Artificial Intelligence (AI) In Retail Sector Market Size 2025-2029
The artificial intelligence (AI) in retail sector market size is forecast to increase by USD 51.9 billion, at a CAGR of 40.3% between 2024 and 2029.
The global artificial intelligence (AI) market in retail sector is shaped by a significant rise in investments and dedicated research into AI startups. This funding empowers the development of advanced systems for ai and machine learning in business, particularly enhancing ai for sales. The increased application of AI in e-commerce is a primary trend, where tools like ai agents in ecommerce are transforming the online shopping experience.- Improving customer recommendations based on past purchases.
- Providing more information to the sales team and automating customer service.
These advancements allow for deeper personalization and operational efficiency, leveraging predictive analytics and machine learning algorithms to refine everything from inventory control to customer interactions, which is central to applied ai in retail and e-commerce.While growth is significant, privacy issues associated with AI deployment present a notable challenge. The use of advanced data mining techniques and customer profiling, integral to generative ai in retail, raises concerns about data exploitation and individual privacy. These systems gather extensive data on buying habits and online behavior, which, while useful for creating personalized experiences, must be managed with transparency and strong governance. This concern impacts the deployment of technologies such as voice and facial recognition, requiring a careful balance between leveraging powerful predictive ai in retail and maintaining consumer trust, a critical factor for the sustainable integration of AI across the retail landscape.
What will be the Size of the Artificial Intelligence (AI) In Retail Sector 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 ai-powered intelligent automation is fundamentally altering retail operations, with robotic process automation (RPA) becoming a key component for enhancing supply chain optimization and enabling more precise automated inventory management. The application of deep-learning neural networks and predictive analytics allows for more accurate demand forecasting, moving beyond static models to embrace real-time problem-solving. This evolution in ai and machine learning in business is critical for improving efficiencies in supply chain planning and logistics, forming the backbone of modern, agile retail frameworks. The continuous refinement of these systems underscores a market-wide shift toward data-driven operational excellence.On the customer-facing front, conversational commerce systems and ai-driven customer services are redefining engagement, central to the growth of generative ai in customer services. Core technologies such as natural language processing (NLP) and computer vision are the engines behind advanced visual search engines and increasingly sophisticated chatbots. This strategic push toward personalization at scale is a defining characteristic of applied ai in retail and e-commerce. However, its implementation must be carefully balanced with ethical considerations surrounding data exploitation and customer profiling to ensure long-term consumer trust and sustainable integration into the digital shopping journey.
How is this Artificial Intelligence (AI) In Retail Sector Industry segmented?
The artificial intelligence (AI) in retail sector 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.
- Application
- Technology
- Machine learning
- Computer vision
- Natural language processing
- Deployment
- Geography
- North America
- APAC
- China
- Japan
- India
- South Korea
- Australia
- Indonesia
- Europe
- UK
- Germany
- France
- Italy
- Spain
- The Netherlands
- Middle East and Africa
- South America
- Rest of World (ROW)
By Application Insights
The sales and marketing segment is estimated to witness significant growth during the forecast period.
The sales and marketing segment leverages artificial intelligence to optimize customer interactions and drive revenue. AI-based chatbots and virtual assistants are increasingly integrated into customer relationship management strategies to provide personalized engagement and predict consumer behavior. Through data analytics, companies can boost business relationships and tailor marketing efforts. This segment accounts for over 50% of the market, reflecting its critical role in enhancing sales functions and understanding customer needs across multiple contexts, which is a core tenet of ai for sales.
Personalization is a key element driving AI adoption in this segment, with retailers implementing solutions for sales support and product promotions. Online chatbots powered by AI and machine learning deliver personalized recommendations, while image recognition helps identify similar products. Voice recognition is used for customer authentication and to streamline interactions. These applications help retailers create a more engaging and efficient shopping experience, ultimately driving sales and improving customer retention through a data-driven approach that is central to ai in e-commerce.
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The Sales and marketing segment was valued at USD 2.7 billion in 2019 and showed a gradual increase during the forecast period.
