The supply chain analytics market size was estimated at US$ 6.17 billion in 2022 it is predicted to grow at a CAGR of 17.81% from 2023 to 2032 to reach around US$ 31.78 billion by the end of 2032.
The Supply Chain Analytics market report offers an exclusive study of the present state expected at the market dynamics, opportunities, market scheme, growth analysis and regional outlook. The report presents energetic visions to conclude and study the market size, market aspiration, and competitive environment. The research also focuses on the important achievements of the market, research & development, and regional (country by country) growth of the leading vendors operating in the market
The study offers intricate dynamics about different aspects of the global Supply Chain Analytics market, which aids companies operating in the market in making strategies development decisions. The study also elaborates on remarkable changes that are highly anticipated to configure growth of the global Supply Chain Analytics market during the forecast period. It also includes a key indicator analysis that highlights growth prospects of this market and approximate statistics related to growth of the market in terms of value (US$ Bn) and volume (tons).
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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. |
This study covers an elaborate segmentation of the global Supply Chain Analytics market, along with important information and a competition outlook. The report mentions company profiles of players that are currently influence the global Supply Chain Analytics market, wherein various developments, expansions, and winning strategies practiced and execute by leading players have been presented in detail.
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 |
Research Methodology
The research methodology acquire by analysts for assemble the global Supply Chain Analytics market 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 study numerous annual report declaration, white papers, market association declaration, 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
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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