“Commercial Artificial Intelligence Market Size was escalated at USD 2.62 Bn in 2021 and is to reach USD 26.18 Bn by 2028, with emerging CAGR of 22.88% over the forecast period 2022-2028, Say’s SNS Insider.”
Commerce artificial intelligence Market is a subfield that refers to the use of artificial intelligence in commercial activities. Artificial intelligence (AI) is a branch of computer science that aims to develop programmable machines by simulating human intelligence. Human-like speech recognition, learning, planning and problem solving are all possible with AI-integrated machines.
The factors including the increasing machineability for judgments caused by the use of trillion bytes of online data and comprehensive expenses in AI-based solutions are expected to accelerate the growth of commerce artificial intelligence market. In addition, the use of fully autonomous robots that can perceive, interact, and conceptualize the world around them will also further aggravate the growth of the market. Its ability to diagnose equipment malfunctions or detect product anomalies is also projected to cushion the overall growth of the market. However, the requirement of workforce with certain skill for developing, managing and implementing AI systems results as a growth restraint for the market.
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Major Key Players Included in this report are:
· Oracle
· IBM
· General Vision
· Siemens
· Accenture
· AWS
· Lurkin
· Agralogics
· Microsoft
· and Agrible
Commercial Artificial Intelligence Market Segmentation Outlook 2022
The report includes intriguing insights, key industry changes, complete market segmentation, a list of leading market competitors, and other global market trends. The comprehensive analysis presents a detailed picture of the sector, including a wide range of subjects such as product definition, market segmentation, and the current retailing environment. When all is said and done, this excellent market research study provides a comprehensive picture of the Commercial Artificial Intelligence industry.
KEY MARKET SEGMENTS:
On The Basis of Technology
- Deep Learning
- Machine Learning
- Natural Language Processing (NLP)
- Others
On The Basis of Implementation
- Cloud-hosting
- On-premises
On The Basis of Application
- Customer relationship management
- Supply chain analysis
- Merchandising
- virtual personal assistant
- Warehouse automation
- Others
On The Basis of End-User
- BFSI
- Retail & Commerce
- Food & beverages
- Manufacturing
- Healthcare
- Transportation & Logistics
- Others
REGIONAL COVERAGE:
· North America
· Europe
· Asia-Pacific
· The Middle East & Africa
· Latin America
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Competitive Outlook of Commercial Artificial Intelligence Industry
The Commercial Artificial Intelligence market research includes a list of main competitors, as well as strategic insights and an analysis of the industry's important factors. The study contains a SWOT analysis that describes the market's drivers and restraints, as well as a wealth of information on the market's definitions, classifications, applications, and interactions. The study provides great statistics, future estimates, and in-depth market analysis on an international and regional basis.
Recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of market players, analyses of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, and technological advancements.
Report Conclusion
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Table of Content
- Introduction
- Research Methodology
- Market Dynamics
- Impact Analysis
- Value Chain Analysis
- Porter’s 5 Forces Model
- PEST Analysis
- Commercial Artificial Intelligence Market Segmentation, By Technology
- Commercial Artificial Intelligence Market Segmentation, By Implementation
- Commercial Artificial Intelligence Market Segmentation, By Application
- Commercial Artificial Intelligence Market Segmentation, By End-User
- Regional Analysis
- Company Profiles
- Competitive Landscape
- Conclusion
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