Regional Analysis
North America is estimated to contribute 35.1% 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 artificial intelligence market in the retail sector in North America is characterized by early technology adoption and significant investment, making it a mature and leading region. This growth is fueled by a strong desire among retailers to offer personalized and enhanced customer experiences. The implementation of machine learning and natural language processing is a prominent factor driving the retail sector. The region's market is also supported by the presence of major technology companies that are pioneering AI development and implementation.
Substantial data center infrastructure in North America caters to the high computing demands of AI, further solidifying its market leadership. The region represents over 42% of the global market share, supported by considerable investments in research and development facilities and AI-focused startups. Companies are actively developing specialized AI chipsets to handle complex workloads, which advances capabilities in areas such as automated inventory management and supply chain optimization. This commitment to innovation ensures the region remains at the forefront of AI deployment in retail.
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 retail sector is undergoing a significant transformation, driven by the strategic implementation of Artificial Intelligence (AI) to enhance efficiency and foresight. Core to this evolution are diverse AI applications in retail supply chain and broader AI in retail supply chain management. Companies are leveraging machine learning for demand forecasting and predictive analytics for sales forecasting to optimize stock levels and anticipate market shifts. In fact, the role of predictive AI in retail sales forecasting is becoming indispensable. On the ground, intelligent automation in retail operations is taking shape through computer vision for inventory management and robotic process automation in warehouses, streamlining once-manual processes. The accessibility of cloud-based AI for small retailers is democratizing these capabilities, while edge computing for in-store analytics provides real-time insights, complementing widespread AI applications in retail logistics.On the customer-facing front, AI is redefining engagement and personalization. Key AI applications in retail customer service now include sophisticated systems using natural language processing for chatbots to offer 24/7 support. Retailers are performing sentiment analysis of customer reviews to gauge public opinion and improve offerings. Advanced techniques like deep learning for customer segmentation enable hyper-targeted campaigns, a trend exemplified by AI-driven personalization in fashion retail. The e-commerce landscape is being reshaped by features like AI-powered visual search in e-commerce and strategies such as AI for dynamic pricing in e-commerce. Furthermore, the creative application of generative AI in retail advertising is producing novel marketing content, while analytical models focused on AI for customer churn prediction help businesses retain their valuable customer base.
What are the key market drivers leading to the rise in the adoption of Artificial Intelligence (AI) In Retail Sector Industry?
- The rise in investments and research and development in AI startups is a key driver for the market.
Enterprises and governments are channeling significant investments into artificial intelligence to gain a competitive edge, fostering growth through collaborative partnerships and dedicated R&D hubs. This financial backing supports AI startups and encourages the development of new technologies. Realizing the benefits of empowering their workforce and creating a better work environment, companies are leveraging AI to rewrite competitive dynamics across many industries. Formal AI frameworks and strategies are being established to drive economic and technological growth, with some markets representing over 35% of the global opportunity. Venture capital funding is a critical component, enabling firms to develop sophisticated machine learning models and AI-driven platforms that deliver real-time insights and automated solutions, thereby advancing ai and machine learning in business.Retailers and consumer product companies are entering a new phase of digital transformation by adopting AI-powered intelligent automation to enhance their core operations. This implementation allows for increased work efficiency through real-time problem-solving and reduced operational costs. The use of AI applications facilitates automated inventory management, which autonomously monitors material quantity, quality, and downtimes. An AI-powered inventory optimization system aids manufacturers in aligning their stock with demand. Among retailers, supply chain planning is the highest expanding segment. North America alone accounts for 35.1% of the market's incremental growth, driven by the adoption of big data-powered solutions that enhance productivity and efficiency across the board.
What are the market trends shaping the Artificial Intelligence (AI) In Retail Sector Industry?
- The increased applications of artificial intelligence in e-commerce is a key upcoming trend in the market.
