AI In Retail And Consumer Products Market Size 2025-2029
The ai in retail and consumer products market size is forecast to increase by USD 34.9 billion, at a CAGR of 29.6% between 2024 and 2029.
A primary factor in the global AI in retail and consumer products market is the fundamental shift in consumer demand for hyper-personalized engagement. This expectation for bespoke interactions at every touchpoint is a challenge for traditional retail models. Artificial intelligence, particularly through machine learning algorithms, enables businesses to transform mass communication into individualized dialogue. This involves analyzing vast customer data sets to power sophisticated recommendation engines and personalize digital experiences. The emergence of generative AI further enhances this with intelligent shopping assistants, making AI for sales a critical component for growth. This push for superior customer experience is now a baseline requirement in the competitive marketplace.A defining trend is the rapid integration of generative AI in retail for customer-facing applications and internal workflows. This marks a shift from purely analytical AI to a creative and interactive function. Generative AI models create novel, human-like content, opening new possibilities in conversational commerce and automated content creation. These advancements in ai in fashion and other sectors are evolving chatbots into intelligent shopping assistants capable of fluid, personalized guidance. However, the immense complexity and variable quality of data present a formidable challenge. The performance of any AI application, including ai-driven customer support agents, is directly linked to the integrity of its underlying data, making data governance a critical hurdle.
What will be the Size of the AI In Retail And Consumer Products Market during the forecast period?
Explore in-depth regional segment analysis with market size data - historical 2019 - 2023 and forecasts 2025-2029 - in the full report.
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The ongoing integration of artificial intelligence is actively reshaping the operational frameworks of the retail and consumer products sectors. This evolution is characterized by the continuous application of AI-driven personalization and machine learning algorithms to refine customer engagement strategies. The focus remains on leveraging predictive analytics to anticipate market shifts and consumer behaviors, ensuring that decision-making processes are dynamic and data-informed. The artificial intelligence (AI) market in retail sector is seeing a constant refinement of these technologies.Simultaneously, a persistent activity involves the deployment of computer vision systems and robotic process automation to enhance supply chain resilience and in-store operational efficiency. The development of intelligent physical environments through these technologies is an unfolding process, aimed at bridging the gap between digital and physical retail. This includes the evolving use of autonomous mobile robots and automated shelf monitoring systems. As part of ai in consumer electronics, these systems are continually being optimized.There is also an ongoing pattern of applying AI further upstream in product innovation and assortment optimization. The use of generative AI models to create hyper-localized assortments and de-risk new product development is a continuous activity, not a finite project. This strategic application of AI, central to ai in branding, illustrates a move toward a more agile and customer-centric product lifecycle, where data insights perpetually inform creative and strategic processes.
How is this AI In Retail And Consumer Products Industry segmented?
The ai in retail and consumer products industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in "USD million" for the period 2025-2029, as well as historical data from 2019 - 2023 for the following segments.
- Component
- Technology
- Application
- Demand forecasting and inventory management
- Customer experience and engagement
- Pricing and promotion optimization
- Others
- Geography
- North America
- APAC
- China
- India
- Japan
- South Korea
- Australia
- Indonesia
- Europe
- Germany
- UK
- France
- Italy
- Spain
- The Netherlands
- South America
- Middle East and Africa
- Rest of World (ROW)
By Component Insights
The software segment is estimated to witness significant growth during the forecast period.
The software segment is the most dynamic component of the global AI in retail and consumer products market, encompassing a wide spectrum of solutions. These range from foundational AI platforms to specialized, application-specific software. Cloud-based Software as a Service (SAAS) models have been instrumental in democratizing access to sophisticated AI capabilities. The core function of this software is to process vast data volumes from the retail value chain to produce predictive insights and automate complex decision-making processes.
Key applications driving segment growth include hyper-personalization engines, dynamic pricing algorithms, and advanced demand forecasting systems that optimize inventory levels. With South America representing a 5.81% market opportunity, the adoption of accessible software solutions is crucial for enabling retailers in emerging economies to compete. Natural language processing is also powering the proliferation of intelligent chatbots, transforming customer service by providing instant, 24/7 support and enhancing the overall customer journey through conversational commerce agents.
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The Software segment was valued at USD 4.7 billion in 2019 and showed a gradual increase during the forecast period.
Regional Analysis
North America is estimated to contribute 35.2% to the growth of the global market during the forecast period.Technavio’s analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.
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The North America market for AI in retail and consumer products is the largest and most mature globally, led by the United States. Its dominance is supported by high consumer spending power, a culture of technological adoption, and the presence of influential technology corporations and retail leaders. The market in this region is defined by intense competition, compelling retailers to continuously invest in technologies like AI-powered recommendation engines and dynamic pricing algorithms to gain a competitive edge in delivering hyper-personalized customer experiences.
The primary applications of AI in North America are heavily focused on creating sophisticated omnichannel supply chains and leveraging data for predictive insights. The region has a robust venture capital ecosystem that actively funds a vibrant landscape of retail-tech startups, introducing novel AI solutions. As the Middle East and Africa region accounts for 4.56% of the opportunity, the mature North American market often serves as a model for technology adoption, though localized strategies are essential for success in diverse global markets.
Market Dynamics
Our researchers analyzed the data with 2024 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.
