감시용 컴퓨터 비전 시장 : 제품, 구성요소별 - 세계 예측(2025-2030년)

The Computer Vision in Surveillance Market was valued at USD 3.33 billion in 2023, expected to reach USD 3.64 billion in 2024, and is projected to grow at a CAGR of 9.51%, to USD 6.30 billion by 2030.

Computer vision in surveillance is the application of algorithms and technologies that enable computers to interpret visual data from cameras to monitor and analyze environments. This advanced surveillance technique meets the growing need for enhanced security, operational efficiency, and automation in various sectors such as government, retail, transportation, and healthcare. The necessity of computer vision in surveillance stems from its ability to provide real-time monitoring, reduce human error, and manage vast amounts of visual data effectively. Key applications include automated threat detection, facial recognition, traffic monitoring, and suspicious behavior analysis. The end-use scope is expansive, with implementations ranging from smart cities, which utilize advanced monitoring for urban safety, to private enterprises seeking to secure premises and assets. Market growth is driven by advancements in AI and machine learning, declining costs of hardware, and heightened security concerns. However, privacy issues, data protection regulations, and the high initial investment required pose significant challenges. Potential opportunities lie in innovations like AI-driven analytics, edge computing, and the integration of IoT to provide real-time, intelligent insights. Companies should explore partnerships with AI startups and invest in cloud-based surveillance solutions to seize these opportunities. Despite limitations such as ethical concerns and regulatory complexities, the rising trend of smart infrastructure provides a fertile ground for pioneering research in areas like anomaly detection and predictive analytics. The market is dynamic, characterized by rapid technological advancements and competitive pressures, pushing entities to innovate continuously. Firms aiming for business growth should focus on developing privacy-centric solutions and enhancing interoperability with existing systems. Overall, there's immense potential for computer vision in surveillance to revolutionize security systems, although navigating its challenges requires strategic adaptation and foresight.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Computer Vision in Surveillance Market

The Computer Vision in Surveillance Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

• Market Drivers
  • Rising adoption in sectors such as manufacturing and military
  • Growing integration of deep learning neural networks
  • Increasing spending for home smart security technologies
• Market Restraints
  • High cost of the software and components
• Market Opportunities
  • Rapid advancements in blockchain technology in surveillance
  • Increasing shift to cloud-based platforms for image processing and analytics
• Market Challenges
  • Challenges associated with integration complexities

Porter's Five Forces: A Strategic Tool for Navigating the Computer Vision in Surveillance Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Computer Vision in Surveillance Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Computer Vision in Surveillance Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Computer Vision in Surveillance Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Computer Vision in Surveillance Market

A detailed market share analysis in the Computer Vision in Surveillance Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Computer Vision in Surveillance Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Computer Vision in Surveillance Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Computer Vision in Surveillance Market

A strategic analysis of the Computer Vision in Surveillance Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Computer Vision in Surveillance Market, highlighting leading vendors and their innovative profiles. These include Baumer Ltd., CEVA, Inc., Chooch Intelligence Technologies Co., Cognex Corporation, DeepX, Intel Corporation, International Business Machine Corporation, Keyence Corporation, NATIONAL INSTRUMENTS CORP., OMRON Corporation, PIXELINK, Inc., Sony Semiconductor Solutions by Sony Corporation, Teledyne Technologies Company, Texas Instruments Incorporated, and Tordivel AS.

Market Segmentation & Coverage

This research report categorizes the Computer Vision in Surveillance Market to forecast the revenues and analyze trends in each of the following sub-markets:

• Based on Product, market is studied across PC-Based Vision and Smart Cameras-Based Vision.
• Based on Component, market is studied across Hardware and Software. The Hardware is further studied across Cameras, Frame Grabbers, Image Sensors, LED Lighting, Optics, and Processors.
• Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Table of Contents

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. 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

5. Market Insights

• 5.1. Market Dynamics
  • 5.1.1. Drivers
    • 5.1.1.1. Rising adoption in sectors such as manufacturing and military
    • 5.1.1.2. Growing integration of deep learning neural networks
    • 5.1.1.3. Increasing spending for home smart security technologies
  • 5.1.2. Restraints
    • 5.1.2.1. High cost of the software and components
  • 5.1.3. Opportunities
    • 5.1.3.1. Rapid advancements in blockchain technology in surveillance
    • 5.1.3.2. Increasing shift to cloud-based platforms for image processing and analytics
  • 5.1.4. Challenges
    • 5.1.4.1. Challenges associated with integration complexities
• 5.2. Market Segmentation Analysis
• 5.3. Porter's Five Forces Analysis
  • 5.3.1. Threat of New Entrants
  • 5.3.2. Threat of Substitutes
  • 5.3.3. Bargaining Power of Customers
  • 5.3.4. Bargaining Power of Suppliers
  • 5.3.5. Industry Rivalry
• 5.4. PESTLE Analysis
  • 5.4.1. Political
  • 5.4.2. Economic
  • 5.4.3. Social
  • 5.4.4. Technological
  • 5.4.5. Legal
  • 5.4.6. Environmental

6. Computer Vision in Surveillance Market, by Product

• 6.1. Introduction
• 6.2. PC-Based Vision
• 6.3. Smart Cameras-Based Vision

7. Computer Vision in Surveillance Market, by Component

• 7.1. Introduction
• 7.2. Hardware
  • 7.2.1. Cameras
  • 7.2.2. Frame Grabbers
  • 7.2.3. Image Sensors
  • 7.2.4. LED Lighting
  • 7.2.5. Optics
  • 7.2.6. Processors
• 7.3. Software

8. Americas Computer Vision in Surveillance Market

• 8.1. Introduction
• 8.2. Argentina
• 8.3. Brazil
• 8.4. Canada
• 8.5. Mexico
• 8.6. United States

9. Asia-Pacific Computer Vision in Surveillance Market

• 9.1. Introduction
• 9.2. Australia
• 9.3. China
• 9.4. India
• 9.5. Indonesia
• 9.6. Japan
• 9.7. Malaysia
• 9.8. Philippines
• 9.9. Singapore
• 9.10. South Korea
• 9.11. Taiwan
• 9.12. Thailand
• 9.13. Vietnam

10. Europe, Middle East & Africa Computer Vision in Surveillance Market

• 10.1. Introduction
• 10.2. Denmark
• 10.3. Egypt
• 10.4. Finland
• 10.5. France
• 10.6. Germany
• 10.7. Israel
• 10.8. Italy
• 10.9. Netherlands
• 10.10. Nigeria
• 10.11. Norway
• 10.12. Poland
• 10.13. Qatar
• 10.14. Russia
• 10.15. Saudi Arabia
• 10.16. South Africa
• 10.17. Spain
• 10.18. Sweden
• 10.19. Switzerland
• 10.20. Turkey
• 10.21. United Arab Emirates
• 10.22. United Kingdom

11. Competitive Landscape

• 11.1. Market Share Analysis, 2023
• 11.2. FPNV Positioning Matrix, 2023
• 11.3. Competitive Scenario Analysis
• 11.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. Baumer Ltd.
• 2. CEVA, Inc.
• 3. Chooch Intelligence Technologies Co.
• 4. Cognex Corporation
• 5. DeepX
• 6. Intel Corporation
• 7. International Business Machine Corporation
• 8. Keyence Corporation
• 9. NATIONAL INSTRUMENTS CORP.
• 10. OMRON Corporation
• 11. PIXELINK, Inc.
• 12. Sony Semiconductor Solutions by Sony Corporation
• 13. Teledyne Technologies Company
• 14. Texas Instruments Incorporated
• 15. Tordivel AS