Artificial Intelligence in Inventory Management Market Ecosystem By Deployment; By Offering; By Technology; By Components; By Devices; By Application; By End-use (Retail, Healthcare, Automotive, Oil & Gas, Aerospace & Defense, Others); By Region & Forecast 2023

Date : Aug 2020

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Report ID : 388

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Category : Information Technology

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Report Format:  PDF EXCEL PPT WORD

Artificial Intelligence (AI) in inventory management market was valued at US$ 1,670.3 Million in 2018 and is expected to reach US$ XX Million by the end of the forecast period (2016-2023), expanding at a CAGR of 26.30%. Several organizations across end-use industries have found it difficult to cope with rising operational costs, reducing sales, dissatisfied customers, and several such issues. In order to overcome such issues, the adoption of AI in inventory management has become imperative.

AI is equipped with computing techniques that help select and analyze large quantities of data collected from inventory management operations. Several organizations are focusing on digitizing their supply chain processes using AI. Augmenting the efficiency of supply chain operations is the key focus area for several organizations across end-use industries such as retail, automotive, and healthcare, among others. Owing to the penetration of artificial intelligence, many organizations are adopting this technology to ramp up their supply chain operations and thereby, increase profitability and reshape their businesses.

The success of artificial intelligence in accelerating business processes has attracted significant investments as well. For instance, in 2018, the government of Quebec has reportedly invested approximately US$ 60 Mn for supporting AI-enabled supply chain supercluster. In the same year, the Canadian government invested approximately US$ 230 Mn for supporting AI-enabled supply chain supercluster. Such investments have greatly improved the supply chain operations of several organizations across end-use industries. Machine learning integrated in inventory management helps in warehouse management through predictive abilities that can forecast the future demand and supply appropriately. Integrating machine learning technologies into supply chain operations will help project the best possible scenarios based on intelligent algorithms and machine-enabled analysis of huge data sets.

Artificial Intelligence in Inventory Management Market Ecosystem Snapshot

AI in Inventory Management Ecosystem

Based on end-use industries, retail captured a fair chunk of the market in 2018 and is expected to display similar trends in the coming years as well. AI has made a stark difference in optimizing retail supply chain, as the need for fast delivery to shops and end-customers has intensified over the past few years. Artificial intelligence allows retailers to understand the proper operations of how their inventory is being managed, and It suggests improvements and reduces overhead costs and waste. Implementing artificial intelligence in inventory management functions could help retailers save approximately US$ 350 Bn yearly. Further, the implementation of artificial intelligence has also resulted in a reduction in operational costs by about 35%.

The rapid adoption of artificial intelligence in inventory management market in the retail sector is being driven by some external pressures. Retailers are rapidly adopting AI in their inventory management processes in order to retain their business. Faster delivery with the help of AI and machine learning technologies has become a major differentiating factor for winning businesses. This rapid adoption of AI in inventory management processes has led to several retailers offering same-day delivery, and more retailers are expected to come up with similar offers in the coming years.

Artificial Intelligence in Inventory Management Market Segmentation

End-use Industries

Application

Devices

Components

Technology

Offering

Deployment

Retail

Intelligent Robotic Sorting/Visual Inspection

Smartphones & Devices

GPU

Machine Learning

Solutions

Cloud

Healthcare

Warehouse Management

HUD/Dashboard Screens

CPU

Natural Language Processing

Services

On-premise

Automotive

Supply Chain Planning

Workstations

ASIC/

Microprocessors/

Microcontrollers

Context Awareness

 

 

Oil & Gas

Risk Management/Network Management

Autonomous Robots

FPGA

Computer Vision

 

 

Aerospace & Defense

Freight Brokerage

Surveillance Systems

Memory

Others

 

 

Others

Fleet Management

UAVs/Drones

Storage

 

 

 

 

Intelligent Route Optimization

Others

Modules

 

 

 

 

Predictive Demand & Capacity Planning

 

 

 

 

 

 

Others

 

 

 

 

 

Based on regions, North America dominated the global market for AI in inventory management and is expected to display similar trends in the coming years as well. Asia Pacific is expected to display higher growth during the forecast period, with China, India, and Japan spearheading the growth of the market. China, for instance, is gearing itself to become the global superpower for artificial intelligence. AI is expected to upgrade and connect the entire country across all industries by 2025. The implementation of AI will control companies and help produce goods while keeping the demand and supply gap in check. The retail industry in China is gearing up for a dramatic change as well. The industry is shifting towards a new concept known as ‘New Retail’, which is an amalgamation of online and offline retail. The integration of AI in new retail in China will allow retailers to augment business efficiency and provide a much better shopping experience to customers. These factors are expected to support the growth of the AI in inventory management market in China in the coming years.

