Global Image Recognition in CPG Market Research Report 2024

Publication ID:

PB508241765

Publication Date:

August 27, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

Computer technology that uses algorithms and machine learning to identify certain humans, animals, objects or other different topics is called image recognition. It is connected to computer vision and can recognize people and other things. Machines that actively process image data are called image recognition machines. It can be done in many ways, but convolutional neural network is one of the most popular methods to filter images through a series of artificial neuron layers. Convolutional neural networks are specially constructed for recognition and similar imaging. Convolutional neural filters use various techniques, such as maximum packing, phase setting, and filling, to create images to help identify topics in machine learning systems. Photos are treated as gratings and images are treated as vectors by the machine. Raster image refers to a series of color pixels, while vector image is a collection of color labeled polygons.
The global Image Recognition in CPG 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 Image Recognition in CPG 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 Image Recognition in CPG 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 Image Recognition in CPG in Inventory analysis 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 Image Recognition in CPG include IBM, Google, Qualcomm, Microsoft, AWS, Trax, Catchoom, Slyce and LTU Tech, 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 Image Recognition in CPG, 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 Image Recognition in CPG.
Report Scope
The Image Recognition in CPG market size, estimations, and forecasts are provided in terms of 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 Image Recognition in CPG 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 Image Recognition in CPG companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price 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
Google
Qualcomm
Microsoft
AWS
Trax
Catchoom
Slyce
LTU Tech
Imagga
Vispera
Blippar
Ricoh innovations
Clarifai
Deepomatic
Huawei
Honeywell
Toshiba
Oracle
Segment by Type
Cloud Based
Local Deployment
Segment by Application
Inventory analysis
Category Analysis
Product and Shelf Monitoring Analysis
Others
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
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 Image Recognition in CPG companies鈥� 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 Image Recognition in CPG Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Cloud Based
1.2.3 Local Deployment
1.3 Market by Application
1.3.1 Global Image Recognition in CPG Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Inventory analysis
1.3.3 Category Analysis
1.3.4 Product and Shelf Monitoring Analysis
1.3.5 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Image Recognition in CPG Market Perspective (2019-2030)
2.2 Image Recognition in CPG Growth Trends by Region
2.2.1 Global Image Recognition in CPG Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Image Recognition in CPG Historic Market Size by Region (2019-2024)
2.2.3 Image Recognition in CPG Forecasted Market Size by Region (2025-2030)
2.3 Image Recognition in CPG Market Dynamics
2.3.1 Image Recognition in CPG Industry Trends
2.3.2 Image Recognition in CPG Market Drivers
2.3.3 Image Recognition in CPG Market Challenges
2.3.4 Image Recognition in CPG Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Image Recognition in CPG Players by Revenue
3.1.1 Global Top Image Recognition in CPG Players by Revenue (2019-2024)
3.1.2 Global Image Recognition in CPG Revenue Market Share by Players (2019-2024)
3.2 Global Image Recognition in CPG Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Image Recognition in CPG Revenue
3.4 Global Image Recognition in CPG Market Concentration Ratio
3.4.1 Global Image Recognition in CPG Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Image Recognition in CPG Revenue in 2023
3.5 Image Recognition in CPG Key Players Head office and Area Served
3.6 Key Players Image Recognition in CPG Product Solution and Service
3.7 Date of Enter into Image Recognition in CPG Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Image Recognition in CPG Breakdown Data by Type
4.1 Global Image Recognition in CPG Historic Market Size by Type (2019-2024)
4.2 Global Image Recognition in CPG Forecasted Market Size by Type (2025-2030)
5 Image Recognition in CPG Breakdown Data by Application
5.1 Global Image Recognition in CPG Historic Market Size by Application (2019-2024)
5.2 Global Image Recognition in CPG Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Image Recognition in CPG Market Size (2019-2030)
6.2 North America Image Recognition in CPG Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Image Recognition in CPG Market Size by Country (2019-2024)
6.4 North America Image Recognition in CPG Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Image Recognition in CPG Market Size (2019-2030)
7.2 Europe Image Recognition in CPG Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Image Recognition in CPG Market Size by Country (2019-2024)
7.4 Europe Image Recognition in CPG 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 Image Recognition in CPG Market Size (2019-2030)
8.2 Asia-Pacific Image Recognition in CPG Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Image Recognition in CPG Market Size by Region (2019-2024)