Advances in artificial intelligence are fundamentally altering the conventional shopping experience, with the integration of AI in e-commerce setting new marketing standards. E-commerce providers are incorporating AI into various applications, including inventory management, sales forecasting, and supply chain management. This has disrupted the industry with smart solutions such as advanced visual search engines, personalized recommendations, and chatbots. Enterprises are using ai and machine learning in business to improve customer recommendations, automate customer service, and ensure a personalized shopping experience. The use of ai in e-commerce is also seen in how AI/ML algorithms handle predictive analysis of vast data volumes to forecast demand and enable dynamic pricing. In some developed regions, the market is expanding at rates over 42%.The foundation of AI, including machine learning and deep-learning neural networks, facilitates the development of cloud-based AI software and services. These technologies, encompassing natural language processing and computer vision, help manage huge data volumes for accurate demand forecasting. However, establishing in-house AI capabilities can be an expensive proposition, which is why cloud-based platforms are crucial for overcoming adoption barriers. These factors have increased the uptake of cloud-based AI products, as integrating enterprise software with AI, often accessed through a public or private cloud, is the easiest path to acquiring AI capabilities. The APAC region, with a projected growth exceeding 44%, benefits significantly from the increased availability of such scalable and cost-effective solutions for generative ai in customer services.
What challenges does the Artificial Intelligence (AI) In Retail Sector Industry face during its growth?
- Privacy issues associated with AI deployment is a major challenge affecting the market growth.
The emergence of advanced AI systems has heightened concerns over individual privacy, which is linked to the ability to control personal data regarding its storage, modification, and exchange. Using advanced data mining techniques, information is gathered on customer buying habits, online behavior, and payment details. The speed, scale, and automation of AI make it highly effective for information gathering but also introduce privacy risks related to data exploitation, identification, tracking, and customer profiling. For instance, the use of collaborative filtering and next-in-sequence models for making predictions on customer behavior relies on vast databases of consumer information. Even in developing markets with expansion rates around 32%, navigating the regulatory landscape and addressing these privacy implications is a critical challenge.A significant number of companies are implementing AI applications to create a positive business impact, yet the lack of in-house capabilities and expertise remains a major hindrance. Analyzing large datasets with machine learning and deep learning applications requires high computing power and the ability to write complex algorithms, demanding a dedicated team of AI experts and specialized infrastructure. The competition to hire top AI talent is intense, making it difficult for many organizations to build the necessary teams. The large-scale deployment of AI/ML algorithms requires substantial investments and the right IT decision-makers. The Middle East and Africa region, despite a growth rate of over 36%, is also contending with this significant skill gap.
Exclusive Customer Landscape
The artificial intelligence (AI) in retail sector 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 artificial intelligence (AI) in retail sector 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, artificial intelligence (AI) in retail sector market forecast, partnerships, mergers and acquisitions, geographical expansion, and product/service launches, to enhance their presence in the industry.
Accenture PLC - The company provides artificial intelligence solutions for the retail sector, designed to optimize customer profitability and revenue. These offerings facilitate dynamic merchandising and assortment planning, enhance supply network operations, and deliver advanced analytics to improve overall business profitability.
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 Web Services Inc.
- BloomReach Inc.
- Capgemini Service SAS
- Daisy Intelligence Corp.
- Evolv Technology Solutions Inc.
- Inbenta Holdings Inc.
- Infosys Ltd.
- Intel Corp.
- International Business Machines Corp.
- Mad Street Den Inc.
- Microsoft Corp.
- NVIDIA Corp.
- Oracle Corp.
- Punchh Inc.
- Salesforce Inc.
- SAP SE
- Symphony Retail Solutions
- Trax Technology Solutions Pte. Ltd.
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 Artificial Intelligence (AI) In Retail Sector Market
In June 2024, SAP SE announced the launch of new generative AI capabilities embedded within its S/4HANA and customer experience suites, designed to help retailers with intelligent merchandise planning and AI-driven marketing campaigns.In March 2024, NVIDIA Corp. unveiled its Blackwell architecture, a next-generation platform designed to power complex AI workloads, enabling retailers to run sophisticated computer vision and analytics models for applications like autonomous checkout and real-time inventory management.In February 2024, Amazon.com Inc. introduced Rufus, a generative AI-powered expert shopping assistant integrated into its mobile app, designed to answer customer questions, provide comparisons, and make recommendations based on conversational context.In January 2024, Walmart Inc. announced the rollout of new generative AI-powered search capabilities for customers and an AI-powered assistant for its corporate associates to streamline tasks and improve decision-making.
