Global AI Search Engines Supply, Demand and Key Producers, 2024-2030

Publication ID:

GIR032400106

Publication Date:

March 1, 2024

Pages:

132

Publisher:

GIR

Countries:

Global [1]

USD 4,480.00

Software [2]

IT Services [3]

Computing & Electronics [4]

Description:

The global AI Search Engines market size is expected to reach $ million by 2030, rising at a market growth of % CAGR during the forecast period (2024-2030).
Increasing Volume of Data: The exponential growth of digital data has made traditional search methods less effective. AI search engines, equipped with machine learning algorithms, can better handle large volumes of unstructured data, making them essential for organizations dealing with vast datasets.
Enhanced User Experience: AI-powered search engines can provide more personalized and relevant search results, improving the overall user experience. By understanding user preferences and behavior, these engines deliver tailored content, thereby increasing user satisfaction.
This report studies the global AI Search Engines demand, key companies, and key regions.
This report is a detailed and comprehensive analysis of the world market for AI Search Engines, and provides market size (US$ million) and Year-over-Year (YoY) growth, considering 2023 as the base year. This report explores demand trends and competition, as well as details the characteristics of AI Search Engines that contribute to its increasing demand across many markets.
Highlights and key features of the study
Global AI Search Engines total market, 2019-2030, (USD Million)
Global AI Search Engines total market by region & country, CAGR, 2019-2030, (USD Million)
U.S. VS China: AI Search Engines total market, key domestic companies and share, (USD Million)
Global AI Search Engines revenue by player and market share 2019-2024, (USD Million)
Global AI Search Engines total market by Type, CAGR, 2019-2030, (USD Million)
Global AI Search Engines total market by Application, CAGR, 2019-2030, (USD Million).
This reports profiles major players in the global AI Search Engines market based on the following parameters 鈥� company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include OpenAI, Algolia AI, Yext, Shopify, NeevaAI, Bing AI, YouChat, Waldo and Andi, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the World AI Search Engines market.
Detailed Segmentation:
Each section contains quantitative market data including market by value (US$ Millions), by player, by regions, by Type, and by Application. Data is given for the years 2019-2030 by year with 2023 as the base year, 2024 as the estimate year, and 2025-2030 as the forecast year.
Global AI Search Engines 麻豆原创, By Region:
United States
China
Europe
Japan
South Korea
ASEAN
India
Rest of World
Global AI Search Engines 麻豆原创, Segmentation by Type
Cloud Based
On-premises
Global AI Search Engines 麻豆原创, Segmentation by Application
Large Enterprises
SMEs
Companies Profiled:
OpenAI
Algolia AI
Yext
Shopify
NeevaAI
Bing AI
YouChat
Waldo
Andi
Google Search
Opera
Naver
Casetext
Aiimi
AlphaSense
ViSenze
Syte
Coveo
Key Questions Answered
1. How big is the global AI Search Engines market?
2. What is the demand of the global AI Search Engines market?
3. What is the year over year growth of the global AI Search Engines market?
4. What is the total value of the global AI Search Engines market?
5. Who are the major players in the global AI Search Engines market?

Please Note - This is an on demand report and will be delivered in 2 business days (48 Hours) post payment.

Table Of Contents:

1 Supply Summary
1.1 AI Search Engines Introduction
1.2 World AI Search Engines 麻豆原创 Size & Forecast (2019 & 2023 & 2030)
1.3 World AI Search Engines Total 麻豆原创 by Region (by Headquarter Location)
1.3.1 World AI Search Engines 麻豆原创 Size by Region (2019-2030), (by Headquarter Location)
1.3.2 United States AI Search Engines 麻豆原创 Size (2019-2030)
1.3.3 China AI Search Engines 麻豆原创 Size (2019-2030)
1.3.4 Europe AI Search Engines 麻豆原创 Size (2019-2030)
1.3.5 Japan AI Search Engines 麻豆原创 Size (2019-2030)
1.3.6 South Korea AI Search Engines 麻豆原创 Size (2019-2030)
1.3.7 ASEAN AI Search Engines 麻豆原创 Size (2019-2030)
1.3.8 India AI Search Engines 麻豆原创 Size (2019-2030)
1.4 麻豆原创 Drivers, Restraints and Trends
1.4.1 AI Search Engines 麻豆原创 Drivers
1.4.2 Factors Affecting Demand
1.4.3 AI Search Engines Major 麻豆原创 Trends
2 Demand Summary
2.1 World AI Search Engines Consumption Value (2019-2030)
2.2 World AI Search Engines Consumption Value by Region
2.2.1 World AI Search Engines Consumption Value by Region (2019-2024)
2.2.2 World AI Search Engines Consumption Value Forecast by Region (2025-2030)
2.3 United States AI Search Engines Consumption Value (2019-2030)
2.4 China AI Search Engines Consumption Value (2019-2030)
2.5 Europe AI Search Engines Consumption Value (2019-2030)
2.6 Japan AI Search Engines Consumption Value (2019-2030)
2.7 South Korea AI Search Engines Consumption Value (2019-2030)
2.8 ASEAN AI Search Engines Consumption Value (2019-2030)
2.9 India AI Search Engines Consumption Value (2019-2030)
3 World AI Search Engines Companies Competitive Analysis
3.1 World AI Search Engines Revenue by Player (2019-2024)
3.2 Industry Rank and Concentration Rate (CR)
3.2.1 Global AI Search Engines Industry Rank of Major Players
3.2.2 Global Concentration Ratios (CR4) for AI Search Engines in 2023
3.2.3 Global Concentration Ratios (CR8) for AI Search Engines in 2023
3.3 AI Search Engines Company Evaluation Quadrant
3.4 AI Search Engines 麻豆原创: Overall Company Footprint Analysis
3.4.1 AI Search Engines 麻豆原创: Region Footprint
3.4.2 AI Search Engines 麻豆原创: Company Product Type Footprint
3.4.3 AI Search Engines 麻豆原创: Company Product Application Footprint
3.5 Competitive Environment
3.5.1 Historical Structure of the Industry
3.5.2 Barriers of 麻豆原创 Entry
3.5.3 Factors of Competition
3.6 Mergers, Acquisitions Activity
4 United States VS China VS Rest of the World (by Headquarter Location)
4.1 United States VS China: AI Search Engines Revenue Comparison (by Headquarter Location)
4.1.1 United States VS China: AI Search Engines 麻豆原创 Size Comparison (2019 & 2023 & 2030) (by Headquarter Location)
4.1.2 United States VS China: AI Search Engines Revenue 麻豆原创 Share Comparison (2019 & 2023 & 2030)
4.2 United States Based Companies VS China Based Companies: AI Search Engines Consumption Value Comparison
4.2.1 United States VS China: AI Search Engines Consumption Value Comparison (2019 & 2023 & 2030)
4.2.2 United States VS China: AI Search Engines Consumption Value 麻豆原创 Share Comparison (2019 & 2023 & 2030)
4.3 United States Based AI Search Engines Companies and 麻豆原创 Share, 2019-2024
4.3.1 United States Based AI Search Engines Companies, Headquarters (States, Country)
4.3.2 United States Based Companies AI Search Engines Revenue, (2019-2024)
4.4 China Based Companies AI Search Engines Revenue and 麻豆原创 Share, 2019-2024
4.4.1 China Based AI Search Engines Companies, Company Headquarters (Province, Country)
4.4.2 China Based Companies AI Search Engines Revenue, (2019-2024)
4.5 Rest of World Based AI Search Engines Companies and 麻豆原创 Share, 2019-2024
4.5.1 Rest of World Based AI Search Engines Companies, Headquarters (States, Country)
4.5.2 Rest of World Based Companies AI Search Engines Revenue, (2019-2024)
5 麻豆原创 Analysis by Type
5.1 World AI Search Engines 麻豆原创 Size Overview by Type: 2019 VS 2023 VS 2030
5.2 Segment Introduction by Type
5.2.1 Cloud Based
5.2.2 On-premises
5.3 麻豆原创 Segment by Type
5.3.1 World AI Search Engines 麻豆原创 Size by Type (2019-2024)
5.3.2 World AI Search Engines 麻豆原创 Size by Type (2025-2030)
5.3.3 World AI Search Engines 麻豆原创 Size 麻豆原创 Share by Type (2019-2030)
6 麻豆原创 Analysis by Application
6.1 World AI Search Engines 麻豆原创 Size Overview by Application: 2019 VS 2023 VS 2030
6.2 Segment Introduction by Application
6.2.1 Large Enterprises
6.2.2 SMEs
6.3 麻豆原创 Segment by Application
6.3.1 World AI Search Engines 麻豆原创 Size by Application (2019-2024)
6.3.2 World AI Search Engines 麻豆原创 Size by Application (2025-2030)
6.3.3 World AI Search Engines 麻豆原创 Size by Application (2019-2030)
7 Company Profiles
7.1 OpenAI
7.1.1 OpenAI Details
7.1.2 OpenAI Major Business
7.1.3 OpenAI AI Search Engines Product and Services
7.1.4 OpenAI AI Search Engines Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
7.1.5 OpenAI Recent Developments/Updates
7.1.6 OpenAI Competitive Strengths & Weaknesses
7.2 Algolia AI
7.2.1 Algolia AI Details
7.2.2 Algolia AI Major Business
7.2.3 Algolia AI AI Search Engines Product and Services
7.2.4 Algolia AI AI Search Engines Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
