시장보고서 | 연간정보서비스 | 맞춤형시장조사 | 메일링 | 비교리스트
세계의 자율형 AI 및 자율형 에이전트 시장 규모, 점유율, 산업 동향 분석 보고서 : 분야별, 기술별, 제공 형태별(소프트웨어, 하드웨어, 서비스), 소프트웨어 전개 방식별, 지역별 전망 및 예측(2023-2030년)
Global Autonomous AI and Autonomous Agents Market Size, Share & Industry Trends Analysis Report By Vertical, By Technology, By Offering (Software, Hardware, and Services), By Software Deployment Type, By Regional Outlook and Forecast, 2023 - 2030
상품코드 : 1335935
리서치사 : KBV Research
발행일 : 2023년 07월
페이지 정보 : 영문 393 Pages
 라이선스 & 가격 (부가세 별도)
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한글목차

자율형 AI 및 자율 에이전트 시장 규모는 2030년까지 512억 달러에 달할 것으로 예상되며, 예측 기간 동안 40.7%의 CAGR을 기록할 것으로 예상됩니다.

KBV Cardinal의 매트릭스 분석에 따르면, Microsoft Corporation과 Google LLC(Alphabet Inc.)가 이 시장의 선두주자이며, 2023년 2월 Microsoft Corporation은 OpenAI와의 파트너십을 확대하여 AI 슈퍼컴퓨팅 및 연구용 고급 AI 기술을 독자적으로 판매할 예정입니다. Oracle Corporation, NVIDIA Corporation, Salesforce, Inc. 등의 기업들은 이 시장의 주요 혁신가들이며, AI 슈퍼컴퓨팅 및 연구 분야의 고급 AI 기술을 독자적으로 판매하고 있습니다.

시장 성장 요인

AI 애플리케이션의 성장

다양한 분야에서 AI를 적용하는 흐름이 증가하고 있는 것이 자율형 AI와 에이전트의 발전에 큰 영향을 미치고 있습니다. 헬스케어, 운송, 금융, 제조 등 다양한 산업에서 복잡한 문제를 해결하고 업무를 개선하기 위해 AI를 활용하고 있습니다. 효과적이고 지능적인 솔루션에 대한 요구가 증가함에 따라 인간의 지속적인 상호 작용 없이 적응하고 독립적으로 작동하는 자율 AI 시스템 및 에이전트의 필요성이 점점 더 커지고 있습니다. 따라서 AI의 적용 확대가 시장 확대를 뒷받침하고 있다고 보는 것이 맞다.

헬스케어 개선을 위한 자율형 AI와 에이전트 활용

자율형 AI의 가장 적합한 용도는 관리 워크플로우, 이미지 분석, 로봇 수술, 가상 비서, 임상 판단 지원 분야입니다. 의료진이 정확한 진단을 내릴 수 있도록 자율형 AI는 환자 기록, 검사 결과, 의료 영상 등 방대한 양의 의료 데이터를 검토할 수 있습니다. 그 결과, 지금까지는 안과 의사나 검안사가 상당한 전문적 훈련을 통해 수행하던 인지적으로 어려운 과제를 수행할 수 있습니다. 따라서 그 수요는 시장에서 빠르게 증가하고 있습니다.

시장 억제요인

윤리적, 법률적 고려로 인한 시장의 심각한 장애물

자율형 AI 시스템과 에이전트가 더욱 정교해지고 보급됨에 따라 몇 가지 윤리적 문제가 대두되고 있습니다. 자율 주행 차량과 로봇이 사고나 피해를 유발할 가능성은 심각한 우려 사항입니다. 자율 에이전트와 관련된 사고의 책임을 판단하는 것은 기계의 의사결정, 제조업체의 설계 및 인간의 상호 작용이 상호 작용하기 때문에 어려울 수 있습니다. 또한, 많은 자율 에이전트는 AI 알고리즘에 의해 구동되며, 이러한 알고리즘은 학습된 데이터로부터 편향성을 물려받을 수 있습니다. 이러한 편견으로 인해 특정 집단을 부당하게 차별하는 결정이 내려질 수 있습니다. 이러한 자율 에이전트의 윤리적, 법적 문제는 시장 성장을 저해하는 요인이 될 수 있습니다.

