
Highlights
The global Conversational AI for Retail and E-commerce market was valued at US$ million in 2022 and is anticipated to reach US$ million by 2029, witnessing a CAGR of % during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
North American market for Conversational AI for Retail and E-commerce is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
Asia-Pacific market for Conversational AI for Retail and E-commerce is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The global market for Conversational AI for Retail and E-commerce in Large Enterprises is estimated to increase from $ million in 2023 to $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The key global companies of Conversational AI for Retail and E-commerce include Google, Microsoft, IBM, AWS, Baidu, Oracle, SAP, Nuance and Artificial Solutions, etc. In 2022, the world's top three vendors accounted for approximately % of the revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Conversational AI for Retail and E-commerce, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Conversational AI for Retail and E-commerce.
The Conversational AI for Retail and E-commerce market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global Conversational AI for Retail and E-commerce market comprehensively. Regional market sizes, concerning products by type, by application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Conversational AI for Retail and E-commerce companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by type, by application, and by regions.
By Company
Google
Microsoft
IBM
AWS
Baidu
Oracle
SAP
Nuance
Artificial Solutions
Conversica
Haptik
Segment by Type
IVA
Chatbots
Segment by Application
Large Enterprises
SME
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Core Chapters
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Conversational AI for Retail and E-commerce companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the key companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Conversational AI for Retail and E-commerce Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 IVA
1.2.3 Chatbots
1.3 Market by Application
1.3.1 Global Conversational AI for Retail and E-commerce Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Large Enterprises
1.3.3 SME
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Conversational AI for Retail and E-commerce Market Perspective (2018-2029)
2.2 Conversational AI for Retail and E-commerce Growth Trends by Region
2.2.1 Global Conversational AI for Retail and E-commerce Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 Conversational AI for Retail and E-commerce Historic Market Size by Region (2018-2023)
2.2.3 Conversational AI for Retail and E-commerce Forecasted Market Size by Region (2024-2029)
2.3 Conversational AI for Retail and E-commerce Market Dynamics
2.3.1 Conversational AI for Retail and E-commerce Industry Trends
2.3.2 Conversational AI for Retail and E-commerce Market Drivers
2.3.3 Conversational AI for Retail and E-commerce Market Challenges
2.3.4 Conversational AI for Retail and E-commerce Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Conversational AI for Retail and E-commerce Players by Revenue
3.1.1 Global Top Conversational AI for Retail and E-commerce Players by Revenue (2018-2023)
3.1.2 Global Conversational AI for Retail and E-commerce Revenue Market Share by Players (2018-2023)
3.2 Global Conversational AI for Retail and E-commerce Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Conversational AI for Retail and E-commerce Revenue
3.4 Global Conversational AI for Retail and E-commerce Market Concentration Ratio
3.4.1 Global Conversational AI for Retail and E-commerce Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Conversational AI for Retail and E-commerce Revenue in 2022
3.5 Conversational AI for Retail and E-commerce Key Players Head office and Area Served
3.6 Key Players Conversational AI for Retail and E-commerce Product Solution and Service
3.7 Date of Enter into Conversational AI for Retail and E-commerce Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Conversational AI for Retail and E-commerce Breakdown Data by Type
4.1 Global Conversational AI for Retail and E-commerce Historic Market Size by Type (2018-2023)
4.2 Global Conversational AI for Retail and E-commerce Forecasted Market Size by Type (2024-2029)
5 Conversational AI for Retail and E-commerce Breakdown Data by Application
5.1 Global Conversational AI for Retail and E-commerce Historic Market Size by Application (2018-2023)
5.2 Global Conversational AI for Retail and E-commerce Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America Conversational AI for Retail and E-commerce Market Size (2018-2029)
6.2 North America Conversational AI for Retail and E-commerce Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Conversational AI for Retail and E-commerce Market Size by Country (2018-2023)
