한글목차

세계 AI+RAP 시장의 미래는 통신/IT, 의료, 소매업, 제조업 등 각 시장에서 기회로 인해 유망한 것으로 전망되고 있습니다. 세계 AI+RAP 시장은 2025-2031년 연평균 복합 성장률(CAGR) 14.4%로 성장할 것으로 예상됩니다. 이 시장의 주요 촉진요인은 산업 전반에서 AI 기반 위험 평가 및 예측 솔루션에 대한 수요 증가, 사이버 위협의 복잡성으로 인해 AI 기반 사이버 보안 위험 평가 툴에 대한 수요 증가, 규제 요건 증가로 인해 AI 기반 위험 분석 및 예방 기술 채택이 증가하고 있습니다. AI를 활용한 위험 분석 및 예방 기술 채택이 증가하고 있습니다.

• Lucintel의 예측에 따르면 유형별로는 전문 서비스가 예측 기간 중 높은 성장세를 보일 것으로 예상됩니다.
• 용도별로는 통신/IT가 가장 높은 성장이 예상됩니다.
• 지역별로는 아시아태평양이 예측 기간 중 가장 높은 성장을 보일 것으로 예상됩니다.

AI+RAP 시장의 전략적 성장 기회

AI+RAP는 새로운 기술과 효율적인 솔루션에 대한 높은 수요에 힘입어 용도 전반에 걸쳐 다양한 전략적 성장 기회가 있는 흥미로운 시장을 제시하고 있습니다. 이러한 기회는 이해관계자들이 시장에서의 입지를 강화하는 데 도움이 될 수 있습니다.

• 금융 서비스 자동화: 금융 서비스 산업은 빠르게 변화하고 있으며, AI+RAP 기술을 도입하여 대출 승인, 컴플라이언스 점검, 고객 서비스에서 자동화된 프로세스를 활용하고 있습니다. 자동화를 통해 처리 시간을 최소화하고 운영 비용을 절감하며 고객 서비스를 개선할 수 있습니다.
• 의료 관리: AI+RAP 서비스는 일반적으로 의료에 적용되어 예약, 청구, 데이터 입력 등의 관리 업무를 자동화합니다. 이를 통해 의료진은 환자 진료에 더 많은 시간을 할애할 수 있고, 실수를 줄여 업무 효율을 높일 수 있습니다.
• 공급망 관리: AI+RAP 기술은 공급망 관리의 재고 관리와 주문 처리를 혁신적으로 변화시킵니다. 경로를 최적화하고, 지연을 최소화하며, 비용을 절감하고, 서비스 제공을 개선합니다.
• 고객관계관리(CRM) : AI+RAP 기술은 리드 생성, 후속 조치, 고객 지원을 자동화하여 CRM 시스템을 강화합니다. 이를 통해 기업은 고객 맞춤형 경험을 제공하고, 고객과의 상호작용을 강화하며, 판매 전환율을 높일 수 있습니다.
• 인사 자동화: AI+RAP 솔루션은 채택, 입사, 직원 관리 프로세스를 위해 인사 부서에 도입됩니다. 그 결과, 인사 업무가 더욱 간소화되고, 후보자의 경험 및 직원 유지율을 향상시킬 수 있습니다.

금융, 의료, 공급망, CRM, HR 등의 용도에 대한 AI+RAP 시장의 전략적 성장 기회는 효율성과 혁신을 효과적으로 추진하기 위해 탐구해야 할 부분이 많습니다.

AI+RAP 시장 성장 촉진요인 및 과제

AI+RAP 시장은 다양한 기술적, 경제적, 규제적 요인의 영향을 받고 있습니다. 주요 이해관계자들은 이러한 변화하는 환경의 촉진요인과 과제를 이해하는 데 관여하고 있습니다.

