한글목차

AI TRiSM의 동향과 예측

세계의 AI TRiSM 시장은 2024년부터 2030년에 걸쳐 CAGR 16.2%로 성장할 것으로 예측됩니다. 조직 효율화와 의사결정 개선을 목적으로 한 AI를 활용한 워크포스 분석의 확대, 채용 프로세스에 있어서의 편견의 삭감과 다양성의 강화를 목적으로 한 AI TRiSM의 채용 확대입니다. 세계의 AI TRiSM 시장의 미래는 대기업 시장과 중소기업 시장에 기회가 있고 유망시되고 있습니다.

• Lucintel은 유형별로는 온프레미스가 예측 기간 중에 높은 성장을 이룰 것으로 예측했습니다.
• 용도별로는 대기업용이 높은 성장을 이룰 전망입니다.
• 지역별로는 APAC가 예측 기간 중에 가장 높은 성장이 예상됩니다.

AI TRiSM 시장의 전략적 성장 기회

AI TRiSM 시장은 여러 용도에 걸쳐 큰 전략적 성장 기회를 제공합니다.

• 헬스케어 용도: 헬스케어의 AI 의존성은 환자 데이터의 보안과 규제에 관한 AI TRiSM 기반 솔루션의 기회를 만들어 냅니다. 혁신에 대한 신뢰가 향상됩니다.
• 금융 서비스 : 금융 서비스는 규제에 크게 의존하고 컴플라이언스 및 위험 평가에 대응하는 AI TRiSM 솔루션의 요구가 증가하고 있습니다.
• 스마트 매뉴팩처링: 제조업이 AI 기술을 채택함에 따라 효과적인 리스크 관리 솔루션에 대한 수요가 증가하고 있습니다.
• 소매 부문 : 소매업은 주로 고객 경험의 개인화를 위해 AI가 가장 널리 채택되는 분야 중 하나가되고 있습니다. 효과적인 AI TRiSM 솔루션은 소비자 신뢰와 로열티를 양성하는 컴플라이언스 인센티브를 제공하면서 데이터 프라이버시에 관한 우려에 대처함으로써 소매업을 지원합니다.
• 공공 부문의 이니셔티브 : 정부는 공공 서비스에서 AI의 책임있는 도입에 주력합니다.

이러한 전략적 성장 기회는 다양한 용도에서 AI TRiSM 솔루션의 신뢰 구축과 위험 완화 전망을 밝혀냅니다.에서 경쟁하기 위해 스스로를 위치시키는 중요한 중점 분야가 됩니다.

AI TRiSM 시장 성장 촉진요인·과제

기술적, 경제적, 규제적 측면으로 인한 이러한 요인들이 AI TRiSM 시장을 형성하고 있습니다. 한 이해 관계자에게 필수적입니다.

AI TRiSM 시장을 견인하는 요인은 다음과 같습니다.

• 기술의 진보: 인공지능과 머신러닝 기술의 성장이 TRiSM 솔루션 수요를 촉진하고 있습니다.
• 규제 압력 : 정부 및 규제 기관은 AI 도입에 제한을 부과합니다. 그 결과 조직은 이러한 규칙을 준수하는 최종 의무가 있습니다. AI TRISM 솔루션의 채용은 이용에 대한 책임과 투명성을 강화할 필요성에 의해 추진되고 있습니다.
• 신뢰에 대한 소비자의 요구: AI의 적절한 사용과 관련하여 데이터 소비자의 신뢰에 대한 요구가 높아지고 있습니다. 경쟁우위성을 제공하는 AI TRiSM 솔루션의 기회를 창출합니다.

AI TRiSM 시장의 과제는 다음과 같습니다.

• 높은 도입 비용 : AI TRiSM 솔루션의 도입은 특히 중소기업에게는 비용이 듭니다.
• AI 시스템의 복잡성: AI 기술은 본질적으로 복잡하기 때문에 기업이 위험을 평가하고 효과적인 TRiSM 프레임워크를 도입하는 것은 어렵습니다.
• 규제 상황의 변화: AI의 규제 상황은 끊임없이 진화하고 있으며, 조직에 불확실성을 가져오고 있습니다.

