CPQ 소프트웨어 시장 규모, 점유율 및 업계 분석 보고서 : 기업 규모별, 전개별, 구성요소별, 최종 용도별, 지역별 전망 및 예측(2026-2033년)

The Global CPQ Software Market is expected to reach USD 10503.3 million by 2033, growing at a CAGR of 15.3% during (2026 - 2033).

This market is supported by increasing demand for streamlined sales processes, accurate product configuration, faster quotation generation, and automated pricing across manufacturing, IT and telecom, healthcare, retail, and industrial sectors. Demand is also rising as organizations focus on improved sales efficiency, reduced quoting errors, personalized product offerings, better customer experience, and seamless integration with CRM and ERP platforms. The market originated from the need to manage complex sales environments where manual quoting became inefficient and difficult to scale. Over time, CPQ solutions evolved from standalone tools into integrated platforms connected with ERP, CRM, and CAD systems.

Key Market Trends & Insights

• By enterprise size, Large Enterprises dominated the market in 2025 with USD 1,995.6 million and is expected to reach USD 5,981.6 million by 2033, growing at a CAGR of 14.9%.
• Small & Medium Enterprises are expected to grow faster by enterprise size, registering a CAGR of 15.8% during (2026 - 2033), supported by cloud-based CPQ adoption, faster deployment, and rising sales automation needs.
• By deployment, Cloud dominated the market in 2025 with USD 2,141.2 million and is expected to reach USD 6,637.3 million by 2033, growing at a CAGR of 15.4%.
• By component, Software dominated the market in 2025 with USD 2,423.5 million and is expected to reach USD 7,328.5 million by 2033, growing at a CAGR of 15.1%.
• Services are expected to grow faster by component, registering a CAGR of 15.9% during (2026 - 2033), supported by consulting, implementation, integration, customization, training, and ongoing support requirements.
• By end use, Manufacturing dominated the market in 2025 with USD 995.5 million and is expected to reach USD 2,702.8 million by 2033, growing at a CAGR of 13.5%.
• Automotive is expected to grow fastest by end use, registering a CAGR of 17.2% during (2026 - 2033), supported by vehicle customization, dealer quotation automation, pricing accuracy, and connected sales workflows.
• Regionally, North America dominated the market in 2025 with USD 1,353.4 million and is projected to reach USD 4,008.0 million by 2033, while LAMEA is expected to grow fastest with a CAGR of 16.5% during (2026 - 2033).

The market is growing as enterprises shift from manual quotation and fragmented pricing workflows toward intelligent, automated, and integrated quote-to-cash platforms. CPQ software is increasingly used to manage complex configurations, dynamic pricing, guided selling, approval workflows, subscription models, document generation, and omnichannel sales operations. AI, cloud-native deployment, predictive pricing, mobile accessibility, and API-based integrations are strengthening the role of CPQ as a strategic revenue operations platform.

The competitive environment is moderately consolidated and revenue-operations-driven, shaped by major CRM and ERP vendors, pricing optimization specialists, revenue lifecycle management platforms, and dedicated CPQ providers. Companies compete through AI-enabled pricing, complex configuration accuracy, CRM and ERP integration, quote-to-cash automation, cloud scalability, subscription support, implementation speed, and user experience. Future competition is expected to depend on intelligent automation, platform interoperability, vertical-specific capabilities, and measurable improvements in sales productivity.

Drivers

• Increased Demand for Cloud-Based and SaaS CPQ Solutions
• Integration of Artificial Intelligence to Enhance Sales Effectiveness and Customer Experience
• Need for End-to-End Quote-to-Cash Automation and Cross-System Integration
• Growing Necessity to Adapt to Rapid Technological Evolution and Market Volatility

Restraints

• High Implementation Complexity and Integration Challenges
• High Cost of Deployment and Total Cost of Ownership
• Resistance to Change and User Adoption Barriers

Opportunities

• Advanced Integration of CPQ with Enterprise Systems for Enhanced Efficiency
• AI-Driven Configuration and Pricing Optimization to Elevate Sales Effectiveness
• Expansion of Cloud-Based and Mobile CPQ Solutions to Support Remote and Distributed Workforces

Challenges

• Integration Complexity with Existing Enterprise Systems
• High Total Cost of Ownership and Implementation Risks
• Customization and User Adoption Constraints

Market Share Analysis

The CPQ Software Market reflects a moderately consolidated and revenue-operations-driven competitive landscape led by CRM and ERP platform vendors, quote-to-cash providers, pricing intelligence companies, and specialized configuration software vendors. Salesforce, Oracle, and SAP maintain strong enterprise positions through broad platform ecosystems, CPQ integration, and quote-to-cash capabilities. Conga and PROS strengthen the market through revenue lifecycle management, pricing optimization, and commercial automation, while Tacton, Experlogix, DealHub, Epicor, and Cincom compete through manufacturing-focused configuration, digital selling, document automation, subscription support, and specialized quote-to-revenue workflows.

Enterprise Size Outlook

Based on Enterprise Size, the market is segmented into Large Enterprises and Small & Medium Enterprises. The Large Enterprises market dominated the Global CPQ Software Market by Enterprise Size in 2025, and would continue to be a dominant market till 2033; thereby, achieving a market value of USD 5981.6 million by 2033, growing at a CAGR of 14.9 % during the forecast period. The Small & Medium Enterprises market is expected to witness a CAGR of 15.8% during (2026 - 2033).

Large Enterprises lead the market due to their need for advanced CPQ platforms that manage complex product portfolios, regional pricing rules, approval workflows, and multi-system integration. These organizations depend on CPQ to standardize sales operations, reduce quote errors, and connect sales processes with ERP, CRM, and revenue management systems. Small & Medium Enterprises are gaining demand through cloud-based and subscription-priced CPQ tools that offer faster deployment, ease of use, and lower IT burden.

