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In-store analytics is predominantly the solution toward seeking meaningful insights through customers’ social data. Such insights enable retailers a good deal in developing systems to facilitate cutting edge progressions in their physical stores to make shopping experience meaningful and advantageous. Factors such as rising data volume around the in-store tasks have increased challenges from e-commerce companies to the brick and mortar retail shop owners.
Thus, the need for an improved shopping background as well as client administration is anticipated to fuel the growth of in-store analytics management and programming. Moreover, infiltration of the internet and cell phones, approach of cloud-based analytics, and high development prospects are estimated to make substantial scope for in-store analytics solution providers soon.
The global in-store analytics market size is anticipated to reach over USD 4.5 billion by 2025. This can be attributed to the increase in internet penetration in developing countries such as India, China, and others.
Additionally, the growing need to provide better consumer experience and increase in need to get insights on customer preferences & choices are also some of the essential factors boosting the adoption of in-store analytics solutions. However, initial setup cost and legacy in-store retail systems are hampering the market growth. Furthermore, the advent of cloud-based analytics is expected to provide growth opportunities for the in-store analytics market in the forthcoming years.
Key Segments of the Global In-store Analytics Market
By Solution, 2018-2025 (USD Million)
By Organization, 2018-2025 (USD Million)
By Deployment, 2018-2025 (USD Million)
Regional Overview, 2018-2025 (USD Million)
Reasons for the study
What does the report include?
Who should buy this report?
The retail industry has always been an essential factor in the world’s economy and with the increasing globalization, it is becoming one of the strong pillars for any economy. Technologies have the prospective to be implemented to a range of retailer business goals, such as supplier management, optimized revenue generation, customer value, and more. The advancements in technologies such as machine learning and big data analytics have significantly influenced the in-store analytics industry growth past few years. Integration of these technologies within the in-store analytics enable retailers to create and identify prize optimization, client profiles and produce customer loyalty programs based on the client information. Factors such as rising data volume around the in-store tasks have increased challenges from e-commerce companies to the brick and mortar retail shop owners. Thus, the need for an improved shopping background as well as client administration is anticipated to fuel the growth of in-store analytics.
Solution Segment
Based on the type segment, the market is bifurcated into customer management, marketing management, merchandising analysis, store operations management, risk and compliance management, and others. In 2019, the customer management segment has a significant contribution toward in-store analytics market revenue. The growth of this segment is mainly attributed to the increasing demand for customized in-store shopping experience among consumers.
Organization Size Segment
Based on the organization size, the market is segmented into large enterprises and SMEs. The market for large enterprises seized the highest revenue in 2019. However, SMEs sub-segment is anticipated to gather market growth during the forecast period.
Deployment Segment
Based on deployment, the market is bifurcated into on-premise and cloud-based. The on-premise segment captured the highest growth rate throughout the forecast period. This solution enables the user to fully control the platform, applications, systems, and data.
North America holds the largest market share in 2019 within the in-store analytics market owing to the rapid adoption of e-commerce services by many businesses throughout the region. Moreover, rising demand for price optimization, implementation of omnichannel business models, and an increasing volume of retail chains are anticipated to augment the growth of the in-store analytics market from 2019 to 2025.
The major players of the global in-store analytics market are RetailNext, SAP, Thinkinside, Mindtree, Happiest Minds, Celect, Capillary Technologies. Moreover, the other potential players in the in-store analytics market are Scanalytics, Dor Technologies, Retail Solutions, and Inpixon. The In-store analytics market is fragmented with the existence of well-known global and domestic players across the globe. Also, recognized companies are coming up with innovative and new in-store analytics technologies and solutions. For instance, In January 2019, a global in-store analytics solution provider, RetailNext announced the launch of its innovative in-store analytics software, partner ecosystem advancements, and hardware. These solutions are expected to assist in-store retailers in delivering an enhanced experience to shoppers.
In-store analytics is predominantly the solution toward seeking meaningful insights through customers’ social data. Such insights enable retailers a good deal in developing systems to facilitate cutting edge progressions in their physical stores to make shopping experience meaningful and advantageous. Factors such as rising data volume around the in-store tasks have increased challenges from e-commerce companies to the brick and mortar retail shop owners.
Thus, the need for an improved shopping background as well as client administration is anticipated to fuel the growth of in-store analytics management and programming. Moreover, infiltration of the internet and cell phones, approach of cloud-based analytics, and high development prospects are estimated to make substantial scope for in-store analytics solution providers soon.
The global in-store analytics market size is anticipated to reach over USD 4.5 billion by 2025. This can be attributed to the increase in internet penetration in developing countries such as India, China, and others.
