U.S. Retail Recon Software Market by Component (Software and Services), Software Type (Transaction Matching, Consolidation, Reporting & Analytics, Variance Analysis, Task Management, and Others) Deployment Model (On-Premise and Cloud), Retailer Size (Large Retailers and Small & Medium Retailers), and Reconciliation Type (Account Reconciliation, Bank Reconciliation, Payment Reconciliation and Others): U.S. Opportunity Analysis and Industry Forecast, 2020–2027
Reconciliation(recon) is a process of comparing internal financial records against monthly statements from external sources such as financial institutions, banks, and credit card companies. Reconciliation software enables retail companies to reconcile bank account transactions from their general ledger control account with ERP data that has hit their bank account. Furthermore, it helps retail companies to detect financial companies and enhances the overall control and visibility of the company. In addition, recon software also helps retail companies in reducing the human errors made in an accounting ledger and improves the stability in accounting process. Moreover, rise in adoption of cloud-based recon software in retail industry is expected to provide a lucrative opportunity for the market.
Increase in online transactions in the retail industry and rise in need for reconciliation management system drive the growth of the market. In addition, substantial saving for the U.S. retailers with high volume bank reconciliation needs fuels the growth of the market. However, various security issues in reconciliation software hampers the growth of the market. Furthermore, higher adoption of recon software among the SMRs and rise in usage of machine learning and artificial intelligence in recon software are the factors expected to provide lucrative opportunities for the growth of the market.
The U.S. retail recon software market is segmented into component, software type, deployment mode, retailer size, and reconciliation type. In terms of component, it is bifurcated into software and services. As per software type, it is divided into transaction matching, consolidation, reporting & analytics, variance analysis, task management and others. By deployment model, it is segmented into on-premise and cloud. In terms of retailer size, it is segmented into large retailers and small & medium retailers. As per reconciliation type, it is divided into account reconciliation, bank reconciliation, payment reconciliation, and others. By region, it is analyzed across the U.S.
The key players profiled in the U.S. retail recon software market analysis AutoRek, Baldwin Hackett & Meeks, Inc., Blackline, Inc., Broadridge Financial Solutions, Inc., Cashbook, Fiserv, Inc., Oracle Corporation, ReconArt, Inc., SAP SE, and SigmaIQ. These players have adopted various strategies to increase their market penetration and strengthen their position in the industry.
Key Benefits for Stakeholders
By Component
Increase in online transactions in the retail industry and rise in need for reconciliation management system drive the growth of the market. In addition, substantial saving for the U.S. retailers with high volume bank reconciliation needs fuels the growth of the market. However, various security issues in reconciliation software hampers the growth of the market. Furthermore, higher adoption of recon software among the SMRs and rise in usage of machine learning and artificial intelligence in recon software are the factors expected to provide lucrative opportunities for the growth of the market.
The U.S. retail recon software market is segmented into component, software type, deployment mode, retailer size, and reconciliation type. In terms of component, it is bifurcated into software and services. As per software type, it is divided into transaction matching, consolidation, reporting & analytics, variance analysis, task management and others. By deployment model, it is segmented into on-premise and cloud. In terms of retailer size, it is segmented into large retailers and small & medium retailers. As per reconciliation type, it is divided into account reconciliation, bank reconciliation, payment reconciliation, and others. By region, it is analyzed across the U.S.
The key players profiled in the U.S. retail recon software market analysis AutoRek, Baldwin Hackett & Meeks, Inc., Blackline, Inc., Broadridge Financial Solutions, Inc., Cashbook, Fiserv, Inc., Oracle Corporation, ReconArt, Inc., SAP SE, and SigmaIQ. These players have adopted various strategies to increase their market penetration and strengthen their position in the industry.
Key Benefits for Stakeholders
- The study provides an in-depth analysis of the U.S. retail recon software market forecast along with the current & future trends to elucidate the imminent investment pockets.
- Information about key drivers, restraints, and opportunities and their impact analysis on the U.S. retail recon software market size is provided in the report.
- Porter’s five forces analysis illustrates the potency of the buyers and suppliers operating in the industry.
- The quantitative analysis of the market for the period 2019–2027 is provided to determine the market potential.
By Component
- Software
- Service
- Transaction Matching
- Consolidation
- Reporting & Analytics
- Variance Analysis
- Task Management
- Others
- On-Premise
- Cloud
- Large Retailers
- Small & Medium Retailer (SMRs)
- Account Reconciliation
- Bank Reconciliation
- Payment Reconciliation
- Others
- AutoRek
- Baldwin Hackett & Meeks, Inc.
- Blackline, Inc.
- Broadridge Financial Solutions, Inc.
- Cashbook
- Fiserv, Inc.
- Oracle Corporation
- ReconArt, Inc.
- SAP SE
- SigmaIQ.
