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認知供應鏈市場規模、佔有率和趨勢分析報告：2023-2030 年按部署、公司規模、使用的自動化、行業、地區和細分市場進行的預測
市場調查報告書
商品編碼
1363452

認知供應鏈市場規模、佔有率和趨勢分析報告：2023-2030 年按部署、公司規模、使用的自動化、行業、地區和細分市場進行的預測

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個工作天內

價格

認知供應鏈市場成長與趨勢：

Grand View Research, Inc. Masu 的一項新研究顯示，預計到 2030 年，全球認知供應鏈市場規模將達到 213.5 億美元，2023 年至 2030 年年複合成長率為 15.4%。

由於各種融合要素，這個市場正在經歷顯著的成長和轉型。推動該市場的要素包括擴大採用資料主導的決策。透過利用複雜的分析和人工智慧功能，公司可以有效地處理和探索大型資料集。這些認知技術提供了寶貴的見解，使公司能夠增強庫存管理、最佳化需求預測並以更高的準確性和有效性改善物流業務。

認知供應鏈解決方案的採用在很大程度上受到整合整合的影響，自動化整合徹底改變了公司處理供應鏈流程的方式。透過利用機器學習和機器人流程自動化 (RPA) 的力量，公司可以自動化整個供應鏈中許多重複且耗時的任務。由人工智慧 (AI) 提供支援的機器學習使認知供應鏈系統能夠從歷史資料中吸收見解並檢測人類看不見的模式和趨勢。因此，系統可以做出準確的預測和基於資料的選擇。例如，機器學習演算法可以分析過去的銷售資料和其他變量，以預測未來的需求並確保在正確的時間達到正確的存量基準。

相反，機器人流程自動化是指使用軟體機器人來執行先前由人類手動執行的基於規則的任務。 RPA 快速且準確地處理資料輸入、申請處理和訂單追蹤等任務。這種自動化使員工能夠專注於更有價值和更具策略性的活動，從而提高組織內的生產力和效率。將自動化涵蓋供應鏈的好處之一是能夠降低營運成本。透過自動化曾經需要大量人工干涉的任務，公司可以簡化流程，消除對體力勞動的需求，並最佳化資源利用率。因此，這種成本降低可以對公司的財務表現產生重大影響，並釋放出可以再投資於其他重要業務領域的資金。

對永續性和環境議題日益濃厚的興趣是企業在整個供應鏈中涵蓋環保實踐的重要動力。利用人工智慧和機器學習等先進技術的認知解決方案將在幫助企業實現永續性目標和滿足具有環保意識的消費者的偏好發揮關鍵作用。Masu。最佳化運輸路線是認知解決方案有助於打造綠色供應鏈的一種方式。交通運輸是溫室氣體排放的主要來源，低效率的路線會導致燃料消耗增加和碳足跡增加。認知技術可以分析運輸資料，包括交通狀況和其他相關要素，以確定最有效的送貨路線。透過最大限度地縮短行程距離和最佳化交貨時間表，公司可以減少燃料消費量和排放，並促進綠色供應鏈。

您可以促進環保的供應鏈。

認知供應鏈市場報告亮點

  • 隨著其可擴展性在市場上越來越受歡迎，雲端部署細分市場預計將以 16.6%的年複合成長率成長。雲端基礎的解決方案可讓企業根據需求波動和不斷變化的業務需求來調整資源。
  • 從公司規模來看，中小企業細分市場將成為主導細分市場，預計在預測期內複合年複合成長率最高。促進中小企業市場成長的關鍵要素之一是成本效益。中小型企業現在可以使用雲端基礎的認知供應鏈平台，與傳統的本地解決方案相比，該平台所需的初始投資更少，這使得它們在預算緊張的情況下更加可行。
  • 機器學習（ML）領域預計將在未來年度佔據市場主導地位。市場區隔中的機器學習自動化使公司能夠簡化和最佳化供應鏈流程、降低營運成本、提高效率並做出資料主導的決策。透過自動執行重複性任務、分析大量資料以及識別模式和競爭考察，機器學習驅動的解決方案可以幫助公司在市場中獲得優勢。
  • 預計亞太地區在預測期內將出現較高的年複合成長率。由於技術進步和對高效供應鏈管理解決方案的需求激增，過去年度亞太市場出現了顯著成長。
  • 該市場是分散的，IBM公司、甲骨文公司、亞馬遜公司、埃森哲公司、英特爾公司、NVIDIA公司、霍尼韋爾國際公司。

目錄

第1章 調查方法和範圍

第2章 執行摘要

第3章 市場變數、趨勢與範圍預測

  • 市場體系預測
  • 認知供應鏈市場-價值鏈分析
  • 認知供應鏈市場動態
  • 認知供應鏈市場—波特五力分析
  • 認知供應鏈市場 – PESTLE分析
  • COVID-19感染疾病的影響分析

第4章 認知供應鏈市場：預測

  • 認知供應鏈市場，按部署分析和市場佔有率，2022 年和 2030 年
  • 雲
  • 本地

第5章 認知供應鏈市場：依公司規模分類的預測

  • 認知供應鏈市場，按公司規模分析和市場佔有率，2022 年和 2030 年
  • 中小企業
  • 主要企業

第6章 認知供應鏈市場：使用自動化預測

  • 認知供應鏈市場，按使用自動化分析和市場佔有率，2022 年和 2030 年
  • 物聯網 (IoT)
  • 機器學習（ML）
  • 其他

第7章 認知供應鏈市場：產業展望

  • 2022 年和 2030 年認知供應鏈市場、產業分析與市場佔有率
  • 製造業
  • 零售與電子商務
  • 物流運輸
  • 衛生保健
  • 食品和飲料
  • 其他

第8章 認知供應鏈市場：區域估計與趨勢分析

  • 2022 年及 2030 年認知供應鏈市場佔有率（按地區）
  • 北美洲
    • 依發展情況，2019-2030
    • 按公司規模分類，2019-2030
    • 依自動化使用情況分類，2019-2030
    • 按行業分類，2019-2030
    • 美國
    • 加拿大
  • 歐洲
    • 依發展情況，2019-2030
    • 按公司規模分類，2019-2030
    • 依自動化使用情況分類，2019-2030
    • 按行業分類，2019-2030
    • 德國
    • 英國
    • 法國
  • 亞太地區
    • 依發展情況，2019-2030
    • 按公司規模分類，2019-2030
    • 依自動化使用情況分類，2019-2030
    • 按行業分類，2019-2030
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
  • 拉丁美洲
    • 依發展情況，2019-2030
    • 按公司規模分類，2019-2030
    • 依自動化使用情況分類，2019-2030
    • 按行業分類，2019-2030
    • 巴西
    • 墨西哥
  • 中東和非洲
    • 依發展情況，2019-2030
    • 按公司規模分類，2019-2030
    • 依自動化使用情況分類，2019-2030
    • 按行業分類，2019-2030
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 南非

第9章 認知供應鏈市場競爭形勢

  • 主要市場參與企業
    • IBM Corporation
    • Oracle
    • Amazon.com
    • Accenture plc
    • Intel Corporation
    • NVIDIA Corporation
    • Honeywell International Inc.
    • CH Robinson Worldwide, Inc.
    • Panasonic
    • SAP SE
  • 2022年主要企業市場佔有率分析
  • 2022 年公司分類/定位分析
  • 策略規劃
    • 擴張
    • 併購
    • 夥伴關係與協作
    • 產品/服務發布
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