Global AI in Supply Chain Management Market Research Report 2023(Status and Outlook)
- Published Date: 2023-09-21
- Report ID: 152170
- Pages: 250
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Format:
Report Overview
AI in supply chainhas virtually countless applications. Areas of impact within the supply chain and logistics realms include operational procurement using intelligent data and chatbots, supply chain planning to forecast demand and supply, warehouse management to optimize stock, quicker and more accurate shipping to reduce lead times and transportation expenses and optimal supplier selection through the use of real-time data.
Prudent Markets latest report provides a deep insight into the global AI in Supply Chain Management market covering all its essential aspects. This ranges from a macro overview of the market to micro details of the market size, competitive landscape, development trend, niche market, key market drivers and challenges, SWOT analysis, Porters five forces analysis, value chain analysis, etc.
The analysis helps the reader to shape the competition within the industries and strategies for the competitive environment to enhance the potential profit. Furthermore, it provides a simple framework for evaluating and accessing the position of the business organization. The report structure also focuses on the competitive landscape of the Global AI in Supply Chain Management Market, this report introduces in detail the market share, market performance, product situation, operation situation, etc. of the main players, which helps the readers in the industry to identify the main competitors and deeply understand the competition pattern of the market.
In a word, this report is a must-read for industry players, investors, researchers, consultants, business strategists, and all those who have any kind of stake or are planning to foray into the AI in Supply Chain Management market in any manner.
Global AI in Supply Chain Management Market: Market Segmentation Analysis
The research report includes specific segments by region (country), manufacturers, Type, and Application. Market segmentation creates subsets of a market based on product type, end-user or application, Geographic, and other factors. By understanding the market segments, the decision-maker can leverage this targeting in the product, sales, and marketing strategies. Market segments can power your product development cycles by informing how you create product offerings for different segments.
Key Company
Nexocode
C3 AI
ORION
Zebra Technologies
Jaggaer
Slimstock
MaxinAI
Bridgei2i
Echo Global Logistics
HAVI
TTEC
Infor
Uptake
JD Group
Market Segmentation (by Type)
Hardware Devices
Software
Market Segmentation (by Application)
Routing And Delivery Logistics
Warehouse Supply And Demand Management
Transportation Vehicles Management
Loading Management
Accounting
Geographic Segmentation
North America (USA, Canada, Mexico)
Europe (Germany, UK, France, Russia, Italy, Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Rest of Asia-Pacific)
South America (Brazil, Argentina, Columbia, Rest of South America)
The Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, South Africa, Rest of MEA)
Key Benefits of This Market Research:
Industry drivers, restraints, and opportunities covered in the study
Neutral perspective on the market performance
Recent industry trends and developments
Competitive landscape & strategies of key players
Potential & niche segments and regions exhibiting promising growth covered
Historical, current, and projected market size, in terms of value
In-depth analysis of the AI in Supply Chain Management Market
Overview of the regional outlook of the AI in Supply Chain Management Market:
Key Reasons to Buy this Report:
Access to date statistics compiled by our researchers. These provide you with historical and forecast data, which is analyzed to tell you why your market is set to change
This enables you to anticipate market changes to remain ahead of your competitors
You will be able to copy data from the Excel spreadsheet straight into your marketing plans, business presentations, or other strategic documents
The concise analysis, clear graph, and table format will enable you to pinpoint the information you require quickly
Provision of market value (USD Billion) data for each segment and sub-segment
Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market
Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the factors that are affecting the market within each region
Competitive landscape which incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions, and acquisitions in the past five years of companies profiled
Extensive company profiles comprising of company overview, company insights, product benchmarking, and SWOT analysis for the major market players
The current as well as the future market outlook of the industry concerning recent developments which involve growth opportunities and drivers as well as challenges and restraints of both emerging as well as developed regions
Includes in-depth analysis of the market from various perspectives through Porters five forces analysis
Provides insight into the market through Value Chain
Market dynamics scenario, along with growth opportunities of the market in the years to come
6-month post-sales analyst support
Customization of the Report
In case of any queries or customization requirements, please connect with our sales team, who will ensure that your requirements are met.
Chapter Outline
Chapter 1 mainly introduces the statistical scope of the report, market division standards, and market research methods.
Chapter 2 is an executive summary of different market segments (by region, product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the AI in Supply Chain Management Market and its likely evolution in the short to mid-term, and long term.
Chapter 3 makes a detailed analysis of the market's competitive landscape of the market and provides the market share, capacity, output, price, latest development plan, merger, and acquisition information of the main manufacturers in the market.
Chapter 4 is the analysis of the whole market industrial chain, including the upstream and downstream of the industry, as well as Porter's five forces analysis.
Chapter 5 introduces the latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 6 provides the analysis of various market segments according to product types, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 7 provides the analysis of various market segments according to application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 8 provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 9 introduces the basic situation of the main companies in the market in detail, including product sales revenue, sales volume, price, gross profit margin, market share, product introduction, recent development, etc.
