[250 Pages Report] Newly released Procurement Analytics Market analysis report by Future Market Insights shows that global sales of the Procurement Analytics Market in 2021 was held at US$ 2.6 Billion. With 22.5%, the projected market growth during 2022 to 2032 is expected to be significantly higher than the historical growth. Supply Chain Analytics is expected to be the highest revenue-generating category, projected to register a CAGR of 22.1% during 2022 to 2032.
| Attributes | Details |
|---|---|
| Global Procurement Analytics Market CAGR (2022-2032) | 22.5% |
| Global Procurement Analytics Market Size (2022) | US$ 3.3 billion |
| Global Procurement Analytics Market Size (2032) | US$ 24.8 billion |
| North America Procurement Analytics Market Size (2022) | US$ 3.3 billion |
| USA Procurement Analytics Market CAGR (2022 to 2032) | 22.3% |
| Key Companies Covered |
|
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As per the Procurement Analytics Market research by Future Market Insights - market research and competitive intelligence provider, historically, from 2015 to 2021, the market value of the procurement analytics market increased at around 25.4% CAGR.
A variety of factors are expected to encourage the use of procurement analytics technology and services, including rising marketing and promotion expenditures by large businesses and the development of consumer bases.
The growing requirement to predict risks and losses, reduce operating costs, improve efficiency, and execute continual company growth is driving procurement analytics. Procurement analytics offers companies data-driven insight into how to enhance service levels. The use of analytics tools in procurement processes such as design, planning, delivery, production, and service has expanded.
The transactional elements of procurements can benefit from procurement analytics as well. These analytics may be utilized to identify inefficiencies, purchase order cycle times, and savings opportunities linked with contract conditions. The user may assess payment accuracy, analyze discount opportunities, and monitor duplicate payments or frauds using procurement analytics.
According to a research study conducted by Regina Corso Consulting of US supply chain experts, 90% of the respondents agree procurement analytics has taken on more duties to handle supply chain and sustainability concerns. With almost half of supply chain professionals stating shortages and interruptions keep them awake at night, it is critical to rely on procurement to help solve these issues. Procurement analytics may be used to split spending across locations, commodities, and entities to uncover potential for value and savings in strategic sourcing. Procurement analytics is used to detect critical sourcing event triggers which makes it highly useful to the end-users.
Due to factors such as the vast amount of procurement data in every sector, especially in the telecom and IT, the industry is likely to grow rapidly. Greater knowledge of the benefits of this data, such as precise forecasting of future supply chain management, enhanced decision modelling, and reduced costs, are also influencing the growth of the procurement analytics market.
Digitalization has played a vital role in boosting demand for analytics. Data security, integration concerns, and insufficient analytics capabilities, on the other hand, are impeding the market's growth.
Also, the use of procurement analytics in small and medium businesses (SMEs) is projected to provide the industry with several opportunities in the future years.
Data security, integration concerns, and insufficient analytics capabilities, on the other hand, are impeding the market's growth. Despite the hindrance, predictive analytics companies are continuously working to ensure the safety of information to the users of such tools.
Principal Consultant
Supply chains and data procurement can be transformed by new digital technologies and the big data analytics they deliver. Every quarter, procurement teams are confronted with higher demands. Companies desire lower costs, fewer risks, more efficient processes, and higher profit margins.
Governments also demand firms adhere to defined criteria at every stage of the supply chain. Consumers are also expecting more corporate accountability in terms of ethical sourcing.
There are various advantages to data-driven buying. By integrating real-time information, historical data, and consumer insights, chief procurement officers may take a proactive approach to make informed decisions, optimize the supply chain, and be more prepared for disruptions caused by external factors.
When a firm knows how to use big data to create data-driven procurement strategy, it may have a huge influence on its bottom line. Only about 1/4th of procurement organizations has a long-term digital strategy.
North America is the most lucrative region with procurement analytics market share of over 40%. The rising diffusion of big data in the retail industry is driving procurement analytics market growth. Businesses are shifting their attention from data collection to engineering approaches to extract insights from data, owing to the extraction of customer data from consumer and retail technology. This information can give merchants a competitive edge and differentiated tools to improve the purchasing experience for their customers.
