AI Image Recognition Market by Type, Deployment, End-User, Organization Size

Description

List of Tables

[189 Pages Report] The AI Image Recognition Market size was estimated at USD 32.81 billion in 2023 and expected to reach USD 40.24 billion in 2024, at a CAGR 22.19% to reach USD 133.45 billion by 2030.

Global AI Image Recognition Market

KEY MARKET STATISTICS
Base Year [2023]	USD 32.81 billion
Estimated Year [2024]	USD 40.24 billion
Forecast Year [2030]	USD 133.45 billion
CAGR (%)	22.19%

FPNV Positioning Matrix

The FPNV Positioning Matrix is pivotal in evaluating the AI Image Recognition Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the AI Image Recognition Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Key Company Profiles

The report delves into recent significant developments in the AI Image Recognition Market, highlighting leading vendors and their innovative profiles. These include AIRY3D, Amazon Web Services, Inc., Blippar Group Limited, Clarifai, Inc., Fritz Labs Inc., Google LLC by Alphabet Inc., Honeywell International Inc., Huawei Cloud Computing Technologies Co., Ltd., Infrrd Inc., Intel Corporation, International Business Machines Corporation, Microsoft Corporation, Mirror AI, Monolith AI Ltd., NEC Corporation, Oracle Corporation, Qualcomm Technologies, Inc., Restb.ai, Snap2Insight Inc., Standard AI, Toshiba Corporation, Trax Technology Solutions Pte Ltd., Unispectral Ltd., Vispera Information Technologies, and Ximilar s.r.o..

Market Segmentation & Coverage

This research report categorizes the AI Image Recognition Market to forecast the revenues and analyze trends in each of the following sub-markets:

Type
- Hardware
- Services
- Software
Deployment
- On-Cloud
- On-Premise
End-User
- Automotive
- BFSI
- Healthcare
- Retail
- Security
Organization Size
- Large Enterprises
- Small & Medium Enterprises
Region
- Americas
  - Argentina
  - Brazil
  - Canada
  - Mexico
  - United States
    - California
    - Florida
    - Illinois
    - New York
    - Ohio
    - Pennsylvania
    - Texas
- Asia-Pacific
  - Australia
  - China
  - India
  - Indonesia
  - Japan
  - Malaysia
  - Philippines
  - Singapore
  - South Korea
  - Taiwan
  - Thailand
  - Vietnam
- Europe, Middle East & Africa
  - Denmark
  - Egypt
  - Finland
  - France
  - Germany
  - Israel
  - Italy
  - Netherlands
  - Nigeria
  - Norway
  - Poland
  - Qatar
  - Russia
  - Saudi Arabia
  - South Africa
  - Spain
  - Sweden
  - Switzerland
  - Turkey
  - United Arab Emirates
  - United Kingdom

The report offers valuable insights on the following aspects:

1. Market Penetration: It presents comprehensive information on the market provided by key players.

2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.

3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.

4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.

5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.

The report addresses key questions such as:

1. What is the market size and forecast of the AI Image Recognition Market?

2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the AI Image Recognition Market?

3. What are the technology trends and regulatory frameworks in the AI Image Recognition Market?

4. What is the market share of the leading vendors in the AI Image Recognition Market?

5. Which modes and strategic moves are suitable for entering the AI Image Recognition Market?

Product Code: MRR-B16853776A44

1. Preface

1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Limitations
1.7. Assumptions
1.8. Stakeholders

