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Market Snapshot

CAGR:6.18

2023

2032

Source: Market Expertz

Study Period	2019-2032
Base Year	2023
Forcast Year	2023-2032
CAGR	6.18

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Report Overview

AI in Supply Chain & Logistics Market Analysis Report 2023-2032

The AI in Supply Chain & Logistics Market is poised for significant growth, with a projected Compound Annual Growth Rate (CAGR) of 7.8% between 2022 and 2032. Over this period, the market size is anticipated to experience a substantial increase of USD 2,420.34 million. This growth is attributed to several key factors, including the increasing complexity of supply chains, rising demand for efficiency, and the need for real-time data analysis. AI technologies are transforming supply chain and logistics management by providing insights, automation, and optimization.

AI in Supply Chain & Logistics Market Overview

Drivers:

One of the primary drivers behind the expansion of the AI in Supply Chain & Logistics Market is the growing complexity of supply chain networks. Modern supply chains involve multiple stakeholders, intricate routes, and vast amounts of data. AI technologies can analyze this data and provide insights that help streamline operations, reduce costs, and improve customer satisfaction.

Additionally, there is a rising demand for efficiency in logistics. AI-driven solutions can optimize routes, predict maintenance needs for vehicles and equipment, and enhance inventory management. This increased efficiency leads to cost savings and a competitive edge for companies.

Trends:

A significant trend influencing the AI in Supply Chain & Logistics Market is the adoption of AI for demand forecasting. Machine learning algorithms can analyze historical data, customer trends, and market factors to make accurate predictions about future demand. This aids companies in managing inventory effectively and reducing stockouts or overstock situations.

Another notable trend is the use of AI in predictive maintenance. AI can monitor the condition of vehicles, machinery, and equipment and provide maintenance alerts before a breakdown occurs. This minimizes downtime and reduces maintenance costs.

Restraints:

One of the main challenges in the AI in Supply Chain & Logistics Market is the initial investment required for implementing AI solutions. While the long-term benefits are significant, companies may hesitate due to the upfront costs. However, the cost savings and efficiency gains often outweigh the initial expenses.

Data security and privacy concerns also act as restraints. AI systems require access to sensitive data, and companies must ensure that this data is protected from cyber threats and unauthorized access.

AI in Supply Chain & Logistics Market Segmentation By Application

Inventory Management is expected to be a prominent growth segment within the AI in Supply Chain & Logistics Market. AI-driven solutions can optimize inventory levels, reduce carrying costs, and ensure that products are available when needed.

Route Optimization is another significant application segment. AI can calculate the most efficient routes for transportation, minimizing fuel consumption and delivery times.

AI in Supply Chain & Logistics Market Segmentation By AI Technology

Machine Learning and Deep Learning are projected to experience significant growth during the forecast period. These AI technologies are used for data analysis, demand forecasting, and route optimization.

Natural Language Processing (NLP) is another crucial AI technology within the AI in Supply Chain & Logistics Market. NLP is employed for chatbots, customer service automation, and data analysis from unstructured sources like customer feedback.

Regional Overview:

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North America is expected to be a key driver of the global AI in Supply Chain & Logistics Market, with the United States and Canada leading the way. These countries have been early adopters of AI technologies in logistics to enhance efficiency and stay competitive.

Europe is another significant market, with countries like the United Kingdom, Germany, and France embracing AI in logistics to manage complex supply chains effectively.

APAC is a rapidly growing market, with countries like China, India, and Japan incorporating AI to meet the demands of their rapidly expanding e-commerce and retail sectors.

Latin America and the Middle East & Africa are also witnessing growth in the AI in Supply Chain & Logistics Market as companies realize the potential of AI in improving their logistics operations.

AI in Supply Chain & Logistics Market Customer Landscape

The AI in Supply Chain & Logistics Market report provides insights into the customer landscape, ranging from large multinational corporations to small and medium-sized enterprises. It explores adoption rates and preferences based on industry and geographic location. Understanding these customer dynamics is crucial for AI technology providers to tailor their products and services effectively.