Deployment Outlook

Based on Deployment, the market is segmented into Cloud and On-premises. The Cloud market dominated the Global CPQ Software Market by Deployment in 2025, and would continue to be a dominant market till 2033; thereby, achieving a market value of USD 6637.3 million by 2033, growing at a CAGR of 15.4 % during the forecast period. The On-premises market is expected to witness a CAGR of 15.1% during (2026 - 2033).

Cloud leads the market as enterprises prioritize scalable, flexible, and rapidly deployable CPQ platforms that support remote sales teams, automatic updates, and integration with SaaS-based business applications. Cloud CPQ also enables real-time collaboration, mobile access, and lower infrastructure requirements. On-premises remains relevant among organizations requiring stronger control over data, deep customization, internal governance, and compliance with industry-specific security requirements.

Component Outlook

Based on Component, the market is segmented into Software and Services. The Software market dominated the Global CPQ Software Market by Component in 2025, and would continue to be a dominant market till 2033; thereby, achieving a market value of USD 7328.5 million by 2033, growing at a CAGR of 15.1 % during the forecast period. The Services market is expected to witness a CAGR of 15.9% during (2026 - 2033).

Software leads the market as enterprises adopt platforms for product configuration, pricing automation, quote generation, guided selling, approval workflows, and sales process optimization. AI-enabled recommendation engines and predictive pricing are further improving software functionality. Services support the market through consulting, implementation, customization, integration, training, maintenance, and user adoption support, especially in complex enterprise environments with legacy systems and specialized sales processes.

End Use Outlook

Based on End Use, the market is segmented into Manufacturing, IT & Telecom, Healthcare, BFSI, Retail & E-commerce, Automotive, and Other End Use. The Manufacturing market dominated the Global CPQ Software Market by End Use in 2025, and would continue to be a dominant market till 2033; thereby, achieving a market value of USD 2702.8 million by 2033, growing at a CAGR of 13.5 % during the forecast period. The IT & Telecom market is expected to witness a CAGR of 15% during (2026 - 2033). Additionally, The Healthcare market is expected to witness highest CAGR of 15.8% during (2026 - 2033).

Manufacturing leads due to complex product configurations, customized offerings, pricing rules, and quote-to-order requirements. IT & Telecom uses CPQ for subscription services, bundled offerings, and digital sales automation, while Healthcare depends on CPQ for medical product portfolios and pricing accuracy. BFSI, Retail & E-commerce, Automotive, and Other End Use adopt CPQ for product personalization, proposal standardization, dynamic pricing, vehicle configuration, regulated workflows, and improved sales efficiency.

Regional Outlook

Region-wise, the CPQ Software Market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The North America market dominated the Global CPQ Software Market by Region in 2025, and would continue to be a dominant market till 2033; thereby, achieving a market value of USD 4008.0 million by 2033, growing at a CAGR of 14.8 % during the forecast period. The Europe market is expected to witness a CAGR of 15.1% during (2026 - 2033). Additionally, The Asia Pacific market is expected to witness a CAGR of 16% during (2026 - 2033).

North America leads the market due to early adoption of digital sales technologies, strong presence of leading CPQ solution providers, and high enterprise investment in sales automation platforms. Europe is supported by cloud adoption, customer-centric sales transformation, and compliance-driven sales processes. Asia Pacific is expanding through enterprise digitalization, IT infrastructure growth, and cloud-based business application adoption, while LAMEA is developing through rising awareness of digital sales automation and expanding cloud infrastructure.

Recent Strategies Deployed in the Market

• 2025-April: Conga signed a strategic collaboration agreement with Amazon Web Services in the United States to accelerate adoption of its Revenue Lifecycle Management platform, including CPQ capabilities, cloud interoperability, quote-to-cash modernization, and AI-driven revenue operations.
• 2025-July: Salesforce introduced the next-generation Revenue Cloud architecture in the United States, expanding traditional CPQ capabilities through an API-first quote-to-cash platform supporting AI agents, modular pricing, product catalog management, and modern revenue operations.
• 2025-October: Conga released new enhancements for Conga CPQ in the United States, improving product configuration, quote generation, pricing workflows, platform usability, and enterprise sales process automation.
• Experlogix expanded CPQ integration through its SmartFlows Connector in the United States, enabling organizations to connect CPQ workflows with automated business process orchestration and reduce manual intervention.
• 2024-October: Epicor acquired Acadia Software in the United States to expand AI-enabled manufacturing and frontline workforce technologies, strengthening its broader ERP ecosystem that connects with CPQ and quote-to-cash workflows.
• Cincom expanded CPQ e-commerce integration capabilities in the United States, enabling manufacturers to connect online sales channels with product configuration, pricing, quotation workflows, and consistent digital commerce rules.

List of Key Companies Profiled

• Salesforce, Inc.
• Oracle Corporation
• SAP SE
• Conga
• PROS Holdings, Inc.
• Tacton Systems AB
• Experlogix, Inc.
• DealHub Ltd.
• Epicor Software Corporation
• Cincom Systems, Inc.

Global CPQ Software Market Report Segmentation

By Enterprise Size

• Large Enterprises
• Small & Medium Enterprises

By Deployment

• Cloud
• On-premises

By Component

• Software
• Services

By End Use

• Manufacturing
• IT & Telecom
• Healthcare
• BFSI
• Retail & E-commerce
• Automotive
• Other End Use

By Geography

• North America
  • US
  • Canada
  • Mexico
  • Rest of North America
• Europe
  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific
• LAMEA
  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
  • Rest of LAMEA

Table of Contents

Chapter 1. Research Scope & Methodology

• 1.1 Market Definition
• 1.2 Analysis Period & Currency
• 1.3 Segmentation
• 1.4 CPQ Software Market, by Geography
• 1.5 Research Methodology

Chapter 2. Market Overview

• 2.1 COVID-19 Impact
• 2.2 Market Composition and Scenario

Chapter 3. Key Factors Impacting Market

• 3.1 Market Drivers
• 3.2 Market Restraints
• 3.3 Market Opportunities
• 3.4 Market Challenges
• 3.5 Market Trends
• 3.6 State of Competition
• 3.7 Market Consolidation
• 3.8 Key Customer Criteria

