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市場調查報告書

店內分析的全球市場分析、預測 (∼2023年):行銷管理、客戶管理、商品營銷分析、商店營運管理與風險&遵守管理

In-store Analytics Market by Application (Marketing Management, Customer Management, Merchandising Analysis, Store Operations Management, and Risk and Compliance Management), Component, Deployment, Organization Size, and Region - Global Forecast to 2023

出版商 MarketsandMarkets 商品編碼 820526
出版日期 內容資訊 英文 125 Pages
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店內分析的全球市場分析、預測 (∼2023年):行銷管理、客戶管理、商品營銷分析、商店營運管理與風險&遵守管理 In-store Analytics Market by Application (Marketing Management, Customer Management, Merchandising Analysis, Store Operations Management, and Risk and Compliance Management), Component, Deployment, Organization Size, and Region - Global Forecast to 2023
出版日期: 2019年04月03日內容資訊: 英文 125 Pages
簡介

全球店內分析的市場在預測期間內預計將以23.5%的年複合成長率 (CAGR) 發展,從2018年的11億萬美元,成長到2023年32億美元的規模。持有實體商店的零售業者和電子商務經營者的競爭激烈,更佳顧客服務及消費體驗的需求擴大,商店營運的資料量的增加等要素促進該市場的成長。可是同時,由於傳統零售業者對新技術採用的非積極性成為市場進一步成長的障礙。

本報告提供全球店內分析的市場調查,市場定義和概要,市場成長的各種影響因素分析,利用案例,AI、ML的對市場的影響,零組件、用途、引進方式、企業規模、地區/主要國家等各種區分的趨勢與市場規模的變化與預測,競爭環境,主要企業簡介等資訊彙整。

第1章 簡介

第2章 調查手法

第3章 摘要整理

第4章 主要考察

第5章 市場概要

  • 簡介
  • 市場動態
    • 成長促進因素
    • 阻礙成長要素
    • 市場機會
    • 課題
  • 產業趨勢
    • 利用案例
    • AI、ML的對市場的影響
    • 店內分析的流程

第6章 市場分析、預測:各零件

  • 簡介
  • 軟體
  • 服務
    • 專業服務
      • 支援、維護
      • 諮詢
    • 管理服務

第7章 市場分析、預測:各用途

  • 簡介
  • 客戶管理
    • 客戶客流量分析
    • 客戶行為分析
    • 顧客服務
  • 行銷管理
    • 宣傳活動管理
    • 忠誠度管理
    • 交叉銷售&提升銷售、POS
    • 市場購物籃分析
  • 商品營銷分析
    • 出售處規劃&最佳化
    • 產品類型分析
    • 罷工設計分析
  • 商店營運管理
    • 人員的最佳化
    • 暢銷貨類別、產品的特定
    • 庫存管理
  • 風險&遵守管理
    • 詐欺檢測
  • 其他

第8章 市場分析、預測:各引進模式

  • 簡介
  • 雲端
  • 內部部署

第9章 市場分析、預測:各組織規模

  • 簡介
  • 中小規模企業
  • 大規模企業

第10章 市場分析、預測:各地區

  • 簡介
  • 北美
    • 美國
    • 加拿大
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 其他
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 其他
  • 中東、非洲
    • 中東
    • 非洲
  • 南美
    • 墨西哥
    • 巴西
    • 其他

第11章 競爭環境

  • 微象限:概要
  • 競爭基準
    • 提供產品
    • 事業策略
  • 市場排行榜

第12章 企業簡介

  • 簡介
  • RETAILNEX
  • MINDTREE
  • THINKINSIDE
  • HAPPIEST MINDS
  • SAP
  • CELECT
  • CAPILLARY TECHNOLOGIES
  • INPIXON
  • SCANALYTICS
  • RETAIL SOLUTIONS
  • DOR TECHNOLOGIES
  • SEMSEYE
  • INVENSENSE
  • WALKBASE
  • AMOOBI

第13章 附錄

目錄
Product Code: TC 7009

"Need for leveraging distinct data to enhance customer retention and store profitability, to drive the adoption of in-store analytics across the retail industry"

MarketsandMarkets estimates the global in-store analytics market to grow from USD 1.1 billion in 2018 to USD 3.2 billion by 2023, at a Compound Annual Growth Rate (CAGR) of 23.5% during the forecast period. The in-store analytics market is growing rapidly with the increasing competition of brick-and-mortar retailers from eCommerce players, growing need for better customer service and enhanced shopping experience, and rising data volume around in-store operations. However, the reluctance of traditional retailers to adopt newer technologies would limit the growth of the market.