Major AI in Supply Chain & Logistics Market Companies

Prominent players in the AI in Supply Chain & Logistics Market are implementing various strategies to strengthen their market presence. These strategies include strategic collaborations, mergers and acquisitions, the introduction of innovative AI solutions, geographic expansion, and advancements in AI technology.

Sample list of major companies in the market:

AI Logistics Corporation
SupplyChain AI
OptiLogix
LogiNext
Llamasoft

Qualitative and quantitative analyses of these companies provide valuable insights into the competitive landscape, enabling stakeholders to understand market dynamics and assess the strengths and weaknesses of key players.

Segment Overview

The AI in Supply Chain & Logistics Market report offers revenue forecasts on a global, regional, and country level. It also includes an analysis of emerging trends and growth opportunities spanning from 2019 to 2032.

Application Outlook (USD Million, 2019 - 2032)

Inventory Management
Route Optimization
Others

AI Technology Outlook (USD Million, 2019 - 2032)

Machine Learning and Deep Learning
Natural Language Processing (NLP)
Others

Geography Outlook (USD Million, 2019 - 2032)

North America

United States
Canada

Europe

United Kingdom
Germany
France
Rest of Europe

APAC

China
Japan
India
Rest of APAC

Latin America

Brazil
Mexico
Rest of Latin America

Middle East & Africa

United Arab Emirates
South Africa
Rest of Middle East & Africa

TABLE OF CONTENTS: GLOBAL AI in Supply Chain & Logistics MARKET

Chapter 1. MARKET SYNOPSIS

1.1. Market Definition

1.2. Research Scope & Premise

1.3. Methodology

1.4. Market Estimation Technique

Chapter 2. EXECUTIVE SUMMARY

2.1. Summary Snapshot, 2016 – 2027

Chapter 3. INDICATIVE METRICS

3.1. Macro Indicators

Chapter 4. AI in Supply Chain & Logistics MARKET SEGMENTATION & IMPACT ANALYSIS

4.1. AI in Supply Chain & Logistics Segmentation Analysis

4.2. Industrial Outlook

4.3. Price Trend Analysis

4.4. Regulatory Framework

4.5. Porter’s Five Forces Analysis

4.5.1. Power Of Suppliers

4.5.2. Power Of Buyers

4.5.3. Threat Of Substitutes

4.5.4. Threat Of New Entrants

4.5.5. Competitive Rivalry

Chapter 5. Change AI in Supply Chain & Logistics MARKET BY component INSIGHTS & TRENDS

5.1. Segment 1 Dynamics & Market Share, 2019 & 2027

5.2. Hardware

5.2.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

5.2.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

5.3. Software

5.3.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

5.3.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

5.4. Services

5.4.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

5.4.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

Chapter 6. AI in Supply Chain & Logistics MARKET BY technology INSIGHTS & TRENDS

6.1. Segment 2 Dynamics & Market Share, 2019 & 2027

6.2. Machine Learning

6.2.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

6.2.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

6.3. NLP

6.3.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

6.3.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

6.4. Context Aware Computing

6.4.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

6.4.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

6.5. Computer Vision

6.5.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

6.5.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

Chapter 7. AI in Supply Chain & Logistics MARKET REGIONAL OUTLOOK

7.1. AI in Supply Chain & Logistics Market Share By Region, 2019 & 2027

7.2. NORTH AMERICA

7.2.1. North America AI in Supply Chain & Logistics Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.2.2. North America AI in Supply Chain & Logistics Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.2.3. North America AI in Supply Chain & Logistics Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.2.4. North America AI in Supply Chain & Logistics Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.2.5. U.S.

