The global Conversational AI for Retail and E-commerce market size was valued at USD million in 2023 and is forecast to a readjusted size of USD million by 2030 with a CAGR of % during review period.
Conversational AI offers a user-friendly dialog designer to help develop and implement solutions for automating customer service, customer engagement, and human-computer interactions through natural language understanding and speech generation. This report mainly focuses on conversational AI for retail and E-commerce market.
As an important force driving a new round of scientific and technological revolution, artificial intelligence has been of national strategic importance. Many governments introduces polices and increase capital investment to support AI companies. The Digital Europe plan adopted by the European Union will allocate 鈧�9.2 billion on high-tech investments, such as supercomputing, artificial intelligence, and network security. In order to maintain its leading position, the United States will increase its investment in artificial intelligence research and development in non-defense fields, from US$1.6 billion to US$1.7 billion in 2022. According to the latest data released by IDC, global artificial intelligence revenue was US$432.8 billion in 2022, a year-on-year increase of 19.18%, including software, hardware and services.
The report includes an overview of the development of the Conversational AI for Retail and E-commerce industry chain, the market status of Large Enterprises (IVA, Chatbots), SME (IVA, Chatbots), and key enterprises in developed and developing market, and analysed the cutting-edge technology, patent, hot applications and market trends of Conversational AI for Retail and E-commerce.
Regionally, the report analyzes the Conversational AI for Retail and E-commerce markets in key regions. North America and Europe are experiencing steady growth, driven by government initiatives and increasing consumer awareness. Asia-Pacific, particularly China, leads the global Conversational AI for Retail and E-commerce market, with robust domestic demand, supportive policies, and a strong manufacturing base.
Key Features:
The report presents comprehensive understanding of the Conversational AI for Retail and E-commerce market. It provides a holistic view of the industry, as well as detailed insights into individual components and stakeholders. The report analysis market dynamics, trends, challenges, and opportunities within the Conversational AI for Retail and E-commerce industry.
The report involves analyzing the market at a macro level:
麻豆原创 Sizing and Segmentation: Report collect data on the overall market size, including the revenue generated, and market share of different by Type (e.g., IVA, Chatbots).
Industry Analysis: Report analyse the broader industry trends, such as government policies and regulations, technological advancements, consumer preferences, and market dynamics. This analysis helps in understanding the key drivers and challenges influencing the Conversational AI for Retail and E-commerce market.
Regional Analysis: The report involves examining the Conversational AI for Retail and E-commerce market at a regional or national level. Report analyses regional factors such as government incentives, infrastructure development, economic conditions, and consumer behaviour to identify variations and opportunities within different markets.
麻豆原创 Projections: Report covers the gathered data and analysis to make future projections and forecasts for the Conversational AI for Retail and E-commerce market. This may include estimating market growth rates, predicting market demand, and identifying emerging trends.
The report also involves a more granular approach to Conversational AI for Retail and E-commerce:
Company Analysis: Report covers individual Conversational AI for Retail and E-commerce players, suppliers, and other relevant industry players. This analysis includes studying their financial performance, market positioning, product portfolios, partnerships, and strategies.
Consumer Analysis: Report covers data on consumer behaviour, preferences, and attitudes towards Conversational AI for Retail and E-commerce This may involve surveys, interviews, and analysis of consumer reviews and feedback from different by Application (Large Enterprises, SME).
Technology Analysis: Report covers specific technologies relevant to Conversational AI for Retail and E-commerce. It assesses the current state, advancements, and potential future developments in Conversational AI for Retail and E-commerce areas.
Competitive Landscape: By analyzing individual companies, suppliers, and consumers, the report present insights into the competitive landscape of the Conversational AI for Retail and E-commerce market. This analysis helps understand market share, competitive advantages, and potential areas for differentiation among industry players.
麻豆原创 Validation: The report involves validating findings and projections through primary research, such as surveys, interviews, and focus groups.
麻豆原创 Segmentation
Conversational AI for Retail and E-commerce market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of value.
麻豆原创 segment by Type
IVA
Chatbots
麻豆原创 segment by Application
Large Enterprises
SME
麻豆原创 segment by players, this report covers
Google
Microsoft
IBM
AWS
Baidu
Oracle
SAP
Nuance
Artificial Solutions
Conversica
Haptik
麻豆原创 segment by regions, regional analysis covers
North America (United States, Canada, and Mexico)
Europe (Germany, France, UK, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia and Rest of Asia-Pacific)
South America (Brazil, Argentina and Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe Conversational AI for Retail and E-commerce product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Conversational AI for Retail and E-commerce, with revenue, gross margin and global market share of Conversational AI for Retail and E-commerce from 2019 to 2024.
