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认知供应链市场规模、份额和趋势分析报告：2023-2030 年按部署、公司规模、使用的自动化、行业、地区和细分市场进行的预测
市场调查报告书
商品编码
1363452

认知供应链市场规模、份额和趋势分析报告：2023-2030 年按部署、公司规模、使用的自动化、行业、地区和细分市场进行的预测

Cognitive Supply Chain Market Size, Share & Trends Analysis Report By Deployment (Cloud, On-Premise), By Enterprise Size, By Automation Used (IoT, Machine Learning), By Industry Verticals, By Region, And Segment Forecasts, 2023 - 2030
出版日期: | 出版商: Grand View Research | 英文 100 Pages | 商品交期: 2-10个工作天内

价格

认知供应链市场成长与趋势：

Grand View Research, Inc. Masu 的一项新研究显示，预计到 2030 年，全球认知供应链市场规模将达到 213.5 亿美元，2023 年至 2030 年年复合成长率为 15.4%。

由于各种融合要素，这个市场正在经历显着的成长和转型。推动该市场的要素包括越来越多地采用资料主导的决策。透过利用复杂的分析和人工智慧功能，公司可以有效地处理和探索大型资料集。这些认知技术提供了宝贵的见解，使公司能够增强库存管理、优化需求预测并以更高的准确性和有效性改善物流业务。

认知供应链解决方案的采用在很大程度上受到整合整合的影响，自动化整合彻底改变了公司处理供应链流程的方式。透过利用机器学习和机器人流程自动化 (RPA) 的力量，公司可以自动化整个供应链中许多重复且耗时的任务。由人工智慧 (AI) 提供支援的机器学习使认知供应链系统能够从历史资料中吸收见解并检测人类看不见的模式和趋势。因此，系统可以做出准确的预测和基于资料的选择。例如，机器学习演算法可以分析过去的销售资料和其他变量，以预测未来的需求并确保在正确的时间达到正确的存量基准。

相反，机器人流程自动化是指使用软体机器人来执行先前由人类手动执行的基于规则的任务。 RPA 快速且准确地处理资料输入、申请处理和订单追踪等任务。这种自动化使员工能够专注于更有价值和更具策略性的活动，从而提高组织内的生产力和效率。将自动化纳入供应链的好处之一是能够降低营运成本。透过自动化曾经需要大量人工干预的任务，公司可以简化流程，消除对体力劳动的需求，并最佳化资源利用率。因此，这种成本降低可以对公司的财务表现产生重大影响，并释放出可以再投资于其他重要业务领域的资金。

对永续性和环境议题日益浓厚的兴趣是企业在整个供应链中纳入环保实践的重要动力。利用人工智慧和机器学习等先进技术的认知解决方案将在帮助企业实现永续性目标和满足具有环保意识的消费者的偏好发挥关键作用。Masu。最佳化运输路线是认知解决方案有助于打造绿色供应链的一种方式。交通运输是温室气体排放的主要来源，低效率的路线会导致燃料消耗增加和碳足迹增加。认知技术可以分析运输资料，包括交通状况和其他相关要素，以确定最有效的送货路线。透过最大限度地缩短行程距离和最佳化交货时间表，公司可以减少燃料消费量和排放，并促进绿色供应链。

您可以促进环保的供应链。

认知供应链市场报告亮点

  • 随着其可扩展性在市场上越来越受欢迎，云端部署细分市场预计将以 16.6%的年复合成长率成长。云端基础的解决方案可让企业根据需求波动和不断变化的业务需求来调整资源。
  • 从公司规模来看，中小企业细分市场将成为主导细分市场，预计在预测期内复合年复合成长率最高。促进中小企业市场成长的关键要素之一是成本效益。中小型企业现在可以使用云端基础的认知供应链平台，与传统的本地解决方案相比，该平台所需的初始投资更少，这使得它们在预算紧张的情况下更加可行。
  • 机器学习（ML）领域预计将在未来年度占据市场主导地位。市场区隔中的机器学习自动化使公司能够简化和最佳化供应链流程、降低营运成本、提高效率并做出资料主导的决策。透过自动执行重复性任务、分析大量资料以及识别模式和竞争考察，机器学习驱动的解决方案可以帮助公司在市场中获得优势。
  • 预计亚太地区在预测期内将出现较高的年复合成长率。由于技术进步和对高效供应链管理解决方案的需求激增，过去年度亚太市场出现了显着成长。
  • 该市场是分散的，IBM公司、甲骨文公司、亚马逊公司、埃森哲公司、英特尔公司、NVIDIA公司、霍尼韦尔国际公司。