There are many trends that are having an impact on the market forecast. These, when evaluated from a company’s perspective, can drive growth. Our numerous consulting projects have generated sizeable synergies across all regions and all sizes of companies.

The major players operating in the Global AI in Inventory Management Market Ecosystem are as follows:

Company

Ecosystem Positioning

Total Revenue

Industry

Region

Microsoft Corporation

Solutions Provider

$110.4 Billion

Artificial Intelligence

Global

Google LLC

Solutions Provider

$136.22 Billion

Artificial Intelligence

Global

SAP S.E.

Solutions Provider

$27.43 Billion

Artificial Intelligence

Global

Salesforce.com, Inc.

Solutions Provider

$10.54 Billion

Artificial Intelligence

Global

Amazon.com, Inc.

Solutions Provider

$232.89 Billion

Artificial Intelligence

Global

Very few markets have the interconnectivity with other markets like AI. Our Interconnectivity module focuses on the key nodes of heterogenous markets in detail. AI Processors, Deep Learning, GPU, and Autonomous Robots, are some of our key researched markets

AI in Inventory Management Market Ecosystem Major Interconnectivities

AI in Inventory Management Ecosystem

A Glance on Global AI in Inventory Management Market Ecosystem Trends:

Trends

Application

Technology

Machine learning algorithms and the apps running them can analyze large and diverse data sets that improves the demand forecast accuracy

Predictive Demand & Capacity Planning

Machine Learning

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Ecosystem Report – Table of Content

  1. Introduction
    1. Global AI in Inventory Management Ecosystem Definition
    2. Scope of study 
    3. About FABRIC

Customizations

  1. Ask for Customization
    1. Sensitivity Analysis
    2. TAM SAM SOM Analysis
    3. Other Customization
  2. Executive Summary
    1. Global Market Segmentation
    2. Global Market Overview
    3. Global Market Statistics
    4. Mega Trends
    5. Competitive Landscape
      1. SWOT
      2. PEST
      3. Company Ranking
    6. Market Attractiveness

Ecosystem Positioning

  1. Global AI in Inventory Management Ecosystem Snapshot
    1. Global AI in Inventory Management Ecosystem Broad Heads
      1. Demand Side
      2. Supply Side 
    2. Global AI in Inventory Management Ecosystem Segmentation
      1.   By End-use Industries
        1. Retail
        2. Healthcare
        3. Automotive
        4. Oil & Gas
        5. Aerospace & Defense
        6. Others
      2. By Application
        1. Intelligent Robotic Sorting/Visual Inspection
        2. Warehouse Management
        3. Supply Chain Planning
        4. Risk Management/Network Management
        5. Freight Brokerage
        6. Fleet Management
        7. Intelligent Route Optimization
        8. Predictive Demand & Capacity Planning
        9. Others
      3. By Device
        1. Smartphones & Tablets
        2. HUD/Dashboard Screens
        3. Workstations
        4. Autonomous Robots
        5. Surveillance Systems
        6. UAV’s/Drones
        7. Others
      4. By Components
        1. GPU
        2. CPU
        3. ASIC/Microprocessors/Microcontrollers
        4. FPGA
        5. Memory
        6. Storage
        7. Modules
      5. By Technology
        1. Machine Learning
        2. Natural Language Processing
        3. Computer Vision
        4. Context Awareness
        5. Others
      6. By Offering
        1. Solutions
        2. Services
      7. By Deployment
        1. Cloud
        2. On-premise
      8. By Region
        1. North America
          1. U.S.
          2. Canada
          3. Mexico
        2. Asia Pacific
          1. China
          2. Japan
          3. India
          4. Australia
          5. South Korea
          6. Rest of APAC
        3. Europe
          1. UK
          2. France
          3. Germany
          4. Italy
          5. Spain
          6. Rest of Europe
        4. Rest of world
          1. LATAM
          2. MEA
  2. Competitive Landscape Mapping by Ecosystem Positioning
    1. Company by each node
    2. Vendor Landscaping
  3. Ecosystem Level Analysis

