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기업 인공지능(AI) 시장 분석 및 예측(-2034년) : 유형, 제품, 서비스, 기술, 구성 요소, 용도, 배포, 최종 사용자, 기능
Enterprise Artificial Intelligence (AI) Market Analysis and Forecast to 2034: Type, Product, Services, Technology, Component, Application, Deployment, End User, Functionality
상품코드 : 1762123
리서치사 : Global Insight Services LLC
발행일 : 2025년 07월
페이지 정보 : 영문 338 Pages
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한글목차

기업 인공지능(AI) 시장은 2024년 245억 달러에서 2034년까지 2,609억 달러로 확대되며 약 26.7%의 연평균 복합 성장률(CAGR)을 나타낼 전망입니다. 이 솔루션은 머신러닝, 자연 언어 처리 및 로봇 공학을 포함하여 AI의 도입이 가속화됨에 따라 안전하고 효율적인 AI 도구를 찾고 있습니다.

업계 개요

AI 구성 요소에 대한 세계의 관세와 지정학적 긴장이 기업 인공지능(AI) 시장 공급 체인에 큰 영향을 미치고 있습니다. 반도체 연구개발로의 전략적인 방향전환을 촉구하고 있습니다. 미국과 중국의 지정학적 마찰의 영향을 받기 쉽습니다. 2035년까지 시장의 진화는 탄력적인 공급망과 전략적 제휴에 달려 있습니다.

시장 세분화
유형 머신러닝, 자연 언어 처리, 컴퓨터 비전, 로봇 공학, 전문가 시스템, 음성 인식
제품 AI 소프트웨어, AI 하드웨어, AI 플랫폼
서비스 컨설팅, 시스템 통합, 지원 및 유지보수, 관리 서비스
기술 딥러닝, 신경망, 인지 컴퓨팅, 예측 분석
구성 요소 솔루션, 서비스
용도 고객 서비스, 영업 및 마케팅, 사기 탐지, 위험 관리, 공급망 관리, 인사, 제조, 의료, 금융
배포 클라우드, 온프레미스, 하이브리드
최종 사용자 BFSI, 소매, 의료, 제조, 통신, 자동차, 정부, 미디어 및 엔터테인먼트, 교육
기능 자동화, 데이터 분석, 가상 어시스턴트

시장 개요 :

기업 인공지능(AI) 시장은 솔루션, 서비스, 배포 모드, 최종 사용자 산업으로 구분됩니다. 이 부문의 이점은 의사결정 프로세스 및 업무 효율성 향상에 필수적인 AI를 활용한 분석, 자연언어 처리, 컴퓨터 비전 기술에 대한 수요 증가로 인한 것입니다. 서비스 부문은 AI 솔루션의 구현에 있어서 전문 지식의 필요성에 따라 약간의 차이로 지속되고 있습니다. 운영 가동 중지 시간을 줄임으로써 시장에 큰 영향을 미치는 태세를 갖추었습니다.

충돌 개요 :

클라우드 기반 AI 솔루션이 기업 인공지능(AI) 시장을 독점하고 온프레미스 모델과 하이브리드 모델이 약간 차이가 나고 있습니다. 북미는 그 견고한 기술 인프라와 조기 도입으로 주도적 지위를 유지하고 있지만, 아시아태평양은 업계 전체의 급속한 디지털 전환에 박차를 가해 투자의 급증을 목격하고 있습니다. 웹 서비스를 비롯한 업계의 주요 기업은 최첨단 혁신을 통해 지속적으로 서비스를 강화하고 있습니다. 장역학에 영향을 미치고 있습니다. 향후 시장은 특히 의료 및 금융과 같은 분야에서 AI 통합의 진전에 힘입어 크게 성장하는 궤도에 있습니다. 고가의 도입 비용 등의 과제를 극복할 필요가 있지만, 특히 머신러닝과 자연 언어 처리에 있어서의 끊임없는 기술 진보의 페이스는 지속적인 확대를 위한 유리한 기회를 제시하고 있습니다.