目录

第1章调查方法和范围

第2章执行摘要

第3章市场变数、趋势与范围预测

  • 市场体系预测
  • 认知供应链市场-价值链分析
  • 认知供应链市场动态
  • 认知供应链市场—波特五力分析
  • 认知供应链市场 – PESTLE分析
  • COVID-19感染疾病的影响分析

第4章认知供应链市场：预测

  • 认知供应链市场，按部署分析和市场占有率，2022 年和 2030 年
  • 云
  • 本地

第5章认知供应链市场：依公司规模分類的预测

  • 认知供应链市场，按公司规模分析和市场占有率，2022 年和 2030 年
  • 中小企业
  • 大公司

第6章认知供应链市场：使用自动化预测

  • 认知供应链市场，按使用自动化分析和市场占有率，2022 年和 2030 年
  • 物联网 (IoT)
  • 机器学习（ML）
  • 其他的

第7章认知供应链市场：产业展望

  • 2022 年和 2030 年认知供应链市场、产业分析与市场占有率
  • 製造业
  • 零售与电子商务
  • 物流运输
  • 卫生保健
  • 食品和饮料
  • 其他的

第8章认知供应链市场：区域估计与趋势分析

  • 2022 年及 2030 年认知供应链市场占有率（按地区）
  • 北美洲
    • 依发展情况，2019-2030
    • 按公司规模划分，2019-2030
    • 依自动化使用情况划分，2019-2030
    • 按行业划分，2019-2030
    • 美国
    • 加拿大
  • 欧洲
    • 依发展情况，2019-2030
    • 按公司规模划分，2019-2030
    • 依自动化使用情况划分，2019-2030
    • 按行业划分，2019-2030
    • 德国
    • 英国
    • 法国
  • 亚太地区
    • 依发展情况，2019-2030
    • 按公司规模划分，2019-2030
    • 依自动化使用情况划分，2019-2030
    • 按行业划分，2019-2030
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳洲
  • 拉丁美洲
    • 依发展情况，2019-2030
    • 按公司规模划分，2019-2030
    • 依自动化使用情况划分，2019-2030
    • 按行业划分，2019-2030
    • 巴西
    • 墨西哥
  • 中东和非洲
    • 依发展情况，2019-2030
    • 按公司规模划分，2019-2030
    • 依自动化使用情况划分，2019-2030
    • 按行业划分，2019-2030
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 南非

第9章认知供应链市场竞争形势

  • 主要市场参与企业
    • IBM Corporation
    • Oracle
    • Amazon.com
    • Accenture plc
    • Intel Corporation
    • NVIDIA Corporation
    • Honeywell International Inc.
    • CH Robinson Worldwide, Inc.
    • Panasonic
    • SAP SE
  • 2022年主要企业市场占有率分析
  • 2022 年公司分类/定位分析
  • 策略规划
    • 扩张
    • 併购
    • 伙伴关係与协作
    • 产品/服务发布
Product Code: GVR-4-68040-114-9

Cognitive Supply Chain Market Growth & Trends:

The global cognitive supply chain market size is predicted to reach USD 21.35 billion by 2030, expanding at a CAGR of 15.4% from 2023 to 2030, according to a new study conducted by Grand View Research, Inc.. The market has experienced significant growth and transformation due to various converging factors. A key driver behind this market's advancement is the increasing adoption of data-driven decision-making. Businesses can effectively handle and examine large datasets by leveraging sophisticated analytics and AI capabilities. These cognitive technologies offer valuable insights, enabling companies to enhance inventory management, optimize demand forecasting, and improve logistics operations with high accuracy and effectiveness.

The adoption of cognitive supply chain solutions has been significantly influenced by the integration of automation, which has revolutionized how businesses handle their supply chain processes. Utilizing the capabilities of machine learning and robotic process automation (RPA), companies can automate numerous repetitive and time-consuming tasks throughout the supply chain. Machine learning, a specialized aspect of artificial intelligence (AI), enables cognitive supply chain systems to assimilate insights from historical data, detecting patterns and trends that may go unnoticed by humans. Consequently, the system can make precise predictions and data-informed choices. For example, machine learning algorithms can analyze previous sales data and other variables to anticipate future demand, guaranteeing appropriate inventory levels at the right moments.

