Artificial Intelligence In Retail Market Report
RA05676
Artificial Intelligence in Retail Market, by Type (Online, Offline), Application (Predictive Merchandising, Programmatic Advertising, Market Forecasting, In-Store Visual, Monitoring and Surveillance, Location-Based Marketing, Other), Technology (Machine Learning and Deep Learning, Natural Language Processing, Others), Deployment Mode (On-premise, Cloud), Service (Professional Services, Managed Services), Solution (Product Recommendation and Planning, Customer Relationship Management, Visual Search, Virtual Assistant, Price Optimization, Payment Services management, Supply chain management and Demand Planning, Others): Global Opportunity Analysis and Industry Forecast, 2020-2027
The global artificial intelligence in retail market is estimated to surpass $19,784.7 million by 2027, exhibiting a CAGR of 35.1% from 2020 to 2027.
The report aims to offer a clear view of the present scenario and future growth of the market. The report delivers scrupulous analysis of global artificial intelligence in retail market by exhaustively reviewing several factors of the market such as key segments, market dynamics, regional market circumstances, investment suitability, and foremost players operating in the market. Moreover, the report offers sharp insights into present and prospective trends & developments in the market.
Furthermore, key opportunities and factors fueling the market growth are articulated in the report. Also, limitations and threats that have the possibility to impede the market growth are outlined in the report. Moreover. Porter’s five forces analysis that explains the bargaining power of consumers and suppliers, competitive landscape, threats of new players, and development of substitutes in the market is also profiled in the report.
By analyzing the major factors shaping the market, the report reveals statistics such as predicted market size and forecast by deeply assessing every segment of the global artificial intelligence in retail market. Regional market analysis of these segments is also provided in the report. The report segments the global artificial intelligence in retail market into four main regions including Asia-Pacific, Europe, North America, and LAMEA. Moreover, these regions are sub-divided to offer an exhaustive landscape of the artificial intelligence in retail market across key countries in respective regions. Furthermore, the report divulges some of the latest advances, trends, and upcoming opportunities in every region.
In addition to these insights, the profiles of top players active in the global artificial intelligence in retail market are articulated in the report. An exhaustive summary of 10 foremost players functioning in the global artificial intelligence in retail market is delivered to comprehend their position and footmark in the market. The report highlights various data points such as short summary of the company, chief company executives, company’s financial status and proceeds, key business strategies executed by company, advanced developments or initiatives taken by company to thrust their position and grasp a remarkable position in the global artificial intelligence in retail market.
RESEARCH METHODOLOGY
The research report is drafted by in-house research analysts who sincerely examine the market scenario and form predictions. The market forecasts specified in the report have been derived using proven research approaches and analytical models & tools. The use of such pioneering and effective tools helps market analysts in analyzing, filtering, and providing highly precise statistics and estimates. The report provides an extensive research and analysis backed with factual data obtained from various interviews with market players, reliable and renowned sources of data, and regional intelligence. The insights delivered in the report can help stakeholders in understanding investment suitability and market players to seize opportunities for partnerships, investments, and advancements in the global market.
The research report is formulated by collecting different information, news, and statistics about the artificial intelligence in retail market. For instance, detailed interviews and discussions with veteran market players and stakeholders, including upstream and downstream members have been conducted to obtain reliable and realistic data. Even though primary research forms the crucial part of the research report, secondary research plays a significant role in backing the research outcomes. Nearly 5,900 product type literatures, business magazines, company annual reports, and other such significant documents of leading market players have been considered and studied for thorough understanding of the market scenario. In addition, truthful industry bulletins, medical newsletters, trade associations’ journals, and government websites have been explored for tracking down high-value market insights.
KEY MARKET BENEFITS
- The report provides the market size and predictions for the period from 2020 to 2027.
- This report delivers inventions, trends, and innovative developments along with an exhaustive quantitative analysis of the artificial intelligence in retail market during the period of forecast.
- The prevailing and forthcoming investment opportunities along with the strategic assessment of the global artificial intelligence in retail market growth is delivered.
- The market size and forecasts are derived by scrutinizing market boomers and restraints, and key developments in the artificial intelligence in retail market.
- Insights into foremost market players, Porter’s Five Analysis, and top winning business strategies is provided.
