The Global Artificial Intelligence Engineering Market report provides full coverage of the companies’ data, including details about their production and manufacturing capacity, product portfolio, business overview, revenue, gross profit margins, sales network and distribution channel, financial standing, and market position. The report also studies business strategies and strategic alliances undertaken by companies to gain a robust footing in the market.
Rapid adoption of automation in various sectors is expected to support market revenue growth during the forecast period. Moreover, increase in private investment for R&D of AI is expected to boost market growth.Adoption of automation in various sectors involves integrating automation with various business operations and thereby reducing manual labor significantly. It also involves automation of data collection and preprocessing, which is another major factor driving growth of the global AI engineering market revenue.
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The report offers a complete analysis of the global Artificial Intelligence Engineering market with details about each market player including company profile, financial standing, global position, revenue contribution, production and manufacturing capacity, business expansion plans, and new product launches. Key players are strategizing various plans such as M&A acquisition, partnerships, joint ventures, license agreement and collaborations. Google LLC, International Business Machines Corporation, Intel Corporation, Baidu, Inc., Oracle Corporation, Salesforce.com, Inc., Cisco Systems, Inc., Meta Platforms, Inc., Siemens AG, and Nvidia Corporation. and others are some of the top companies profiled in the report.
The report also covers the scope of individual applications and types in each region. The report also covers details about production and consumption patterns, technological developments, revenue growth, market size, market share, key trends and demands influencing market growth in the region, and robust presence of key players in the region.
Some key findings from the report suggest
- Software segment revenue is expected to grow at a rapid CAGR during the forecast period, due to rising demand for enterprise AI software that mimics human behavior by learning various data patterns and insights, and also helps in decision-making.
- On-cloud segment is expected to register a significantly robust revenue growth rate over the forecast period, due to availability of virtual machines with powerful Graphics Processing Units (GPUs), which enable the user to perform advanced computation.
- North America is expected to account for a larger revenue share in the global AI engineering market over the forecast period as compared other regional markets, due to robust presence of international and domestic AI solution providers for large enterprises, such as Google LLC, Cisco Systems, Inc., Meta Platforms, Inc., and Oracle Corporation, among others.
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For this report, Emergen Research has segmented the global AI engineering market on the basis of solutions, technology, end-use, deployment, and region:
- Solutions Outlook (Revenue, USD Billion; 2018–2030)
- Technology Outlook (Revenue, USD Billion; 2018–2030)
- Deep Learning
- Machine Learning
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
- Natural Language Processing
- Speech Recognition
- Optical Character Recognition (OCR)
- Semantic Search
- Sentiment Analysis
- Computer Vision
- End-use Outlook (Revenue, USD Billion; 2018–2030)
- Automotive & Transportation
- Business Management
- Deployment Outlook (Revenue, USD Billion; 2018–2030)
Regional segmentation comprises of a current and forecast estimation of the market in the key geographical regions such as North America, Europe, Asia Pacific, Latin America, and Middle East & Africa.
The report addresses the following key points:
- The report provides a forecast of market drivers, restraints, and future opportunities for the Artificial Intelligence Engineering market
- The report further analyses the changing market dynamics
- Regional analysis and segmentation of the market with analysis of the regions and segments expected to dominate the market growth
- Extensive competitive landscape mapping with profiles of the key competitors
- In-depth analysis of business strategies and collaborations such as mergers and acquisitions adopted by the key companies
- Revenue forecast, country scope, application insights, and product insights
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