8.4 Asia-Pacific Image Recognition in CPG 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 Image Recognition in CPG Market Size (2019-2030)
9.2 Latin America Image Recognition in CPG Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Image Recognition in CPG Market Size by Country (2019-2024)
9.4 Latin America Image Recognition in CPG Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Image Recognition in CPG Market Size (2019-2030)
10.2 Middle East & Africa Image Recognition in CPG Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Image Recognition in CPG Market Size by Country (2019-2024)
10.4 Middle East & Africa Image Recognition in CPG 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 Detail
11.1.2 IBM Business Overview
11.1.3 IBM Image Recognition in CPG Introduction
11.1.4 IBM Revenue in Image Recognition in CPG Business (2019-2024)
11.1.5 IBM Recent Development
11.2 Google
11.2.1 Google Company Detail
11.2.2 Google Business Overview
11.2.3 Google Image Recognition in CPG Introduction
11.2.4 Google Revenue in Image Recognition in CPG Business (2019-2024)
11.2.5 Google Recent Development
11.3 Qualcomm
11.3.1 Qualcomm Company Detail
11.3.2 Qualcomm Business Overview
11.3.3 Qualcomm Image Recognition in CPG Introduction
11.3.4 Qualcomm Revenue in Image Recognition in CPG Business (2019-2024)
11.3.5 Qualcomm Recent Development
11.4 Microsoft
11.4.1 Microsoft Company Detail
11.4.2 Microsoft Business Overview
11.4.3 Microsoft Image Recognition in CPG Introduction
11.4.4 Microsoft Revenue in Image Recognition in CPG Business (2019-2024)
11.4.5 Microsoft Recent Development
11.5 AWS
11.5.1 AWS Company Detail
11.5.2 AWS Business Overview
11.5.3 AWS Image Recognition in CPG Introduction
11.5.4 AWS Revenue in Image Recognition in CPG Business (2019-2024)
11.5.5 AWS Recent Development
11.6 Trax
11.6.1 Trax Company Detail
11.6.2 Trax Business Overview
11.6.3 Trax Image Recognition in CPG Introduction
11.6.4 Trax Revenue in Image Recognition in CPG Business (2019-2024)
11.6.5 Trax Recent Development
11.7 Catchoom
11.7.1 Catchoom Company Detail
11.7.2 Catchoom Business Overview
11.7.3 Catchoom Image Recognition in CPG Introduction
11.7.4 Catchoom Revenue in Image Recognition in CPG Business (2019-2024)
11.7.5 Catchoom Recent Development
11.8 Slyce
11.8.1 Slyce Company Detail
11.8.2 Slyce Business Overview
11.8.3 Slyce Image Recognition in CPG Introduction
11.8.4 Slyce Revenue in Image Recognition in CPG Business (2019-2024)
11.8.5 Slyce Recent Development
11.9 LTU Tech
11.9.1 LTU Tech Company Detail
11.9.2 LTU Tech Business Overview
11.9.3 LTU Tech Image Recognition in CPG Introduction
11.9.4 LTU Tech Revenue in Image Recognition in CPG Business (2019-2024)
11.9.5 LTU Tech Recent Development
11.10 Imagga
11.10.1 Imagga Company Detail
11.10.2 Imagga Business Overview
11.10.3 Imagga Image Recognition in CPG Introduction
11.10.4 Imagga Revenue in Image Recognition in CPG Business (2019-2024)
11.10.5 Imagga Recent Development
11.11 Vispera
11.11.1 Vispera Company Detail
11.11.2 Vispera Business Overview
11.11.3 Vispera Image Recognition in CPG Introduction
11.11.4 Vispera Revenue in Image Recognition in CPG Business (2019-2024)
11.11.5 Vispera Recent Development
11.12 Blippar
11.12.1 Blippar Company Detail
11.12.2 Blippar Business Overview
11.12.3 Blippar Image Recognition in CPG Introduction
11.12.4 Blippar Revenue in Image Recognition in CPG Business (2019-2024)
11.12.5 Blippar Recent Development
11.13 Ricoh innovations
11.13.1 Ricoh innovations Company Detail
11.13.2 Ricoh innovations Business Overview
11.13.3 Ricoh innovations Image Recognition in CPG Introduction
11.13.4 Ricoh innovations Revenue in Image Recognition in CPG Business (2019-2024)
11.13.5 Ricoh innovations Recent Development
11.14 Clarifai
11.14.1 Clarifai Company Detail
11.14.2 Clarifai Business Overview
11.14.3 Clarifai Image Recognition in CPG Introduction
11.14.4 Clarifai Revenue in Image Recognition in CPG Business (2019-2024)
11.14.5 Clarifai Recent Development
11.15 Deepomatic
11.15.1 Deepomatic Company Detail
11.15.2 Deepomatic Business Overview
11.15.3 Deepomatic Image Recognition in CPG Introduction
11.15.4 Deepomatic Revenue in Image Recognition in CPG Business (2019-2024)
11.15.5 Deepomatic Recent Development
11.16 Huawei
11.16.1 Huawei Company Detail
11.16.2 Huawei Business Overview
11.16.3 Huawei Image Recognition in CPG Introduction
11.16.4 Huawei Revenue in Image Recognition in CPG Business (2019-2024)
11.16.5 Huawei Recent Development
11.17 Honeywell
11.17.1 Honeywell Company Detail
11.17.2 Honeywell Business Overview
11.17.3 Honeywell Image Recognition in CPG Introduction
11.17.4 Honeywell Revenue in Image Recognition in CPG Business (2019-2024)
11.17.5 Honeywell Recent Development
11.18 Toshiba
11.18.1 Toshiba Company Detail
11.18.2 Toshiba Business Overview
11.18.3 Toshiba Image Recognition in CPG Introduction
11.18.4 Toshiba Revenue in Image Recognition in CPG Business (2019-2024)
11.18.5 Toshiba Recent Development
11.19 Oracle
11.19.1 Oracle Company Detail
11.19.2 Oracle Business Overview
11.19.3 Oracle Image Recognition in CPG Introduction
11.19.4 Oracle Revenue in Image Recognition in CPG Business (2019-2024)
11.19.5 Oracle 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

Companies Mentioned:

IBM
Google
Qualcomm
Microsoft
AWS
Trax
Catchoom
Slyce
LTU Tech
Imagga
Vispera
Blippar
Ricoh innovations
Clarifai
Deepomatic
Huawei
Honeywell
Toshiba
Oracle

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