Chapter 10 provides a quantitative analysis of the market size and development potential of each region in the next five years.
Chapter 11 provides a quantitative analysis of the market size and development potential of each market segment (product type and application) in the next five years.
Chapter 12 is the main points and conclusions of the report.
Table of Contents
1 Research Methodology and Statistical Scope
1.1 Market Definition and Statistical Scope of AI in Supply Chain Management
1.2 Key Market Segments
1.2.1 AI in Supply Chain Management Segment by Type
1.2.2 AI in Supply Chain Management Segment by Application
1.3 Methodology & Sources of Information
1.3.1 Research Methodology
1.3.2 Research Process
1.3.3 Market Breakdown and Data Triangulation
1.3.4 Base Year
1.3.5 Report Assumptions & Caveats
2 AI in Supply Chain Management Market Overview
2.1 Global AI in Supply Chain Management Market Size (M USD) Estimates and Forecasts (2018-2029)
2.2 Market Segment Executive Summary
2.3 Global Market Size by Region
3 AI in Supply Chain Management Market Competitive Landscape
3.1 Global AI in Supply Chain Management Revenue Market Share by Manufacturers (2018-2023)
3.2 AI in Supply Chain Management Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Manufacturers AI in Supply Chain Management Sales Sites, Area Served, Service Type
3.4 AI in Supply Chain Management Market Competitive Situation and Trends
3.4.1 AI in Supply Chain Management Market Concentration Rate
3.4.2 Global 5 and 10 Largest AI in Supply Chain Management Players Market Share by Revenue
3.4.3 Mergers & Acquisitions, Expansion
4 AI in Supply Chain Management Value Chain Analysis
4.1 AI in Supply Chain Management Value Chain Analysis
4.2 Midstream Market Analysis
4.3 Downstream Customer Analysis
5 The Development and Dynamics of AI in Supply Chain Management Market
5.1 Key Development Trends
5.2 Driving Factors
5.3 Market Challenges
5.4 Market Restraints
5.5 Industry News
5.5.1 Mergers & Acquisitions
5.5.2 Expansions
5.5.3 Collaboration/Supply Contracts
5.6 Industry Policies
6 AI in Supply Chain Management Market Segmentation by Type
6.1 Evaluation Matrix of Segment Market Development Potential (Type)
6.2 Global AI in Supply Chain Management Market Size Market Share by Type (2018-2023)
6.3 Global AI in Supply Chain Management Sales Growth Rate by Type (2019-2023)
7 AI in Supply Chain Management Market Segmentation by Application
7.1 Evaluation Matrix of Segment Market Development Potential (Application)
7.2 Global AI in Supply Chain Management Market Size (M USD) by Application (2018-2023)
7.3 Global AI in Supply Chain Management Sales Growth Rate by Application (2019-2023)
8 AI in Supply Chain Management Market Segmentation by Region
8.1 Global AI in Supply Chain Management Market Size by Region
8.1.1 Global AI in Supply Chain Management Market Size by Region
8.1.2 Global AI in Supply Chain Management Market Share by Region
8.2 North America
8.2.1 North America AI in Supply Chain Management Market Size by Country
8.2.2 U.S.
8.2.3 Canada
8.2.4 Mexico
8.3 Europe
8.3.1 Europe AI in Supply Chain Management Market Size by Country
8.3.2 Germany
8.3.3 France
8.3.4 U.K.
8.3.5 Italy
8.3.6 Russia
8.4 Asia Pacific
8.4.1 Asia Pacific AI in Supply Chain Management Market Size by Region
8.4.2 China
8.4.3 Japan
8.4.4 South Korea
8.4.5 India
8.4.6 Southeast Asia
8.5 South America
8.5.1 South America AI in Supply Chain Management Market Size by Country
8.5.2 Brazil
8.5.3 Argentina
8.5.4 Columbia
8.6 Middle East and Africa
8.6.1 Middle East and Africa AI in Supply Chain Management Market Size by Region
8.6.2 Saudi Arabia
8.6.3 UAE
8.6.4 Egypt
8.6.5 Nigeria
8.6.6 South Africa
9 Key Companies Profile
9.1 Nexocode
9.1.1 Nexocode AI in Supply Chain Management Basic Information
9.1.2 Nexocode AI in Supply Chain Management Product Overview
9.1.3 Nexocode AI in Supply Chain Management Product Market Performance
9.1.4 Nexocode Business Overview
9.1.5 Nexocode AI in Supply Chain Management SWOT Analysis
9.1.6 Nexocode Recent Developments
9.2 C3 AI
9.2.1 C3 AI AI in Supply Chain Management Basic Information
9.2.2 C3 AI AI in Supply Chain Management Product Overview
9.2.3 C3 AI AI in Supply Chain Management Product Market Performance
9.2.4 C3 AI Business Overview
9.2.5 C3 AI AI in Supply Chain Management SWOT Analysis
9.2.6 C3 AI Recent Developments