이러한 시장 성장 촉진요인과 과제는 AI TRiSM 시장을 형성하고 성장과 혁신을 창출하는데 중요한 역할을 합니다. 이해관계자는 새로운 기회를 효과적으로 활용하기 위해 이러한 상황 를 탐색해야 합니다.

목차

제1장 주요 요약

제2장 세계의 AI TRiSM 시장 : 시장 역학

• 소개, 배경, 분류
• 공급망
• 업계의 촉진요인과 과제

제3장 시장 동향과 예측 분석(2018-2030년)

• 거시경제 동향(2018-2023년)과 예측(2024-2030년)
• 세계의 AI TRiSM 시장 동향(2018-2023)과 예측(2024-2030)
• 유형별 : 세계의 AI TRiSM 시장
  • 온프레미스
  • 클라우드
• 용도별 : 세계의 AI TRiSM 시장
  • 대기업
  • 중소기업

제4장 지역별 시장 동향과 예측 분석(2018-2023년)

• 지역별 세계 AI TRiSM 시장
• 북미의 AI TRiSM 시장
• 유럽의 AI TRiSM 시장
• 아시아태평양의 AI TRiSM 시장
• 기타 지역의 AI TRiSM 마켓

제5장 경쟁 분석

• 제품 포트폴리오 분석
• 운영 통합
• Porter's Five Forces 분석

제6장 성장 기회와 전략 분석

• 성장 기회 분석
  • 유형별 세계의 AI TRiSM 시장의 성장 기회
  • 용도별 세계 AI TRiSM 시장의 성장 기회
  • 지역별 세계의 AI TRiSM 시장의 성장 기회
• 세계의 AI TRiSM 시장의 새로운 동향
• 전략 분석
  • 신제품 개발
  • 세계의 AI TRiSM 시장의 용량 확대
  • 세계의 AI TRiSM 시장에서의 합병, 인수, 합작 사업
  • 인증 및 라이선싱

제7장 주요 기업의 기업 프로파일

• SAS Institute
• RSA Security
• Oracle Corporation
• Logicmanager
• Servicenow
• Rapid7
• SAP

영문목차

AI TRiSM Trends and Forecast

The future of the global AI TRiSM market looks promising with opportunities in the large enterprise and small & medium-sized enterprise markets. The global AI TRiSM market is expected to grow with a CAGR of 16.2% from 2024 to 2030. The major drivers for this market are an increase in demand for AI-driven talent recruitment and management solutions, the growth of AI-powered workforce analytics for improving organizational efficiency and decision-making, and the growing adoption of AI TRiSM for reducing bias and enhancing diversity in recruitment processes.

• Lucintel forecasts that, within the type category, on-premise is expected to witness higher growth over the forecast period.
• Within the application category, the large enterprise is expected to witness higher growth.
• In terms of regions, APAC is expected to witness the highest growth over the forecast period.

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Emerging Trends in the AI TRiSM Market

The AI TRiSM market is witnessing several emerging trends that are set to define the future of this market. These trends reflect the growing roles of trust, risk management, and security in AI technologies.

• Risk Assessment Framework Standardization: Organizations are adopting standardized frameworks for measuring the risks of AI. This will enable uniform measurements of AI models that comply with regulations and enhance consumers' confidence in the functioning of AI systems.
• Emphasis on Ethical AI Practices: There is a heightened focus on ethical considerations in AI development. Companies are prioritizing transparency and accountability while initiating practices that can reduce bias and enhance fairness within AI algorithms, thereby boosting public confidence in AI technologies.
• Integration of Security Measures: As the nature of cyber threats evolves, there is a need to integrate strong security measures into AI systems. Companies have been investing heavily in advanced cybersecurity protocols to protect sensitive data and ensure that AI applications are safe, thus offering peace of mind for consumers and regulators alike.
• Collaborative Approaches to AI Governance: There is increasing recognition of the importance of collaboration in AI governance. Governments, academia, and industry players are working together on integrated policies to guide the responsible use of AI and mitigate risks associated with its deployment.
• Implementation of Explainable AI (XAI): With emerging regulatory pressures and customer expectations, explain ability in AI systems is in high demand. By improving transparency, explainable AI allows users to understand how an AI model determines its decisions, thus helping build trust and facilitating proper risk management.

