市场调查报告书
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全球企业人工智慧市场2024-2031Global Enterprise Artificial Intelligence Market 2024-2031 |
企业人工智慧市场规模、份额和趋势分析报告,按组件(解决方案和服务)、技术(机器学习和深度学习以及自然语言处理(NLP))、应用(安全和风险管理、行销管理、客户)支持和经验、人力资源和招聘管理、分析应用程式和流程自动化)、按部署类型(云端和本地)和组织(大型企业和中小企业)预测期(2024-2031)
预计企业人工智慧 (AI) 市场在预测期内(2024-2031 年)将以 27.6% 的复合年增长率成长。全球企业人工智慧市场归因于人工智慧技术的进步、资料可用性的不断增加以及对提高业务效率和竞争力的需求。由于机器学习、深度学习、自然语言处理、巨量资料分析和物联网整合的进步,企业正在采用人工智慧。人工智慧驱动的自动化解决方案有助于简化任务、减少错误并提供个人化产品。此外,人工智慧还提供成本节约、可扩展性以及透过创新在市场中脱颖而出的能力。支持性监管框架和道德准则也正在推动人工智慧的采用,创造一个鼓励创新的环境。
Enterprise Artificial Intelligence Market Size, Share & Trends Analysis Report by Component (Solution, and Services), by Technology (Machine learning and deep learning, and Natural Language Processing (NLP)), by Application (Security and Risk Management, Marketing Management, Customer Support and Experience, Human Resource and Recruitment Management, Analytics Application, and Process Automation), and by Deployment Type (Cloud, and On-Premises) and by Organization (Large Enterprises, and Small And Medium Enterprises) Forecast Period (2024-2031)
Enterprise artificial intelligence (AI) market is anticipated to grow at a CAGR of 27.6% during the forecast period (2024-2031). The global enterprise AI market is attributed to advancements in AI technology, the increasing availability of data, and the demand for improved business efficiency and competitiveness. Enterprises are adopting AI owing to advancements in machine learning, deep learning, natural language processing, big data analytics, and IoT integration. AI-powered automation solutions help streamline tasks, reduce errors, and provide personalized offerings. Additionally, AI offers cost savings, scalability, and the ability to differentiate in the market through innovation. Supportive regulatory frameworks and ethical guidelines are also driving the adoption of AI, fostering an environment that encourages innovation.
Market Dynamics
Increased Data Availability
The growing data availability from IoT devices, social media, and business operations is transforming AI systems, enabling enterprises to gain insights, automate processes, and improve decision-making. In May 2024, Google Cloud Consulting launched the Generative AI Ops service aims to assist enterprises in transitioning new AI workloads into production. The service provides a team of experts to assist companies in navigating the complex process of generative AI systems design, large language model architectures, and prompt engineering.
Increased Innovation and Competitive edges
By promoting rapid development of products and process optimization, generative AI can increase innovation and provide businesses a competitive edge which is promoting enterprises to adopt AI solutions. To cater to the demand of enterprise, in May 2023, Cognizant launched Cognizant Neuro AI, an enterprise-wide platform designed to accelerate the adoption of generative AI technology. The platform uses Cognizant's consulting, advisory, ecosystem partnership, digital studios, solutions, and delivery capabilities to help clients transition into the era of generative AI. It guides firms through the journey of understanding, consuming, and customizing AI models.
Market Segmentation
Cloud-based is Projected to Emerge as the Largest Segment
The high demand for deployment of sophisticated, effective, and scalable AI applications by enterprises, owing to technological developments in deep learning methods, hardware, and AI algorithms is a key factor contributing to the high share of this market segment. In November 2023, NeevCloud launched India's first AI SuperCloud, aiming to make the country self-reliant on AI and supercomputing by 2026. The company deployed AI cloud infrastructure with 40,000 GPUs and $1.5 billion worth of storage, democratizing access to AI and supercomputing for enterprises and startups.
Large Enterprises Sub-segment to Hold a Considerable Market Share
Good customer experience is vital for large enterprises to operate, AI enhances customer experience by developing personalized experiences, resulting in increased satisfaction and loyalty, a crucial competitive advantage. The high adoption of enterprise AI by large enterprises drives the growth of this market segment. In August 2023, Google unveiled new AI chips, an enterprise-scale tool for watermarking and identifying images, and partnerships with General Motors and Estee Lauder Companies at its Google Next conference, aiming to bring AI technology to large businesses.
The global enterprise AI market is further segmented based on geography including North America (the US, and Canada), Europe (UK, Italy, Spain, Germany, France, and the Rest of Europe), Asia-Pacific (India, China, Japan, South Korea, and Rest of Asia-Pacific), and the Rest of the World (the Middle East & Africa, and Latin America).
North America Holds Major Market Share
The Government initiatives and supportive regulatory frameworks are promoting the widespread adoption of AI technologies across various sectors. For instance, in November 2023, the US Department of State unveiled its first-ever enterprise AI strategy, establishing a centralized vision for AI innovation, infrastructure, policy, governance, and culture. The strategy aims to ensure the ethical and responsible use of AI, including protecting data security and privacy, while leveraging AI for public diplomacy, language translation, and more.
The major companies serving the enterprise AI market include Accenture PLC, IBM Corp., Microsoft Corp., Oracle Corp., and Siemens AG among others. The market players are increasingly focusing on business expansion and product development by applying strategies such as collaborations, mergers and acquisitions to stay competitive in the market. For instance, in February 2024, Wipro launched the Wipro Enterprise AI-Ready Platform, a service that enables clients to create fully integrated, customized AI environments. The platform uses IBM's Watsonx AI and data platform to accelerate AI adoption and enhance operations. The partnership between Wipro and IBM aims to build joint solutions for robust, integrated, and enterprise-ready AI solutions.