CHAPTER 1:INTRODUCTION
1.1.Report description
1.2.Key benefits for stakeholders
1.3.Key market segments
1.4.Research methodology
1.4.1.Secondary research
1.4.2.Primary research
1.4.3.Analyst tools & models
CHAPTER 2:EXECUTIVE SUMMARY
2.1.Key findings
2.1.1.Top impacting factors
2.2.CXO perspective
CHAPTER 3:MARKET OVERVIEW
3.1.Market definition and scope
3.2.Key forces shaping U.S. retail recon software market
3.3.Market dynamics
3.3.1.Case Studies
3.3.1.1.Case Study
3.3.1.2.Case Study
3.3.2.Drivers
3.3.2.1.Growth in online transaction
3.3.2.2.Rise in need for reconciliation management
3.3.2.3.Substantial savings for retailers with high volume bank reconciliation needs
3.3.3.Restraints
3.3.3.1.Different security issues faced by retailers
3.3.4.Opportunities
3.3.4.1.Growth in usage of machine learning and artificial intelligence in recon software
3.3.4.2.Higher adoption among small and medium retailer (SMRs)
3.3.5.Machine Learning and Artificial Intelligence in Reconciliation Software
CHAPTER 4:U.S. RETAIL RECON SOFTWARE MARKET, BY COMPONENT
4.1.Overview
4.2.Software
4.2.1.Key market trends, growth factors, and opportunities
4.2.2.Market size and forecast
4.3.Services
4.3.1.Key market trends, growth factors, and opportunities
4.3.2.Market size and forecast
CHAPTER 5:U.S. RETAIL RECON SOFTWARE MARKET, BY DEPLOYMENT MODE
5.1.Overview
5.2.On-premise
5.2.1.Key market trends, growth factors, and opportunities
5.2.2.Market size and forecast
5.3.Cloud-based
5.3.1.Key market trends, growth factors, and opportunities
5.3.2.Market size and forecast
CHAPTER 6:U.S. RETAIL RECON SOFTWARE MARKET, BY RETAILER SIZE
6.1.Overview
6.2.Large Retailers
6.2.1.Key market trends, growth factors, and opportunities
6.2.2.Market size and forecast
6.3.Small & Medium Retailer (SMRs)
6.3.1.Key market trends, growth factors, and opportunities
6.3.2.Market size and forecast
CHAPTER 7:U.S. RETAIL RECON SOFTWARE MARKET, BY RECONCILIATION TYPE
7.1.Overview
7.2.Account Reconciliation
7.2.1.Key market trends, growth factors, and opportunities
7.2.2.Market size and forecast
7.3.Bank Reconciliation
7.3.1.Key market trends, growth factors, and opportunities
7.3.2.Market size and forecast
7.4.Payment Reconciliation
7.4.1.Key market trends, growth factors, and opportunities
7.4.2.Market size and forecast
7.4.3.Payment reconciliation market size and forecast, by component
7.4.4.Payment reconciliation market size and forecast, by deployment mode
7.4.5.Payment reconciliation market size and forecast, by retailer size
7.5.Others
7.5.1.Key market trends, growth factors, and opportunities
7.5.2.Market size and forecast
CHAPTER 8:U.S. RETAIL RECON SOFTWARE MARKET, BY SOFTWARE TYPE
8.1.Overview
8.2.Transaction Matching
8.2.1.Key market trends, growth factors, and opportunities
8.2.2.Market size and forecast
8.3.Consolidation
8.3.1.Key market trends, growth factors, and opportunities
8.3.2.Market size and forecast
8.4.Reporting & Analytics
8.4.1.Key market trends, growth factors, and opportunities
8.4.2.Market size and forecast
8.5.Task Management
8.5.1.Key market trends, growth factors, and opportunities
8.5.2.Market size and forecast
8.6.Variance Analysis
8.6.1.Key market trends, growth factors, and opportunities
8.6.2.Market size and forecast
8.7.Others
8.7.1.Key market trends, growth factors, and opportunities
8.7.2.Market size and forecast
CHAPTER 9:COMPETITIVE LANDSCAPE
9.1.Top winning strategies
CHAPTER 10:COMPANY PROFILE
10.1.AUTOREK
10.1.1.Company overview
10.1.2.Key executives
10.1.3.Company snapshot
10.1.4.Product portfolio
10.1.5.Key strategic moves and developments
10.2.BALDWIN HACKETT & MEEKS, INC.
10.2.1.Company overview
10.2.2.Key executives
10.2.3.Company snapshot
10.2.4.Product portfolio
10.2.5.Key strategic moves and developments
10.3.BLACKLINE INC.
10.3.1.Company overview
10.3.2.Key executives
10.3.3.Company snapshot
10.3.4.Product portfolio
10.3.5.R&D expenditure
10.3.6.Business performance
10.3.7.Key strategic moves and developments
10.4.BROADRIDGE FINANCIAL SOLUTIONS, INC.