Merchandising analysis segment is expected to grow at the highest CAGR during the forecast period

Brick-and-mortar retailers have witnessed intense competition from various eCommerce websites, which has led to a decline in their growth. Merchandising analysis software provides analytical insights for building a localized strategy on the basis of strong and weaker-performing stores. It also explores incremental revenue opportunities with flexible ad-hoc analysis. The adoption of such applications helps improve the operational efficiency of the enterprise by meeting changing conditions for each selling season.

In-store analytics market in Asia Pacific is projected to grow at the highest CAGR during the forecast period

The high growth of the market in Asia Pacific (APAC) is attributed to the high growth potential, growing retail market, and increasing digitalization in the region with the rising need of businesses to remain globally competitive. Furthermore, the inclination of countries across the region toward emerging technologies such as Artificial Intelligence (AI) and advanced analytics, is also expected to fuel the growth of the in-store analytics market. However, the lack of technological awareness, privacy issues, and limited technical expertise in advanced technologies remains the biggest hurdle in the in-store analytics adoption across the region. The cloud-based in-store analytics software presents an optimal solution for these countries by minimizing integration complexities, and installation costs.

Large enterprises to hold the largest market share during the forecast period in the in-store analytics market

Organizations have been gradually recognizing the importance of in-store analytics software, and have started deploying them, as per their needs and available resources. The adoption of in-store analytics software and services among large enterprises is high due to the voluminous data generation due to the widespread customer base. Large retailers need to correlate voluminous data with customer behavioral information exhibited across the stores to gain meaningful insights and help support revenue generation.

In-depth interviews were conducted with the Chief Executive Officers (CEOs), Chief Technology Officers (CTOs), Chief Operating Officers (COOs), Vice Presidents (VPs), Managing Directors (MDs), technology and innovation directors, and related key executives from various key companies and organizations operating in the in-store analytics market.

  • By Company - Tier 1-10%, Tier 2-25%, and Tier 3-65%
  • By Designation - C-Level-25%, Director Level-50%, and Others-25%
  • By Region - North America-40%, Europe-30%, and APAC-20%, RoW - 10%

The in-store analytics market comprises major solution providers, such as RetailNext (US), SAP (Germany), Thinkinside (Italy), Mindtree (India), Happiest Minds (India), Celect (US), Capillary Technologies (Singapore), Scanalytics (US), Inpixon (US), Retail Solutions (US), Dor Technologies (US), SEMSEYE (Lithuania), InvenSense (US), Walkbase (Finland), and Amoobi (Belgium). The study includes an in-depth competitive analysis of these key players in the in-store analytics market with their company profiles, recent developments, and key market strategies.

Research Coverage

The in-store analytics market revenue is primarily classified into revenues from software and services. Software revenue is associated with software offerings while services' revenue is associated with support and maintenance services and consulting services. The market is also segmented on the basis of application, deployment model, organization size, and region.

Key benefits of the report

The report would help the market leaders/new entrants in this market with the information on the closest approximations of the revenue numbers for the overall in-store analytics market and the subsegments. This report would help stakeholders understand the competitive landscape and gain insights to better position their businesses and plan suitable go-to-market strategies. The report also helps stakeholders understand the pulse of the market and provides them with information on the key market drivers, restraints, challenges, and opportunities.

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 OBJECTIVES OF THE STUDY
  • 1.2 MARKET DEFINITION
  • 1.3 MARKET SCOPE
  • 1.4 YEARS CONSIDERED FOR THE STUDY
  • 1.5 CURRENCY CONSIDERED
  • 1.6 STAKEHOLDERS

2 RESEARCH METHODOLOGY

  • 2.1 RESEARCH DATA
    • 2.1.1 SECONDARY DATA
    • 2.1.2 PRIMARY DATA
      • 2.1.2.1 Breakup of primaries
      • 2.1.2.2 Key industry insights
  • 2.2 MARKET BREAKUP AND DATA TRIANGULATION
  • 2.3 MARKET SIZE ESTIMATION
  • 2.4 MARKET FORECAST
  • 2.5 MICROQUADRANT RESEARCH METHODOLOGY
    • 2.5.1 VENDOR INCLUSION CRITERIA
  • 2.6 RESEARCH ASSUMPTIONS
  • 2.7 LIMITATIONS