2. Research Methodology

2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

4.1. Introduction
4.2. AI Image Recognition Market, by Region

5. Market Insights

5.1. Market Dynamics
- 5.1.1. Drivers
  - 5.1.1.1. Use of facial recognition in smart devices and across ecommerce platforms
  - 5.1.1.2. Adoption of image recognition in medical and diagnostics sector
  - 5.1.1.3. Government initiatives expanding deployment and awareness of AI image recognition
- 5.1.2. Restraints
  - 5.1.2.1. Inaccuracy & latency issues due to massive data generation
- 5.1.3. Opportunities
  - 5.1.3.1. R&D for improvements in image recognition technology
  - 5.1.3.2. Emerging use of image recognition in smart cities
- 5.1.4. Challenges
  - 5.1.4.1. Privacy and security concerns related to AI in image recognition solutions
5.2. Market Segmentation Analysis
5.3. Market Trend Analysis
5.4. Cumulative Impact of High Inflation
5.5. Porter's Five Forces Analysis
- 5.5.1. Threat of New Entrants
- 5.5.2. Threat of Substitutes
- 5.5.3. Bargaining Power of Customers
- 5.5.4. Bargaining Power of Suppliers
- 5.5.5. Industry Rivalry
5.6. Value Chain & Critical Path Analysis
5.7. Regulatory Framework

6. AI Image Recognition Market, by Type

6.1. Introduction
6.2. Hardware
6.3. Services
6.4. Software

7. AI Image Recognition Market, by Deployment

7.1. Introduction
7.2. On-Cloud
7.3. On-Premise

8. AI Image Recognition Market, by End-User

8.1. Introduction
8.2. Automotive
8.3. BFSI
8.4. Healthcare
8.5. Retail
8.6. Security

9. AI Image Recognition Market, by Organization Size

9.1. Introduction
9.2. Large Enterprises
9.3. Small & Medium Enterprises

10. Americas AI Image Recognition Market

10.1. Introduction
10.2. Argentina
10.3. Brazil
10.4. Canada
10.5. Mexico
10.6. United States

11. Asia-Pacific AI Image Recognition Market

11.1. Introduction
11.2. Australia
11.3. China
11.4. India
11.5. Indonesia
11.6. Japan
11.7. Malaysia
11.8. Philippines
11.9. Singapore
11.10. South Korea
11.11. Taiwan
11.12. Thailand
11.13. Vietnam

12. Europe, Middle East & Africa AI Image Recognition Market

12.1. Introduction
12.2. Denmark
12.3. Egypt
12.4. Finland
12.5. France
12.6. Germany
12.7. Israel
12.8. Italy
12.9. Netherlands
12.10. Nigeria
12.11. Norway
12.12. Poland
12.13. Qatar
12.14. Russia
12.15. Saudi Arabia
12.16. South Africa
12.17. Spain
12.18. Sweden
12.19. Switzerland
12.20. Turkey
12.21. United Arab Emirates
12.22. United Kingdom

13. Competitive Landscape

13.1. FPNV Positioning Matrix
13.2. Market Share Analysis, By Key Player
13.3. Competitive Scenario Analysis, By Key Player

14. Competitive Portfolio

14.1. Key Company Profiles
- 14.1.1. AIRY3D
- 14.1.2. Amazon Web Services, Inc.
- 14.1.3. Blippar Group Limited
- 14.1.4. Clarifai, Inc.
- 14.1.5. Fritz Labs Inc.
- 14.1.6. Google LLC by Alphabet Inc.
- 14.1.7. Honeywell International Inc.
- 14.1.8. Huawei Cloud Computing Technologies Co., Ltd.
- 14.1.9. Infrrd Inc.
- 14.1.10. Intel Corporation
- 14.1.11. International Business Machines Corporation
- 14.1.12. Microsoft Corporation
- 14.1.13. Mirror AI
- 14.1.14. Monolith AI Ltd.
- 14.1.15. NEC Corporation
- 14.1.16. Oracle Corporation
- 14.1.17. Qualcomm Technologies, Inc.
- 14.1.18. Restb.ai
- 14.1.19. Snap2Insight Inc.
- 14.1.20. Standard AI
- 14.1.21. Toshiba Corporation
- 14.1.22. Trax Technology Solutions Pte Ltd.
- 14.1.23. Unispectral Ltd.
- 14.1.24. Vispera Information Technologies
- 14.1.25. Ximilar s.r.o.
14.2. Key Product Portfolio

15. Appendix

15.1. Discussion Guide
15.2. License & Pricing