Chapter 4. Product Life Cycle

Chapter 5. Value Chain Analysis of CPQ Software Market

Chapter 6. Competition Analysis - Global

• 6.1 Market Share Analysis
• 6.2 Recent Developments
  • 6.2.1 Partnership, Collaboration & Agreements
  • 6.2.2 Product Launch & Product Expansion
  • 6.2.3 Mergers & Acquisitions
  • 6.2.4 Product Expansion

Chapter 7. Segmentation By Enterprise Size

• 7.1 Large Enterprises
• 7.2 Small & Medium Enterprises

Chapter 8. Segmentation By Deployment

• 8.1 Cloud
• 8.2 On-Premises

Chapter 9. Segmentation By Component

• 9.1 Software
• 9.2 Services

Chapter 10. Segmentation By End Use

• 10.1 Manufacturing
• 10.2 IT & Telecom
• 10.3 Healthcare
• 10.4 BFSI
• 10.5 Retail & E-commerce
• 10.6 Automotive
• 10.7 Other End Use

Chapter 11. North America Market

• 11.1 Market Overview
• 11.2 Key Factors Impacting Market
  • 11.2.1 Market Drivers
  • 11.2.2 Market Restraints
  • 11.2.3 Market Opportunities
  • 11.2.4 Market Challenges
  • 11.2.5 Market Trends
  • 11.2.6 State of Competition
  • 11.2.7 Market Consolidation
  • 11.2.8 Key Customer Criteria
• 11.3 Product Life Cycle
• 11.4 Segmentation By Enterprise Size
  • 11.4.1 Large Enterprises
  • 11.4.2 Small & Medium Enterprises
• 11.5 Segmentation By Deployment
  • 11.5.1 Cloud
  • 11.5.2 On-Premises
• 11.6 Segmentation By Component
  • 11.6.1 Software
  • 11.6.2 Services
• 11.7 Segmentation By End Use
  • 11.7.1 Manufacturing
  • 11.7.2 IT & Telecom
  • 11.7.3 Healthcare
  • 11.7.4 BFSI
  • 11.7.5 Retail & E-commerce
  • 11.7.6 Automotive
  • 11.7.7 Other End Use
• 11.8 Segmentation By Country
  • 11.8.1 US
    • 11.8.1.1 Segmentation By Enterprise Size
      • 11.8.1.1.1 Large Enterprises
      • 11.8.1.1.2 Small & Medium Enterprises
    • 11.8.1.2 Segmentation By Deployment
      • 11.8.1.2.1 Cloud
      • 11.8.1.2.2 On-Premises
    • 11.8.1.3 Segmentation By Component
      • 11.8.1.3.1 Software
      • 11.8.1.3.2 Services
    • 11.8.1.4 Segmentation By End Use
      • 11.8.1.4.1 Manufacturing
      • 11.8.1.4.2 IT & Telecom
      • 11.8.1.4.3 Healthcare
      • 11.8.1.4.4 BFSI
      • 11.8.1.4.5 Retail & E-commerce
      • 11.8.1.4.6 Automotive
      • 11.8.1.4.7 Other End Use
  • 11.8.2 Canada
    • 11.8.2.1 Segmentation By Enterprise Size
      • 11.8.2.1.1 Large Enterprises
      • 11.8.2.1.2 Small & Medium Enterprises
    • 11.8.2.2 Segmentation By Deployment
      • 11.8.2.2.1 Cloud
      • 11.8.2.2.2 On-Premises
    • 11.8.2.3 Segmentation By Component
      • 11.8.2.3.1 Software
      • 11.8.2.3.2 Services
    • 11.8.2.4 Segmentation By End Use
      • 11.8.2.4.1 Manufacturing
      • 11.8.2.4.2 IT & Telecom
      • 11.8.2.4.3 Healthcare
      • 11.8.2.4.4 BFSI
      • 11.8.2.4.5 Retail & E-commerce
      • 11.8.2.4.6 Automotive
      • 11.8.2.4.7 Other End Use
  • 11.8.3 Mexico
    • 11.8.3.1 Segmentation By Enterprise Size
      • 11.8.3.1.1 Large Enterprises
      • 11.8.3.1.2 Small & Medium Enterprises
    • 11.8.3.2 Segmentation By Deployment
      • 11.8.3.2.1 Cloud
      • 11.8.3.2.2 On-Premises
    • 11.8.3.3 Segmentation By Component
      • 11.8.3.3.1 Software
      • 11.8.3.3.2 Services
    • 11.8.3.4 Segmentation By End Use
      • 11.8.3.4.1 Manufacturing
      • 11.8.3.4.2 IT & Telecom
      • 11.8.3.4.3 Healthcare
      • 11.8.3.4.4 BFSI
      • 11.8.3.4.5 Retail & E-commerce
      • 11.8.3.4.6 Automotive
      • 11.8.3.4.7 Other End Use
  • 11.8.4 Rest of North America
    • 11.8.4.1 Segmentation By Enterprise Size
      • 11.8.4.1.1 Large Enterprises
      • 11.8.4.1.2 Small & Medium Enterprises
    • 11.8.4.2 Segmentation By Deployment
      • 11.8.4.2.1 Cloud
      • 11.8.4.2.2 On-Premises
    • 11.8.4.3 Segmentation By Component
      • 11.8.4.3.1 Software
      • 11.8.4.3.2 Services
    • 11.8.4.4 Segmentation By End Use
      • 11.8.4.4.1 Manufacturing
      • 11.8.4.4.2 IT & Telecom
      • 11.8.4.4.3 Healthcare
      • 11.8.4.4.4 BFSI
      • 11.8.4.4.5 Retail & E-commerce
      • 11.8.4.4.6 Automotive
      • 11.8.4.4.7 Other End Use