The global AI in retail market is rapidly evolving, driven by the quest for enhanced customer engagement and operational efficiency. Retailers are leveraging AI for hyper-personalized customer journeys and creating AI-powered real-time shopper experiences through innovations like generative AI in conversational commerce and cognitive customer-care response generation. The convergence of AI and computer vision is enabling powerful tools such as computer-vision and voice AI search, improving product discovery. Furthermore, the deployment of personalized shopping and store operations agents, supported by a robust retail AI platform for digital humans, is redefining in-store and online interactions. Specialized applications, including agentic AI for matching decor styles, demonstrate the growing sophistication in tailoring services to individual consumer preferences, significantly boosting engagement and sales.Beyond customer experience, AI is critical for back-end optimization. The focus is on building AI for resilient intelligent supply chains through superior AI-driven demand forecasting and optimization. Strategic applications like AI in product innovation and assortment are informed by agentic AI customer intelligence prediction and even predicting trends with green agents. In-store, technologies are advancing with cashier-less checkout and loss-prevention systems and a solid AI foundation for store clustering for tailored local strategies. However, widespread adoption faces hurdles. While the democratization of advanced AI tools is underway, firms grapple with data complexity and governance issues, significant AI implementation costs and ROI considerations, and the persistent scarcity of specialized AI talent required to execute these complex initiatives.
What are the key market drivers leading to the rise in the adoption of AI In Retail And Consumer Products Industry?
- The imperative for hyper-personalization and an enhanced customer experience is a primary driver for the global AI in retail and consumer products market.
A powerful factor shaping the global AI in retail and consumer products market is the irreversible shift in consumer expectations toward hyper-personalization. Modern consumers, influenced by seamless digital experiences, demand a granular understanding of their preferences and purchase history. AI, through machine learning algorithms and hyper-personalization engines, allows businesses to meet this demand at scale. By analyzing millions of customer data points, from browsing patterns to social media engagement, AI fuels sophisticated recommendation systems and dynamic pricing algorithms. This transforms customer engagement from a mass-market approach to a highly individualized dialogue, significantly increasing conversion rates and satisfaction. Generative AI further elevates this with intelligent virtual assistants that offer interactive guidance previously only possible with a human associate.The relentless pressure for operational efficiency and the need for more resilient, intelligent supply chains is another critical factor. The retail and consumer products industries operate on thin profit margins with complex logistical networks. AI provides powerful tools to move operations from a reactive to a proactive, predictive posture. AI-powered demand forecasting, a key application, analyzes diverse datasets to predict demand with greater accuracy than traditional methods. This capability is the foundation of effective inventory management optimization, reducing both stockouts and overstocks. In North America, which accounts for 35.15% of the geographic opportunity, these operational enhancements are particularly crucial for maintaining a competitive edge in a mature market.
What are the market trends shaping the AI In Retail And Consumer Products Industry?
- A key trend is the proliferation of generative AI, which is transforming conversational commerce and content creation processes.
A defining trend in the global AI in retail and consumer products market is the rapid proliferation of generative AI in customer-facing applications and internal workflows. This represents a paradigm shift from traditional AI's analytical capabilities to a creative and interactive function. Powered by large language models, generative AI creates novel, human-like content, including text and images, which unlocks new frontiers in conversational commerce and automated content creation. Intelligent shopping assistants, an evolution from basic chatbots, can now engage in fluid, open-ended conversations and provide personalized guidance. This transforms the e-commerce experience into an interactive and consultative activity, fostering deeper customer engagement. This is particularly relevant in the artificial intelligence (AI) market in retail sector, where differentiation is key.The accelerating convergence of artificial intelligence and computer vision is another major trend, transforming brick-and-mortar stores into intelligent, data-rich environments. This trend allows physical retail to close the data gap with e-commerce by deploying cameras and sensors that, when interpreted by sophisticated AI models, provide a deep, real-time understanding of the physical world. The APAC region, representing 30.94% of the market opportunity, is a key area for this development due to its mobile-first consumer base and rapid urbanization. Applications include autonomous checkout technology, which eliminates checkout lines, and AI-powered systems for in-store operational excellence, such as monitoring shelves for out-of-stock items. This creates a cycle of continuous improvement in efficiency and customer experience.
What challenges does the AI In Retail And Consumer Products Industry face during its growth?
- A foundational challenge affecting industry growth is the complexity, quality, and governance issues related to data.
A formidable challenge impeding the effective implementation of AI in retail is the immense complexity, variable quality, and inadequate governance of data. AI systems are fundamentally dependent on vast quantities of high-quality data for training and operation. However, the data landscape within most retail organizations is notoriously fragmented, with critical information siloed across disparate legacy systems. This lack of a unified view of the customer or business operations creates significant hurdles for any holistic AI initiative. Furthermore, the prevalence of incomplete, inaccurate, and outdated data directly compromises the efficacy of AI models, leading to flawed insights and poor business decisions. The process of data cleansing normalization and integration is a massive and resource-intensive undertaking.The combination of substantial implementation costs and an often ambiguous return on investment (ROI) presents another major challenge. The journey from concept to an enterprise-scale AI solution is a capital-intensive endeavor, which is a significant hurdle in an industry with thin profit margins. The costs encompass cloud computing infrastructure, system integration, and the high expense of acquiring scarce specialized AI talent. These significant, upfront costs are juxtaposed with the difficulty of quantifying the benefits of many applications, such as enhanced customer loyalty from hyper-personalization. In Europe, which constitutes 23.54% of the geographic opportunity, stringent data privacy regulations further add to the complexity and cost of AI projects, making it difficult to secure executive buy-in.
