+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)

PRINTER FRIENDLY

AI in Retail Market Research Report: By Offering, Technology, Regional Insight - Global Industry Analysis and Growth Forecast to 2024

  • ID: 4844618
  • Report
  • Region: Global
  • 154 pages
  • Prescient & Strategic Intelligence Private Limited
1 of 3

FEATURED COMPANIES

  • Accenture PLC
  • Evolv Technologies Inc.
  • Infosys Limited
  • Microsoft Corporation
  • Oracle Corporation
  • SAP SE
  • MORE
The global artificial intelligence (AI) in retail market attained $720.0 million in 2018 and is predicted to witness a CAGR of 35.4% during 2019-2024 (forecast period). The factors contributing to the growth of the market include the increasing investments in AI by retail companies and expanding e-retail industry. With AI, retailers have been able to automate their work processes, study consumer behavior, and capture relevant data through the adoption of numerous advanced technologies, such as machine learning, natural language processing (NLP), and computer vision.

When technology is considered, the AI in retail market is divided into computer vision, NLP, machine learning, and others (which include gesture recognition and analytics). Machine learning generated the highest revenue during the historical period (2014-2018) and is expected to dominate the market during the forecast period as well. The reason for this is the rising use of this technology by online retailers to enhance the customer experience by offering personalized services. The highest CAGR is also projected to be registered by the machine learning technology during the forecast period.

On the basis of offering, the AI in retail market is bifurcated into solution and service. The category of solutions is projected to contribute higher revenue to the market during the forecast period due to their growing adoption by e-commerce enterprises in North America for providing better shopping experience to customers. This category is further divided into supply chain management, visual search, price optimization, customer relationship management, recommendation engine, chatbot, and others. Among these, the recommendation engine division is expected to register the highest CAGR during the forecast period.

Market Segmentation by Offering

Solution
Chatbot
Customer Behavior Tracking
Customer Relationship Management (CRM)
Data Analytics & Visualization
Fraud Detection
Others
Service
Professional
Managed

Market Segmentation by Technology

Machine Learning
Natural Language Processing (NLP)
Computer Vision
Others

Market Segmentation by End-Use

Banking
Insurance
Wealth Management

Market Segmentation by Geography

North America AI in BFSI Market

By offering
By technology
By end-use
By country (U.S., Canada)

Europe AI in BFSI Market

By offering
By technology
By end-use
By country (UK, Germany, France, Russia, Italy, Rest of Europe)

Asia-Pacific (APAC) AI in BFSI Market

By offering
By technology
By end-use
By country (China, India, Japan, South Korea, Australia, Rest of APAC)

Latin America (LATAM) AI in BFSI Market

By offering
By technology
By end-use
By country (Mexico, Brazil, Rest of LATAM)

Middle East and Africa (MEA) AI in BFSI Market

By offering
By technology
By end-use
By country (U.A.E, Saudi Arabia, Turkey, South Africa, Rest of MEA)
Note: Product cover images may vary from those shown
2 of 3

FEATURED COMPANIES

  • Accenture PLC
  • Evolv Technologies Inc.
  • Infosys Limited
  • Microsoft Corporation
  • Oracle Corporation
  • SAP SE
  • MORE
Chapter 1. Research Background
1.1 Research Objectives
1.2 Market Definition
1.3 Research Scope
1.3.1 Market Segmentation by Offering
1.3.2 Market Segmentation by Technology
1.3.3 Market Segmentation by Geography
1.3.4 Analysis Period
1.3.5 Market Data Reporting Unit
1.4 Key Stakeholders

Chapter 2. Research Methodology
2.1 Secondary Research
2.2 Primary Research
2.2.1 Breakdown of Primary Research Respondents
2.2.1.1 By region
2.2.1.2 By industry participant
2.2.1.3 By company type
2.3 Market Size Estimation
2.4 Data Triangulation
2.5 Assumptions for the Study