Chapter 12. Europe Market

• 12.1 Market Overview
• 12.2 Key Factors Impacting Market
  • 12.2.1 Market Drivers
  • 12.2.2 Market Restraints
  • 12.2.3 Market Opportunities
  • 12.2.4 Market Challenges
  • 12.2.5 Market Trends
  • 12.2.6 State of Competition
  • 12.2.7 Market Consolidation
  • 12.2.8 Key Customer Criteria
• 12.3 Product Life Cycle
• 12.4 Segmentation By Enterprise Size
  • 12.4.1 Large Enterprises
  • 12.4.2 Small & Medium Enterprises
• 12.5 Segmentation By Deployment
  • 12.5.1 Cloud
  • 12.5.2 On-premises
• 12.6 Segmentation By Component
  • 12.6.1 Software
  • 12.6.2 Services
• 12.7 Segmentation By End Use
  • 12.7.1 Manufacturing
  • 12.7.2 IT & Telecom
  • 12.7.3 Healthcare
  • 12.7.4 BFSI
  • 12.7.5 Retail & E-commerce
  • 12.7.6 Automotive
  • 12.7.7 Other End Use
• 12.8 Segmentation By Country
  • 12.8.1 Germany
    • 12.8.1.1 Segmentation By Enterprise Size
      • 12.8.1.1.1 Large Enterprises
      • 12.8.1.1.2 Small & Medium Enterprises
    • 12.8.1.2 Segmentation By Deployment
      • 12.8.1.2.1 Cloud
      • 12.8.1.2.2 On-Premises
    • 12.8.1.3 Segmentation By Component
      • 12.8.1.3.1 Software
      • 12.8.1.3.2 Services
    • 12.8.1.4 Segmentation By End Use
      • 12.8.1.4.1 Manufacturing
      • 12.8.1.4.2 IT & Telecom
      • 12.8.1.4.3 Healthcare
      • 12.8.1.4.4 BFSI
      • 12.8.1.4.5 Retail & E-commerce
      • 12.8.1.4.6 Automotive
      • 12.8.1.4.7 Other End Use
  • 12.8.2 UK
    • 12.8.2.1 Segmentation By Enterprise Size
      • 12.8.2.1.1 Large Enterprises
      • 12.8.2.1.2 Small & Medium Enterprises
    • 12.8.2.2 Segmentation By Deployment
      • 12.8.2.2.1 Cloud
      • 12.8.2.2.2 On-Premises
    • 12.8.2.3 Segmentation By Component
      • 12.8.2.3.1 Software
      • 12.8.2.3.2 Services
    • 12.8.2.4 Segmentation By End Use
      • 12.8.2.4.1 Manufacturing
      • 12.8.2.4.2 IT & Telecom
      • 12.8.2.4.3 Healthcare
      • 12.8.2.4.4 BFSI
      • 12.8.2.4.5 Retail & E-commerce
      • 12.8.2.4.6 Automotive
      • 12.8.2.4.7 Other End Use
  • 12.8.3 France
    • 12.8.3.1 Segmentation By Enterprise Size
      • 12.8.3.1.1 Large Enterprises
      • 12.8.3.1.2 Small & Medium Enterprises
    • 12.8.3.2 Segmentation By Deployment
      • 12.8.3.2.1 Cloud
      • 12.8.3.2.2 On-Premises
    • 12.8.3.3 Segmentation By Component
      • 12.8.3.3.1 Software
      • 12.8.3.3.2 Services
    • 12.8.3.4 Segmentation By End Use
      • 12.8.3.4.1 Manufacturing
      • 12.8.3.4.2 IT & Telecom
      • 12.8.3.4.3 Healthcare
      • 12.8.3.4.4 BFSI
      • 12.8.3.4.5 Retail & E-commerce
      • 12.8.3.4.6 Automotive
      • 12.8.3.4.7 Other End Use
  • 12.8.4 Russia
    • 12.8.4.1 Segmentation By Enterprise Size
      • 12.8.4.1.1 Large Enterprises
      • 12.8.4.1.2 Small & Medium Enterprises
    • 12.8.4.2 Segmentation By Deployment
      • 12.8.4.2.1 Cloud
      • 12.8.4.2.2 On-Premises
    • 12.8.4.3 Segmentation By Component
      • 12.8.4.3.1 Software
      • 12.8.4.3.2 Services
    • 12.8.4.4 Segmentation By End Use
      • 12.8.4.4.1 Manufacturing
      • 12.8.4.4.2 IT & Telecom
      • 12.8.4.4.3 Healthcare
      • 12.8.4.4.4 BFSI
      • 12.8.4.4.5 Retail & E-commerce
      • 12.8.4.4.6 Automotive
      • 12.8.4.4.7 Other End Use
  • 12.8.5 Spain
    • 12.8.5.1 Segmentation By Enterprise Size
      • 12.8.5.1.1 Large Enterprises
      • 12.8.5.1.2 Small & Medium Enterprises
    • 12.8.5.2 Segmentation By Deployment
      • 12.8.5.2.1 Cloud
      • 12.8.5.2.2 On-Premises
    • 12.8.5.3 Segmentation By Component
      • 12.8.5.3.1 Software
      • 12.8.5.3.2 Services
    • 12.8.5.4 Segmentation By End Use
      • 12.8.5.4.1 Manufacturing
      • 12.8.5.4.2 IT & Telecom
      • 12.8.5.4.3 Healthcare
      • 12.8.5.4.4 BFSI
      • 12.8.5.4.5 Retail & E-commerce
      • 12.8.5.4.6 Automotive
      • 12.8.5.4.7 Other End Use
  • 12.8.6 Italy
    • 12.8.6.1 Segmentation By Enterprise Size
      • 12.8.6.1.1 Large Enterprises
      • 12.8.6.1.2 Small & Medium Enterprises
    • 12.8.6.2 Segmentation By Deployment
      • 12.8.6.2.1 Cloud
      • 12.8.6.2.2 On-Premises
    • 12.8.6.3 Segmentation By Component
      • 12.8.6.3.1 Software
      • 12.8.6.3.2 Services
    • 12.8.6.4 Segmentation By End Use
      • 12.8.6.4.1 Manufacturing
      • 12.8.6.4.2 IT & Telecom
      • 12.8.6.4.3 Healthcare
      • 12.8.6.4.4 BFSI
      • 12.8.6.4.5 Retail & E-commerce
      • 12.8.6.4.6 Automotive
      • 12.8.6.4.7 Other End Use
  • 12.8.7 Rest of Europe
    • 12.8.7.1 Segmentation By Enterprise Size
      • 12.8.7.1.1 Large Enterprises
      • 12.8.7.1.2 Small & Medium Enterprises
    • 12.8.7.2 Segmentation By Deployment
      • 12.8.7.2.1 Cloud
      • 12.8.7.2.2 On-Premises
    • 12.8.7.3 Segmentation By Component
      • 12.8.7.3.1 Software
      • 12.8.7.3.2 Services
    • 12.8.7.4 Segmentation By End Use
      • 12.8.7.4.1 Manufacturing
      • 12.8.7.4.2 IT & Telecom
      • 12.8.7.4.3 Healthcare
      • 12.8.7.4.4 BFSI
      • 12.8.7.4.5 Retail & E-commerce
      • 12.8.7.4.6 Automotive
      • 12.8.7.4.7 Other End Use

