Home > > > > Report Detail

Artificial Intelligence in Retail Market by Type (Online, Offline), Technology (Machine Learning and Deep Learning, NLP), Solution, Service (Professional, Managed), Deployment Mode (Cloud, On-Premises), Application, Region - Global Forecast to 2022

Publisher Name :
Date: 25-Oct-2017
No. of pages: 138
Inquire Before Buying

“Need to offer seamless user-experience to customer and forecast future outcomes to make better strategic decision is expected to propel the AI in retail market growth”

The global AI in retail market size is expected to grow from USD 993.6million in 2017 to USD 5,034.0million by 2022, ata Compound Annual Growth Rate (CAGR) of 38.3%.Increasing necessity for superior surveillance and monitoring at a physical store, growing awareness and application of AI in the retail industry, enhanced user-experience, improved productivity, Return on Investment (RoI), mainlining inventory accuracy, and supply chain optimization are some of the key factors fueling the growth of this market. Emergence of machine learning, deep learning, and Natural Language Processing (NLP) technology are expected to develop the AI-based solution for retail and thus, will create opportunities for the growth of this market. However, issues with diverse development framework, models, mechanism in AI; concern over privacy and identity of the individual; and lack of skilled staff are few major challenges in the AI in retail market.

“Predictive merchandising application is expected to hold the largest market size during the forecast period”

The predictive merchandising application has numerous added benefits resulting in one of the highest rated application in the retail industry. It is also known as personalized product recommendations or automated merchandising. This application is beneficial for both e Commerce and stores for optimizing purchase, provide allocation, and product assortment. Therefore, it is the most sought-after application of AI retail solution that will generate the highest revenue in the market as compared to other applications.

“North America is expected to have the largest market size during the forecast period”

Among regions, North America is the highest contributor in the adoption and implementation of AI in retail. The region, including the US and Canada, has shown increased investments in the market, and several vendors have evolved to cater to the rapidly growing market. In the present-day situation, diverse organizations in the retail and e Commerce in North America are extensively implementing AI solutions. Moreover, many retailers in the region are technically advanced and are evolving to increase revenue and sales at the same time to decrease operational expenses.IBM, Google, Microsoft, NVIDIA, Intel, and Amazon Web Services are some of the companies that provide AI in retail products and services in North America, contributing to the highest revenue generated by the region.

In the process of determining and verifying the market size for several segments and subsegments gathered through secondary research, extensive primary interviews were conducted with the key people. The break-up of the profiles of the primary participants is given below:


  • By Company: Tier 1:18%, Tier 2: 48%, and Tier 3:34%

  • By Designation: C-level: 22%, Director level:43%, and Others:35%

  • By Region: North America: 23%, Europe:48%, APAC:16%,andMEA: 13%


The key vendors profiled in the report are as follows:


  • IBM (US)

  • Microsoft (US)

  • Amazon Web Services (US)

  • Oracle (US)

  • SAP (Germany)

  • Intel (US)

  • NVIDIA (US)

  • Google (US)

  • Sentient technologies (US)

  • Sales force (US)

  • ViSenze (Singapore)


Research Coverage

The report is majorly segmented into types, technologies, solutions, services, deployment modes, applications, and region. Further, AI in retail market based on type includes online (e Commerce) and offline (brick-and-mortar store) retail. Technology segment is sub-segmented into machine learning and deep learning, NLP, and others which include analytics and process automation. Solution segment in the report comprises product recommendation and planning, customer relationship management, visual search, virtual assistant, price optimization, payment services management, supply chain management and demand planning, and others which include website and content optimization, space planning, fraud detection, and franchise management. Professional services and managed services are segmented under services segment. Further, deployment mode includes cloud and on-premise deployment, whereas application segment includes predictive merchandising, programmatic advertising, market forecasting, in-store visual monitoring and surveillance, location-based marketing, and others (real-time pricing and incentives, and real-time product targeting). The regions are segmented into North America, Europe, APAC, Latin America, and Middle East and Africa (MEA).

Reasons to buy the report

The report will help the market leaders/new entrants in this market in the following ways:


  • The report segments the market into various subsegments, hence it covers the market comprehensively. It provides the closest approximations of the revenue numbers for the overall market and the subsegments. The market numbers are further split across different regions.

  • The report helps stakeholders to understand the pulse of the market and provides them with information on the key market drivers, restraints, challenges, and opportunities.

