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Commerce Artificial Intelligence Trends and Forecast
The future of the global commerce artificial intelligence market looks promising with opportunities in the customer relationship management, supply chain analysis, fake review analysis, merchandising, warehouse automation, product recommendation, customer service, and fleet management markets. The global commerce artificial intelligence market is expected to reach an estimated $6.4 billion by 2030 with a CAGR of 13.2% from 2024 to 2030. The major drivers for this market are growing preference for smart commercialism in industries and rising deployment of this technology in the expanding e-commerce industry.
A more than 150-page report is developed to help in your business decisions. Sample figures with some insights are shown below.
Commerce Artificial Intelligence by Segment
The study includes a forecast for the global commerce artificial intelligence by platform, technology, application, end use industry, and region.
Commerce Artificial Intelligence Market by Platform [Shipment Analysis by Value from 2018 to 2030]:
• E-Commerce
• In Store
Commerce Artificial Intelligence Market by Technology [Shipment Analysis by Value from 2018 to 2030]:
• Deep Learning
• Machine Learning
• NLP
• Others
Commerce Artificial Intelligence Market by Application [Shipment Analysis by Value from 2018 to 2030]:
• Customer Relationship Management
• Supply Chain Analysis
• Fake Review Analysis
• Merchandising
• Warehouse Automation
• Product Recommendation
• Customer Service
• Fleet Management
• Others
Commerce Artificial Intelligence Market by End Use Industry [Shipment Analysis by Value from 2018 to 2030]:
• Retail
• Electronics
• Logistics
• Food and Beverages
• Others
Commerce Artificial Intelligence Market by Region [Shipment Analysis by Value from 2018 to 2030]:
• North America
• Europe
• Asia Pacific
• The Rest of the World
List of Commerce Artificial Intelligence Companies
Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies commerce artificial intelligence companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the commerce artificial intelligence companies profiled in this report include-
• Microsoft
• SAP
• Amazon
• Alphabet
• IBM
Commerce Artificial Intelligence Market Insights
Lucintel forecasts that e-commerce is expected to witness higher growth over the forecast period due to widespread use of commerce AI in this platform to create useful business insights.
Warehouse automation is expected to witness highest growth over the forecast perioddue to growing use of robots in this setting to automate and speed up work.
North America is expected to witness highest growth over the forecast period due to substantial government and private sector investment in the advancement of AI technology and presence of key players in the region.
Features of the Global Commerce Artificial Intelligence Market
Market Size Estimates: Commerce artificial intelligence market size estimation in terms of value ($B).
Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.
Segmentation Analysis: Commerce artificial intelligence market by various segments, such as by platform, technology, application, end use industry and region in terms of($B).
Regional Analysis: Commerce artificial intelligence market breakdown by North America, Europe, Asia Pacific, and Rest of the World.
Growth Opportunities: Analysis of growth opportunities in different platforms, technologies, applications, end use industries, and regions for the commerce artificial intelligence market.
Strategic Analysis: This includes M&A, new product development, and competitive landscape of the commerce artificial intelligence market.
Analysis of competitive intensity of the industry based on Porter’s Five Forces model.
FAQ
Q.1 What is the commerce artificial intelligence market size?
Answer: The global commerce artificial intelligence market is expected to reach an estimated $6.4 billion by 2030.
Q.2 What is the growth forecast for commerce artificial intelligence market?
Answer: The global commerce artificial intelligence market is expected to grow with a CAGR of 13.2% from 2024 to 2030.
Q.3 What are the major drivers influencing the growth of the commerce artificial intelligence market?
Answer: The major drivers for this market are growing preference for smart commercialism in industries and rising deployment of this technology in the expanding e-commerce industry.
Q4. What are the major segments for commerce artificial intelligence market?
Answer: The future of the commerce artificial intelligence market looks promising with opportunities in the customer relationship management, supply chain analysis, fake review analysis, merchandising, warehouse automation, product recommendation, customer service, and fleet management markets.
Q5. Who are the key commerce artificial intelligence market companies?
Answer: Some of the key commerce artificial intelligence companies are as follows:
• Microsoft
• SAP
• Amazon
• Alphabet
• IBM
Q6. Which commerce artificial intelligence market segment will be the largest in future?
Answer: Lucintel forecasts that e-commerce is expected to witness higher growth over the forecast period due to widespread use of commerce AI in this platform to create useful business insights.
Q7. In commerce artificial intelligence market, which region is expected to be the largest in next 5 years?
Answer: North America is expected to witness highest growth over the forecast period due to substantial government and private sector investment in the advancement of AI technology and presence of key players in the region.
Q.8 Do we receive customization in this report?
Answer: Yes, Lucintel provides 10% customization without any additional cost.
This report answers following 11 key questions:
Q.1. What are some of the most promising, high-growth opportunities for the commerce artificial intelligence market by platform (e-commerce and in store), technology (deep learning, machine learning, NLP, and others), application (customer relationship management, supply chain analysis, fake review analysis, merchandising, warehouse automation, product recommendation, customer service, fleet management, and others), end use industry (retail, electronics, logistics, food and beverages, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
Q.2. Which segments will grow at a faster pace and why?
Q.3. Which region will grow at a faster pace and why?
Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
Q.5. What are the business risks and competitive threats in this market?
Q.6. What are the emerging trends in this market and the reasons behind them?
Q.7. What are some of the changing demands of customers in the market?
Q.8. What are the new developments in the market? Which companies are leading these developments?
Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?