주요 동향과 촉진요인 :

기업 인공지능(AI) 시장은 몇 가지 매우 중요한 동향과 촉진요인에 힘입어 견조한 확대를 경험하고 있습니다. 이를 통해 혁신적이고 확장 가능하고 유연한 AI 솔루션이 가능해지고 있습니다. 투명성이 중시됨에 따라 기업은 책임있는 AI 관행을 채용하게 되어 규제 기준의 준수와 소비자의 신뢰 구축이 확실해지고 있습니다. AI 연구 개발에 대한 투자가 증가하고 혁신이 촉진되고 기술 진보가 가속되고 있는 것도 큰 추진력이 되고 있습니다. 데이터를 주도하는 전략과 경쟁 우위성이 촉진되고 있습니다. 맞춤형 AI 솔루션을 제공하고 상호 운용성을 선호하는 기업은 시장 점유율을 얻는 데 유리한 입장에 있습니다. 개발에 주력하고 있는 것도 유리한 전망을 창출하고 있습니다. AI가 진화를 계속하고 있는 가운데, 기업 인공지능(AI) 시장은 기술의 진보와 전략적 비즈니스상의 요구의 융합에 의해 지속적인 성장을 이루는 태세가 갖추어지고 있습니다.

억제요인과 도전 :

기업 인공지능(AI) 시장은 눈에 띄는 억제요인과 과제에 직면하고 있습니다. 기밀 정보를 보호하기 위해 복잡한 규제를 극복해야 하므로 데이터 프라이버시에 대한 우려가 큰 장애물이 되고 있습니다. 기업는 AI 솔루션의 도입을 주저하고 있으며, AI와 기존 시스템 간의 통합은 복잡하고 시간이 많이 걸리고 엄청난 리소스와 전문 지식이 필요합니다. 편향에 대한 윤리적 우려는 신중한 감독과 거버넌스를 필요로 하는 지속적인 과제를 제시합니다.

목차

제1장 기업 인공지능(AI) 시장 개요

제2장 주요 요약

제3장 시장에 관한 중요 인사이트

제4장 기업 인공지능(AI) 시장 전망

제5장 기업 인공지능(AI) 시장 전략

제6장 기업 인공지능(AI) 시장 규모

제7장 기업 인공지능(AI) 시장 : 유형별

제8장 기업 인공지능(AI) 시장 : 제품별

제9장 기업 인공지능(AI) 시장 : 서비스별

제10장 기업 인공지능(AI) 시장 : 기술별

제11장 기업 인공지능(AI) 시장 : 구성 요소별

제12장 기업 인공지능(AI) 시장 : 용도별

제13장 기업 인공지능(AI) 시장 : 배포별

제14장 기업 인공지능(AI) 시장 : 최종 사용자별

제15장 기업 인공지능(AI) 시장 : 기능별

제16장 기업 인공지능(AI) 시장 : 지역별

제17장 경쟁 구도

제18장 기업 프로파일

KTH
영문 목차

영문목차

Enterprise Artificial Intelligence (AI) Market is anticipated to expand from $24.5 billion in 2024 to $260.9 billion by 2034, growing at a CAGR of approximately 26.7%. Enterprise Artificial Intelligence (AI) Market encompasses AI-driven solutions tailored for businesses, enhancing decision-making, automation, and customer engagement. It includes machine learning, natural language processing, and robotics. As AI adoption accelerates, enterprises seek scalable, secure, and efficient AI tools. The market is driven by demand for improved operational efficiency, data analytics, and innovation in AI technologies, thus presenting significant growth opportunities.

Industry Overview:

Global tariffs on AI components and geopolitical tensions are significantly impacting the Enterprise AI market's supply chains. In Japan and South Korea, dependency on US AI technology is prompting strategic pivots towards local semiconductor R&D to mitigate tariff-induced cost pressures. China's focus on self-reliance is intensifying, with accelerated efforts to develop domestic AI chips and infrastructure, circumventing export restrictions. Taiwan's semiconductor prowess positions it as a pivotal player, yet it remains vulnerable to US-China geopolitical frictions. The global parent market, encompassing hyperscale data centers, is expanding, albeit with heightened CapEx and supply chain vulnerabilities. By 2035, market evolution will hinge on resilient supply chains and strategic alliances. Middle East conflicts, by influencing energy prices, could further complicate global supply dynamics and project costs.