Chapter 3. Executive Summary

Chapter 4. Introduction
4.1 Definition of Market Segments
4.1.1 By Offering
4.1.1.1 Solution
4.1.1.1.1 Recommendation engine
4.1.1.1.2 SCM
4.1.1.1.3 CRM
4.1.1.1.4 Chatbot
4.1.1.1.5 Price optimization
4.1.1.1.6 Visual search
4.1.1.1.7 Others
4.1.1.2 Service
4.1.1.2.1 Managed
4.1.1.2.2 Professional
4.1.2 By Technology
4.1.2.1 Machine learning
4.1.2.2 NLP
4.1.2.3 Computer vision
4.1.2.4 Others
4.2 Value Chain Analysis
4.3 Market Dynamics
4.3.1 Trends
4.3.1.1 Increasing adoption of AI for multi-channel marketing
4.3.2 Drivers
4.3.2.1 Growing e-retail industry
4.3.2.2 Increasing investments in AI by retail companies
4.3.3 Restraints
4.3.3.1 Lack of qualified AI professionals
4.3.3.2 High cost of AI-based solutions
4.3.4 Opportunities
4.3.4.1 Demand for AI-based chatbots
4.3.4.2 Growing adoption of AI-based image recognition technology
4.4 Porter's Five Forces Analysis
4.4.1 Bargaining Power of Buyers
4.4.2 Bargaining Power of Suppliers
4.4.3 Threat of New Entrants
4.4.4 Intensity of Rivalry
4.4.5 Threat of Substitutes

Chapter 5. Global Market Size and Forecast
5.1 By Offering
5.1.1 AI in Retail Market, by Solution
5.1.2 AI in Retail Market, by Service
5.2 By Technology
5.3 By Region

Chapter 6. North America Market Size and Forecast
6.1 By Offering
6.1.1 AI in Retail Market, by Solution
6.1.2 AI in Retail Market, by Service
6.2 By Technology
6.3 By Country

Chapter 7. Europe Market Size and Forecast
7.1 By Offering
7.1.1 AI in Retail Market, by Solution
7.1.2 AI in Retail Market, by Service
7.2 By Technology
7.3 By Country

Chapter 8. APAC Market Size and Forecast
8.1 By Offering
8.1.1 AI in Retail Market, by Solution
8.1.2 AI in Retail Market, by Service
8.2 By Technology
8.3 By Country

Chapter 9. LATAM Market Size and Forecast
9.1 By Offering
9.1.1 AI in Retail Market, by Solution
9.1.2 AI in Retail Market, by Service
9.2 By Technology
9.3 By Country

Chapter 10. MEA Market Size and Forecast
10.1 By Offering
10.1.1 AI in Retail Market, by Solution
10.1.2 AI in Retail Market, by Service
10.2 By Technology
10.3 By Country

Chapter 11. Competitive Landscape
11.1 Ranking of Key Players
11.2 Competitive Benchmarking of Key Players
11.3 Key Players and Their Offerings
11.4 Recent Activities of Major Players
11.5 Strategic Developments of Key Players
11.5.1 Mergers and Acquisitions
11.5.2 Partnerships
11.5.3 Product Launches
11.5.4 Other Developments

Chapter 12. Company Profiles
12.1 International Business Machines Corporation
12.1.1 Business Overview
12.1.2 Product and Service Offerings
12.1.3 Key Financial Summary
12.1.4 SWOT Analysis
12.2 Microsoft Corporation
12.2.1 Business Overview
12.2.2 Product and Service Offerings
12.2.3 Key Financial Summary
12.2.4 SWOT Analysis
12.3 Google LLC
12.3.1 Business Overview
12.3.2 Product and Service Offerings
12.4 salesforce.com inc.
12.4.1 Business Overview
12.4.2 Product and Service Offerings
12.4.3 Key Financial Summary
12.4.4 SWOT Analysis
12.5 Oracle Corporation
12.5.1 Business Overview
12.5.2 Product and Service Offerings
12.5.3 SWOT Analysis
12.6 SAP SE
12.6.1 Business Overview
12.6.2 Product and Service Offerings
12.6.3 Key Financial Summary
12.6.4 SWOT Analysis
12.7 Accenture PLC
12.7.1 Business Overview
12.7.2 Product and Service Offerings
12.7.3 Key Financial Summary
12.7.4 SWOT Analysis
12.8 Infosys Limited
12.8.1 Business Overview
12.8.2 Product and Service Offerings
12.8.3 Key Financial Summary
12.8.4 SWOT Analysis
12.9 Intel Corporation
12.9.1 Business Overview
12.9.2 Product and Service Offerings
12.9.3 Key Financial Summary
12.9.4 SWOT Analysis
12.10 Amazon Web Services Inc.
12.10.1 Business Overview
12.10.2 Product and Service Offerings
12.11 ViSenze Pte. Ltd.
12.11.1 Business Overview
12.11.2 Product and Service Offerings
12.12 Evolv Technologies Inc.
12.12.1 Business Overview
12.12.2 Product and Service Offerings
12.13 Numenta Inc.
12.13.1 Business Overview
12.13.2 Product and Service Offerings