Exclusive Customer Landscape
The ai in retail and consumer products market forecasting report includes the adoption lifecycle of the market, covering from the innovator’s stage to the laggard’s stage. It focuses on adoption rates in different regions based on penetration. Furthermore, the ai in retail and consumer products market report also includes key purchase criteria and drivers of price sensitivity to help companies evaluate and develop their market growth analysis strategies.
Customer Landscape
Key Companies & Market Insights
Companies are implementing various strategies, such as strategic alliances, ai in retail and consumer products market forecast, partnerships, mergers and acquisitions, geographical expansion, and product/service launches, to enhance their presence in the industry.
Accenture PLC - The company provides solutions for AI in retail and consumer products through a platform that integrates supply chain, assortment, and customer data. This unified approach enables the delivery of highly personalized, real-time shopper experiences. By leveraging comprehensive data analytics, the platform helps businesses optimize operations and tailor interactions to individual customer preferences and behaviors. The core focus is on creating a cohesive ecosystem where insights from different business functions are combined to enhance decision-making and drive customer engagement. The service aims to transform traditional retail models by embedding data-driven intelligence into core processes, from inventory management to customer-facing interactions.
The industry research and growth report includes detailed analyses of the competitive landscape of the market and information about key companies, including:
- Accenture PLC
- Amazon.com Inc.
- BigCommerce Holdings Inc.
- C3.ai Inc.
- Capgemini Service SAS
- Cognizant Technology Solutions Corp.
- Google LLC
- Infosys Ltd.
- Intel Corp.
- International Business Machines Corp.
- Microsoft Corp.
- NVIDIA Corp.
- Oracle Corp.
- Salesforce Inc.
- SAP SE
- SAS Institute Inc.
- Shopify Inc.
- Symphony Innovation LLC
Qualitative and quantitative analysis of companies has been conducted to help clients understand the wider business environment as well as the strengths and weaknesses of key industry players. Data is qualitatively analyzed to categorize companies as pure play, category-focused, industry-focused, and diversified; it is quantitatively analyzed to categorize companies as dominant, leading, strong, tentative, and weak.
Recent Development and News in Ai In Retail And Consumer Products Market
In June 2024, Salesforce announced new AI-powered capabilities for its Commerce Cloud platform, including tools to help merchants build and customize AI assistants and create personalized promotional offers at scale.In March 2024, Microsoft Corp. officially introduced Microsoft Copilot for Retail, a role-based generative AI tool designed to integrate into existing systems to assist retail professionals with tasks like creating marketing campaigns and analyzing customer data.In January 2024, NVIDIA Corp. announced several partnerships at the National Retail Federation (NRF) conference to accelerate the adoption of generative AI in retail, focusing on areas like intelligent chatbots, marketing personalization, and loss prevention.In January 2024, Walmart Inc. announced the rollout of a new generative AI-powered search experience for its iOS app, allowing customers to search based on use cases and conversational queries rather than just product keywords.
Research Analyst Overview
The global AI in retail and consumer products market is witnessing a significant transformation as organizations deploy sophisticated technologies to refine customer engagement. The implementation of hyper-personalization engines and AI-driven personalization is central to creating tailored omnichannel experiences. Conversational commerce agents, powered by natural language processing and generative AI models, are becoming standard for customer interactions, while visual search technology enhances product discovery. In physical stores, computer vision systems enable frictionless checkout technology and detailed in-store analytics. Behind the scenes, machine learning algorithms and deep learning models drive predictive analytics, allowing for proactive strategies like customer churn prediction and the application of dynamic pricing algorithms. These integrated systems are redefining the retail landscape, with adoption rates expected to expand by over 35% in the coming years.Concurrently, operational efficiencies are being reshaped through the integration of AI into core business processes. AI-powered demand forecasting and advanced demand forecasting systems are critical for maintaining supply chain resilience within complex omnichannel supply chains. Prescriptive analytics informs assortment optimization and inventory management optimization, supported by automated shelf monitoring through robotic process automation. The deployment of autonomous mobile robots is streamlining real-time logistics and last-mile delivery optimization. To manage these complex systems, organizations are adopting AI-as-a-Service (SAAS) models and low-code development environments, while upholding strict data governance policies and implementing model drift prevention techniques to ensure sustained performance and reliability. This operational shift enhances everything from AI-powered clienteling to assessing customer lifetime value.
Dive into Technavio’s robust research methodology, blending expert interviews, extensive data synthesis, and validated models for unparalleled AI In Retail And Consumer Products Market insights. See full methodology.
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Market Scope
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Report Coverage
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Details
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Page number
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322
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Base year
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2024
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Historic period
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2019 - 2023 |
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Forecast period
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2025-2029
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Growth momentum & CAGR
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Accelerating at a CAGR of 29.6%
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Market growth 2024-2029
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USD 34.9 billion
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Market structure
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Fragmented
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YoY growth 2024-2029(%)
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25.8%
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Key countries
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US, Canada, Mexico, China, India, Japan, South Korea, Australia, Indonesia, Germany, UK, France, Italy, Spain, The Netherlands, Brazil, Argentina, Colombia, UAE, Saudi Arabia, South Africa, Turkey, Israel
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Competitive landscape
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Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks
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What are the Key Data Covered in this AI In Retail And Consumer Products Market Research and Growth Report?