Chapter 13. Asia Pacific Market

• 13.1 Market Overview
• 13.2 Key Factors Impacting Market
  • 13.2.1 Market Drivers
  • 13.2.2 Market Restraints
  • 13.2.3 Market Opportunities
  • 13.2.4 Market Challenges
  • 13.2.5 Market Trends
  • 13.2.6 State of Competition
  • 13.2.7 Market Consolidation
  • 13.2.8 Key Customer Criteria
• 13.3 Product Life Cycle
• 13.4 Segmentation By Enterprise Size
  • 13.4.1 Large Enterprises
  • 13.4.2 Small & Medium Enterprises
• 13.5 Segmentation By Deployment
  • 13.5.1 Cloud
  • 13.5.2 On-premises
• 13.6 Segmentation By Component
  • 13.6.1 Software
  • 13.6.2 Services
• 13.7 Segmentation By End Use
  • 13.7.1 Manufacturing
  • 13.7.2 IT & Telecom
  • 13.7.3 Healthcare
  • 13.7.4 BFSI
  • 13.7.5 Retail & E-commerce
  • 13.7.6 Automotive
  • 13.7.7 Other End Use
• 13.8 Segmentation By Country
  • 13.8.1 China
    • 13.8.1.1 Segmentation By Enterprise Size
      • 13.8.1.1.1 Large Enterprises
      • 13.8.1.1.2 Small & Medium Enterprises
    • 13.8.1.2 Segmentation By Deployment
      • 13.8.1.2.1 Cloud
      • 13.8.1.2.2 On-Premises
    • 13.8.1.3 Segmentation By Component
      • 13.8.1.3.1 Software
      • 13.8.1.3.2 Services
    • 13.8.1.4 Segmentation By End Use
      • 13.8.1.4.1 Manufacturing
      • 13.8.1.4.2 IT & Telecom
      • 13.8.1.4.3 Healthcare
      • 13.8.1.4.4 BFSI
      • 13.8.1.4.5 Retail & E-commerce
      • 13.8.1.4.6 Automotive
      • 13.8.1.4.7 Other End Use
  • 13.8.2 Japan
    • 13.8.2.1 Segmentation By Enterprise Size
      • 13.8.2.1.1 Large Enterprises
      • 13.8.2.1.2 Small & Medium Enterprises
    • 13.8.2.2 Segmentation By Deployment
      • 13.8.2.2.1 Cloud
      • 13.8.2.2.2 On-Premises
    • 13.8.2.3 Segmentation By Component
      • 13.8.2.3.1 Software
      • 13.8.2.3.2 Services
    • 13.8.2.4 Segmentation By End Use
      • 13.8.2.4.1 Manufacturing
      • 13.8.2.4.2 IT & Telecom
      • 13.8.2.4.3 Healthcare
      • 13.8.2.4.4 BFSI
      • 13.8.2.4.5 Retail & E-commerce
      • 13.8.2.4.6 Automotive
      • 13.8.2.4.7 Other End Use
  • 13.8.3 India
    • 13.8.3.1 Segmentation By Enterprise Size
      • 13.8.3.1.1 Large Enterprises
      • 13.8.3.1.2 Small & Medium Enterprises
    • 13.8.3.2 Segmentation By Deployment
      • 13.8.3.2.1 Cloud
      • 13.8.3.2.2 On-Premises
    • 13.8.3.3 Segmentation By Component
      • 13.8.3.3.1 Software
      • 13.8.3.3.2 Services
    • 13.8.3.4 Segmentation By End Use
      • 13.8.3.4.1 Manufacturing
      • 13.8.3.4.2 IT & Telecom
      • 13.8.3.4.3 Healthcare
      • 13.8.3.4.4 BFSI
      • 13.8.3.4.5 Retail & E-commerce
      • 13.8.3.4.6 Automotive
      • 13.8.3.4.7 Other End Use
  • 13.8.4 South Korea
    • 13.8.4.1 Segmentation By Enterprise Size
      • 13.8.4.1.1 Large Enterprises
      • 13.8.4.1.2 Small & Medium Enterprises
    • 13.8.4.2 Segmentation By Deployment
      • 13.8.4.2.1 Cloud
      • 13.8.4.2.2 On-Premises
    • 13.8.4.3 Segmentation By Component
      • 13.8.4.3.1 Software
      • 13.8.4.3.2 Services
    • 13.8.4.4 Segmentation By End Use
      • 13.8.4.4.1 Manufacturing
      • 13.8.4.4.2 IT & Telecom
      • 13.8.4.4.3 Healthcare
      • 13.8.4.4.4 BFSI
      • 13.8.4.4.5 Retail & E-commerce
      • 13.8.4.4.6 Automotive
      • 13.8.4.4.7 Other End Use
  • 13.8.5 Singapore
    • 13.8.5.1 Segmentation By Enterprise Size
      • 13.8.5.1.1 Large Enterprises
      • 13.8.5.1.2 Small & Medium Enterprises
    • 13.8.5.2 Segmentation By Deployment
      • 13.8.5.2.1 Cloud
      • 13.8.5.2.2 On-Premises
    • 13.8.5.3 Segmentation By Component
      • 13.8.5.3.1 Software
      • 13.8.5.3.2 Services
    • 13.8.5.4 Segmentation By End Use
      • 13.8.5.4.1 Manufacturing
      • 13.8.5.4.2 IT & Telecom
      • 13.8.5.4.3 Healthcare
      • 13.8.5.4.4 BFSI
      • 13.8.5.4.5 Retail & E-commerce
      • 13.8.5.4.6 Automotive
      • 13.8.5.4.7 Other End Use
  • 13.8.6 Malaysia
    • 13.8.6.1 Segmentation By Enterprise Size
      • 13.8.6.1.1 Large Enterprises
      • 13.8.6.1.2 Small & Medium Enterprises
    • 13.8.6.2 Segmentation By Deployment
      • 13.8.6.2.1 Cloud
      • 13.8.6.2.2 On-Premises
    • 13.8.6.3 Segmentation By Component
      • 13.8.6.3.1 Software
      • 13.8.6.3.2 Services
    • 13.8.6.4 Segmentation By End Use
      • 13.8.6.4.1 Manufacturing
      • 13.8.6.4.2 IT & Telecom
      • 13.8.6.4.3 Healthcare
      • 13.8.6.4.4 BFSI
      • 13.8.6.4.5 Retail & E-commerce
      • 13.8.6.4.6 Automotive
      • 13.8.6.4.7 Other End Use
  • 13.8.7 Rest of Asia Pacific
    • 13.8.7.1 Segmentation By Enterprise Size
      • 13.8.7.1.1 Large Enterprises
      • 13.8.7.1.2 Small & Medium Enterprises
    • 13.8.7.2 Segmentation By Deployment
      • 13.8.7.2.1 Cloud
      • 13.8.7.2.2 On-Premises
    • 13.8.7.3 Segmentation By Component
      • 13.8.7.3.1 Software
      • 13.8.7.3.2 Services
    • 13.8.7.4 Segmentation By End Use
      • 13.8.7.4.1 Manufacturing
      • 13.8.7.4.2 IT & Telecom
      • 13.8.7.4.3 Healthcare
      • 13.8.7.4.4 BFSI
      • 13.8.7.4.5 Retail & E-commerce
      • 13.8.7.4.6 Automotive
      • 13.8.7.4.7 Other End Use