Chapter 13. Appendix
13.1 Abbreviations
13.2 Sources and References
13.3 Related Reports

List of Tables
TABLEE 1 ANALYSIS PERIOD OF THE STUDY
TABLE 2 DRIVERS FOR THE MARKET: IMPACT ANALYSIS
TABLE 3 RESTRAINTS FOR THE MARKET: IMPACT ANALYSIS
TABLE 4 GLOBAL AI IN RETAIL MARKET, BY OFFERING, $M (2014-2018)
TABLE 5 GLOBAL AI IN RETAIL MARKET, BY OFFERING, $M (2019-2024)
TABLE 6 GLOBAL AI IN RETAIL MARKET, BY SOLUTION, $M (2014-2018)
TABLE 7 GLOBAL AI IN RETAIL MARKET, BY SOLUTION, $M (2019-2024)
TABLE 8 GLOBAL AI IN RETAIL MARKET, BY SERVICE, $M (2014-2018)
TABLE 9 GLOBAL AI IN RETAIL MARKET, BY SERVICE, $M (2019-2024)
TABLE 10 GLOBAL AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2014-2018)
TABLE 11 GLOBAL AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2019-2024)
TABLE 12 GLOBAL AI IN RETAIL MARKET, BY REGION, $M (2014-2018)
TABLE 13 GLOBAL AI IN RETAIL MARKET, BY REGION, $M (2019-2024)
TABLE 14 NORTH AMERICA AI IN RETAIL MARKET, BY OFFERING, $M (2014-2018)
TABLE 15 NORTH AMERICA AI IN RETAIL MARKET, BY OFFERING, $M (2019-2024)
TABLE 16 NORTH AMERICA AI IN RETAIL MARKET, BY SOLUTION, $M (2014-2018)
TABLE 17 NORTH AMERICA AI IN RETAIL MARKET, BY SOLUTION, $M (2019-2024)
TABLE 18 NORTH AMERICA AI IN RETAIL MARKET, BY SERVICE, $M (2014-2018)
TABLE 19 NORTH AMERICA AI IN RETAIL MARKET, BY SERVICE, $M (2019-2024)
TABLE 20 NORTH AMERICA AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2014-2018)
TABLE 21 NORTH AMERICA AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2019-2024)
TABLE 22 NORTH AMERICA AI IN RETAIL MARKET, BY COUNTRY, $M (2014-2018)
TABLE 23 NORTH AMERICA AI IN RETAIL MARKET, BY COUNTRY, $M (2019-2024)
TABLE 24 EUROPE AI IN RETAIL MARKET, BY OFFERING, $M (2014-2018)
TABLE 25 EUROPE AI IN RETAIL MARKET, BY OFFERING, $M (2019-2024)
TABLE 26 EUROPE AI IN RETAIL MARKET, BY SOLUTION, $M (2014-2018)
TABLE 27 EUROPE AI IN RETAIL MARKET, BY SOLUTION, $M (2019-2024)
TABLE 28 EUROPE AI IN RETAIL MARKET, BY SERVICE, $M (2014-2018)
TABLE 29 EUROPE AI IN RETAIL MARKET, BY SERVICE, $M (2019-2024)
TABLE 30 EUROPE AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2014-2018)
TABLE 31 EUROPE AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2019-2024)
TABLE 32 EUROPE AI IN RETAIL MARKET, BY COUNTRY, $M (2014-2018)
TABLE 33 EUROPE AI IN RETAIL MARKET, BY COUNTRY, $M (2019-2024)
TABLE 34 APAC AI IN RETAIL MARKET, BY OFFERING, $M (2014-2018)
TABLE 35 APAC AI IN RETAIL MARKET, BY OFFERING, $M (2019-2024)
TABLE 36 APAC AI IN RETAIL MARKET, BY SOLUTION, $M (2014-2018)
TABLE 37 APAC AI IN RETAIL MARKET, BY SOLUTION, $M (2019-2024)
TABLE 38 APAC AI IN RETAIL MARKET, BY SERVICE, $M (2014-2018)