7.2.5.1. U.S AI in Supply Chain & Logistics Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.2.5.2. U.S. AI in Supply Chain & Logistics Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.2.5.3. U.S. AI in Supply Chain & Logistics Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.2.5.4. U.S. AI in Supply Chain & Logistics Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.2.6. CANADA

7.2.6.1. Canada AI in Supply Chain & Logistics Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.2.6.2. Canada AI in Supply Chain & Logistics Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.2.6.3. Canada AI in Supply Chain & Logistics Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.2.6.4. Canada AI in Supply Chain & Logistics Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.3. EUROPE

7.3.1. Europe AI in Supply Chain & Logistics Estimates And Forecast, 2016 – 2027, (USD Million)

7.3.2. Europe AI in Supply Chain & Logistics Estimates And Forecast By Segment 1, 2016 –2027, (USD Million

7.3.3. Europe AI in Supply Chain & Logistics Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.3.4. Europe AI in Supply Chain & Logistics Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.3.5. GERMANY

7.3.5.1. Germany AI in Supply Chain & Logistics Estimates And Forecast, 2016 – 2027, (USD Million)

7.3.5.2. Germany AI in Supply Chain & Logistics Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.3.5.3. Germany AI in Supply Chain & Logistics Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.3.5.4. Germany AI in Supply Chain & Logistics Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.3.6. FRANCE

7.3.6.1. France AI in Supply Chain & Logistics Estimates And Forecast, 2016 – 2027, (USD Million)

7.3.6.2. France AI in Supply Chain & Logistics Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.3.6.3. France AI in Supply Chain & Logistics Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.3.6.4. France AI in Supply Chain & Logistics Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.3.7. U.K.

7.3.7.1. U.K. AI in Supply Chain & Logistics Estimates And Forecast, 2016 – 2027, (USD Million)

7.3.7.2. U.K. AI in Supply Chain & Logistics Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.3.7.3. U.K. AI in Supply Chain & Logistics Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.3.7.4. U.K AI in Supply Chain & Logistics Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.4. ASIA-PACIFIC

7.4.1. Asia Pacific AI in Supply Chain & Logistics Estimates And Forecast, 2016 – 2027, (USD Million)

7.4.2. Asia Pacific AI in Supply Chain & Logistics Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.4.3. Asia Pacific AI in Supply Chain & Logistics Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.4.4. Asia Pacific AI in Supply Chain & Logistics Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4.5. CHINA

7.4.5.1. China AI in Supply Chain & Logistics Estimates And Forecast, 2016 – 2027, (USD Million)

7.4.5.2. China AI in Supply Chain & Logistics Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.4.5.3. China AI in Supply Chain & Logistics Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.4.5.4. China AI in Supply Chain & Logistics Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4.6. INDIA

7.4.6.1. India AI in Supply Chain & Logistics Estimates And Forecast, 2016 – 2027, (USD Million)

7.4.6.2. India AI in Supply Chain & Logistics Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.4.6.3. India AI in Supply Chain & Logistics Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.4.6.4. India AI in Supply Chain & Logistics Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4.7. JAPAN

7.4.7.1. Japan AI in Supply Chain & Logistics Estimates And Forecast, 2016 – 2027, (USD Million)

7.4.7.2. Japan AI in Supply Chain & Logistics Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.4.7.3. Japan AI in Supply Chain & Logistics Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.4.7.4. Japan AI in Supply Chain & Logistics Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4.8. AUSTRALIA

7.4.8.1. Australia AI in Supply Chain & Logistics Estimates And Forecast, 2016 – 2027, (USD Million)

7.4.8.2. Australia AI in Supply Chain & Logistics Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.4.8.3. Australia AI in Supply Chain & Logistics Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.4.8.4. Australia AI in Supply Chain & Logistics Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.5. MIDDLE EAST AND AFRICA (MEA)

7.5.1. Mea AI in Supply Chain & Logistics Estimates And Forecast, 2016 – 2027, (USD Million)

7.5.2. Mea AI in Supply Chain & Logistics Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.5.3. Mea AI in Supply Chain & Logistics Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.5.4. Mea AI in Supply Chain & Logistics Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.6. LATIN AMERICA

7.6.1. Latin America AI in Supply Chain & Logistics Estimates And Forecast, 2016 – 2027, (USD Million)

7.6.2. Latin America AI in Supply Chain & Logistics Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.6.3. Latin America AI in Supply Chain & Logistics Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.6.4. Latin America AI in Supply Chain & Logistics Estimates And Forecast By Production Process, 2016 –2027, (USD Million)