The AI TRiSM market will continue to evolve through standardized practices, ethical concerns, and effective security implementations due to these increasing trends.

Recent Developments in the AI TRiSM Market

Most emerging trends in the AI TRiSM market indicate a collaborative move toward increasing trust levels regarding AI technologies.

• Comprehensive Risk Management Solutions Launch: Many organizations are rolling out integrated AI TRiSM solutions that address specific risk factors, such as data privacy, ethical standards, and compliance with legal regulations. This makes it easier for organizations to navigate the complexities of the AI environment.
• Development of Regulatory Frameworks: Governments are developing regulatory frameworks to guide the deployment and use of AI systems. Their focus is on accountability and transparency to ensure that AI technologies align with societal values and safety considerations.
• Investments in AI Ethics Research: Organizations are investing in research on AI ethics and best practices. Collaboration with academic institutions fosters innovation in the development of ethical AI systems, which addresses public concerns and enhances trust.
• Better User Training Programs: Companies are developing training programs for users to understand AI TRiSM principles and practices properly. This leads to responsible AI usage and empowers users to handle potential risks better.
• New AI Auditing Services: New services have emerged to audit AI systems, ensuring compliance with TRiSM standards. Auditing processes provide organizations with insights into potential vulnerabilities in their AI systems and help them overcome challenges to stay updated on regulatory compliance.

These developments significantly contribute to the AI TRiSM market by promoting responsible practices and increasing trust in AI technologies. As the market matures, innovation in risk management and ethical considerations will drive consumer confidence.

Strategic Growth Opportunities for AI TRiSM Market

The AI TRiSM market offers substantial strategic growth opportunities across several applications. Stakeholders interested in capitalizing on emerging trends and consumer demand should identify these opportunities.

• Healthcare Applications: The reliance on AI in healthcare creates opportunities for AI TRiSM-based solutions concerning patient data security and regulations. Improved trust in AI-driven innovations results from better risk management frameworks applied in healthcare.
• Financial Services: Financial services heavily rely on regulation and have a growing need for AI TRiSM solutions that address compliance and risk assessment. Companies can develop tailored solutions to increase security and reduce risks associated with AI in financial applications.
• Smart Manufacturing: As manufacturers adopt AI technologies, there is a demand for effective risk management solutions. AI TRiSM applications can mitigate the risks of automation and data security, thereby increasing efficiency and safety in operations.
• Retail Sector: Retail is becoming one of the most widely adopted sectors for AI, primarily for personalization in customer experience. Effective AI TRiSM solutions assist retailers in addressing data privacy concerns while providing compliance incentives that foster consumer confidence and loyalty.
• Public Sector Initiatives: Governments will focus on the responsible implementation of AI in public services. AI TRiSM solutions that promote transparency and accountability in government applications can enhance public interests.

These strategic growth opportunities reveal prospects for trust-building and risk mitigation in AI TRiSM solutions across various applications. Healthcare, finance, manufacturing, retail, and public services will be critical focus areas as stakeholders position themselves to compete in the shifting market.

AI TRiSM Market Driver and Challenges

These factors-stemming from technological, economic, and regulatory fronts-shape the AI TRiSM market. Understanding these drivers and challenges is vital for stakeholders interested in navigating this fluid market.

The factors driving the AI TRiSM market include:

• Technological Advancements: The growth in artificial intelligence and machine learning technologies fuels the demand for TRiSM solutions. Organizations are increasingly adopting AI in their operations; thus, there is a heightened need for frameworks that ensure the responsible use and security of AI.
• Regulatory Pressures: Governments and regulatory bodies are imposing restrictions on AI deployments. Consequently, organizations have an ultimate obligation to abide by these rules. Therefore, the adoption of AI TRiSM solutions is driven by the need for enhanced accountability and transparency in usage.
• Consumer Demand for Trust: There is a growing need for trust among data consumers regarding the proper use of AI. Organizations focused on creating trust and transparency are likely to secure customer loyalty, creating opportunities for AI TRiSM solutions that offer competitive advantages.