TABLE 39 APAC AI IN RETAIL MARKET, BY SERVICE, $M (2019-2024)
TABLE 40 APAC AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2014-2018)
TABLE 41 APAC AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2019-2024)
TABLE 42 APAC AI IN RETAIL MARKET, BY COUNTRY, $M (2014-2018)
TABLE 43 APAC AI IN RETAIL MARKET, BY COUNTRY, $M (2019-2024)
TABLE 44 LATAM AI IN RETAIL MARKET, BY OFFERING, $M (2014-2018)
TABLE 45 LATAM AI IN RETAIL MARKET, BY OFFERING, $M (2019-2024)
TABLE 46 LATAM AI IN RETAIL MARKET, BY SOLUTION, $M (2014-2018)
TABLE 47 LATAM AI IN RETAIL MARKET, BY SOLUTION, $M (2019-2024)
TABLE 48 LATAM AI IN RETAIL MARKET, BY SERVICE, $M (2014-2018)
TABLE 49 LATAM AI IN RETAIL MARKET, BY SERVICE, $M (2019-2024)
TABLE 50 LATAM AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2014-2018)
TABLE 51 LATAM AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2019-2024)
TABLE 52 LATAM AI IN RETAIL MARKET, BY COUNTRY, $M (2014-2018)
TABLE 53 LATAM AI IN RETAIL MARKET, BY COUNTRY, $M (2019-2024)
TABLE 54 MEA AI IN RETAIL MARKET, BY OFFERING, $M (2014-2018)
TABLE 55 MEA AI IN RETAIL MARKET, BY OFFERING, $M (2019-2024)
TABLE 56 MEA AI IN RETAIL MARKET, BY SOLUTION, $M (2014-2018)
TABLE 57 MEA AI IN RETAIL MARKET, BY SOLUTION, $M (2019-2024)
TABLE 58 MEA AI IN RETAIL MARKET, BY SERVICE, $M (2014-2018)
TABLE 59 MEA AI IN RETAIL MARKET, BY SERVICE, $M (2019-2024)
TABLE 60 MEA AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2014-2018)
TABLE 61 MEA AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2019-2024)
TABLE 62 MEA AI IN RETAIL MARKET, BY COUNTRY, $M (2014-2018)
TABLE 63 MEA AI IN RETAIL MARKET, BY COUNTRY, $M (2019-2024)
TABLE 64 KEY MARKET PLAYERS AND THEIR OFFERINGS
TABLE 65 INTERNATIONAL BUSINESS MACHINES CORPORATION - AT A GLANCE
TABLE 66 INTERNATIONAL BUSINESS MACHINES CORPORATION - KEY FINANCIAL SUMMARY
TABLE 67 MICROSOFT CORPORATION - AT A GLANCE
TABLE 68 MICROSOFT CORPORATION - KEY FINANCIAL SUMMARY
TABLE 69 GOOGLE LLC - AT A GLANCE
TABLE 70 SALESFORCE.COM INC. - AT A GLANCE
TABLE 71 SALESFORCE.COM INC. - KEY FINANCIAL SUMMARY
TABLE 72 ORACLE CORPORATION - AT A GLANCE
TABLE 73 ORACLE CORPORATION - KEY FINANCIAL SUMMARY
TABLE 74 SAP SE - AT A GLANCE
TABLE 75 SAP SE - KEY FINANCIAL SUMMARY
TABLE 76 ACCENTURE PLC - AT A GLANCE
TABLE 77 ACCENTURE PLC - KEY FINANCIAL SUMMARY
TABLE 78 INFOSYS LIMITED - AT A GLANCE
TABLE 79 INFOSYS LIMITED - KEY FINANCIAL SUMMARY
TABLE 80 INTEL CORPORATION - AT A GLANCE
TABLE 81 INTEL CORPORATION - KEY FINANCIAL SUMMARY
TABLE 82 AMAZON WEB SERVICES INC. - AT A GLANCE
TABLE 83 VISENZE PTE. LTD. - AT A GLANCE
TABLE 84 EVOLV TECHNOLOGIES INC. - AT A GLANCE
TABLE 85 NUMENTA INC. - AT A GLANCE

