Industry: Service & Software
Published Date: 2026-01-05
Pages: 144 Pages
Report ld: 5509701
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Price Optimisation Software Market Size(US$)

CAGR 2026-2032
7.9%
Market Size,2032
USD 2,510
Million
Market Snapshot
Source: Secondary research, interviews with experts, and QYResearch analysis
The global market for Price Optimisation Software was estimated to be worth US$ 1483 million in 2025 and is projected to reach US$ 2510 million, growing at a CAGR of 7.9% from 2026 to 2032.
Pricing optimization software are tools used by merchants selling products through eCommerce channels and websites, and provides a means of managing the pricing of product listings to gain a competitive edge. Popular techniques applied by price optimization tools are AI driven given the mathematical complexity involved. This software can analyze, manage and identify the best price points by methods such as analyzing data in the user’s Customer Relationship Management (CRM) system, which helps set consumer-specific pricing and offers features such as discounts and rebates. This method is also valuable for identifying customer reactions to price changes and specific price points.
Market Development Opportunities & Main Driving Factors
Price optimisation software is rapidly evolving from a tactical analytics tool into a strategic layer for profit growth and inflation management. Equity research and market studies consistently highlight that, amid rising e-commerce penetration, greater price transparency and more volatile demand and cost patterns, retailers, CPG companies, travel operators and industrial suppliers are all turning to algorithmic pricing to protect margins and grow revenue, driving robust market expansion for price optimisation and dynamic pricing platforms. Airlines, hotels and B2B software vendors explicitly reference advanced revenue management and pricing engines in their annual reports as key enablers of yield optimisation across complex fare structures and subscription contracts, underlining that pricing science is becoming a board-level capability rather than a back-office function. Cloud delivery and SaaS models further reduce adoption barriers, while the integration of machine learning and generative AI into demand forecasting, elasticity modelling and micro-segmentation is turning price optimisation from a single-vertical tool into a horizontal platform spanning retail, e-commerce, industrial distribution, SaaS and logistics.
Market Challenges, Risks, & Restraints
Despite strong momentum, price optimisation software faces significant hurdles around data readiness, regulation and competitive dynamics. Effective pricing engines depend on clean, integrated data from ERP, CRM, OMS, e-commerce and in-store POS systems, yet many enterprises still struggle with fragmented master data and inconsistent transaction histories, stretching project timelines and diluting realised ROI. In B2C retail, the rise of electronic shelf labels, real-time repricing and AI-driven engines has already triggered public and political scrutiny, with lawmakers and consumer advocates warning about the risks of algorithmic price discrimination and “stealth inflation” on essential goods. At the same time, the competitive field is crowding: specialist pricing vendors now compete not only with each other but also with CRM, ERP and commerce platforms that are embedding pricing modules as standard features, accelerating commoditisation of basic capabilities. This forces pure-play providers to differentiate through deep vertical expertise, scenario-rich use cases and high-touch advisory services rather than relying on generic analytics alone.
Downstream Demand Trends
On the demand side, price optimisation software is spreading both deeper within early-adopter verticals and outward into new industries. Retail and e-commerce remain the largest application areas, where leading chains and marketplaces are tying optimisation engines to promotion systems, ESL infrastructure and inventory planning to execute highly granular, location- and segment-specific price moves and margin management. In parallel, manufacturers, industrial distributors and complex B2B sectors are deploying price optimisation within quoting and contract lifecycle workflows to incorporate cost volatility, competitor pricing and customer value tiers, improving win rates and profitability on long-term agreements. As subscription and usage-based models proliferate, SaaS, cloud and digital-content providers are highlighting in their investor communications how packaging, tiering and personalised discounting—often powered by dedicated pricing software—are central to improving ARPU, retention and expansion economics. Looking ahead, broader adoption by mid-market firms via cloud-based and managed offerings, together with rapid growth of modern retail and digital channels in emerging markets, is likely to keep downstream demand for price optimisation software strong as companies seek a balance between monetising pricing power and maintaining trust under increasing regulatory and consumer scrutiny.
This report provides a comprehensive view of the global market for Price Optimisation Software, covering total sales revenue, the market share and ranking of key companies, along with analyses by region & country, by Type, and by End User.
The Price Optimisation Software market size, estimations, and forecasts are presented in terms of sales revenue ($ millions), with 2025 as the base year and historical and forecast data from 2021 to 2032. The report combines quantitative and qualitative analysis to help readers develop growth strategies, assess the competitive landscape, evaluate their position in the current marketplace, and make informed business decisions regarding Price Optimisation Software.