  • This report will help stakeholders to better understand the competitors and gain more insights to enhance their position in the business. The competitive landscape section includes new product launches/developments; partnerships and collaborations; mergers and acquisitions; and expansions.

Artificial Intelligence in Retail Market by Type (Online, Offline), Technology (Machine Learning and Deep Learning, NLP), Solution, Service (Professional, Managed), Deployment Mode (Cloud, On-Premises), Application, Region - Global Forecast to 2022

Table of Contents

1 Introduction
1.1 Objectives of the Study
1.2 Market Definition
1.3 Market Scope
1.3.1 Years Considered for the Study
1.3.2 Currency
1.4 Stakeholders

2 Research Methodology
2.1 Research Data
2.1.1 Secondary Data
2.1.2 Primary Data
2.1.2.1 Key Industry Insights
2.2 Market Size Estimation
2.2.1 Bottom-Up Approach
2.2.2 Top-Down Approach
2.3 Research Assumptions
2.4 Limitations

3 Executive Summary

4 Premium Insights
4.1 Attractive Market Opportunities
4.2 Artificial Intelligence in Retail Market: Technologies
4.3 Lifecycle Analysis, By Region, 2017–2022

5 Market Overview and Industry Trends
5.1 Introduction
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Increasing Necessity for Superior Surveillance and Monitoring at Physically Present Retail Stores
5.2.1.2 Growing Awareness and Application of AI in the Retail Industry
5.2.1.3 to Enhance End-User Experience, Improve Productivity, and Generate More Revenue
5.2.1.4 to Maintain Inventory Accuracy and Supply Chain Optimization
5.2.2 Restraints
5.2.2.1 Incompatibility Concerns
5.2.3 Opportunities
5.2.3.1 Increase in AI-Based Data Analysis Application
5.2.3.2 Growing Number of Smartphones
5.2.3.3 Increase in Adoption of Cloud-Based Technology Solutions
5.2.4 Challenges
5.2.4.1 Issues With Diverse Development Framework, Models, and Mechanism in AI
5.2.4.2 Concerns Over Privacy and Identity of Individuals
5.2.4.3 Lack of Skilled Staff
5.3 Industry Trends
5.3.1 Introduction
5.3.2 Use Cases
5.3.2.1 Scenario 1
5.3.2.2 Scenario 2
5.3.2.3 Scenario 3
5.3.2.4 Scenario 4
5.3.2.5 Scenario 5
5.3.2.6 Scenario 6
5.3.2.7 Scenario 7
5.3.2.8 Scenario 8
5.3.2.9 Scenario 9
5.3.2.10 Scenario 10
5.3.2.11 Scenario 11
5.3.2.12 Scenario 12
5.4 Regulatory Implications
5.4.1 Introduction
5.4.2 Sarbanes-Oxley Act of 2002
5.4.3 General Data Protection Regulation
5.4.4 Basel

6 AI in Retail Market Analysis, By Type
6.1 Introduction
6.2 Online Retail
6.3 Offline Retail

7 Artificial Intelligence in Retail Market Analysis, By Technology
7.1 Introduction
7.2 Machine Learning and Deep Learning
7.2.1 Facial Recognition
7.2.2 Emotion Detection
7.3 Natural Language Processing
7.4 Others
7.4.1 Analytics
7.4.2 Process Automation

8 AI in Retail Market Analysis, By Solution
8.1 Introduction
8.2 Product Recommendation and Planning
8.3 Customer Relationship Management
8.4 Visual Search
8.5 Virtual Assistant
8.6 Price Optimization
8.7 Payment Services Management
8.8 Supply Chain Management and Demand Planning
8.9 Others

9 Artificial Intelligence in Retail Market Analysis, By Service
9.1 Introduction
9.2 Professional Services
9.3 Managed Services

10 AI in Retail Market Analysis, By Deployment Mode
10.1 Introduction
10.2 Cloud
10.3 On-Premises

11 Artificial Intelligence in Retail Market Analysis, By Application
11.1 Introduction
11.2 Predictive Merchandising
11.3 Programmatic Advertising
11.4 Market Forecasting
11.5 In-Store Visual Monitoring and Surveillance
11.6 Location-Based Marketing
11.7 Others
11.7.1 Real-Time Pricing and Incentives
11.7.2 Real-Time Product Targeting