6.4 North America Conversational AI for Retail and E-commerce Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Conversational AI for Retail and E-commerce Market Size (2018-2029)
7.2 Europe Conversational AI for Retail and E-commerce Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Conversational AI for Retail and E-commerce Market Size by Country (2018-2023)
7.4 Europe Conversational AI for Retail and E-commerce Market Size by Country (2024-2029)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Conversational AI for Retail and E-commerce Market Size (2018-2029)
8.2 Asia-Pacific Conversational AI for Retail and E-commerce Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Conversational AI for Retail and E-commerce Market Size by Region (2018-2023)
8.4 Asia-Pacific Conversational AI for Retail and E-commerce Market Size by Region (2024-2029)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Conversational AI for Retail and E-commerce Market Size (2018-2029)
9.2 Latin America Conversational AI for Retail and E-commerce Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Conversational AI for Retail and E-commerce Market Size by Country (2018-2023)
9.4 Latin America Conversational AI for Retail and E-commerce Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Conversational AI for Retail and E-commerce Market Size (2018-2029)
10.2 Middle East & Africa Conversational AI for Retail and E-commerce Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Conversational AI for Retail and E-commerce Market Size by Country (2018-2023)
10.4 Middle East & Africa Conversational AI for Retail and E-commerce Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Google
11.1.1 Google Company Detail
11.1.2 Google Business Overview
11.1.3 Google Conversational AI for Retail and E-commerce Introduction
11.1.4 Google Revenue in Conversational AI for Retail and E-commerce Business (2018-2023)
11.1.5 Google Recent Development
11.2 Microsoft
11.2.1 Microsoft Company Detail
11.2.2 Microsoft Business Overview
11.2.3 Microsoft Conversational AI for Retail and E-commerce Introduction
11.2.4 Microsoft Revenue in Conversational AI for Retail and E-commerce Business (2018-2023)
11.2.5 Microsoft Recent Development
11.3 IBM
11.3.1 IBM Company Detail
11.3.2 IBM Business Overview
11.3.3 IBM Conversational AI for Retail and E-commerce Introduction
11.3.4 IBM Revenue in Conversational AI for Retail and E-commerce Business (2018-2023)
11.3.5 IBM Recent Development
11.4 AWS
11.4.1 AWS Company Detail
11.4.2 AWS Business Overview
11.4.3 AWS Conversational AI for Retail and E-commerce Introduction
11.4.4 AWS Revenue in Conversational AI for Retail and E-commerce Business (2018-2023)
11.4.5 AWS Recent Development
11.5 Baidu
11.5.1 Baidu Company Detail
11.5.2 Baidu Business Overview
11.5.3 Baidu Conversational AI for Retail and E-commerce Introduction
11.5.4 Baidu Revenue in Conversational AI for Retail and E-commerce Business (2018-2023)
11.5.5 Baidu Recent Development
11.6 Oracle
11.6.1 Oracle Company Detail
11.6.2 Oracle Business Overview
11.6.3 Oracle Conversational AI for Retail and E-commerce Introduction
11.6.4 Oracle Revenue in Conversational AI for Retail and E-commerce Business (2018-2023)
11.6.5 Oracle Recent Development
11.7 SAP
11.7.1 SAP Company Detail
11.7.2 SAP Business Overview
11.7.3 SAP Conversational AI for Retail and E-commerce Introduction
11.7.4 SAP Revenue in Conversational AI for Retail and E-commerce Business (2018-2023)
11.7.5 SAP Recent Development
11.8 Nuance
11.8.1 Nuance Company Detail
11.8.2 Nuance Business Overview
11.8.3 Nuance Conversational AI for Retail and E-commerce Introduction
11.8.4 Nuance Revenue in Conversational AI for Retail and E-commerce Business (2018-2023)
11.8.5 Nuance Recent Development
11.9 Artificial Solutions
11.9.1 Artificial Solutions Company Detail
11.9.2 Artificial Solutions Business Overview
11.9.3 Artificial Solutions Conversational AI for Retail and E-commerce Introduction
11.9.4 Artificial Solutions Revenue in Conversational AI for Retail and E-commerce Business (2018-2023)
11.9.5 Artificial Solutions Recent Development
11.10 Conversica
11.10.1 Conversica Company Detail
11.10.2 Conversica Business Overview
11.10.3 Conversica Conversational AI for Retail and E-commerce Introduction
11.10.4 Conversica Revenue in Conversational AI for Retail and E-commerce Business (2018-2023)
11.10.5 Conversica Recent Development
11.11 Haptik
11.11.1 Haptik Company Detail
11.11.2 Haptik Business Overview
11.11.3 Haptik Conversational AI for Retail and E-commerce Introduction
11.11.4 Haptik Revenue in Conversational AI for Retail and E-commerce Business (2018-2023)
11.11.5 Haptik Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Google
Microsoft
IBM
AWS
Baidu
Oracle
SAP
Nuance
Artificial Solutions
Conversica
Haptik
Ìý
Ìý
*If Applicable.