MARKET SEGMENTATION
CHAPTER OUTLINE
Chapter 1: Introduces the scope of the report and the global market size (value). It also summarizes market dynamics and recent developments; identifies key drivers and restraints; outlines challenges and risks for players; reviews relevant industry policies.
Chapter 2: Provides a detailed analysis of the Price Optimisation Software companies' competitive landscape—including revenue shares, recent development plans, and mergers and acquisitions (M&A).
Chapter 3: Analyzes market segmentation by Type, presenting the size and growth potential of each segment to help readers identify blue-ocean opportunities.
Chapter 4: Analyzes market segmentation by End User, presenting the size and growth potential of each downstream segment to help readers identify blue-ocean opportunities.
Chapter 5: Presents Price Optimisation Software revenue at the regional level. It offers a quantitative assessment of market size and growth potential by region and summarizes market development, future prospects, addressable space, and country-level market size worldwide.
Chapter 6: Presents Price Optimisation Software revenue at the country level. It provides segmented data by Type and by End User for each country/region.
Chapter 7: Profiles key players, detailing the main companies' product revenue, gross margin, product portfolios, recent developments, etc.
Chapter 8: Analysis of Value Chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
QYRESEARCH'S STRENGTHS
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TABLE OF CONTENTS
1 Market Overview
1.1 Price Optimisation Software Product Introduction
1.2 Global Price Optimisation Software Market Size Forecast (2021–2032)
1.3 Price Optimisation Software Market Trends & Drivers
1.3.1 Price Optimisation Software Industry Trends
1.3.2 Price Optimisation Software Market Drivers & Opportunities
1.3.3 Price Optimisation Software Market Challenges
1.3.4 Price Optimisation Software Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Price Optimisation Software Players Revenue Ranking (2025)
2.2 Global Price Optimisation Software Revenue by Company (2021–2026)
2.3 Key Companies’ R&D and Operations Footprint and Headquarters
2.4 Key Companies Price Optimisation Software Product Offerings
2.5 Key Companies General Availability (GA) Timeline for Price Optimisation Software
2.6 Price Optimisation Software Market Competitive Analysis
2.6.1 Price Optimisation Software Market Concentration Rate (2021–2026)
2.6.2 Top 5 and Top 10 Global Companies by Price Optimisation Software Revenue in 2025
2.6.3 Global Companies by Tier (Tier 1, Tier 2, Tier 3), based on Price Optimisation Software revenue, 2025
2.7 Mergers & Acquisitions and Expansion
3 Segmentation Price Optimisation Software Market Classification
3.1 Introduction by Type
3.1.1 Cloud Based
3.1.2 On-Premise
3.1.3 Global Price Optimisation Software Sales Value by Type
3.1.3.1 Global Price Optimisation Software Sales Value by Type (2021 vs 2025 vs 2032)
3.1.3.2 Global Price Optimisation Software Sales Value, by Type (2021–2032)
3.1.3.3 Global Price Optimisation Software Sales Value, by Type (%), 2021–2032
3.2 Introduction by Pricing Model
3.2.1 Subscription Model
3.2.2 Volume Based
3.2.3 Others
3.2.4 Global Price Optimisation Software Sales Value by Pricing Model
3.2.4.1 Global Price Optimisation Software Sales Value by Pricing Model (2021 vs 2025 vs 2032)
3.2.4.2 Global Price Optimisation Software Sales Value, by Pricing Model (2021–2032)
3.2.4.3 Global Price Optimisation Software Sales Value, by Pricing Model (%), 2021–2032
3.3 Introduction by Data Dependency Type
3.3.1 Internal Data-Driven
3.3.2 Competitor Data-Driven
3.3.3 Hybrid Data-Driven
3.3.4 Customer Behavior-Driven
3.3.5 Global Price Optimisation Software Sales Value by Data Dependency Type
3.3.5.1 Global Price Optimisation Software Sales Value by Data Dependency Type (2021 vs 2025 vs 2032)