10.4.1.Company overview
10.4.2.Key Executives
10.4.3.Company snapshot
10.4.4.Operating business segments
10.4.5.Product portfolio
10.4.6.Business performance
10.4.7.Key strategic moves and developments
10.5.CASHBOOK
10.5.1.Company overview
10.5.2.Key executives
10.5.3.Company snapshot
10.5.4.Product portfolio
10.5.5.Key strategic moves and developments
10.6.FISERV, INC.
10.6.1.Company overview
10.6.2.Key executives
10.6.3.Company snapshot
10.6.4.Operating business segments
10.6.5.Product portfolio
10.6.6.Business performance
10.7.ORACLE CORPORATION
10.7.1.Company overview
10.7.2.Key Executives
10.7.3.Company snapshot
10.7.4.Operating business segments
10.7.5.Product portfolio
10.7.6.R&D Expenditure
10.7.7.Business performance
10.7.8.Key strategic moves and developments
10.8.SAP SE
10.8.1.Company overview
10.8.2.Key Executives
10.8.3.Company snapshot
10.8.4.Operating business segments
10.8.5.Product portfolio
10.8.6.R&D Expenditure
10.8.7.Business performance
10.8.8.Key strategic moves and developments
10.9.RECONART, INC.
10.9.1.Company overview
10.9.2.Key executives
10.9.3.Company snapshot
10.9.4.Product portfolio
10.9.5.Key strategic moves and developments
10.10.SIGMAIQ
10.10.1.Company overview
10.10.2.Key executives
10.10.3.Company snapshot
10.10.4.Product portfolio
1.1.Report description
1.2.Key benefits for stakeholders
1.3.Key market segments
1.4.Research methodology
1.4.1.Secondary research
1.4.2.Primary research
1.4.3.Analyst tools & models
CHAPTER 2:EXECUTIVE SUMMARY
2.1.Key findings
2.1.1.Top impacting factors
2.2.CXO perspective
CHAPTER 3:MARKET OVERVIEW
3.1.Market definition and scope
3.2.Key forces shaping U.S. retail recon software market
3.3.Market dynamics
3.3.1.Case Studies
3.3.1.1.Case Study
3.3.1.2.Case Study
3.3.2.Drivers
3.3.2.1.Growth in online transaction
3.3.2.2.Rise in need for reconciliation management
3.3.2.3.Substantial savings for retailers with high volume bank reconciliation needs
3.3.3.Restraints
3.3.3.1.Different security issues faced by retailers
3.3.4.Opportunities
3.3.4.1.Growth in usage of machine learning and artificial intelligence in recon software
3.3.4.2.Higher adoption among small and medium retailer (SMRs)
3.3.5.Machine Learning and Artificial Intelligence in Reconciliation Software
CHAPTER 4:U.S. RETAIL RECON SOFTWARE MARKET, BY COMPONENT
4.1.Overview
4.2.Software
4.2.1.Key market trends, growth factors, and opportunities
4.2.2.Market size and forecast
4.3.Services
4.3.1.Key market trends, growth factors, and opportunities
4.3.2.Market size and forecast
CHAPTER 5:U.S. RETAIL RECON SOFTWARE MARKET, BY DEPLOYMENT MODE
5.1.Overview
5.2.On-premise
5.2.1.Key market trends, growth factors, and opportunities
5.2.2.Market size and forecast
5.3.Cloud-based
5.3.1.Key market trends, growth factors, and opportunities
5.3.2.Market size and forecast
CHAPTER 6:U.S. RETAIL RECON SOFTWARE MARKET, BY RETAILER SIZE
6.1.Overview
6.2.Large Retailers
6.2.1.Key market trends, growth factors, and opportunities
6.2.2.Market size and forecast
6.3.Small & Medium Retailer (SMRs)
6.3.1.Key market trends, growth factors, and opportunities
6.3.2.Market size and forecast
CHAPTER 7:U.S. RETAIL RECON SOFTWARE MARKET, BY RECONCILIATION TYPE
7.1.Overview
7.2.Account Reconciliation
7.2.1.Key market trends, growth factors, and opportunities
7.2.2.Market size and forecast
7.3.Bank Reconciliation
7.3.1.Key market trends, growth factors, and opportunities
7.3.2.Market size and forecast
7.4.Payment Reconciliation
7.4.1.Key market trends, growth factors, and opportunities
7.4.2.Market size and forecast
7.4.3.Payment reconciliation market size and forecast, by component
7.4.4.Payment reconciliation market size and forecast, by deployment mode
7.4.5.Payment reconciliation market size and forecast, by retailer size
7.5.Others
7.5.1.Key market trends, growth factors, and opportunities
7.5.2.Market size and forecast
CHAPTER 8:U.S. RETAIL RECON SOFTWARE MARKET, BY SOFTWARE TYPE
8.1.Overview
8.2.Transaction Matching
8.2.1.Key market trends, growth factors, and opportunities
8.2.2.Market size and forecast
8.3.Consolidation
8.3.1.Key market trends, growth factors, and opportunities
8.3.2.Market size and forecast
8.4.Reporting & Analytics
8.4.1.Key market trends, growth factors, and opportunities
8.4.2.Market size and forecast
8.5.Task Management
8.5.1.Key market trends, growth factors, and opportunities
8.5.2.Market size and forecast
8.6.Variance Analysis
8.6.1.Key market trends, growth factors, and opportunities
8.6.2.Market size and forecast
8.7.Others
8.7.1.Key market trends, growth factors, and opportunities
8.7.2.Market size and forecast
CHAPTER 9:COMPETITIVE LANDSCAPE
9.1.Top winning strategies
CHAPTER 10:COMPANY PROFILE
10.1.AUTOREK
10.1.1.Company overview
10.1.2.Key executives
10.1.3.Company snapshot
10.1.4.Product portfolio
10.1.5.Key strategic moves and developments
10.2.BALDWIN HACKETT & MEEKS, INC.