12 Geographic Analysis
12.1 Introduction
12.2 North America
12.2.1 North America, By Type
12.2.2 North America, By Technology
12.2.3 North America, By Solution
12.2.4 North America, By Service
12.2.5 North America, By Deployment Mode
12.2.6 North America, By Application
12.3 Europe
12.3.1 Europe, By Type
12.3.2 Europe, By Technology
12.3.3 Europe, By Solution
12.3.4 Europe, By Service
12.3.5 Europe, By Deployment Mode
12.3.6 Europe, By Application
12.4 Asia Pacific
12.4.1 Asia Pacific, By Type
12.4.2 Asia Pacific, By Technology
12.4.3 Asia Pacific, By Solution
12.4.4 Asia Pacific, By Service
12.4.5 Asia Pacific, By Deployment Mode
12.4.6 Asia Pacific, By Application
12.5 Latin America
12.5.1 Latin America, By Type
12.5.2 Latin America, By Technology
12.5.3 Latin America, By Solution
12.5.4 Latin America, By Service
12.5.5 Latin America, By Deployment Mode
12.5.6 Latin America, By Application
12.6 Middle East and Africa
12.6.1 Middle East and Africa, By Type
12.6.2 Middle East and Africa, By Technology
12.6.3 Middle East and Africa, By Solution
12.6.4 Middle East and Africa, By Service
12.6.5 Middle East and Africa, By Deployment Mode
12.6.6 Middle East and Africa, By Application

13 Company Profiles
13.1 IBM
(Overview, Strength of Product Portfolio, Business Strategy Excellence, and Recent Developments)*
13.2 Microsoft
13.3 Nvidia
13.4 Amazon Web Services
13.5 Oracle
13.6 SAP
13.7 Intel
13.8 Google
13.9 Sentient Technologies
13.10 Salesforce
13.11 Visenze

*Details on Overview, Strength of Product Portfolio, Business Strategy Excellence, and Recent Developments Might Not Be Captured in Case of Unlisted Companies.

14 Appendix
14.1 Industry Experts
14.2 Discussion Guide
14.3 Knowledge Store: Marketsandmarkets’ Subscription Portal
14.4 Introducing RT: Real-Time Market Intelligence
14.5 Related Reports
14.6 Author Details

