AI in Physical Security Market Trends, Share, Growth, Size 2031

AI in Physical Security Market Share and Forecasts (2021-2031), Global and Regional Share, Trends, and Growth Opportunity Analysis by Type (Solutions, Services (Managed Services, Professional Services)); Technology (Machine Learning, Natural Language Processing, Context Aware Computing, Computer Vision); Deployment (On Premise, Cloud); End User (Residential, Commercial, Military and Defense, Manufacturing, Others); and Geography

  • Report Code : TIPRE00025076
  • Category : Technology, Media and Telecommunications
  • Status : Upcoming
  • No. of Pages : 150
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Analyst Perspective

The AI in physical security market is being driven by several key factors contributing to its growth and development. The increasing innovations in AI and machine learning are major drivers for the AI in physical security market. These technologies have the speed and agility to analyze millions of events quickly, identify vulnerabilities, and enhance security systems.

Market Overview

The AI in physical security market is expected to grow with a CAGR of 19.5% during the period of 2023-2031. The AI in Physical Security ensures the tightening up of security in any place or organization that is being used. The reliability of AI has made it such that adopting it into various systems will become a benchmark for the coming years. Utilizing AI is beneficial, provided the various benefits it brings to the table. As AI's capabilities increase, so will its use in physical security. In security, AI will assist humans in spotting potential threats that may or may not be visible to the naked eye in real-time. There are various tools that AI is using in physical security, video surveillance being the most widely used. In video surveillance, the physical security need not stare at the screen for long hours trying to pinpoint the exact moments of suspicion or danger. Still, the AI, with its advanced capabilities, will do the work for them. Some robots and drones, commonly used in the military, assist in security. AI guns used at the entrance of various airports help detect weapons or any harmful foreign object to preserve the security of the environment inside.

Market Drivers

Rising Instances of Cyber Threats and Data Protection Concerns

The escalating instances of cyber threats and the growing concerns for data protection are significant factors driving the demand for AI in physical security. The increasing vulnerability of Wi-Fi networks to security threats further contributes to this demand. The exponential growth of internet interconnections has led to a significant increase in cyber-attack incidents, often with disastrous consequences. Malware is a primary weapon choice for carrying out malicious intents in cyberspace, either by exploiting existing vulnerabilities or utilizing the unique characteristics of emerging technologies. The development of more innovative and effective malware defense mechanisms has been regarded as an urgent requirement in the face of these escalating threats.

Market Scope

The "AI in Physical Security Market Analysis To 2031" is a specialized and in-depth study of the technology, media, and telecommunications industry with a special focus on global market trend analysis. The market report aims to provide an overview of AI in the physical Security market with detailed market segmentation by type, technology, deployment, end user, and geography. The global market is expected to witness high growth during the forecast period. The report provides key statistics on the market status of the leading market players and offers key trends and opportunities in the market.

Market Segmentation

The global AI in physical security market is segmented into type, technology, deployment, and end user. Based on type, the market is segmented into solutions, services (managed services and professional services). Based on technology, the market is segmented into machine learning, natural language processing, context-aware computing, and computer vision. Based on deployment, the market is segmented into on-premise and cloud. Based on end-user, the market is segmented into residential, commercial, military and defense, manufacturing, and others.

REGIONAL FRAMEWORK

The report provides a detailed overview of the industry, including both qualitative and quantitative information. It provides an overview and forecast of the global AI in physical security market based on various segments. It also provides market size and forecast estimates from the year 2021 to 2031 with respect to five major regions, namely, North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA), and South & Central America. The AI in physical security market by each region is later sub-segmented by respective countries and segments. The AI in physical security market report covers the analysis and forecast of 18 countries globally, along with the current trends and opportunities prevailing in the region.

The report analyses factors affecting the AI in physical security market from both the demand and supply side and further evaluates market dynamics affecting the market during the forecast period, i.e., drivers, restraints, opportunities, and future trends. The report also provides an exhaustive PEST analysis highlighting factors affecting the AI in physical market in these regions.