Furthermore, incorporating procurement data analytics into the purchase system allows businesses to gain greater insights and control over their spending. Some of the primary drivers expected to fuel market growth in North America are the growing Internet of Things (IoT), cloud computing, and the requirement for supply chain and demand intelligence trends.
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The United States is expected to account for the highest market share of US$ 8.7 Bn by the end of 2032 with a predicted CAGR of 22.3%. To expand market offers, procurement analytics providers have used a variety of development tactics, including new product releases, product upgrades, collaborations and contracts, corporate expansion and acquisitions. Oracle, SAS Institute, Coupa Software, Microsoft, IBM, Cisco, and others are among the leading suppliers in the US procurement analytics industry.
Supply Chain Analytics segment is forecasted to grow at the highest CAGR of over 22.1% during 2022-2032. The demand for increased operational and supply chain efficiency, as well as the integration of AI and machine learning into supply chain management, will grow as the volume and velocity of data rises. On the other hand, data security issues and data set flaws are expected to constrain industry growth. Factors such as the swelling utility of supply chain analytics based on the cloud would generate significant opportunities in the forthcoming years.
For enterprises, supply chain analytics may help with cost reduction, transportation network design, inventory optimization, risk assessment, customer interaction, and global integration. Furthermore, the extensive use of Internet of Things devices in industries such as automotive, medicine, and manufacturing has resulted in large volumes of data being collected, resulting in a surge in the use of such solutions in supply chains.
Market revenue through Telecom and IT segment is forecasted to grow at the highest CAGR of over 22.1% during 2022-2032. As per blogs posted by Infosys, the telecom sector has made the initial steps toward commercializing a variety of technologies in 2019, including 5G and the Internet of Things (IoT). In the telecommunications and information technology industries, the use of the Internet of Things, machine learning, and Blockchain is expected to improve procurement decision-making regarding expenditure and purchasing, supplier portfolios, and contract fulfilment.
Among the leading global Procurement Analytics players market are SAP, Oracle, SAS Institute, Coupa Software, and Genpact. To gain a competitive advantage in the industry, these providers of procurement analytics are engaging in partnerships, mergers and acquisitions, and expansions.
The market for procurement analytics is very competitive. To increase their market presence, players in the market are constantly implementing strategies such as product innovations, collaborations, and mergers and acquisitions.
Similarly, recent Procurement Analytics Market Key Developments related to companies have been tracked by the team at Future Market Insights, which are available in the full report.
| Attribute | Details |
|---|---|
| Forecast Period | 2022 to 2032 |
| Historical Data Available for | 2015 to 2021 |
| Market Analysis | US$ million for Value |
| Key Regions Covered | North America, Europe, Asia Pacific, Middle East & Africa, Latin America |
| Key Countries Covered | United States, Canada, Brazil, Mexico, Germany, UK, France, Italy, Spain, Russia, China, South Korea, Japan, India, South Africa, UAE |
| Key Market Segments Covered | Component, Application, Deployment Mode, Organization Size, Industry Vertical, Region |
| Key Companies Profiled |
|
| Pricing | Available upon Request |
The global Procurement Analytics Market is worth more than US$ 2.6 Bn at present.
The value of the Procurement Analytics Market is projected to increase at a CAGR of around 22.5% during 2022 – 2032.
Value of Procurement Analytics Market increased at a CAGR of around 25.4% during 2015 – 2021.
The increased use of Machine Learning and Artificial Intelligence techniques, digitalization, data security, reduced cost for maintaining ample amount of data are some of the key trends shaping the growth of Procurement Analytics Market.
The market for Procurement Analytics Market in US is projected to expand at a CAGR of around 22.3% during 2022 – 2032.