산업별 전망

산업별로는 BFSI, 헬스케어 및 생명과학, IT 및 통신, 소매 및 E-Commerce, 미디어 및 엔터테인먼트, 에너지 및 전력, 자동차, 운송 및 물류, 정부 및 방위, 제조, 기타로 분류되며, 2022년에는 소매 및 E-Commerce 부문이 시장 내 상당한 매출 점유율을 차지할 것으로 예상됩니다. 자율형 쇼핑의 부상은 자율형 AI의 성과입니다. 고객이 스마트폰으로 결제하는 스마트한 "grab-and-go" 비지니스가 빠르게 인기를 끌고 있습니다. 나노 매장, 스마트 캐비닛, 완전 무인 매장은 새로운 전략의 일부입니다.

기술 전망

기술에 따라 시장은 머신러닝(ML), 자연어 처리(NLP), 상황 인식, 컴퓨터 비전으로 세분화됩니다. 컴퓨터 비전 분야는 2022년 시장에서 두드러진 매출 점유율을 기록할 것으로 보입니다. 자율형 AI와 자율형 에이전트는 컴퓨터 비전을 핵심 기술로 사용하여 주변 환경의 시각적 데이터를 인식하고 이해합니다. 컴퓨터 비전 알고리즘은 이미지와 비디오 스트림을 분석하고, 물체를 식별하고, 패턴을 인식하고, 의미 있는 특징을 도출할 수 있습니다.

제품 전망

시장은 하드웨어, 서비스, 소프트웨어로 분류됩니다. 하드웨어 시장은 2023-2030년 40.9%의 CAGR을 기록할 것으로 예상됩니다. 서비스는 자율형 AI 및 에이전트 시스템을 효과적으로 배치하고 운영하는 데 필수적입니다. 이러한 서비스에는 컨설팅, 구현 및 통합, 교육, 지원 및 유지보수 등이 포함됩니다. 시장 내 서비스 제공업체들의 목표는 조직이 AI 시스템을 최대한 활용할 수 있도록 부가가치 서비스를 제공하는 것입니다. 서비스는 조직의 특정 요구 사항에 맞게 조정되어 협업, 지식 전달 및 지속적인 지원을 촉진하고 자율 AI 및 에이전트 기술의 이점을 극대화할 수 있도록 합니다.

소프트웨어 유형에 대한 전망

소프트웨어 유형에 따라 시장은 컴퓨팅 에이전트와 로봇 에이전트로 나뉘며, 2022년에는 컴퓨팅 에이전트 부문이 시장에서 가장 큰 매출 점유율을 차지할 것으로 예상됩니다. 컴퓨팅 에이전트는 디지털 환경에만 존재하며 고급 알고리즘과 컴퓨팅 성능에 의해 구동됩니다. 이 에이전트는 기계 학습과 인공지능을 사용하여 방대한 양의 데이터를 평가하고, 결과를 예측하고, 프로세스를 최적화하고, 자율적인 선택을 합니다.

소프트웨어 배포 전망

소프트웨어 배포의 경우, 시장은 온프레미스와 클라우드로 구분되며, 2022년에는 클라우드 부문이 가장 큰 매출 점유율로 시장을 장악할 것으로 예상됩니다. 클라우드 서비스 제공업체가 제공하는 원격 서버에 AI 및 에이전트 시스템을 호스팅하는 것이 자율형 AI 및 에이전트의 클라우드 배포를 구성합니다. 이 배포 전략은 AI와 에이전트의 강점을 활용하려는 조직에 많은 이점을 제공합니다.