AI+RAP 시장을 촉진하는 요인은 다음과 같습니다. :

• 기술 발전: AI와 RPA 기술의 급속한 혁신으로 기능, 효율성, 확장성이 향상되고 복잡한 프로세스의 자동화가 가능해져 업무 효율성이 향상됩니다.
• 업무 효율화에 대한 수요 증가: 모든 산업에서 업무 최적화 및 비용 효율성을 향상시킬 수 있는 솔루션을 찾고 있습니다. 조직이 자동화를 통한 효율성 향상 가능성을 인식함에 따라 AI+RAP 솔루션에 대한 수요가 증가하고 있습니다.
• 정부 지원책: 많은 정부가 자금 지원 및 촉진 정책을 통해 AI 기술 도입을 촉진하고 있습니다. 규제를 통한 지원은 AI+RAP 솔루션에 대한 투자를 촉진하고 시장의 혁신을 촉진합니다.

AI+RAP 시장이 해결해야 할 과제는 다음과 같습니다. :

• 도입 비용 증가: AI+RAP 솔루션의 도입에는 막대한 자본 투자가 필요하므로 소규모 조직이 접근하기 어려워 광범위한 도입과 혁신을 저해할 수 있습니다.
• 데이터 프라이버시 문제: 데이터베이스 솔루션에 대한 의존도가 높아짐에 따라 데이터 프라이버시 및 보안 문제를 해결해야 할 필요성이 커지고 있습니다. 기업은 데이터 활용에 대한 규제와 사회적 우려를 해결해야 하며, 이는 AI 도입을 제한할 수 있습니다.
• 숙련된 인재 부족: 고급 AI+RAP 솔루션을 설계하고 구현할 수 있는 기술을 가진 전문가가 부족합니다. 이 부족은 시장의 혁신과 성장을 제한하고 있습니다.

이러한 촉진요인과 과제의 상호작용이 AI+RAP 시장을 형성하고 혁신과 성장을 정의합니다. 주요 촉진요인을 활용하면 이해관계자들은 새로운 기회를 포착하고 시장 환경을 탐색할 수 있습니다.

목차

제1장 개요

제2장 세계의 AI+RAP 시장 : 시장 역학

• 서론, 배경, 분류
• 공급망
• 업계의 촉진요인과 과제

제3장 시장 동향과 예측 분석(2019-2031년)

• 거시경제 동향(2019-2024년)과 예측(2025-2031년)
• 세계의 AI+RAP 시장 동향(2019-2024년)과 예측(2025-2031년)
• 세계의 AI+RAP 시장 : 유형별
  • 전문 서비스
  • 트레이닝 서비스
• 세계의 AI+RAP 시장 : 용도별
  • 통신 /IT
  • 의료
  • 소매업
  • 제조업
  • 기타

제4장 지역별 시장 동향과 예측 분석(2019-2031년)

• 세계의 AI+RAP 시장 : 지역별
• 북미의 AI+RAP 시장
• 유럽의 AI+RAP 시장
• 아시아태평양의 AI+RAP 시장
• 기타 지역의 AI+RAP 시장

제5장 경쟁 분석

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

제6장 성장 기회와 전략 분석

• 성장 기회 분석
  • 세계의 AI+RAP 시장의 성장 기회 : 유형별
  • 세계의 AI+RAP 시장의 성장 기회 : 용도별
  • 세계의 AI+RAP 시장의 성장 기회 : 지역별
• 세계의 AI+RAP 시장의 새로운 동향
• 전략적 분석
  • 신제품 개발
  • 세계의 AI+RAP 시장의 생산능력 확대
  • 세계의 AI+RAP 시장에서의 기업인수합병(M&A), 합병사업
  • 인증과 라이선싱

제7장 주요 기업의 개요

• Intellibot
• Edgeverve
• Uipath
• Kryon
• Larcai
• Automation Anywhere
• Blue Prism

영문목차

The future of the global AI+RAP market looks promising with opportunities in the telecom/IT, healthcare, retail, and manufacturing markets. The global AI+RAP market is expected to grow with a CAGR of 14.4% from 2025 to 2031. The major drivers for this market are an increase in demand for AI-driven risk assessment and prediction solutions across industries, rising complexity of cyber threats fueling demand for AI-enhanced cybersecurity risk assessment tools, and growth of regulatory requirements driving adoption of AI-powered risk analysis and prevention technologies.