Chapter 14. LAMEA Market

• 14.1 Market Overview
• 14.2 Key Factors Impacting Market
  • 14.2.1 Market Drivers
  • 14.2.2 Market Restraints
  • 14.2.3 Market Opportunities
  • 14.2.4 Market Challenges
  • 14.2.5 Market Trends
  • 14.2.6 State of Competition
  • 14.2.7 Market Consolidation
  • 14.2.8 Key Customer Criteria
• 14.3 Product Life Cycle
• 14.4 Segmentation By Enterprise Size
  • 14.4.1 Large Enterprises
  • 14.4.2 Small & Medium Enterprises
• 14.5 Segmentation By Deployment
  • 14.5.1 Cloud
  • 14.5.2 On-premises
• 14.6 Segmentation By Component
  • 14.6.1 Software
  • 14.6.2 Services
• 14.7 Segmentation By End Use
  • 14.7.1 Manufacturing
  • 14.7.2 IT & Telecom
  • 14.7.3 Healthcare
  • 14.7.4 BFSI
  • 14.7.5 Retail & E-commerce
  • 14.7.6 Automotive
  • 14.7.7 Other End Use
• 14.8 Segmentation By Country
  • 14.8.1 Brazil
    • 14.8.1.1 Segmentation By Enterprise Size
      • 14.8.1.1.1 Large Enterprises
      • 14.8.1.1.2 Small & Medium Enterprises
    • 14.8.1.2 Segmentation By Deployment
      • 14.8.1.2.1 Cloud
      • 14.8.1.2.2 On-Premises
    • 14.8.1.3 Segmentation By Component
      • 14.8.1.3.1 Software
      • 14.8.1.3.2 Services
    • 14.8.1.4 Segmentation By End Use
      • 14.8.1.4.1 Manufacturing
      • 14.8.1.4.2 IT & Telecom
      • 14.8.1.4.3 Healthcare
      • 14.8.1.4.4 BFSI
      • 14.8.1.4.5 Retail & E-commerce
      • 14.8.1.4.6 Automotive
      • 14.8.1.4.7 Other End Use
  • 14.8.2 Argentina
    • 14.8.2.1 Segmentation By Enterprise Size
      • 14.8.2.1.1 Large Enterprises
      • 14.8.2.1.2 Small & Medium Enterprises
    • 14.8.2.2 Segmentation By Deployment
      • 14.8.2.2.1 Cloud
      • 14.8.2.2.2 On-Premises
    • 14.8.2.3 Segmentation By Component
      • 14.8.2.3.1 Software
      • 14.8.2.3.2 Services
    • 14.8.2.4 Segmentation By End Use
      • 14.8.2.4.1 Manufacturing
      • 14.8.2.4.2 IT & Telecom
      • 14.8.2.4.3 Healthcare
      • 14.8.2.4.4 BFSI
      • 14.8.2.4.5 Retail & E-commerce
      • 14.8.2.4.6 Automotive
      • 14.8.2.4.7 Other End Use
  • 14.8.3 UAE
    • 14.8.3.1 Segmentation By Enterprise Size
      • 14.8.3.1.1 Large Enterprises
      • 14.8.3.1.2 Small & Medium Enterprises
    • 14.8.3.2 Segmentation By Deployment
      • 14.8.3.2.1 Cloud
      • 14.8.3.2.2 On-Premises
    • 14.8.3.3 Segmentation By Component
      • 14.8.3.3.1 Software
      • 14.8.3.3.2 Services
    • 14.8.3.4 Segmentation By End Use
      • 14.8.3.4.1 Manufacturing
      • 14.8.3.4.2 IT & Telecom
      • 14.8.3.4.3 Healthcare
      • 14.8.3.4.4 BFSI
      • 14.8.3.4.5 Retail & E-commerce
      • 14.8.3.4.6 Automotive
      • 14.8.3.4.7 Other End Use
  • 14.8.4 Saudi Arabia
    • 14.8.4.1 Segmentation By Enterprise Size
      • 14.8.4.1.1 Large Enterprises
      • 14.8.4.1.2 Small & Medium Enterprises
    • 14.8.4.2 Segmentation By Deployment
      • 14.8.4.2.1 Cloud
      • 14.8.4.2.2 On-Premises
    • 14.8.4.3 Segmentation By Component
      • 14.8.4.3.1 Software
      • 14.8.4.3.2 Services
    • 14.8.4.4 Segmentation By End Use
      • 14.8.4.4.1 Manufacturing
      • 14.8.4.4.2 IT & Telecom
      • 14.8.4.4.3 Healthcare
      • 14.8.4.4.4 BFSI
      • 14.8.4.4.5 Retail & E-commerce
      • 14.8.4.4.6 Automotive
      • 14.8.4.4.7 Other End Use
  • 14.8.5 South Africa
    • 14.8.5.1 Segmentation By Enterprise Size
      • 14.8.5.1.1 Large Enterprises
      • 14.8.5.1.2 Small & Medium Enterprises
    • 14.8.5.2 Segmentation By Deployment
      • 14.8.5.2.1 Cloud
      • 14.8.5.2.2 On-Premises
    • 14.8.5.3 Segmentation By Component
      • 14.8.5.3.1 Software
      • 14.8.5.3.2 Services
    • 14.8.5.4 Segmentation By End Use
      • 14.8.5.4.1 Manufacturing
      • 14.8.5.4.2 IT & Telecom
      • 14.8.5.4.3 Healthcare
      • 14.8.5.4.4 BFSI
      • 14.8.5.4.5 Retail & E-commerce
      • 14.8.5.4.6 Automotive
      • 14.8.5.4.7 Other End Use
  • 14.8.6 Nigeria
    • 14.8.6.1 Segmentation By Enterprise Size
      • 14.8.6.1.1 Large Enterprises
      • 14.8.6.1.2 Small & Medium Enterprises
    • 14.8.6.2 Segmentation By Deployment
      • 14.8.6.2.1 Cloud
      • 14.8.6.2.2 On-Premises
    • 14.8.6.3 Segmentation By Component
      • 14.8.6.3.1 Software
      • 14.8.6.3.2 Services
    • 14.8.6.4 Segmentation By End Use
      • 14.8.6.4.1 Manufacturing
      • 14.8.6.4.2 IT & Telecom
      • 14.8.6.4.3 Healthcare
      • 14.8.6.4.4 BFSI
      • 14.8.6.4.5 Retail & E-commerce
      • 14.8.6.4.6 Automotive
      • 14.8.6.4.7 Other End Use
  • 14.8.7 Rest of LAMEA
    • 14.8.7.1 Segmentation By Enterprise Size
      • 14.8.7.1.1 Large Enterprises
      • 14.8.7.1.2 Small & Medium Enterprises
    • 14.8.7.2 Segmentation By Deployment
      • 14.8.7.2.1 Cloud
      • 14.8.7.2.2 On-Premises
    • 14.8.7.3 Segmentation By Component
      • 14.8.7.3.1 Software
      • 14.8.7.3.2 Services
    • 14.8.7.4 Segmentation By End Use
      • 14.8.7.4.1 Manufacturing
      • 14.8.7.4.2 IT & Telecom
      • 14.8.7.4.3 Healthcare
      • 14.8.7.4.4 BFSI
      • 14.8.7.4.5 Retail & E-commerce
      • 14.8.7.4.6 Automotive
      • 14.8.7.4.7 Other End Use

