Supply Chain Analytics Market (By Solution: Logistics Analytics, Manufacturing Analytics; By Service; By Deployment; By Enterprise Size; By End-use) - Global Industry Analysis, Size, Share, Growth, Trends, Revenue, Regional Outlook and Forecast 2023-2032

The global supply chain analytics market was valued at USD 6.17 billion in 2022 and it is predicted to surpass around USD 31.78 billion by 2032 with a CAGR of 17.81% from 2023 to 2032.

Supply Chain Analytics Market Size 2023 to 2032

Key Pointers

  • The sales & operations analytics segment captured a market share exceeding 25% in 2022.
  • The planning & procurement segment is anticipated to register considerable growth over the forecast period.
  • Based on service segment type professional service type has registered the highest market share of over 60.03% in 2022.
  • The support & maintenance segment is anticipated to register a promising CAGR over the forecast period.
  • Based on deployment type the cloud segment illustrated the highest market share of more than 60.14% in 2022.
  • The large enterprise segment held the highest market share of over 55.06% in 2022.
  • The manufacturing segment held the highest market share of over 20.17% in 2022.
  • North America dominated the global market with a share of over 35.02% in 2022.
  • Over the forecast period, the Asia Pacific regional market is expected to increase significantly.
Report Coverage Details
Market Size in 2022 USD 6.17 billion
Revenue Forecast by 2032 USD 31.78 billion
Growth rate from 2023 to 2032 CAGR of 17.81%
Base Year 2022
Forecast Period 2023 to 2032
Regions Covered North America, Europe, Asia Pacific, Latin America, Middle East & Africa
Companies Covered Accenture PLC; Aera Technology; Birst, Inc.; Capgemini SA; Genpact Limited; International Business Machines Corporation; JDA Software Group; Inc., Kinaxis; Lockheed Martin Corporation; Maersk Group; Manhattan Associates, Inc.

 

The supply chain analytics market is growing in demand due to increased awareness of the benefits of supply chain analytics (SCA) solutions, such as forecasting accuracy, supply chain optimization, waste minimization, and meaningful synthesis of business data. The increasing number of small & medium enterprises and their increasing expenditure on implementing analytics to hold a strong position in the market and compete against other market players are expected to boost the market growth in the forecast period.

The COVID-19 pandemic has long-term influenced economies worldwide, forcing corporate leaders to act and continue their operations. The epidemic underscored the importance of supply chain solutions for long-term economic viability. During these uncertain times, supply chain analytics-enabled organizations to identify processes that needed immediate attention or products/items that were likely to run out soon, allowing them to manage the demand-supply gap better than before. Furthermore, SCA vendors in the market are working actively and offering solutions to minimize the negative impacts of the pandemic on global supply chains.

Supply chain analytics also helps businesses improve their ability to make decisions regarding technology adoption, organizational infrastructure, strategic relationships, and enterprise resource management. Additionally, SCA solutions encourage strategic decision-making and help businesses strengthen their market position, maximize return on investment, and speed up growth by utilizing the learned insights. Supply chain analytics software enables collaborative engagement and access to different data sources while providing comprehensive insights. These advantages allow an organization to improve its response time by anticipating changes in its production timeline and process.

SCA helps organizations get a broader view of supply chain activities, allowing them to efficiently manage any issues that may impact the profitability or sustainability of the business. Mobile-based solutions help companies track inefficient supplier networks, elevated warehousing costs, and incorrect forecasts, among others. Analytics solutions also play a pivotal role in analyzing business operations that may help improve inventory management and subsequently help reduce associated cost components that may hinder business growth. In recent times, a surge in the adoption of mobile-based solutions is expected to create avenues for industry growth.

Unethical activities and increasing incidences of cyber threats could raise concerns among businesses and may challenge the adoption of SCA solutions to a certain extent. Although the prospects of tech inclusion in supply chain operations look bright, industry incumbents are still concerned about possible security/data breaches. These concerns may be unfavorable for future growth. However, by selling secure products, SCA solution providers have been working tirelessly to reduce the effect of these breaches. These initiatives may help the supply chain analytics market grow at a healthy rate in the coming years. 

