Global Custom Image Recognition Software Market Research Report 2024

Publication ID:

PB505243104

Publication Date:

May 24, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

The global Custom Image Recognition Software market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of %during the forecast period 2024-2030.
North American market for Custom Image Recognition Software is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Custom Image Recognition Software is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Custom Image Recognition Software in E-Commerce is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Custom Image Recognition Software include IBM, Imagga Technologies, Amazon, Qualcomm Incorporated, Google, Microsoft, Catchoom Technologies, Intel Corporation, InData Labs, Fujitsu, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Custom Image Recognition Software, 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 Custom Image Recognition Software.
The Custom Image Recognition Software market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Custom Image Recognition Software 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 Custom Image Recognition Software 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.
Market Segmentation
By Company
IBM
Imagga Technologies
Amazon
Qualcomm Incorporated
Google
Microsoft
Catchoom Technologies
Intel Corporation
InData Labs
Fujitsu
AIMultiple
Oxagile
Altamira.ai
Segment by Type
On-premise
Cloud Based
Segment by Application
E-Commerce
Health Care
Safety
Entertainment
Educate
Others
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 Custom Image Recognition Software 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 Market Analysis by Type
1.2.1 Global Custom Image Recognition Software Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 On-premise
1.2.3 Cloud Based
1.3 Market by Application
1.3.1 Global Custom Image Recognition Software Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 E-Commerce
1.3.3 Health Care
1.3.4 Safety
1.3.5 Entertainment
1.3.6 Educate
1.3.7 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Custom Image Recognition Software Market Perspective (2019-2030)
2.2 Global Custom Image Recognition Software Growth Trends by Region
2.2.1 Global Custom Image Recognition Software Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Custom Image Recognition Software Historic Market Size by Region (2019-2024)
2.2.3 Custom Image Recognition Software Forecasted Market Size by Region (2025-2030)
2.3 Custom Image Recognition Software Market Dynamics
2.3.1 Custom Image Recognition Software Industry Trends
2.3.2 Custom Image Recognition Software Market Drivers
2.3.3 Custom Image Recognition Software Market Challenges
2.3.4 Custom Image Recognition Software Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Custom Image Recognition Software Players by Revenue
3.1.1 Global Top Custom Image Recognition Software Players by Revenue (2019-2024)
3.1.2 Global Custom Image Recognition Software Revenue Market Share by Players (2019-2024)
3.2 Global Custom Image Recognition Software Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Custom Image Recognition Software Revenue
3.4 Global Custom Image Recognition Software Market Concentration Ratio
3.4.1 Global Custom Image Recognition Software Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Custom Image Recognition Software Revenue in 2023
3.5 Global Key Players of Custom Image Recognition Software Head office and Area Served
3.6 Global Key Players of Custom Image Recognition Software, Product and Application
3.7 Global Key Players of Custom Image Recognition Software, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Custom Image Recognition Software Breakdown Data by Type
4.1 Global Custom Image Recognition Software Historic Market Size by Type (2019-2024)
4.2 Global Custom Image Recognition Software Forecasted Market Size by Type (2025-2030)
5 Custom Image Recognition Software Breakdown Data by Application
5.1 Global Custom Image Recognition Software Historic Market Size by Application (2019-2024)
5.2 Global Custom Image Recognition Software Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Custom Image Recognition Software Market Size (2019-2030)
6.2 North America Custom Image Recognition Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Custom Image Recognition Software Market Size by Country (2019-2024)
6.4 North America Custom Image Recognition Software Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Custom Image Recognition Software Market Size (2019-2030)
7.2 Europe Custom Image Recognition Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Custom Image Recognition Software Market Size by Country (2019-2024)
7.4 Europe Custom Image Recognition Software Market Size by Country (2025-2030)
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 Custom Image Recognition Software Market Size (2019-2030)