지역별 전망

지역별로는 북미, 유럽, 아시아태평양, LAMEA로 시장을 분석했으며, 2022년에는 북미 지역이 가장 높은 매출 점유율을 차지하며 시장을 주도할 것으로 예상했습니다. 미국과 캐나다는 북미에서 자율 AI와 자율 에이전트 개발 및 적용의 최전선에 있는 두 국가입니다. 이 지역에는 인공지능의 핵심 기술 기업, 연구 기관, 최첨단 스타트업이 모여 있습니다. 자율형 AI는 북미의 교통, 의료, 은행, 제조, 엔터테인먼트 등 다양한 산업에서 활용되고 있습니다.

목차

제1장 시장 범위와 조사 방법

제2장 시장 개요

제3장 시장 개요

제4장 경쟁 분석 - 세계

제5장 세계의 자율형 AI 및 자율형 에이전트 시장 : 업계별

제6장 세계의 자율형 AI 및 자율형 에이전트 시장 : 기술별

제7장 세계의 자율형 AI 및 자율형 에이전트 시장 : 제공별

제8장 세계의 자율형 AI 및 자율형 에이전트 시장 : 지역별

제9장 기업 개요

제10장 자율형 AI 및 자율형 에이전트 시장 승리 필수 조건

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영문 목차

영문목차

The Global Autonomous AI and Autonomous Agents Market size is expected to reach $51.2 billion by 2030, rising at a market growth of 40.7% CAGR during the forecast period.

Autonomous AI and autonomous agents revolutionized the financial institutions' function and provided services, profoundly impacting the BFSI (Banking, Financial Services, and Insurance) sector. Hence, the BFSI segment accounted for $821.2 million revenue in the market in 2022. These cutting-edge technologies present unparalleled opportunities for automation, superior decision-making, and increased customer service. In the BFSI industry, autonomous AI systems use machine learning algorithms to evaluate enormous volumes of financial data, detect trends, and make autonomous conclusions about fraud detection, risk management, and investment strategies.

The major strategies followed by the market participants are Partnerships as the key developmental strategy to keep pace with the changing demands of end users. In May, 2023, SAP SE entered into a partnership with IBM Corporation to combine the latter's Watson AI engine over their complete solutions portfolio, consisting of SAP Business One, S/4 HANA Cloud, SAP S/4 HANA, and SAP Business ByDesign. Additionally, In May, 2023, NVIDIA Corporation signed a partnership with ServiceNow, Inc. to create powerful, top-notch generative AI capabilities which can change business processes with quicker and highly intelligent workflow automation.

Based on the Analysis presented in the KBV Cardinal matrix; Microsoft Corporation and Google LLC (Alphabet Inc.) are the forerunners in the Market. In February, 2023, Microsoft Corporation extended its partnership with OpenAI to independently market the advanced AI technology in AI supercomputing and research. Companies such as Oracle Corporation, NVIDIA Corporation and Salesforce, Inc. are some of the key innovators in the Market.

Market Growth Factors

Growing AI Applications

The rising tide of AI applications in a variety of disciplines is a major factor in the development of autonomous AI and agents. AI is being used to solve complicated problems and improve operations in a variety of industries, including healthcare, transportation, finance, and manufacturing. Autonomous AI systems and agents that can adapt and function independently without continual human interaction are becoming more and more necessary as the demand for effective and intelligent solutions increases. In light of this, it is correct to mention that the growing application of AI is estimated to support the market's expansion.

Using Autonomous AI and Agents to Improve Healthcare

The applications of autonomous AI that are most suitable are in the fields of administrative workflows, image analysis, robotic surgery, virtual assistants, and clinical decision support. To help medical personnel make an accurate diagnosis, autonomous AI may examine a tremendous amount of medical data, including patient records, test results, and medical imaging. As a result, it accomplishes a cognitive, challenging task previously carried out by ophthalmologists and optometrists with substantial, specialized training. Hence, their demand is growing rapidly in the market.