Conversely, robotic process automation refers to using software bots to execute rule-based tasks previously carried out manually by human workers. RPA handles tasks like data entry, invoice processing, and order tracking quickly and precisely. This automation allows employees to focus on more valuable and strategic activities, enhancing productivity and efficiency within the organization. One of the benefits of incorporating automation into the supply chain is its capacity to lower operational expenses. By automating tasks that once required significant human labor, companies can streamline their processes, eliminate the need for manual work, and optimize resource utilization. Consequently, this reduction in costs can substantially impact the company's financial performance, freeing up funds that can be reinvested into other crucial areas of the business.

The increasing focus on sustainability and environmental issues has become a key motivator for businesses to embrace eco-conscious practices across their supply chains. Cognitive solutions, which harness advanced technologies like artificial intelligence and machine learning, play a crucial role in assisting businesses to attain their sustainability objectives and cater to the preferences of environmentally aware consumers. One of the ways cognitive solutions contribute to eco-friendly supply chains is by optimizing transportation routes. Transportation represents a significant source of greenhouse gas emissions, and inefficient routes can lead to higher fuel consumption and an increased carbon footprint. Cognitive technologies can analyze transportation data, including traffic conditions and other pertinent factors, to identify the most efficient delivery routes. By minimizing distances traveled and optimizing delivery schedules, companies can decrease fuel consumption and emissions, thus promoting a more environmentally conscious supply chain.

Cognitive Supply Chain Market Report Highlights:

  • The cloud deployment segment market is expected to witness substantial growth with a CAGR of 16.6% on account of the 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
  • By enterprise size, the SME segment is expected to be a key segment, exhibiting the highest CAGR over the forecast period. One key factor contributing to the growth of the SME enterprise segment in the market is cost-effectiveness. SMEs can now access cloud-based cognitive supply chain platforms that require lower upfront investment than traditional on-premises solutions, making them more feasible for smaller budgets
  • Machine Learning (ML) segment is expected to dominate the market in the upcoming years. ML automation in the market segment allows businesses to streamline and optimize their supply chain processes, reduce operational costs, improve efficiency, and make data-driven decisions. By automating repetitive tasks, analyzing vast amounts of data, and identifying patterns and insights, ML-driven solutions can help companies gain a competitive edge in the market
  • Asia Pacific is anticipated to register a higher CAGR over the forecast period. The Asia Pacific market has witnessed substantial growth over the past few years, driven by a convergence of technological advancements and a burgeoning demand for efficient supply chain management solutions
  • The market is fragmented and is dominated by key players such as IBM Corporation, Oracle, Amazon.com, Accenture plc, Intel Corporation, NVIDIA Corporation, Honeywell International Inc., C.H. Robinson Worldwide, Inc., Panasonic, and SAP SE among others

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Market Segmentation & Scope
  • 1.2. Market Definitions
  • 1.3. Information Procurement
    • 1.3.1. Information analysis
    • 1.3.2. Market formulation & data visualization
    • 1.3.3. Data validation & publishing
  • 1.4. Research Scope and Assumptions
    • 1.4.1. List to Data Sources

Chapter 2. Executive Summary

  • 2.1. Market Summary
  • 2.2. Market Snapshot
  • 2.3. Segment Snapshot
  • 2.4. Competitive Landscape Snapshot

Chapter 3. Market Variables, Trends, & Scope Outlook

  • 3.1. Market Lineage Outlook
  • 3.2. Cognitive Supply Chain Market - Value Chain Analysis
  • 3.3. Cognitive Supply Chain Market Dynamics
    • 3.3.1. Market Driver Analysis
    • 3.3.2. Market Restraint Analysis
    • 3.3.3. Market Opportunity Analysis
  • 3.4. Cognitive Supply Chain Market - Porter's Five Forces Analysis
    • 3.4.1. Supplier power
    • 3.4.2. Buyer power
    • 3.4.3. Substitution threat
    • 3.4.4. Threat of new entrant
    • 3.4.5. Competitive rivalry
  • 3.5. Cognitive Supply Chain Market - PESTLE Analysis
    • 3.5.1. Political landscape
    • 3.5.2. Economic landscape
    • 3.5.3. Social landscape
    • 3.5.4. Technology landscape
    • 3.5.5. Legal landscape
    • 3.5.6. Environmental landscape
  • 3.6. COVID-19 Impact Analysis

