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Supply Chain Analytics Market Size, Growth, Demands Outlook and Forecasts to 2032

According to the research report, the global supply chain analytics market size is expected to touch USD 38.78 Billion by 2032, from USD 38.78  Billion in 2022, growing with a significant CAGR of 18% from 2023 to 2032. 

Supply Chain Analytics Market Size 2023 To 2032

The supply chain analytics report offers a comprehensive study of the current state expected at the major drivers, market strategies, and key vendors’ growth. The report presents energetic visions to conclude and study the market size, market hopes, and competitive surroundings. The research also focuses on the important achievements of the market, research & development, and regional growth of the leading competitors operating in the market. The current trends of the global supply chain analytics in conjunction with the geographical landscape of this vertical have also been included in this report.

The report offers intricate dynamics about different aspects of the global supply chain analytics market, which aids companies operating in the market in making strategic development decisions. The study also elaborates on significant changes that are highly anticipated to configure growth of the global supply chain analytics during the forecast period. It also includes a key indicator assessment that highlights growth prospects of this market and estimates statistics related to growth of the market in terms of value (US$ Mn) and volume (tons).

Sample Link @ https://www.precedenceresearch.com/sample/2949

This study covers a detailed segmentation of the global supply chain analytics market, along with key information and a competition outlook. The report mentions company profiles of players that are currently dominating the global supply chain analytics market, wherein various developments, expansions, and winning strategies practiced and implemented by leading players have been presented in detail.

Key Players

  • 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.

Market Segmentation

By Solution

  • Logistics Analytics
  • Manufacturing Analytics
  • Planning & Procurement
  • Sales & Operations Analytics
  • Visualization & Reporting

By Service

  • Professional
  • Support & Maintenance

By Deployment

  • Cloud
  • On-premise

By Enterprise Size

  • Large Enterprise
  • Small & Medium Enterprises

By End-use

  • Retail & Consumer Goods
  • Healthcare
  • Manufacturing
  • Transportation
  • Aerospace & Defense
  • High Technology Products
  • Others

By Geography

  • North America
  • Europe
  • Asia-Pacific
  • Latin America
  • Middle East and Africa

Research Methodology

The research methodology adopted by analysts for compiling the global supply chain analytics report is based on detailed primary as well as secondary research. With the help of in-depth insights of the market-affiliated information that is obtained and legitimated by market-admissible resources, analysts have offered riveting observations and authentic forecasts for the global market.

During the primary research phase, analysts interviewed market stakeholders, investors, brand managers, vice presidents, and sales and marketing managers. Based on data obtained through interviews of genuine resources, analysts have emphasized the changing scenario of the global market.

For secondary research, analysts scrutinized numerous annual report publications, white papers, market association publications, and company websites to obtain the necessary understanding of the global supply chain analytics market.

TABLE OF CONTENT

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology (Premium Insights)

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)

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

13.1.7. Rest of North America

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

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

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

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

13.1.7.5. 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. Aera Technology

14.1.1. Company Overview

14.1.2. Product Offerings

14.1.3. Financial Performance

14.1.4. Recent Initiatives

14.2. Birst, Inc.

14.2.1. Company Overview

14.2.2. Product Offerings

14.2.3. Financial Performance

14.2.4. Recent Initiatives

14.3. Capgemini SA

14.3.1. Company Overview

14.3.2. Product Offerings

14.3.3. Financial Performance

14.3.4. Recent Initiatives

14.4. Genpact Limited

14.4.1. Company Overview

14.4.2. Product Offerings

14.4.3. Financial Performance

14.4.4. Recent Initiatives

14.5. International Business Machines Corporation

14.5.1. Company Overview

14.5.2. Product Offerings

14.5.3. Financial Performance

14.5.4. Recent Initiatives

14.6. JDA Software Group, Inc.

14.6.1. Company Overview

14.6.2. Product Offerings

14.6.3. Financial Performance

14.6.4. Recent Initiatives

14.7. Kinaxis

14.7.1. Company Overview

14.7.2. Product Offerings

14.7.3. Financial Performance

14.7.4. Recent Initiatives

14.8. Lockheed Martin Corporation

14.8.1. Company Overview

14.8.2. Product Offerings

14.8.3. Financial Performance

14.8.4. Recent Initiatives

14.9. Maersk Group

14.9.1. Company Overview

14.9.2. Product Offerings

14.9.3. Financial Performance

14.9.4. Recent Initiatives

14.10. Manhattan Associates, Inc.

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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