7.2.5 Algolia AI Recent Developments/Updates
7.2.6 Algolia AI Competitive Strengths & Weaknesses
7.3 Yext
7.3.1 Yext Details
7.3.2 Yext Major Business
7.3.3 Yext AI Search Engines Product and Services
7.3.4 Yext AI Search Engines Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
7.3.5 Yext Recent Developments/Updates
7.3.6 Yext Competitive Strengths & Weaknesses
7.4 Shopify
7.4.1 Shopify Details
7.4.2 Shopify Major Business
7.4.3 Shopify AI Search Engines Product and Services
7.4.4 Shopify AI Search Engines Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
7.4.5 Shopify Recent Developments/Updates
7.4.6 Shopify Competitive Strengths & Weaknesses
7.5 NeevaAI
7.5.1 NeevaAI Details
7.5.2 NeevaAI Major Business
7.5.3 NeevaAI AI Search Engines Product and Services
7.5.4 NeevaAI AI Search Engines Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
7.5.5 NeevaAI Recent Developments/Updates
7.5.6 NeevaAI Competitive Strengths & Weaknesses
7.6 Bing AI
7.6.1 Bing AI Details
7.6.2 Bing AI Major Business
7.6.3 Bing AI AI Search Engines Product and Services
7.6.4 Bing AI AI Search Engines Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
7.6.5 Bing AI Recent Developments/Updates
7.6.6 Bing AI Competitive Strengths & Weaknesses
7.7 YouChat
7.7.1 YouChat Details
7.7.2 YouChat Major Business
7.7.3 YouChat AI Search Engines Product and Services
7.7.4 YouChat AI Search Engines Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
7.7.5 YouChat Recent Developments/Updates
7.7.6 YouChat Competitive Strengths & Weaknesses
7.8 Waldo
7.8.1 Waldo Details
7.8.2 Waldo Major Business
7.8.3 Waldo AI Search Engines Product and Services
7.8.4 Waldo AI Search Engines Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
7.8.5 Waldo Recent Developments/Updates
7.8.6 Waldo Competitive Strengths & Weaknesses
7.9 Andi
7.9.1 Andi Details
7.9.2 Andi Major Business
7.9.3 Andi AI Search Engines Product and Services
7.9.4 Andi AI Search Engines Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
7.9.5 Andi Recent Developments/Updates
7.9.6 Andi Competitive Strengths & Weaknesses
7.10 Google Search
7.10.1 Google Search Details
7.10.2 Google Search Major Business
7.10.3 Google Search AI Search Engines Product and Services
7.10.4 Google Search AI Search Engines Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
7.10.5 Google Search Recent Developments/Updates
7.10.6 Google Search Competitive Strengths & Weaknesses
7.11 Opera
7.11.1 Opera Details
7.11.2 Opera Major Business
7.11.3 Opera AI Search Engines Product and Services
7.11.4 Opera AI Search Engines Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
7.11.5 Opera Recent Developments/Updates
7.11.6 Opera Competitive Strengths & Weaknesses
7.12 Naver
7.12.1 Naver Details
7.12.2 Naver Major Business
7.12.3 Naver AI Search Engines Product and Services
7.12.4 Naver AI Search Engines Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
7.12.5 Naver Recent Developments/Updates
7.12.6 Naver Competitive Strengths & Weaknesses
7.13 Casetext
7.13.1 Casetext Details
7.13.2 Casetext Major Business
7.13.3 Casetext AI Search Engines Product and Services
7.13.4 Casetext AI Search Engines Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
7.13.5 Casetext Recent Developments/Updates
7.13.6 Casetext Competitive Strengths & Weaknesses
7.14 Aiimi
7.14.1 Aiimi Details
7.14.2 Aiimi Major Business
7.14.3 Aiimi AI Search Engines Product and Services
7.14.4 Aiimi AI Search Engines Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
7.14.5 Aiimi Recent Developments/Updates
7.14.6 Aiimi Competitive Strengths & Weaknesses
7.15 AlphaSense
7.15.1 AlphaSense Details
7.15.2 AlphaSense Major Business
7.15.3 AlphaSense AI Search Engines Product and Services
7.15.4 AlphaSense AI Search Engines Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
7.15.5 AlphaSense Recent Developments/Updates
7.15.6 AlphaSense Competitive Strengths & Weaknesses
7.16 ViSenze
7.16.1 ViSenze Details
7.16.2 ViSenze Major Business
7.16.3 ViSenze AI Search Engines Product and Services
7.16.4 ViSenze AI Search Engines Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
7.16.5 ViSenze Recent Developments/Updates
7.16.6 ViSenze Competitive Strengths & Weaknesses
7.17 Syte
7.17.1 Syte Details
7.17.2 Syte Major Business
7.17.3 Syte AI Search Engines Product and Services
7.17.4 Syte AI Search Engines Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
7.17.5 Syte Recent Developments/Updates
7.17.6 Syte Competitive Strengths & Weaknesses
7.18 Coveo
7.18.1 Coveo Details
7.18.2 Coveo Major Business
7.18.3 Coveo AI Search Engines Product and Services
7.18.4 Coveo AI Search Engines Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
7.18.5 Coveo Recent Developments/Updates
7.18.6 Coveo Competitive Strengths & Weaknesses
8 Industry Chain Analysis
8.1 AI Search Engines Industry Chain
8.2 AI Search Engines Upstream Analysis
8.3 AI Search Engines Midstream Analysis
8.4 AI Search Engines Downstream Analysis
9 Research Findings and Conclusion
10 Appendix
10.1 Methodology
10.2 Research Process and Data Source
10.3 Disclaimer