Chapter 15. Company Snapshots

• 15.1 Salesforce, Inc.
  • 15.1.1 Business Overview
  • 15.1.2 Key Information
  • 15.1.3 Company Focus on CPQ Software Market
  • 15.1.4 Strategic Insights
  • 15.1.5 Strategy Deployed
  • 15.1.6 Product & Service Portfolio
  • 15.1.7 Representative Products
  • 15.1.8 Capability Overview
  • 15.1.9 Technology & Innovation Focus
  • 15.1.10 SWOT Analysis
  • 15.1.11 Customers / End Users
  • 15.1.12 Competitive Positioning
  • 15.1.13 Key Differentiators
  • 15.1.14 Portfolio Matrix
  • 15.1.15 Analyst View
  • 15.1.16 Future Outlook
• 15.2 Oracle Corporation
  • 15.2.1 Business Overview
  • 15.2.2 Key Information
  • 15.2.3 Company Focus on CPQ Software Market
  • 15.2.4 Strategic Insights
  • 15.2.5 Strategy Deployed
  • 15.2.6 Product & Service Portfolio
  • 15.2.7 Representative Products
  • 15.2.8 Capability Overview
  • 15.2.9 Technology & Innovation Focus
  • 15.2.10 SWOT Analysis
  • 15.2.11 Customers / End Users
  • 15.2.12 Competitive Positioning
  • 15.2.13 Key Differentiators
  • 15.2.14 Portfolio Matrix
  • 15.2.15 Analyst View
  • 15.2.16 Future Outlook
• 15.3 SAP SE
  • 15.3.1 Business Overview
  • 15.3.2 Key Information
  • 15.3.3 Company Focus on CPQ Software Market
  • 15.3.4 Strategic Insights on CPQ Software Market
  • 15.3.5 Strategy Deployed
  • 15.3.6 Product & Service Portfolio
  • 15.3.7 Representative Products
  • 15.3.8 Capability Overview
  • 15.3.9 Technology & Innovation Focus
  • 15.3.10 SWOT Analysis
  • 15.3.11 Customers / End Users
  • 15.3.12 Competitive Positioning
  • 15.3.13 Key Differentiators
  • 15.3.14 Portfolio Matrix
  • 15.3.15 Analyst View
  • 15.3.16 Future Outlook
• 15.4 Conga
  • 15.4.1 Business Overview
  • 15.4.2 Key Information
  • 15.4.3 Company Focus on CPQ Software Market
  • 15.4.4 Strategic Insights
  • 15.4.5 Strategy Deployed
  • 15.4.6 Product & Service Portfolio
  • 15.4.7 Representative Products
  • 15.4.8 Capability Overview
  • 15.4.9 Technology & Innovation Focus
  • 15.4.10 SWOT Analysis
  • 15.4.11 Customers / End Users
  • 15.4.12 Competitive Positioning
  • 15.4.13 Key Differentiators
  • 15.4.14 Portfolio Matrix
  • 15.4.15 Analyst View
  • 15.4.16 Future Outlook
• 15.5 PROS Holdings, Inc.
  • 15.5.1 Business Overview
  • 15.5.2 Key Information
  • 15.5.3 Company Focus on CPQ Software Market
  • 15.5.4 Strategic Insights
  • 15.5.5 Strategy Deployed
  • 15.5.6 Product & Service Portfolio
  • 15.5.7 Representative Products
  • 15.5.8 Capability Overview
  • 15.5.9 Technology & Innovation Focus
  • 15.5.10 SWOT Analysis
  • 15.5.11 Customers / End Users
  • 15.5.12 Competitive Positioning
  • 15.5.13 Key Differentiators
  • 15.5.14 Portfolio Matrix
  • 15.5.15 Analyst View
  • 15.5.16 Future Outlook
• 15.6 Tacton Systems AB
