人工智能市场规模，股份和行业分析，按组件（硬件，软件，服务），部署（本地，云），企业类型（大型企业，中小型企业），通过功能（人力资源） ，营销和销售，产品/服务部署，服务运营），通过行业（医疗保健，汽车，汽车，零售，零售，BFSI，制造业，农业，农业，农业政府和公共部门）和区域预测，2025年�2032

全球人工智能市场规模在2024年的价值为234.6亿美元。预计该市场将从2025年的2,941.6亿美元增长到2032年的1,7716.62亿美元，在预测期间显示出29.2％的复合年增长率。

使用机器模拟人类智能过程被称为人工智能。它涉及智能软件和硬件的开发，以模仿人类的能力，例如学习和解决问题。许多公司正在转向AI来分析其数据以做出明智的决策，大约有35％的企业已整合了AI，而使用该技术的10个组织中有9个企业在市场上保持领先地位。全球各国政府正在对AI研发和发展进行大量投资，据高盛（Goldman Sachs）称，全球AI投资预计到2025年将达到2000亿美元。

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上面的统计数据展示了2023年全球领先的机器学习初创公司筹集的资本。与过去三年相比，从2020 - 2021年的统计数据的变化表明，AI投资一直保持一致。这表明，1923年，COVID-19大流行加速了全球机器学习初创公司的资金。根据Writerbuddy的说法，Openai占据了AI资金的占主导地位，为110亿美元。 Anthropic是由Openai的前雇员创立的下一个资金大量资助的AI创业公司。

COVID-19大流行对企业的运营产生了影响，从而产生了更大的复杂性。公司通过将其工作流程转移到云中来回应这些变化。这导致采用先进技术，例如人工智能，机器学习等。医疗保健领域是该技术的早期采用者，从而提高了诊断，治疗和预测的准确性和效率。例如，一项从2022年1月开始的研究表明，雷恩斯特里夫研究所和印第安纳大学的研究人员### 791852使该机器学习（ML）算法可以在大流行期间有助于公共卫生决策。

生成AI对行业有什么影响？

AI技术继续主导着Chatgpt

生成的AI工具具有生成类似人写作的文本，涵盖了各种任务，例如编写短篇小说，撰写学期论文和音乐，解决数学问题，编码基本程序和执行翻译。 Openai报道说，在2022年11月发布的五天内，其AI工具Chatgpt吸引了超过一百万用户。下面的统计数据说明了流行的在线服务获得相同数量的用户所花费的时间。相比之下，其他著名的在线平台需要更长的时间才能达到一百万用户的里程碑。

"What are the key AI market trends, breakthroughs, and investment opportunities that will shape the next decade?"

The AI market stands at the brink of a seismic shift, fueled by groundbreaking advancements in quantum AI, neuromorphic computing, and next-gen generative models. Over the next decade, we’ll witness an explosion of investment in AI-driven automation, precision medicine, autonomous systems, and ethical AI governance. But the real game-changer lies in industry convergence—where AI seamlessly intertwines with biotech, finance, and IoT, reshaping entire ecosystems. As AI moves beyond mere efficiency into realms of creativity and autonomous decision-making, businesses must not only adopt but anticipate these disruptions. The future belongs to those who don’t just keep pace with AI’s evolution but actively shape it.

市场动态

市场驱动因素

Increasing Adoption of AI Assistance for Human Agents to Boost Market Growth

AI certainly empowers contact centers with customer-experience chatbots to assist with common inquiries and guide customers to relevant resources. By 2024, AI will support virtual agents by serving as agent assistants. One example is AI's ability to analyze customer sentiment and offer suggested responses to aid human agents in delivering improved customer service. Additionally, AI can handle some of the repetitive tasks that agents usually carry out, such as summarizing and categorizing conversations for future reference.

AI provides comprehensive support for all customer service offerings, handling basic tasks to minimize agent requests. When human agents are needed, AI enhances their effectiveness to improve customer interactions across all touchpoints. As AI advances, it will offer even greater capabilities to assist human agents. Therefore, the adoption of AI assistance for human agents is driving the artificial intelligence market share.

市场约束

Challenges Associated with All-at-Once Adoption of AI Tools Can Hamper Market Growth

The lack of AI talent in developing countries, challenges associated with the all-at-once adoption of AI tools, and the black box effect account for the market's restraining factors. Companies have upgraded their solutions to counter these factors with more ethical and explainable AI models to eliminate the black box effect. The black box effect means that the AI algorithms sometimes develop results that are not easily verified. The outcomes of these algorithms may have a hidden bias that is difficult to spot. 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.

市场机会

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.例如，

• 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

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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.

北美

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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.

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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.

亚太地区

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.

欧洲

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.

中东和非洲

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.

南美

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.

竞争格局

关键行业参与者

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。（美国）
• IBM Corporation（美国）
• Alphabet Inc. (Google LLC) (U.S.)
• Salesforce.com, Inc. (U.S.)
• Baidu, Inc. (China)
• NVIDIA Corporation (U.S.)
• H2O.ai (U.S.)
• Oracle Corporation（美国）
• Hewlett Packard Enterprise Development LP (U.S.)
• 思科（美国）
• 阿里巴巴云（中国）
• 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.

报告覆盖范围

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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