Chapter 4. Cognitive Supply Chain Market Deployment Outlook

  • 4.1. Cognitive Supply Chain Market, By Deployment Analysis & Market Share, 2022 & 2030
  • 4.2. Cloud
    • 4.2.1. Market estimates and forecasts, 2019 - 2030 (USD Billion)
    • 4.2.2. Market estimates and forecasts, By Region, 2019 - 2030 (USD Billion)
  • 4.3. On-premise
    • 4.3.1. Market estimates and forecasts, 2019 - 2030 (USD Billion)
    • 4.3.2. Market estimates and forecasts, By Region, 2019 - 2030 (USD Billion)

Chapter 5. Cognitive Supply Chain Market Enterprise Size Outlook

  • 5.1. Cognitive Supply Chain Market, By Enterprise Size Analysis & Market Share, 2022 & 2030
  • 5.2. SMEs
    • 5.2.1. Market estimates and forecasts, 2019 - 2030 (USD Billion)
    • 5.2.2. Market estimates and forecasts, By Region, 2019 - 2030 (USD Billion)
  • 5.3. Large Enterprises
    • 5.3.1. Market estimates and forecasts, 2019 - 2030 (USD Billion)
    • 5.3.2. Market estimates and forecasts, By Region, 2019 - 2030 (USD Billion)

Chapter 6. Cognitive Supply Chain Market Automation Used Outlook

  • 6.1. Cognitive Supply Chain Market, By Automation Used Analysis & Market Share, 2022 & 2030
  • 6.2. Internet of Things (IoT)
    • 6.2.1. Market estimates and forecasts, 2019 - 2030 (USD Billion)
    • 6.2.2. Market estimates and forecasts, By Region, 2019 - 2030 (USD Billion)
  • 6.3. Machine Learning (ML)
    • 6.3.1. Market estimates and forecasts, 2019 - 2030 (USD Billion)
    • 6.3.2. Market estimates and forecasts, By Region, 2019 - 2030 (USD Billion)
  • 6.4. Others
    • 6.4.1. Market estimates and forecasts, 2019 - 2030 (USD Billion)
    • 6.4.2. Market estimates and forecasts, By Region, 2019 - 2030 (USD Billion)

Chapter 7. Cognitive Supply Chain Market Industry Verticals Outlook

  • 7.1. Cognitive Supply Chain Market, By Industry Verticals Analysis & Market Share, 2022 & 2030
  • 7.2. Manufacturing
    • 7.2.1. Market estimates and forecasts, 2019 - 2030 (USD Billion)
    • 7.2.2. Market estimates and forecasts, By Region, 2019 - 2030 (USD Billion)
  • 7.3. Retail & E-commerce
    • 7.3.1. Market estimates and forecasts, 2019 - 2030 (USD Billion)
    • 7.3.2. Market estimates and forecasts, By Region, 2019 - 2030 (USD Billion)
  • 7.4. Logistics and Transportation
    • 7.4.1. Market estimates and forecasts, 2019 - 2030 (USD Billion)
    • 7.4.2. Market estimates and forecasts, By Region, 2019 - 2030 (USD Billion)
  • 7.5. Healthcare
    • 7.5.1. Market estimates and forecasts, 2019 - 2030 (USD Billion)
    • 7.5.2. Market estimates and forecasts, By Region, 2019 - 2030 (USD Billion)
  • 7.6. Food and Beverage
    • 7.6.1. Market estimates and forecasts, 2019 - 2030 (USD Billion)
    • 7.6.2. Market estimates and forecasts, By Region, 2019 - 2030 (USD Billion)
  • 7.7. Others
    • 7.7.1. Market estimates and forecasts, 2019 - 2030 (USD Billion)
    • 7.7.2. Market estimates and forecasts, By Region, 2019 - 2030 (USD Billion)