1. Executive Summary
1.1. Global Market Outlook
1.2. Summary of Statistics
1.3. Key Market Characteristics & Attributes
1.4. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Risks and Trends Assessment
3.1. Risk Assessment
3.1.1. COVID-19 Crisis and Impact on Demand
3.1.2. COVID-19 Impact Benchmark with Previous Crisis
3.1.3. Impact on Market Value (US$ Mn)
3.1.4. Assessment by Key Countries
3.1.5. Assessment by Key Market Segments
3.1.6. Action Points and Recommendation for Suppliers
3.2. Key Trends Impacting the Market
3.3. Formulation and Product Development Trends
4. Market Background
4.1. Market, by Key Countries
4.2. Market Opportunity Assessment (US$ Mn)
4.2.1. Total Available Market
4.2.2. Serviceable Addressable Market
4.2.3. Serviceable Obtainable Market
4.3. Market Scenario Forecast
4.3.1. Demand in optimistic Scenario
4.3.2. Demand in Likely Scenario
4.3.3. Demand in Conservative Scenario
4.4. Investment Feasibility Analysis
4.4.1. Investment in Established Markets
4.4.1.1. In Short Term
4.4.1.2. In Long Term
4.4.2. Investment in Emerging Markets
4.4.2.1. In Short Term
4.4.2.2. In Long Term
4.5. Forecast Factors - Relevance & Impact
4.5.1. Top Companies Historical Growth
4.5.2. Growth in Automation, By Country
4.5.3. Adoption Rate, By Country
4.6. Market Dynamics
4.6.1. Market Driving Factors and Impact Assessment
4.6.2. Prominent Market Challenges and Impact Assessment
4.6.3. Market Opportunities
4.6.4. Prominent Trends in the Global Market & Their Impact Assessment
5. Key Success Factors
5.1. Manufacturers’ Focus on Low Penetration High Growth Markets
5.2. Banking on with Segments High Incremental Opportunity
5.3. Peer Benchmarking
6. Global Market Demand Analysis 2015-2021 and Forecast, 2022-2032
6.1. Historical Market Analysis, 2015-2021
6.2. Current and Future Market Projections, 2022-2032
6.3. Y-o-Y Growth Trend Analysis
7. Global Market Value Analysis 2015-2021 and Forecast, 2022-2032
7.1. Historical Market Value (US$ Mn) Analysis, 2015-2021
7.2. Current and Future Market Value (US$ Mn) Projections, 2022-2032
7.2.1. Y-o-Y Growth Trend Analysis
7.2.2. Absolute $ Opportunity Analysis
8. Global Market Analysis 2015-2021 and Forecast 2022-2032, By Component
8.1. Introduction / Key Findings
8.2. Historical Market Value (US$ Mn) and Analysis By Component, 2015-2021
8.3. Current and Future Market Value (US$ Mn) and Analysis and Forecast By Component, 2022-2032
8.3.1. Solutions
8.3.2. Services
8.3.2.1. Managed Services
8.3.2.2. Professional Services
8.4. Market Attractiveness Analysis By Component
9. Global Market Analysis 2015-2021 and Forecast 2022-2032, By Application
9.1. Introduction / Key Findings
9.2. Historical Market Value (US$ Mn) and Analysis By Application , 2015-2021
9.3. Current and Future Market Value (US$ Mn) and Analysis and Forecast By Application , 2022-2032
9.3.1. Supply Chain Analytics
9.3.2. Risk Analytics
9.3.3. Spend Analytics
9.3.4. Demand Forecasting
9.3.5. Contract Management
9.3.6. Vendor Management
9.3.7. Category Management
9.4. Market Attractiveness Analysis By Application
10. Global Market Analysis 2015-2021 and Forecast 2022-2032,By Deployment Mode
10.1. Introduction / Key Findings
10.2. Historical Market Value (US$ Mn) and AnalysisBy Deployment Mode , 2015-2021
10.3. Current and Future Market Value (US$ Mn) and Analysis and ForecastBy Deployment Mode , 2022-2032
10.3.1. Cloud
10.3.2. On-premises
10.4. Market Attractiveness AnalysisBy Deployment Mode
11. Global Market Analysis 2015-2021 and Forecast 2022-2032, By Organization Size
11.1. Introduction / Key Findings
11.2. Historical Market Value (US$ Mn) and Analysis By Organization Size , 2015-2021