List of Tables

Table 1 Currency Exchange Rate
Table 2 Artificial Intelligence in Retail Market Size, By Type, 2015–2022 (USD Million)
Table 3 Online: AI in Retail Market Size, By Region, 2015–2022 (USD Million)
Table 4 Offline: Market Size, By Region, 2015–2022 (USD Million)
Table 5 Artificial Intelligence in Retail Market Size, By Technology, 2015–2022 (USD Million)
Table 6 Machine Learning and Deep Learning: AI in Retail Market Size, By Region, 2015–2022 (USD Million)
Table 7 Natural Language Processing: Market Size, By Region, 2015–2022 (USD Million)
Table 8 Others: Market Size, By Region, 2015–2022 (USD Million)
Table 9 Artificial Intelligence in Retail Market Size, By Solution, 2015–2022 (USD Million)
Table 10 Product Recommendation and Planning: Market Size, By Region, 2015–2022 (USD Million)
Table 11 Customer Relationship Management: Market Size, By Region, 2015–2022 (USD Million)
Table 12 Visual Search: Market Size, By Region, 2015–2022 (USD Million)
Table 13 Virtual Assistant: Market Size, By Region, 2015–2022 (USD Million)
Table 14 Price Optimization: Market Size, By Region, 2015–2022 (USD Million)
Table 15 Payment Services Management: Market Size, By Region, 2015–2022 (USD Million)
Table 16 Supply Chain Management and Demand Planning: Market Size, By Region, 2015–2022 (USD Million)
Table 17 Others: AI in Retail Market Size, By Region, 2015–2022 (USD Million)
Table 18 Artificial Intelligence in Retail Market Size, By Service, 2015–2022 (USD Million)
Table 19 Professional Services: Market Size, By Region, 2015–2022 (USD Million)
Table 20 Managed Services: Market Size, By Region, 2015–2022 (USD Million)
Table 21 Artificial Intelligence in Retail Market Size, By Deployment Mode, 2015–2022 (USD Million)
Table 22 Cloud: Market Size, By Region, 2015–2022 (USD Million)
Table 23 On-Premises: AI in Retail Market Size, By Region, 2015–2022 (USD Million)
Table 24 Artificial Intelligence in Retail Market Size, By Application, 2015–2022 (USD Million)
Table 25 Predictive Merchandising: Market Size, By Region, 2015–2022 (USD Million)
Table 26 Programmatic Advertising: Market Size, By Region, 2015–2022 (USD Million)
Table 27 Market Forecasting: Market Size, By Region, 2015–2022 (USD Million)
Table 28 In-Store Visual Monitoring and Surveillance: Market Size, By Region, 2015–2022 (USD Million)
Table 29 Location-Based Marketing: Market Size, By Region, 2015–2022 (USD Million)
Table 30 Others: AI in retail Market Size, By Region, 2015–2022 (USD Million)
Table 31 Artificial Intelligence in Retail Market Size, By Region, 2015–2022 (USD Million)
Table 32 North America: AI in Retail Market Size, By Type, 2015–2022 (USD Million)
Table 33 North America: Market Size, By Technology, 2015–2022 (USD Million)
Table 34 North America: Market Size, By Solution, 2015–2022 (USD Million)
Table 35 North America: Market Size, By Service, 2015–2022 (USD Million)
Table 36 North America: Market Size, By Deployment Mode, 2015–2022 (USD Million)
Table 37 North America: Artificial Intelligence in Retail Market Size, By Application, 2015–2022 (USD Million)
Table 38 Europe: AI in Retail Market Size, By Type, 2015–2022 (USD Million)
Table 39 Europe: Market Size, By Technology, 2015–2022 (USD Million)
Table 40 Europe: Market Size, By Solution, 2015–2022 (USD Million)
Table 41 Europe: Market Size, By Service, 2015–2022 (USD Million)
Table 42 Europe: Market Size, By Deployment Mode, 2015–2022 (USD Million)
Table 43 Europe: Artificial Intelligence in Retail Market Size, By Application, 2015–2022 (USD Million)
Table 44 Asia Pacific: AI in Retail Market Size, By Type, 2015–2022 (USD Million)
Table 45 Asia Pacific: Market Size, By Technology, 2015–2022 (USD Million)
Table 46 Asia Pacific: Market Size, By Solution, 2015–2022 (USD Million)
Table 47 Asia Pacific: Market Size, By Service, 2015–2022 (USD Million)
Table 48 Asia Pacific: Market Size, By Deployment Mode, 2015–2022 (USD Million)
Table 49 Asia Pacific: Artificial Intelligence in Retail Market Size, By Application, 2015–2022 (USD Million)
Table 50 Latin America: AI in Retail Market Size, By Type, 2015–2022 (USD Million)
Table 51 Latin America: Market Size, By Technology, 2015–2022 (USD Million)
Table 52 Latin America: Market Size, By Solution, 2015–2022 (USD Million)
Table 53 Latin America: etail Market Size, By Service, 2015–2022 (USD Million)
Table 54 Latin America: Market Size, By Deployment Mode, 2015–2022 (USD Million)
Table 55 Latin America: Artificial Intelligence in Retail Market Size, By Application, 2015–2022 (USD Million)
Table 56 Middle East and Africa: AI in Retail Market Size, By Type, 2015–2022 (USD Million)
Table 57 Middle East and Africa: Market Size, By Technology, 2015–2022 (USD Million)
Table 58 Middle East and Africa: Market Size, By Solution, 2015–2022 (USD Million)
Table 59 Middle East and Africa: Market Size, By Service, 2015–2022 (USD Million)
Table 60 Middle East and Africa: Market Size, By Deployment Mode, 2015–2022 (USD Million)
Table 61 Middle East and Africa: Artificial Intelligence in Retail Market Size, By Application, 2015–2022 (USD Million)

