表紙:コグニティブサプライチェーンの市場規模、シェア、動向分析レポート:展開別、企業規模別、使用オートメーション別、業界別、地域別、セグメント別予測、2023年~2030年
市場調査レポート
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1363452

コグニティブサプライチェーンの市場規模、シェア、動向分析レポート:展開別、企業規模別、使用オートメーション別、業界別、地域別、セグメント別予測、2023年~2030年

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: | 発行: Grand View Research | ページ情報: 英文 100 Pages | 納期: 2~10営業日

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コグニティブサプライチェーンの市場規模、シェア、動向分析レポート:展開別、企業規模別、使用オートメーション別、業界別、地域別、セグメント別予測、2023年~2030年
出版日: 2023年09月12日
発行: Grand View Research
ページ情報: 英文 100 Pages
納期: 2~10営業日
  • 全表示
  • 概要
  • 図表
  • 目次
概要

コグニティブサプライチェーン市場の成長と動向:

Grand View Research, Inc.の新しい調査によると、世界のコグニティブサプライチェーン市場規模は、2023年から2030年にかけて15.4%のCAGRで拡大し、2030年には213億5,000万米ドルに達すると予測されています。

この市場は、様々な収束要因によって著しい成長と変貌を遂げています。この市場促進の要因として、データ主導の意思決定の採用が増加していることが挙げられます。企業は、洗練されたアナリティクスとAI機能を活用することで、大規模なデータセットを効果的に扱い、検討することができます。これらのコグニティブ技術は貴重な洞察を提供し、企業が在庫管理を強化し、需要予測を最適化し、高い精度と効果で物流業務を改善することを可能にします。

コグニティブサプライチェーンソリューションの採用は、企業のサプライチェーン・プロセスの処理方法に革命をもたらした自動化の統合に大きく影響されています。機械学習とロボティック・プロセス・オートメーション(RPA)の機能を活用することで、企業はサプライチェーン全体を通じて、多くの反復的で時間のかかる作業を自動化することができます。人工知能(AI)に特化した機械学習により、コグニティブサプライチェーンシステムは、過去のデータから洞察を吸収し、人間には気づかないパターンや動向を検出することができます。その結果、システムは正確な予測やデータに基づいた選択を行うことができます。例えば、機械学習アルゴリズムは、過去の販売データやその他の変数を分析して将来の需要を予測し、適切なタイミングで適切な在庫レベルを保証することができます。

逆に、ロボティック・プロセス・オートメーションとは、これまで人間の作業員が手作業で行っていたルールベースの作業を、ソフトウェア・ボットを使って実行することを指します。RPAは、データ入力、請求書処理、注文追跡などのタスクを迅速かつ正確に処理します。この自動化により、従業員はより価値のある戦略的な活動に集中できるようになり、組織内の生産性と効率が向上します。サプライチェーンに自動化を取り入れるメリットの1つは、運用コストを削減できることです。かつては多大な人手を必要としていた作業を自動化することで、企業はプロセスを合理化し、手作業の必要性を排除し、リソースの活用を最適化することができます。その結果、このコスト削減は企業の財務業績に大きな影響を与え、他の重要な事業分野に再投資できる資金を確保することができます。

持続可能性と環境問題への関心の高まりは、企業がサプライチェーン全体で環境に配慮した慣行を取り入れる重要な動機となっています。人工知能や機械学習のような先進技術を活用するコグニティブ・ソリューションは、企業が持続可能性の目標を達成し、環境意識の高い消費者の嗜好に応えるのを支援する上で重要な役割を果たします。コグニティブ・ソリューションが環境に優しいサプライチェーンに貢献する方法のひとつに、輸送ルートの最適化があります。輸送は温室効果ガス排出の大きな原因であり、非効率なルートは燃料消費の増加やカーボンフットプリントの増加につながる可能性があります。コグニティブ・テクノロジーは、交通状況やその他の関連要因を含む輸送データを分析し、最も効率的な配送ルートを特定することができます。移動距離を最小限に抑え、配送スケジュールを最適化することで、企業は燃料消費量と排出量を削減し、より環境に配慮したサプライチェーンを推進することができます。