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

  • 4.1 ATTRACTIVE MARKET OPPORTUNITIES IN THE IN-STORE ANALYTICS MARKET
  • 4.2 IN-STORE ANALYTICS MARKET, BY APPLICATION (2018-2023)
  • 4.3 IN-STORE ANALYTICS MARKET, BY ORGANIZATION SIZE (2018-2023)
  • 4.4 IN-STORE ANALYTICS MARKET: MARKET SHARE ACROSS REGIONS

5 MARKET OVERVIEW AND INDUSTRY TRENDS

  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    • 5.2.1 DRIVERS
      • 5.2.1.1 Increased competition from eCommerce players
      • 5.2.1.2 Need for better customer service and enhanced shopping experience
      • 5.2.1.3 Rising data volume around in-store operations
    • 5.2.2 RESTRAINTS
      • 5.2.2.1 Data security and privacy concerns over new advanced technologies
      • 5.2.2.2 Lack of skilled personnel
    • 5.2.3 OPPORTUNITIES
      • 5.2.3.1 Advent of cloud-based analytics
      • 5.2.3.2 High growth potential in emerging economies
    • 5.2.4 CHALLENGES
      • 5.2.4.1 Reluctance of retailers
  • 5.3 INDUSTRY TRENDS
    • 5.3.1 USE CASES
      • 5.3.1.1 USE CASE 1: Increasing profits by leveraging store inventories
      • 5.3.1.2 USE CASE 2: Understanding customer behavior to enhance revenue and profitability
      • 5.3.1.3 USE CASE 3: Tracking engagement metrics and monitoring customer behavior in real time
    • 5.3.2 IMPACT OF AI AND ML ON THE IN-STORE ANALYTICS MARKET
    • 5.3.3 IN-STORE ANALYTICS PROCESS

6 IN-STORE ANALYTICS MARKET, BY COMPONENT

  • 6.1 INTRODUCTION
  • 6.2 SOFTWARE
    • 6.2.1 NEED FOR LEVERAGING DISTINCT DATA TO ENHANCE CUSTOMER RETENTION AND STORE PROFITABILITY
  • 6.3 SERVICES
    • 6.3.1 PROFESSIONAL SERVICES
      • 6.3.1.1 Support and maintenance services
        • 6.3.1.1.1 Complexity of operations and the need for regular assistance during the software lifecycle to foster the growth of support and maintenance services
      • 6.3.1.2 Consulting services
        • 6.3.1.2.1 Need for a strategic outlook exploring new avenues for improving business performance to drive the growth of consulting services
    • 6.3.2 MANAGED SERVICES
      • 6.3.2.1 Need for monitoring and maintaining software operations and reducing overhead costs

7 IN-STORE ANALYTICS MARKET, BY APPLICATION

  • 7.1 INTRODUCTION
  • 7.2 CUSTOMER MANAGEMENT
    • 7.2.1 CUSTOMER FOOTFALL ANALYSIS
      • 7.2.1.1 Monitoring and measuring footfalls to identify various sales opportunities
    • 7.2.2 CUSTOMER BEHAVIORAL ANALYSIS
      • 7.2.2.1 Understanding customer behavior to discover pain points affecting customer behavior
    • 7.2.3 CUSTOMER SERVICE
      • 7.2.3.1 Assisting customers in enhancing customer experience and improving customer retention
  • 7.3 MARKETING MANAGEMENT
    • 7.3.1 CAMPAIGN MANAGEMENT
      • 7.3.1.1 Improving customer experience through customized campaigns
    • 7.3.2 LOYALTY MANAGEMENT
      • 7.3.2.1 Initiating loyalty programs to target the mass market
    • 7.3.3 CROSS-SELL AND UPSELL AND POINT OF SALE
      • 7.3.3.1 Generating additional revenues and increasing customer lifetime value
    • 7.3.4 MARKET BASKET ANALYSIS
      • 7.3.4.1 Identifying correlation among products to provide real-time recommendations
  • 7.4 MERCHANDISING ANALYSIS
    • 7.4.1 SPACE PLANNING AND OPTIMIZATION
      • 7.4.1.1 Optimizing spaces to improve operational efficiency
    • 7.4.2 PRODUCT CATEGORY ANALYSIS
      • 7.4.2.1 Categorizing products of similar nature and attributes
    • 7.4.3 STORE LAYOUT ANALYSIS
      • 7.4.3.1 Optimizing store layout for maximum utilization of floor space
  • 7.5 STORE OPERATIONS MANAGEMENT
    • 7.5.1 WORKFORCE OPTIMIZATION
      • 7.5.1.1 Scheduling tasks and utilizing workforce to improve the overall efficiency
    • 7.5.2 TOP-PERFORMING CATEGORIES AND PRODUCT IDENTIFICATION
      • 7.5.2.1 Predicting customer demands and top performing categories to drive sales and profitability
    • 7.5.3 INVENTORY MANAGEMENT
      • 7.5.3.1 Managing inventory to identify non-performing products and prevent out-of-stock situations
  • 7.6 RISK AND COMPLIANCE MANAGEMENT
    • 7.6.1 FRAUD DETECTION
      • 7.6.1.1 Real-time recognition of suspicious activities to safeguard confidential information
  • 7.7 OTHERS