Supply Chain Analytics Market Segmentations:

By Solution By Service By Deployment By Enterprise Size By End-use

Logistics Analytics

Manufacturing Analytics

Planning & Procurement

Sales & Operations Analytics

Visualization & Reporting

Professional

Support & Maintenance

Cloud

On-premise

Large Enterprise

Small & Medium Enterprises

Retail & Consumer Goods

Healthcare

Manufacturing

Transportation

Aerospace & Defense

High Technology Products

Others

 

Frequently Asked Questions

The global supply chain analytics market size was reached at USD 6.17 billion in 2022 and it is projected to hit around USD 31.78 billion by 2032.

The global supply chain analytics market is growing at a compound annual growth rate (CAGR) of 17.81% from 2023 to 2032.

The North America region has accounted for the largest supply chain analytics market share in 2022.

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis 

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Supply Chain Analytics Market 

5.1. COVID-19 Landscape: Supply Chain Analytics Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

Chapter 6. Market Dynamics Analysis and Trends

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Supply Chain Analytics Market, By Solution

8.1. Supply Chain Analytics Market, by Solution, 2023-2032

8.1.1. Logistics Analytics

8.1.1.1. Market Revenue and Forecast (2020-2032)

8.1.2. Manufacturing Analytics

8.1.2.1. Market Revenue and Forecast (2020-2032)

8.1.3. Planning & Procurement

8.1.3.1. Market Revenue and Forecast (2020-2032)

8.1.4. Sales & Operations Analytics

8.1.4.1. Market Revenue and Forecast (2020-2032)

8.1.5. Visualization & Reporting

8.1.5.1. Market Revenue and Forecast (2020-2032)

Chapter 9. Global Supply Chain Analytics Market, By Service

9.1. Supply Chain Analytics Market, by Service, 2023-2032

9.1.1. Professional

9.1.1.1. Market Revenue and Forecast (2020-2032)

9.1.2. Support & Maintenance

9.1.2.1. Market Revenue and Forecast (2020-2032)

Chapter 10. Global Supply Chain Analytics Market, By Deployment 

10.1. Supply Chain Analytics Market, by Deployment, 2023-2032

10.1.1. Cloud

10.1.1.1. Market Revenue and Forecast (2020-2032)

10.1.2. On-premise

10.1.2.1. Market Revenue and Forecast (2020-2032)

Chapter 11. Global Supply Chain Analytics Market, By Enterprise Size

11.1. Supply Chain Analytics Market, by Enterprise Size, 2023-2032

11.1.1. Large Enterprise

11.1.1.1. Market Revenue and Forecast (2020-2032)

11.1.2. Small & Medium Enterprises

11.1.2.1. Market Revenue and Forecast (2020-2032)

Chapter 12. Global Supply Chain Analytics Market, By End-use

12.1. Supply Chain Analytics Market, by End-use, 2023-2032

12.1.1. Retail & Consumer Goods

12.1.1.1. Market Revenue and Forecast (2020-2032)

12.1.2. Healthcare

12.1.2.1. Market Revenue and Forecast (2020-2032)

12.1.3. Manufacturing

12.1.3.1. Market Revenue and Forecast (2020-2032)

12.1.4. Transportation

12.1.4.1. Market Revenue and Forecast (2020-2032)

12.1.5. Aerospace & Defense

12.1.5.1. Market Revenue and Forecast (2020-2032)

12.1.6. High Technology Products

12.1.6.1. Market Revenue and Forecast (2020-2032)

12.1.7. Others

12.1.7.1. Market Revenue and Forecast (2020-2032)

Chapter 13. Global Supply Chain Analytics Market, Regional Estimates and Trend Forecast

13.1. North America

13.1.1. Market Revenue and Forecast, by Solution (2020-2032)

13.1.2. Market Revenue and Forecast, by Service (2020-2032)

13.1.3. Market Revenue and Forecast, by Deployment (2020-2032)

13.1.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)

13.1.5. Market Revenue and Forecast, by End-use (2020-2032)

13.1.6. U.S.

13.1.6.1. Market Revenue and Forecast, by Solution (2020-2032)

13.1.6.2. Market Revenue and Forecast, by Service (2020-2032)

13.1.6.3. Market Revenue and Forecast, by Deployment (2020-2032)

13.1.6.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)

13.1.7. Market Revenue and Forecast, by End-use (2020-2032) 

13.1.8. Rest of North America

13.1.8.1. Market Revenue and Forecast, by Solution (2020-2032)

13.1.8.2. Market Revenue and Forecast, by Service (2020-2032)

13.1.8.3. Market Revenue and Forecast, by Deployment (2020-2032)

13.1.8.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)