3.3.5.2 Global Price Optimisation Software Sales Value, by Data Dependency Type (2021–2032)
3.3.5.3 Global Price Optimisation Software Sales Value, by Data Dependency Type (%), 2021–2032
3.4 Introduction by Downstream Industry
3.4.1 CPG & General Retail
3.4.2 Airlines & Transportation
3.4.3 Hospitality & Travel
3.4.4 Industrial B2B
3.4.5 Others
3.4.6 Global Price Optimisation Software Sales Value by Downstream Industry
3.4.6.1 Global Price Optimisation Software Sales Value by Downstream Industry (2021 vs 2025 vs 2032)
3.4.6.2 Global Price Optimisation Software Sales Value, by Downstream Industry (2021–2032)
3.4.6.3 Global Price Optimisation Software Sales Value, by Downstream Industry (%), 2021–2032
4 Segmentation by End User
4.1 Introduction by End User
4.1.1 Large Enterprises
4.1.2 SMEs
4.2 Global Price Optimisation Software Sales Value by End User
4.2.1 Global Price Optimisation Software Sales Value by End User (2021 vs 2025 vs 2032)
4.2.2 Global Price Optimisation Software Sales Value by End User (2021–2032)
4.2.3 Global Price Optimisation Software Sales Value by End User (%), 2021–2032
5 Segmentation by Region
5.1 Global Price Optimisation Software Sales Value by Region
5.1.1 Global Price Optimisation Software Sales Value by Region: 2021 vs 2025 vs 2032
5.1.2 Global Price Optimisation Software Sales Value by Region (2021–2026)
5.1.3 Global Price Optimisation Software Sales Value by Region (2027–2032)
5.1.4 Global Price Optimisation Software Sales Value by Region (%), 2021–2032
5.2 North America
5.2.1 North America Price Optimisation Software Sales Value, 2021–2032
5.2.2 North America Price Optimisation Software Sales Value by Country (%), 2025 vs 2032
5.3 Europe
5.3.1 Europe Price Optimisation Software Sales Value, 2021–2032
5.3.2 Europe Price Optimisation Software Sales Value by Country (%), 2025 vs 2032
5.4 Asia Pacific
5.4.1 Asia Pacific Price Optimisation Software Sales Value, 2021–2032
5.4.2 Asia Pacific Price Optimisation Software Sales Value by Subregion (%), 2025 vs 2032
5.5 South America
5.5.1 South America Price Optimisation Software Sales Value, 2021–2032
5.5.2 South America Price Optimisation Software Sales Value by Country (%), 2025 vs 2032
5.6 Middle East & Africa
5.6.1 Middle East & Africa Price Optimisation Software Sales Value, 2021–2032
5.6.2 Middle East & Africa Price Optimisation Software Sales Value by Country (%), 2025 vs 2032
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Price Optimisation Software Sales Value Growth Trends, 2021 vs 2025 vs 2032
6.2 Key Countries/Regions Price Optimisation Software Sales Value, 2021–2032
6.3 United States
6.3.1 United States Price Optimisation Software Sales Value, 2021–2032
6.3.2 United States Price Optimisation Software Sales Value by Type (%), 2025 vs 2032
6.3.3 United States Price Optimisation Software Sales Value by End User, 2025 vs 2032
6.4 Europe
6.4.1 Europe Price Optimisation Software Sales Value, 2021–2032
6.4.2 Europe Price Optimisation Software Sales Value by Type (%), 2025 vs 2032
6.4.3 Europe Price Optimisation Software Sales Value by End User, 2025 vs 2032
6.5 China
6.5.1 China Price Optimisation Software Sales Value, 2021–2032
6.5.2 China Price Optimisation Software Sales Value by Type (%), 2025 vs 2032
6.5.3 China Price Optimisation Software Sales Value by End User, 2025 vs 2032
6.6 Japan
6.6.1 Japan Price Optimisation Software Sales Value, 2021–2032
6.6.2 Japan Price Optimisation Software Sales Value by Type (%), 2025 vs 2032
6.6.3 Japan Price Optimisation Software Sales Value by End User, 2025 vs 2032
6.7 South Korea
6.7.1 South Korea Price Optimisation Software Sales Value, 2021–2032
6.7.2 South Korea Price Optimisation Software Sales Value by Type (%), 2025 vs 2032
6.7.3 South Korea Price Optimisation Software Sales Value by End User, 2025 vs 2032
6.8 Southeast Asia