- CAGR of the AI In Retail And Consumer Products industry during the forecast period
- Detailed information on factors that will drive the growth and forecasting between 2024 and 2029
- Precise estimation of the size of the market and its contribution of the industry in focus to the parent market
- Accurate predictions about upcoming growth and trends and changes in consumer behaviour
- Growth of the market across North America, APAC, Europe, South America, Middle East and Africa
- Thorough analysis of the market’s competitive landscape and detailed information about companies
- Comprehensive analysis of factors that will challenge the ai in retail and consumer products market growth of industry companies
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1 Executive Summary
- 1 Executive Summary
- 1.1 Market overview
- Executive Summary - Chart on Market Overview
- Executive Summary - Data Table on Market Overview
- Executive Summary - Chart on Global Market Characteristics
- Executive Summary - Chart on Market by Geography
- Executive Summary - Chart on Market Segmentation by Component
- Executive Summary - Chart on Market Segmentation by Technology
- Executive Summary - Chart on Market Segmentation by Application
- Executive Summary - Chart on Incremental Growth
- Executive Summary - Data Table on Incremental Growth
- Executive Summary - Chart on Company Market Positioning
2 Technavio Analysis
- 2 Technavio Analysis
- 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
- Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
- 2.2 Criticality of inputs and Factors of differentiation
- Chart on Overview on criticality of inputs and factors of differentiation
- 2.3 Factors of disruption
- Chart on Overview on factors of disruption
- 2.4 Impact of drivers and challenges
- Chart on Impact of drivers and challenges in 2024 and 2029
3 Market Landscape
- 3 Market Landscape
- 3.1 Market ecosystem
- Chart on Parent Market
- Data Table on - Parent Market
- 3.2 Market characteristics
- Chart on Market characteristics analysis
- 3.3 Value chain analysis
- Chart on Value chain analysis
4 Market Sizing
- 4 Market Sizing
- 4.1 Market definition
- Data Table on Offerings of companies included in the market definition
- 4.2 Market segment analysis
- 4.3 Market size 2024
- 4.4 Market outlook: Forecast for 2024-2029
- Chart on Global - Market size and forecast 2024-2029 ($ billion)
- Data Table on Global - Market size and forecast 2024-2029 ($ billion)
- Chart on Global Market: Year-over-year growth 2024-2029 (%)
- Data Table on Global Market: Year-over-year growth 2024-2029 (%)
5 Historic Market Size
- 5 Historic Market Size
- 5.1 Global AI In Retail And Consumer Products Market 2019 - 2023
- Historic Market Size - Data Table on Global AI In Retail And Consumer Products Market 2019 - 2023 ($ billion)
- 5.2 Component segment analysis 2019 - 2023
- Historic Market Size - Component Segment 2019 - 2023 ($ billion)
- 5.3 Technology segment analysis 2019 - 2023
- Historic Market Size - Technology Segment 2019 - 2023 ($ billion)
- 5.4 Application segment analysis 2019 - 2023
- Historic Market Size - Application Segment 2019 - 2023 ($ billion)
- 5.5 Geography segment analysis 2019 - 2023
- Historic Market Size - Geography Segment 2019 - 2023 ($ billion)
- 5.6 Country segment analysis 2019 - 2023
- Historic Market Size - Country Segment 2019 - 2023 ($ billion)
6 Five Forces Analysis
- 6 Five Forces Analysis
- 6.1 Five forces summary
- Five forces analysis - Comparison between 2024 and 2029
- 6.2 Bargaining power of buyers
- Bargaining power of buyers - Impact of key factors 2024 and 2029
- 6.3 Bargaining power of suppliers
- Bargaining power of suppliers - Impact of key factors in 2024 and 2029
- 6.4 Threat of new entrants
- Threat of new entrants - Impact of key factors in 2024 and 2029
- 6.5 Threat of substitutes
- Threat of substitutes - Impact of key factors in 2024 and 2029
- 6.6 Threat of rivalry
- Threat of rivalry - Impact of key factors in 2024 and 2029
- 6.7 Market condition
- Chart on Market condition - Five forces 2024 and 2029
7 Market Segmentation by Component
- 7 Market Segmentation by Component
- 7.1 Market segments
- Chart on Component - Market share 2024-2029 (%)
- Data Table on Component - Market share 2024-2029 (%)
- 7.2 Comparison by Component
- Chart on Comparison by Component
- Data Table on Comparison by Component
- 7.3 Software - Market size and forecast 2024-2029
- Chart on Software - Market size and forecast 2024-2029 ($ billion)
- Data Table on Software - Market size and forecast 2024-2029 ($ billion)
- Chart on Software - Year-over-year growth 2024-2029 (%)
- Data Table on Software - Year-over-year growth 2024-2029 (%)
- 7.4 Hardware - Market size and forecast 2024-2029
- Chart on Hardware - Market size and forecast 2024-2029 ($ billion)
- Data Table on Hardware - Market size and forecast 2024-2029 ($ billion)
- Chart on Hardware - Year-over-year growth 2024-2029 (%)
- Data Table on Hardware - Year-over-year growth 2024-2029 (%)
- 7.5 Services - Market size and forecast 2024-2029
- Chart on Services - Market size and forecast 2024-2029 ($ billion)
- Data Table on Services - Market size and forecast 2024-2029 ($ billion)
- Chart on Services - Year-over-year growth 2024-2029 (%)
- Data Table on Services - Year-over-year growth 2024-2029 (%)
