인공 인텔리전스 시장 규모, 공유 및 산업 분석, 구성 요소 (하드웨어, 소프트웨어, 서비스), 배포 (온 프레미스, 클라우드), 엔터프라이즈 유형 (대기업, 중소형 기업), 기능 별 (인적 자원 , 마케팅 및 영업, 제품/서비스 배포, 서비스 운영), 기술 (기계 학습, 자연 언어 처리, 컴퓨터 비전, 로봇 공학, 자동화, 전문가 시스템), 산업별 (의료, 자동차, 소매, BFSI, 제조, 농업, 정부 및 공공 부문) 및 지역 예측, 2025 � 2032

글로벌 인공 지능 시장 규모는 2024 년에 2,330 억 달러로 평가되었습니다. 시장은 2025 년에 2094.16 억 달러에서 2032 년까지 1,7716 억 달러로 증가하여 예측 기간 동안 29.2%의 CAGR을 나타 냈습니다. p>

인간 지능 프로세스를 시뮬레이션하기 위해 기계를 사용하는 것은 인공 지능이라고합니다. 여기에는 학습 및 문제 해결과 같은 인간 능력을 모방하기위한 스마트 소프트웨어 및 하드웨어 개발이 포함됩니다. 많은 회사들이 AI로 전환하고 정보에 입각 한 결정을 내리기 위해 데이터를 분석하고 있으며,이 기술을 사용하여 AI 중 9 개가 통합 된 비즈니스의 약 35%가 시장에서 앞서 나가고 있습니다. 전세계 정부는 AI 연구 개발에 상당한 투자를하고 있으며 Goldman Sachs에 따르면 Global AI Investments는 2025 년까지 약 2 천억 달러에 도달 할 것으로 예상됩니다.

< /p>

위의 통계는 2023 년 전 세계의 주요 기계 학습 신생 기업으로 인한 자본을 보여줍니다. 지난 3 년 동안 2020-2021 통계의 변화는 AI 투자가 일관성을 유지했음을 보여줍니다. 이것은 Covid-19 Pandemic이 2023 년 전 세계의 기계 학습 스타트 업 자금을 가속화했음을 보여줍니다. WriterBuddy에 따르면 Openai는 110 억 달러의 AI 자금을 지배합니다. Anthropic은 Openai의 전직 직원이 설립 한 다음으로 자금을 지원하는 AI 스타트 업이었습니다.

Covid-19 Pandemic은 비즈니스 운영에 영향을 미쳐 복잡성이 더 커졌습니다. 회사는 작업 프로세스를 클라우드로 전송하여 이러한 변경에 응답했습니다. 이로 인해 인공 지능, 기계 학습 및 기타와 같은 고급 기술의 채택이 증가했습니다. 의료 부문은이 기술의 초기 채택 자로 진단, 치료 및 예측의 정확성과 효율성을 향상 시켰습니다. 예를 들어, 2022 년 1 월의 연구에 따르면 Regenstrief Institute와 Indiana University ### 791852의 연구원들은 기계 학습 (ML) 알고리즘은 전염병시 공중 보건 의사 결정에 도움이 될 수 있습니다.

생성 AI가 업계에 미치는 영향은 무엇입니까?

AI 기술은 ChatGpt의 도입으로 계속 지배적입니다

생성 AI 도구는 인간의 글쓰기와 유사한 텍스트를 생성 할 수 있으며 단편 소설 공예, 용어 논문 및 음악 구성, 수학 문제 해결, 기본 프로그램 코딩 및 번역 수행과 같은 광범위한 작업을 다루는 텍스트를 생성 할 수 있습니다. OpenAi는 2022 년 11 월 출시 후 5 일 만에 AI 도구 인 Chatgpt가 백만 명 이상의 사용자를 끌어 들였다고보고했다. 아래의 통계는 인기있는 온라인 서비스가 동일한 수의 사용자를 달성하는 데 걸리는 시간을 보여줍니다. 이에 비해 다른 잘 알려진 온라인 플랫폼은 백만 명의 사용자의 이정표에 도달하는 데 더 오랜 시간이 걸렸습니다.

최근 AI 도구의 출시에 대한 응답으로 전 세계의 주요 기술 회사는 자체 AI 중심 챗봇을 출시했습니다. 이 chatbots 는 Chatgpt와 경쟁하고 이러한 조직 이이 산업에서 자신의 위치를 ​​유지하는 데 도움이되도록 설계되었습니다. Chatgpt에 대한 최신 출시 중 일부는 다음과 같습니다.

