Report of Content
Chapter 1 Methodology & Scope
1.1 Market scope & definition
1.2 Base estimates & calculations
1.3 Forecast calculation
1.4 Data sources
1.4.1 Primary
1.4.2 Secondary
1.4.2.1 Paid sources
1.4.2.2 Public sources
Chapter 2 Executive Summary
2.1 cognitive supply chain market 3600 synopsis, 2018 - 2032
2.2 Business trends
2.3 Regional trends
2.4 Offering trends
2.5 Deployment model trends
2.6 Enterprise size trends
2.7 End use trends
Chapter 3 Cognitive Supply Chain Industry Insights
3.1 Impact of COVID-19
3.2 Impact of the Russia-Ukraine war
3.3 Industry ecosystem analysis
3.4 Vendor matrix
3.5 Profit margin analysis
3.6 Deployment model & innovation landscape
3.7 Patent analysis
3.8 Key news and initiatives
3.8.1 Partnership/Collaboration
3.8.2 Merger/Acquisition
3.8.3 Investment
3.8.4 Enterprise size launch & innovation
3.9 Regulatory landscape
3.10 Impact forces
3.10.1 Growth drivers
3.10.1.1 Growing e-commerce industry in Asia Pacific
3.10.1.2 Increasing global adoption of Artificial Intelligence (AI) and Machine Learning (ML)
3.10.1.3 Prominent technology players entering the market
3.10.1.4 Rising demand for automation in North America and Europe
3.10.2 Industry pitfalls & challenges
3.10.2.1 High cost of development and deployment
3.10.2.2 Data security concerns
3.11 Growth potential analysis
3.12 Porter’s analysis
3.13 PESTEL analysis
Chapter 4 Competitive Landscape, 2022
4.1 Introduction
4.2 Company market share, 2022
4.3 Competitive analysis of major market players, 2022
4.3.1 IBM Corporation
4.3.2 Oracle
4.3.3 Amazon.com
4.3.4 Accenture plc
4.3.5 Intel Corporation
4.3.6 NVIDIA Corporation
4.3.7 Honeywell International Inc.
4.4 Competitive positioning matrix, 2022
4.5 Strategic outlook matrix, 2022
Chapter 5 Cognitive Supply Chain Market Estimates & Forecast, By Offering
5.1 Key trends, by offering
5.2 Solutions
5.2.1 Forecasting
5.2.2 Analytics
5.2.3 Inventory management
5.2.4 Risk management
5.2.5 Others
5.3 Services
Chapter 6 Cognitive Supply Chain Market Estimates & Forecast, By Deployment model
6.1 Key trends, by deployment model
6.1.1 Cloud
6.1.2 On-premise
Chapter 7 Cognitive Supply Chain Market Estimates & Forecast, By Enterprise size
7.1 Key trends, by enterprise size
7.1.1 SME
7.1.2 Large Enterprise
Chapter 8 Cognitive Supply Chain Market Estimates & Forecast, By End use
8.1 Key trends, by end use
8.2 Manufacturing
8.3 Automotive
8.4 Retail & E-commerce
8.5 Logistics & transportation
8.6 Healthcare
8.7 Food & Beverages
8.8 Others
Chapter 9 Cognitive Supply Chain Market Estimates & Forecast, By Region
9.1 Key trends, by region
9.2 North America
9.2.1 U.S.
9.2.2 Canada
9.3 Europe
9.3.1 U.K.
9.3.2 Germany
9.3.3 France
9.3.4 Italy
9.3.5 Spain
9.3.6 Netherlands
9.4 Asia Pacific
9.4.1 China
9.4.2 India
9.4.3 Japan
9.4.4 South Korea
9.4.5 ANZ
9.4.6 Southeast Asia
9.5 Latin America
9.5.1 Brazil
9.5.2 Mexico
9.5.3 Argentina
9.5.4 Colombia
9.6 MEA
9.6.1 UAE
9.6.2 South Africa
9.6.3 Saudi Arabia
Chapter 10 Company Profiles
10.1 Accenture plc
10.2 Amazon.com
10.3 Antuit
10.4 C.H. Robinson Worldwide, Inc.
10.5 Flexport
10.6 Fourkites
10.7 Honeywell International Inc.
10.8 IBM Corporation
10.9 Intel Corporation
10.10 JDA Software
10.11 Kinaxis
10.12 Llamasoft
10.13 Microsoft
10.14 NVIDIA Corporation
10.15 Oracle
10.16 Panasonic
10.17 Relex Solutions
10.18 SAP SE
10.19 Uptake
10.20 Wise Systems