- Growth tactics and initiatives taken by the top market players are outlined to understand the competitive scenario and strength of the market.
KEY MARKET SEGMENTS
The report segments the global market into type ,application ,technology ,deployment mode ,service ,solution .
- Type: Online, Offline
- Application: Predictive Merchandising, Programmatic Advertising, Market Forecasting, In-Store Visual, Monitoring and Surveillance, Location-Based Marketing, Other
- Technology: Machine Learning and Deep Learning, Natural Language Processing, Others
- Deployment Mode: On-premise, Cloud
- Service: Professional Services, Managed Services
- Solution: Product Recommendation and Planning, Customer Relationship Management, Visual Search, Virtual Assistant, Price Optimization, Payment Services management, Supply chain management and Demand Planning, Others
Region:
The global artificial intelligence in retail market is divided into North America, Europe, Asia Pacific, and LAMEA.
The above-mentioned regions are further dived in countries as follows:
- North America
- U.S.
- Canada
- Mexico
- Europe
- Germany
- UK
- France
- Spain
- Italy
- Rest of Europe
- Asia-Pacific
- Japan
- China
- India
- Australia
- South Korea
- Rest of Asia-Pacific
- LAMEA
- Brazil
- Argentina
- Saudi Arabia
- South Africa
- UAE
- Rest of LAMEA
KEY PLAYERS
The leading players stated in the report are Sentient technologies, Oracle, IBM, Microsoft. The report articulates the business overview including financial and annual performance, newest strategic plans & developments, product range, and SWOT analysis of all the players mentioned in the report.
1. IBM
2. Microsoft
3. Amazon Web Services
4. Oracle
5. SAP
6. Intel
7. NVIDIA
8. Google
9. Sentient technologies
10. Salesforce
11. ViSenze
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1. RESEARCH METHODOLOGY
1.1. Desk Research
1.2. Real time insights and validation
1.3. Forecast model
1.4. Assumptions and forecast parameters
1.5. Market size estimation
1.5.1. Top-down approach
1.5.2. Bottom-up approach
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2. REPORT SCOPE
2.1. Market definition
2.2. Key objectives of the study
2.3. Report overview
2.4. Market segmentation
2.5. Overview of the impact of COVID-19 on Global Artificial Intelligence in Retail Market
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3. EXECUTIVE SUMMARY
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4. MARKET OVERVIEW
4.1. Introduction
4.2. Growth impact forces
4.2.1. Drivers
4.2.2. Restraints
4.2.3. Opportunities
4.3. Market value chain analysis
4.3.1. List of raw material suppliers
4.3.2. List of manufacturers
4.3.3. List of distributors
4.4. Innovation & sustainability matrices
4.4.1. Technology matrix
4.4.2. Regulatory matrix
4.5. Porter’s five forces analysis
4.5.1. Bargaining power of suppliers
4.5.2. Bargaining power of consumers
4.5.3. Threat of substitutes
4.5.4. Threat of new entrants
4.5.5. Competitive rivalry intensity
4.6. PESTLE analysis
4.6.1. Political
4.6.2. Economical
4.6.3. Social
4.6.4. Technological
4.6.5. Environmental
4.7. Impact of COVID-19 on Artificial Intelligence in Retail Market
4.7.1. Pre-covid market scenario
4.7.2. Post-covid market scenario
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5. Artificial Intelligence In Retail Market, By Technology
5.1. Overview
5.2 Online
5.2.1 Definition, key trends, growth factors, and opportunities
5.2.2 Market size analysis, by region, 2020-2027
5.2.3 Market share analysis, by country, 2020-2027
5.3 Offline
5.3.1 Definition, key trends, growth factors, and opportunities
5.3.2 Market size analysis, by region, 2020-2027
5.3.3 Market share analysis, by country, 2020-2027