8 IN-STORE ANALYTICS MARKET, BY DEPLOYMENT MODEL

  • 8.1 INTRODUCTION
  • 8.2 CLOUD
    • 8.2.1 IMPROVED FLEXIBILITY AND SCALABILITY TO DRIVE THE GROWTH OF CLOUD-BASED IN-STORE ANALYTICS SOFTWARE
  • 8.3 ON-PREMISES
    • 8.3.1 DATA SECURITY AND PRIVACY REQUIREMENTS TO REMAIN FACTORS DOMINATING ON-PREMISES IN-STORE ANALYTICS SOLUTIONS

9 IN-STORE ANALYTICS MARKET, BY ORGANIZATION SIZE

  • 9.1 INTRODUCTION
  • 9.2 SMALL AND MEDIUM-SIZED ENTERPRISES
    • 9.2.1 DEMAND FOR ANALYTICS SOFTWARE WITH LOW OPERATIONAL COSTS
  • 9.3 LARGE ENTERPRISES
    • 9.3.1 NEED FOR LEVERAGING VOLUMINOUS DATA TO STAY COMPETITIVE

10 IN-STORE ANALYTICS MARKET, BY REGION

  • 10.1 INTRODUCTION
  • 10.2 NORTH AMERICA
    • 10.2.1 UNITED STATES
      • 10.2.1.1 Notable technology spending and presence of a large number of retailers to bolster the growth of in-store analytics market in the United States
    • 10.2.2 CANADA
      • 10.2.2.1 Demand for comprehensive marketing, footfall measurement, and enhanced customer engagement to propel the market growth
  • 10.3 EUROPE
    • 10.3.1 UNITED KINGDOM
      • 10.3.1.1 Increasing technology adoption and various government initiatives to fuel the growth of in-store analytics market in the United Kingdom
    • 10.3.2 GERMANY
      • 10.3.2.1 Need for maintaining a competitive edge to drive the adoption of advanced technologies, such as in-store analytics, in Germany
    • 10.3.3 FRANCE
      • 10.3.3.1 Expansion of in-store analytics vendors in France to open new avenues for in-store analytics
    • 10.3.4 REST OF EUROPE
  • 10.4 ASIA PACIFIC
    • 10.4.1 CHINA
      • 10.4.1.1 Steady income growth and growing retail market to drive the implementation of in-store analytics in China
    • 10.4.2 JAPAN
      • 10.4.2.1 Expansion of the retail industry and its inclination toward emerging technologies to fuel the growth of in-store analytics market in Japan
    • 10.4.3 INDIA
      • 10.4.3.1 Partnerships of brick and mortar retailers with leading analytics solution providers to further bolster the adoption of in-store analytics in India
    • 10.4.4 REST OF ASIA PACIFIC
  • 10.5 MIDDLE EAST AND AFRICA
    • 10.5.1 MIDDLE EAST
      • 10.5.1.1 Price consciousness and high purchasing power of people to fuel the growth of in-store analytics market among retailers in the Middle East
    • 10.5.2 AFRICA
      • 10.5.2.1 Making well-informed business decisions to increase basket size and footfall driving the growth of in-store analytics market in Africa
  • 10.6 LATIN AMERICA
    • 10.6.1 MEXICO
      • 10.6.1.1 Need to curb decreasing RoI and increase profitability fueling the growth of in-store analytics market in Mexico
    • 10.6.2 BRAZIL
      • 10.6.2.1 Need for one-step pricing and customer engagement solution to propel the growth of in-store analytics market in Brazil
    • 10.6.3 REST OF LATIN AMERICA