Chapter 8. Cognitive Supply Chain Market: Regional Estimates & Trend Analysis

  • 8.1. Cognitive Supply Chain Market Share by Region, 2022 & 2030
  • 8.2. North America
    • 8.2.1. Market estimates and forecasts, 2019 - 2030
    • 8.2.2. Market estimates and forecasts, By Deployment, 2019 - 2030 (USD Billion)
    • 8.2.3. Market estimates and forecasts, By Enterprise Size, 2019 - 2030 (USD Billion)
    • 8.2.4. Market estimates and forecasts, By Automation Used, 2019 - 2030 (USD Billion)
    • 8.2.5. Market estimates and forecasts, By Industry Verticals, 2019 - 2030 (USD Billion)
    • 8.2.6. U.S.
      • 8.2.6.1. Market estimates and forecasts, By Deployment, 2019 - 2030 (USD Billion)
      • 8.2.6.2. Market estimates and forecasts, By Enterprise Size, 2019 - 2030 (USD Billion)
      • 8.2.6.3. Market estimates and forecasts, By Automation Used, 2019 - 2030 (USD Billion)
      • 8.2.6.4. Market estimates and forecasts, By Industry Verticals, 2019 - 2030 (USD Billion)
    • 8.2.7. Canada
      • 8.2.7.1. Market estimates and forecasts, By Deployment, 2019 - 2030 (USD Billion)
      • 8.2.7.2. Market estimates and forecasts, By Enterprise Size, 2019 - 2030 (USD Billion)
      • 8.2.7.3. Market estimates and forecasts, By Automation Used, 2019 - 2030 (USD Billion)
      • 8.2.7.4. Market estimates and forecasts, By Industry Verticals, 2019 - 2030 (USD Billion)
  • 8.3. Europe
    • 8.3.1. Market estimates and forecasts, 2019 - 2030
    • 8.3.2. Market estimates and forecasts, By Deployment, 2019 - 2030 (USD Billion)
    • 8.3.3. Market estimates and forecasts, By Enterprise Size, 2019 - 2030 (USD Billion)
    • 8.3.4. Market estimates and forecasts, By Automation Used, 2019 - 2030 (USD Billion)
    • 8.3.5. Market estimates and forecasts, By Industry Verticals, 2019 - 2030 (USD Billion)
    • 8.3.6. Germany
      • 8.3.6.1. Market estimates and forecasts, By Deployment, 2019 - 2030 (USD Billion)
      • 8.3.6.2. Market estimates and forecasts, By Enterprise Size, 2019 - 2030 (USD Billion)
      • 8.3.6.3. Market estimates and forecasts, By Automation Used, 2019 - 2030 (USD Billion)
      • 8.3.6.4. Market estimates and forecasts, By Industry Verticals, 2019 - 2030 (USD Billion)
    • 8.3.7. U.K.
      • 8.3.7.1. Market estimates and forecasts, By Deployment, 2019 - 2030 (USD Billion)
      • 8.3.7.2. Market estimates and forecasts, By Enterprise Size, 2019 - 2030 (USD Billion)
      • 8.3.7.3. Market estimates and forecasts, By Automation Used, 2019 - 2030 (USD Billion)
      • 8.3.7.4. Market estimates and forecasts, By Industry Verticals, 2019 - 2030 (USD Billion)
    • 8.3.8. France
      • 8.3.8.1. Market estimates and forecasts, By Deployment, 2019 - 2030 (USD Billion)
      • 8.3.8.2. Market estimates and forecasts, By Enterprise Size, 2019 - 2030 (USD Billion)
      • 8.3.8.3. Market estimates and forecasts, By Automation Used, 2019 - 2030 (USD Billion)
      • 8.3.8.4. Market estimates and forecasts, By Industry Verticals, 2019 - 2030 (USD Billion)
  • 8.4. Asia-Pacific
    • 8.4.1. Market estimates and forecasts, 2019 - 2030
    • 8.4.2. Market estimates and forecasts, By Deployment, 2019 - 2030 (USD Billion)
    • 8.4.3. Market estimates and forecasts, By Enterprise Size, 2019 - 2030 (USD Billion)
    • 8.4.4. Market estimates and forecasts, By Automation Used, 2019 - 2030 (USD Billion)
    • 8.4.5. Market estimates and forecasts, By Industry Verticals, 2019 - 2030 (USD Billion)
    • 8.4.6. China
      • 8.4.6.1. Market estimates and forecasts, By Deployment, 2019 - 2030 (USD Billion)
      • 8.4.6.2. Market estimates and forecasts, By Enterprise Size, 2019 - 2030 (USD Billion)
      • 8.4.6.3. Market estimates and forecasts, By Automation Used, 2019 - 2030 (USD Billion)
      • 8.4.6.4. Market estimates and forecasts, By Industry Verticals, 2019 - 2030 (USD Billion)
    • 8.4.7. Japan
      • 8.4.7.1. Market estimates and forecasts, By Deployment, 2019 - 2030 (USD Billion)
      • 8.4.7.2. Market estimates and forecasts, By Enterprise Size, 2019 - 2030 (USD Billion)
      • 8.4.7.3. Market estimates and forecasts, By Automation Used, 2019 - 2030 (USD Billion)