13.1.8.5. Market Revenue and Forecast, by End-use (2020-2032)

13.2. Europe

13.2.1. Market Revenue and Forecast, by Solution (2020-2032)

13.2.2. Market Revenue and Forecast, by Service (2020-2032)

13.2.3. Market Revenue and Forecast, by Deployment (2020-2032)

13.2.4. Market Revenue and Forecast, by Enterprise Size (2020-2032) 

13.2.5. Market Revenue and Forecast, by End-use (2020-2032) 

13.2.6. UK

13.2.6.1. Market Revenue and Forecast, by Solution (2020-2032)

13.2.6.2. Market Revenue and Forecast, by Service (2020-2032)

13.2.6.3. Market Revenue and Forecast, by Deployment (2020-2032)

13.2.7. Market Revenue and Forecast, by Enterprise Size (2020-2032) 

13.2.8. Market Revenue and Forecast, by End-use (2020-2032) 

13.2.9. Germany

13.2.9.1. Market Revenue and Forecast, by Solution (2020-2032)

13.2.9.2. Market Revenue and Forecast, by Service (2020-2032)

13.2.9.3. Market Revenue and Forecast, by Deployment (2020-2032)

13.2.10. Market Revenue and Forecast, by Enterprise Size (2020-2032)

13.2.11. Market Revenue and Forecast, by End-use (2020-2032)

13.2.12. France

13.2.12.1. Market Revenue and Forecast, by Solution (2020-2032)

13.2.12.2. Market Revenue and Forecast, by Service (2020-2032)

13.2.12.3. Market Revenue and Forecast, by Deployment (2020-2032)

13.2.12.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)

13.2.13. Market Revenue and Forecast, by End-use (2020-2032)

13.2.14. Rest of Europe

13.2.14.1. Market Revenue and Forecast, by Solution (2020-2032)

13.2.14.2. Market Revenue and Forecast, by Service (2020-2032)

13.2.14.3. Market Revenue and Forecast, by Deployment (2020-2032)

13.2.14.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)

13.2.15. Market Revenue and Forecast, by End-use (2020-2032)

13.3. APAC

13.3.1. Market Revenue and Forecast, by Solution (2020-2032)

13.3.2. Market Revenue and Forecast, by Service (2020-2032)

13.3.3. Market Revenue and Forecast, by Deployment (2020-2032)

13.3.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)

13.3.5. Market Revenue and Forecast, by End-use (2020-2032)

13.3.6. India

13.3.6.1. Market Revenue and Forecast, by Solution (2020-2032)

13.3.6.2. Market Revenue and Forecast, by Service (2020-2032)

13.3.6.3. Market Revenue and Forecast, by Deployment (2020-2032)

13.3.6.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)

13.3.7. Market Revenue and Forecast, by End-use (2020-2032)

13.3.8. China

13.3.8.1. Market Revenue and Forecast, by Solution (2020-2032)

13.3.8.2. Market Revenue and Forecast, by Service (2020-2032)

13.3.8.3. Market Revenue and Forecast, by Deployment (2020-2032)

13.3.8.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)

13.3.9. Market Revenue and Forecast, by End-use (2020-2032)

13.3.10. Japan

13.3.10.1. Market Revenue and Forecast, by Solution (2020-2032)

13.3.10.2. Market Revenue and Forecast, by Service (2020-2032)

13.3.10.3. Market Revenue and Forecast, by Deployment (2020-2032)

13.3.10.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)

13.3.10.5. Market Revenue and Forecast, by End-use (2020-2032)

13.3.11. Rest of APAC

13.3.11.1. Market Revenue and Forecast, by Solution (2020-2032)

13.3.11.2. Market Revenue and Forecast, by Service (2020-2032)

13.3.11.3. Market Revenue and Forecast, by Deployment (2020-2032)

13.3.11.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)

13.3.11.5. Market Revenue and Forecast, by End-use (2020-2032)

13.4. MEA

13.4.1. Market Revenue and Forecast, by Solution (2020-2032)

13.4.2. Market Revenue and Forecast, by Service (2020-2032)

13.4.3. Market Revenue and Forecast, by Deployment (2020-2032)

13.4.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)