10.2.1.Company overview
10.2.2.Key executives
10.2.3.Company snapshot
10.2.4.Product portfolio
10.2.5.Key strategic moves and developments
10.3.BLACKLINE INC.
10.3.1.Company overview
10.3.2.Key executives
10.3.3.Company snapshot
10.3.4.Product portfolio
10.3.5.R&D expenditure
10.3.6.Business performance
10.3.7.Key strategic moves and developments
10.4.BROADRIDGE FINANCIAL SOLUTIONS, INC.
10.4.1.Company overview
10.4.2.Key Executives
10.4.3.Company snapshot
10.4.4.Operating business segments
10.4.5.Product portfolio
10.4.6.Business performance
10.4.7.Key strategic moves and developments
10.5.CASHBOOK
10.5.1.Company overview
10.5.2.Key executives
10.5.3.Company snapshot
10.5.4.Product portfolio
10.5.5.Key strategic moves and developments
10.6.FISERV, INC.
10.6.1.Company overview
10.6.2.Key executives
10.6.3.Company snapshot
10.6.4.Operating business segments
10.6.5.Product portfolio
10.6.6.Business performance
10.7.ORACLE CORPORATION
10.7.1.Company overview
10.7.2.Key Executives
10.7.3.Company snapshot
10.7.4.Operating business segments
10.7.5.Product portfolio
10.7.6.R&D Expenditure
10.7.7.Business performance
10.7.8.Key strategic moves and developments
10.8.SAP SE
10.8.1.Company overview
10.8.2.Key Executives
10.8.3.Company snapshot
10.8.4.Operating business segments
10.8.5.Product portfolio
10.8.6.R&D Expenditure
10.8.7.Business performance
10.8.8.Key strategic moves and developments
10.9.RECONART, INC.
10.9.1.Company overview
10.9.2.Key executives
10.9.3.Company snapshot
10.9.4.Product portfolio
10.9.5.Key strategic moves and developments
10.10.SIGMAIQ
10.10.1.Company overview
10.10.2.Key executives
10.10.3.Company snapshot
10.10.4.Product portfolio
LIST OF TABLES
TABLE 01.U.S. RETAIL RECON SOFTWARE MARKET REVENUE, BY COMPONENT, 2019–2027 ($MILLION)
TABLE 02.U.S. RETAIL RECON SOFTWARE MARKET REVENUE FOR SOFTWARE, 2019–2027 ($MILLION)
TABLE 03.U.S. RETAIL RECON SOFTWARE MARKET REVENUE FOR SERVICE, 2019–2027 ($MILLION)
TABLE 04.U.S. RETAIL RECON SOFTWARE MARKET SOFTWARE REVENUE, BY DEPLOYMENT MODE, 2019–2027 ($MILLION)
TABLE 05.U.S. RETAIL RECON SOFTWARE MARKET REVENUE FOR ON-PREMISE, 2019–2027 ($MILLION)
TABLE 06.U.S. RETAIL RECON SOFTWARE MARKET REVENUE FOR CLOUD, 2019–2027 ($MILLION)
TABLE 07.U.S. RETAIL RECON SOFTWARE MARKET REVENUE, BY RETAILER SIZE, 2019–2027 ($MILLION)
TABLE 08.U.S. RETAIL RECON SOFTWARE MARKET REVENUE FOR LARGE RETAILERS, 2019–2027 ($MILLION)
TABLE 09.U.S. RETAIL RECON SOFTWARE MARKET REVENUE FOR SMRS, 2019–2027 ($MILLION)
TABLE 10.U.S. RETAIL RECON SOFTWARE MARKET REVENUE, RECONCILIATION TYPE, 2019–2027 ($MILLION)
TABLE 11.U.S. RETAIL RECON SOFTWARE MARKET REVENUE FOR ACCOUNT RECONCILIATION, 2019–2027 ($MILLION)
