Global Conversational AI in Retail 麻豆原创 Research Report 2025

Publication ID:

PB501255478

Publication Date:

January 15, 2025

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

The global market for Conversational AI in Retail was valued at US$ million in the year 2024 and is projected to reach a revised size of US$ million by 2031, growing at a CAGR of %during the forecast period.
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$432.8 billion in 2022, a year-on-year increase of 19.72%, including software, hardware and services.
This report aims to provide a comprehensive presentation of the global market for Conversational AI in Retail, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Conversational AI in Retail.
The Conversational AI in Retail market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. This report segments the global Conversational AI in Retail 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 in Retail 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.
麻豆原创 Segmentation
By Company
Ada
Avaamo
Boost.ai
Certainly
Cognigy
Conversica
DRUID AI
Genesys
IBM
Just AI
Kasisto
Kata.ai
Kore.ai
LivePerson
Microsoft
Segment by Type
App Type
Web Type
Segment by Application
E-commerce
Supermarket
Other
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by 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 in Retail company 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 main companies in the market in detail, including product sales, revenue, price, 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.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 麻豆原创 Analysis by Type
1.2.1 Global Conversational AI in Retail 麻豆原创 Size Growth Rate by Type: 2020 VS 2024 VS 2031
1.2.2 App Type
1.2.3 Web Type
1.3 麻豆原创 by Application
1.3.1 Global Conversational AI in Retail 麻豆原创 Growth by Application: 2020 VS 2024 VS 2031
1.3.2 E-commerce
1.3.3 Supermarket
1.3.4 Other
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Conversational AI in Retail 麻豆原创 Perspective (2020-2031)
2.2 Global Conversational AI in Retail Growth Trends by Region
2.2.1 Global Conversational AI in Retail 麻豆原创 Size by Region: 2020 VS 2024 VS 2031
2.2.2 Conversational AI in Retail Historic 麻豆原创 Size by Region (2020-2025)
2.2.3 Conversational AI in Retail Forecasted 麻豆原创 Size by Region (2026-2031)
2.3 Conversational AI in Retail 麻豆原创 Dynamics
2.3.1 Conversational AI in Retail Industry Trends
2.3.2 Conversational AI in Retail 麻豆原创 Drivers
2.3.3 Conversational AI in Retail 麻豆原创 Challenges
2.3.4 Conversational AI in Retail 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Top Conversational AI in Retail Players by Revenue
3.1.1 Global Top Conversational AI in Retail Players by Revenue (2020-2025)
3.1.2 Global Conversational AI in Retail Revenue 麻豆原创 Share by Players (2020-2025)
3.2 Global Conversational AI in Retail 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Conversational AI in Retail Revenue
3.4 Global Conversational AI in Retail 麻豆原创 Concentration Ratio
3.4.1 Global Conversational AI in Retail 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Conversational AI in Retail Revenue in 2024
3.5 Global Key Players of Conversational AI in Retail Head office and Area Served
3.6 Global Key Players of Conversational AI in Retail, Product and Application
3.7 Global Key Players of Conversational AI in Retail, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Conversational AI in Retail Breakdown Data by Type
4.1 Global Conversational AI in Retail Historic 麻豆原创 Size by Type (2020-2025)
4.2 Global Conversational AI in Retail Forecasted 麻豆原创 Size by Type (2026-2031)
5 Conversational AI in Retail Breakdown Data by Application
5.1 Global Conversational AI in Retail Historic 麻豆原创 Size by Application (2020-2025)
5.2 Global Conversational AI in Retail Forecasted 麻豆原创 Size by Application (2026-2031)
6 North America
6.1 North America Conversational AI in Retail 麻豆原创 Size (2020-2031)
6.2 North America Conversational AI in Retail 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
6.3 North America Conversational AI in Retail 麻豆原创 Size by Country (2020-2025)
6.4 North America Conversational AI in Retail 麻豆原创 Size by Country (2026-2031)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Conversational AI in Retail 麻豆原创 Size (2020-2031)
7.2 Europe Conversational AI in Retail 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
7.3 Europe Conversational AI in Retail 麻豆原创 Size by Country (2020-2025)
7.4 Europe Conversational AI in Retail 麻豆原创 Size by Country (2026-2031)
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 in Retail 麻豆原创 Size (2020-2031)
8.2 Asia-Pacific Conversational AI in Retail 麻豆原创 Growth Rate by Region: 2020 VS 2024 VS 2031
8.3 Asia-Pacific Conversational AI in Retail 麻豆原创 Size by Region (2020-2025)