Market Restraining Factors

Significant Obstacles for Market from Ethical and Legal Considerations

Several ethical issues emerge as autonomous AI systems and agents become more sophisticated and widespread. The potential for autonomous vehicles or robots to cause accidents or harm is a significant concern. Determining liability in an accident involving an autonomous agent can be difficult due to the interplay between the machine's decisions, the manufacturer's design, and human interaction. Additionally, a large number of autonomous agents are driven by AI algorithms, and these algorithms may inherit biases from the data they were trained on. Due to biases, decisions that unfairly discriminate against certain groups may be made. These ethical and legal issues with autonomous agents may prevent the market from growing.

Vertical Outlook

On the basis of vertical, the market is categorized into BFSI, healthcare & life sciences, IT & telecom, retail & e-commerce, media & entertainment, energy & power, automotive, transportation & logistics, government & defense, manufacturing, and others. In 2022, the retail & e-commerce segment covered a considerable revenue share in the market. The rise of autonomous shopping is a result of autonomous AI. Smart "grab-and-go" businesses, where customers pay with their smartphones, are quickly gaining popularity. Nanostores, smart cabinets, and completely autonomous stores are a few of the new strategies.

Technology Outlook

Based on technology, the market is fragmented into machine learning (ML), natural language processing (NLP), context awareness and computer vision. The computer vision segment recorded a remarkable revenue share in the market in 2022. Autonomous AI and autonomous agents use computer vision as a core technology to perceive & comprehend visual data from their surroundings. Algorithms for computer vision can analyze images and video streams, identify objects, recognize patterns, and derive meaningful features.

Offering Outlook

By offering, the market is classified into hardware, services and software. The Hardware market is expected to witness a CAGR of 40.9% during (2023 - 2030). Services are essential to effectively deploying and operating autonomous AI and agent systems. These services include consulting, implementation & integration, training and support & maintenance. The goal of service providers in the market is to provide value-added services that allow organizations to utilize their AI systems fully. The services are tailored to the specific requirements of organizations, fostering collaboration, knowledge transfer, and ongoing support to maximize the benefits derived from autonomous AI and agent technologies.

Software Type Outlook

Under software type, the market is bifurcated into computational agents and robotic agents. In 2022, the computational agents segment witnessed the largest revenue share in the market. Computational agents exist exclusively in digital environments and are propelled by advanced algorithms and computing power. These agents use machine learning and artificial intelligence to evaluate enormous volumes of data, forecast outcomes, optimize processes, and make autonomous choices.

Software Deployment Outlook

Under software deployment, the market is segmented into on-premise, and cloud. In 2022, the cloud segment dominated the market with maximum revenue share. Hosting AI and agent systems on distant servers offered by cloud service providers constitutes cloud deployment for autonomous AI and agents. This deployment strategy provides numerous benefits to organizations seeking to leverage the strength of AI and agents.

Regional Outlook

Region wise, the market is analyzed across North America, Europe, Asia-Pacific and LAMEA. In 2022, the North America region led the market by generating the highest revenue share. The United States and Canada are two nations in North America that are at the forefront of the development and application of autonomous AI and autonomous agents. The region is home to significant technology companies, research institutions, and cutting-edge startups in artificial intelligence. Autonomous AI is being used in various industries in North America, including transportation, healthcare, banking, manufacturing, and entertainment.

The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include IBM Corporation, Microsoft Corporation, Oracle Corporation, Google LLC (Alphabet Inc.), Salesforce, Inc., SAP SE, NVIDIA Corporation, Baidu, Inc., Uber Technologies, Inc., Cogito Tech LLC

Recent Strategies Deployed in Autonomous AI and Autonomous Agents Market

Partnerships, Collaborations & Agreements:

Jun-2023: Salesforce, Inc. released AI Cloud, a new product portfolio designed to provide "enterprise-ready" AI. This launch aims to boost the company's position in the ultra-competitive AI space and consists of tools developed to provide enterprise-ready AI.