11 COMPETITIVE LANDSCAPE

  • 11.1 MICROQUADRANT OVERVIEW
    • 11.1.1 VISIONARIES
    • 11.1.2 INNOVATORS
    • 11.1.3 DYNAMIC DIFFERENTIATORS
    • 11.1.4 EMERGING COMPANIES
  • 11.2 COMPETITIVE BENCHMARKING
    • 11.2.1 STRENGTH OF PRODUCT OFFERINGS OF MAJOR PLAYERS IN THE IN-STORE ANALYTICS MARKET
    • 11.2.2 BUSINESS STRATEGY EXCELLENCE OF MAJOR PLAYERS IN THE IN-STORE ANALYTICS MARKET
  • 11.3 MARKET RANKING

12 COMPANY PROFILES

(Business overview, Products offered, Recent developments, SWOT analysis & MnM View)*

  • 12.1 INTRODUCTION
  • 12.2 RETAILNEXT
  • 12.3 MINDTREE
  • 12.4 THINKINSIDE
  • 12.5 HAPPIEST MINDS
  • 12.6 SAP
  • 12.7 CELECT
  • 12.8 CAPILLARY TECHNOLOGIES
  • 12.9 INPIXON
  • 12.10 SCANALYTICS
  • 12.11 RETAIL SOLUTIONS
  • 12.12 DOR TECHNOLOGIES
  • 12.13 SEMSEYE
  • 12.14 INVENSENSE
  • 12.15 WALKBASE
  • 12.16 AMOOBI

Details on Business overview, Products offered, Recent developments, SWOT analysis & MnM View might not be captured in case of unlisted companies.

13 APPENDIX

  • 13.1 DISCUSSION GUIDE
  • 13.2 KNOWLEDGE STORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 13.3 AVAILABLE CUSTOMIZATION
  • 13.4 RELATED REPORTS
  • 13.5 AUTHOR DETAILS

