Artificial Intelligence Engineering Market Size, Growth, In-depth Analysis, Research Report Forecast up to 2028: Key Players are People.ai Inc and Cisco Systems.

Key factors contributing to the global market expansion for artificial intelligence engineering include the growing demand for AI technology across various industry verticals. In addition, the increasing demand for business automation solutions is also positively contributing to the market prospects. Moreover, technological progress, increasing adoption of ML, NPL & IoT, and favorable government policies are anticipated to contribute to the growth of the global market during the analysis period.

However, high price and scarcity of skilled workforce coupled with a lack of knowledge, particularly in emerging economies, is hindering the growth of the global market for AI Engineering during the analysis period.

The growing adoption of automation technology across various end-user industries is fostering the artificial intelligence engineering market expansion.

Artificial intelligence engineering is an emergent field of practice and research that integrates computer science, systems engineering, software engineering, and human-centered design to develop AI systems that align with human demands for mission objectives. Deep learning programs, machine learning models, proficiency with natural language processing, neural network methods, and computer vision technologies are all used by AI engineers to create a variety of AI products to enhance productivity. Therefore, the growing demand for automation during production and manufacturing processes is one of the factors driving the growth of the AI Engineering market.

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The global market for artificial intelligence engineering is analyzed into the type of technology, deployment, solution, end user, and geography.

Based on the type of solution, the market is segmented into software, hardware, and services. The software segment is expected to hold a significant market share among the abovementioned ones. AI-driven software is used in various manufacturing processes, which improves productivity and helps in making informed decisions. Therefore, the growing demand for AI-based software solutions across various end-user industries is driving the growth of this segment.

The technology-wise segmentation of the AI engineering market includes deep Learning, Machine learning, natural language processing, and computer vision. According to the analysis, the machine learning segment is expected to have a significant market share during the forecasted period. The demand for machine learning models and solutions is driven by growing demand for real-time, data-centric, and forecasting software solutions. Furthermore, based on deployment mode, the artificial intelligence engineering market is categorized into Cloud and On-Premise. Therefore, the cloud-based segment is expected to hold a significant market share during the projection period.

Based on the end user, the market classification has been done into automotive, communication, manufacturing, healthcare, and others. Out of all these types, the automotive segment is expected to hold a significant market share during the analysis period. This is because automobile manufacturers have been using AI-driven robots on the assembly line, and they have progressed from doing simple technical duties to managing numerous precise motions.

Out of all the geographical regions North American region is expected to hold a significant market share in the global artificial intelligence engineering market. The market in this region is expanding quickly because of a well-established IT industry in countries such as the USA and Canada. In addition, the growing demand for AI-driven solutions by various end-user industries and favorable government policies also support the growth of the regional market during the analysis period. The North American AI engineering market is also predicted to rise significantly due to the presence of prominent market players in the region. In addition, the high adoption rate of advanced technologies such as AI, ML, and IoT also supports regional market growth.

Asia Pacific's artificial intelligence engineering market's expansion is due to fast industrialization and increased investments in countries such as China, Japan, and India.

The major global artificial intelligence engineering market players are Intel Corporation, Microsoft Corporation, Oracle Corporation, IBM Corporation, NVIDIA Corporation, People.ai Inc, Cisco Systems, Verint Systems, Salesforce, and Siemens AG.

This global artificial intelligence engineering market has been analyzed into the following segments:

• By Technology

o Deep Learning
o Machine Learning
o Natural Language Processing
o Computer Vision

• By Deployment

o Cloud
o On-premise

• By Solution

o Software
o Services
o Hardware

• By End-User

o Automotives
o Communications
o Manufacturing
o Healthcare
o Others

• By Geography

o North America

• United States
• Canada
• Mexico

o South America

• Brazil
• Argentina
• Others

o Europe

• United Kingdom
• Germany
• France
• Spain
• Others

o Middle East and Africa

• UAE
• Israel
• Saudi Arabia
• Others

o Asia Pacific

• Japan
• China
• India
• South Korea
• Thailand
• Taiwan
• Indonesia
• Others

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