9.3 ORION
9.3.1 ORION AI in Supply Chain Management Basic Information
9.3.2 ORION AI in Supply Chain Management Product Overview
9.3.3 ORION AI in Supply Chain Management Product Market Performance
9.3.4 ORION Business Overview
9.3.5 ORION AI in Supply Chain Management SWOT Analysis
9.3.6 ORION Recent Developments
9.4 Zebra Technologies
9.4.1 Zebra Technologies AI in Supply Chain Management Basic Information
9.4.2 Zebra Technologies AI in Supply Chain Management Product Overview
9.4.3 Zebra Technologies AI in Supply Chain Management Product Market Performance
9.4.4 Zebra Technologies Business Overview
9.4.5 Zebra Technologies Recent Developments
9.5 Jaggaer
9.5.1 Jaggaer AI in Supply Chain Management Basic Information
9.5.2 Jaggaer AI in Supply Chain Management Product Overview
9.5.3 Jaggaer AI in Supply Chain Management Product Market Performance
9.5.4 Jaggaer Business Overview
9.5.5 Jaggaer Recent Developments
9.6 Slimstock
9.6.1 Slimstock AI in Supply Chain Management Basic Information
9.6.2 Slimstock AI in Supply Chain Management Product Overview
9.6.3 Slimstock AI in Supply Chain Management Product Market Performance
9.6.4 Slimstock Business Overview
9.6.5 Slimstock Recent Developments
9.7 MaxinAI
9.7.1 MaxinAI AI in Supply Chain Management Basic Information
9.7.2 MaxinAI AI in Supply Chain Management Product Overview
9.7.3 MaxinAI AI in Supply Chain Management Product Market Performance
9.7.4 MaxinAI Business Overview
9.7.5 MaxinAI Recent Developments
9.8 Bridgei2i
9.8.1 Bridgei2i AI in Supply Chain Management Basic Information
9.8.2 Bridgei2i AI in Supply Chain Management Product Overview
9.8.3 Bridgei2i AI in Supply Chain Management Product Market Performance
9.8.4 Bridgei2i Business Overview
9.8.5 Bridgei2i Recent Developments
9.9 Echo Global Logistics
9.9.1 Echo Global Logistics AI in Supply Chain Management Basic Information
9.9.2 Echo Global Logistics AI in Supply Chain Management Product Overview
9.9.3 Echo Global Logistics AI in Supply Chain Management Product Market Performance
9.9.4 Echo Global Logistics Business Overview
9.9.5 Echo Global Logistics Recent Developments
9.10 HAVI
9.10.1 HAVI AI in Supply Chain Management Basic Information
9.10.2 HAVI AI in Supply Chain Management Product Overview
9.10.3 HAVI AI in Supply Chain Management Product Market Performance
9.10.4 HAVI Business Overview
9.10.5 HAVI Recent Developments
9.11 TTEC
9.11.1 TTEC AI in Supply Chain Management Basic Information
9.11.2 TTEC AI in Supply Chain Management Product Overview
9.11.3 TTEC AI in Supply Chain Management Product Market Performance
9.11.4 TTEC Business Overview
9.11.5 TTEC Recent Developments
9.12 Infor
9.12.1 Infor AI in Supply Chain Management Basic Information
9.12.2 Infor AI in Supply Chain Management Product Overview
9.12.3 Infor AI in Supply Chain Management Product Market Performance
9.12.4 Infor Business Overview
9.12.5 Infor Recent Developments
9.13 Uptake
9.13.1 Uptake AI in Supply Chain Management Basic Information
9.13.2 Uptake AI in Supply Chain Management Product Overview
9.13.3 Uptake AI in Supply Chain Management Product Market Performance
9.13.4 Uptake Business Overview
9.13.5 Uptake Recent Developments
9.14 JD Group
9.14.1 JD Group AI in Supply Chain Management Basic Information
9.14.2 JD Group AI in Supply Chain Management Product Overview
9.14.3 JD Group AI in Supply Chain Management Product Market Performance
9.14.4 JD Group Business Overview
9.14.5 JD Group Recent Developments
10 AI in Supply Chain Management Regional Market Forecast
10.1 Global AI in Supply Chain Management Market Size Forecast
10.2 Global AI in Supply Chain Management Market Forecast by Region
10.2.1 North America Market Size Forecast by Country
10.2.2 Europe AI in Supply Chain Management Market Size Forecast by Country
10.2.3 Asia Pacific AI in Supply Chain Management Market Size Forecast by Region
10.2.4 South America AI in Supply Chain Management Market Size Forecast by Country
10.2.5 Middle East and Africa Forecasted Consumption of AI in Supply Chain Management by Country
11 Forecast Market by Type and by Application (2024-2029)
11.1 Global AI in Supply Chain Management Market Forecast by Type (2024-2029)
11.2 Global AI in Supply Chain Management Market Forecast by Application (2024-2029)
12 Conclusion and Key Findings
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