AI 신뢰성, 위험 및 보안 관리(AI TRiSM) 시장 규모, 점유율, 동향 분석 보고서 : 배포 모드별, 구성 요소별, 용도별, 유형별, 기업 규모별, 최종 용도별, 지역별 전망 및 예측(2024-2031년)
Global AI Trust, Risk and Security Management Market Size, Share & Trends Analysis Report By Deployment Mode, By Component, By Application, By Type, By Enterprise Size, By End-use, By Regional Outlook and Forecast, 2024 - 2031
상품코드 : 1472413
리서치사 : KBV Research
발행일 : 2024년 04월
페이지 정보 : 영문 424 Pages
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한글목차

세계 AI 신뢰성, 위험 및 보안 관리(AI TRiSM) 시장 규모는 예측 기간 동안 20.3%의 연평균 복합 성장률(CAGR)로 성장하여 2031년까지 82억 달러에 달할 것으로 예상됩니다.

또한, 사이버 범죄자들은 멀웨어, 랜섬웨어, 피싱, 내부 위협 등 더욱 정교한 공격 방법을 지속적으로 개발하고 있습니다. 이러한 지능형 위협은 기존의 보안 조치를 우회하도록 설계되어 조직의 데이터, 시스템 및 운영에 심각한 위험을 초래할 수 있습니다. 따라서 사이버 보안 위협 증가는 시장 성장을 가속하고 있습니다.

그러나 AI 기술 도입은 데이터 소스, 알고리즘, 모델, 인프라 등 다양한 구성 요소로 구성된 복잡한 생태계를 필요로 하는 경우가 많으며, AI 시스템을 기존 IT 인프라 및 워크플로우와 통합하기 위해서는 호환성 문제, 상호운용성 문제, 데이터 사일로를 해결해야 합니다. 호환성 문제, 상호운용성 문제, 데이터 사일로를 해결해야 하며, 이는 AI의 신뢰성, 위험 및 보안 관리 솔루션의 원활한 통합을 방해할 수 있습니다. 이러한 복잡성과 통합 문제가 시장 성장을 가로막고 있는 것입니다.

목차

제1장 시장 범위와 조사 방법

제2장 시장 요람

제3장 시장 개요

제4장 경쟁 분석 - 세계

제5장 세계의 AI 신뢰성, 위험 및 보안 관리(AI TRiSM) 시장 : 전개 모드별

제6장 세계의 AI 신뢰성, 위험 및 보안 관리(AI TRiSM) 시장 : 컴포넌트별

제7장 세계의 AI 신뢰성, 위험 및 보안 관리(AI TRiSM) 시장 : 용도별

제8장 세계의 AI 신뢰성, 위험 및 보안 관리(AI TRiSM) 시장 : 유형별

제9장 세계의 AI 신뢰성, 위험 및 보안 관리(AI TRiSM) 시장 : 기업 규모별

제10장 세계의 AI 신뢰성, 위험 및 보안 관리(AI TRiSM) 시장 : 최종 용도별

제11장 세계의 AI 신뢰성, 위험 및 보안 관리(AI TRiSM) 시장 : 지역별

제12장 기업 개요

제13장 AI 신뢰성, 위험 및 보안 관리(AI TRiSM) 시장을 위한 성공 필수 조건

LSH
영문 목차

영문목차

The Global AI Trust, Risk And Security Management Market size is expected to reach $8.2 billion by 2031, rising at a market growth of 20.3% CAGR during the forecast period.

Retail & e-commerce companies often employ dynamic pricing algorithms to adjust prices in real time based on factors like demand, competitor pricing, and customer behavior. Thus, the retail & e-commerce segment acquired $242.4 million revenue in 2023. AI trust, risk and security management solutions help retailers ensure the integrity and fairness of their pricing algorithms by detecting and preventing price manipulation attempts, protecting against revenue loss and customer dissatisfaction.

