Meticulous Research®, a leading global market research company, has released its latest report titled, “AI in E-commerce Market by Technology (ML, NLP, Computer Vision), Business Model, Deployment Mode, Product Offering (Beauty & Fashion, Pharmaceutical, Electronic), End User (B2B, B2C), and Geography - Global Forecast to 2031.” This detailed analysis forecasts that the global AI in e-commerce market will achieve a valuation of $11.1 billion by 2031, growing at a CAGR of 17.8% during the forecast period.
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The anticipated growth in the AI in e-commerce sector is driven by several factors, including an increasing need for customer retention, the proliferation of social media and social commerce, a rise in internet and smartphone penetration, and a growing necessity to automate and enhance inventory management systems. Despite these growth drivers, the market faces challenges, particularly due to high initial investment costs.
Significantly, the report highlights the potential opportunities presented by the rising adoption of voice recognition technology, which is expected to propel market expansion. Conversely, concerns regarding data privacy and a shortage of skilled labor remain hurdles that could impede growth.
Market Segmentation and Insights
Meticulous Research® has meticulously segmented the AI in e-commerce market based on technology, business model, deployment mode, product offering, end user, and geography to provide comprehensive insights. The report also evaluates key competitors in the industry and analyzes market dynamics at both regional and country levels.
• Technology: The market is segmented into machine learning (ML), natural language processing (NLP), computer vision, deep learning, and other technologies. Notably, the machine learning segment is projected to hold the largest market share in 2024, driven by its applications in customer experience management and predictive merchandising. However, the computer vision segment is expected to exhibit the highest CAGR, fueled by the need for improved inventory management and enhanced product discovery.
• Business Model: The report identifies horizontal and vertical e-commerce models, with the horizontal e-commerce segment anticipated to dominate the market share in 2024. This model caters to a wide range of product categories, thus attracting a broader consumer base. Conversely, the vertical e-commerce segment is forecasted to experience the highest CAGR, offering specialized shopping experiences within specific niches.
• Deployment Mode: The market is analyzed based on on-premise and cloud-based deployments. The on-premise deployment segment is set to lead in market share in 2024, largely due to security preferences among large enterprises. However, the cloud-based deployment segment is projected to grow at the fastest rate, driven by the evolution of cloud technologies and their adoption by small and medium-sized enterprises.
• Product Offering: Segmented into various categories, the beauty & fashion products segment is expected to capture the largest share in 2024, propelled by the rising demand for cosmetics and clothing. Meanwhile, the electronic products segment is predicted to register the highest CAGR, supported by the increasing demand for advanced electronic devices and technologies.
• End User: The market is divided into B2B and B2C segments, with the B2B segment anticipated to hold a larger share in 2024 due to the growing need for secure transactions and AI adoption for pricing optimization and inventory management.
• Geography: The report highlights that Asia-Pacific is poised to dominate the global AI in e-commerce market in 2024, driven by large consumer bases, growing smartphone and internet penetration, and rising disposable income.
Key Players
The report identifies prominent players operating within the global AI in e-commerce market, including Amazon Web Services, Inc. (U.S.), Google LLC (U.S.), IBM Corporation (U.S.), Alibaba Cloud (China), Intel Corporation (U.S.), Microsoft Corporation (U.S.), Shelf.AI (Portugal), Appier Inc. (Japan), NVIDIA Corporation (U.S.), Granify, Inc. (Canada), Oracle Corporation (U.S.), Manthan Software Services Pvt. Ltd. (U.S.), SAP SE (Germany), LivePerson, Inc. (U.S.), and Twiggle Ltd. (Israel).
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