Chapter 3, the Conversational AI for Retail and E-commerce competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and application, with consumption value and growth rate by Type, application, from 2019 to 2030.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2019 to 2024.and Conversational AI for Retail and E-commerce market forecast, by regions, type and application, with consumption value, from 2025 to 2030.
Chapter 11, market dynamics, drivers, restraints, trends and Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of Conversational AI for Retail and E-commerce.
Chapter 13, to describe Conversational AI for Retail and E-commerce research findings and conclusion.
Please Note - This is an on demand report and will be delivered in 2 business days (48 Hours) post payment.
1 麻豆原创 Overview
1.1 Product Overview and Scope of Conversational AI for Retail and E-commerce
1.2 麻豆原创 Estimation Caveats and Base Year
1.3 Classification of Conversational AI for Retail and E-commerce by Type
1.3.1 Overview: Global Conversational AI for Retail and E-commerce 麻豆原创 Size by Type: 2019 Versus 2023 Versus 2030
1.3.2 Global Conversational AI for Retail and E-commerce Consumption Value 麻豆原创 Share by Type in 2023
1.3.3 IVA
1.3.4 Chatbots
1.4 Global Conversational AI for Retail and E-commerce 麻豆原创 by Application
1.4.1 Overview: Global Conversational AI for Retail and E-commerce 麻豆原创 Size by Application: 2019 Versus 2023 Versus 2030
1.4.2 Large Enterprises
1.4.3 SME
1.5 Global Conversational AI for Retail and E-commerce 麻豆原创 Size & Forecast
1.6 Global Conversational AI for Retail and E-commerce 麻豆原创 Size and Forecast by Region
1.6.1 Global Conversational AI for Retail and E-commerce 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
1.6.2 Global Conversational AI for Retail and E-commerce 麻豆原创 Size by Region, (2019-2030)
1.6.3 North America Conversational AI for Retail and E-commerce 麻豆原创 Size and Prospect (2019-2030)
1.6.4 Europe Conversational AI for Retail and E-commerce 麻豆原创 Size and Prospect (2019-2030)
1.6.5 Asia-Pacific Conversational AI for Retail and E-commerce 麻豆原创 Size and Prospect (2019-2030)
1.6.6 South America Conversational AI for Retail and E-commerce 麻豆原创 Size and Prospect (2019-2030)
1.6.7 Middle East and Africa Conversational AI for Retail and E-commerce 麻豆原创 Size and Prospect (2019-2030)
2 Company Profiles
2.1 Google
2.1.1 Google Details
2.1.2 Google Major Business
2.1.3 Google Conversational AI for Retail and E-commerce Product and Solutions
2.1.4 Google Conversational AI for Retail and E-commerce Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.1.5 Google Recent Developments and Future Plans
2.2 Microsoft
2.2.1 Microsoft Details
2.2.2 Microsoft Major Business
2.2.3 Microsoft Conversational AI for Retail and E-commerce Product and Solutions
2.2.4 Microsoft Conversational AI for Retail and E-commerce Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.2.5 Microsoft Recent Developments and Future Plans
2.3 IBM
2.3.1 IBM Details
2.3.2 IBM Major Business
2.3.3 IBM Conversational AI for Retail and E-commerce Product and Solutions
2.3.4 IBM Conversational AI for Retail and E-commerce Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.3.5 IBM Recent Developments and Future Plans
2.4 AWS
2.4.1 AWS Details
2.4.2 AWS Major Business
2.4.3 AWS Conversational AI for Retail and E-commerce Product and Solutions
2.4.4 AWS Conversational AI for Retail and E-commerce Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.4.5 AWS Recent Developments and Future Plans
2.5 Baidu
2.5.1 Baidu Details
2.5.2 Baidu Major Business
2.5.3 Baidu Conversational AI for Retail and E-commerce Product and Solutions
2.5.4 Baidu Conversational AI for Retail and E-commerce Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.5.5 Baidu Recent Developments and Future Plans
2.6 Oracle
2.6.1 Oracle Details
2.6.2 Oracle Major Business
2.6.3 Oracle Conversational AI for Retail and E-commerce Product and Solutions