• Lucintel forecasts that, within the type category, the professional service is expected to witness higher growth over the forecast period.
• Within the application category, telecom/IT is expected to witness the highest 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+RAP Market

The AI+RAP market is transforming due to many emerging trends that are changing business operations and enhancing efficiencies. These trends have emerged because advancements are one step ahead in interlinking AI technologies with RPA solutions, which are bound to bring innovation and competitiveness across all sectors.

• Intelligent automation: The marriage between AI and RPA is driving intelligent automation that boosts process efficiencies. Organizations are adopting AI capabilities to identify and analyze data, make decisions, and optimize workflow management, resulting in major cost savings and faster processing times.
• Enhanced Data Analytics: AI+RAP technologies are being used today to understand advanced data analytics. Organizations bring large sets of data, making operations more action-oriented while improving customer experience. This creates a data-driven culture within organizations.
• Cloud-based solutions: The shift to cloud computing is promoting the integration of AI+RAP technologies. Cloud-based platforms enable enterprises to scale up automation efforts, reduce infrastructure costs, and improve access; these are the three most critical factors for firms to smoothly launch and implement AI+RAP solutions.
• Focus on Cybersecurity: As automation becomes the order of the day, the focus has shifted toward cybersecurity and methodologies. Organizations are embedding AI-driven security solutions in their RPA frameworks to protect sensitive data and ensure regulatory compliance, enhancing their overall security posture.
• Workforce Collaboration: AI+RAP fosters collaboration between humans and machines. Organizations are developing hybrid forms of work where AI systems assist in decision-making and repetitive tasks, freeing human workers for more complex, strategic functions.

As such, these emerging trends are significantly reshaping the AI+RAP market, driving efficiency, and enhancing operational capabilities across various sectors. Organizations can seize this opportunity by focusing on intelligent automation, data analytics, cloud solutions, cybersecurity, and workforce collaboration, using AI+RAP technologies to lead the competition.

Recent Developments in the AI+RAP Market

Recent AI+RAP developments in the market reveal how quickly it is integrating AI and automation across various industries. More companies are investing in these solutions to boost productivity and operational efficiency. As AI+RAP technology develops, business processes continue to be revamped, opening new opportunities for innovation.

• AI-Based RPA Tools: The latest RPA tools are equipped with AI. They learn from data and adapt over time, making automation smart decision-making and enabling the completion of more complex tasks with maximum efficiency.
• Integration of Natural Language Processing: NLP allows organizations to automate customer interactions effectively through AI+RAP solutions. This results in effective chatbots and virtual assistants, improving customer service with streamlined communication while enhancing user experience.
• Real-Time Analytics Capabilities: New AI+RAP solutions now contain real-time analytics capabilities. This allows organizations to monitor and measure performance metrics and operational data in real-time, enabling dynamic decision-making and changes in workflows, thereby increasing overall efficiency.
• Growth of No-Code Platforms: No-code platforms in the AI+RAP market democratize access to automation technologies, enabling business users without deep programming knowledge to create and manage automation workflows, empowering teams to innovate quickly and reducing dependency on IT.
• An Emphasis on Compliance and Ethics: In synchronism with the boom in AI technologies are advancements in incorporating compliance and ethics in AI+RAP implementations. Organizations require transparency and fairness in AI algorithms, ensuring that automation does not violate regulatory standards.

These developments have significantly affected the AI+RAP market by enhancing automation capabilities and services, along with better user experience and innovation. As more organizations adopt advanced forms, they can streamline operations to gain greater efficiency.

Strategic Growth Opportunities for AI+RAP Market

AI+RAP presents an exciting market with various strategic growth opportunities across applications, driven by new technology and high demand for efficient solutions. These opportunities may help stakeholders enhance their market presence.