5.4 Research Dive Exclusive Insights
5.4.1 Market attractiveness
5.4.2 Competition heatmap
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6. Artificial Intelligence In Retail Market, By Component
6.1. Overview
6.2 Predictive Merchandising
6.2.1 Definition, key trends, growth factors, and opportunities
6.2.2 Market size analysis, by region, 2020-2027
6.2.3 Market share analysis, by country, 2020-2027
6.3 Programmatic Advertising
6.3.1 Definition, key trends, growth factors, and opportunities
6.3.2 Market size analysis, by region, 2020-2027
6.3.3 Market share analysis, by country, 2020-2027
6.4 Market Forecasting
6.4.1 Definition, key trends, growth factors, and opportunities
6.4.2 Market size analysis, by region, 2020-2027
6.4.3 Market share analysis, by country, 2020-2027
6.5 In-Store Visual
6.5.1 Definition, key trends, growth factors, and opportunities
6.5.2 Market size analysis, by region, 2020-2027
6.5.3 Market share analysis, by country, 2020-2027
6.6 Monitoring and Surveillance
6.6.1 Definition, key trends, growth factors, and opportunities
6.6.2 Market size analysis, by region, 2020-2027
6.6.3 Market share analysis, by country, 2020-2027
6.7 Location-Based Marketing
6.7.1 Definition, key trends, growth factors, and opportunities
6.7.2 Market size analysis, by region, 2020-2027
6.7.3 Market share analysis, by country, 2020-2027
6.8 Other
6.8.1 Definition, key trends, growth factors, and opportunities
6.8.2 Market size analysis, by region, 2020-2027
6.8.3 Market share analysis, by country, 2020-2027
6.9 Research Dive Exclusive Insights
6.9.1 Market attractiveness
6.9.2 Competition heatmap
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7. Artificial Intelligence In Retail Market, By Spectral Range
7.1. Overview
7.2 Machine Learning and Deep Learning
7.2.1 Definition, key trends, growth factors, and opportunities
7.2.2 Market size analysis, by region, 2020-2027
7.2.3 Market share analysis, by country, 2020-2027
7.3 Natural Language Processing
7.3.1 Definition, key trends, growth factors, and opportunities
7.3.2 Market size analysis, by region, 2020-2027
7.3.3 Market share analysis, by country, 2020-2027
7.4 Others
7.4.1 Definition, key trends, growth factors, and opportunities
7.4.2 Market size analysis, by region, 2020-2027
7.4.3 Market share analysis, by country, 2020-2027
7.5 Research Dive Exclusive Insights
7.5.1 Market attractiveness
7.5.2 Competition heatmap
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8. Artificial Intelligence In Retail Market, By Vertical
8.1. Overview
8.2 On-premise
8.2.1 Definition, key trends, growth factors, and opportunities
8.2.2 Market size analysis, by region, 2020-2027
8.2.3 Market share analysis, by country, 2020-2027
8.3 Cloud
8.3.1 Definition, key trends, growth factors, and opportunities
8.3.2 Market size analysis, by region, 2020-2027
8.3.3 Market share analysis, by country, 2020-2027
8.4 Research Dive Exclusive Insights
8.4.1 Market attractiveness
8.4.2 Competition heatmap
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9. Artificial Intelligence In Retail Market, By End User
9.1. Overview
9.2 Professional Services
9.2.1 Definition, key trends, growth factors, and opportunities
9.2.2 Market size analysis, by region, 2020-2027
9.2.3 Market share analysis, by country, 2020-2027
9.3 Managed Services
9.3.1 Definition, key trends, growth factors, and opportunities
9.3.2 Market size analysis, by region, 2020-2027
9.3.3 Market share analysis, by country, 2020-2027
9.4 Research Dive Exclusive Insights
9.4.1 Market attractiveness
9.4.2 Competition heatmap
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10. Artificial Intelligence In Retail Market, By Solution
10.1. Overview