Research Analyst Overview
The global artificial intelligence (AI) market in retail sector is evolving through the integration of sophisticated technologies. Core operational shifts are evident as enterprises adopt machine learning algorithms and deep learning neural networks to power ai-powered intelligent automation. This facilitates advanced predictive analytics and refined demand forecasting models for precise supply chain optimization. The implementation of inventory optimization systems, supported by big data analytics, is leading to procurement digitalization and assortment rationalization. Deployment strategies are diversifying beyond on-premises ai deployment to include scalable cloud-based ai platforms and responsive edge computing in retail. This technological shift is underpinned by advancements in ai-specific hardware and specialized ai chipsets, enabling more complex dynamic pricing strategies and real-time problem solving capabilities across the value chain.Concurrently, customer engagement models are being reshaped by ai-driven customer services. The utilization of computer vision technology and natural language processing enhances personalized recommendations and enables advanced visual search. Innovations such as conversational commerce systems featuring ai-based chatbots and voice recognition technology are becoming standard. In physical stores, frictionless checkout systems and shelf-scanning robots improve efficiency, while in-store analytics provides deeper operational insights. The sector anticipates a 35% increase in the application of robotic process automation for tasks like automated inventory management and automated catalog management. Retailers are leveraging customer behavior analysis, sentiment analysis tools, and customer profiling techniques, supported by collaborative filtering models and data mining techniques, alongside generative ai models and automated purchase advisors available through machine learning-as-a-service (MLAAS) and ai-as-a-service (AIAAS).
Dive into Technavio’s robust research methodology, blending expert interviews, extensive data synthesis, and validated models for unparalleled Artificial Intelligence (AI) In Retail Sector 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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309
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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 40.3%
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Market growth 2024-2029
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USD 51.9 billion
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Market structure
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Fragmented
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YoY growth 2024-2029(%)
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34.7%
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Key countries
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US, Canada, Mexico, China, Japan, India, South Korea, Australia, Indonesia, UK, Germany, France, Italy, Spain, The Netherlands, Saudi Arabia, UAE, South Africa, Egypt, Nigeria, Brazil, Argentina, Chile
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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 Artificial Intelligence (AI) In Retail Sector Market Research and Growth Report?
- CAGR of the Artificial Intelligence (AI) In Retail Sector 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, Middle East and Africa, South America
- Thorough analysis of the market’s competitive landscape and detailed information about companies
- Comprehensive analysis of factors that will challenge the artificial intelligence (AI) in retail sector 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 Application
- Executive Summary - Chart on Market Segmentation by Technology
- Executive Summary - Chart on Market Segmentation by Deployment
- 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 Artificial Intelligence (AI) Market In Retail Sector 2019 - 2023
- Historic Market Size - Data Table on Global Artificial Intelligence (AI) Market In Retail Sector 2019 - 2023 ($ billion)
- 5.2 Application segment analysis 2019 - 2023
- Historic Market Size - Application Segment 2019 - 2023 ($ billion)
- 5.3 Technology segment analysis 2019 - 2023
- Historic Market Size - Technology Segment 2019 - 2023 ($ billion)
- 5.4 Deployment segment analysis 2019 - 2023
- Historic Market Size - Deployment 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 Qualitative Analysis
- 6 Qualitative Analysis
- 6.1 The AI impact on Global Artificial Intelligence (AI) Market in Retail Sector
7 Five Forces Analysis