• 2023 년 2 월 - Baidu, Inc.는 Ernie Bot이라는 자체 AI 챗봇과 중국어로 Wenxin Yiyan을 출시했습니다. 이를 통해 Baidu의 주식은 홍콩에서 13% 이상 증가했습니다.

따라서 Chatgpt의 도착은 이러한 AI 기반 도구를 활용하기 위해 AI 기술에 적극적으로 참여하고 투자하는 비즈니스로 이어졌습니다. AI 기술에 대한 이러한 추진은 시장 성장을 주도하고 있습니다. 이 수요는 앞으로 몇 년 동안 AI의 주요 위치를 유지할 것으로 예상됩니다.

전 세계적으로 다양한 산업 분야의 생성 AI의 확장은 2024 년에도 계속 될 것으로 예상됩니다. Bloomberg Intelligence (BICLED)는 향후 10 년 안에 생성 AI 시장이 1.3 조 달러에 도달 할 것으로 예측하는 보고서를 제시했습니다. 더욱 2023 년에 10 억입니다. 현재 생성 AI는 변압기 기반 텍스트 생성 모델과 확산 기반 이미지 생성 모델을 사용하고 있습니다. 이러한 모델을 통해 시스템은 기존 데이터에서 학습하고 입력 데이터와 매우 유사한 광범위한 정보를 생성 할 수 있습니다. 또한 Chatgpt 및 LLM (대형 언어 모델)과 같은 AI 모델은 은행 및 금융 서비스, 건강 관리 및 여행 및 환대와 같은 부문에 점점 더 적용되어 인간의 개입이 감소하고 있습니다.

"다음 10 년을 형성 할 주요 AI 시장 동향, 돌파구 및 투자 기회는 무엇입니까?"

AI 시장은 양자 AI, 신경성 컴퓨팅 및 차세대 생성 모델의 획기적인 발전에 힘 입어 지진 변화의 직전에 서 있습니다. 향후 10 년 동안 우리는 AI 중심 자동화, 정밀 의학, 자율 시스템 및 윤리적 AI 거버넌스에 대한 투자 폭발을 목격 할 것입니다. 그러나 실제 게임 체인저는 산업 수렴에 있으며, AI는 생명 공학, 금융 및 IoT와 완벽하게 얽혀 전체 생태계를 재구성합니다. AI가 단순한 효율성을 넘어 창의성과 자율적 의사 결정의 영역으로 이동함에 따라 기업은 이러한 혼란을 채택 할뿐만 아니라 예상해야합니다. 미래는 AI의 진화에 보조를 맞추는 것이 아니라 적극적으로 형성하는 사람들에게 속합니다.

시장 역학

시장 드라이버

시장 성장을 강화하기위한 인간 요원의 AI 지원 증가

ai는 확실히 Contain-Experience Chatbots와의 컨택 센터에 공통의 문의를 지원하고 고객에게 관련 리소스를 안내합니다. 2024 년까지 AI는 에이전트 보조원으로 일함으로써 가상 에이전트를 지원할 것입니다. 한 가지 예는 AI의 고객 정서를 분석하고 인간 에이전트가 개선 된 고객 서비스를 제공하는 데 도움을주기위한 제안 된 응답을 제공하는 능력입니다. 또한 AI는 향후 참조를 위해 대화를 요약하고 분류하는 등의 에이전트가 일반적으로 수행하는 반복적 인 작업 중 일부를 처리 할 수 ​​있습니다.

AI는 모든 고객 서비스 제공에 대한 포괄적 인 지원을 제공하여 기본 작업을 처리하여 에이전트 요청을 최소화합니다. 인간 에이전트가 필요한 경우 AI는 모든 터치 포인트에서 고객 상호 작용을 향상시키기 위해 효과를 향상시킵니다. AI가 발전함에 따라 인간 요원을 돕는 더 큰 기능을 제공 할 것입니다. 따라서 인간 에이전트에 대한 AI 지원을 채택하면 인공 지능 시장 점유율을 주도하고 있습니다.