List of Figures

Figure 1 Markets Covered
Figure 2 Artificial Intelligence in Retail Market: Research Design
Figure 3 Breakdown of Primary Interviews: By Company, Designation, and Region
Figure 4 AI in Retail Market Size Estimation Methodology: Bottom-Up Approach
Figure 5 Market Size Estimation Methodology: Top-Down Approach
Figure 6 AI in Retail Market: Data Triangulation
Figure 7 Global Artificial Intelligence in Retail Market Snapshot (2017–2022)
Figure 8 Market Snapshot, By Solution and Service
Figure 9 AI in Retail Market Snapshot, By Region
Figure 10 Demand for Personalized Product Recommendation is One of the Major Factors Driving the Overall Growth of the AI in Retail Market During the Forecast Period
Figure 11 Natural Language Processing Technology is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 12 Asia Pacific is Expected to Exhibit the Highest Growth Potential During the Forecast Period
Figure 13 North America, and Product Recommendation and Planning are Expected to Have the Highest Market Shares During the Forecast Period
Figure 14 Artificial Intelligence in Retail Market: Drivers, Restraints, Opportunities, and Challenges
Figure 15 Offline Type is Expected to Grow With A Higher Growth Rate in the AI in Retail Market During the Forecast Period
Figure 16 Natural Language Processing Segment is Expected to Be the Fastest Growing Technology in the Artificial Intelligence in Retail Market
Figure 17 Visual Search Segment is Expected to Be the Fastest Growing Solution During the Forecast Period
Figure 18 Managed Services Segment is Expected to Be the Faster Growing Segment During the Forecast Period
Figure 19 On-Premises Deployment Mode is Expected to Have the Higher Growth Rate in the Artificial Intelligence in Retail Market During the Forecast Period
Figure 20 In-Store Visual Monitoring and Surveillance Segment is Expected to Be the Fastest Growing Application During the Forecast Period
Figure 21 Asia Pacific is Expected to Be the Most Attractive Market for Retailers During the Forecast Period
Figure 22 North America: Artificial Intelligence in Retail Market Snapshot
Figure 23 Asia Pacific: Market Snapshot
Figure 24 IBM: Company Snapshot
Figure 25 Microsoft: Company Snapshot
Figure 26 Nvidia: Company Snapshot
Figure 27 Amazon Web Services: Company Snapshot
Figure 28 Oracle: Company Snapshot
Figure 29 SAP: Company Snapshot
Figure 30 Intel: Company Snapshot
Figure 31 Google: Company Snapshot
Figure 32 Salesforce: Company Snapshot