TABLE 12.U.S. RETAIL RECON SOFTWARE MARKET REVENUE FOR BANK RECONCILIATION, 2019–2027 ($MILLION)
TABLE 13.U.S. RETAIL RECON SOFTWARE MARKET REVENUE FOR PAYMENT RECONCILIATION, 2019–2027 ($MILLION)
TABLE 14.U.S. RETAIL RECON SOFTWARE MARKET REVENUE FOR PAYMENT RECONCILIATION, BY COMPONENT, 2019–2027 ($MILLION)
TABLE 15.U.S. RETAIL RECON SOFTWARE MARKET REVENUE FOR PAYMENT RECONCILIATION, BY DEPLOYMENT MODE, 2019–2027 ($MILLION)
TABLE 16.U.S. RETAIL RECON SOFTWARE MARKET REVENUE FOR PAYMENT RECONCILIATION, BY RETAILER SIZE, 2019–2027 ($MILLION)
TABLE 17.U.S. RETAIL RECON SOFTWARE MARKET REVENUE FOR OTHERS, 2019–2027 ($MILLION)
TABLE 18.U.S. RETAIL RECON SOFTWARE MARKET REVENUE, BY SOFTWARE TYPE, 2019–2027 ($MILLION)
TABLE 19.U.S. RETAIL RECON SOFTWARE MARKET REVENUE FOR TRANSACTION MATCHING, 2019–2027 ($MILLION)
TABLE 20.U.S. RETAIL RECON SOFTWARE MARKET REVENUE FOR CONSOLIDATION, 2019–2027 ($MILLION)
TABLE 21.U.S. RETAIL RECON SOFTWARE MARKET REVENUE FOR REPORTING & ANALYTICS, 2019–2027 ($MILLION)
TABLE 22.U.S. RETAIL RECON SOFTWARE MARKET REVENUE FOR TASK MANAGEMENT, 2019–2027 ($MILLION)
TABLE 23.U.S. RETAIL RECON SOFTWARE MARKET REVENUE FOR VARIANCE ANALYSIS, 2019–2027 ($MILLION)
TABLE 24.U.S. RETAIL RECON SOFTWARE MARKET REVENUE FOR OTHERS, 2019–2027 ($MILLION)
TABLE 25.AUTOREK: KEY EXECUTIVES
TABLE 26.AUTOREK: COMPANY SNAPSHOT
TABLE 27.AUTOREK: PRODUCT PORTFOLIO
TABLE 28.BALDWIN HACKETT & MEEKS, INC.: KEY EXECUTIVES
TABLE 29.BALDWIN HACKETT & MEEKS, INC.: COMPANY SNAPSHOT
TABLE 30.BALDWIN HACKETT & MEEKS, INC.: PRODUCT PORTFOLIO
TABLE 31.BLACKLINE INC.: KEY EXECUTIVES
TABLE 32.BLACKLINE INC.: COMPANY SNAPSHOT
TABLE 33.BLACKLINE INC.: PRODUCT PORTFOLIO
TABLE 34.BROADRIDGE FINANCIAL SOLUTIONS, INC.: KEY EXECUTIVES
TABLE 35.BROADRIDGE FINANCIAL SOLUTIONS, INC.: COMPANY SNAPSHOT
TABLE 36.BROADRIDGE FINANCIAL SOLUTIONS, INC.: OPERATING SEGMENTS
TABLE 37.BROADRIDGE FINANCIAL SOLUTIONS, INC.: PRODUCT PORTFOLIO
TABLE 38.CASHBOOK: KEY EXECUTIVES
TABLE 39.CASHBOOK: COMPANY SNAPSHOT
TABLE 40.CASHBOOK: PRODUCT PORTFOLIO
TABLE 41.FISERV, INC.: KEY EXECUTIVES
TABLE 42.FISERV, INC.: COMPANY SNAPSHOT
TABLE 43.FISERV, INC.: OPERATING SEGMENTS
TABLE 44.FISERV, INC.: PRODUCT PORTFOLIO
TABLE 45.ORACLE CORPORATION: KEY EXECUTIVES
TABLE 46.ORACLE CORPORATION: COMPANY SNAPSHOT
TABLE 47.ORACLE CORPORATION: OPERATING SEGMENTS
TABLE 48.ORACLE CORPORATION: PRODUCT PORTFOLIO
TABLE 49.SAP SE: KEY EXECUTIVES
TABLE 50.SAP SE: COMPANY SNAPSHOT
TABLE 51.SAP SE: OPERATING SEGMENTS
TABLE 52.SAP SE: PRODUCT PORTFOLIO
TABLE 53.RECONART, INC.: KEY EXECUTIVES
TABLE 54.RECONART, INC.: COMPANY SNAPSHOT
TABLE 55.RECONART, INC.: PRODUCT PORTFOLIO
