Artificial Intelligence in Retail Market Shortcuts - The Easy Way with Global Analysis and Forecasts by Retail Format (E-Commerce and, Brick & Mortar), Technology (Chat-Bot, Recommendation Engine and Audio-Visual Analytics), Application (Sales & Marketing
Inception of exponential technologies such as sensors, robotics, virtual reality, and artificial intelligence in the retail industry has enabled the retailers to enhance their interactions with consumers and transformed the way retail operations were performed. This change in the industry is prominently driven by the seismic shift in the shopping pattern of the consumers, and their preferences backed by demographic dividend across regions.
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Global artificial intelligence in retail market is expected to grow from US$ 712.6 million in 2016 to US$ 27,238.6 million by 2025 at a CAGR of 51.2% between 2017 and 2025.
The List of companies
1. Sentient Technologies Holdings Limited
2. Manthan Software Services Pvt. Ltd
3. Focal Systems Inc
4. Microsoft Corporation
6. Tata Consultancy Services Limited
7. Salesforce.com, Inc
8. Plexure Ltd.
10. IBM Watson Group
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Save and reduce time carrying out entry-level research by identifying the growth, size, leading players and segments in the global artificial intelligence in retail market
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- The key findings and recommendations highlight crucial progressive industry trends in the artificial intelligence in retail market, thereby allowing players across the value chain to develop effective long term strategies
- Develop/modify business expansion plans by using substantial growth offering developed and emerging markets
- Scrutinize in-depth global market trends and outlook coupled with the factors driving the market, as well as those hindering it
- Enhance the decision-making process by understanding the strategies that underpin commercial interest with respect to client products, segmentation, pricing and distribution
- Examine the political, economic, social and technology impact of the five regions namely: North America, Europe, Asia Pacific, Middle East & Africa and South America.
The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides overview and forecast of the global Artificial Intelligence in Retail market based on various segments. It also provides market size and forecast estimates from year 2017 to 2025 with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South & Central America. The Artificial Intelligence in Retail market by each region is later sub-segmented by respective countries and segments. The report covers analysis and forecast of 18 countries globally along with current trend and opportunities prevailing in the region.
The report analyzes factors affecting Artificial Intelligence in Retail market from both demand and supply side and further evaluates market dynamics effecting the market during the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely; North America, Europe, APAC, MEA and South & Central America after evaluating political, economic, social and technological factors effecting the Artificial Intelligence in Retail market in these regions.
4 Artificial Intelligence in Retail Market Landscape 18
4.1 Market Overview 18
4.2 Market Segmentation 19
4.2.1 Global Artificial Intelligence in Retail Market - By Retail Format 21
4.2.2 Global Artificial Intelligence in Retail Market - By Technology 21
4.2.3 Global Artificial Intelligence in Retail Market - By Application 21
4.2.4 Global Artificial Intelligence in Retail Market - By Geography 21
4.3 PEST Analysis 23
4.3.1 North America PEST Analysis 23
4.3.2 Europe PEST Analysis 26
4.3.3 Asia Pacific PEST Analysis 29
4.3.4 Middle East & Africa PEST Analysis 31
4.3.5 South America PEST Analysis 34
For More Statistical and Numerical Research
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5 Global Artificial Intelligence in Retail Market - Key Industry Dynamics 36
5.1 Key Market Drivers 36
5.1.1 Startups are at the forefront, driving the adoption of AI in retail industry 36
5.1.2 Rapid adoption of game-changing technologies across the retail - value chain 37
5.1.3 Tremendous growth in mobile market is expected to encourage the widespread adoption of AI in retail 37
5.2 Key Market Restraints 38
5.2.1 Lack of in-house knowledge and cultural readiness hold back AI adoption 38
5.2.2 High cost and difficulty of implementing new technologies 38
5.3 Key Market Opporunities 39
5.3.1 Rising investments in speech analytics technology 39
5.4 Future Trends 39
5.4.1 Artificial intelligence to bridge the gap between online and offline retailing 39
5.4.2 Artificial intelligence enabled virtual mirrors to be major traction in fashion retail industry 40
5.5 Impact Analysis of Drivers and Restraints 41
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