• Financial Services Automation: The financial services industry is rapidly changing and embracing AI+RAP technologies, utilizing automated processes in loan approval, compliance checks, and customer service. Automation minimizes processing time, cuts operational costs, and improves customer service.
• Healthcare Administration: AI+RAP services are commonly applied in healthcare to automate administrative tasks, such as scheduling appointments, billing, and data entry. This allows healthcare providers more time to care for patients and reduces errors, thereby increasing operational efficiency.
• Supply Chain Management: AI+RAP technologies transform inventory management and order processing in supply chain management. They optimize routes, minimize delays, save costs, and improve service delivery.
• Customer Relationship Management (CRM): AI+RAP technologies enhance CRM systems by automating lead generation, follow-ups, and customer support. This allows businesses to deliver tailored experiences, enhance customer interactions, and boost sales conversions.
• HR Automation: AI+RAP solutions are implemented in HR for recruitment, onboarding, and employee management processes. As a result, HR operations become more streamlined, improving candidate experience and employee retention rates.

The strategic growth opportunities in the AI+RAP market regarding applications such as finance, healthcare, supply chain, CRM, and HR have much to explore to effectively drive efficiency and innovation.

AI+RAP Market Driver and Challenges

The AI+RAP market is influenced by various technological, economic, and regulatory factors. Critical stakeholders are involved in understanding the drivers and challenges within this changing landscape.

The factors driving the AI+RAP market include:

• Technological Advancements: Rapid innovation in AI and RPA technologies, with improved functionalities, efficiency, and scalability, enables the automation of complex processes, enhancing operational effectiveness.
• Increasing Demand for Operational Efficiency: All industries seek solutions to optimize operations and improve cost-efficiency. The demand for AI+RAP solutions is growing as organizations recognize the potential for efficiency gains through automation.
• Supportive Government Initiatives: Many governments promote AI technology adoption through funding and facilitating policies. Regulatory support encourages investments in AI+RAP solutions, driving innovation in the market.

Challenges in the AI+RAP market include:

• Greater Implementation Cost: Deploying AI+RAP solutions may require substantial capital investment, making them inaccessible for smaller organizations and stifling broader adoption and innovation.
• Data Privacy Concerns: Increased reliance on data-driven solutions raises the need to address issues around data privacy and security. Companies must navigate regulations and public concerns regarding data usage, which may limit AI adoption.
• Lack of Skilled Talent: There is a deficit of professionals with the skills to design and implement advanced AI+RAP solutions. This shortage limits innovation and growth in the market.

The interplay between these drivers and challenges shapes the AI+RAP market, defining innovation and growth. Leveraging key drivers enables stakeholders to navigate the market landscape while capturing emerging opportunities.'

List of AI+RAP 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+RAP companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the AI+RAP companies profiled in this report include-

• Intellibot
• Edgeverve
• Uipath
• Kryon
• Larcai
• Automation Anywhere
• Blue Prism

AI+RAP by Segment

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

AI+RAP Market by Type [Analysis by Value from 2019 to 2031]:

• Professional Service
• Training Services

AI+RAP Market by Application [Analysis by Value from 2019 to 2031]:

• Telecom/IT
• Healthcare
• Retail
• Manufacturing
• Others

AI+RAP Market by Region [Analysis by Value from 2019 to 2031]:

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

Country Wise Outlook for the AI+RAP Market

The growth in the AI+RAP market is transformational, driven by advances in automation technologies and the rise in AI adoption across industries. Key countries, such as the United States, China, Germany, India, and Japan, are making significant strides in integrating AI with RPA solutions to improve operational efficiencies and decision-making processes. This change represents a global shift toward smarter, more automated workflows, transforming businesses and their operations as value drivers.