      • 8.4.7.4. Market estimates and forecasts, By Industry Verticals, 2019 - 2030 (USD Billion)
    • 8.4.8. India
      • 8.4.8.1. Market estimates and forecasts, By Deployment, 2019 - 2030 (USD Billion)
      • 8.4.8.2. Market estimates and forecasts, By Enterprise Size, 2019 - 2030 (USD Billion)
      • 8.4.8.3. Market estimates and forecasts, By Automation Used, 2019 - 2030 (USD Billion)
      • 8.4.8.4. Market estimates and forecasts, By Industry Verticals, 2019 - 2030 (USD Billion)
    • 8.4.9. South Korea
      • 8.4.9.1. Market estimates and forecasts, By Deployment, 2019 - 2030 (USD Billion)
      • 8.4.9.2. Market estimates and forecasts, By Enterprise Size, 2019 - 2030 (USD Billion)
      • 8.4.9.3. Market estimates and forecasts, By Automation Used, 2019 - 2030 (USD Billion)
      • 8.4.9.4. Market estimates and forecasts, By Industry Verticals, 2019 - 2030 (USD Billion)
    • 8.4.10. Australia
      • 8.4.10.1. Market estimates and forecasts, By Deployment, 2019 - 2030 (USD Billion)
      • 8.4.10.2. Market estimates and forecasts, By Enterprise Size, 2019 - 2030 (USD Billion)
      • 8.4.10.3. Market estimates and forecasts, By Automation Used, 2019 - 2030 (USD Billion)
      • 8.4.10.4. Market estimates and forecasts, By Industry Verticals, 2019 - 2030 (USD Billion)
  • 8.5. Latin America
    • 8.5.1. Market estimates and forecasts, 2019 - 2030
    • 8.5.2. Market estimates and forecasts, By Deployment, 2019 - 2030 (USD Billion)
    • 8.5.3. Market estimates and forecasts, By Enterprise Size, 2019 - 2030 (USD Billion)
    • 8.5.4. Market estimates and forecasts, By Automation Used, 2019 - 2030 (USD Billion)
    • 8.5.5. Market estimates and forecasts, By Industry Verticals, 2019 - 2030 (USD Billion)
    • 8.5.6. Brazil
      • 8.5.6.1. Market estimates and forecasts, By Deployment, 2019 - 2030 (USD Billion)
      • 8.5.6.2. Market estimates and forecasts, By Enterprise Size, 2019 - 2030 (USD Billion)
      • 8.5.6.3. Market estimates and forecasts, By Automation Used, 2019 - 2030 (USD Billion)
      • 8.5.6.4. Market estimates and forecasts, By Industry Verticals, 2019 - 2030 (USD Billion)
    • 8.5.7. Mexico
      • 8.5.7.1. Market estimates and forecasts, By Deployment, 2019 - 2030 (USD Billion)
      • 8.5.7.2. Market estimates and forecasts, By Enterprise Size, 2019 - 2030 (USD Billion)
      • 8.5.7.3. Market estimates and forecasts, By Automation Used, 2019 - 2030 (USD Billion)
      • 8.5.7.4. Market estimates and forecasts, By Industry Verticals, 2019 - 2030 (USD Billion)
  • 8.6. Middle East & Africa
    • 8.6.1. Market estimates and forecasts, 2019 - 2030
    • 8.6.2. Market estimates and forecasts, By Deployment, 2019 - 2030 (USD Billion)
    • 8.6.3. Market estimates and forecasts, By Enterprise Size, 2019 - 2030 (USD Billion)
    • 8.6.4. Market estimates and forecasts, By Automation Used, 2019 - 2030 (USD Billion)
    • 8.6.5. Market estimates and forecasts, By Industry Verticals, 2019 - 2030 (USD Billion)
    • 8.6.6. KSA
      • 8.6.6.1. Market estimates and forecasts, By Deployment, 2019 - 2030 (USD Billion)
      • 8.6.6.2. Market estimates and forecasts, By Enterprise Size, 2019 - 2030 (USD Billion)
      • 8.6.6.3. Market estimates and forecasts, By Automation Used, 2019 - 2030 (USD Billion)
      • 8.6.6.4. Market estimates and forecasts, By Industry Verticals, 2019 - 2030 (USD Billion)
    • 8.6.7. UAE
      • 8.6.7.1. Market estimates and forecasts, By Deployment, 2019 - 2030 (USD Billion)
      • 8.6.7.2. Market estimates and forecasts, By Enterprise Size, 2019 - 2030 (USD Billion)
      • 8.6.7.3. Market estimates and forecasts, By Automation Used, 2019 - 2030 (USD Billion)
      • 8.6.7.4. Market estimates and forecasts, By Industry Verticals, 2019 - 2030 (USD Billion)
    • 8.6.8. South Africa
      • 8.6.8.1. Market estimates and forecasts, By Deployment, 2019 - 2030 (USD Billion)
      • 8.6.8.2. Market estimates and forecasts, By Enterprise Size, 2019 - 2030 (USD Billion)
      • 8.6.8.3. Market estimates and forecasts, By Automation Used, 2019 - 2030 (USD Billion)
      • 8.6.8.4. Market estimates and forecasts, By Industry Verticals, 2019 - 2030 (USD Billion)