10.2 Product Recommendation and Planning
10.2.1 Definition, key trends, growth factors, and opportunities
10.2.2 Market size analysis, by region, 2020-2027
10.2.3 Market share analysis, by country, 2020-2027
10.3 Customer Relationship Management
10.3.1 Definition, key trends, growth factors, and opportunities
10.3.2 Market size analysis, by region, 2020-2027
10.3.3 Market share analysis, by country, 2020-2027
10.4 Visual Search
10.4.1 Definition, key trends, growth factors, and opportunities
10.4.2 Market size analysis, by region, 2020-2027
10.4.3 Market share analysis, by country, 2020-2027
10.5 Virtual Assistant
10.5.1 Definition, key trends, growth factors, and opportunities
10.5.2 Market size analysis, by region, 2020-2027
10.5.3 Market share analysis, by country, 2020-2027
10.6 Price Optimization
10.6.1 Definition, key trends, growth factors, and opportunities
10.6.2 Market size analysis, by region, 2020-2027
10.6.3 Market share analysis, by country, 2020-2027
10.7 Payment Services management
10.7.1 Definition, key trends, growth factors, and opportunities
10.7.2 Market size analysis, by region, 2020-2027
10.7.3 Market share analysis, by country, 2020-2027
10.8 Supply chain management and Demand Planning
10.8.1 Definition, key trends, growth factors, and opportunities
10.8.2 Market size analysis, by region, 2020-2027
10.8.3 Market share analysis, by country, 2020-2027
10.9 Others
10.9.1 Definition, key trends, growth factors, and opportunities
10.9.2 Market size analysis, by region, 2020-2027
10.9.3 Market share analysis, by country, 2020-2027
10.10 Research Dive Exclusive Insights
10.10.1 Market attractiveness
10.10.2 Competition heatmap
11. Artificial Intelligence In Retail Market, By Region
11.1 North America
11.1.1 U.S
11.1.1.1 Market size analysis, By Technology, 2020-2027
11.1.1.2 Market size analysis, By Component, 2020-2027
11.1.1.3 Market size analysis, By Spectral Range, 2020-2027
11.1.1.4 Market size analysis, By Vertical, 2020-2027
11.1.1.5 Market size analysis, By End User, 2020-2027
11.1.1.6 Market size analysis, By Solution, 2020-2027
11.1.2 Canada
11.1.2.1 Market size analysis, By Technology, 2020-2027
11.1.2.2 Market size analysis, By Component, 2020-2027
11.1.2.3 Market size analysis, By Spectral Range, 2020-2027
11.1.2.4 Market size analysis, By Vertical, 2020-2027
11.1.2.5 Market size analysis, By End User, 2020-2027
11.1.2.6 Market size analysis, By Solution, 2020-2027
11.1.3 Mexico
11.1.3.1 Market size analysis, By Technology, 2020-2027
11.1.3.2 Market size analysis, By Component, 2020-2027
11.1.3.3 Market size analysis, By Spectral Range, 2020-2027
11.1.3.4 Market size analysis, By Vertical, 2020-2027
11.1.3.5 Market size analysis, By End User, 2020-2027
11.1.3.6 Market size analysis, By Solution, 2020-2027
11.1.4 Research Dive Exclusive Insights
11.1.4.1 Market attractiveness
11.1.4.2 Competition heatmap
11.2 Europe
11.2.1 Germany
11.2.1.1 Market size analysis, By Technology, 2020-2027
11.2.1.2 Market size analysis, By Component, 2020-2027
11.2.1.3 Market size analysis, By Spectral Range, 2020-2027
11.2.1.4 Market size analysis, By Vertical, 2020-2027
11.2.1.5 Market size analysis, By End User, 2020-2027
11.2.1.6 Market size analysis, By Solution, 2020-2027
11.2.2 UK
11.2.2.1 Market size analysis, By Technology, 2020-2027
11.2.2.2 Market size analysis, By Component, 2020-2027
11.2.2.3 Market size analysis, By Spectral Range, 2020-2027
11.2.2.4 Market size analysis, By Vertical, 2020-2027
11.2.2.5 Market size analysis, By End User, 2020-2027
11.2.2.6 Market size analysis, By Solution, 2020-2027
11.2.3 France
11.2.3.1 Market size analysis, By Technology, 2020-2027
11.2.3.2 Market size analysis, By Component, 2020-2027