시장 제한

AI 도구의 모든 채택과 관련된 과제는 시장 성장을 방해 할 수 있습니다

개발 도상국의 AI 인재 부족, AI 도구의 모든 채택과 관련된 과제 및 블랙 박스 효과는 시장의 제한 요인을 설명합니다. 회사는 블랙 박스 효과를 제거하기 위해보다 윤리적이고 설명 가능한 AI 모델로 이러한 요소를 대응하기위한 솔루션을 업그레이드했습니다. 블랙 박스 효과는 AI 알고리즘이 때때로 쉽게 검증되지 않은 결과를 개발한다는 것을 의미합니다. 이러한 알고리즘의 결과는 발견하기 어려운 숨겨진 편향을 가질 수 있습니다. Therefore, there is no sufficient explanation for the results. Thus, users tend to lack trust and safety in adopting AI tools.

Moreover, governments and corporations have been developing research institutes and educational centers to overcome the lack of AI talent globally. Thus, these factors promise to accelerate the growth of this industry across the globe in the coming years.

시장 기회

AI Supercomputers Being Offered as Service to Create Lucrative Opportunities for Market Players

Supercomputing provides powerful processing capabilities similar to those of High Performance Computing (HPC). However, unlike an HPC server, which can be used to support multiple applications, a supercomputer will only consist of a single computer which can be customized to perform a dedicated task. The pandemic surged the demand for supercomputer clusters, which helped researchers in developing various drugs and enabled governments and other organizations to complete pandemic-related initiatives successfully.

Hyperscalers, such as Microsoft and Hewlett Packard Enterprise (HPE), among others, are engaged in developing and investing in this lucrative market to capture the largest share. These investments and technological expertise help these vendors position themselves as market leaders. For instance, Microsoft Azure released its high precision public cloud supercomputer service which is driven by NVIDIA‘s A100 Tensor Core GPUs. The company joins AWS, Oracle, and Google by launching similar supercomputing-as-a-service offerings, based on NVIDIA’s platform.

• February 2023 - IBM built an AI supercomputer in the cloud to train the company’s massive AI models.
• January, 2022 - Meta built an “AI supercomputer” which is specifically developed to train machine learning systems.

Thus, the increasing popularity of AI supercomputers being offered as a service is expected to create lucrative opportunities for the key vendors operating in the AI market.

AI MARKET TRENDS

Rising Popularity of Quantum AI is a Key Market Trend

The use of quantum computing principles in AI is known as Quantum AI. This form of AI is becoming increasingly popular due to its ability to enhance AI algorithms. Quantum AI has the potential to drive advancements in fields, such as material science, complex system optimization, and encryption by rapidly solving intricate problems that traditional computers struggle with. One of the key benefits of Quantum AI is its ability to significantly improve machine learning models by efficiently handling large datasets and performing computations that are currently unfeasible. As Quantum AI continues to evolve, it will catalyze innovation and progress in areas that were previously limited by traditional processing power. This type of AI is poised to revolutionize various industries. For example,

• Quantum AI has the potential to speed up the identification of new molecules for potential therapeutic drugs in the field of drug discovery. With its ability to simulate complex chemical reactions with exceptional accuracy, it may lead to significant advancements in treating diseases that have been difficult to address. The potential impact on human health could be revolutionary.
• In the finance sector, Quantum AI has the potential to revolutionize risk evaluation and portfolio management. Through the analysis of detailed market data and considering countless variables simultaneously, it could offer valuable insights that provide investors with a substantial advantage. It might be able to forecast market patterns with a level of precision that would render today's top algorithms as mere guesswork.

Quantum AI has the potential to enhance climate modeling by improving the accuracy of predictions for climate change and its impacts, which is essential for developing effective mitigation strategies. In the field of cybersecurity, Quantum AI could present both significant risks, such as potentially compromising current encryption methods, and opportunities, such as creating new quantum-resistant encryption. The transformative capabilities of Quantum AI have implications for almost every sector. In manufacturing, it has the potential to enhance supply chains and production processes to an extent that is currently hard to imagine. In transportation, it has the potential to transform traffic management and autonomous vehicle technology. In the energy sector, it could accelerate the development of new, more effective renewable energy technologies.

Major tech companies and startups alike are investing heavily in this field, and governments around the world are launching initiatives to support quantum research and development. Also, players are collaborating to accelerate the development of this form of AI. 예를 들어,

• In July 2024, Zapata and D-Wave formed a partnership to enhance the fusion of quantum AI. The aim of this collaboration is to speed up the development and implementation of combined quantum and generative AI solutions on D-Wave’s Leap cloud platform.