  • Global Smart Parking System Market Research Report 2024
    Published: 08-Jan-2024        Price: US 2900 Onwards        Pages: 99
    Smart Parking refers to The comprehensive application of wireless communication technology, mobile terminal technology, GPS positioning technology, GIS technology, etc. to The collection, management, query, reservation and navigation services of urban parking spaces to realize real-time update, query, reservation and navigation of parking space resources. The integration of navigation services can maximize The utilization of parking space resources, maximize The profit of The parking lot and opt......
  • Global Smart Office Market Research Report 2024
    Published: 08-Jan-2024        Price: US 2900 Onwards        Pages: 91
    Smart office products help in promoting efficient use of available resources and also ensure sustainability through use of ecofriendly processes. This report analyzed The smart office by product: smart lighting, security systems, HVAC control and by building type: retrofit, new construction. Usually it contains three important parts that is Underlying hardware systems, Network protocol, Terminal. The global Smart Office market was valued at US$ 1215 million in 2023 and is anticipate......
  • Global Online Smartphone & Tablet Games Market Growth (Status and Outlook) 2024-2030
    Published: 04-Jan-2024        Price: US 3660 Onwards        Pages: 113
    According to our LPI (LP Information) latest study, the global Online Smartphone & Tablet Games market size was valued at US$ 120570 million in 2023. With growing demand in downstream market, the Online Smartphone & Tablet Games is forecast to a readjusted size of US$ 279460 million by 2030 with a CAGR of 12.8% during review period. The research report highlights the growth potential of the global Online Smartphone & Tablet Games market. Online Smartphone & Tablet Games are expected to s......
  • Global Smart Parking System Market Growth (Status and Outlook) 2024-2030
    Published: 04-Jan-2024        Price: US 3660 Onwards        Pages: 128
    According to our LPI (LP Information) latest study, the global Smart Parking System market size was valued at US$ 3655.3 million in 2023. With growing demand in downstream market, the Smart Parking System is forecast to a readjusted size of US$ 10060 million by 2030 with a CAGR of 15.6% during review period. The research report highlights the growth potential of the global Smart Parking System market. Smart Parking System are expected to show stable growth in the future market. However, ......
  • Global High Performance Computing Market Growth (Status and Outlook) 2024-2030
    Published: 04-Jan-2024        Price: US 3660 Onwards        Pages: 127
    According to our LPI (LP Information) latest study, the global High Performance Computing market size was valued at US$ 31270 million in 2023. With growing demand in downstream market, the High Performance Computing is forecast to a readjusted size of US$ 65340 million by 2030 with a CAGR of 11.1% during review period. The research report highlights the growth potential of the global High Performance Computing market. High Performance Computing are expected to show stable growth in the f......
  • Global Social Media Analytics Market Growth (Status and Outlook) 2024-2030
    Published: 04-Jan-2024        Price: US 3660 Onwards        Pages: 129
    According to our LPI (LP Information) latest study, the global Social Media Analytics market size was valued at US$ million in 2023. With growing demand in downstream market, the Social Media Analytics is forecast to a readjusted size of US$ million by 2030 with a CAGR of % during review period. The research report highlights the growth potential of the global Social Media Analytics market. Social Media Analytics are expected to show stable growth in the future market. However, product di......
  • Global Interactive Kiosk Market Growth 2024-2030
    Published: 04-Jan-2024        Price: US 3660 Onwards        Pages: 128
    According to our LPI (LP Information) latest study, the global Interactive Kiosk market size was valued at US$ 1001.7 million in 2023. With growing demand in downstream market, the Interactive Kiosk is forecast to a readjusted size of US$ 1487.4 million by 2030 with a CAGR of 5.8% during review period. The research report highlights the growth potential of the global Interactive Kiosk market. Interactive Kiosk are expected to show stable growth in the future market. However, product diff......
  • Global IoT Platforms Market Growth (Status and Outlook) 2024-2030
    Published: 04-Jan-2024        Price: US 3660 Onwards        Pages: 153
    According to our LPI (LP Information) latest study, the global IoT Platforms market size was valued at US$ 4474.8 million in 2023. With growing demand in downstream market, the IoT Platforms is forecast to a readjusted size of US$ 20970 million by 2030 with a CAGR of 24.7% during review period. The research report highlights the growth potential of the global IoT Platforms market. IoT Platforms are expected to show stable growth in the future market. However, product differentiation, red......
  • Global Drone Data Services Industry Research Report, In-depth Analysis of Current Status and Outlook of Key Countries 2023-2028
    Published: 04-Jan-2024        Price: US 3380 Onwards        Pages: 99
    Market Overview of Global Drone Data Services market: According to our latest research, the global Drone Data Services market looks promising in the next 5 years. As of 2022, the global Drone Data Services market was estimated at USD 1371.56 million, and it's anticipated to reach USD 20095.26 million in 2028, with a CAGR of 56.43% during the forecast years. This report covers a research time span from 2018 to 2028, and presents a deep and comprehensive analysis of the global ......
    • SERVICES
    Value for Money
    We believe in "optimum utilization of available budget and resources". While servicing our clients' (your) market research requirements, we keep the same approach in focus to help you get the best value for your $$s.
    Ever Growing Inventory
    Ranging from the smallest feasible / required data (datasheets, data facts, SWOT analysis, company profiles, etc) to full research reports that help you make decisions, our inventory is updated almost on a daily basis with the latest industry reports from domain experts that track more than 5000 niche sectors.
    One Stop Solution
    Need a custom research report on medical devices market? Require all available business intelligence on 3D printing industry? Exploring F&B sector of a particular country/region? RnRMarketResearch.com is your one-stop-solution to all market intelligence needs. We not only offer custom research and consulting services, we also "bundle" reports to meet your needs and help you fetch the data analysis you require for your business.
    Dedicated Client Engagement
    Not limited to only "finding" relevant reports for you, our client engagement team dedicates its efforts to understand your "business need" and accordingly maps available research data to help you move forward. Call "your" client engagement executive any time of your day and get your questions answered in order to make the correct business decision.
    Saving Time and Efforts
    Simply share your research requirement details with us and let us do all the hard work to find required intelligence for you. When you add up our "one stop solution" and "dedicated client engagement" services mentioned above, you obviously know the time and effort saving you do by working with us.
    Payment Flexibility
    Working with Fortune 500 organizations, we understand the importance of being flexible for payments. Share your payment terms with us and we will surely match up to them to ensure you get access to required business intelligence data without having to wait for the payment to be done.
    Post-Purchase Research Support
    Have questions after reading a report / datasheet bought through us? Not sure about the methodology used for data available in the research? Talk to us / Share your questions with us and if required, we will connect you with the analyst(s)/author(s) of the report(s) and ensure you get satisfactory answers for the same. Need more data / analysis / report(s) on the topic of your research/project? The RnRMarketResearch.com team is here for you 24X7 to support you with your post-purchase requirements. Subscription Offers & Packages (Get in touch with us for more details - [email protected] / +1 888 391 5441 )
    • Ad Hoc
    • Pay - as - you - go / Bucket Subscriptions
    • Fixed Cost for #of reports
    • Customize / Personalize as per your needs