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Comprehensive Artificial Intelligence (AI) Enabled E-Commerce Solutions Market Insights: Forecasting Size, Growth, and Competitive Trends from 2025 to 2034
Artificial Intelligence AI Enabled E Commerce Solutions Market
The growing need for fraud detection and prevention in light of increasing digital transactions, more sophisticated fraud methods, and the escalating intricacy of interconnected systems, underlines the necessity to secure assets and uphold trust in fiscal operations. This has led to the surge in artificial intelligence (AI)-enabled e-commerce solutions market. These AI-enhanced e-commerce solutions provide superior capabilities to detect and counter fraudulent activities, thereby augmenting the assurance, security, and efficacy of online transactions. For example, a survey conducted by Cybersource, a US payment gateway company, involving 1,072 merchants, highlighted a jump in global fraud attacks such as phishing, pharming, and whaling, to 43% of merchants from a previous 35% in 2022. Besides, there was also a surge in coupon, discount, and refund abuse, soaring from 25% to 30% in 2023. Hence, the boosting need for fraud detection and prevention is contributing to the expansion of the AI-powered e-commerce solutions market.
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How will the growth rate of the artificial intelligence (ai) enabled e-commerce solutions market shape industry trends by 2034?
The market size of e-commerce solutions powered by artificial intelligence (AI) has seen significant expansion in the recent past. It is projected to increase from $5.81 billion in 2024 to $6.73 billion in 2025, maintaining a compound annual growth rate (CAGR) of 15.7%. Factors contributing to the growth during the historic period include higher implementation of machine learning algorithms, the advent of personalized shopping experiences, superior customer service with AI chatbots, improved product suggestion systems, and automated inventory management.
The market for AI-enabled e-commerce solutions is predicted to experience swift expansion in the upcoming years, escalating to a value of $11.9 billion by 2029 with a CAGR of 15.3%. This projected growth in the upcoming period can be credited to the widespread application of AI in areas such as fraud detection and mitigation, the rise of voice commerce interfaces, the blending of augmented reality for amplified shopping experiences, the expansion of AI-driven visual search capabilities, and the implementation of predictive analytics for adaptive pricing strategies. Notable trend shifts in the forecast timeline encompass heightened concentration on sustainability and ethical AI practices, the advent of hyper-personalization via sophisticated AI algorithms, the adoption of AI for enhancing supply chain management and predictive inventory control, the integration of AI-powered virtual shopping aides and personal shopper services, and the broadening of AI-guided recommendation engines over numerous channels.
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What are the emerging trends shaping the future of the artificial intelligence (ai) enabled e-commerce solutions market?
Leading businesses in the artificial intelligence (AI)-powered e-commerce solutions sector are investing in the development of state-of-the-art conversation-based product finding tools. These tools, equipped with advanced personalization technology like AI-fueled shopping assistants, ensure personalized and uninterrupted shopping experiences, giving these companies a competitive edge. Essentially, an AI-based shopping assistant is a virtual tool that utilizes AI to provide personalized shopping advice and suggestions online. For instance, in January 2024, Constructor, an American firm known for its inventive e-commerce and AI solutions, introduced a conversational product discovery tool, the AI Shopping Assistant (ASA). Powered by transformers, ASA can understand customers' needs expressed in natural language and provide personalized recommendations for products and content. ASA is capable of learning from every step of a customer's shopping journey, personalizing the shopping experience based on the customer's preferences, history, and objectives. The blend of generative AI and personalization technology enables ASA to provide suggestions akin to a trusted store associate, taking into account the detailed requests of the shopper and the real-time inventory of the e-commerce firm.
Which primary segments of the artificial intelligence (ai) enabled e-commerce solutions market are driving growth and industry transformations?
The artificial intelligence (AI) enabled e-commerce solutions market covered in this report is segmented -
1) By Technology: Deep Learning, Machine Learning, Natural Language Programming
2) By Deployment: On-Premises, Cloud
3) By Application: Customer Relationship Management, Supply Chain Analysis, Fake Review Analysis, Warehouse Automation, Merchandizing, Product Recommendation, Customer Service
Subsegments:
1) By Deep Learning: Image Recognition, Product Recommendations, Customer Behavior Prediction, Fraud Detection
2) By Machine Learning: Personalized Shopping Experience, Dynamic Pricing, Inventory Management, Sales Forecasting
3) By Natural Language Processing: Chatbots, Voice Search Optimization, Sentiment Analysis, Product Search And Filtering
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Which geographical regions are pioneering growth in the artificial intelligence (ai) enabled e-commerce solutions market?
North America was the largest region in the artificial intelligence (AI)-enabled e-commerce solutions market in 2024. The regions covered in the artificial intelligence (AI) enabled e-commerce solutions market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
Who are the influential players reshaping the artificial intelligence (ai) enabled e-commerce solutions market landscape?
Major companies operating in the artificial intelligence (AI) enabled e-commerce solutions market report are Microsoft Corporation; International Business Machines Corporation; Oracle Corporation; SAP SE; Salesforce.com Inc.; Adobe Inc.; Shopify Inc.; Sitecore Corporation A/S; Bazaarvoice Inc.; BigCommerce Pty. Ltd.; BloomReach Inc.; Yotpo Ltd.; Commercetools GmbH; Optimizely Inc.; Magento Inc.; RichRelevance Inc.; Coveo Solutions Inc.; Ada Support Inc.; Elastic Path Software Inc.; Inbenta Technologies Inc.; Uberflip Inc.; Nosto Solutions Ltd.; Klevu Oy; Landbot.io S.L.; Hellotars Inc.
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What Is Covered In The Artificial Intelligence (AI) Enabled E-Commerce Solutions Global Market Report?
• Market Size Forecast: Examine the artificial intelligence (ai) enabled e-commerce solutions market size across key regions, countries, product categories, and applications.
• Segmentation Insights: Identify and classify subsegments within the artificial intelligence (ai) enabled e-commerce solutions market for a structured understanding.
• Key Players Overview: Analyze major players in the artificial intelligence (ai) enabled e-commerce solutions market, including their market value, share, and competitive positioning.
• Growth Trends Exploration: Assess individual growth patterns and future opportunities in the artificial intelligence (ai) enabled e-commerce solutions market.
• Segment Contributions: Evaluate how different segments drive overall growth in the artificial intelligence (ai) enabled e-commerce solutions market.
• Growth Factors: Highlight key drivers and opportunities influencing the expansion of the artificial intelligence (ai) enabled e-commerce solutions market.
• Industry Challenges: Identify potential risks and obstacles affecting the artificial intelligence (ai) enabled e-commerce solutions market.
• Competitive Landscape: Review strategic developments in the artificial intelligence (ai) enabled e-commerce solutions market, including expansions, agreements, and new product launches.
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