- 7.6 Market opportunity by Component
- Market opportunity by Component ($ billion)
- Data Table on Market opportunity by Component ($ billion)
8 Market Segmentation by Technology
- 8 Market Segmentation by Technology
- 8.1 Market segments
- Chart on Technology - Market share 2024-2029 (%)
- Data Table on Technology - Market share 2024-2029 (%)
- 8.2 Comparison by Technology
- Chart on Comparison by Technology
- Data Table on Comparison by Technology
- 8.3 ML and DL - Market size and forecast 2024-2029
- Chart on ML and DL - Market size and forecast 2024-2029 ($ billion)
- Data Table on ML and DL - Market size and forecast 2024-2029 ($ billion)
- Chart on ML and DL - Year-over-year growth 2024-2029 (%)
- Data Table on ML and DL - Year-over-year growth 2024-2029 (%)
- 8.4 Predictive and prescriptive analytics - Market size and forecast 2024-2029
- Chart on Predictive and prescriptive analytics - Market size and forecast 2024-2029 ($ billion)
- Data Table on Predictive and prescriptive analytics - Market size and forecast 2024-2029 ($ billion)
- Chart on Predictive and prescriptive analytics - Year-over-year growth 2024-2029 (%)
- Data Table on Predictive and prescriptive analytics - Year-over-year growth 2024-2029 (%)
- 8.5 NLP - Market size and forecast 2024-2029
- Chart on NLP - Market size and forecast 2024-2029 ($ billion)
- Data Table on NLP - Market size and forecast 2024-2029 ($ billion)
- Chart on NLP - Year-over-year growth 2024-2029 (%)
- Data Table on NLP - Year-over-year growth 2024-2029 (%)
- 8.6 Computer vision - Market size and forecast 2024-2029
- Chart on Computer vision - Market size and forecast 2024-2029 ($ billion)
- Data Table on Computer vision - Market size and forecast 2024-2029 ($ billion)
- Chart on Computer vision - Year-over-year growth 2024-2029 (%)
- Data Table on Computer vision - Year-over-year growth 2024-2029 (%)
- 8.7 Generative AI - Market size and forecast 2024-2029
- Chart on Generative AI - Market size and forecast 2024-2029 ($ billion)
- Data Table on Generative AI - Market size and forecast 2024-2029 ($ billion)
- Chart on Generative AI - Year-over-year growth 2024-2029 (%)
- Data Table on Generative AI - Year-over-year growth 2024-2029 (%)
- 8.8 Market opportunity by Technology
- Market opportunity by Technology ($ billion)
- Data Table on Market opportunity by Technology ($ billion)
9 Market Segmentation by Application
- 9 Market Segmentation by Application
- 9.1 Market segments
- Chart on Application - Market share 2024-2029 (%)
- Data Table on Application - Market share 2024-2029 (%)
- 9.2 Comparison by Application
- Chart on Comparison by Application
- Data Table on Comparison by Application
- 9.3 Demand forecasting and inventory management - Market size and forecast 2024-2029
- Chart on Demand forecasting and inventory management - Market size and forecast 2024-2029 ($ billion)
- Data Table on Demand forecasting and inventory management - Market size and forecast 2024-2029 ($ billion)
- Chart on Demand forecasting and inventory management - Year-over-year growth 2024-2029 (%)
- Data Table on Demand forecasting and inventory management - Year-over-year growth 2024-2029 (%)
- 9.4 Customer experience and engagement - Market size and forecast 2024-2029
- Chart on Customer experience and engagement - Market size and forecast 2024-2029 ($ billion)
- Data Table on Customer experience and engagement - Market size and forecast 2024-2029 ($ billion)
- Chart on Customer experience and engagement - Year-over-year growth 2024-2029 (%)
- Data Table on Customer experience and engagement - Year-over-year growth 2024-2029 (%)
- 9.5 Pricing and promotion optimization - Market size and forecast 2024-2029
- Chart on Pricing and promotion optimization - Market size and forecast 2024-2029 ($ billion)
- Data Table on Pricing and promotion optimization - Market size and forecast 2024-2029 ($ billion)
- Chart on Pricing and promotion optimization - Year-over-year growth 2024-2029 (%)
- Data Table on Pricing and promotion optimization - Year-over-year growth 2024-2029 (%)
- 9.6 Others - Market size and forecast 2024-2029
- Chart on Others - Market size and forecast 2024-2029 ($ billion)
- Data Table on Others - Market size and forecast 2024-2029 ($ billion)
- Chart on Others - Year-over-year growth 2024-2029 (%)
- Data Table on Others - Year-over-year growth 2024-2029 (%)
- 9.7 Market opportunity by Application
- Market opportunity by Application ($ billion)
- Data Table on Market opportunity by Application ($ billion)
10 Customer Landscape
- 10 Customer Landscape
- 10.1 Customer landscape overview
- Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
11 Geographic Landscape
- 11 Geographic Landscape
- 11.1 Geographic segmentation
- Chart on Market share by geography 2024-2029 (%)
- Data Table on Market share by geography 2024-2029 (%)
- 11.2 Geographic comparison
- Chart on Geographic comparison
- Data Table on Geographic comparison
- 11.3 North America - Market size and forecast 2024-2029
- Chart on North America - Market size and forecast 2024-2029 ($ billion)
- Data Table on North America - Market size and forecast 2024-2029 ($ billion)
- Chart on North America - Year-over-year growth 2024-2029 (%)
- Data Table on North America - Year-over-year growth 2024-2029 (%)
- Chart on Regional Comparison - North America