Trend Analysis

  1. Global AI in Inventory Management Ecosystem Trends
    1. Trend Mapping
      1. Trend Description
      2. Trend Evaluation
        1. Impact
        2. Importance
        3. Remarks
      3. Trend Outlook (Short, Mid, Long Term)
      4. Trend Company Mapping
      5. Related Global AI in Inventory Management Ecosystem Mapping
      6. Trend Region/Country Mapping

Global AI in Inventory Management Ecosystem Regulatory Analysis

  1. Overview
    1. Regulatory Mapping
    2. Regulatory Impact
    3. Regulatory Interlinkage

Global AI in Inventory Management Ecosystem Sizing, Volume and ASP Analysis & Forecast

  1. Global AI in Inventory Management Ecosystem Sizing & Volume
    1. Cross-segmentation
    2. Global AI in Inventory Management Ecosystem Sizing and Global AI in Inventory Management Ecosystem Forecast
    3. Global AI in Inventory Management Ecosystem Volume Analysis
    4. Average Selling Price Analysis
    5. Global AI in Inventory Management Ecosystem Growth Analysis

Competitive Intelligence

  1. Competitive Intelligence
    1. Top Industry Players vs Trend Tagging
        1. Importance
        2. Trend Nature (Positive/ Negative)
        3. Value
        4. Interconnectivity for each vendor
    2. Global AI in Inventory Management Ecosystem Share Analysis
        1. By Each Node
    3. Strategies Adopted by Global AI in Inventory Management Ecosystem participants
        1. Global AI in Inventory Management Ecosystem Strategies
        2. New product launch Strategies
        3. Geographic Expansion Strategies
        4. Product-line Expansion Strategies
        5. Operational / Efficiency building Strategies
        6. Other Strategies

Company Profiles

  1. Company Profiling Summary
    1. Company List & Fundamentals
    2. Ecosystem Positioning
  2. Company Profiles - including the:
    1. Microsoft Corporation
      1. Company Fundamentals
      2. Subsidiaries list
      3. Share Holding Pattern
      4. Key Employees and Board of Directors
      5. Financial Analysis
        1. Financial Summary
        2. Ratio Analysis
        3. Valuation Metrics
      6. Product & Services
      7. Client & Strategies
      8. Ecosystem Presence
      9. SWOT
      10. Trends Mapping
      11. Analyst Views
    2. Google LLC
    3. SAP S.E.
    4. Salesforce.com, Inc.
    5. Amazon.com, Inc.
    6. DHL International GmbH
    7. FedEx Corporation
    8. Hitachi Ltd.
    9. United Parcel Service (UPS)
    10. Walmart Inc.
    11. Costco Wholesale Corporation
    12. Carrefour S.A.
    13. The Kroger Company
    14. XPO Logistics
    15. SNCF Group
    16. Symbotic
    17. CJ Logistics
    18. IBM Corporation
    19. NVIDIA Corporation
    20. Intel Corporation

Global AI in Inventory Management Ecosystem Developments

  1. Global AI in Inventory Management Ecosystem Events & Rationale
    1. R&D, Technology and Innovation
    2. Business & Corporate advancements
    3. M&A, JVs/Partnerships
    4.  Political, Macro-economic, Regulatory
    5.  Awards & Recognition
    6. Others

Research Methodology & Approach

  1. Research Methodology and Approach
    1. Assumptions/ Inferences
    2. Sources
      1. Primary Interviews
      2. Secondary Sources
        1. Key Secondary Webpages
        2. Whitepapers
        3. Annual Reports
        4. Investor/Analyst Presentations
    3. Appendix
    4. Contact

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