Growing urbanization, the need for efficient management & utilization of resources, demand for fast & efficient transport and commute, public safety concerns, and rising demand for a healthy environment with efficient energy consumption propel the demand for smart cities, driving the growth of the AI. market.
New York, Jan. 09, 2023 (GLOBE NEWSWIRE) — Reportlinker.com announces the release of the report “Artificial Intelligence Market by Component, Deployment, Application, and End-User Industry : Global Opportunity Analysis and Industry Forecast, 2022–2030. ” – https://www.reportlinker.com/p06379283/?utm_source=GNW
In addition, AI has been extensively utilized in smart home infrastructure management for gathering data from home automation devices, predicting user behavior, providing maintenance information, and enhancing data security and privacy.
The lack of technical personnel with the appropriate experience and training to implement and operate AI solutions is a major obstacle to the growth of the AI market. In contrast, businesses with specialized technology companies and manufacturing units that require high efficiency are anticipated to adopt robots built into artificial intelligence (AI). This will present ample opportunities for the key players in the AI market in the next decade.
The global AI market is segmented based on type, end-user, and geography.
– Based on components, the market is classified into hardware, software, and services.
– Based on deployment, the market is categorized into cloud and on-premise.
– Based on application, the market is categorized into virtual assistants/chatbots, forecasts & modeling, text analytics, speech analytics, computer vision, predictive maintenance, and others.
– Based on end-users, the market is categorized into BFSI, government, aerospace and defense, automotive, healthcare IT & telecom, manufacturing, education, retail & e-commerce, energy & utilities, media & entertainment, and others.
– Region-wise, the market is segmented into North America, Europe, Asia-Pacific, and Row.
The North American region is projected to hold the dominant share by 2030.
North America has been at the forefront of AI research and development for decades. North America is home to a large number of technology firms, as well as a multitude of research and development institutions. The United States, Canada, and Mexico are among the major markets for AI-based services and technologies.
In addition, the expanding number of start-ups and government assistance, as well as the increasing use of machine learning to create novel therapeutic and diagnostic procedures in the medical field, are all contributing to the expansion of the regional market. Moreover, US companies are leading innovation in specific branches of artificial intelligence, including network analysis and face recognition for Facebook, and consumer analytics for Amazon.
These companies are developing commodity systems that can be harnessed by the broader business community, large and small, rather than using AI for their own purposes. In North America, AI is used most actively for customer service, research and development, manufacturing, and operations. The factors above are responsible for the growth of the regional AI market.
Key Market Players
The emerging and leading players in the AI market include:
• Microsoft Corporation
• NVIDIA Corporation
• Intel Corporation
• Oracle Corporation
• SAP SE
• Apple Inc.
SAP SE announced the acquisition of a search-driven analytics firm, Askdata. This acquisition helped German multinational companies to provide better-informed decisions by leveraging AI-driven natural language searches.
Alphabet Inc.’s Google launched Vertex AI, a new managed AI platform in the workspace. This new platform democratizes AI by accelerating the adoption of machine learning models across businesses, allowing for the deployment of models in production, ongoing monitoring, and the use of AI to generate business impact.
Apple announced the strategic acquisition of AI Music, which uses artificial intelligence to generate tailor-made music. This acquisition would increase Apple’s audio technology that could be used across its slate of audio offerings.
AWS launched a machine learning (ML)-powered service, Amazon CodeWhisperer. This service helps increase developers’ productivity by offering code suggestions based on their natural remarks and earlier code.
Salesforce launched a new service and marketing cloud innovation that uses trusted data and AI-powered conversational intelligence for customers. These technologies help service teams and marketers to create more personalized experiences for every industry, including retail, manufacturing, and healthcare.
HP launched the new HPE Machine Learning Development System. The new system integrates machine learning software platform, computing, accelerators, and networking to develop & train more accurate AI models faster and at scale.
IBM announced a partnership with NeuReality to develop AI inference platforms. This partnership evaluated NeuReality’s products for use in IBM’s Hybrid Cloud, including AI use cases, system flows, virtualization, networking, and security.
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