11.3. Current and Future Market Value (US$ Mn) and Analysis and Forecast By Organization Size , 2022-2032
11.3.1. Large Enterprises
11.3.2. Small and Medium-sized Enterprises (SMEs)
11.4. Market Attractiveness Analysis By Organization Size
12. Global Market Analysis 2015-2021 and Forecast 2022-2032, By Industry Vertical
12.1. Introduction / Key Findings
12.2. Historical Market Value (US$ Mn) and Analysis By Industry Vertical , 2015-2021
12.3. Current and Future Market Value (US$ Mn) and Analysis and Forecast By Industry Vertical , 2022-2032
12.3.1. BFSI
12.3.2. Retail and eCommerce
12.3.3. Telecom and IT
12.3.4. Manufacturing
12.3.5. Healthcare and Life Science
12.3.6. Energy and Utilities
12.3.7. Government and Defense
12.4. Market Attractiveness Analysis By Industry Vertical
13. Global Market Analysis 2015-2021 and Forecast 2022-2032, By Region
13.1. Introduction
13.2. Historical Market Value (US$ Mn) and Analysis By Region, 2015-2021
13.3. Current Market Size (US$ Mn) & Analysis and Forecast By Region, 2022-2032
13.3.1. North America
13.3.2. Latin America
13.3.3. Europe
13.3.4. Asia Pacific
13.3.5. Middle East and Africa (MEA)
13.4. Market Attractiveness Analysis By Region
14. North America Market Analysis 2015-2021 and Forecast 2022-2032
14.1. Introduction
14.2. Pricing Analysis
14.3. Historical Market Value (US$ Mn) and Trend Analysis By Market Taxonomy, 2015-2021
14.4. Market Value (US$ Mn) & Forecast By Market Taxonomy, 2022-2032
14.4.1. By Country
14.4.1.1. U.S.
14.4.1.2. Canada
14.4.1.3. Rest of North America
14.4.2. By Deployment Mode
14.4.3. By Component
14.4.4. By Application
14.4.5. By Organization Size
14.4.6. By Industry Vertical
14.5. Market Attractiveness Analysis
14.5.1. By Country
14.5.2. By Deployment Mode
14.5.3. By Component
14.5.4. By Application
14.5.5. By Organization Size
14.5.6. By Industry Vertical
15. Latin America Market Analysis 2015-2021 and Forecast 2022-2032
15.1. Introduction
15.2. Pricing Analysis
15.3. Historical Market Value (US$ Mn) and Trend Analysis By Market Taxonomy, 2015-2021
15.4. Market Value (US$ Mn) & Forecast By Market Taxonomy, 2022-2032
15.4.1. By Country
15.4.1.1. Brazil
15.4.1.2. Mexico
15.4.1.3. Rest of Latin America
15.4.2. By Deployment Mode
15.4.3. By Component
15.4.4. By Application
15.4.5. By Organization Size
15.4.6. By Industry Vertical
15.5. Market Attractiveness Analysis
15.5.1. By Country
15.5.2. By Deployment Mode
15.5.3. By Component
15.5.4. By Application
15.5.5. By Organization Size
15.5.6. By Industry Vertical
16. Europe Market Analysis 2015-2021 and Forecast 2022-2032
16.1. Introduction
16.2. Pricing Analysis
16.3. Historical Market Value (US$ Mn) and Trend Analysis By Market Taxonomy, 2015-2021
16.4. Market Value (US$ Mn) & Forecast By Market Taxonomy, 2022-2032
16.4.1. By Country
16.4.1.1. Germany
16.4.1.2. France
16.4.1.3. U.K.
16.4.1.4. Italy
16.4.1.5. Russia
16.4.1.6. Rest of Europe
16.4.2. By Deployment Mode
16.4.3. By Component
16.4.4. By Application
16.4.5. By Organization Size
16.4.6. By Industry Vertical
16.5. Market Attractiveness Analysis
16.5.1. By Country
16.5.2. By Deployment Mode
16.5.3. By Component
16.5.4. By Application
16.5.5. By Organization Size
16.5.6. By Industry Vertical
17. Asia Pacific Market Analysis 2015-2021 and Forecast 2022-2032
17.1. Introduction
17.2. Pricing Analysis
17.3. Historical Market Value (US$ Mn) and Trend Analysis By Market Taxonomy, 2015-2021
17.4. Market Value (US$ Mn) & Forecast By Market Taxonomy, 2022-2032
17.4.1. By Country
17.4.1.1. China
17.4.1.2. Japan
17.4.1.3. South Korea
17.4.1.4. Rest of Asia Pacific
17.4.2. By Deployment Mode