• United States: Major US-based tech giants are spearheading innovation in AI+RAP, leveraging machine learning with robotic process automation. Businesses are using these technologies to create better workflows, reduce costs, and improve customer experience. Notably, the ability to act immediately with real-time insights enhances decision-making through advanced data analytics capabilities. Government programs promoting AI research foster greater innovation and strengthen the country's position in the AI+RAP landscape.
• China: China is aggressively advancing its AI+RAP capabilities, supported by government investment. The country focuses on smart manufacturing and urban management, enhancing efficiency and productivity through AI+RAP. Banks and logistics companies are adopting these technologies to improve delivery times and services, fundamentally transforming traditional industries and positioning China as a leader in the global AI+RAP market.
• Germany: Germany is at the forefront of integrating AI+RAP in manufacturing and engineering, promoting Industry 4.0 initiatives that incorporate AI technologies and automate production lines. Innovation is fostered through collaborations between industry leaders and research institutions, with the government ensuring ethical AI use, advancing Germany's position in the AI+RAP space.
• India: India is booming with AI+RAP technologies, driven by a growing startup ecosystem and increased digitalization. Companies are encouraged to adopt these solutions to enhance finance, healthcare, and e-commerce processes. Government initiatives support AI adoption, compelling businesses to invest in automation, creating jobs in technology-driven areas, and positioning India as an emerging leader in the global AI+RAP market.
• Japan: Japan aims to develop AI+RAP solutions through technological expertise, particularly in robotics and automation. The country integrates AI with RPA solutions in manufacturing, healthcare, and logistics, improving productivity and efficiency. Japanese enterprises innovate using AI-driven analytics, enhancing operational decisions and resource allocation. Government support for research and development is essential for ensuring Japan remains a strong player in the AI+RAP market.

Features of the Global AI+RAP Market

Market Size Estimates: AI+RAP market size estimation in terms of value ($B).

Trend and Forecast Analysis: Market trends (2019 to 2024) and forecast (2025 to 2031) by various segments and regions.

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

Regional Analysis: AI+RAP 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+RAP market.

Strategic Analysis: This includes M&A, new product development, and competitive landscape of the AI+RAP 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+RAP market by type (professional service and training services), application (telecom/IT, healthcare, retail, manufacturing, and others), 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?

Table of Contents

1. Executive Summary

2. Global AI+RAP 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 2019 to 2031

• 3.1. Macroeconomic Trends (2019-2024) and Forecast (2025-2031)
• 3.2. Global AI+RAP Market Trends (2019-2024) and Forecast (2025-2031)
• 3.3: Global AI+RAP Market by Type
  • 3.3.1: Professional Service
  • 3.3.2: Training Services
• 3.4: Global AI+RAP Market by Application
  • 3.4.1: Telecom/IT
  • 3.4.2: Healthcare
  • 3.4.3: Retail
  • 3.4.4: Manufacturing
  • 3.4.5: Others

4. Market Trends and Forecast Analysis by Region from 2019 to 2031

• 4.1: Global AI+RAP Market by Region
• 4.2: North American AI+RAP Market
  • 4.2.1: North American AI+RAP Market by Type: Professional Service and Training Services
  • 4.2.2: North American AI+RAP Market by Application: Telecom/IT, Healthcare, Retail, Manufacturing, and Others
• 4.3: European AI+RAP Market
  • 4.3.1: European AI+RAP Market by Type: Professional Service and Training Services
  • 4.3.2: European AI+RAP Market by Application: Telecom/IT, Healthcare, Retail, Manufacturing, and Others
• 4.4: APAC AI+RAP Market
  • 4.4.1: APAC AI+RAP Market by Type: Professional Service and Training Services
  • 4.4.2: APAC AI+RAP Market by Application: Telecom/IT, Healthcare, Retail, Manufacturing, and Others
• 4.5: ROW AI+RAP Market
  • 4.5.1: ROW AI+RAP Market by Type: Professional Service and Training Services
  • 4.5.2: ROW AI+RAP Market by Application: Telecom/IT, Healthcare, Retail, Manufacturing, and Others

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

7. Company Profiles of Leading Players

• 7.1: Intellibot
• 7.2: Edgeverve
• 7.3: Uipath
• 7.4: Kryon
• 7.5: Larcai
• 7.6: Automation Anywhere
• 7.7: Blue Prism