Commerce Artificial Intelligence Market Report: Trends, Forecast and Competitive Analysis to 2030

Commerce Artificial Intelligence Market Report: Trends, Forecast and Competitive Analysis to 2030


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?

Please note: It will take 2-3 business days to deliver the report upon receipt the order.


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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