17.4.3. By Component
17.4.4. By Application
17.4.5. By Organization Size
17.4.6. By Industry Vertical
17.5. Market Attractiveness Analysis
17.5.1. By Country
17.5.2. By Deployment Mode
17.5.3. By Component
17.5.4. By Application
17.5.5. By Organization Size
17.5.6. By Industry Vertical
18. Middle East and Africa Market Analysis 2015-2021 and Forecast 2022-2032
18.1. Introduction
18.2. Pricing Analysis
18.3. Historical Market Value (US$ Mn) and Trend Analysis By Market Taxonomy, 2015-2021
18.4. Market Value (US$ Mn) & Forecast By Market Taxonomy, 2022-2032
18.4.1. By Country
18.4.1.1. GCC Countries
18.4.1.2. South Africa
18.4.1.3. Turkey
18.4.1.4. Rest of Middle East and Africa
18.4.2. By Deployment Mode
18.4.3. By Component
18.4.4. By Application
18.4.5. By Organization Size
18.4.6. By Industry Vertical
18.5. Market Attractiveness Analysis
18.5.1. By Country
18.5.2. By Deployment Mode
18.5.3. By Component
18.5.4. By Application
18.5.5. By Organization Size
18.5.6. By Industry Vertical
19. Key Countries Market Analysis 2015-2021 and Forecast 2022-2032
19.1. Introduction
19.1.1. Market Value Proportion Analysis, By Key Countries
19.1.2. Global Vs. Country Growth Comparison
19.2. US Market Analysis
19.2.1. Value Proportion Analysis by Market Taxonomy
19.2.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032
19.2.2.1. By Deployment Mode
19.2.2.2. By Component
19.2.2.3. By Application
19.2.2.4. By Organization Size
19.2.2.5. By Industry Vertical
19.3. Canada Market Analysis
19.3.1. Value Proportion Analysis by Market Taxonomy
19.3.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032
19.3.2.1. By Deployment Mode
19.3.2.2. By Component
19.3.2.3. By Application
19.3.2.4. By Organization Size
19.3.2.5. By Industry Vertical
19.4. Mexico Market Analysis
19.4.1. Value Proportion Analysis by Market Taxonomy
19.4.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032
19.4.2.1. By Deployment Mode
19.4.2.2. By Component
19.4.2.3. By Application
19.4.2.4. By Organization Size
19.4.2.5. By Industry Vertical
19.5. Brazil Market Analysis
19.5.1. Value Proportion Analysis by Market Taxonomy
19.5.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032
19.5.2.1. By Deployment Mode
19.5.2.2. By Component
19.5.2.3. By Application
19.5.2.4. By Organization Size
19.5.2.5. By Industry Vertical
19.6. Germany Market Analysis
19.6.1. Value Proportion Analysis by Market Taxonomy
19.6.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032
19.6.2.1. By Deployment Mode
19.6.2.2. By Component
19.6.2.3. By Application
19.6.2.4. By Organization Size
19.6.2.5. By Industry Vertical
19.7. France Market Analysis
19.7.1. Value Proportion Analysis by Market Taxonomy
19.7.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032
19.7.2.1. By Deployment Mode
19.7.2.2. By Component
19.7.2.3. By Application
19.7.2.4. By Organization Size
19.7.2.5. By Industry Vertical
19.8. Italy Market Analysis
19.8.1. Value Proportion Analysis by Market Taxonomy
19.8.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032
19.8.2.1. By Deployment Mode
19.8.2.2. By Component
19.8.2.3. By Application
19.8.2.4. By Organization Size
19.8.2.5. By Industry Vertical
19.9. Russia Market Analysis
19.9.1. Value Proportion Analysis by Market Taxonomy
19.9.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032
19.9.2.1. By Deployment Mode
19.9.2.2. By Component
19.9.2.3. By Application
19.9.2.4. By Organization Size
19.9.2.5. By Industry Vertical
19.10. UK Market Analysis
19.10.1. Value Proportion Analysis by Market Taxonomy
19.10.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032
19.10.2.1. By Deployment Mode