6.8.1 Southeast Asia Price Optimisation Software Sales Value, 2021–2032
6.8.2 Southeast Asia Price Optimisation Software Sales Value by Type (%), 2025 vs 2032
6.8.3 Southeast Asia Price Optimisation Software Sales Value by End User, 2025 vs 2032
6.9 India
6.9.1 India Price Optimisation Software Sales Value, 2021–2032
6.9.2 India Price Optimisation Software Sales Value by Type (%), 2025 vs 2032
6.9.3 India Price Optimisation Software Sales Value by End User, 2025 vs 2032
7 Company Profiles
7.1 McKinsey
7.1.1 McKinsey Profile
7.1.2 McKinsey Main Business
7.1.3 McKinsey Price Optimisation Software Products, Services, and Solutions
7.1.4 McKinsey Price Optimisation Software Revenue (US$ Million), 2021–2026
7.1.5 McKinsey Recent Developments
7.2 Blue Yonder
7.2.1 Blue Yonder Profile
7.2.2 Blue Yonder Main Business
7.2.3 Blue Yonder Price Optimisation Software Products, Services, and Solutions
7.2.4 Blue Yonder Price Optimisation Software Revenue (US$ Million), 2021–2026
7.2.5 Blue Yonder Recent Developments
7.3 PROS
7.3.1 PROS Profile
7.3.2 PROS Main Business
7.3.3 PROS Price Optimisation Software Products, Services, and Solutions
7.3.4 PROS Price Optimisation Software Revenue (US$ Million), 2021–2026
7.3.5 PROS Recent Developments
7.4 Vendavo
7.4.1 Vendavo Profile
7.4.2 Vendavo Main Business
7.4.3 Vendavo Price Optimisation Software Products, Services, and Solutions
7.4.4 Vendavo Price Optimisation Software Revenue (US$ Million), 2021–2026
7.4.5 Vendavo Recent Developments
7.5 Vistaar Technologies
7.5.1 Vistaar Technologies Profile
7.5.2 Vistaar Technologies Main Business
7.5.3 Vistaar Technologies Price Optimisation Software Products, Services, and Solutions
7.5.4 Vistaar Technologies Price Optimisation Software Revenue (US$ Million), 2021–2026
7.5.5 Vistaar Technologies Recent Developments
7.6 Zilliant
7.6.1 Zilliant Profile
7.6.2 Zilliant Main Business
7.6.3 Zilliant Price Optimisation Software Products, Services, and Solutions
7.6.4 Zilliant Price Optimisation Software Revenue (US$ Million), 2021–2026
7.6.5 Zilliant Recent Developments
7.7 Pricefx
7.7.1 Pricefx Profile
7.7.2 Pricefx Main Business
7.7.3 Pricefx Price Optimisation Software Products, Services, and Solutions
7.7.4 Pricefx Price Optimisation Software Revenue (US$ Million), 2021–2026
7.7.5 Pricefx Recent Developments
7.8 xSellco
7.8.1 xSellco Profile
7.8.2 xSellco Main Business
7.8.3 xSellco Price Optimisation Software Products, Services, and Solutions
7.8.4 xSellco Price Optimisation Software Revenue (US$ Million), 2021–2026
7.8.5 xSellco Recent Developments
7.9 Intelligence Node
7.9.1 Intelligence Node Profile
7.9.2 Intelligence Node Main Business
7.9.3 Intelligence Node Price Optimisation Software Products, Services, and Solutions
7.9.4 Intelligence Node Price Optimisation Software Revenue (US$ Million), 2021–2026
7.9.5 Intelligence Node Recent Developments
7.10 Price2Spy
7.10.1 Price2Spy Profile
7.10.2 Price2Spy Main Business
7.10.3 Price2Spy Price Optimisation Software Products, Services, and Solutions
7.10.4 Price2Spy Price Optimisation Software Revenue (US$ Million), 2021–2026
7.10.5 Price2Spy Recent Developments
7.11 Competera
7.11.1 Competera Profile
7.11.2 Competera Main Business
7.11.3 Competera Price Optimisation Software Products, Services, and Solutions
7.11.4 Competera Price Optimisation Software Revenue (US$ Million), 2021–2026
7.11.5 Competera Recent Developments
7.12 BQool
7.12.1 BQool Profile
7.12.2 BQool Main Business
7.12.3 BQool Price Optimisation Software Products, Services, and Solutions
7.12.4 BQool Price Optimisation Software Revenue (US$ Million), 2021–2026
7.12.5 BQool Recent Developments
7.13 Omnia
7.13.1 Omnia Profile
7.13.2 Omnia Main Business
7.13.3 Omnia Price Optimisation Software Products, Services, and Solutions
7.13.4 Omnia Price Optimisation Software Revenue (US$ Million), 2021–2026
7.13.5 Omnia Recent Developments