Thus, the popularity of quantum AI will create artificial intelligence market growth opportunities.

How is the market segmented, and what are the key insights from the segmentation analysis?

By Component Insights

Rise in Adoption in Several Industries to Aid Growth of AI Software

On the basis of component, the market is segmented into hardware, software, and services.

The Software segment dominates the market in 2024. Demand for AI solutions is increasing as AI software plays a critical role in the entire AI workflow process.  A variety of end-to-end AI software platforms are now accessible, offering tools to simplify the training of models for non-data scientists. This reduces reliance on hiring specialists and speeds up development and time-to-market. Additionally, numerous software tools are employed to leverage hardware capabilities and enhance resource management and code efficiency, thus boosting the overall performance of software applications.

Moreover, in the coming years, the services and hardware segments are expected to grow at an appreciable rate. Companies, including NVIDIA Corporation and Hewlett Packard Enterprise Development LP, are continuously developing their AI hardware solutions. Investments in these solutions are expected to increase the global demand for tools and related services.

By Deployment Insights

Cloud Based Deployment is in High Demand Due Rising Organization’s Increased Usage of Cloud Computing Technologies

Based on deployment, the market is segmented into cloud and on-premise.

The cloud dominates the market in 2024. AI keeps developing daily; for instance, the ongoing trend of generative AI has pushed companies to invest in and develop AI tools. This indicates growing demand for cloud solutions across the globe. Moreover, the surge in adopting cloud computing technologies amid the pandemic has further contributed to rising cloud deployments .

On-premise is expected to grow significantly in coming years. On-premise solution ensures that data stays within a specific geographic region, which is crucial for companies operating in jurisdictions with strict data sovereignty laws.

By Enterprise type Insights

AI is Majorly Adopted by Large Businesses for Better Productivity

Based on enterprise type, the market is bifurcated into large enterprises and small and medium-sized enterprises.

The large enterprises segment captured a large market share in 2024. IBM reports that approximately 42% of large enterprises have implemented AI in their business operations, while 59% of IT professionals at these organizations have confirmed the active deployment of AI.< /p>

The small and medium-sized enterprises segment is expected to register the highest CAGR during the forecast period. Utilizing AI technologies can enhance innovation and performance of SMEs in multiple areas, including financial management, sales & marketing, human capital management, and product development. A SAP study suggests that SMEs can anticipate a 6-10% increase in their revenue by adopting AI.

By Function Insights

Service Operation Dominates Market Due to its Rising Popularity

Based on function, the market is categorized into human resources, marketing & sales, product/service deployment, service operation, risk, supply-chain management, and others.

The service operation segment dominates the market in 2024. Artificial intelligence minimizes service management work and further enhances customer service by solving problems more quickly. According to a recent BMC survey, 69% of businesses are implementing advanced technologies, such as artificial intelligence in their IT service management and IT operations management processes, which are called ServiceOps. The reason for integrating AI into their services was to improve operational efficiencies.

Risk, supply chain management, and marketing/sales functions have been adopting AI at an accelerated pace. These business functions have been leveraging AI to make the most of the technology and enhance their customers’ experience. Thus, in the coming years, these segments are expected to showcase a promising growth rate.

By Technology Insights

Machine Learning Technology Leads Due to its Higher Adoption for Accuracy and Precision

By technology, the market is segmented into machine learning, natural language processing, computer vision, robotics and automation, expert systems.

The machine learning segment dominated the market and is estimated to record the highest CAGR during the forecast period as this technology has the ability to improve accuracy and precision of various tasks. It can also process vast amounts of data and identify patterns that might be overlooked by humans. By identifying trends, correlations, and anomalies, machine learning helps businesses and organizations make data-driven decisions. As per Fortune Business Insights, the global machine learning market value is estimated to reach around USD 50 billion by 2025.

The natural language processing segment is expected to grow significantly during the forecast period. With the help of NLP technologies, such as Interactive Voice Response (IVR), virtual assistants, real-time translation, and chatbots, the efficiency of various business operations is increasing. Natural language processing facilitates seamless collection of data as AI interacts with the customer directly. Also, it builds agility in synchronization of huge data, helps optimize operation cost, and helps enhance business productivity. Technological advancements have brought tremendous accuracy and enhanced productivity in industries.

