Conversational AI for Retail and E-commerce - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB511248537

Publication Date:

November 18, 2024

Pages:

109

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

IT Services [2]

Computing & Electronics [3]

Description:

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.
The global market for Conversational AI for Retail and E-commerce was estimated to be worth US$ million in 2023 and is forecast to a readjusted size of US$ million by 2030 with a CAGR of % during the forecast period 2024-2030.
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$432.8 billion in 2022, a year-on-year increase of 19.18%, including software, hardware and services.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Conversational AI for Retail and E-commerce, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Conversational AI for Retail and E-commerce by region & country, by Type, and by Application.
The Conversational AI for Retail and E-commerce market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. 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.
Market Segmentation
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
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Conversational AI for Retail and E-commerce manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: 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 4: 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 5: Revenue of Conversational AI for Retail and E-commerce in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Conversational AI for Retail and E-commerce in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

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Table Of Contents:

1 Market Overview
1.1 Conversational AI for Retail and E-commerce Product Introduction
1.2 Global Conversational AI for Retail and E-commerce Market Size Forecast
1.3 Conversational AI for Retail and E-commerce Market Trends & Drivers
1.3.1 Conversational AI for Retail and E-commerce Industry Trends
1.3.2 Conversational AI for Retail and E-commerce Market Drivers & Opportunity
1.3.3 Conversational AI for Retail and E-commerce Market Challenges
1.3.4 Conversational AI for Retail and E-commerce Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Conversational AI for Retail and E-commerce Players Revenue Ranking (2023)
2.2 Global Conversational AI for Retail and E-commerce Revenue by Company (2019-2024)
2.3 Key Companies Conversational AI for Retail and E-commerce Manufacturing Base Distribution and Headquarters
2.4 Key Companies Conversational AI for Retail and E-commerce Product Offered
2.5 Key Companies Time to Begin Mass Production of Conversational AI for Retail and E-commerce
2.6 Conversational AI for Retail and E-commerce Market Competitive Analysis
2.6.1 Conversational AI for Retail and E-commerce Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Conversational AI for Retail and E-commerce Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Conversational AI for Retail and E-commerce as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 IVA
3.1.2 Chatbots
3.2 Global Conversational AI for Retail and E-commerce Sales Value by Type
3.2.1 Global Conversational AI for Retail and E-commerce Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Conversational AI for Retail and E-commerce Sales Value, by Type (2019-2030)
3.2.3 Global Conversational AI for Retail and E-commerce Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Large Enterprises
4.1.2 SME
4.2 Global Conversational AI for Retail and E-commerce Sales Value by Application
4.2.1 Global Conversational AI for Retail and E-commerce Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Conversational AI for Retail and E-commerce Sales Value, by Application (2019-2030)
4.2.3 Global Conversational AI for Retail and E-commerce Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Conversational AI for Retail and E-commerce Sales Value by Region
5.1.1 Global Conversational AI for Retail and E-commerce Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Conversational AI for Retail and E-commerce Sales Value by Region (2019-2024)
5.1.3 Global Conversational AI for Retail and E-commerce Sales Value by Region (2025-2030)
5.1.4 Global Conversational AI for Retail and E-commerce Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Conversational AI for Retail and E-commerce Sales Value, 2019-2030
5.2.2 North America Conversational AI for Retail and E-commerce Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Conversational AI for Retail and E-commerce Sales Value, 2019-2030
5.3.2 Europe Conversational AI for Retail and E-commerce Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Conversational AI for Retail and E-commerce Sales Value, 2019-2030
5.4.2 Asia Pacific Conversational AI for Retail and E-commerce Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Conversational AI for Retail and E-commerce Sales Value, 2019-2030
5.5.2 South America Conversational AI for Retail and E-commerce Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Conversational AI for Retail and E-commerce Sales Value, 2019-2030
5.6.2 Middle East & Africa Conversational AI for Retail and E-commerce Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Conversational AI for Retail and E-commerce Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Conversational AI for Retail and E-commerce Sales Value
6.3 United States
6.3.1 United States Conversational AI for Retail and E-commerce Sales Value, 2019-2030