Challenges in the AI TRiSM market include:

• High Implementation Costs: Implementing AI TRiSM solutions can be costly, particularly for small- and medium-sized enterprises. The challenge lies in balancing budget constraints with the need for security compliance measures.
• Complexity of AI Systems: AI technologies are inherently complex, making it difficult for organizations to assess risks and implement effective TRiSM frameworks. Developing user-friendly solutions that streamline this process is essential.
• Changing Regulatory Landscape: The regulatory landscape for AI is continually evolving, creating uncertainty for organizations. Keeping track of legal changes and updating TRiSM solutions accordingly can be challenging.

These drivers and challenges play a significant role in shaping the AI TRiSM market, generating growth and innovation. Stakeholders should navigate this landscape to leverage new opportunities effectively.

List of AI TRiSM Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. Through these strategies AI TRiSM companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the AI TRiSM companies profiled in this report include-

• SAS Institute
• RSA Security
• Oracle Corporation
• Logicmanager
• Servicenow
• Rapid7
• SAP

AI TRiSM by Segment

The study includes a forecast for the global AI TRiSM market by type, application, and region.

AI TRiSM Market by Type [Analysis by Value from 2018 to 2030]:

• On-Premise
• Cloud

AI TRiSM Market by Application [Analysis by Value from 2018 to 2030]:

• Large Enterprise
• Small & Medium-Sized Enterprise

AI TRiSM Market by Region [Analysis by Value from 2018 to 2030]:

• North America
• Europe
• Asia Pacific
• The Rest of the World

Country Wise Outlook for the AI TRiSM Market

The AI TRiSM (Trust, Risk, and Security Management) market is rapidly evolving, driven by the demand for secure, reliable, and trustworthy AI solutions across industries. As organizations adopt AI technologies, the emergence of frameworks addressing prevalent concerns around trust, risk assessment, and security is intensifying. Recent developments in the U.S., China, Germany, India, and Japan indicate an upward trend in integrating AI with robust risk management practices to enhance compliance, security, and the overall safety of AI systems.

• United States: Major U.S. technology companies are leading the AI TRiSM domain by emphasizing compliance with GDPR regulations in the European Union and CCPA regulations in California. Companies are developing advanced assessment tools to evaluate risks related to bias and other ethical implications of using AI models. Additionally, AI startups are forming partnerships with established firms to create frameworks for the trust and security of AI applications. This demonstrates that U.S. businesses are taking an active lead toward responsible AI development, increasing consumer confidence and regulatory alignment.
• China: China is rapidly advancing in AI TRiSM. The government advocates for rules that enhance the safety and trustworthiness of AI systems. Leading tech players like Baidu and Alibaba are investing in AI risk management frameworks, emphasizing data protection and ethical AI use. The introduction of national standards for AI technologies aims to enhance accountability and transparency. As the market matures, the focus is shifting toward developing AI systems that meet societal needs and security requirements.
• Germany: EU data protection laws significantly influence the German AI TRiSM market. German companies are designing AI products that prioritize data privacy and security while implementing TRiSM frameworks in their operations. There is collaboration between universities, research institutions, and industries to create responsible AI, addressing public concerns about surveillance and the misuse of personal data. Such transparency and accountability position Germany at the forefront of responsible AI standards in Europe.
• India: India is another hotspot for AI TRiSM, with companies, including startups and enterprises, striving to address data privacy and security challenges in AI usage. Companies are increasingly focusing on ethical AI practices, investing in risk management solutions that promote transparency and trustworthiness. The government is also developing regulations to support the ethical use of AI, aligning with India's digital transformation agenda focused on sustainable innovation in the tech sector.
• Japan: Japan's approach to AI emphasizes technological innovation alongside ethical considerations. Companies in Japan adopt TRiSM frameworks as part of their AI strategies. The government targets ethical guidelines for AI adoption and encourages businesses to prioritize security and trust. Research involving academia and industry ensures that Japan remains a leader in responsible AI development on the global stage.