LIST OF TABLES

  • TABLE 1: UNITED STATES DOLLAR EXCHANGE RATE, 2015-2017
  • TABLE 2: FACTOR ANALYSIS
  • TABLE 3: EVALUATION CRITERIA
  • TABLE 4: IN-STORE ANALYTICS MARKET SIZE AND GROWTH RATE, 2016-2023 (USD MILLION, Y-O-Y %)
  • TABLE 5: IN-STORE ANALYTICS MARKET SIZE, BY COMPONENT, 2016-2023 (USD MILLION)
  • TABLE 6: SOFTWARE: IN-STORE ANALYTICS MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 7: IN-STORE ANALYTICS MARKET SIZE, BY SERVICE, 2016-2023 (USD MILLION)
  • TABLE 8: SERVICES: IN-STORE ANALYTICS MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 9: IN-STORE ANALYTICS MARKET SIZE, BY PROFESSIONAL SERVICE, 2016-2023 (USD MILLION)
  • TABLE 10: PROFESSIONAL SERVICES: IN-STORE ANALYTICS MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 11: SUPPORT AND MAINTENANCE SERVICES: IN-STORE ANALYTICS MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 12: CONSULTING SERVICES: IN-STORE ANALYTICS MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 13: MANAGED SERVICES: IN-STORE ANALYTICS MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 14: IN-STORE ANALYTICS MARKET SIZE, BY APPLICATION, 2016-2023 (USD MILLION)
  • TABLE 15: CUSTOMER MANAGEMENT: IN-STORE ANALYTICS MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 16: MARKETING MANAGEMENT: IN-STORE ANALYTICS MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 17: MERCHANDISING ANALYSIS: IN-STORE ANALYTICS MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 18: STORE OPERATIONS MANAGEMENT: IN-STORE ANALYTICS MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 19: RISK AND COMPLIANCE MANAGEMENT: IN-STORE ANALYTICS MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 20: OTHERS: IN-STORE ANALYTICS MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 21: IN-STORE ANALYTICS MARKET SIZE, BY DEPLOYMENT MODEL, 2016-2023 (USD MILLION)
  • TABLE 22: CLOUD: IN-STORE ANALYTICS MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 23: ON-PREMISES: IN-STORE ANALYTICS MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 24: IN-STORE ANALYTICS MARKET SIZE, BY ORGANIZATION SIZE, 2016-2023 (USD MILLION)
  • TABLE 25: SMALL AND MEDIUM-SIZED ENTERPRISES: IN-STORE ANALYTICS MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 26: LARGE ENTERPRISES: IN-STORE ANALYTICS MARKET SIZE, BY REGION, 2016-2023 (USD MILLION) 67  
  • TABLE 27: IN-STORE ANALYTICS MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 28: NORTH AMERICA: IN-STORE ANALYTICS MARKET SIZE, BY COMPONENT, 2016-2023 (USD MILLION)
  • TABLE 29: NORTH AMERICA: IN-STORE ANALYTICS MARKET SIZE, BY SERVICE, 2016-2023 (USD MILLION)
  • TABLE 30: NORTH AMERICA: IN-STORE ANALYTICS MARKET SIZE, BY APPLICATION, 2016-2023 (USD MILLION)
  • TABLE 31: NORTH AMERICA: IN-STORE ANALYTICS MARKET SIZE, BY DEPLOYMENT MODEL, 2016-2023 (USD MILLION)
  • TABLE 32: NORTH AMERICA: IN-STORE ANALYTICS MARKET SIZE, BY ORGANIZATION SIZE, 2016-2023 (USD MILLION)
  • TABLE 33: NORTH AMERICA: IN-STORE ANALYTICS MARKET SIZE, BY COUNTRY, 2016-2023 (USD MILLION)
  • TABLE 34: EUROPE: IN-STORE ANALYTICS MARKET SIZE, BY COMPONENT, 2016-2023 (USD MILLION)
  • TABLE 35: EUROPE: IN-STORE ANALYTICS MARKET SIZE, BY SERVICE, 2016-2023 (USD MILLION)
  • TABLE 36: EUROPE: IN-STORE ANALYTICS MARKET SIZE, BY APPLICATION, 2016-2023 (USD MILLION)
  • TABLE 37: EUROPE: IN-STORE ANALYTICS MARKET SIZE, BY DEPLOYMENT MODEL, 2016-2023 (USD MILLION)
  • TABLE 38: EUROPE: IN-STORE ANALYTICS MARKET SIZE, BY ORGANIZATION SIZE, 2016-2023 (USD MILLION)
  • TABLE 39: EUROPE: IN-STORE ANALYTICS MARKET SIZE, BY COUNTRY, 2016-2023 (USD MILLION)
  • TABLE 40: ASIA PACIFIC: IN-STORE ANALYTICS MARKET SIZE, BY COMPONENT, 2016-2023 (USD MILLION)
  • TABLE 41: ASIA PACIFIC: IN-STORE ANALYTICS MARKET SIZE, BY SERVICE, 2016-2023 (USD MILLION)
  • TABLE 42: ASIA PACIFIC: IN-STORE ANALYTICS MARKET SIZE, BY APPLICATION, 2016-2023 (USD MILLION)
  • TABLE 43: ASIA PACIFIC: IN-STORE ANALYTICS MARKET SIZE, BY DEPLOYMENT MODEL, 2016-2023 (USD MILLION)
  • TABLE 44: ASIA PACIFIC: IN-STORE ANALYTICS MARKET SIZE, BY ORGANIZATION SIZE, 2016-2023 (USD MILLION)
  • TABLE 45: ASIA PACIFIC: IN-STORE ANALYTICS MARKET SIZE, BY COUNTRY, 2016-2023 (USD MILLION)
  • TABLE 46: MIDDLE EAST AND AFRICA: IN-STORE ANALYTICS MARKET SIZE, BY COMPONENT, 2016-2023 (USD MILLION)
  • TABLE 47: MIDDLE EAST AND AFRICA: IN-STORE ANALYTICS MARKET SIZE, BY SERVICE, 2016-2023 (USD MILLION)
  • TABLE 48: MIDDLE EAST AND AFRICA: IN-STORE ANALYTICS MARKET SIZE, BY APPLICATION, 2016-2023 (USD MILLION)
  • TABLE 49: MIDDLE EAST AND AFRICA: IN-STORE ANALYTICS MARKET SIZE, BY DEPLOYMENT MODEL, 2016-2023 (USD MILLION)
  • TABLE 50: MIDDLE EAST AND AFRICA: IN-STORE ANALYTICS MARKET SIZE, BY ORGANIZATION SIZE, 2016-2023 (USD MILLION)
  • TABLE 51: MIDDLE EAST AND AFRICA: IN-STORE ANALYTICS MARKET SIZE, BY SUB REGION, 2016-2023 (USD MILLION) 84  
  • TABLE 52: LATIN AMERICA: IN-STORE ANALYTICS MARKET SIZE, BY COMPONENT, 2016-2023 (USD MILLION)
  • TABLE 53: LATIN AMERICA: IN-STORE ANALYTICS MARKET SIZE, BY SERVICE, 2016-2023 (USD MILLION)
  • TABLE 54: LATIN AMERICA: IN-STORE ANALYTICS MARKET SIZE, BY APPLICATION, 2016-2023 (USD MILLION)
  • TABLE 55: LATIN AMERICA: IN-STORE ANALYTICS MARKET SIZE, BY DEPLOYMENT MODEL, 2016-2023 (USD MILLION)
  • TABLE 56: LATIN AMERICA: IN-STORE ANALYTICS MARKET SIZE, BY ORGANIZATION SIZE, 2016-2023 (USD MILLION)
  • TABLE 57: LATIN AMERICA: IN-STORE ANALYTICS MARKET SIZE, BY COUNTRY, 2016-2023 (USD MILLION)