Market Segmentation
TypeMachine Learning, Natural Language Processing, Computer Vision, Robotics, Expert Systems, Speech Recognition
ProductAI Software, AI Hardware, AI Platforms
ServicesConsulting, System Integration, Support and Maintenance, Managed Services
TechnologyDeep Learning, Neural Networks, Cognitive Computing, Predictive Analytics
ComponentSolutions, Services
ApplicationCustomer Service, Sales and Marketing, Fraud Detection, Risk Management, Supply Chain Management, Human Resources, Manufacturing, Healthcare, Finance
DeploymentCloud, On-premises, Hybrid
End UserBFSI, Retail, Healthcare, Manufacturing, Telecommunications, Automotive, Government, Media and Entertainment, Education
FunctionalityAutomation, Data Analytics, Virtual Assistants

Market Overview:

The Enterprise Artificial Intelligence (AI) Market is segmented into solutions, services, deployment modes, and end-user industries. The solutions segment, encompassing AI platforms and software tools, is the leading segment due to its pivotal role in enabling AI-driven transformations across enterprises. This segment's dominance is attributed to the escalating demand for AI-powered analytics, natural language processing, and computer vision technologies, which are integral to enhancing decision-making processes and operational efficiencies. The services segment, including consulting and system integration, follows closely, driven by the need for expertise in implementing AI solutions. Emerging sub-segments such as AI in customer service and predictive maintenance are gaining prominence. These sub-segments are poised to significantly impact the market by offering personalized customer experiences and reducing operational downtimes. Additionally, the rise of AI-driven cybersecurity solutions is addressing the growing concerns over data privacy and security, further propelling market growth.

Geographical Overview:

The enterprise AI market is witnessing varied growth patterns across regions, each with unique characteristics. North America leads the market, driven by substantial investments in AI technologies and a robust digital infrastructure. The presence of major tech giants accelerates innovation and adoption of AI solutions. Europe maintains a strong position, benefiting from significant investments in AI research and development. The region's focus on ethical AI and data privacy strengthens its market position. Government initiatives support the integration of AI across industries, fostering a thriving ecosystem. In the Asia Pacific, rapid technological advancements and government support drive the enterprise AI market. Countries like China and India are at the forefront, investing heavily in AI to enhance economic growth. The region's growing digital economy necessitates advanced AI solutions. Latin America is an emerging market, with increasing investments in AI infrastructure. Businesses are recognizing AI's potential to improve efficiency and competitiveness. Government support and strategic partnerships further bolster market growth. The Middle East and Africa are also recognizing AI's transformative potential. Investments in AI-ready infrastructure are on the rise, aiming to drive economic diversification and innovation. The region's focus on smart city initiatives and digital transformation offers significant opportunities for AI adoption.

Competition Overview:

Cloud-based AI solutions dominate the enterprise AI market, with on-premise and hybrid models trailing closely behind. This hierarchy is attributed to the burgeoning demand for scalable and adaptable AI-driven solutions that cloud technologies inherently provide. While North America maintains a leadership position due to its robust technological infrastructure and early adoption, the Asia-Pacific region is witnessing a surge in investments, spurred by rapid digital transformation across industries. Key industry players, including Google, Microsoft, and Amazon Web Services, are continually enhancing their offerings through cutting-edge innovations. The competitive landscape is heavily influenced by the strategic maneuvers of these major corporations, as well as emerging startups that bring niche solutions to the forefront. Regulatory frameworks in regions such as North America and Europe are pivotal, setting the standards for ethical AI deployment and data privacy, thereby affecting market dynamics. Looking ahead, the market is on a trajectory of significant growth, fueled by advances in AI integration, particularly in sectors such as healthcare and finance. However, the industry must navigate challenges like data security, ethical concerns, and high implementation costs. Nevertheless, the relentless pace of technological advancement, particularly in machine learning and natural language processing, presents lucrative opportunities for sustained expansion.

Recent Developments:

Over the past three months, the Enterprise Artificial Intelligence (AI) market has witnessed several pivotal developments. Firstly, IBM has formed a strategic partnership with SAP to integrate AI-driven analytics into enterprise solutions, enhancing operational efficiency for businesses globally. Secondly, Google Cloud has launched a new suite of AI tools tailored for enterprises, focusing on improving data management and predictive analytics capabilities. Thirdly, Salesforce announced the acquisition of an AI startup specializing in natural language processing to bolster its CRM offerings with advanced AI functionalities. Fourthly, Amazon Web Services (AWS) has expanded its AI services portfolio by introducing new machine learning models designed to optimize supply chain management for enterprises. Lastly, Oracle has unveiled a significant update to its AI platform, incorporating cutting-edge algorithms to enhance decision-making processes within enterprise applications. These developments underscore the rapid evolution of the Enterprise AI market, as leading tech companies continue to innovate and expand their AI capabilities to meet the growing demands of businesses worldwide.