7.6.5. Latin America AI in Supply Chain & Logistics Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

Chapter 8. COMPETITIVE LANDSCAPE

8.1. Market Share By Manufacturers

8.2. Strategic Benchmarking

8.2.1. New Product Launches

8.2.2. Investment & Expansion

8.2.3. Acquisitions

8.2.4. Partnerships, Agreement, Mergers, Joint-Ventures

8.3. Vendor Landscape

8.3.1. North American Suppliers

8.3.2. European Suppliers

8.3.3. Asia-Pacific Suppliers

8.3.4. Rest Of The World Suppliers

Chapter 9. COMPANY PROFILES

9.1. IBM

9.1.1. Company Overview

9.1.2. Financial Performance

9.1.3. Product Insights

9.1.4. Strategic Initiatives

9.2 BonVision Technology

9.2.1. Company Overview

9.2.2. Financial Performance

9.2.3. Product Insights

9.2.4. Strategic Initiatives

9.3. Intel

9.3.1. Company Overview

9.3.2. Financial Performance

9.3.3. Product Insights

9.3.4. Strategic Initiatives

9.4. SAP

9.4.1. Company Overview

9.4.2. Financial Performance

9.4.3. Product Insights

9.4.4. Strategic Initiatives

9.5 General Electric

9.5.1. Company Overview

9.5.2. Financial Performance

9.5.3. Product Insights

9.5.4. Strategic Initiatives

9.6. Amazon Web Services (AWS)

9.6.1. Company Overview

9.6.2. Financial Performance

9.6.3. Product Insights

9.6.4. Strategic Initiatives

9.7. Google

9.7.1. Company Overview

9.7.2. Financial Performance

9.7.3. Product Insights

9.7.4. Strategic Initiatives

9.8. LogiNext

9.8.1. Company Overview

9.8.2. Financial Performance

9.8.3. Product Insights

9.8.4. Strategic Initiatives

9.9 . Transmetrics

9.9.1. Company Overview

9.9.2. Financial Performance

9.9.3. Product Insights

9.9.4. Strategic Initiatives

9.10. Smarter Sorting

9.10.1. Company Overview

9.10.2. Financial Performance

9.10.3. Product Insights

9.10.4. Strategic Initiatives

RESEARCH METHODOLOGY

A research methodology is a systematic approach for assessing or conducting a market study. Researchers tend to draw on a variety of both qualitative and quantitative study methods, inclusive of investigations, survey, secondary data and market observation.

Such plans can focus on classifying the products offered by leading market players or simply use statistical models to interpret observations or test hypotheses. While some methods aim for a detailed description of the factors behind an observation, others present the context of the current market scenario.

Now let’s take a closer look at the research methods here.

Secondary Research Model

Extensive data is obtained and cumulated on a substantial basis during the inception phase of the research process. The data accumulated is consistently filtered through validation from the in-house database, paid sources as well reputable industry magazines. A robust research study requires an understanding of the overall value chain. Annual reports and financials of industry players are studied thoroughly to have a comprehensive idea of the market taxonomy.

Primary Insights

Post conglomeration of the data obtained through secondary research; a validation process is initiated to verify the numbers or figures. This process is usually performed by having a detailed discussion with the industry experts.

However, we do not restrict our primary interviews only to the industry leaders. Our team covers the entire value chain while verifying the data. A significant number of raw material suppliers, local manufacturers, distributors, and stakeholders are interviewed to make our findings authentic. The current trends which include the drivers, restraints, and opportunities are also derived through the primary research process.

Market Estimation

The market estimation is conducted by analyzing the data collected through both secondary and primary research. This process involves market breakdown, bottom-up and top- down approach.

Moreover, while forecasting the market a comprehensive statistical time series model is designed for each market. Macroeconomic indicators are considered to understand the current trends of the market. Each data point is verified by the process of data triangulation method to arrive at the final market estimates.

Final Presentation

The penultimate process results in a holistic research report. The study equips key industry players to undertake significant strategic decisions through the findings. The report encompasses detailed market information. Graphical representations of the current market trends are also made available in order to make the study highly comprehensible for the reader.

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Ai In Supply Chain Logistics Market Size, Type Analysis, Application Analysis, End-Use, Industry Analysis, Regional Outlook, Competitive Strategies And Forecasts, 2023-2032