Applied Artificial Intelligence (AI) in Retail and E-Commerce Market - Global Strategic Business Report

The global market for Applied Artificial Intelligence (AI) in Retail and E-Commerce was valued at US$27.3 Billion in 2023 and is projected to reach US$98 Billion by 2030, growing at a CAGR of 20.1% from 2023 to 2030. This comprehensive report provides an in-depth analysis of market trends, drivers, and forecasts, helping you make informed business decisions. The report includes the most recent global tariff developments and how they impact the Applied Artificial Intelligence (AI) in Retail and E-Commerce market.

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What to Expect from the Global Economy in 2024
Edgy geopolitics, and economic instability caused by monetary policy tightening and ensuing higher interest rates will create a tumultuous landscape for 2024. Several factors will continue to exert pressure on the path to recovery including hostilities in the Middle East and increasingly common climate disasters. Among the risks, several positives are also taking shape such as growing signs of disinflation and easing of anxiety over stubborn inflation, supply chain normalization and price moderation despite volatility in energy costs. Elections across several G21 jurisdictions, notably in India and the United States, will have potential ramifications for capital flows and investment strategies. While India emerges as a compelling destination in the global investment landscape, U.S, based tech firms will continue to dominate, fueled by a dynamic ecosystem of talent and capital. Tech opportunities in Silicon Valley and beyond remain attractive for investors seeking high-growth prospects supported largely by a resilient albeit slowing domestic economy and conducive regulatory environment. Europe will continue to battle tight monetary policy and recession risks with U.K. having the most challenging outlook and running the greatest risk of recession in 2024. China remains a wild card with hope for growth in the country underpinned by government spending and improvements in consumer spending. The volatile environment will offer both opportunities and challenges for investors and businesses alike. Embracing volatility as a catalyst for growth together with agility and strategic foresight in navigating investment decisions will remain important for survival.

Report Scope
The report analyzes the Applied Artificial Intelligence (AI) in Retail and E-Commerce market, presented in terms of market value (US$). The analysis covers the key segments and geographic regions outlined below:
- Segments: Technology (Machine Learning Technology, Natural Language Processing Technology, Computer Vision Technology, Speech Recognition Technology, Predictive Analytic Technology); Deployment (On-Premises Deployment, Cloud-based Deployment); Application (Customer Service & Support Application, Sales & Marketing Application, Supply Chain Management Application, Price Optimization Application, Payment Processing Application, Product Search & Discovery Application); End-Use (Retailers End-Use, Consumer Goods Manufacturers End-Use, Logistics & Supply Chain Companies End-Use).
- Geographic Regions/Countries: World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; Spain; Russia; and Rest of Europe); Asia-Pacific (Australia; India; South Korea; and Rest of Asia-Pacific); Latin America (Argentina; Brazil; Mexico; and Rest of Latin America); Middle East (Iran; Israel; Saudi Arabia; United Arab Emirates; and Rest of Middle East); and Africa.
Key Insights:
- Market Growth: Understand the significant growth trajectory of the Machine Learning Technology segment, which is expected to reach US$40 Billion by 2030 with a CAGR of a 21.7%. The Natural Language Processing Technology segment is also set to grow at 20% CAGR for the next 7-year period.
- Regional Analysis: Gain insights into the U.S. market, valued at $9.6 Billion in 2023, and China, forecasted to grow at an impressive 24.7% CAGR to reach $11.7 Billion by 2030. Discover growth trends in other key regions, including Japan, Canada, Germany, and the Asia-Pacific.
Why You Should Buy This Report:
- Detailed Market Analysis: Access a thorough analysis of the Global Applied Artificial Intelligence (AI) in Retail and E-Commerce Market, covering all major geographic regions and market segments.
- Competitive Insights: Get an overview of the competitive landscape, including the market presence of major players across different geographies.
- Future Trends and Drivers: Understand the key trends and drivers shaping the future of the Global Applied Artificial Intelligence (AI) in Retail and E-Commerce Market.
- Actionable Insights: Benefit from actionable insights that can help you identify new revenue opportunities and make strategic business decisions.
Key Questions Answered:
- How is the Global Applied Artificial Intelligence (AI) in Retail and E-Commerce Market expected to evolve by 2030?
- What are the main drivers and restraints affecting the market?
- Which market segments will grow the most over the forecast period?
- How will market shares for different regions and segments change by 2030?
- Who are the leading players in the market, and what are their prospects?
Report Features:
- Comprehensive Market Data: Independent analysis of annual sales and market forecasts in US$ Million from 2024 to 2030.
- In-Depth Regional Analysis: Detailed insights into key markets, including the U.S., China, Japan, Canada, Europe, Asia-Pacific, Latin America, Middle East, and Africa.
- Company Profiles: Coverage of players such as Accenture plc, Adeptia Inc., Axway, Boomi, Capgemini SE and more.
- Complimentary Updates: Receive free report updates for one year to keep you informed of the latest market developments.
Some of the 33 companies featured in this Applied Artificial Intelligence (AI) in Retail and E-Commerce market report include:
- Adobe Inc.- Alibaba Group- Amazon.com, Inc.- Blue Yonder GmbH- Capgemini SE- Cognizant Technology Solutions- Google LLC- IBM Corporation- Infosys Limited- Intel Corporation- Microsoft Corporation- NVIDIA Corporation- Oracle Corporation- Salesforce, Inc.- SAP SE- Shopify Inc.- Tata Consultancy Services Limited- Tencent Holdings Ltd.- Wipro Limited- Zalando SE
This edition integrates the latest global trade and economic shifts into comprehensive market analysis. Key updates include:
- Tariff and Trade Impact: Insights into global tariff negotiations across 180+ countries, with analysis of supply chain turbulence, sourcing disruptions, and geographic realignment. Special focus on 2025 as a pivotal year for trade tensions, including updated perspectives on the Trump-era tariffs.
- Adjusted Forecasts and Analytics: Revised global and regional market forecasts through 2030, incorporating tariff effects, economic uncertainty, and structural changes in globalization. Includes historical analysis from 2015 to 2023.
- Strategic Market Dynamics: Evaluation of revised market prospects, regional outlooks, and key economic indicators such as population and urbanization trends.
- Innovation & Technology Trends: Latest developments in product and process innovation, emerging technologies, and key industry drivers shaping the competitive landscape.
- Competitive Intelligence: Updated global market share estimates for 2025, competitive positioning of major players (Strong/Active/Niche/Trivial), and refined focus on leading global brands and core players.
- Expert Insight & Commentary: Strategic analysis from economists, trade experts, and domain specialists to contextualize market shifts and identify emerging opportunities.