Key Companies:

Open AI, Data Robot, C3.ai, H2 O.ai, Ui Path, Cognitive Scale, Ayasdi, SAS Institute, Sift Science, Darktrace, Automation Anywhere, Blue Prism, Veritone, Numenta, Spark Cognition, Clarifai, Anodot, Vicarious, Appen, KAI

Key Trends and Drivers:

The Enterprise Artificial Intelligence (AI) market is experiencing robust expansion, driven by several pivotal trends and drivers. Firstly, the integration of AI with cloud computing is transforming how businesses leverage data, enabling scalable and flexible AI solutions. This trend is empowering enterprises to deploy AI models with reduced infrastructure costs and enhanced accessibility. Furthermore, the growing emphasis on AI ethics and transparency is prompting companies to adopt responsible AI practices, ensuring compliance with regulatory standards and building consumer trust. Moreover, the proliferation of AI-driven automation across various industries is enhancing operational efficiency and reducing human error. This shift is particularly evident in sectors such as manufacturing, finance, and healthcare, where AI is streamlining processes and improving decision-making. Another significant driver is the increasing investment in AI research and development by both private and public sectors, fostering innovation and accelerating technological advancements. Additionally, the rise of AI-powered analytics is enabling businesses to derive actionable insights from vast datasets, facilitating data-driven strategies and competitive advantage. Opportunities are abundant in emerging markets, where AI adoption is gaining momentum due to digital transformation initiatives and the need for technological modernization. Companies that offer tailored AI solutions and prioritize interoperability are well-positioned to capture market share. The focus on developing AI technologies that enhance customer experience and personalization is also creating lucrative prospects. As AI continues to evolve, the enterprise AI market is poised for sustained growth, driven by the convergence of technological advancements and strategic business imperatives.

Restraints and Challenges:

The enterprise artificial intelligence market is confronted with notable restraints and challenges. A primary challenge is the scarcity of skilled professionals capable of developing and managing AI systems, which hampers implementation. Additionally, data privacy concerns pose significant hurdles, as enterprises must navigate complex regulations to protect sensitive information. High initial investment costs for AI infrastructure and technology deter smaller enterprises from adopting AI solutions. Furthermore, the integration of AI with existing systems can be complex and time-consuming, requiring substantial resources and expertise. Lastly, ethical concerns regarding AI decision-making and potential biases in algorithms present ongoing challenges, necessitating careful oversight and governance. These factors collectively impede the rapid expansion and seamless integration of AI technologies within enterprises.

Research Scope:

Our research scope provides comprehensive market data, insights, and analysis across a variety of critical areas. We cover Local Market Analysis, assessing consumer demographics, purchasing behaviors, and market size within specific regions to identify growth opportunities. Our Local Competition Review offers a detailed evaluation of competitors, including their strengths, weaknesses, and market positioning. We also conduct Local Regulatory Reviews to ensure businesses comply with relevant laws and regulations. Industry Analysis provides an in-depth look at market dynamics, key players, and trends. Additionally, we offer Cross-Segmental Analysis to identify synergies between different market segments, as well as Production-Consumption and Demand-Supply Analysis to optimize supply chain efficiency. Our Import-Export Analysis helps businesses navigate global trade environments by evaluating trade flows and policies. These insights empower clients to make informed strategic decisions, mitigate risks, and capitalize on market opportunities.

TABLE OF CONTENTS

1: Enterprise Artificial Intelligence (AI) Market Overview

2: Executive Summary

3: Premium Insights on the Market

4: Enterprise Artificial Intelligence (AI) Market Outlook

5: Enterprise Artificial Intelligence (AI) Market Strategy

6: Enterprise Artificial Intelligence (AI) Market Size

7: Enterprise Artificial Intelligence (AI) Market, by Type

8: Enterprise Artificial Intelligence (AI) Market, by Product

9: Enterprise Artificial Intelligence (AI) Market, by Services

10: Enterprise Artificial Intelligence (AI) Market, by Technology

11: Enterprise Artificial Intelligence (AI) Market, by Component

12: Enterprise Artificial Intelligence (AI) Market, by Application

13: Enterprise Artificial Intelligence (AI) Market, by Deployment

14: Enterprise Artificial Intelligence (AI) Market, by End User

15: Enterprise Artificial Intelligence (AI) Market, by Functionality

16: Enterprise Artificial Intelligence (AI) Market, by Region

17: Competitive Landscape

18: Company Profiles

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