2.6.4 Oracle Conversational AI for Retail and E-commerce Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.6.5 Oracle Recent Developments and Future Plans
2.7 SAP
2.7.1 SAP Details
2.7.2 SAP Major Business
2.7.3 SAP Conversational AI for Retail and E-commerce Product and Solutions
2.7.4 SAP Conversational AI for Retail and E-commerce Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.7.5 SAP Recent Developments and Future Plans
2.8 Nuance
2.8.1 Nuance Details
2.8.2 Nuance Major Business
2.8.3 Nuance Conversational AI for Retail and E-commerce Product and Solutions
2.8.4 Nuance Conversational AI for Retail and E-commerce Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.8.5 Nuance Recent Developments and Future Plans
2.9 Artificial Solutions
2.9.1 Artificial Solutions Details
2.9.2 Artificial Solutions Major Business
2.9.3 Artificial Solutions Conversational AI for Retail and E-commerce Product and Solutions
2.9.4 Artificial Solutions Conversational AI for Retail and E-commerce Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.9.5 Artificial Solutions Recent Developments and Future Plans
2.10 Conversica
2.10.1 Conversica Details
2.10.2 Conversica Major Business
2.10.3 Conversica Conversational AI for Retail and E-commerce Product and Solutions
2.10.4 Conversica Conversational AI for Retail and E-commerce Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.10.5 Conversica Recent Developments and Future Plans
2.11 Haptik
2.11.1 Haptik Details
2.11.2 Haptik Major Business
2.11.3 Haptik Conversational AI for Retail and E-commerce Product and Solutions
2.11.4 Haptik Conversational AI for Retail and E-commerce Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.11.5 Haptik Recent Developments and Future Plans
3 麻豆原创 Competition, by Players
3.1 Global Conversational AI for Retail and E-commerce Revenue and Share by Players (2019-2024)
3.2 麻豆原创 Share Analysis (2023)
3.2.1 麻豆原创 Share of Conversational AI for Retail and E-commerce by Company Revenue
3.2.2 Top 3 Conversational AI for Retail and E-commerce Players 麻豆原创 Share in 2023
3.2.3 Top 6 Conversational AI for Retail and E-commerce Players 麻豆原创 Share in 2023
3.3 Conversational AI for Retail and E-commerce 麻豆原创: Overall Company Footprint Analysis
3.3.1 Conversational AI for Retail and E-commerce 麻豆原创: Region Footprint
3.3.2 Conversational AI for Retail and E-commerce 麻豆原创: Company Product Type Footprint
3.3.3 Conversational AI for Retail and E-commerce 麻豆原创: Company Product Application Footprint
3.4 New 麻豆原创 Entrants and Barriers to 麻豆原创 Entry
3.5 Mergers, Acquisition, Agreements, and Collaborations
4 麻豆原创 Size Segment by Type
4.1 Global Conversational AI for Retail and E-commerce Consumption Value and 麻豆原创 Share by Type (2019-2024)
4.2 Global Conversational AI for Retail and E-commerce 麻豆原创 Forecast by Type (2025-2030)
5 麻豆原创 Size Segment by Application
5.1 Global Conversational AI for Retail and E-commerce Consumption Value 麻豆原创 Share by Application (2019-2024)
5.2 Global Conversational AI for Retail and E-commerce 麻豆原创 Forecast by Application (2025-2030)
6 North America
6.1 North America Conversational AI for Retail and E-commerce Consumption Value by Type (2019-2030)
6.2 North America Conversational AI for Retail and E-commerce Consumption Value by Application (2019-2030)
6.3 North America Conversational AI for Retail and E-commerce 麻豆原创 Size by Country
6.3.1 North America Conversational AI for Retail and E-commerce Consumption Value by Country (2019-2030)
6.3.2 United States Conversational AI for Retail and E-commerce 麻豆原创 Size and Forecast (2019-2030)
6.3.3 Canada Conversational AI for Retail and E-commerce 麻豆原创 Size and Forecast (2019-2030)
6.3.4 Mexico Conversational AI for Retail and E-commerce 麻豆原创 Size and Forecast (2019-2030)
7 Europe
7.1 Europe Conversational AI for Retail and E-commerce Consumption Value by Type (2019-2030)