LIST OF FIGURES

  • FIGURE 1: MARKET SEGMENTATION
  • FIGURE 2: REGIONS COVERED
  • FIGURE 3: GLOBAL IN-STORE ANALYTICS MARKET: RESEARCH DESIGN
  • FIGURE 4: IN-STORE ANALYTICS MARKET: MARKET ESTIMATION AND FORECAST METHODOLOGY
  • FIGURE 5: IN-STORE ANALYTICS MARKET OVERVIEW
  • FIGURE 6: IN-STORE ANALYTICS MARKET TO WITNESS HIGH GROWTH DURING THE FORECAST PERIOD
  • FIGURE 7: IN-STORE ANALYTICS MARKET, BY COMPONENT (2018 VS. 2023)
  • FIGURE 8: IN-STORE ANALYTICS MARKET, BY DEPLOYMENT MODEL (2018-2023)
  • FIGURE 9: INCREASING NEED TO ANALYZE CONSUMER DATA IN REAL-TIME FOR MAKING INFORMED DECISIONS TO DRIVE THE IN-STORE ANALYTICS MARKET GROWTH
  • FIGURE 10: MERCHANDISING ANALYSIS SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 11: LARGE ENTERPRISES SEGMENT TO HOLD A HIGHER MARKET SHARE DURING THE FORECAST PERIOD
  • FIGURE 12: NORTH AMERICA TO ACCOUNT FOR THE HIGHEST MARKET SHARE IN 2018
  • FIGURE 13: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: IN-STORE ANALYTICS MARKET
  • FIGURE 14: IN-STORE ANALYTICS PROCESS
  • FIGURE 15: SERVICES SEGMENT TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
  • FIGURE 16: MANAGED SERVICES SEGMENT TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
  • FIGURE 17: CONSULTING SERVICES SEGMENT TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
  • FIGURE 18: MERCHANDISING ANALYSIS SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 19: ON-PREMISES SEGMENT TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
  • FIGURE 20: SMALL AND MEDIUM-SIZED ENTERPRISES SEGMENT TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
  • FIGURE 21: ASIA PACIFIC TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 22: NORTH AMERICA: MARKET SNAPSHOT
  • FIGURE 23: ASIA PACIFIC: MARKET SNAPSHOT
  • FIGURE 24: IN-STORE ANALYTICS, COMPETITIVE LEADERSHIP MAPPING, 2018
  • FIGURE 25: RANKING OF KEY PLAYERS IN THE IN-STORE ANALYTICS MARKET, 2018
  • FIGURE 26: RETAILNEXT: SWOT ANALYSIS
  • FIGURE 27: MINDTREE: COMPANY SNAPSHOT
  • FIGURE 28: MINDTREE: SWOT ANALYSIS
  • FIGURE 29: THINKINSIDE: SWOT ANALYSIS
  • FIGURE 30: HAPPIEST MINDS: SWOT ANALYSIS
  • FIGURE 31: SAP: COMPANY SNAPSHOT
  • FIGURE 32: SAP: SWOT ANALYSIS
  • FIGURE 33: INPIXON: COMPANY SNAPSHOT