Traditional cybersecurity approaches often cannot keep pace with cyber threats' evolving sophistication. AI-driven threat intelligence systems employ advanced algorithms and machine learning techniques to evaluate large volumes of data, spot trends, and discover abnormalities that could be signs of criminal activity or security breaches. Therefore, increasing demand for AI-driven threat intelligence propels the market's growth.

Additionally, Cybercriminals continually develop more sophisticated attack techniques, including malware, ransomware, phishing, and insider threats. These advanced threats are designed to evade traditional security measures, posing significant risks to organizations' data, systems, and operations. Hence, escalating cybersecurity threats are driving the growth of the market.

However, the deployment of AI technologies often involves complex ecosystems comprising diverse components such as data sources, algorithms, models, and infrastructure. Integrating AI systems with existing IT infrastructure and workflows requires navigating compatibility issues, interoperability challenges, and data silos, which can hinder the seamless integration of AI trust, risk and security management solutions. Thus, complexity and integration challenges are hampering the growth of the market.

By Deployment Mode Analysis

By deployment, the market is divided into on-premises and cloud. The cloud segment procured a remarkable 37% revenue share in the market in 2023. Cloud deployment provides enhanced accessibility and flexibility.

By Component Analysis

Based on component, the market is divided into solutions and services. In 2023, the solution segment garnered the highest 75.4% revenue share in the market. Solutions offer comprehensive approaches to addressing trust, risk, and security concerns in AI deployments. These solutions typically include a combination of tools, technologies, and frameworks designed to assess, mitigate, and manage risks across the AI lifecycle, from data ingestion and model development to deployment and monitoring.

By Application Analysis

Based on application, the market is categorized into governance & compliance, bias detection & mitigation, security & anomaly detection, and privacy management. The bias detection & mitigation segment witnessed a considerable 27% revenue share in the market in 2023. The segment's growth can be attributed to the growing awareness among organizations about the adverse effects of biased AI, such as unfair discrimination and inaccurate results.

By Type Analysis

On the basis of type, the is segmented into explainability, modelOps, data anomaly detection, data protection, and AI application security. The explainability segment recorded the largest 38.2% revenue share in the market in 2023.

By Enterprise Size Analysis

Based on enterprise size, the market is divided into large enterprises and small & medium enterprise. In 2023, the small & medium enterprise segment procured a 32% remarkable revenue share in the market.

By End-use Analysis

On the basis of End-use, the market is segmented into telecom & IT, BFSI, manufacturing, retail & ecommerce, healthcare, government, media & entertainment, and others. The IT & telecommunication segment attained 28% revenue share in the market in 2023.

By Regional Analysis

Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The North America region witnessed 36% revenue share in the market in 2023. North America has stringent regulatory requirements and compliance standards for data privacy, cybersecurity, and financial services, such as the Health Insurance Portability and Accountability Act (HIPAA), the Payment Card Industry Data Security Standard (PCI DSS), and the Sarbanes-Oxley Act (SOX).

Recent Strategies Deployed in the Market

List of Key Companies Profiled

Global AI Trust, Risk And Security Management Market Report Segmentation

By Deployment Mode

By Component

By Application

By Type

By Enterprise Size

By End-use

By Geography

Table of Contents

Chapter 1.Market Scope & Methodology

Chapter 2.Market at a Glance

Chapter 3.Market Overview

Chapter 4.Competition Analysis - Global

Chapter 5.Global AI Trust, Risk And Security Management Market by Deployment Mode

Chapter 6.Global AI Trust, Risk And Security Management Market by Component

Chapter 7.Global AI Trust, Risk And Security Management Market by Application

Chapter 8.Global AI Trust, Risk And Security Management Market by Type

Chapter 9.Global AI Trust, Risk And Security Management Market by Enterprise Size

Chapter 10.Global AI Trust, Risk And Security Management Market by End-use

Chapter 11.Global AI Trust, Risk And Security Management Market by Region

Chapter 12.Company Profiles

Chapter 13.Winning Imperatives of AI Trust, Risk And Security Management Market

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