6.3.2 United States Conversational AI for Retail and E-commerce Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Conversational AI for Retail and E-commerce Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Conversational AI for Retail and E-commerce Sales Value, 2019-2030
6.4.2 Europe Conversational AI for Retail and E-commerce Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Conversational AI for Retail and E-commerce Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Conversational AI for Retail and E-commerce Sales Value, 2019-2030
6.5.2 China Conversational AI for Retail and E-commerce Sales Value by Type (%), 2023 VS 2030
6.5.3 China Conversational AI for Retail and E-commerce Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Conversational AI for Retail and E-commerce Sales Value, 2019-2030
6.6.2 Japan Conversational AI for Retail and E-commerce Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Conversational AI for Retail and E-commerce Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Conversational AI for Retail and E-commerce Sales Value, 2019-2030
6.7.2 South Korea Conversational AI for Retail and E-commerce Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Conversational AI for Retail and E-commerce Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Conversational AI for Retail and E-commerce Sales Value, 2019-2030
6.8.2 Southeast Asia Conversational AI for Retail and E-commerce Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Conversational AI for Retail and E-commerce Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Conversational AI for Retail and E-commerce Sales Value, 2019-2030
6.9.2 India Conversational AI for Retail and E-commerce Sales Value by Type (%), 2023 VS 2030
6.9.3 India Conversational AI for Retail and E-commerce Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Google
7.1.1 Google Profile
7.1.2 Google Main Business
7.1.3 Google Conversational AI for Retail and E-commerce Products, Services and Solutions
7.1.4 Google Conversational AI for Retail and E-commerce Revenue (US$ Million) & (2019-2024)
7.1.5 Google Recent Developments
7.2 Microsoft
7.2.1 Microsoft Profile
7.2.2 Microsoft Main Business
7.2.3 Microsoft Conversational AI for Retail and E-commerce Products, Services and Solutions
7.2.4 Microsoft Conversational AI for Retail and E-commerce Revenue (US$ Million) & (2019-2024)
7.2.5 Microsoft Recent Developments
7.3 IBM
7.3.1 IBM Profile
7.3.2 IBM Main Business
7.3.3 IBM Conversational AI for Retail and E-commerce Products, Services and Solutions
7.3.4 IBM Conversational AI for Retail and E-commerce Revenue (US$ Million) & (2019-2024)
7.3.5 AWS Recent Developments
7.4 AWS
7.4.1 AWS Profile
7.4.2 AWS Main Business
7.4.3 AWS Conversational AI for Retail and E-commerce Products, Services and Solutions
7.4.4 AWS Conversational AI for Retail and E-commerce Revenue (US$ Million) & (2019-2024)
7.4.5 AWS Recent Developments
7.5 Baidu
7.5.1 Baidu Profile
7.5.2 Baidu Main Business
7.5.3 Baidu Conversational AI for Retail and E-commerce Products, Services and Solutions
7.5.4 Baidu Conversational AI for Retail and E-commerce Revenue (US$ Million) & (2019-2024)
7.5.5 Baidu Recent Developments
7.6 Oracle
7.6.1 Oracle Profile
7.6.2 Oracle Main Business
7.6.3 Oracle Conversational AI for Retail and E-commerce Products, Services and Solutions
7.6.4 Oracle Conversational AI for Retail and E-commerce Revenue (US$ Million) & (2019-2024)
7.6.5 Oracle Recent Developments
7.7 SAP
7.7.1 SAP Profile
7.7.2 SAP Main Business
7.7.3 SAP Conversational AI for Retail and E-commerce Products, Services and Solutions
7.7.4 SAP Conversational AI for Retail and E-commerce Revenue (US$ Million) & (2019-2024)
7.7.5 SAP Recent Developments
7.8 Nuance
7.8.1 Nuance Profile
7.8.2 Nuance Main Business
7.8.3 Nuance Conversational AI for Retail and E-commerce Products, Services and Solutions
7.8.4 Nuance Conversational AI for Retail and E-commerce Revenue (US$ Million) & (2019-2024)
7.8.5 Nuance Recent Developments
7.9 Artificial Solutions
7.9.1 Artificial Solutions Profile
7.9.2 Artificial Solutions Main Business
7.9.3 Artificial Solutions Conversational AI for Retail and E-commerce Products, Services and Solutions
7.9.4 Artificial Solutions Conversational AI for Retail and E-commerce Revenue (US$ Million) & (2019-2024)
7.9.5 Artificial Solutions Recent Developments
7.10 Conversica
7.10.1 Conversica Profile
7.10.2 Conversica Main Business
7.10.3 Conversica Conversational AI for Retail and E-commerce Products, Services and Solutions
7.10.4 Conversica Conversational AI for Retail and E-commerce Revenue (US$ Million) & (2019-2024)
7.10.5 Conversica Recent Developments
7.11 Haptik
7.11.1 Haptik Profile
7.11.2 Haptik Main Business
7.11.3 Haptik Conversational AI for Retail and E-commerce Products, Services and Solutions
7.11.4 Haptik Conversational AI for Retail and E-commerce Revenue (US$ Million) & (2019-2024)
7.11.5 Haptik Recent Developments
8 Industry Chain Analysis
8.1 Conversational AI for Retail and E-commerce Industrial Chain
8.2 Conversational AI for Retail and E-commerce Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Conversational AI for Retail and E-commerce Sales Model
8.5.2 Sales Channel
8.5.3 Conversational AI for Retail and E-commerce Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer

Companies Mentioned:

Google
Microsoft
IBM
AWS
Baidu
Oracle
SAP
Nuance
Artificial Solutions
Conversica
Haptik

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