Global Image Recognition Market Research Report 2024

Publication ID:

PB502245860

Publication Date:

March 1, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

Image recognition, in the context of machine vision, is the ability of software to identify objects, places, people, writing and actions in images. Computers can use machine vision technologies in combination with a camera and artificial intelligence software to achieve image recognition.
The global Image Recognition market was valued at US$ 20720 million in 2023 and is anticipated to reach US$ 58920 million by 2030, witnessing a CAGR of 15.6% during the forecast period 2024-2030.
North America holds the largest share of the global market. Higher adoption of new and advanced technologies such as mobile application security solutions is driving the growth of this regional market. The image recognition market in Asia-Pacific is projected to grow at the highest CAGR during the forecast period. This high growth can be attributed to the high adoption of cloud, mobility, and infrastructure management solutions to address information security.
This report aims to provide a comprehensive presentation of the global market for Image Recognition, 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.
Report Scope
The Image Recognition 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 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 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
Qualcomm
NEC
Google
LTU Technologies
Catchoom Technologies
Honeywell
Hitachi
Slyce
Wikitude
Attrasoft
Segment by Type
Code Recognition
Digital Image Processing
Facial Recognition
Object Recognition
Pattern Recognition
Optical Character Recognition
Segment by Application
BFSI
Media & Entertainment
Retail & Consumer Goods
IT & Telecom
Government
Healthcare
Transportation & Logistics
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 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 Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Code Recognition
1.2.3 Digital Image Processing
1.2.4 Facial Recognition
1.2.5 Object Recognition
1.2.6 Pattern Recognition
1.2.7 Optical Character Recognition
1.3 Market by Application
1.3.1 Global Image Recognition Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 BFSI
1.3.3 Media & Entertainment
1.3.4 Retail & Consumer Goods
1.3.5 IT & Telecom
1.3.6 Government
1.3.7 Healthcare
1.3.8 Transportation & Logistics
1.3.9 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Image Recognition Market Perspective (2019-2030)
2.2 Image Recognition Growth Trends by Region
2.2.1 Global Image Recognition Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Image Recognition Historic Market Size by Region (2019-2024)
2.2.3 Image Recognition Forecasted Market Size by Region (2025-2030)
2.3 Image Recognition Market Dynamics
2.3.1 Image Recognition Industry Trends
2.3.2 Image Recognition Market Drivers
2.3.3 Image Recognition Market Challenges
2.3.4 Image Recognition Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Image Recognition Players by Revenue
3.1.1 Global Top Image Recognition Players by Revenue (2019-2024)
3.1.2 Global Image Recognition Revenue Market Share by Players (2019-2024)
3.2 Global Image Recognition Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Image Recognition Revenue
3.4 Global Image Recognition Market Concentration Ratio
3.4.1 Global Image Recognition Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Image Recognition Revenue in 2023
3.5 Image Recognition Key Players Head office and Area Served
3.6 Key Players Image Recognition Product Solution and Service
3.7 Date of Enter into Image Recognition Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Image Recognition Breakdown Data by Type
4.1 Global Image Recognition Historic Market Size by Type (2019-2024)
4.2 Global Image Recognition Forecasted Market Size by Type (2025-2030)
5 Image Recognition Breakdown Data by Application
5.1 Global Image Recognition Historic Market Size by Application (2019-2024)
5.2 Global Image Recognition Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Image Recognition Market Size (2019-2030)
6.2 North America Image Recognition Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Image Recognition Market Size by Country (2019-2024)
6.4 North America Image Recognition Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Image Recognition Market Size (2019-2030)
7.2 Europe Image Recognition Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Image Recognition Market Size by Country (2019-2024)
7.4 Europe Image Recognition 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 Market Size (2019-2030)
8.2 Asia-Pacific Image Recognition Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Image Recognition Market Size by Region (2019-2024)
8.4 Asia-Pacific Image Recognition 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 Market Size (2019-2030)
9.2 Latin America Image Recognition Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Image Recognition Market Size by Country (2019-2024)
9.4 Latin America Image Recognition Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Image Recognition Market Size (2019-2030)
10.2 Middle East & Africa Image Recognition Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Image Recognition Market Size by Country (2019-2024)
10.4 Middle East & Africa Image Recognition Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Qualcomm
11.1.1 Qualcomm Company Detail
11.1.2 Qualcomm Business Overview
11.1.3 Qualcomm Image Recognition Introduction
11.1.4 Qualcomm Revenue in Image Recognition Business (2019-2024)
11.1.5 Qualcomm Recent Development
11.2 NEC
11.2.1 NEC Company Detail
11.2.2 NEC Business Overview
11.2.3 NEC Image Recognition Introduction
11.2.4 NEC Revenue in Image Recognition Business (2019-2024)
11.2.5 NEC Recent Development
11.3 Google
11.3.1 Google Company Detail
11.3.2 Google Business Overview
11.3.3 Google Image Recognition Introduction
11.3.4 Google Revenue in Image Recognition Business (2019-2024)
11.3.5 Google Recent Development
11.4 LTU Technologies
11.4.1 LTU Technologies Company Detail
11.4.2 LTU Technologies Business Overview
11.4.3 LTU Technologies Image Recognition Introduction
11.4.4 LTU Technologies Revenue in Image Recognition Business (2019-2024)
11.4.5 LTU Technologies Recent Development
11.5 Catchoom Technologies
11.5.1 Catchoom Technologies Company Detail
11.5.2 Catchoom Technologies Business Overview
11.5.3 Catchoom Technologies Image Recognition Introduction
11.5.4 Catchoom Technologies Revenue in Image Recognition Business (2019-2024)
11.5.5 Catchoom Technologies Recent Development
11.6 Honeywell
11.6.1 Honeywell Company Detail
11.6.2 Honeywell Business Overview
11.6.3 Honeywell Image Recognition Introduction
11.6.4 Honeywell Revenue in Image Recognition Business (2019-2024)
11.6.5 Honeywell Recent Development
11.7 Hitachi
11.7.1 Hitachi Company Detail
11.7.2 Hitachi Business Overview
11.7.3 Hitachi Image Recognition Introduction
11.7.4 Hitachi Revenue in Image Recognition Business (2019-2024)
11.7.5 Hitachi Recent Development
11.8 Slyce
11.8.1 Slyce Company Detail
11.8.2 Slyce Business Overview
11.8.3 Slyce Image Recognition Introduction
11.8.4 Slyce Revenue in Image Recognition Business (2019-2024)
11.8.5 Slyce Recent Development
11.9 Wikitude
11.9.1 Wikitude Company Detail
11.9.2 Wikitude Business Overview
11.9.3 Wikitude Image Recognition Introduction
11.9.4 Wikitude Revenue in Image Recognition Business (2019-2024)
11.9.5 Wikitude Recent Development
11.10 Attrasoft
11.10.1 Attrasoft Company Detail
11.10.2 Attrasoft Business Overview
11.10.3 Attrasoft Image Recognition Introduction
11.10.4 Attrasoft Revenue in Image Recognition Business (2019-2024)
11.10.5 Attrasoft 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:

Qualcomm
NEC
Google
LTU Technologies
Catchoom Technologies
Honeywell
Hitachi
Slyce
Wikitude
Attrasoft

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