- Data Table on Regional Comparison - North America
- 11.3.1 US - Market size and forecast 2024-2029
- Chart on US - Market size and forecast 2024-2029 ($ billion)
- Data Table on US - Market size and forecast 2024-2029 ($ billion)
- Chart on US - Year-over-year growth 2024-2029 (%)
- Data Table on US - Year-over-year growth 2024-2029 (%)
- 11.3.2 Canada - Market size and forecast 2024-2029
- Chart on Canada - Market size and forecast 2024-2029 ($ billion)
- Data Table on Canada - Market size and forecast 2024-2029 ($ billion)
- Chart on Canada - Year-over-year growth 2024-2029 (%)
- Data Table on Canada - Year-over-year growth 2024-2029 (%)
- 11.3.3 Mexico - Market size and forecast 2024-2029
- Chart on Mexico - Market size and forecast 2024-2029 ($ billion)
- Data Table on Mexico - Market size and forecast 2024-2029 ($ billion)
- Chart on Mexico - Year-over-year growth 2024-2029 (%)
- Data Table on Mexico - Year-over-year growth 2024-2029 (%)
- 11.4 APAC - Market size and forecast 2024-2029
- Chart on APAC - Market size and forecast 2024-2029 ($ billion)
- Data Table on APAC - Market size and forecast 2024-2029 ($ billion)
- Chart on APAC - Year-over-year growth 2024-2029 (%)
- Data Table on APAC - Year-over-year growth 2024-2029 (%)
- Chart on Regional Comparison - APAC
- Data Table on Regional Comparison - APAC
- 11.4.1 China - Market size and forecast 2024-2029
- Chart on China - Market size and forecast 2024-2029 ($ billion)
- Data Table on China - Market size and forecast 2024-2029 ($ billion)
- Chart on China - Year-over-year growth 2024-2029 (%)
- Data Table on China - Year-over-year growth 2024-2029 (%)
- 11.4.2 India - Market size and forecast 2024-2029
- Chart on India - Market size and forecast 2024-2029 ($ billion)
- Data Table on India - Market size and forecast 2024-2029 ($ billion)
- Chart on India - Year-over-year growth 2024-2029 (%)
- Data Table on India - Year-over-year growth 2024-2029 (%)
- 11.4.3 Japan - Market size and forecast 2024-2029
- Chart on Japan - Market size and forecast 2024-2029 ($ billion)
- Data Table on Japan - Market size and forecast 2024-2029 ($ billion)
- Chart on Japan - Year-over-year growth 2024-2029 (%)
- Data Table on Japan - Year-over-year growth 2024-2029 (%)
- 11.4.4 South Korea - Market size and forecast 2024-2029
- Chart on South Korea - Market size and forecast 2024-2029 ($ billion)
- Data Table on South Korea - Market size and forecast 2024-2029 ($ billion)
- Chart on South Korea - Year-over-year growth 2024-2029 (%)
- Data Table on South Korea - Year-over-year growth 2024-2029 (%)
- 11.4.5 Australia - Market size and forecast 2024-2029
- Chart on Australia - Market size and forecast 2024-2029 ($ billion)
- Data Table on Australia - Market size and forecast 2024-2029 ($ billion)
- Chart on Australia - Year-over-year growth 2024-2029 (%)
- Data Table on Australia - Year-over-year growth 2024-2029 (%)
- 11.4.6 Indonesia - Market size and forecast 2024-2029
- Chart on Indonesia - Market size and forecast 2024-2029 ($ billion)
- Data Table on Indonesia - Market size and forecast 2024-2029 ($ billion)
- Chart on Indonesia - Year-over-year growth 2024-2029 (%)
- Data Table on Indonesia - Year-over-year growth 2024-2029 (%)
- 11.5 Europe - Market size and forecast 2024-2029
- Chart on Europe - Market size and forecast 2024-2029 ($ billion)
- Data Table on Europe - Market size and forecast 2024-2029 ($ billion)
- Chart on Europe - Year-over-year growth 2024-2029 (%)
- Data Table on Europe - Year-over-year growth 2024-2029 (%)
- Chart on Regional Comparison - Europe
- Data Table on Regional Comparison - Europe
- 11.5.1 Germany - Market size and forecast 2024-2029
- Chart on Germany - Market size and forecast 2024-2029 ($ billion)
- Data Table on Germany - Market size and forecast 2024-2029 ($ billion)
- Chart on Germany - Year-over-year growth 2024-2029 (%)
- Data Table on Germany - Year-over-year growth 2024-2029 (%)
- 11.5.2 UK - Market size and forecast 2024-2029
- Chart on UK - Market size and forecast 2024-2029 ($ billion)
- Data Table on UK - Market size and forecast 2024-2029 ($ billion)
- Chart on UK - Year-over-year growth 2024-2029 (%)
- Data Table on UK - Year-over-year growth 2024-2029 (%)
- 11.5.3 France - Market size and forecast 2024-2029
- Chart on France - Market size and forecast 2024-2029 ($ billion)
- Data Table on France - Market size and forecast 2024-2029 ($ billion)
- Chart on France - Year-over-year growth 2024-2029 (%)
- Data Table on France - Year-over-year growth 2024-2029 (%)
- 11.5.4 Italy - Market size and forecast 2024-2029
- Chart on Italy - Market size and forecast 2024-2029 ($ billion)
- Data Table on Italy - Market size and forecast 2024-2029 ($ billion)
- Chart on Italy - Year-over-year growth 2024-2029 (%)
- Data Table on Italy - Year-over-year growth 2024-2029 (%)
- 11.5.5 Spain - Market size and forecast 2024-2029
- Chart on Spain - Market size and forecast 2024-2029 ($ billion)
- Data Table on Spain - Market size and forecast 2024-2029 ($ billion)
- Chart on Spain - Year-over-year growth 2024-2029 (%)
- Data Table on Spain - Year-over-year growth 2024-2029 (%)
- 11.5.6 The Netherlands - Market size and forecast 2024-2029
- Chart on The Netherlands - Market size and forecast 2024-2029 ($ billion)
- Data Table on The Netherlands - Market size and forecast 2024-2029 ($ billion)