コグニティブサプライチェーン市場レポート・ハイライト

  • クラウド展開セグメント市場は、そのスケーラビリティが市場で人気を集めていることから、CAGR 16.6%と大幅な成長が見込まれています。クラウドベースのソリューションにより、企業は需要の変動や進化するビジネスニーズに基づいてリソースを調整できます。
  • 企業規模別では、中小企業セグメントが主要セグメントとなり、予測期間中のCAGRが最も高くなると予想されます。同市場における中小企業セグメントの成長に寄与する主な要因の1つは、費用対効果です。中小企業は、従来のオンプレミス・ソリューションよりも初期投資が少なくて済むクラウドベースのコグニティブサプライチェーンプラットフォームにアクセスできるようになり、少ない予算でも実現可能性が高まっています。
  • 機械学習(ML)セグメントは、今後数年間で市場を独占すると予想されます。市場セグメンテーションにおけるML自動化により、企業はサプライチェーンプロセスの合理化と最適化、運用コストの削減、効率の向上、データ主導の意思決定を行うことができます。反復作業を自動化し、膨大な量のデータを分析し、パターンと競合考察を特定することで、ML駆動型ソリューションは企業が市場で優位に立つのに役立ちます。
  • アジア太平洋地域は予測期間中に高いCAGRを記録すると予測されています。アジア太平洋市場は、技術の進歩と効率的なサプライチェーンマネジメントソリューションに対する需要の急増によって、過去数年間で大幅な成長を遂げています。
  • 市場は断片化されており、IBM Corporation、Oracle、Amazon.com、Accenture plc、Intel Corporation、NVIDIA Corporation、Honeywell International Inc.

目次

第1章 調査手法と範囲

第2章 エグゼクティブサマリー

第3章 市場変数、動向、および範囲の見通し

  • 市場系統の見通し
  • コグニティブサプライチェーン市場-バリューチェーン分析
  • コグニティブサプライチェーン市場力学
  • コグニティブサプライチェーン市場- ポーターのファイブフォース分析
  • コグニティブサプライチェーン市場-PESTLE分析
  • COVID-19感染症の影響分析

第4章 コグニティブサプライチェーン市場:展開別見通し

  • コグニティブサプライチェーン市場、展開分析および市場シェア別、2022年および2030年
  • クラウド
  • オンプレミス

第5章 コグニティブサプライチェーン市場:企業規模別見通し

  • コグニティブサプライチェーン市場、企業規模分析および市場シェア別、2022年および2030年
  • 中小企業
  • 大企業

第6章 コグニティブサプライチェーン市場:使用オートメーション別見通し

  • コグニティブサプライチェーン市場、使用オートメーション分析および市場シェア別、2022年および2030年
  • モノのインターネット(IoT)
  • 機械学習(ML)
  • その他

第7章 コグニティブサプライチェーン市場:業界別展望

  • コグニティブサプライチェーン市場、業界別分析および市場シェア、2022年および2030年
  • 製造業
  • 小売とeコマース
  • 物流と輸送
  • ヘルスケア
  • 食品および飲料
  • その他

第8章 コグニティブサプライチェーン市場:地域別推定・動向分析

  • 地域別コグニティブサプライチェーン市場シェア、2022年および2030年
  • 北米
    • 展開別、2019~2030年
    • 企業規模別、2019~2030年
    • 使用オートメーション別、2019~2030年
    • 業界別、2019~2030年
    • 米国
    • カナダ
  • 欧州
    • 展開別、2019~2030年
    • 企業規模別、2019~2030年
    • 使用オートメーション別、2019~2030年
    • 業界別、2019~2030年
    • ドイツ
    • 英国
    • フランス
  • アジア太平洋
    • 展開別、2019~2030年
    • 企業規模別、2019~2030年
    • 使用オートメーション別、2019~2030年
    • 業界別、2019~2030年
    • 中国
    • 日本
    • インド
    • 韓国
    • オーストラリア
  • ラテンアメリカ
    • 展開別、2019~2030年
    • 企業規模別、2019~2030年
    • 使用オートメーション別、2019~2030年
    • 業界別、2019~2030年
    • ブラジル
    • メキシコ
  • 中東とアフリカ
    • 展開別、2019~2030年
    • 企業規模別、2019~2030年
    • 使用オートメーション別、2019~2030年
    • 業界別、2019~2030年
    • サウジアラビア
    • アラブ首長国連邦
    • 南アフリカ

第9章 コグニティブサプライチェーン市場の競合情勢

  • 主要な市場参入企業
    • IBM Corporation
    • Oracle
    • Amazon.com
    • Accenture plc
    • Intel Corporation
    • NVIDIA Corporation
    • Honeywell International Inc.
    • CH Robinson Worldwide, Inc.
    • Panasonic
    • SAP SE
  • 主要企業の市場シェア分析、2022年
  • 企業分類/ポジション分析、2022年
  • 戦略的マッピング
    • 拡大
    • 合併と買収
    • パートナーシップとコラボレーション
    • 製品/サービスの開始
図表

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
目次
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