AI in Physical Security Market Report Analysis

AI in Physical Security Market
  • CAGR
    CAGR (2023 - 2031)
    XX%
  • Market Size 2023
    US$ XX Million
  • Market Size 2031
    US$ XX Million

Report Coverage

  • Market size and forecast at global, regional, and country levels for all the key market segments covered under the scope
  • Key future trends
  • Detailed PEST/Porter’s Five Forces and SWOT analysis
  • Industry landscape and competition analysis & recent developments
  • Detailed company profiles
  • Global and regional market analysis covering key market trends, major players, regulations, and recent market developments

Key Players

  • Cisco Systems Inc.
  • Google LLC
  • Hewlett Packard Enterprises Company
  • Huawei Technologies Co., Ltd
  • IBM Corporation
  • Neurala Inc.
  • Nvidia Corporation
  • SAP SE
  • Siemens AG

Regional Overview

Regional Overview
  • North America
  • Europe
  • Asia-Pacific
  • South and Central America
  • Middle East and Africa

Market Segmentation

Market Segment By Type
  • Solutions
  • Services
Market Segment By Technology
  • Machine Learning
  • Natural Language Processing
  • Context Aware Computing
  • Computer Vision
Market Segment By Deployment
  • On Premise
  • Cloud
Market Segment By End User
  • Residential
  • Commercial
  • Military and Defense
  • Manufacturing
MARKET PLAYERS

The reports cover key developments in the AI in physical security market as organic and inorganic growth strategies. Various companies are focusing on organic growth strategies such as product launches, product approvals, and others such as patents and events. Inorganic growth strategies activities witnessed in the market were acquisitions and partnerships & collaborations. These activities have paved the way for the expansion of business and customer base of market players. The key players from the market are anticipated to have lucrative growth opportunities in the future with the rising demand for filter products in the global market.

The report also includes the profiles of key companies along with their SWOT analysis and market strategies in the market. In addition, the report focuses on leading industry players with information such as company profiles, components, and services offered, financial information for the last 3 years, and key developments in the past five years. Below is a list of a few companies engaged in the AI in physical security market.

  • Cisco System Inc.
  • Google LLC
  • Hewlett Packard Enterprise
  • Huawei Technologies Co. Ltd.
  • IBM Corporation
  • Neurala Inc.
  • Nvidia Corporation
  • SAP SE
  • Siemens AG
  • Xilinx Inc.

AI in Physical Security Market Report Scope

Report Attribute Details
Market size in 2023 US$ XX Million
Market Size by 2031 US$ XX Million
Global CAGR (2023 - 2031) XX%
Historical Data 2021-2022
Forecast period 2024-2031
Segments Covered By Type
  • Solutions
  • Services
By Technology
  • Machine Learning
  • Natural Language Processing
  • Context Aware Computing
  • Computer Vision
By Deployment
  • On Premise
  • Cloud
By End User
  • Residential
  • Commercial
  • Military and Defense
  • Manufacturing
Regions and Countries Covered North America
  • US
  • Canada
  • Mexico
Europe
  • UK
  • Germany
  • France
  • Russia
  • Italy
  • Rest of Europe
Asia-Pacific
  • China
  • India
  • Japan
  • Australia
  • Rest of Asia-Pacific
South and Central America
  • Brazil
  • Argentina
  • Rest of South and Central America
Middle East and Africa
  • South Africa
  • Saudi Arabia
  • UAE
  • Rest of Middle East and Africa
Market leaders and key company profiles
  • Cisco Systems Inc.
  • Google LLC
  • Hewlett Packard Enterprises Company
  • Huawei Technologies Co., Ltd
  • IBM Corporation
  • Neurala Inc.
  • Nvidia Corporation
  • SAP SE
  • Siemens AG
    • Historical Analysis (2 Years), Base Year, Forecast (7 Years) with CAGR
    • PEST and SWOT Analysis
    • Market Size Value / Volume - Global, Regional, Country
    • Industry and Competitive Landscape
    • Excel Dataset
    Report Coverage

    Report Coverage

    Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends

    Segment Covered

    Segment Covered

    This text is related
    to segments covered.

    Regional Scope

    Regional Scope

    North America, Europe, Asia Pacific, Middle East & Africa, South & Central America

    Country Scope

    Country Scope

    This text is related
    to country scope.

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    The List of Companies

    1.Cisco Systems Inc.
    2.Google LLC
    3.Hewlett Packard Enterprises Company
    4.Huawei Technologies Co., Ltd
    5.IBM Corporation
    6.Neurala Inc.
    7.Nvidia Corporation
    8.SAP SE
    9.Siemens AG
    10.Xilinx Inc.