7.2 Europe Conversational AI for Retail and E-commerce Consumption Value by Application (2019-2030)
7.3 Europe Conversational AI for Retail and E-commerce 麻豆原创 Size by Country
7.3.1 Europe Conversational AI for Retail and E-commerce Consumption Value by Country (2019-2030)
7.3.2 Germany Conversational AI for Retail and E-commerce 麻豆原创 Size and Forecast (2019-2030)
7.3.3 France Conversational AI for Retail and E-commerce 麻豆原创 Size and Forecast (2019-2030)
7.3.4 United Kingdom Conversational AI for Retail and E-commerce 麻豆原创 Size and Forecast (2019-2030)
7.3.5 Russia Conversational AI for Retail and E-commerce 麻豆原创 Size and Forecast (2019-2030)
7.3.6 Italy Conversational AI for Retail and E-commerce 麻豆原创 Size and Forecast (2019-2030)
8 Asia-Pacific
8.1 Asia-Pacific Conversational AI for Retail and E-commerce Consumption Value by Type (2019-2030)
8.2 Asia-Pacific Conversational AI for Retail and E-commerce Consumption Value by Application (2019-2030)
8.3 Asia-Pacific Conversational AI for Retail and E-commerce 麻豆原创 Size by Region
8.3.1 Asia-Pacific Conversational AI for Retail and E-commerce Consumption Value by Region (2019-2030)
8.3.2 China Conversational AI for Retail and E-commerce 麻豆原创 Size and Forecast (2019-2030)
8.3.3 Japan Conversational AI for Retail and E-commerce 麻豆原创 Size and Forecast (2019-2030)
8.3.4 South Korea Conversational AI for Retail and E-commerce 麻豆原创 Size and Forecast (2019-2030)
8.3.5 India Conversational AI for Retail and E-commerce 麻豆原创 Size and Forecast (2019-2030)
8.3.6 Southeast Asia Conversational AI for Retail and E-commerce 麻豆原创 Size and Forecast (2019-2030)
8.3.7 Australia Conversational AI for Retail and E-commerce 麻豆原创 Size and Forecast (2019-2030)
9 South America
9.1 South America Conversational AI for Retail and E-commerce Consumption Value by Type (2019-2030)
9.2 South America Conversational AI for Retail and E-commerce Consumption Value by Application (2019-2030)
9.3 South America Conversational AI for Retail and E-commerce 麻豆原创 Size by Country
9.3.1 South America Conversational AI for Retail and E-commerce Consumption Value by Country (2019-2030)
9.3.2 Brazil Conversational AI for Retail and E-commerce 麻豆原创 Size and Forecast (2019-2030)
9.3.3 Argentina Conversational AI for Retail and E-commerce 麻豆原创 Size and Forecast (2019-2030)
10 Middle East & Africa
10.1 Middle East & Africa Conversational AI for Retail and E-commerce Consumption Value by Type (2019-2030)
10.2 Middle East & Africa Conversational AI for Retail and E-commerce Consumption Value by Application (2019-2030)
10.3 Middle East & Africa Conversational AI for Retail and E-commerce 麻豆原创 Size by Country
10.3.1 Middle East & Africa Conversational AI for Retail and E-commerce Consumption Value by Country (2019-2030)
10.3.2 Turkey Conversational AI for Retail and E-commerce 麻豆原创 Size and Forecast (2019-2030)
10.3.3 Saudi Arabia Conversational AI for Retail and E-commerce 麻豆原创 Size and Forecast (2019-2030)
10.3.4 UAE Conversational AI for Retail and E-commerce 麻豆原创 Size and Forecast (2019-2030)
11 麻豆原创 Dynamics
11.1 Conversational AI for Retail and E-commerce 麻豆原创 Drivers
11.2 Conversational AI for Retail and E-commerce 麻豆原创 Restraints
11.3 Conversational AI for Retail and E-commerce Trends Analysis
11.4 Porters Five Forces Analysis
11.4.1 Threat of New Entrants
11.4.2 Bargaining Power of Suppliers
11.4.3 Bargaining Power of Buyers
11.4.4 Threat of Substitutes
11.4.5 Competitive Rivalry
12 Industry Chain Analysis
12.1 Conversational AI for Retail and E-commerce Industry Chain
12.2 Conversational AI for Retail and E-commerce Upstream Analysis
12.3 Conversational AI for Retail and E-commerce Midstream Analysis
12.4 Conversational AI for Retail and E-commerce Downstream Analysis
13 Research Findings and Conclusion
14 Appendix
14.1 Methodology
14.2 Research Process and Data Source
14.3 Disclaimer
Google
Microsoft
IBM
AWS
Baidu
Oracle
SAP
Nuance
Artificial Solutions
Conversica
Haptik
听
听
*If Applicable.