TABLE 56.RECONART, INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 57.SIGMAIQ: KEY EXECUTIVES
TABLE 58.SIGMAIQ: COMPANY SNAPSHOT
TABLE 59.SIGMAIQ: PRODUCT PORTFOLIO
TABLE 01.U.S. RETAIL RECON SOFTWARE MARKET REVENUE, BY COMPONENT, 2019–2027 ($MILLION)
TABLE 02.U.S. RETAIL RECON SOFTWARE MARKET REVENUE FOR SOFTWARE, 2019–2027 ($MILLION)
TABLE 03.U.S. RETAIL RECON SOFTWARE MARKET REVENUE FOR SERVICE, 2019–2027 ($MILLION)
TABLE 04.U.S. RETAIL RECON SOFTWARE MARKET SOFTWARE REVENUE, BY DEPLOYMENT MODE, 2019–2027 ($MILLION)
TABLE 05.U.S. RETAIL RECON SOFTWARE MARKET REVENUE FOR ON-PREMISE, 2019–2027 ($MILLION)
TABLE 06.U.S. RETAIL RECON SOFTWARE MARKET REVENUE FOR CLOUD, 2019–2027 ($MILLION)
TABLE 07.U.S. RETAIL RECON SOFTWARE MARKET REVENUE, BY RETAILER SIZE, 2019–2027 ($MILLION)
TABLE 08.U.S. RETAIL RECON SOFTWARE MARKET REVENUE FOR LARGE RETAILERS, 2019–2027 ($MILLION)
TABLE 09.U.S. RETAIL RECON SOFTWARE MARKET REVENUE FOR SMRS, 2019–2027 ($MILLION)
TABLE 10.U.S. RETAIL RECON SOFTWARE MARKET REVENUE, RECONCILIATION TYPE, 2019–2027 ($MILLION)
TABLE 11.U.S. RETAIL RECON SOFTWARE MARKET REVENUE FOR ACCOUNT RECONCILIATION, 2019–2027 ($MILLION)
TABLE 12.U.S. RETAIL RECON SOFTWARE MARKET REVENUE FOR BANK RECONCILIATION, 2019–2027 ($MILLION)
TABLE 13.U.S. RETAIL RECON SOFTWARE MARKET REVENUE FOR PAYMENT RECONCILIATION, 2019–2027 ($MILLION)
TABLE 14.U.S. RETAIL RECON SOFTWARE MARKET REVENUE FOR PAYMENT RECONCILIATION, BY COMPONENT, 2019–2027 ($MILLION)
TABLE 15.U.S. RETAIL RECON SOFTWARE MARKET REVENUE FOR PAYMENT RECONCILIATION, BY DEPLOYMENT MODE, 2019–2027 ($MILLION)
TABLE 16.U.S. RETAIL RECON SOFTWARE MARKET REVENUE FOR PAYMENT RECONCILIATION, BY RETAILER SIZE, 2019–2027 ($MILLION)
TABLE 17.U.S. RETAIL RECON SOFTWARE MARKET REVENUE FOR OTHERS, 2019–2027 ($MILLION)
TABLE 18.U.S. RETAIL RECON SOFTWARE MARKET REVENUE, BY SOFTWARE TYPE, 2019–2027 ($MILLION)
TABLE 19.U.S. RETAIL RECON SOFTWARE MARKET REVENUE FOR TRANSACTION MATCHING, 2019–2027 ($MILLION)
TABLE 20.U.S. RETAIL RECON SOFTWARE MARKET REVENUE FOR CONSOLIDATION, 2019–2027 ($MILLION)
TABLE 21.U.S. RETAIL RECON SOFTWARE MARKET REVENUE FOR REPORTING & ANALYTICS, 2019–2027 ($MILLION)
TABLE 22.U.S. RETAIL RECON SOFTWARE MARKET REVENUE FOR TASK MANAGEMENT, 2019–2027 ($MILLION)
TABLE 23.U.S. RETAIL RECON SOFTWARE MARKET REVENUE FOR VARIANCE ANALYSIS, 2019–2027 ($MILLION)
TABLE 24.U.S. RETAIL RECON SOFTWARE MARKET REVENUE FOR OTHERS, 2019–2027 ($MILLION)
TABLE 25.AUTOREK: KEY EXECUTIVES
TABLE 26.AUTOREK: COMPANY SNAPSHOT
TABLE 27.AUTOREK: PRODUCT PORTFOLIO
TABLE 28.BALDWIN HACKETT & MEEKS, INC.: KEY EXECUTIVES
TABLE 29.BALDWIN HACKETT & MEEKS, INC.: COMPANY SNAPSHOT