- 7 Five Forces Analysis
- 7.1 Five forces summary
- Five forces analysis - Comparison between 2024 and 2029
- 7.2 Bargaining power of buyers
- Bargaining power of buyers - Impact of key factors 2024 and 2029
- 7.3 Bargaining power of suppliers
- Bargaining power of suppliers - Impact of key factors in 2024 and 2029
- 7.4 Threat of new entrants
- Threat of new entrants - Impact of key factors in 2024 and 2029
- 7.5 Threat of substitutes
- Threat of substitutes - Impact of key factors in 2024 and 2029
- 7.6 Threat of rivalry
- Threat of rivalry - Impact of key factors in 2024 and 2029
- 7.7 Market condition
- Chart on Market condition - Five forces 2024 and 2029
8 Market Segmentation by Application
- 8 Market Segmentation by Application
- 8.1 Market segments
- Chart on Application - Market share 2024-2029 (%)
- Data Table on Application - Market share 2024-2029 (%)
- 8.2 Comparison by Application
- Chart on Comparison by Application
- Data Table on Comparison by Application
- 8.3 Sales and marketing - Market size and forecast 2024-2029
- Chart on Sales and marketing - Market size and forecast 2024-2029 ($ billion)
- Data Table on Sales and marketing - Market size and forecast 2024-2029 ($ billion)
- Chart on Sales and marketing - Year-over-year growth 2024-2029 (%)
- Data Table on Sales and marketing - Year-over-year growth 2024-2029 (%)
- 8.4 In-store - Market size and forecast 2024-2029
- Chart on In-store - Market size and forecast 2024-2029 ($ billion)
- Data Table on In-store - Market size and forecast 2024-2029 ($ billion)
- Chart on In-store - Year-over-year growth 2024-2029 (%)
- Data Table on In-store - Year-over-year growth 2024-2029 (%)
- 8.5 PPP - Market size and forecast 2024-2029
- Chart on PPP - Market size and forecast 2024-2029 ($ billion)
- Data Table on PPP - Market size and forecast 2024-2029 ($ billion)
- Chart on PPP - Year-over-year growth 2024-2029 (%)
- Data Table on PPP - Year-over-year growth 2024-2029 (%)
- 8.6 Logistics management - Market size and forecast 2024-2029
- Chart on Logistics management - Market size and forecast 2024-2029 ($ billion)
- Data Table on Logistics management - Market size and forecast 2024-2029 ($ billion)
- Chart on Logistics management - Year-over-year growth 2024-2029 (%)
- Data Table on Logistics management - Year-over-year growth 2024-2029 (%)
- 8.7 Market opportunity by Application
- Market opportunity by Application ($ billion)
- Data Table on Market opportunity by Application ($ billion)
9 Market Segmentation by Technology
- 9 Market Segmentation by Technology
- 9.1 Market segments
- Chart on Technology - Market share 2024-2029 (%)
- Data Table on Technology - Market share 2024-2029 (%)
- 9.2 Comparison by Technology
- Chart on Comparison by Technology
- Data Table on Comparison by Technology
- 9.3 Machine learning - Market size and forecast 2024-2029
- Chart on Machine learning - Market size and forecast 2024-2029 ($ billion)
- Data Table on Machine learning - Market size and forecast 2024-2029 ($ billion)
- Chart on Machine learning - Year-over-year growth 2024-2029 (%)
- Data Table on Machine learning - Year-over-year growth 2024-2029 (%)
- 9.4 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 (%)
- 9.5 Natural language processing - Market size and forecast 2024-2029
- Chart on Natural language processing - Market size and forecast 2024-2029 ($ billion)
- Data Table on Natural language processing - Market size and forecast 2024-2029 ($ billion)
- Chart on Natural language processing - Year-over-year growth 2024-2029 (%)
- Data Table on Natural language processing - Year-over-year growth 2024-2029 (%)
- 9.6 Market opportunity by Technology
- Market opportunity by Technology ($ billion)
- Data Table on Market opportunity by Technology ($ billion)
10 Market Segmentation by Deployment
- 10 Market Segmentation by Deployment
- 10.1 Market segments
- Chart on Deployment - Market share 2024-2029 (%)
- Data Table on Deployment - Market share 2024-2029 (%)
- 10.2 Comparison by Deployment
- Chart on Comparison by Deployment
- Data Table on Comparison by Deployment
- 10.3 Cloud-based - Market size and forecast 2024-2029
- Chart on Cloud-based - Market size and forecast 2024-2029 ($ billion)
- Data Table on Cloud-based - Market size and forecast 2024-2029 ($ billion)
- Chart on Cloud-based - Year-over-year growth 2024-2029 (%)
- Data Table on Cloud-based - Year-over-year growth 2024-2029 (%)
- 10.4 On-premises - Market size and forecast 2024-2029
- Chart on On-premises - Market size and forecast 2024-2029 ($ billion)
- Data Table on On-premises - Market size and forecast 2024-2029 ($ billion)
- Chart on On-premises - Year-over-year growth 2024-2029 (%)