Features of the Global AI TRiSM Market

Market Size Estimates: Ai trism market size estimation in terms of value ($B).

Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.

Segmentation Analysis: Ai trism market size by type, application, and region in terms of value ($B).

Regional Analysis: Ai trism market breakdown by North America, Europe, Asia Pacific, and Rest of the World.

Growth Opportunities: Analysis of growth opportunities in different type, application, and regions for the AI TRiSM market.

Strategic Analysis: This includes M&A, new product development, and competitive landscape of the AI TRiSM market.

Analysis of competitive intensity of the industry based on Porter's Five Forces model.

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This report answers following 11 key questions:

• Q.1. What are some of the most promising, high-growth opportunities for the AI TRiSM market by type (on-premise and cloud), application (large enterprise and small & medium-sized enterprise), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
• Q.2. Which segments will grow at a faster pace and why?
• Q.3. Which region will grow at a faster pace and why?
• Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
• Q.5. What are the business risks and competitive threats in this market?
• Q.6. What are the emerging trends in this market and the reasons behind them?
• Q.7. What are some of the changing demands of customers in the market?
• Q.8. What are the new developments in the market? Which companies are leading these developments?
• Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
• Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
• Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?
• Market Report

Table of Contents

1. Executive Summary

2. Global AI TRiSM Market : Market Dynamics

• 2.1: Introduction, Background, and Classifications
• 2.2: Supply Chain
• 2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2018 to 2030

• 3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
• 3.2. Global AI TRiSM Market Trends (2018-2023) and Forecast (2024-2030)
• 3.3: Global AI TRiSM Market by Type
  • 3.3.1: On-Premise
  • 3.3.2: Cloud
• 3.4: Global AI TRiSM Market by Application
  • 3.4.1: Large Enterprise
  • 3.4.2: Small & Medium-Sized Enterprise

4. Market Trends and Forecast Analysis by Region from 2018 to 2030

• 4.1: Global AI TRiSM Market by Region
• 4.2: North American AI TRiSM Market
  • 4.2.1: North American AI TRiSM Market by Type: On-Premise and Cloud
  • 4.2.2: North American AI TRiSM Market by Application: Large Enterprise and Small & Medium-Sized Enterprise
• 4.3: European AI TRiSM Market
  • 4.3.1: European AI TRiSM Market by Type: On-Premise and Cloud
  • 4.3.2: European AI TRiSM Market by Application: Large Enterprise and Small & Medium-Sized Enterprise
• 4.4: APAC AI TRiSM Market
  • 4.4.1: APAC AI TRiSM Market by Type: On-Premise and Cloud
  • 4.4.2: APAC AI TRiSM Market by Application: Large Enterprise and Small & Medium-Sized Enterprise
• 4.5: ROW AI TRiSM Market
  • 4.5.1: ROW AI TRiSM Market by Type: On-Premise and Cloud
  • 4.5.2: ROW AI TRiSM Market by Application: Large Enterprise and Small & Medium-Sized Enterprise

5. Competitor Analysis

• 5.1: Product Portfolio Analysis
• 5.2: Operational Integration
• 5.3: Porter's Five Forces Analysis

6. Growth Opportunities and Strategic Analysis

• 6.1: Growth Opportunity Analysis
  • 6.1.1: Growth Opportunities for the Global AI TRiSM Market by Type
  • 6.1.2: Growth Opportunities for the Global AI TRiSM Market by Application
  • 6.1.3: Growth Opportunities for the Global AI TRiSM Market by Region
• 6.2: Emerging Trends in the Global AI TRiSM Market
• 6.3: Strategic Analysis
  • 6.3.1: New Product Development
  • 6.3.2: Capacity Expansion of the Global AI TRiSM Market
  • 6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global AI TRiSM Market
  • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

• 7.1: SAS Institute
• 7.2: RSA Security
• 7.3: Oracle Corporation
• 7.4: Logicmanager
• 7.5: Servicenow
• 7.6: Rapid7
• 7.7: SAP