Chapter 9. Cognitive Supply Chain Market Competitive Landscape

  • 9.1. Key Market Participants
    • 9.1.1. IBM Corporation
    • 9.1.2. Oracle
    • 9.1.3. Amazon.com
    • 9.1.4. Accenture plc
    • 9.1.5. Intel Corporation
    • 9.1.6. NVIDIA Corporation
    • 9.1.7. Honeywell International Inc.
    • 9.1.8. C.H. Robinson Worldwide, Inc.
    • 9.1.9. Panasonic
    • 9.1.10. SAP SE
  • 9.2. Key Company Market Share Analysis, 2022
  • 9.3. Company Categorization/Position Analysis, 2022
  • 9.4. Strategic Mapping
    • 9.4.1. Expansion
    • 9.4.2. Mergers & Acquisition
    • 9.4.3. Partnership & Collaborations
    • 9.4.4. Product/service launch 

List of Tables

  • Table 1 Global Cognitive Supply Chain Market revenue estimates and forecast, by deployment, 2019 - 2030 (USD Billion)
  • Table 2 Global Cognitive Supply Chain Market revenue estimates and forecast, by enterprise size, 2019 - 2030 (USD Billion)
  • Table 3 Global Cognitive Supply Chain Market revenue estimates and forecast, by automation used, 2019 - 2030 (USD Billion)
  • Table 4 Global Cognitive Supply Chain Market revenue estimates and forecast, by industry verticals, 2019 - 2030 (USD Billion)
  • Table 5 Global Cognitive Supply Chain Market revenue estimates and forecast, by region, 2019 - 2030 (USD Billion)
  • Table 6 Company heat map analysis
  • Table 7 Key companies undergoing partnerships and collaborations
  • Table 8 Key companies undergoing expansion
  • Table 9 Key companies undergoing mergers and acquisitions
  • Table 10 Key companies launching new products 