TABLE 30.BALDWIN HACKETT & MEEKS, INC.: PRODUCT PORTFOLIO
TABLE 31.BLACKLINE INC.: KEY EXECUTIVES
TABLE 32.BLACKLINE INC.: COMPANY SNAPSHOT
TABLE 33.BLACKLINE INC.: PRODUCT PORTFOLIO
TABLE 34.BROADRIDGE FINANCIAL SOLUTIONS, INC.: KEY EXECUTIVES
TABLE 35.BROADRIDGE FINANCIAL SOLUTIONS, INC.: COMPANY SNAPSHOT
TABLE 36.BROADRIDGE FINANCIAL SOLUTIONS, INC.: OPERATING SEGMENTS
TABLE 37.BROADRIDGE FINANCIAL SOLUTIONS, INC.: PRODUCT PORTFOLIO
TABLE 38.CASHBOOK: KEY EXECUTIVES
TABLE 39.CASHBOOK: COMPANY SNAPSHOT
TABLE 40.CASHBOOK: PRODUCT PORTFOLIO
TABLE 41.FISERV, INC.: KEY EXECUTIVES
TABLE 42.FISERV, INC.: COMPANY SNAPSHOT
TABLE 43.FISERV, INC.: OPERATING SEGMENTS
TABLE 44.FISERV, INC.: PRODUCT PORTFOLIO
TABLE 45.ORACLE CORPORATION: KEY EXECUTIVES
TABLE 46.ORACLE CORPORATION: COMPANY SNAPSHOT
TABLE 47.ORACLE CORPORATION: OPERATING SEGMENTS
TABLE 48.ORACLE CORPORATION: PRODUCT PORTFOLIO
TABLE 49.SAP SE: KEY EXECUTIVES
TABLE 50.SAP SE: COMPANY SNAPSHOT
TABLE 51.SAP SE: OPERATING SEGMENTS
TABLE 52.SAP SE: PRODUCT PORTFOLIO
TABLE 53.RECONART, INC.: KEY EXECUTIVES
TABLE 54.RECONART, INC.: COMPANY SNAPSHOT
TABLE 55.RECONART, INC.: PRODUCT PORTFOLIO
TABLE 56.RECONART, INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 57.SIGMAIQ: KEY EXECUTIVES
TABLE 58.SIGMAIQ: COMPANY SNAPSHOT
TABLE 59.SIGMAIQ: PRODUCT PORTFOLIO
LIST OF FIGURES
FIGURE 01.KEY MARKET SEGMENTS
FIGURE 02.U.S. RETAIL RECON SOFTWARE MARKET, 2019-2027
FIGURE 03.U.S. RETAIL RECON SOFTWARE MARKET: TOP IMPACTING FACTOR
FIGURE 04.LOW-TO-MODERATE BARGAINING POWER OF SUPPLIERS
FIGURE 05.LOW-TO-MODERATE BARGAINING POWER OF BUYERS
FIGURE 06.LOW-TO-MODERATE THREAT OF SUBSTITUTES
FIGURE 07.MODERATE-TO-HIGH THREAT OF NEW ENTRANTS
FIGURE 08.LOW-TO-MODERATE COMPETITIVE RIVALRYS
FIGURE 09.U.S. RETAIL RECON SOFTWARE MARKET, BY COMPONENT, 2019–2027
FIGURE 10.U.S. RETAIL RECON SOFTWARE MARKET REVENUE, BY DEPLOYMENT MODE, 2019–2027 ($MILLION)
FIGURE 11.U.S. RETAIL RECON SOFTWARE MARKET REVENUE, BY RETAILER SIZE, 2019–2027 ($MILLION)
FIGURE 12.U.S. RETAIL RECON SOFTWARE MARKET, BY RECONCILIATION TYPE, 2019–2027
FIGURE 13.U.S. RETAIL RECON SOFTWARE MARKET, BY SOFTWARE TYPE, 2019–2027 ($MILLION)
FIGURE 14.TOP WINNING STRATEGIES, BY YEAR, 2018–2020
FIGURE 15.TOP WINNING STRATEGIES, BY DEVELOPMENT, 2017–2019
FIGURE 16.TOP WINNING STRATEGIES, BY COMPANY, 2017–2019
FIGURE 17.R&D EXPENDITURE, 2017–2019 ($MILLION)
FIGURE 18.BLACKLINE INC.: REVENUE, 2017–2019 ($MILLION)
FIGURE 19.BLACKLINE INC.: REVENUE SHARE BY REGION, 2019 (%)
FIGURE 20.BROADRIDGE FINANCIAL SOLUTIONS, INC.: REVENUE, 2017–2019 ($MILLION)
FIGURE 21.BROADRIDGE FINANCIAL SOLUTIONS, INC.: REVENUE SHARE BY SEGMENT, 2019 (%)
