한글목차

세계 AIaaS(AI as a Service) 시장의 미래는 통신, 자동차, 의료, 에너지 시장에서의 기회가 유망합니다. 세계 AIaaS(AI as a Service) 시장 규모는 2025-2031년 36.8%의 연평균 복합 성장률(CAGR)로 2031년까지 약 1,068억 달러에 달할 것으로 예측됩니다. 이 시장의 주요 촉진요인은 AI의 빠른 기술 발전 속도, 기존 시스템과의 통합, 확장성과 유연성을 제공하는 AIaaS입니다.

• Lucintel의 예측에 따르면, 유형별로는 챗봇 및 디지털 어시스턴스 부문이 예측 기간 동안 가장 높은 성장세를 보일 것으로 예상됩니다.
• 용도별로는 통신이 예측 기간 동안 가장 높은 성장세를 보일 것으로 예상됩니다.
• 지역별로는 아시아태평양이 예측 기간 동안 가장 높은 성장세를 보일 것으로 예상됩니다.

AIaaS(AI as a Service) 시장의 전략적 성장 기회

AIaaS(AI as a Service) 시장은 다양한 응용 분야에서 몇 가지 전략적 성장 기회를 제공합니다. 이러한 기회를 활용하면 시장 확장을 촉진하고 새로운 비즈니스의 길을 열 수 있습니다.

• 헬스케어 분야에서의 확장: 진단, 환자 관리, 개인 맞춤형 의료 등 헬스케어 분야에서의 서비스형 AI는 큰 잠재력을 가지고 있으며, AI 솔루션은 환자의 예후를 개선하고 헬스케어 프로세스를 간소화할 수 있습니다.
• 금융 서비스 분야에서의 성장: 부정행위 감지, 리스크 관리, 고객 서비스 등 금융 분야에서 AI의 중요성이 커지고 있으며, AI를 활용하면 금융 업무를 강화하고 보안을 강화할 수 있습니다.
• 스마트시티 솔루션 개발: 서비스형 AI는 교통 관리, 에너지 효율, 공공 안전 등 스마트시티 솔루션 개발에 활용되고 있습니다. 이러한 용도는 도시 생활과 지속가능성을 향상시키는 것을 목표로 합니다.
• 이커머스의 발전: 서비스로서의 AI는 개인화된 추천, 재고 관리, 고객 지원을 가능하게 함으로써 이커머스에 변화를 가져오고 있습니다. 이러한 발전은 쇼핑 경험을 개선하고 운영을 최적화하는 데 도움이 될 수 있습니다.
• IoT 기기와의 통합: 서비스형 AI와 IoT 기기와의 통합은 실시간 분석, 예지보전, 자동화 강화의 기회를 제공합니다. 이러한 통합은 다양한 산업에 걸쳐 폭넓은 적용을 지원합니다.

이러한 전략적 성장 기회는 주요 부문에서 서비스로서의 AI 활용이 확대되고 있음을 보여줍니다. 이러한 기회를 활용하면 기업은 혁신을 촉진하고, 효율성을 개선하며, 경쟁 우위를 확보할 수 있습니다.

AIaaS(AI as a Service) 시장 활성화 요인 및 과제

AIaaS(AI as a Service) 시장은 기술 발전, 경제적 요인, 규제 문제 등 다양한 촉진요인과 과제에 영향을 받고 있습니다. 이러한 요소들을 이해하는 것은 시장을 효과적으로 탐색하는 데 있어 매우 중요합니다.