  • 15.6.1 Business Overview
  • 15.6.2 Key Information
  • 15.6.3 Company Focus on CPQ Software Market
  • 15.6.4 Strategic Insights
  • 15.6.5 Strategy Deployed
  • 15.6.6 Product & Service Portfolio
  • 15.6.7 Representative Products
  • 15.6.8 Capability Overview
  • 15.6.9 Technology & Innovation Focus
  • 15.6.10 SWOT Analysis
  • 15.6.11 Customers / End Users
  • 15.6.12 Competitive Positioning
  • 15.6.13 Key Differentiators
  • 15.6.14 Portfolio Matrix
  • 15.6.15 Analyst View
  • 15.6.16 Future Outlook
• 15.7 Experlogix, Inc.
  • 15.7.1 Business Overview
  • 15.7.2 Key Information
  • 15.7.3 Company Focus on CPQ Software Market
  • 15.7.4 Strategic Insights
  • 15.7.5 Strategy Deployed
  • 15.7.6 Product & Service Portfolio
  • 15.7.7 Representative Products
  • 15.7.8 Capability Overview
  • 15.7.9 Technology & Innovation Focus
  • 15.7.10 SWOT Analysis
  • 15.7.11 Customers / End Users
  • 15.7.12 Competitive Positioning
  • 15.7.13 Key Differentiators
  • 15.7.14 Portfolio Matrix
  • 15.7.15 Analyst View
  • 15.7.16 Future Outlook
• 15.8 DealHub Ltd.
  • 15.8.1 Business Overview
  • 15.8.2 Key Information
  • 15.8.3 Company Focus on CPQ Software Market
  • 15.8.4 Strategic Insights
  • 15.8.5 Strategy Deployed
  • 15.8.6 Product & Service Portfolio
  • 15.8.7 Representative Products
  • 15.8.8 Capability Overview
  • 15.8.9 Technology & Innovation Focus
  • 15.8.10 SWOT Analysis
  • 15.8.11 Customers / End Users
  • 15.8.12 Competitive Positioning
  • 15.8.13 Key Differentiators
  • 15.8.14 Portfolio Matrix
  • 15.8.15 Analyst View
  • 15.8.16 Future Outlook
• 15.9 Epicor Software Corporation
  • 15.9.1 Business Overview
  • 15.9.2 Key Information
  • 15.9.3 Company Focus on CPQ Software Market
  • 15.9.4 Strategic Insights
  • 15.9.5 Strategy Deployed
  • 15.9.6 Product & Service Portfolio
  • 15.9.7 Representative Products
  • 15.9.8 Capability Overview
  • 15.9.9 Technology & Innovation Focus
  • 15.9.10 SWOT Analysis
  • 15.9.11 Customers / End Users
  • 15.9.12 Competitive Positioning
  • 15.9.13 Key Differentiators
  • 15.9.14 Portfolio Matrix
  • 15.9.15 Analyst View
  • 15.9.16 Future Outlook
• 15.10 Cincom Systems, Inc.
  • 15.10.1 Business Overview
  • 15.10.2 Key Information
  • 15.10.3 Company Focus on Cincom Systems, Inc.
  • 15.10.4 Strategic Insights
  • 15.10.5 Strategy Deployed
  • 15.10.6 Product & Service Portfolio
  • 15.10.7 Representative Products
  • 15.10.8 Capability Overview
  • 15.10.9 Technology & Innovation Focus
  • 15.10.10 SWOT Analysis
  • 15.10.11 Customers / End Users
  • 15.10.12 Competitive Positioning
  • 15.10.13 Key Differentiators
  • 15.10.14 Portfolio Matrix
  • 15.10.15 Analyst View
  • 15.10.16 Future Outlook

Chapter 16. Winning Imperatives of CPQ Software Market