8.2 Asia-Pacific Custom Image Recognition Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Custom Image Recognition Software Market Size by Region (2019-2024)
8.4 Asia-Pacific Custom Image Recognition Software Market Size by Region (2025-2030)
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 Custom Image Recognition Software Market Size (2019-2030)
9.2 Latin America Custom Image Recognition Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Custom Image Recognition Software Market Size by Country (2019-2024)
9.4 Latin America Custom Image Recognition Software Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Custom Image Recognition Software Market Size (2019-2030)
10.2 Middle East & Africa Custom Image Recognition Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Custom Image Recognition Software Market Size by Country (2019-2024)
10.4 Middle East & Africa Custom Image Recognition Software Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 IBM
11.1.1 IBM Company Details
11.1.2 IBM Business Overview
11.1.3 IBM Custom Image Recognition Software Introduction
11.1.4 IBM Revenue in Custom Image Recognition Software Business (2019-2024)
11.1.5 IBM Recent Development
11.2 Imagga Technologies
11.2.1 Imagga Technologies Company Details
11.2.2 Imagga Technologies Business Overview
11.2.3 Imagga Technologies Custom Image Recognition Software Introduction
11.2.4 Imagga Technologies Revenue in Custom Image Recognition Software Business (2019-2024)
11.2.5 Imagga Technologies Recent Development
11.3 Amazon
11.3.1 Amazon Company Details
11.3.2 Amazon Business Overview
11.3.3 Amazon Custom Image Recognition Software Introduction
11.3.4 Amazon Revenue in Custom Image Recognition Software Business (2019-2024)
11.3.5 Amazon Recent Development
11.4 Qualcomm Incorporated
11.4.1 Qualcomm Incorporated Company Details
11.4.2 Qualcomm Incorporated Business Overview
11.4.3 Qualcomm Incorporated Custom Image Recognition Software Introduction
11.4.4 Qualcomm Incorporated Revenue in Custom Image Recognition Software Business (2019-2024)
11.4.5 Qualcomm Incorporated Recent Development
11.5 Google
11.5.1 Google Company Details
11.5.2 Google Business Overview
11.5.3 Google Custom Image Recognition Software Introduction
11.5.4 Google Revenue in Custom Image Recognition Software Business (2019-2024)
11.5.5 Google Recent Development
11.6 Microsoft
11.6.1 Microsoft Company Details
11.6.2 Microsoft Business Overview
11.6.3 Microsoft Custom Image Recognition Software Introduction
11.6.4 Microsoft Revenue in Custom Image Recognition Software Business (2019-2024)
11.6.5 Microsoft Recent Development
11.7 Catchoom Technologies
11.7.1 Catchoom Technologies Company Details
11.7.2 Catchoom Technologies Business Overview
11.7.3 Catchoom Technologies Custom Image Recognition Software Introduction
11.7.4 Catchoom Technologies Revenue in Custom Image Recognition Software Business (2019-2024)
11.7.5 Catchoom Technologies Recent Development
11.8 Intel Corporation
11.8.1 Intel Corporation Company Details
11.8.2 Intel Corporation Business Overview
11.8.3 Intel Corporation Custom Image Recognition Software Introduction
11.8.4 Intel Corporation Revenue in Custom Image Recognition Software Business (2019-2024)
11.8.5 Intel Corporation Recent Development
11.9 InData Labs
11.9.1 InData Labs Company Details
11.9.2 InData Labs Business Overview
11.9.3 InData Labs Custom Image Recognition Software Introduction
11.9.4 InData Labs Revenue in Custom Image Recognition Software Business (2019-2024)
11.9.5 InData Labs Recent Development
11.10 Fujitsu
11.10.1 Fujitsu Company Details
11.10.2 Fujitsu Business Overview
11.10.3 Fujitsu Custom Image Recognition Software Introduction
11.10.4 Fujitsu Revenue in Custom Image Recognition Software Business (2019-2024)
11.10.5 Fujitsu Recent Development
11.11 AIMultiple
11.11.1 AIMultiple Company Details
11.11.2 AIMultiple Business Overview
11.11.3 AIMultiple Custom Image Recognition Software Introduction
11.11.4 AIMultiple Revenue in Custom Image Recognition Software Business (2019-2024)
11.11.5 AIMultiple Recent Development
11.12 Oxagile
11.12.1 Oxagile Company Details
11.12.2 Oxagile Business Overview
11.12.3 Oxagile Custom Image Recognition Software Introduction
11.12.4 Oxagile Revenue in Custom Image Recognition Software Business (2019-2024)
11.12.5 Oxagile Recent Development
11.13 Altamira.ai
11.13.1 Altamira.ai Company Details
11.13.2 Altamira.ai Business Overview
11.13.3 Altamira.ai Custom Image Recognition Software Introduction
11.13.4 Altamira.ai Revenue in Custom Image Recognition Software Business (2019-2024)
11.13.5 Altamira.ai 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 Market Size Estimation
13.1.1.3 Market 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:

IBM
Imagga Technologies
Amazon
Qualcomm Incorporated
Google
Microsoft
Catchoom Technologies
Intel Corporation
InData Labs
Fujitsu
AIMultiple
Oxagile
Altamira.ai

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.

91制片厂