May-2023: IBM announced the launch of the Watsonx Platform, a new platform to be released for foundation models and generative AI. The launched product provides a data store, governance toolkit, and studio. Furthermore, Watson products combined with generative AI and foundation models are to be released for digital labor, sustainability, AIOps, and security.

May-2023: Oracle Corporation introduces a new Oracle Autonomous Data Warehouse, the industry's foremost and unique autonomous database fueled by machine learning and optimized for analytics workloads. The launched product advances the proprietary and closed nature of conventional data lakes and warehouses.

Apr-2023: Oracle Corporation enhanced Oracle Fusion Cloud Applications portfolio which would further support clients to hasten distribution planning, maximizing operational efficiency and enhancing financial accuracy. The enhanced portfolio would consist of rebate management capabilities, new planning, and usage-based pricing across Oracle Fusion SCM and increase quote-to-cash processes within Oracle Fusion Applications.

Mar-2023: Salesforce, Inc. introduced Einstein GPT, a generative AI push with a pilot of technology having ChatGPT-like characteristics. This launch aims to develop a huge amount of opportunities for innovation in their suite of products as well as our broader ecosystem and wider suite.

Mar-2023: Baidu, Inc. announced the launch of Ernie Bot, the AI chatbot. The launched product can be applied for different applications, consisting of AI cloud, searches, autonomous driving, and smart devices.

Jul-2022: Microsoft Corporation rolled out Project AirSim, an end-to-end platform. The launched product would further facilitate autonomous flight. Moreover, Project AirSim uses high-fidelity simulation to safely create, educate, and test autonomous aircraft on Microsoft Azure.

Jul-2022: Baidu, Inc. introduced Apollo RT6, a modern electric autonomous driving vehicle. The launch would achieve the industry's Level 4 among five feasible levels of technology.

Sep-2021: Oracle unveiled Oracle Exadata X9M platforms, the next generation of the fastest and most cost-effective systems for running the Oracle Database. The new platform involves Exadata Cloud@Customer X9M and Oracle Exadata Database Machine X9M, the only platform that runs Oracle Autonomous Database in customer data centers.

Jun-2021: Salesforce, Inc. announced Einstein Relationship Insights, a brand-new AI-powered research agent. The launched product would autonomously analyze the internet data source and internet to determine relationships between companies, prospects, and customers to support sales reps close deals quickly. Moreover, Einstein Relationship Insights would behave as a virtual agent for salespersons within social media, all industries, email, scanning the web, and other online sources to reveal and suggest related companies and people.

Product Launches and Product Expansions:

May-2023: SAP SE entered into a partnership with IBM Corporation, an American multinational technology corporation. Under this partnership, both companies would combine the latter's Watson AI engine over their complete solutions portfolio, consisting of SAP Business One, S/4 HANA Cloud, SAP S/4 HANA, and SAP Business ByDesign.

May-2023: NVIDIA Corporation signed a partnership with ServiceNow, Inc., an American software company. Following this partnership, both companies would create powerful, top-notch generative AI capabilities which can change business processes with quicker and highly intelligent workflow automation.

May-2023: NVIDIA Corporation collaborated with WPP, plc, a British multinational advertising, communications, public relations, and technology-based company. Under this collaboration, both companies would create a content engine that would utilize NVIDIA Omniverse and AI to allow innovative teams to make superior commercial content quicker, more effectively, and at scale during staying completely aligned with a customer brand.

Mar-2023: Google Cloud, a subsidiary of Google LLC, teamed up with Oxbotica, an autonomous vehicle software developer. This collaboration would help to facilitate the deployment of autonomous software platforms for clients across the world. Additionally, this collaboration would integrate Oxbotica's market-leading autonomous vehicle software with Google Cloud's specialization in cloud infrastructure to develop safe, reliable, and scalable autonomous driving solutions for all businesses with transportation over their value chain.