11.2.3.3 Market size analysis, By Spectral Range, 2020-2027
11.2.3.4 Market size analysis, By Vertical, 2020-2027
11.2.3.5 Market size analysis, By End User, 2020-2027
11.2.3.6 Market size analysis, By Solution, 2020-2027
11.2.4 Spain
11.2.4.1 Market size analysis, By Technology, 2020-2027
11.2.4.2 Market size analysis, By Component, 2020-2027
11.2.4.3 Market size analysis, By Spectral Range, 2020-2027
11.2.4.4 Market size analysis, By Vertical, 2020-2027
11.2.4.5 Market size analysis, By End User, 2020-2027
11.2.4.6 Market size analysis, By Solution, 2020-2027
11.2.5 Italy
11.2.5.1 Market size analysis, By Technology, 2020-2027
11.2.5.2 Market size analysis, By Component, 2020-2027
11.2.5.3 Market size analysis, By Spectral Range, 2020-2027
11.2.5.4 Market size analysis, By Vertical, 2020-2027
11.2.5.5 Market size analysis, By End User, 2020-2027
11.2.5.6 Market size analysis, By Solution, 2020-2027
11.2.6 Rest of Europe
11.2.6.1 Market size analysis, By Technology, 2020-2027
11.2.6.2 Market size analysis, By Component, 2020-2027
11.2.6.3 Market size analysis, By Spectral Range, 2020-2027
11.2.6.4 Market size analysis, By Vertical, 2020-2027
11.2.6.5 Market size analysis, By End User, 2020-2027
11.2.6.6 Market size analysis, By Solution, 2020-2027
11.2.7 Research Dive Exclusive Insights
11.2.7.1 Market attractiveness
11.2.7.2 Competition heatmap
11.3 Asia-Pacific
11.3.1 China
11.3.1.1 Market size analysis, By Technology, 2020-2027
11.3.1.2 Market size analysis, By Component, 2020-2027
11.3.1.3 Market size analysis, By Spectral Range, 2020-2027
11.3.1.4 Market size analysis, By Vertical, 2020-2027
11.3.1.5 Market size analysis, By End User, 2020-2027
11.3.1.6 Market size analysis, By Solution, 2020-2027
11.3.2 Japan
11.3.2.1 Market size analysis, By Technology, 2020-2027
11.3.2.2 Market size analysis, By Component, 2020-2027
11.3.2.3 Market size analysis, By Spectral Range, 2020-2027
11.3.2.4 Market size analysis, By Vertical, 2020-2027
11.3.2.5 Market size analysis, By End User, 2020-2027
11.3.2.6 Market size analysis, By Solution, 2020-2027
11.3.3 India
11.3.3.1 Market size analysis, By Technology, 2020-2027
11.3.3.2 Market size analysis, By Component, 2020-2027
11.3.3.3 Market size analysis, By Spectral Range, 2020-2027
11.3.3.4 Market size analysis, By Vertical, 2020-2027
11.3.3.5 Market size analysis, By End User, 2020-2027
11.3.3.6 Market size analysis, By Solution, 2020-2027
11.3.4 Australia
11.3.4.1 Market size analysis, By Technology, 2020-2027
11.3.4.2 Market size analysis, By Component, 2020-2027
11.3.4.3 Market size analysis, By Spectral Range, 2020-2027
11.3.4.4 Market size analysis, By Vertical, 2020-2027
11.3.4.5 Market size analysis, By End User, 2020-2027
11.3.4.6 Market size analysis, By Solution, 2020-2027
11.3.5 South Korea
11.3.5.1 Market size analysis, By Technology, 2020-2027
11.3.5.2 Market size analysis, By Component, 2020-2027
11.3.5.3 Market size analysis, By Spectral Range, 2020-2027
11.3.5.4 Market size analysis, By Vertical, 2020-2027
11.3.5.5 Market size analysis, By End User, 2020-2027
11.3.5.6 Market size analysis, By Solution, 2020-2027
11.3.6 Rest of Asia-Pacific
11.3.6.1 Market size analysis, By Technology, 2020-2027
11.3.6.2 Market size analysis, By Component, 2020-2027
11.3.6.3 Market size analysis, By Spectral Range, 2020-2027
11.3.6.4 Market size analysis, By Vertical, 2020-2027
11.3.6.5 Market size analysis, By End User, 2020-2027
11.3.6.6 Market size analysis, By Solution, 2020-2027
11.3.7 Research Dive Exclusive Insights
11.3.7.1 Market attractiveness
11.3.7.2 Competition heatmap
11.4 LAMEA
11.4.1 Brazil
11.4.1.1 Market size analysis, By Technology, 2020-2027
11.4.1.2 Market size analysis, By Component, 2020-2027