- Chart on The Netherlands - Year-over-year growth 2024-2029 (%)
- Data Table on The Netherlands - Year-over-year growth 2024-2029 (%)
- 11.6 South America - Market size and forecast 2024-2029
- Chart on South America - Market size and forecast 2024-2029 ($ billion)
- Data Table on South America - Market size and forecast 2024-2029 ($ billion)
- Chart on South America - Year-over-year growth 2024-2029 (%)
- Data Table on South America - Year-over-year growth 2024-2029 (%)
- Chart on Regional Comparison - South America
- Data Table on Regional Comparison - South America
- 11.6.1 Brazil - Market size and forecast 2024-2029
- Chart on Brazil - Market size and forecast 2024-2029 ($ billion)
- Data Table on Brazil - Market size and forecast 2024-2029 ($ billion)
- Chart on Brazil - Year-over-year growth 2024-2029 (%)
- Data Table on Brazil - Year-over-year growth 2024-2029 (%)
- 11.6.2 Argentina - Market size and forecast 2024-2029
- Chart on Argentina - Market size and forecast 2024-2029 ($ billion)
- Data Table on Argentina - Market size and forecast 2024-2029 ($ billion)
- Chart on Argentina - Year-over-year growth 2024-2029 (%)
- Data Table on Argentina - Year-over-year growth 2024-2029 (%)
- 11.6.3 Colombia - Market size and forecast 2024-2029
- Chart on Colombia - Market size and forecast 2024-2029 ($ billion)
- Data Table on Colombia - Market size and forecast 2024-2029 ($ billion)
- Chart on Colombia - Year-over-year growth 2024-2029 (%)
- Data Table on Colombia - Year-over-year growth 2024-2029 (%)
- 11.7 Middle East and Africa - Market size and forecast 2024-2029
- Chart on Middle East and Africa - Market size and forecast 2024-2029 ($ billion)
- Data Table on Middle East and Africa - Market size and forecast 2024-2029 ($ billion)
- Chart on Middle East and Africa - Year-over-year growth 2024-2029 (%)
- Data Table on Middle East and Africa - Year-over-year growth 2024-2029 (%)
- Chart on Regional Comparison - Middle East and Africa
- Data Table on Regional Comparison - Middle East and Africa
- 11.7.1 UAE - Market size and forecast 2024-2029
- Chart on UAE - Market size and forecast 2024-2029 ($ billion)
- Data Table on UAE - Market size and forecast 2024-2029 ($ billion)
- Chart on UAE - Year-over-year growth 2024-2029 (%)
- Data Table on UAE - Year-over-year growth 2024-2029 (%)
- 11.7.2 Saudi Arabia - Market size and forecast 2024-2029
- Chart on Saudi Arabia - Market size and forecast 2024-2029 ($ billion)
- Data Table on Saudi Arabia - Market size and forecast 2024-2029 ($ billion)
- Chart on Saudi Arabia - Year-over-year growth 2024-2029 (%)
- Data Table on Saudi Arabia - Year-over-year growth 2024-2029 (%)
- 11.7.3 South Africa - Market size and forecast 2024-2029
- Chart on South Africa - Market size and forecast 2024-2029 ($ billion)
- Data Table on South Africa - Market size and forecast 2024-2029 ($ billion)
- Chart on South Africa - Year-over-year growth 2024-2029 (%)
- Data Table on South Africa - Year-over-year growth 2024-2029 (%)
- 11.7.4 Turkey - Market size and forecast 2024-2029
- Chart on Turkey - Market size and forecast 2024-2029 ($ billion)
- Data Table on Turkey - Market size and forecast 2024-2029 ($ billion)
- Chart on Turkey - Year-over-year growth 2024-2029 (%)
- Data Table on Turkey - Year-over-year growth 2024-2029 (%)
- 11.7.5 Israel - Market size and forecast 2024-2029
- Chart on Israel - Market size and forecast 2024-2029 ($ billion)
- Data Table on Israel - Market size and forecast 2024-2029 ($ billion)
- Chart on Israel - Year-over-year growth 2024-2029 (%)
- Data Table on Israel - Year-over-year growth 2024-2029 (%)
- 11.8 Market opportunity by geography
- Market opportunity by geography ($ billion)
- Data Tables on Market opportunity by geography ($ billion)
12 Drivers, Challenges, and Opportunity
- 12 Drivers, Challenges, and Opportunity
- 12.1 Market drivers
- Imperative for hyper-personalization and enhanced customer experience
- Urgent need for operational efficiency and supply chain optimization
- Proliferation of data and democratization of AI tools
- 12.2 Market challenges
- Data complexity, quality, and governance issues
- Substantial implementation costs and ambiguous return on investment
- Scarcity of specialized talent and burden of organizational change
- 12.3 Impact of drivers and challenges
- Impact of drivers and challenges in 2024 and 2029
- 12.4 Market opportunities
- Proliferation of generative AI in conversational commerce and content creation
- Convergence of AI and computer vision to create intelligent physical environments
- Rise of AI in product innovation and assortment optimization
13 Competitive Landscape
- 13 Competitive Landscape
- 13.1 Overview
- 13.2 Competitive Landscape
- Overview on criticality of inputs and factors of differentiation
- 13.3 Landscape disruption
- Overview on factors of disruption
- 13.4 Industry risks
- Impact of key risks on business
14 Competitive Analysis
- 14 Competitive Analysis
- 14.1 Companies profiled
- 14.2 Company ranking index
- 14.3 Market positioning of companies
- Matrix on companies position and classification
- 14.4 Accenture PLC
- Accenture PLC - Overview
- Accenture PLC - Business segments
- Accenture PLC - Key news
- Accenture PLC - Key offerings
- Accenture PLC - Segment focus
- SWOT
- 14.5 Amazon.com Inc.