Companies Mentioned:

OpenAI
Algolia AI
Yext
Shopify
NeevaAI
Bing AI
YouChat
Waldo
Andi
Google Search
Opera
Naver
Casetext
Aiimi
AlphaSense
ViSenze
Syte
Coveo

License Types:

Single User License (PDF)

This license allows for use of a publication by one person.
This person may print out a single copy of the publication.
This person can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.
This person cannot share the publication (or any information contained therein) with any other person or persons.
Unless a Enterprise License is purchased, a Single User License must be purchased for every person that wishes to use the publication within the same organization.
Customers who infringe these license terms are liable for a Global license fee.

听

Site License (PDF)*

This license allows for use of a publication by all users within one corporate location, e.g. a regional office.
These users may print out a single copy of the publication.
These users can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.
These users cannot share the publication (or any information contained therein) with any other person or persons outside the corporate location for which the publication is purchased.
Unless a Enterprise License is purchased, a Site User License must be purchased for every corporate location by an organization that wishes to use the publication within the same organization.
Customers who infringe these license terms are liable for a Global license fee.

听

Global License (PDF)*

This license allows for use of a publication by unlimited users within the purchasing organization e.g. all employees of a single company.
Each of these people may use the publication on any computer, and may print out the report, but may not share the publication (or any information contained therein) with any other person or persons outside of the organization.
These employees of purchasing organization can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.

*If Applicable.