AIaaS(AI as a Service) 시장 성장 촉진요인은 다음과 같습니다:

• 기술 발전: 머신러닝, 자연어 처리와 같은 AI 기술 혁신이 서비스로서의 AI 성장을 가속하고 있습니다. 이러한 발전은 AI 솔루션의 기능과 응용을 강화합니다.
• 클라우드 도입 증가: 클라우드 컴퓨팅의 확산이 AIaaS의 확장을 촉진하고 있습니다. 클라우드 기반 솔루션은 확장성과 유연성을 제공하여 기업이 AI 기술을 쉽게 도입할 수 있도록 돕습니다.
• 자동화 수요 증가: 각 산업 분야의 프로세스 자동화에 대한 요구가 서비스형 AI 도입을 촉진하고 있으며, AI 솔루션은 기업의 효율성 향상, 비용 절감, 업무 간소화를 돕습니다.
• AI 연구에 대한 투자: AI 연구개발에 대한 투자 증가는 서비스형 AI의 혁신을 촉진하고 있습니다. 자금 조달은 새로운 기술과 용도의 창출을 지원하고 시장 성장을 가속합니다.
• 데이터 분석에 대한 집중: 고급 데이터 분석에 대한 수요는 서비스형 AI의 주요 원동력입니다. 기업들은 AI를 활용하여 대량의 데이터에서 통찰력을 얻고, 의사결정과 전략 수립을 개선하기 위해 AI를 활용하고 있습니다.

AIaaS(AI as a Service) 시장의 과제는 다음과 같습니다:

• 데이터 프라이버시 문제: 데이터 프라이버시 및 보안 확보는 AIaaS 제공업체에게 큰 과제입니다. 규제 준수와 기밀 정보 보호는 중요한 과제입니다.
• 높은 도입 비용: 서비스 솔루션으로서의 AI 도입 비용은 특히 중소기업에 있어서는 높은 비용으로 작용할 수 있습니다. 투자 대비 효과를 높이면서 이러한 비용을 관리하는 것이 과제입니다.
• 인력 부족: AI 분야에는 숙련된 전문가가 부족하여 서비스 솔루션으로서의 AI 개발 및 배포에 영향을 미칠 수 있습니다. 이러한 인력 부족을 해결하는 것은 시장 성장에 매우 중요합니다.

이러한 촉진요인과 과제는 AIaaS(AI as a Service) 시장을 형성하고 그 성장과 발전에 영향을 미치고 있습니다. 이러한 요인들을 효과적으로 해결하는 것은 시장의 기회를 활용하고 장애물을 극복하기 위해 필수적입니다.

목차

제1장 주요 요약

제2장 세계 AIaaS(AI as a Service) 시장 : 시장 역학

• 서론, 배경, 분류
• 공급망
• 업계 촉진요인과 과제

제3장 시장 동향과 예측 분석(2019년-2031년)

• 거시경제 동향(2019년-2024년)과 예측(2025년-2031년)
• 세계의 AIaaS(AI as a Service) 시장 동향(2019년-2024년)과 예측(2025년-2031년)
• 세계의 AIaaS(AI as a Service) 시장 : 유형별
  • 챗봇 및 디지털 어시스턴스
  • 인지 컴퓨팅 API
  • 머신러닝 프레임워크
• 세계의 AIaaS(AI as a Service) 시장 : 용도별
  • 통신
  • 자동차
  • 의료
  • 에너지
  • 기타

제4장 시장 동향과 예측 분석 : 지역별(2019년-2031년)

• 세계의 AIaaS(AI as a Service) 시장 : 지역별
• 북미의 AIaaS(AI as a Service) 시장
• 유럽의 AIaaS(AI as a Service) 시장
• 아시아태평양의 AIaaS(AI as a Service) 시장
• 기타 지역의 AIaaS(AI as a Service) 시장

제5장 경쟁 분석

• 제품 포트폴리오 분석
• 운영 통합
• Porter의 Five Forces 분석

제6장 성장 기회와 전략 분석

• 성장 기회 분석
  • 세계의 AIaaS(AI as a Service) 시장 성장 기회 : 유형별
  • 세계의 AIaaS(AI as a Service) 시장 성장 기회 : 용도별
  • 세계의 AIaaS(AI as a Service) 시장 성장 기회 : 지역별
• 세계 AIaaS(AI as a Service) 시장의 새로운 동향
• 전략 분석
  • 신제품 개발
  • 세계의 AIaaS(AI as a Service) 시장 캐파시티 확대
  • 세계의 AIaaS(AI as a Service) 시장에서의 인수합병(M&A) 및 합작투자(JV)
  • 인증 및 라이선싱