For any questions related to Commerce Artificial Intelligence Market, Commerce Artificial Intelligence Market Size, Commerce Artificial Intelligence Market Growth, Commerce Artificial Intelligence Market Analysis, Commerce Artificial Intelligence Market Report, Commerce Artificial Intelligence Market Share, Commerce Artificial Intelligence Market Trends, Commerce Artificial Intelligence Market Forecast, Commerce Artificial Intelligence Companies, write Lucintel analyst at email: helpdesk@lucintel.com. We will be glad to get back to you soon.
Table of Contents
1. Executive Summary
2. Global Commerce Artificial Intelligence Market: Market Dynamics
2.1: Introduction, Background, and Classifications
2.2: Supply Chain
2.3: Industry Drivers and Challenges
3. Market Trends and Forecast Analysis from 2018 to 2030
3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
3.2. Global Commerce Artificial Intelligence Market Trends (2018-2023) and Forecast (2024-2030)
3.3: Global Commerce Artificial Intelligence Market by Platform
3.3.1: E-Commerce
3.3.2: In Store
3.4: Global Commerce Artificial Intelligence Market by Technology
3.4.1: Deep Learning
3.4.2: Machine Learning
3.4.3: NLP
3.4.4: Others
3.5: Global Commerce Artificial Intelligence Market by Application
3.5.1: Customer Relationship Management
3.5.2: Supply Chain Analysis
3.5.3: Fake Review Analysis
3.5.4: Merchandising
3.5.5: Warehouse Automation
3.5.6: Product Recommendation
3.5.7: Customer Service
3.5.8: Fleet Management
3.5.9: Others
3.6: Global Commerce Artificial Intelligence Market by End Use Industry
3.6.1: Retail
3.6.2: Electronics
3.6.3: Logistics
3.6.4: Food and Beverages
3.6.5: Others
4. Market Trends and Forecast Analysis by Region from 2018 to 2030
4.1: Global Commerce Artificial Intelligence Market by Region
4.2: North American Commerce Artificial Intelligence Market
4.2.2: North American Commerce Artificial Intelligence Market by Application: Customer Relationship Management, Supply Chain Analysis, Fake Review Analysis, Merchandising, Warehouse Automation, Product Recommendation, Customer Service, Fleet Management, and Others
4.3: European Commerce Artificial Intelligence Market
4.3.1: European Commerce Artificial Intelligence Market by Platform: E-Commerce and In Store
4.3.2: European Commerce Artificial Intelligence Market by Application: Customer Relationship Management, Supply Chain Analysis, Fake Review Analysis, Merchandising, Warehouse Automation, Product Recommendation, Customer Service, Fleet Management, and Others
4.4: APAC Commerce Artificial Intelligence Market
4.4.1: APAC Commerce Artificial Intelligence Market by Platform: E-Commerce and In Store
4.4.2: APAC Commerce Artificial Intelligence Market by Application: Customer Relationship Management, Supply Chain Analysis, Fake Review Analysis, Merchandising, Warehouse Automation, Product Recommendation, Customer Service, Fleet Management, and Others
4.5: ROW Commerce Artificial Intelligence Market
4.5.1: ROW Commerce Artificial Intelligence Market by Platform: E-Commerce and In Store
4.5.2: ROW Commerce Artificial Intelligence Market by Application: Customer Relationship Management, Supply Chain Analysis, Fake Review Analysis, Merchandising, Warehouse Automation, Product Recommendation, Customer Service, Fleet Management, and Others
5. Competitor Analysis
5.1: Product Portfolio Analysis
5.2: Operational Integration
5.3: Porter’s Five Forces Analysis
6. Growth Opportunities and Strategic Analysis
6.1: Growth Opportunity Analysis
6.1.1: Growth Opportunities for the Global Commerce Artificial Intelligence Market by Platform
6.1.2: Growth Opportunities for the Global Commerce Artificial Intelligence Market by Technology
6.1.3: Growth Opportunities for the Global Commerce Artificial Intelligence Market by Application
6.1.4: Growth Opportunities for the Global Commerce Artificial Intelligence Market by End Use Industry
6.1.5: Growth Opportunities for the Global Commerce Artificial Intelligence Market by Region
6.2: Emerging Trends in the Global Commerce Artificial Intelligence Market
6.3: Strategic Analysis
6.3.1: New Product Development
6.3.2: Capacity Expansion of the Global Commerce Artificial Intelligence Market
6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global Commerce Artificial Intelligence Market
6.3.4: Certification and Licensing
7. Company Profiles of Leading Players
7.1: Microsoft
7.2: SAP
7.3: Amazon
7.4: Alphabet
7.5: IBM
.
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Lucintel has been in the business of market research and management consulting since 2000 and has published over 1000 market intelligence reports in various markets / applications and served over 1,000 clients worldwide. This study is a culmination of four months of full-time effort performed by Lucintel's analyst team. The analysts used the following sources for the creation and completion of this valuable report:
In-depth interviews of the major players in this market
Detailed secondary research from competitors’ financial statements and published data
Extensive searches of published works, market, and database information pertaining to industry news, company press releases, and customer intentions
A compilation of the experiences, judgments, and insights of Lucintel’s professionals, who have analyzed and tracked this market over the years.
Extensive research and interviews are conducted across the supply chain of this market to estimate market share, market size, trends, drivers, challenges, and forecasts. Below is a brief summary of the primary interviews that were conducted by job function for this report.
Thus, Lucintel compiles vast amounts of data from numerous sources, validates the integrity of that data, and performs a comprehensive analysis. Lucintel then organizes the data, its findings, and insights into a concise report designed to support the strategic decision-making process. The figure below is a graphical representation of Lucintel’s research process.
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