Mar-2023: NVIDIA Corporation came into partnership with Adobe Inc., an American multinational computer software company. Under this partnership, both companies would co-create modern generative AI models. Furthermore, both companies would combine NVIDIA Omniverse, a platform for developing and operating 3D industrial metaverse applications with Microsoft 365 applications such as Teams, OneDrive, and SharePoint to connect 3D collaboration platforms and productivity.

Mar-2023: NVIDIA Corporation teamed up with Amazon Web Services, Inc., a subsidiary of Amazon.com, Inc. This collaboration aims to create the world's most expandable and on-demand AI infrastructure optimized for training growingly complex large language models (LLMs) and creating generative AI applications.

Feb-2023: Microsoft Corporation extended its partnership with OpenAI, an American artificial intelligence research laboratory. This partnership would further widen their previous partnership which would allow them to independently market the advanced AI technology in AI supercomputing and research.

Oct-2022: Microsoft Corporation collaborated with TCS, an Indian multinational information technology consulting and services company. Under this collaboration, both companies would use Project Bonsai, a low-code, secure, and compliant AI platform, to create innovative AI-powered autonomous solutions on the Microsoft Azure Cloud using Microsoft's in-depth domain expertise in industrial control systems.

Oct-2022: Google Cloud expanded its partnership with Accenture, specializing in information technology (IT) services and consulting. Through this partnership, both companies aimed at jointly developing new solutions using data and AI. Furthermore, it would enable the clients to build a strong core and reinvent their enterprises on the cloud.

Sep-2022: Uber Technologies, Inc. teamed up with Nuro, a pioneer autonomous vehicle company. This partnership aimed to utilize Nuro's autonomous, electric vehicles for food deliveries across the United States. Additionally, the partnership would underline the fastly growing potential for last-mile autonomous delivery of groceries, meals, and other goods and unlock autonomous delivery technology to Uber Eats all sizes of restaurants /merchants.

Sep-2021: Oracle came into a partnership with Adenza, a leading global provider of end-to-end, trading, treasury, risk management, and regulatory compliance. Following the partnership, Adenza would use the Autonomous Transaction Processing and Autonomous Data Warehouse of Oracle to improve RegCloud, its regulatory reporting product line. The partnership would integrate the Oracle Autonomous Database on OCI to Adenza's AxiomSL RegCloud SaaS portfolio which enables further flexibility to customers who have installed Oracle Database on-premises or have opted for Oracle Database for cloud services.

Jul-2021: Baidu, Inc. collaborated with the University of Maryland, College Park, a public land-grant research university. This collaboration aimed to launch a new benchmark in robotics. Moreover, under this collaboration, an autonomous excavator system would be produced which is claimed to give very good results.

Jun-2021: Oracle came into a multi-year partnership with Deutsche Bank, one of the world's largest financial services organizations. Following the partnership, Oracle would help to advance the database technology and expedite the digital transformation of the Bank. Moreover, the two companies would together explore the potential uses of data security technologies, analytics, AI, and blockchain to redesign new financial products and services.

Acquisitions and Mergers:

Jun-2021: IBM today announced the closing of its acquisition of Turbonomic, Inc., an Application Resource Management (ARM) and Network Performance Management (NPM) software provider based in Boston, MA. Now that Turbonomic is a part of our portfolio, IBM is the only company providing a one-stop shop of AI-powered automation capabilities, all built on Red Hat OpenShift to run anywhere.

Scope of the Study

Market Segments covered in the Report:

By Vertical

By Technology

By Offering

By Geography

Companies Profiled

Unique Offerings from KBV Research

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 Autonomous AI and Autonomous Agents Market by Vertical

Chapter 6. Global Autonomous AI and Autonomous Agents Market by Technology

Chapter 7. Global Autonomous AI and Autonomous Agents Market by Offering

Chapter 8. Global Autonomous AI and Autonomous Agents Market by Region

Chapter 9. Company Profiles

Chapter 10. Winning imperative for Autonomous AI and Autonomous Agents Market

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