13.4.5. Market Revenue and Forecast, by End-use (2020-2032)

13.4.6. GCC

13.4.6.1. Market Revenue and Forecast, by Solution (2020-2032)

13.4.6.2. Market Revenue and Forecast, by Service (2020-2032)

13.4.6.3. Market Revenue and Forecast, by Deployment (2020-2032)

13.4.6.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)

13.4.7. Market Revenue and Forecast, by End-use (2020-2032)

13.4.8. North Africa

13.4.8.1. Market Revenue and Forecast, by Solution (2020-2032)

13.4.8.2. Market Revenue and Forecast, by Service (2020-2032)

13.4.8.3. Market Revenue and Forecast, by Deployment (2020-2032)

13.4.8.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)

13.4.9. Market Revenue and Forecast, by End-use (2020-2032)

13.4.10. South Africa

13.4.10.1. Market Revenue and Forecast, by Solution (2020-2032)

13.4.10.2. Market Revenue and Forecast, by Service (2020-2032)

13.4.10.3. Market Revenue and Forecast, by Deployment (2020-2032)

13.4.10.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)

13.4.10.5. Market Revenue and Forecast, by End-use (2020-2032)

13.4.11. Rest of MEA

13.4.11.1. Market Revenue and Forecast, by Solution (2020-2032)

13.4.11.2. Market Revenue and Forecast, by Service (2020-2032)

13.4.11.3. Market Revenue and Forecast, by Deployment (2020-2032)

13.4.11.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)

13.4.11.5. Market Revenue and Forecast, by End-use (2020-2032)

13.5. Latin America

13.5.1. Market Revenue and Forecast, by Solution (2020-2032)

13.5.2. Market Revenue and Forecast, by Service (2020-2032)

13.5.3. Market Revenue and Forecast, by Deployment (2020-2032)

13.5.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)

13.5.5. Market Revenue and Forecast, by End-use (2020-2032)

13.5.6. Brazil

13.5.6.1. Market Revenue and Forecast, by Solution (2020-2032)

13.5.6.2. Market Revenue and Forecast, by Service (2020-2032)

13.5.6.3. Market Revenue and Forecast, by Deployment (2020-2032)

13.5.6.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)

13.5.7. Market Revenue and Forecast, by End-use (2020-2032)

13.5.8. Rest of LATAM

13.5.8.1. Market Revenue and Forecast, by Solution (2020-2032)

13.5.8.2. Market Revenue and Forecast, by Service (2020-2032)

13.5.8.3. Market Revenue and Forecast, by Deployment (2020-2032)

13.5.8.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)

13.5.8.5. Market Revenue and Forecast, by End-use (2020-2032)

Chapter 14. Company Profiles

14.1. Accenture PLC

14.1.1. Company Overview

14.1.2. Product Offerings

14.1.3. Financial Performance

14.1.4. Recent Initiatives

14.2. Aera Technology

14.2.1. Company Overview

14.2.2. Product Offerings

14.2.3. Financial Performance

14.2.4. Recent Initiatives

14.3. Birst, Inc.

14.3.1. Company Overview

14.3.2. Product Offerings

14.3.3. Financial Performance

14.3.4. Recent Initiatives

14.4. Capgemini SA

14.4.1. Company Overview

14.4.2. Product Offerings

14.4.3. Financial Performance

14.4.4. Recent Initiatives

14.5. Genpact Limited

14.5.1. Company Overview

14.5.2. Product Offerings

14.5.3. Financial Performance

14.5.4. Recent Initiatives

14.6. International Business Machines Corporation

14.6.1. Company Overview

14.6.2. Product Offerings

14.6.3. Financial Performance

14.6.4. Recent Initiatives

14.7. JDA Software Group; Inc.

14.7.1. Company Overview

14.7.2. Product Offerings

14.7.3. Financial Performance

14.7.4. Recent Initiatives

14.8. Kinaxis

14.8.1. Company Overview

14.8.2. Product Offerings

14.8.3. Financial Performance

14.8.4. Recent Initiatives

14.9. Lockheed Martin Corporation

14.9.1. Company Overview

14.9.2. Product Offerings

14.9.3. Financial Performance

14.9.4. Recent Initiatives

14.10. Maersk Group

14.10.1. Company Overview

14.10.2. Product Offerings

14.10.3. Financial Performance

14.10.4. Recent Initiatives

Chapter 15. Research Methodology

15.1. Primary Research

15.2. Secondary Research

15.3. Assumptions

Chapter 16. Appendix

16.1. About Us

16.2. Glossary of Terms

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