By Industry Insights

우리 보고서가 귀하의 비즈니스 최적화에 어떻게 도움이 되는지 알아보려면, 분석가와 상담하세요

IT & Telecom Segment to Capture Maximum Market Share Owing to Rising Business Complexity 

Based on industry, the market has been divided into healthcare, automotive, retail, BFSI, manufacturing, agriculture, government and public sector, IT & telecom, energy & utilities, and education.

The IT & telecom segment dominated the market in 2024. The pandemic has transformed the way businesses operate, moving most IT and telecommunication companies processes to the cloud. The trend of enterprises transitioning to the cloud has become a major factor behind the generation of large amounts of data. This has led to the need for immediate processing, which has been a limiting factor in cloud computing processes. Due to this, the IT & telecom industry segment held the highest market share in 2024.

The healthcare industry segment is expected to record the highest CAGR during the forecast period due to the rising development of artificial intelligence applications specifically targeting this industry. AI is being utilized by healthcare institutions to enhance the efficiency of various processes, ranging from administrative tasks to patient care. According to an IBM study, approximately 64% of patients are open to the use of AI for 24/7 access to answers that support nurses provide. AI can also be employed to detect errors in how patients self-administer medication. For example, as per Nature Medicine study, up to 70% of patients do not adhere to the prescribed dosage of insulin. An AI-powered tool, much like a Wi-Fi router in the patient's environment, can be utilized to identify mistakes in the way a patient uses an insulin pen or inhaler.

REGIONAL OUTLOOK

The market is geographically studied across North America, South America, Europe, the Middle East & Africa, and Asia Pacific, and each region is further studied across countries.

북미

이 시장의 지역 분석에 대한 자세한 정보를 얻으려면, 무료 샘플 요청

North America dominates the market due to the presence of hyper scalers, such as IBM Corporation, Microsoft Corporation, and others. The recent ongoing generative AI trend has pushed these hyper scalers to upgrade their AI technologies and develop solutions that will cater to changing user requirements. In 2023, around 25% of investments in American start-ups went to AI-related companies. Furthermore, North America plays a vital role in AI technological innovations. Owing to the above-mentioned reasons, the region dominates the market.

무료 샘플 요청 이 보고서에 대해 자세히 알아보려면.

The artificial intelligence industry in the U.S. is expected to experience a strong growth rate during the forecast period. The U.S. has many newly-funded AI companies. According to the AI index report 2022, 1,392 AI companies worldwide received funding of more than USD 1.5 million each, with the U.S. accounting for 542 of these companies. Furthermore, around 73% of the U.S. companies use AI in some aspect of their business. Generative AI has witnessed significant growth and investment in recent years in the U.S., and as per Fortune Business Insights, the generative AI market in the U.S. reached USD 22.5 billion in 2024. According to a Skynova survey in 2023, nearly 80% of U.S.-based small business owners were optimistic about their AI deployments. Furthermore, the U.S.-based respondents were asked about the AI tool they used for sales, marketing, and other use cases, the responses of which are provided in the tabular format below.

아시아 태평양

Asia Pacific is estimated to witness the highest CAGR during the forecast period, due to increasing investments in Artificial Intelligence. These investments surged due to the pandemic as the crisis changed how businesses operated; countries across the region adopted AI technologies. Among these countries, India is estimated to register the highest CAGR during the forecast period. India’s 2024 AI adoption index score is 2.47 compared to 2.45 in 2022, and 87% companies are in the middle stages of Enthusiast and Expert AI adopters. AI can add nearly USD 500 billion to India’s GDP by 2025.

유럽

Europe is expected to show significant market growth during the forecast period due to its richness in large volumes of public and industrial data, which holds the potential for developments in AI. The U.K. dominates the European market.

Highlights of the U.K. AI landscape:

• The U.K. ranked 4^th in the world in terms of private investment in AI in 2023. (According to the government of U.K.)
• The U.K. leads in Europe for patenting activity.
• London is the major source for AI-related developments in Europe.
• The U.K. leads in the establishment of AI-dedicated research institutes, R&D activities, and has a large pool of AI and software skills talent across the region.
• The U.K. leads the race in AI developments for the European region.

중동 및 아프리카

The Middle East & Africa is anticipated to grow at a healthy rate. AI technologies are projected to be a major source of revenue for the region in the coming years. The annual growth rate in AI contribution is expected to be between 20% and 34% across the region, with the UAE experiencing the fastest growth, followed by Saudi Arabia.