19.10.2.2. By Component
19.10.2.3. By Application
19.10.2.4. By Organization Size
19.10.2.5. By Industry Vertical
19.11. China Market Analysis
19.11.1. Value Proportion Analysis by Market Taxonomy
19.11.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032
19.11.2.1. By Deployment Mode
19.11.2.2. By Component
19.11.2.3. By Application
19.11.2.4. By Organization Size
19.11.2.5. By Industry Vertical
19.12. Japan Market Analysis
19.12.1. Value Proportion Analysis by Market Taxonomy
19.12.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032
19.12.2.1. By Deployment Mode
19.12.2.2. By Component
19.12.2.3. By Application
19.12.2.4. By Organization Size
19.12.2.5. By Industry Vertical
19.13. South Korea Market Analysis
19.13.1. Value Proportion Analysis by Market Taxonomy
19.13.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032
19.13.2.1. By Deployment Mode
19.13.2.2. By Component
19.13.2.3. By Application
19.13.2.4. By Organization Size
19.13.2.5. By Industry Vertical
19.14. GCC Countries Market Analysis
19.14.1. Value Proportion Analysis by Market Taxonomy
19.14.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032
19.14.2.1. By Deployment Mode
19.14.2.2. By Component
19.14.2.3. By Application
19.14.2.4. By Organization Size
19.14.2.5. By Industry Vertical
19.15. South Africa Market Analysis
19.15.1. Value Proportion Analysis by Market Taxonomy
19.15.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032
19.15.2.1. By Deployment Mode
19.15.2.2. By Component
19.15.2.3. By Application
19.15.2.4. By Organization Size
19.15.2.5. By Industry Vertical
19.16. Turkey Market Analysis
19.16.1. Value Proportion Analysis by Market Taxonomy
19.16.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032
19.16.2.1. By Deployment Mode
19.16.2.2. By Component
19.16.2.3. By Application
19.16.2.4. By Organization Size
19.16.2.5. By Industry Vertical
19.16.3. Competition Landscape and Player Concentration in the Country
20. Market Structure Analysis
20.1. Market Analysis by Tier of Companies
20.2. Market Concentration
20.3. Market Share Analysis of Top Players
20.4. Market Presence Analysis
20.4.1. By Regional footprint of Players
20.4.2. Product footprint by Players
21. Competition Analysis
21.1. Competition Dashboard
21.2. Competition Benchmarking
21.3. Competition Deep Dive
21.3.1. SAP
21.3.1.1. Overview
21.3.1.2. Product Portfolio
21.3.1.3. Sales Footprint
21.3.1.4. Strategy Overview
21.3.2. Oracle
21.3.2.1. Overview
21.3.2.2. Product Portfolio
21.3.2.3. Sales Footprint
21.3.2.4. Strategy Overview
21.3.3. SAS Institute
21.3.3.1. Overview
21.3.3.2. Product Portfolio
21.3.3.3. Sales Footprint
21.3.3.4. Strategy Overview
21.3.4. Coupa Software
21.3.4.1. Overview
21.3.4.2. Product Portfolio
21.3.4.3. Sales Footprint
21.3.4.4. Strategy Overview
21.3.5. Genpact
21.3.5.1. Overview
21.3.5.2. Product Portfolio
21.3.5.3. Sales Footprint
21.3.5.4. Strategy Overview
21.3.6. Rosslyn Data Technologies
21.3.6.1. Overview
21.3.6.2. Product Portfolio
21.3.6.3. Sales Footprint
21.3.6.4. Strategy Overview
21.3.7. Microsoft
21.3.7.1. Overview
21.3.7.2. Product Portfolio
21.3.7.3. Sales Footprint
21.3.7.4. Strategy Overview
21.3.8. IBM
21.3.8.1. Overview
21.3.8.2. Product Portfolio
21.3.8.3. Sales Footprint
21.3.8.4. Strategy Overview
21.3.9. Cisco
21.3.9.1. Overview
21.3.9.2. Product Portfolio
21.3.9.3. Sales Footprint
21.3.9.4. Strategy Overview
21.3.10. GEP
21.3.10.1. Overview
21.3.10.2. Product Portfolio
21.3.10.3. Sales Footprint
21.3.10.4. Strategy Overview
22. Assumptions and Acronyms Used
23. Research Methodology
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Procurement Analytics Market