7.14 Prisync
7.14.1 Prisync Profile
7.14.2 Prisync Main Business
7.14.3 Prisync Price Optimisation Software Products, Services, and Solutions
7.14.4 Prisync Price Optimisation Software Revenue (US$ Million), 2021–2026
7.14.5 Prisync Recent Developments
7.15 Wiser
7.15.1 Wiser Profile
7.15.2 Wiser Main Business
7.15.3 Wiser Price Optimisation Software Products, Services, and Solutions
7.15.4 Wiser Price Optimisation Software Revenue (US$ Million), 2021–2026
7.15.5 Wiser Recent Developments
7.16 Quicklizard
7.16.1 Quicklizard Profile
7.16.2 Quicklizard Main Business
7.16.3 Quicklizard Price Optimisation Software Products, Services, and Solutions
7.16.4 Quicklizard Price Optimisation Software Revenue (US$ Million), 2021–2026
7.16.5 Quicklizard Recent Developments
7.17 Pricemoov
7.17.1 Pricemoov Profile
7.17.2 Pricemoov Main Business
7.17.3 Pricemoov Price Optimisation Software Products, Services, and Solutions
7.17.4 Pricemoov Price Optimisation Software Revenue (US$ Million), 2021–2026
7.17.5 Pricemoov Recent Developments
7.18 DemandTec (Acoustic)
7.18.1 DemandTec (Acoustic) Profile
7.18.2 DemandTec (Acoustic) Main Business
7.18.3 DemandTec (Acoustic) Price Optimisation Software Products, Services, and Solutions
7.18.4 DemandTec (Acoustic) Price Optimisation Software Revenue (US$ Million), 2021–2026
7.18.5 DemandTec (Acoustic) Recent Developments
7.19 GK Software
7.19.1 GK Software Profile
7.19.2 GK Software Main Business
7.19.3 GK Software Price Optimisation Software Products, Services, and Solutions
7.19.4 GK Software Price Optimisation Software Revenue (US$ Million), 2021–2026
7.19.5 GK Software Recent Developments
7.20 Aptos
7.20.1 Aptos Profile
7.20.2 Aptos Main Business
7.20.3 Aptos Price Optimisation Software Products, Services, and Solutions
7.20.4 Aptos Price Optimisation Software Revenue (US$ Million), 2021–2026
7.20.5 Aptos Recent Developments
7.21 Vistex
7.21.1 Vistex Profile
7.21.2 Vistex Main Business
7.21.3 Vistex Price Optimisation Software Products, Services, and Solutions
7.21.4 Vistex Price Optimisation Software Revenue (US$ Million), 2021–2026
7.21.5 Vistex Recent Developments
7.22 Syncron
7.22.1 Syncron Profile
7.22.2 Syncron Main Business
7.22.3 Syncron Price Optimisation Software Products, Services, and Solutions
7.22.4 Syncron Price Optimisation Software Revenue (US$ Million), 2021–2026
7.22.5 Syncron Recent Developments
7.23 Conga
7.23.1 Conga Profile
7.23.2 Conga Main Business
7.23.3 Conga Price Optimisation Software Products, Services, and Solutions
7.23.4 Conga Price Optimisation Software Revenue (US$ Million), 2021–2026
7.23.5 Conga Recent Developments
7.24 Symson
7.24.1 Symson Profile
7.24.2 Symson Main Business
7.24.3 Symson Price Optimisation Software Products, Services, and Solutions
7.24.4 Symson Price Optimisation Software Revenue (US$ Million), 2021–2026
7.24.5 Symson Recent Developments
8 Industry Chain Analysis
8.1 Price Optimisation Software Value Chain
8.2 Price Optimisation Software Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Key Suppliers of Raw Materials
8.2.3 Cost Structure
8.3 Midstream Analysis
8.4 Downstream (Customer) Analysis
8.5 Sales Model and Sales Channelss
8.5.1 Price Optimisation Software Sales Model
8.5.2 Sales Channels
8.5.3 Price Optimisation Software Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.1.1 Research Programs/Design
10.1.1.2 Market Size Estimation
10.1.1.3 Market Breakdown and Data Triangulation
10.1.2 Data Source
10.1.2.1 Secondary Sources
10.1.2.2 Primary Sources
10.2 Author Details
10.3 Disclaimer
TABLE OF FIGURES
List of Tables
List of Figures
KEY QUESTIONS ADDRESSED BY THE REPORT
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REPORT COVERAGE
DESCRIPTION
OVERVIEW
MARKET SEGMENTATION
CHAPTER OUTLINE
QYRESEARCH'S STRENGTHS
TABLE OF CONTENTS
TABLE OF FIGURES
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