8.4 Asia-Pacific Conversational AI in Retail 麻豆原创 Size by Region (2026-2031)
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 in Retail 麻豆原创 Size (2020-2031)
9.2 Latin America Conversational AI in Retail 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
9.3 Latin America Conversational AI in Retail 麻豆原创 Size by Country (2020-2025)
9.4 Latin America Conversational AI in Retail 麻豆原创 Size by Country (2026-2031)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Conversational AI in Retail 麻豆原创 Size (2020-2031)
10.2 Middle East & Africa Conversational AI in Retail 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
10.3 Middle East & Africa Conversational AI in Retail 麻豆原创 Size by Country (2020-2025)
10.4 Middle East & Africa Conversational AI in Retail 麻豆原创 Size by Country (2026-2031)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Ada
11.1.1 Ada Company Details
11.1.2 Ada Business Overview
11.1.3 Ada Conversational AI in Retail Introduction
11.1.4 Ada Revenue in Conversational AI in Retail Business (2020-2025)
11.1.5 Ada Recent Development
11.2 Avaamo
11.2.1 Avaamo Company Details
11.2.2 Avaamo Business Overview
11.2.3 Avaamo Conversational AI in Retail Introduction
11.2.4 Avaamo Revenue in Conversational AI in Retail Business (2020-2025)
11.2.5 Avaamo Recent Development
11.3 Boost.ai
11.3.1 Boost.ai Company Details
11.3.2 Boost.ai Business Overview
11.3.3 Boost.ai Conversational AI in Retail Introduction
11.3.4 Boost.ai Revenue in Conversational AI in Retail Business (2020-2025)
11.3.5 Boost.ai Recent Development
11.4 Certainly
11.4.1 Certainly Company Details
11.4.2 Certainly Business Overview
11.4.3 Certainly Conversational AI in Retail Introduction
11.4.4 Certainly Revenue in Conversational AI in Retail Business (2020-2025)
11.4.5 Certainly Recent Development
11.5 Cognigy
11.5.1 Cognigy Company Details
11.5.2 Cognigy Business Overview
11.5.3 Cognigy Conversational AI in Retail Introduction
11.5.4 Cognigy Revenue in Conversational AI in Retail Business (2020-2025)
11.5.5 Cognigy Recent Development
11.6 Conversica
11.6.1 Conversica Company Details
11.6.2 Conversica Business Overview
11.6.3 Conversica Conversational AI in Retail Introduction
11.6.4 Conversica Revenue in Conversational AI in Retail Business (2020-2025)
11.6.5 Conversica Recent Development
11.7 DRUID AI
11.7.1 DRUID AI Company Details
11.7.2 DRUID AI Business Overview
11.7.3 DRUID AI Conversational AI in Retail Introduction
11.7.4 DRUID AI Revenue in Conversational AI in Retail Business (2020-2025)
11.7.5 DRUID AI Recent Development
11.8 Genesys
11.8.1 Genesys Company Details
11.8.2 Genesys Business Overview
11.8.3 Genesys Conversational AI in Retail Introduction
11.8.4 Genesys Revenue in Conversational AI in Retail Business (2020-2025)
11.8.5 Genesys Recent Development
11.9 IBM
11.9.1 IBM Company Details
11.9.2 IBM Business Overview
11.9.3 IBM Conversational AI in Retail Introduction
11.9.4 IBM Revenue in Conversational AI in Retail Business (2020-2025)
11.9.5 IBM Recent Development
11.10 Just AI
11.10.1 Just AI Company Details
11.10.2 Just AI Business Overview
11.10.3 Just AI Conversational AI in Retail Introduction
11.10.4 Just AI Revenue in Conversational AI in Retail Business (2020-2025)
11.10.5 Just AI Recent Development
11.11 Kasisto
11.11.1 Kasisto Company Details
11.11.2 Kasisto Business Overview
11.11.3 Kasisto Conversational AI in Retail Introduction
11.11.4 Kasisto Revenue in Conversational AI in Retail Business (2020-2025)
11.11.5 Kasisto Recent Development
11.12 Kata.ai
11.12.1 Kata.ai Company Details
11.12.2 Kata.ai Business Overview
11.12.3 Kata.ai Conversational AI in Retail Introduction
11.12.4 Kata.ai Revenue in Conversational AI in Retail Business (2020-2025)
11.12.5 Kata.ai Recent Development
11.13 Kore.ai
11.13.1 Kore.ai Company Details
11.13.2 Kore.ai Business Overview
11.13.3 Kore.ai Conversational AI in Retail Introduction
11.13.4 Kore.ai Revenue in Conversational AI in Retail Business (2020-2025)
11.13.5 Kore.ai Recent Development
11.14 LivePerson
11.14.1 LivePerson Company Details
11.14.2 LivePerson Business Overview
11.14.3 LivePerson Conversational AI in Retail Introduction
11.14.4 LivePerson Revenue in Conversational AI in Retail Business (2020-2025)
11.14.5 LivePerson Recent Development
11.15 Microsoft
11.15.1 Microsoft Company Details
11.15.2 Microsoft Business Overview
11.15.3 Microsoft Conversational AI in Retail Introduction
11.15.4 Microsoft Revenue in Conversational AI in Retail Business (2020-2025)
11.15.5 Microsoft Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 麻豆原创 Size Estimation
13.1.1.3 麻豆原创 Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer

Companies Mentioned:

Ada
Avaamo
Boost.ai
Certainly
Cognigy
Conversica
DRUID AI
Genesys
IBM
Just AI
Kasisto
Kata.ai
Kore.ai
LivePerson
Microsoft

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