Additionally, the growing need to provide better consumer experience and increase in need to get insights on customer preferences & choices are also some of the essential factors boosting the adoption of in-store analytics solutions. However, initial setup cost and legacy in-store retail systems are hampering the market growth. Furthermore, the advent of cloud-based analytics is expected to provide growth opportunities for the in-store analytics market in the forthcoming years.
Key Segments of the Global In-store Analytics Market
By Solution, 2018-2025 (USD Million)
By Organization, 2018-2025 (USD Million)
By Deployment, 2018-2025 (USD Million)
Regional Overview, 2018-2025 (USD Million)
Reasons for the study
What does the report include?
Who should buy this report?
Chapter 1 Introduction
1.1 Introduction to the Study
1.2 Market Definition and Scope
1.3 Units, Currency, Conversions and Years Considered
1.4 Key Stakeholders
1.5 Key Questions Answered
Chapter 2 Research Methodology
2.1 Introduction
2.2 Data Capture Sources
2.2.1 Primary Sources
2.2.2 Secondary Sources
2.3 Market Size Estimation
2.4 Market Forecast
2.5 Data Triangulation
2.6 Assumptions and Limitations
Chapter 3 Executive Summary
Chapter 4 Market Outlook
4.1 Introduction
4.2 Value Chain Analysis
4.3 Market Dynamics
4.3.1 Drivers
4.3.2 Restraints
4.3.3 Opportunities
4.3.3.1 Advent of cloud-based analytics
4.4 Porter’s Five Forces Analysis
4.5 PEST Analysis
Chapter 5 In-store analytics market by Solution
5.1 Introduction
5.1.1 Customer Management
5.1.2 Merchandising Analysis
5.1.3 Store Operations Management.
5.1.4 Risk and Compliance Management
5.1.5 Others
Chapter 6 In-store analytics market by Organization Size
6.1 Introduction
6.1.1 Large Enterprises
6.1.2 SMEs
Chapter 7 In-store analytics market by Deployment
7.1 Introduction
7.1.1 On-premise
7.1.2 Cloud-based
Chapter 8 In-store analytics market By Region
8.1 Introduction
8.2 North America
8.2.1 U.S.
8.2.2 Canada
8.3 Europe
8.3.1 Germany
8.3.2 France
8.3.3 UK
8.3.4 Rest of Europe
8.4 Asia Pacific
8.4.1 China
8.4.2 Japan
8.4.3 India
8.4.4 Rest of Asia Pacific
8.5 Middle East & Africa
8.5.1 UAE
8.5.2 South Africa
8.5.3 Rest of Middle East & Africa
8.6 South America
8.6.1 Brazil
8.6.2 Rest of South America
Chapter 9 Competitive Landscape
9.1 Overview
9.2 Strategic Initiatives
9.2.1 Mergers & Acquisitions
9.2.2 New Product Launch
9.2.3 Investments
9.2.4 Expansion
9.2.5 Others
Chapter 10 Company Profiles
10.1 RetailNext
10.1.1 Overview
10.1.2 Products and Services Portfolio
10.1.3 Recent Initiatives
10.1.4 Company Financials
10.1.5 SWOT
10.2 Mindtree
10.2.1 Overview
10.2.2 Products and Services Portfolio
10.2.3 Recent Initiatives
10.2.4 Company Financials
10.2.5 SWOT
10.3 Thinkinside
10.3.1 Overview
10.3.2 Products and Services Portfolio
10.3.3 Recent Initiatives
10.3.4 Company Financials
10.3.5 SWOT
10.4 Happiest Minds
10.4.1 Overview
10.4.2 Products and Services Portfolio
10.4.3 Recent Initiatives
10.4.4 Company Financials
10.4.5 SWOT
10.5 Celect
10.5.1 Overview
10.5.2 Products and Services Portfolio
10.5.3 Recent Initiatives
10.5.4 Company Financials
10.5.5 SWOT
10.6 SAP
10.6.1 Overview
10.6.2 Products and Services Portfolio
10.6.3 Recent Initiatives
10.6.4 Company Financials
10.6.5 SWOT
10.7 Capillary Technologies
10.7.1 Overview
10.7.2 Products and Services Portfolio
10.7.3 Recent Initiatives
10.7.4 Company Financials
10.7.5 SWOT
10.8 Inpixon
10.8.1 Overview
10.8.2 Products and Services Portfolio
10.8.3 Recent Initiatives
10.8.4 Company Financials
10.8.5 SWOT
10.9 Scanalytics
10.9.1 Overview
10.9.2 Products and Services Portfolio
10.9.3 Recent Initiatives
10.9.4 Company Financials
10.9.5 SWOT
10.10 Retail Solutions
10.10.1 Overview
10.10.2 Products and Services Portfolio
10.10.3 Recent Initiatives
10.10.4 Company Financials
10.10.5 SWOT
10.11 Other Companies