- Amazon.com Inc. - Overview
- Amazon.com Inc. - Business segments
- Amazon.com Inc. - Key news
- Amazon.com Inc. - Key offerings
- Amazon.com Inc. - Segment focus
- SWOT
- 14.6 Capgemini Service SAS
- Capgemini Service SAS - Overview
- Capgemini Service SAS - Business segments
- Capgemini Service SAS - Key news
- Capgemini Service SAS - Key offerings
- Capgemini Service SAS - Segment focus
- SWOT
- 14.7 Cognizant Technology Solutions Corp.
- Cognizant Technology Solutions Corp. - Overview
- Cognizant Technology Solutions Corp. - Business segments
- Cognizant Technology Solutions Corp. - Key news
- Cognizant Technology Solutions Corp. - Key offerings
- Cognizant Technology Solutions Corp. - Segment focus
- SWOT
- 14.8 Google LLC
- Google LLC - Overview
- Google LLC - Product / Service
- Google LLC - Key offerings
- SWOT
- 14.9 Infosys Ltd.
- Infosys Ltd. - Overview
- Infosys Ltd. - Business segments
- Infosys Ltd. - Key news
- Infosys Ltd. - Key offerings
- Infosys Ltd. - Segment focus
- SWOT
- 14.10 Intel Corp.
- Intel Corp. - Overview
- Intel Corp. - Business segments
- Intel Corp. - Key news
- Intel Corp. - Key offerings
- Intel Corp. - Segment focus
- SWOT
- 14.11 International Business Machines Corp.
- International Business Machines Corp. - Overview
- International Business Machines Corp. - Business segments
- International Business Machines Corp. - Key news
- International Business Machines Corp. - Key offerings
- International Business Machines Corp. - Segment focus
- SWOT
- 14.12 Microsoft Corp.
- Microsoft Corp. - Overview
- Microsoft Corp. - Business segments
- Microsoft Corp. - Key news
- Microsoft Corp. - Key offerings
- Microsoft Corp. - Segment focus
- SWOT
- 14.13 NVIDIA Corp.
- NVIDIA Corp. - Overview
- NVIDIA Corp. - Business segments
- NVIDIA Corp. - Key news
- NVIDIA Corp. - Key offerings
- NVIDIA Corp. - Segment focus
- SWOT
- 14.14 Oracle Corp.
- Oracle Corp. - Overview
- Oracle Corp. - Business segments
- Oracle Corp. - Key news
- Oracle Corp. - Key offerings
- Oracle Corp. - Segment focus
- SWOT
- 14.15 Salesforce Inc.
- Salesforce Inc. - Overview
- Salesforce Inc. - Product / Service
- Salesforce Inc. - Key news
- Salesforce Inc. - Key offerings
- SWOT
- 14.16 SAP SE
- SAP SE - Overview
- SAP SE - Business segments
- SAP SE - Key news
- SAP SE - Key offerings
- SAP SE - Segment focus
- SWOT
- 14.17 SAS Institute Inc.
- SAS Institute Inc. - Overview
- SAS Institute Inc. - Product / Service
- SAS Institute Inc. - Key news
- SAS Institute Inc. - Key offerings
- SWOT
- 14.18 Shopify Inc.
- Shopify Inc. - Overview
- Shopify Inc. - Product / Service
- Shopify Inc. - Key offerings
- SWOT
15 Appendix
- 15 Appendix
- 15.1 Scope of the report
- Market definition
- Objectives
- Notes and caveats
- 15.2 Inclusions and exclusions checklist
- Inclusions checklist
- Exclusions checklist
- 15.3 Currency conversion rates for US$
- Currency conversion rates for US$
- 15.4 Research methodology
- 15.5 Data procurement
- 15.6 Data validation
- 15.7 Validation techniques employed for market sizing
- Validation techniques employed for market sizing
- 15.8 Data synthesis
- 15.9 360 degree market analysis
- 360 degree market analysis
- 15.10 List of abbreviations
Research Framework
Technavio presents a detailed picture of the market by way of study, synthesis, and summation of data from multiple sources. The analysts have presented the various facets of the market with a particular focus on identifying the key industry influencers. The data thus presented is comprehensive, reliable, and the result of extensive research, both primary and secondary.
INFORMATION SOURCES
Primary sources
- Manufacturers and suppliers
- Channel partners
- Industry experts
- Strategic decision makers
Secondary sources
- Industry journals and periodicals
- Government data
- Financial reports of key industry players
- Historical data
- Press releases
DATA ANALYSIS
Data Synthesis
- Collation of data
- Estimation of key figures
- Analysis of derived insights
Data Validation
- Triangulation with data models
- Reference against proprietary databases
- Corroboration with industry experts
REPORT WRITING
Qualitative
- Market drivers
- Market challenges
- Market trends
- Five forces analysis
Quantitative
- Market size and forecast
- Market segmentation
- Geographical insights
- Competitive landscape
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