- Data Table on On-premises - Year-over-year growth 2024-2029 (%)
- 10.5 Market opportunity by Deployment
- Market opportunity by Deployment ($ billion)
- Data Table on Market opportunity by Deployment ($ billion)
11 Customer Landscape
- 11 Customer Landscape
- 11.1 Customer landscape overview
- Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
12 Geographic Landscape
- 12 Geographic Landscape
- 12.1 Geographic segmentation
- Chart on Market share by geography 2024-2029 (%)
- Data Table on Market share by geography 2024-2029 (%)
- 12.2 Geographic comparison
- Chart on Geographic comparison
- Data Table on Geographic comparison
- 12.3 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
- 12.3.1 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 (%)
- 12.3.2 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 (%)
- 12.3.3 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 (%)
- 12.4 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
- 12.4.1 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 (%)
- 12.4.2 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 (%)
- 12.4.3 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 (%)
- 12.4.4 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 (%)
- 12.4.5 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 (%)
- 12.4.6 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 (%)
- 12.5 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
- 12.5.1 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 (%)
- 12.5.2 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 (%)
- 12.5.3 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 (%)
- 12.5.4 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 (%)
- 12.5.5 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 (%)
- 12.5.6 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 (%)
- 12.6 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
- 12.6.1 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 (%)
- 12.6.2 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 (%)
- 12.6.3 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 (%)
- 12.6.4 Egypt - Market size and forecast 2024-2029
- Chart on Egypt - Market size and forecast 2024-2029 ($ billion)
- Data Table on Egypt - Market size and forecast 2024-2029 ($ billion)
- Chart on Egypt - Year-over-year growth 2024-2029 (%)
- Data Table on Egypt - Year-over-year growth 2024-2029 (%)
- 12.6.5 Nigeria - Market size and forecast 2024-2029
- Chart on Nigeria - Market size and forecast 2024-2029 ($ billion)
- Data Table on Nigeria - Market size and forecast 2024-2029 ($ billion)
- Chart on Nigeria - Year-over-year growth 2024-2029 (%)
- Data Table on Nigeria - Year-over-year growth 2024-2029 (%)
- 12.7 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
- 12.7.1 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 (%)
- 12.7.2 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 (%)
- 12.7.3 Chile - Market size and forecast 2024-2029
- Chart on Chile - Market size and forecast 2024-2029 ($ billion)
- Data Table on Chile - Market size and forecast 2024-2029 ($ billion)
- Chart on Chile - Year-over-year growth 2024-2029 (%)
- Data Table on Chile - Year-over-year growth 2024-2029 (%)
- 12.8 Market opportunity by geography
- Market opportunity by geography ($ billion)
- Data Tables on Market opportunity by geography ($ billion)
13 Drivers, Challenges, and Opportunity
- 13 Drivers, Challenges, and Opportunity
- 13.1 Market drivers
- Rise in investments and research and development in AI startups
- Increased efficiency of operations
- Ease in handling customer-front operations
- 13.2 Market challenges
- Privacy issues associated with AI deployment
- Lack of skilled labor
- Data quality and safety
- 13.3 Impact of drivers and challenges
- Impact of drivers and challenges in 2024 and 2029
- 13.4 Market opportunities
- Increased applications in e-commerce
- Increased availability of cloud-based applications
- Bridging offline and online experiences
14 Competitive Landscape
- 14 Competitive Landscape
- 14.1 Overview
- 14.2 Competitive Landscape
- Overview on criticality of inputs and factors of differentiation
- 14.3 Landscape disruption
- Overview on factors of disruption
- 14.4 Industry risks
- Impact of key risks on business
15 Competitive Analysis
- 15 Competitive Analysis
- 15.1 Companies profiled
- 15.2 Company ranking index
- 15.3 Market positioning of companies
- Matrix on companies position and classification
- 15.4 Accenture PLC
- Accenture PLC - Overview
- Accenture PLC - Business segments
- Accenture PLC - Key news
- Accenture PLC - Key offerings
- Accenture PLC - Segment focus
- SWOT
- 15.5 Amazon Web Services Inc.