List of Figures

  • Fig. 1 Cognitive Supply Chain Market segmentation
  • Fig. 2 Information procurement
  • Fig. 3 Data analysis models
  • Fig. 4 Market formulation and validation
  • Fig. 5 Data validating & publishing
  • Fig. 6 Market snapshot
  • Fig. 7 Segment snapshot
  • Fig. 8 Competitive landscape snapshot
  • Fig. 9 Cognitive Supply Chain Market value, 2019 - 2030 (USD Billion)
  • Fig. 10 Cognitive Supply Chain Market - Industry value chain analysis
  • Fig. 11 Cognitive Supply Chain Market - Market trends
  • Fig. 12 Cognitive Supply Chain Market: Porter's analysis
  • Fig. 13 Cognitive Supply Chain Market: PESTEL analysis
  • Fig. 14 Cognitive Supply Chain Market, by deployment: Key takeaways
  • Fig. 15 Cognitive Supply Chain Market, by deployment: Market share, 2022 & 2030
  • Fig. 16 Cognitive Supply Chain deployment market estimates & forecasts, by cloud, 2019 - 2030
  • Fig. 17 Cognitive Supply Chain deployment market estimates & forecasts, by on-premise, 2019 - 2030 (USD Billion)
  • Fig. 18 Cognitive Supply Chain Market, by enterprise size: Key takeaways
  • Fig. 19 Cognitive Supply Chain Market, by enterprise size: Market share, 2022 & 2030
  • Fig. 20 Cognitive Supply Chain enterprise size market estimates & forecasts, by SMEs, 2019 - 2030 (USD Billion)
  • Fig. 21 Cognitive Supply Chain enterprise size market estimates & forecasts, by large enterprises, 2019 - 2030 (USD Billion)
  • Fig. 22 Cognitive Supply Chain Market, by automation used: Key takeaways
  • Fig. 23 Cognitive Supply Chain Market, by automation used: Market share, 2022 & 2030
  • Fig. 24 Cognitive Supply Chain automation used market estimates & forecasts, by Internet of Things (IoT), 2019 - 2030
  • Fig. 25 Cognitive Supply Chain automation used market estimates & forecasts, by Machine Learning (ML), 2019 - 2030 (USD Billion)
  • Fig. 26 Cognitive Supply Chain automation used market estimates & forecasts, by others, 2019 - 2030
  • Fig. 27 Cognitive Supply Chain Market, by industry verticals: Key takeaways
  • Fig. 28 Cognitive Supply Chain Market, by industry vertical: Market share, 2022 & 2030
  • Fig. 29 Cognitive Supply Chain industry verticals market estimates & forecasts, by manufacturing, 2019 - 2030 (USD Billion)
  • Fig. 30 Cognitive Supply Chain industry verticals market estimates & forecasts, by retail & e-commerce, 2019 - 2030 (USD Billion)
  • Fig. 31 Cognitive Supply Chain industry verticals market estimates & forecasts, by logistics and transportation, 2019 - 2030
  • Fig. 32 Cognitive Supply Chain industry verticals market estimates & forecasts, by healthcare, 2019 - 2030 (USD Billion)
  • Fig. 33 Cognitive Supply Chain industry verticals market estimates & forecasts, by food and beverage, 2019 - 2030 (USD Billion)
  • Fig. 34 Cognitive Supply Chain industry verticals market estimates & forecasts, by others, 2019 - 2030 (USD Billion)
  • Fig. 35 Global Cognitive Supply Chain Market revenue, by region, 2022 & 2030 (USD Billion)
  • Fig. 36 North America Cognitive Supply Chain Market estimates & forecasts, 2019 - 2030 (USD Billion)
  • Fig. 37 U.S. Cognitive Supply Chain Market estimates & forecasts, 2019 - 2030 (USD Billion)
  • Fig. 38 Canada Cognitive Supply Chain Market estimates & forecasts, 2019 - 2030 (USD Billion)
  • Fig. 39 Europe Cognitive Supply Chain Market estimates & forecasts, 2019 - 2030 (USD Billion)
  • Fig. 40 U.K. Cognitive Supply Chain Market estimates & forecasts, 2019 - 2030 (USD Billion)
  • Fig. 41 Germany Cognitive Supply Chain Market estimates & forecasts, 2019 - 2030 (USD Billion)
  • Fig. 42 France Cognitive Supply Chain Market estimates & forecasts, 2019 - 2030 (USD Billion)
  • Fig. 43 Asia Pacific Cognitive Supply Chain Market estimates & forecasts, 2019 - 2030 (USD Billion)
  • Fig. 44 China Cognitive Supply Chain Market estimates & forecasts, 2019 - 2030 (USD Billion)
  • Fig. 45 India Cognitive Supply Chain Market estimates & forecasts, 2019 - 2030 (USD Billion)
  • Fig. 46 Japan Cognitive Supply Chain Market estimates & forecasts, 2019 - 2030 (USD Billion)
  • Fig. 47 South Korea Cognitive Supply Chain Market estimates & forecasts, 2019 - 2030 (USD Billion)
  • Fig. 48 Australia Cognitive Supply Chain Market estimates & forecasts, 2019 - 2030 (USD Billion)
  • Fig. 49 Latin America Cognitive Supply Chain Market estimates & forecasts, 2019 - 2030 (USD Billion)
  • Fig. 50 Brazil Cognitive Supply Chain Market estimates & forecasts, 2019 - 2030 (USD Billion)
  • Fig. 51 Mexico Cognitive Supply Chain Market estimates & forecasts, 2019 - 2030 (USD Billion)
  • Fig. 52 Middle East & Africa Cognitive Supply Chain Market estimates & forecasts, 2019 - 2030 (USD Billion)
  • Fig. 53 KSA Cognitive Supply Chain Market estimates & forecasts, 2019 - 2030 (USD Billion)
  • Fig. 54 UAE Cognitive Supply Chain Market estimates & forecasts, 2019 - 2030 (USD Billion)
  • Fig. 55 South Africa Cognitive Supply Chain Market estimates & forecasts, 2019 - 2030 (USD Billion)
  • Fig. 56 Key company categorization
  • Fig. 57 Cognitive Supply Chain Market - Key company market share analysis, 2022
  • Fig. 58 Strategic framework