제7장 주요 기업 개요

• FICO
• Folio3
• Google Cloud
• lBM
• lntel Corporation
• Monkey LearnOracle
• Salesforce

영문목차

The future of the global AI as a service market looks promising with opportunities in the communication, automobile, medical, and energy markets. The global AI as a service market is expected to reach an estimated $106.8 billion by 2031 with a CAGR of 36.8% from 2025 to 2031. The major drivers for this market are the rapid pace of technological advancements in AI, integration with existing systems, and AI as a service that offers scalability and flexibility.

• Lucintel forecasts that, within the type category, the chatbot & digital assistance segment is expected to witness the highest growth over the forecast period.
• Within the application category, communication is expected to witness the highest growth over the forecast period.
• 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 as a Service Market

The AI as a service market is witnessing several transformative trends, shaping its future landscape. These trends reflect the growing adoption and innovation in AI technologies, influencing various industry applications.

• Increased Adoption of AI-Driven Analytics: Companies are increasingly utilizing AI as a service for advanced data analytics, enabling better decision-making and insights. This trend is driven by the need for real-time data processing and predictive analytics to enhance business operations.
• Growth of AI-Powered Automation: AI as a service is being leveraged to automate repetitive tasks across industries, leading to improved efficiency and reduced operational costs. Automation in customer service, HR processes, and supply chain management is becoming more prevalent.
• Expansion into Edge AI: The integration of AI as a service with edge computing is growing, allowing for real-time data processing at the edge of networks. This trend supports applications requiring low-latency responses, such as autonomous vehicles and IoT devices.
• Focus on AI Ethics and Governance: There is a growing emphasis on ethical AI practices and governance frameworks within AI as a service offering. Companies are prioritizing transparency, fairness, and accountability in AI systems to address regulatory concerns and build trust.
• Development of Customizable AI Solutions: AI as a service providers are offering more customizable and flexible AI solutions to cater to specific industry needs. This trend allows businesses to tailor AI applications to their unique requirements and optimize performance.

These trends are reshaping the AI as a service market by enhancing data analytics, increasing automation, and integrating ethical practices. The focus on customization and edge computing is driving innovation and expanding the applications of AI as a service.

Recent Developments in the AI as a Service Market

Recent key developments in the AI as a service market are driving technological advancements and broadening application areas. These developments reflect the dynamic nature of the market and its growing impact on various industries.

• Launch of New AI Platforms: Major tech companies have launched advanced AI platforms offering enhanced capabilities in machine learning, data analysis, and natural language processing. These platforms are designed to support a wide range of business needs and drive innovation.
• Integration of AI with Cloud Computing: AI as a service is increasingly being integrated with cloud computing services, providing scalable and flexible AI solutions. This integration allows businesses to access powerful AI tools without the need for extensive infrastructure investments.
• Advancements in AI Model Training: Improvements in AI model training techniques are enabling more accurate and efficient AI systems. These advancements are reducing training times and improving the performance of AI models across various applications.
• Expansion of AI as a service into New Sectors: AI as a service providers are expanding their offerings into new sectors such as healthcare, finance, and logistics. This expansion is driven by the growing demand for AI solutions that address industry-specific challenges and opportunities.
• Enhancement of Security Features: There is a focus on enhancing security features within AI as a service solution to protect data and ensure compliance with regulations. These enhancements include advanced encryption, access controls, and threat detection mechanisms.

These developments are significantly impacting the AI as a service market by enhancing platform capabilities, expanding sector applications, and improving security. The market is evolving rapidly, driven by technological advancements and growing demand for AI solutions.

Strategic Growth Opportunities for AI as a Service Market

The AI as a service market presents several strategic growth opportunities across various applications. Leveraging these opportunities can drive market expansion and create new business avenues.