- Amazon Web Services Inc. - Overview
- Amazon Web Services Inc. - Product / Service
- Amazon Web Services Inc. - Key news
- Amazon Web Services Inc. - Key offerings
- SWOT
- 15.6 BloomReach Inc.
- BloomReach Inc. - Overview
- BloomReach Inc. - Product / Service
- BloomReach Inc. - Key offerings
- SWOT
- 15.7 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
- 15.8 Daisy Intelligence Corp.
- Daisy Intelligence Corp. - Overview
- Daisy Intelligence Corp. - Product / Service
- Daisy Intelligence Corp. - Key offerings
- SWOT
- 15.9 Infosys Ltd.
- Infosys Ltd. - Overview
- Infosys Ltd. - Business segments
- Infosys Ltd. - Key news
- Infosys Ltd. - Key offerings
- Infosys Ltd. - Segment focus
- SWOT
- 15.10 Intel Corp.
- Intel Corp. - Overview
- Intel Corp. - Business segments
- Intel Corp. - Key news
- Intel Corp. - Key offerings
- Intel Corp. - Segment focus
- SWOT
- 15.11 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
- 15.12 Mad Street Den Inc.
- Mad Street Den Inc. - Overview
- Mad Street Den Inc. - Product / Service
- Mad Street Den Inc. - Key offerings
- SWOT
- 15.13 Microsoft Corp.
- Microsoft Corp. - Overview
- Microsoft Corp. - Business segments
- Microsoft Corp. - Key news
- Microsoft Corp. - Key offerings
- Microsoft Corp. - Segment focus
- SWOT
- 15.14 NVIDIA Corp.
- NVIDIA Corp. - Overview
- NVIDIA Corp. - Business segments
- NVIDIA Corp. - Key news
- NVIDIA Corp. - Key offerings
- NVIDIA Corp. - Segment focus
- SWOT
- 15.15 Oracle Corp.
- Oracle Corp. - Overview
- Oracle Corp. - Business segments
- Oracle Corp. - Key news
- Oracle Corp. - Key offerings
- Oracle Corp. - Segment focus
- SWOT
- 15.16 Salesforce Inc.
- Salesforce Inc. - Overview
- Salesforce Inc. - Product / Service
- Salesforce Inc. - Key news
- Salesforce Inc. - Key offerings
- SWOT
- 15.17 SAP SE
- SAP SE - Overview
- SAP SE - Business segments
- SAP SE - Key news
- SAP SE - Key offerings
- SAP SE - Segment focus
- SWOT
- 15.18 Symphony Retail Solutions
- Symphony Retail Solutions - Overview
- Symphony Retail Solutions - Product / Service
- Symphony Retail Solutions - Key offerings
- SWOT
16 Appendix
- 16 Appendix
- 16.1 Scope of the report
- Market definition
- Objectives
- Notes and caveats
- 16.2 Inclusions and exclusions checklist
- Inclusions checklist
- Exclusions checklist
- 16.3 Currency conversion rates for US$
- Currency conversion rates for US$
- 16.4 Research methodology
- 16.5 Data procurement
- 16.6 Data validation
- 16.7 Validation techniques employed for market sizing
- Validation techniques employed for market sizing
- 16.8 Data synthesis
- 16.9 360 degree market analysis
- 360 degree market analysis
- 16.10 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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