FIGURE 22.BROADRIDGE FINANCIAL SOLUTIONS, INC.: REVENUE SHARE BY REGION, 2019 (%)
FIGURE 23.FISERV, INC.: REVENUE, 2017–2019 ($MILLION)
FIGURE 24.FISERV, INC.: REVENUE SHARE BY SEGMENT, 2019 (%)
FIGURE 25.FISERV, INC.: REVENUE SHARE BY REGION, 2019 (%)
FIGURE 26.R&D EXPENDITURE, 2017–2019 ($MILLION)
FIGURE 27.ORACLE CORPORATION: REVENUE, 2017–2019 ($MILLION)
FIGURE 28.ORACLE CORPORATION: REVENUE SHARE, BY SEGMENT, 2019 (%)
FIGURE 29.ORACLE CORPORATION: REVENUE SHARE BY REGION, 2019 (%)
FIGURE 30.R&D EXPENDITURE, 2017–2019 ($MILLION)
FIGURE 31.SAP SE: REVENUE, 2017–2019 ($MILLION)
FIGURE 32.SAP SE: REVENUE SHARE, BY SEGMENT, 2019 (%)
FIGURE 33.SAP SE: REVENUE SHARE BY REGION, 2019 (%)
FIGURE 01.KEY MARKET SEGMENTS
FIGURE 02.U.S. RETAIL RECON SOFTWARE MARKET, 2019-2027
FIGURE 03.U.S. RETAIL RECON SOFTWARE MARKET: TOP IMPACTING FACTOR
FIGURE 04.LOW-TO-MODERATE BARGAINING POWER OF SUPPLIERS
FIGURE 05.LOW-TO-MODERATE BARGAINING POWER OF BUYERS
FIGURE 06.LOW-TO-MODERATE THREAT OF SUBSTITUTES
FIGURE 07.MODERATE-TO-HIGH THREAT OF NEW ENTRANTS
FIGURE 08.LOW-TO-MODERATE COMPETITIVE RIVALRYS
FIGURE 09.U.S. RETAIL RECON SOFTWARE MARKET, BY COMPONENT, 2019–2027
FIGURE 10.U.S. RETAIL RECON SOFTWARE MARKET REVENUE, BY DEPLOYMENT MODE, 2019–2027 ($MILLION)
FIGURE 11.U.S. RETAIL RECON SOFTWARE MARKET REVENUE, BY RETAILER SIZE, 2019–2027 ($MILLION)
FIGURE 12.U.S. RETAIL RECON SOFTWARE MARKET, BY RECONCILIATION TYPE, 2019–2027
FIGURE 13.U.S. RETAIL RECON SOFTWARE MARKET, BY SOFTWARE TYPE, 2019–2027 ($MILLION)
FIGURE 14.TOP WINNING STRATEGIES, BY YEAR, 2018–2020
FIGURE 15.TOP WINNING STRATEGIES, BY DEVELOPMENT, 2017–2019
FIGURE 16.TOP WINNING STRATEGIES, BY COMPANY, 2017–2019
FIGURE 17.R&D EXPENDITURE, 2017–2019 ($MILLION)
FIGURE 18.BLACKLINE INC.: REVENUE, 2017–2019 ($MILLION)
FIGURE 19.BLACKLINE INC.: REVENUE SHARE BY REGION, 2019 (%)
FIGURE 20.BROADRIDGE FINANCIAL SOLUTIONS, INC.: REVENUE, 2017–2019 ($MILLION)
FIGURE 21.BROADRIDGE FINANCIAL SOLUTIONS, INC.: REVENUE SHARE BY SEGMENT, 2019 (%)
FIGURE 22.BROADRIDGE FINANCIAL SOLUTIONS, INC.: REVENUE SHARE BY REGION, 2019 (%)
FIGURE 23.FISERV, INC.: REVENUE, 2017–2019 ($MILLION)
FIGURE 24.FISERV, INC.: REVENUE SHARE BY SEGMENT, 2019 (%)
FIGURE 25.FISERV, INC.: REVENUE SHARE BY REGION, 2019 (%)
FIGURE 26.R&D EXPENDITURE, 2017–2019 ($MILLION)
FIGURE 27.ORACLE CORPORATION: REVENUE, 2017–2019 ($MILLION)
FIGURE 28.ORACLE CORPORATION: REVENUE SHARE, BY SEGMENT, 2019 (%)
FIGURE 29.ORACLE CORPORATION: REVENUE SHARE BY REGION, 2019 (%)
FIGURE 30.R&D EXPENDITURE, 2017–2019 ($MILLION)
FIGURE 31.SAP SE: REVENUE, 2017–2019 ($MILLION)
FIGURE 32.SAP SE: REVENUE SHARE, BY SEGMENT, 2019 (%)
FIGURE 33.SAP SE: REVENUE SHARE BY REGION, 2019 (%)
