Group Inc., Honeywell International Inc., IBM Corp., Infor, and Intel Corp. among others. The market players are increasingly focusing on business expansion and product development by applying strategies such as collaboration, mergers, and acquisitions to stay competitive. For instance, in October 2023, Tools Group announced the acquisition of Evo, a provider of AI/ ML solutions tailored to enhance business performance. This strategic integration blends Evo's agile AI solutions with Tools Group's offerings, resulting in real-time supply chain and price optimization solutions for customers.