남미

The South American market is likely to register a steady growth rate over the forecast period. However, Brazil is expected to offer a healthy future for the growth and development of digital businesses. The country showcases a similar growth in the adoption of AI technologies due to technological advancements, internet penetration, and digitalization capabilities. These economic factors will boost the adoption of AI among the local players, further increasing expansion opportunities for global players and encouraging entrepreneurs.

경쟁 환경

주요 업계 플레이어

Market Players to Opt for Merger & Acquisition Strategies to Expand their Presence

Key players operating in the market are upgrading their existing AI solutions to keep up with the changing user requirements. With the recent trend of generative AI tools, companies are upgrading their product portfolio with AI technologies. In addition to the existing AI enhancements, the key players in the AI market are seeking relevant partnerships and acquisitions to offer its clients advanced and enhanced services. This strategy is being adopted by players to combine the best of their own concepts and capabilities with the expertise of acquired partners and technologies available in the market.

List of Key Companies Profiled:

• Microsoft Corporation (U.S.)
• Amazon.com, Inc. (U.S.)
• IBM Corporation (U.S.)
• Alphabet Inc. (Google LLC) (U.S.)
• Salesforce.com, Inc. (U.S.)< /li>
• Baidu, Inc. (China)
• NVIDIA Corporation (U.S.)
• H2O.ai (U.S.)
• Oracle Corporation (U.S.)
• Hewlett Packard Enterprise Development LP (U.S.)
• Cisco (U.S.)
• 알리바바 클라우드 (중국)
• Huawei (China)
• Appier (Taiwan)
• Gamaya (Switzerland)
• Hailo (Israel)
• Lumen5 (Canada)
• Graphcore (U.K.)

What Are the Latest Key Industry Developments?

• September 2024 – Salesforce and IBM entered a collaboration agreement for delivering AI and autonomous agents for improving productivity, decision-making, and efficiency.
• September 2024 – Oracle introduced advanced AI features in the Oracle Fusion Cloud Applications Suite that will help customers in effectively carrying out intricate tasks, streamlining workflows, and enhancing productivity.
• September 2024 – A new conversational shopping assistant called Rufus, powered by generative AI, was introduced by Amazon India. Rufus allows natural language interactions within the Amazon app, simplifying the process of asking questions about products, receiving recommendations, and comparing products, according to the company.
• September 2024 – NVIDIA and Salesforce collaborated for developing advanced AI capabilities for businesses, focusing on autonomous agent and interactive avatar experiences. The aim of the collaboration is to enhance predictive and generative AI workflows by combining the NVIDIA AI platform, which features accelerated computing and AI software, with the Salesforce Platform and Agentforce.
• July 2024 – H2O.ai unveiled the H2O-Danube3 series, the new inclusion to its range of small language models. This series consists of the H2O-Danube3-4B and the streamlined H2O-Danube3-500M, which aim to promote Natural Language Processing (NLP) and provide advanced capabilities to a broader user base.

What are the Key Factors Influencing Investment Analysis & Opportunities in AI Market?

Several small-sized companies are securing funds to speed up and enhance their Artificial Intelligence ecosystem.  As compared to non-AI startups, AI startups are witnessing considerably higher valuations, and this gap continues to widen as they progress. During the B-series funding stage, AI startups are valued 60% higher than their non-AI counterparts. The funding for AI experienced a substantial surge in 2023, with investments in generative AI alone reaching USD 25.2 billion, marking an almost eight-fold increase from 2022. AI-focused startups raised USD 12.2 billion through 1,166 deals in Q1 2024, reflecting a modest 4% increase from the USD 11.7 billion invested in 1,072 deals during Q4 2023. In February 2024, AI companies secured USD 4.7 billion in venture funding, representing over 20% of the total venture capital invested in February.

보고서 적용 범위

The report provides a detailed market analysis. It focuses on key points, such as leading companies, offerings, and applications. Besides this, it offers an understanding of the latest market trends and highlights key industry developments. In addition to the above-mentioned factors, the report contains several factors that have contributed to the growth of the market in recent years.

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• 공부 기간: 2019-2032
• 기준 연도:2024
• 과거 데이터: 2019-2023
• 페이지 수: 150

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관련된 보고서

• Artificial Intelligence (AI) Camera Market
• Artificial Intelligence (AI) Chipsets Market
• Artificial Intelligence (AI) in Retail Market
• Generative Artificial Intelligence AI in Healthcare Market
• Artificial Intelligence of Things Market

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