11.4.1.3 Market size analysis, By Spectral Range, 2020-2027
11.4.1.4 Market size analysis, By Vertical, 2020-2027
11.4.1.5 Market size analysis, By End User, 2020-2027
11.4.1.6 Market size analysis, By Solution, 2020-2027
11.4.2 Saudi Arabia
11.4.2.1 Market size analysis, By Technology, 2020-2027
11.4.2.2 Market size analysis, By Component, 2020-2027
11.4.2.3 Market size analysis, By Spectral Range, 2020-2027
11.4.2.4 Market size analysis, By Vertical, 2020-2027
11.4.2.5 Market size analysis, By End User, 2020-2027
11.4.2.6 Market size analysis, By Solution, 2020-2027
11.4.3 UAE
11.4.3.1 Market size analysis, By Technology, 2020-2027
11.4.3.2 Market size analysis, By Component, 2020-2027
11.4.3.3 Market size analysis, By Spectral Range, 2020-2027
11.4.3.4 Market size analysis, By Vertical, 2020-2027
11.4.3.5 Market size analysis, By End User, 2020-2027
11.4.3.6 Market size analysis, By Solution, 2020-2027
11.4.4 South Africa
11.4.4.1 Market size analysis, By Technology, 2020-2027
11.4.4.2 Market size analysis, By Component, 2020-2027
11.4.4.3 Market size analysis, By Spectral Range, 2020-2027
11.4.4.4 Market size analysis, By Vertical, 2020-2027
11.4.4.5 Market size analysis, By End User, 2020-2027
11.4.4.6 Market size analysis, By Solution, 2020-2027
11.4.5 Rest of LAMEA
11.4.5.1 Market size analysis, By Technology, 2020-2027
11.4.5.2 Market size analysis, By Component, 2020-2027
11.4.5.3 Market size analysis, By Spectral Range, 2020-2027
11.4.5.4 Market size analysis, By Vertical, 2020-2027
11.4.5.5 Market size analysis, By End User, 2020-2027
11.4.5.6 Market size analysis, By Solution, 2020-2027
11.4.6 Research Dive Exclusive Insights
11.4.6.1 Market attractiveness
11.4.6.2 Competition heatmap
12. Competitive Landscape
12.1 Top winning strategies, 2020-2027
12.1.1 By strategy
12.1.2 By year
12.2 Strategic overview
12.3 Market share analysis, 2020-2027
13. Company Profiles
13.1 IBM
13.1.1 Overview
13.1.2 Business segments
13.1.3 Product portfolio
13.1.4 Financial performance
13.1.5 Recent developments
13.1.6 SWOT analysis
13.2 Microsoft
13.2.1 Overview
13.2.2 Business segments
13.2.3 Product portfolio
13.2.4 Financial performance
13.2.5 Recent developments
13.2.6 SWOT analysis
13.3 Amazon Web Services
13.3.1 Overview
13.3.2 Business segments
13.3.3 Product portfolio
13.3.4 Financial performance
13.3.5 Recent developments
13.3.6 SWOT analysis
13.4 Oracle
13.4.1 Overview
13.4.2 Business segments
13.4.3 Product portfolio
13.4.4 Financial performance
13.4.5 Recent developments
13.4.6 SWOT analysis
13.5 SAP
13.5.1 Overview
13.5.2 Business segments
13.5.3 Product portfolio
13.5.4 Financial performance
13.5.5 Recent developments
13.5.6 SWOT analysis
13.6 Intel
13.6.1 Overview
13.6.2 Business segments
13.6.3 Product portfolio
13.6.4 Financial performance
13.6.5 Recent developments
13.6.6 SWOT analysis
13.7 NVIDIA
13.7.1 Overview
13.7.2 Business segments
13.7.3 Product portfolio
13.7.4 Financial performance
13.7.5 Recent developments
13.7.6 SWOT analysis
13.8 Google
13.8.1 Overview
13.8.2 Business segments
13.8.3 Product portfolio
13.8.4 Financial performance
13.8.5 Recent developments
13.8.6 SWOT analysis
13.9 Sentient technologies
13.9.1 Overview
13.9.2 Business segments
13.9.3 Product portfolio
13.9.4 Financial performance
13.9.5 Recent developments
13.9.6 SWOT analysis
13.10 Salesforce
13.10.1 Overview
13.10.2 Business segments
13.10.3 Product portfolio
13.10.4 Financial performance
13.10.5 Recent developments
13.10.6 SWOT analysis
13.11 ViSenze
13.11.1 Overview
13.11.2 Business segments
13.11.3 Product portfolio
13.11.4 Financial performance
13.11.5 Recent developments
13.11.6 SWOT analysis
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