• Expansion in Healthcare Applications: There is significant potential for AI as a service in healthcare, including diagnostics, patient management, and personalized medicine. AI solutions can improve patient outcomes and streamline healthcare processes.
• Growth in Financial Services: AI as a service is becoming increasingly important in the financial sector for fraud detection, risk management, and customer service. Leveraging AI can enhance financial operations and improve security.
• Development of Smart City Solutions: AI as a service is being used to develop smart city solutions, including traffic management, energy efficiency, and public safety. These applications are aimed at improving urban living and sustainability.
• Advancement in E-Commerce: AI as a service is transforming e-commerce by enabling personalized recommendations, inventory management, and customer support. These advancements can enhance the shopping experience and optimize operations.
• Integration with IoT Devices: The integration of AI as a service with IoT devices presents opportunities for real-time analytics, predictive maintenance, and enhanced automation. This integration supports a wide range of applications across various industries.

These strategic growth opportunities highlight the expanding applications of AI as a service across key sectors. By leveraging these opportunities, businesses can drive innovation, improve efficiency, and achieve competitive advantages.

AI as a Service Market Driver and Challenges

The AI as a service market is influenced by various drivers and challenges, including technological advancements, economic factors, and regulatory issues. Understanding these elements is crucial for navigating the market effectively.

The factors responsible for driving the AI as a service market include:

• Technological Advancements: Innovations in AI technologies, including machine learning and natural language processing, are driving the growth of AI as a service. These advancements enhance the capabilities and applications of AI solutions.
• Increased Cloud Adoption: The growing adoption of cloud computing is supporting the expansion of AI as a service. Cloud-based solutions provide scalability and flexibility, making it easier for businesses to implement AI technologies.
• Rising Demand for Automation: The need for process automation across industries is driving the adoption of AI as a service. AI solutions help businesses improve efficiency, reduce costs, and streamline operations.
• Investment in AI Research: Increased investment in AI research and development is fueling innovation in AI as a service. Funding supports the creation of new technologies and applications, driving market growth.
• Focus on Data Analytics: The demand for advanced data analytics is a key driver for AI as a service. Businesses are leveraging AI to gain insights from large volumes of data, improving decision-making and strategic planning.

Challenges in the AI as a service market are:

• Data Privacy Concerns: Ensuring data privacy and security is a major challenge for AI as a service provider. Compliance with regulations and the protection of sensitive information are critical issues.
• High Implementation Costs: The cost of implementing AI as a service solution can be high, particularly for small and medium-sized enterprises. Managing these costs while achieving a return on investment is a challenge.
• Talent Shortage: There is a shortage of skilled professionals in the AI field, which can impact the development and deployment of AI as a service solution. Addressing this talent gap is crucial for market growth.

These drivers and challenges are shaping the AI as a service market, influencing its growth and development. Addressing these factors effectively is essential for leveraging opportunities and overcoming obstacles in the market.

List of AI as a Service Companies

Companies in the market compete based on 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 as a service companies cater to increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the AI as a service companies profiled in this report include-

• FICO
• Folio3
• Google Cloud
• lBM
• lntel Corporation
• Monkey LearnOracle
• Salesforce

AI as a Service by Segment

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

AI as a Service Market by Type [Analysis by Value from 2019 to 2031]:

• Chatbots & Digital Assistance
• Cognitive Computing API
• Machine Learning Framework

AI as a Service Market by Application [Analysis by Value from 2019 to 2031]:

• Communication
• Automobile
• Medical
• Energy
• Others

AI as a Service 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 as a Service Market

Major players in the market are expanding their operations and forming strategic partnerships to strengthen their positions. The following highlights recent developments by major AI as a service producer in key regions: the USA, China, India, Japan, and Germany.