List of Figures
FIG 1 RESEARCH SCOPE
FIG 2 RESEARCH METHODOLOGY
FIG 3 REGIONAL SPLIT OF PRIMARY AND SECONDARY RESEARCH
FIG 4 BREAKDOWN OF PRIMARY RESEARCH BY REGION
FIG 5 BREAKDOWN OF PRIMARY RESEARCH BY INDUSTRY PARTICIPANT
FIG 6 BREAKDOWN OF PRIMARY RESEARCH BY COMPANY TYPE
FIG 7 DATA TRIANGULATION APPROACH
FIG 8 AI IN RETAIL MARKET SUMMARY
FIG 9 VALUE CHAIN ANALYSIS
FIG 10 BARGAINING POWER OF BUYERS
FIG 11 BARGAINING POWER OF SUPPLIERS
FIG 12 THREAT OF NEW ENTRANTS
FIG 13 INTENSITY OF RIVALRY
FIG 14 THREAT OF SUBSTITUTES
FIG 15 GLOBAL AI IN RETAIL MARKET, BY OFFERING, $M (2014-2024)
FIG 16 GLOBAL AI IN RETAIL MARKET, BY SOLUTION, $M (2014-2024)
FIG 17 GLOBAL AI IN RETAIL MARKET, BY SERVICE, $M (2014-2024)
FIG 18 GLOBAL AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2014-2024)
FIG 19 WORLDWIDE MAJOR MARKETS FOR AI IN RETAIL
FIG 20 GLOBAL AI IN RETAIL MARKET, BY REGION, $M (2014-2024)
FIG 21 NORTH AMERICA AI IN RETAIL MARKET SNAPSHOT
FIG 22 NORTH AMERICA AI IN RETAIL MARKET, BY OFFERING, $M (2014-2024)
FIG 23 NORTH AMERICA AI IN RETAIL MARKET, BY SOLUTION, $M (2014-2024)
FIG 24 NORTH AMERICA AI IN RETAIL MARKET, BY SERVICE, $M (2014-2024)
FIG 25 NORTH AMERICA AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2014-2024)
FIG 26 NORTH AMERICA AI IN RETAIL MARKET, BY COUNTRY, $M (2014-2024)
FIG 27 EUROPE AI IN RETAIL MARKET SNAPSHOT
FIG 28 EUROPE AI IN RETAIL MARKET, BY OFFERING, $M (2014-2024)
FIG 29 EUROPE AI IN RETAIL MARKET, BY SOLUTION, $M (2014-2024)
FIG 30 EUROPE AI IN RETAIL MARKET, BY SERVICE, $M (2014-2024)
FIG 31 EUROPE AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2014-2024)
FIG 32 EUROPE AI IN RETAIL MARKET, BY COUNTRY, $M (2014-2024)
FIG 33 APAC AI IN RETAIL MARKET SNAPSHOT
FIG 34 APAC AI IN RETAIL MARKET, BY OFFERING, $M (2014-2024)
FIG 35 APAC AI IN RETAIL MARKET, BY SOLUTION, $M (2014-2024)
FIG 36 APAC AI IN RETAIL MARKET, BY SERVICE, $M (2014-2024)
FIG 37 APAC AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2014-2024)
FIG 38 APAC AI IN RETAIL MARKET, BY COUNTRY, $M (2014-2024)
FIG 39 LATAM AI IN RETAIL MARKET SNAPSHOT
FIG 40 LATAM AI IN RETAIL MARKET, BY OFFERING, $M (2014-2024)
FIG 41 LATAM AI IN RETAIL MARKET, BY SOLUTION, $M (2014-2024)
FIG 42 LATAM AI IN RETAIL MARKET, BY SERVICE, $M (2014-2024)
FIG 43 LATAM AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2014-2024)
FIG 44 LATAM AI IN RETAIL MARKET, BY COUNTRY, $M (2014-2024)
FIG 45 MEA AI IN RETAIL MARKET SNAPSHOT
FIG 46 MEA AI IN RETAIL MARKET, BY OFFERING, $M (2014-2024)
FIG 47 MEA AI IN RETAIL MARKET, BY SOLUTION, $M (2014-2024)
FIG 48 MEA AI IN RETAIL MARKET, BY SERVICE, $M (2014-2024)
FIG 49 MEA AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2014-2024)
FIG 50 MEA AI IN RETAIL MARKET, BY COUNTRY, $M (2014-2024)
FIG 51 RANKING OF MAJOR PLAYERS IN AI IN RETAIL MARKET (2018)
FIG 52 RECENT ACTIVITIES OF MAJOR PLAYERS
Note: Product cover images may vary from those shown
3 of 3

Loading
LOADING...

4 of 3
  • International Business Machines Corporation
  • Microsoft Corporation
  • Google LLC
  • salesforce.com inc.
  • Oracle Corporation
  • SAP SE
  • Accenture PLC
  • Infosys Limited
  • Intel Corporation
  • Amazon Web Services Inc.
  • ViSenze Pte. Ltd.
  • Evolv Technologies Inc.
  • Numenta Inc.
Note: Product cover images may vary from those shown
Adroll
adroll