• United States: The US is leading in AI as a service with major tech giants like Google, Amazon, and Microsoft expanding their AI platforms. These advancements include the launch of new AI tools for business analytics, automation, and personalized customer experiences, leveraging large-scale data and cloud computing capabilities.
• China: China is making substantial investments in AI as a service to bolster its digital economy. Companies like Alibaba and Baidu are developing advanced AI solutions, focusing on integrating AI into e-commerce, smart city projects, and healthcare, driven by government support and a growing tech ecosystem.
• Germany: Germany is advancing AI as a service through its strong industrial base, with an emphasis on integrating AI into manufacturing and automotive sectors. Companies are deploying AI solutions to enhance process automation, predictive maintenance, and supply chain optimization, reflecting the country's focus on Industry 4.0.
• India: India is emerging as a significant player in AI as a service, with startups and established firms offering AI-driven solutions across various sectors. Key developments include advancements in natural language processing and machine learning platforms, supporting growth in fintech, healthcare, and education.
• Japan: Japan is focusing on AI as a service to drive innovation in robotics and electronics. Companies are integrating AI to improve automation in manufacturing and develop smart consumer electronics. There is also a push toward enhancing AI capabilities in disaster management and healthcare.

Features of the Global AI as a Service Market

Market Size Estimates: AI as a service market size estimation in terms of value ($B).

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

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

Regional Analysis: AI as a service market breakdown by North America, Europe, Asia Pacific, and Rest of the World.

Growth Opportunities: Analysis of growth opportunities in different types, applications, and regions for the AI as a service market.

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

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

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This report answers the following 11 key questions:

• Q.1. What are some of the most promising, high-growth opportunities for the AI as a service market by type (chatbots & digital assistance, cognitive computing API, and machine learning framework), application (communication, automobile, medical, energy, 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 as a Service 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 as a Service Market Trends (2019-2024) and Forecast (2025-2031)
• 3.3: Global AI as a Service Market by Type
  • 3.3.1: Chatbots & Digital Assistance
  • 3.3.2: Cognitive Computing API
  • 3.3.3: Machine Learning Framework
• 3.4: Global AI as a Service Market by Application
  • 3.4.1: Communication
  • 3.4.2: Automobile
  • 3.4.3: Medical
  • 3.4.4: Energy
  • 3.4.5: Others

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

• 4.1: Global AI as a Service Market by Region
• 4.2: North American AI as a Service Market
  • 4.2.1: North American AI as a Service Market by Type: Chatbots & Digital Assistance, Cognitive Computing API, and Machine Learning Framework
  • 4.2.2: North American AI as a Service Market by Application: Communication, Automobile, Medical, Energy, and Others
• 4.3: European AI as a Service Market
  • 4.3.1: European AI as a Service Market by Type: Chatbots & Digital Assistance, Cognitive Computing API, and Machine Learning Framework
  • 4.3.2: European AI as a Service Market by Application: Communication, Automobile, Medical, Energy, and Others
• 4.4: APAC AI as a Service Market
  • 4.4.1: APAC AI as a Service Market by Type: Chatbots & Digital Assistance, Cognitive Computing API, and Machine Learning Framework
  • 4.4.2: APAC AI as a Service Market by Application: Communication, Automobile, Medical, Energy, and Others
• 4.5: ROW AI as a Service Market
  • 4.5.1: ROW AI as a Service Market by Type: Chatbots & Digital Assistance, Cognitive Computing API, and Machine Learning Framework
  • 4.5.2: ROW AI as a Service Market by Application: Communication, Automobile, Medical, Energy, 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 as a Service Market by Type
  • 6.1.2: Growth Opportunities for the Global AI as a Service Market by Application
  • 6.1.3: Growth Opportunities for the Global AI as a Service Market by Region
• 6.2: Emerging Trends in the Global AI as a Service Market
• 6.3: Strategic Analysis
  • 6.3.1: New Product Development
  • 6.3.2: Capacity Expansion of the Global AI as a Service Market
  • 6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global AI as a Service Market
  • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

• 7.1: FICO
• 7.2: Folio3
• 7.3: Google Cloud
• 7.4: lBM
• 7.5: lntel Corporation
• 7.6: Monkey LearnOracle
• 7.7: Salesforce