Artificial Intelligence Platform Market Key Manufacturers, Development Trends

Artificial Intelligence Platform Market

The Artificial Intelligence Platform Market report published by Data Bridge Market research is the representation of data and analysis of the market. It gives detailed analysis of the current market scenario and a market forecast till 2026. The data included in this Artificial Intelligence Platform Market report provides detailed information of the geographic landscape, competitive scenarios and upcoming opportunities in the Industry. The inclusion of the statistical records in the XYZ report helps in authenticating the results that are being presented and thus provide a clear vision and indication to clients in understanding the response of the participants.

The Global Artificial Intelligence Platform Market accounted for USD 2.34 billion in 2017 and is projected to grow at a CAGR of 31.2% the forecast period of 2018 to 2025.

Market Definition: Global Artificial Intelligence Platform Market

Artificial Intelligence (AI) is a creation of wise and smart machines that work, respond and react like people. It is utilized to enhance the proficiency of day by day undertakings. Advancing innovation, selection of robots and drones, driverless tractors, crop health checking, and automated water system framework are a part of the applications that credited to the high development of the global artificial intelligence in agriculture (AIA) showcase

Top Manufacturers Covered in the Report:

The renowned players in the global artificial intelligence platform market are Welltok, Inc., Intel Corporation, Nvidia Corporation, Google Inc., IBM Corporation, Microsoft Corporation, General Vision, Enlitic, Inc., Next IT Corporation, iCarbonX, Amazon Web Services, Apple, Facebook Inc., Siemens, General Electric, Micron Technology, Samsung, Xillinx, Iteris, Atomwise, Inc., Lifegraph, Sense.ly, Inc., Zebra Medical Vision, Inc., Baidu, Inc., H2O ai, Enlitic, Inc. and Raven Industries.

Market Segmentation: Global Artificial Intelligence Platform Market

• The global artificial intelligence platform market is based on component, deployment mode, application, end-user, and geographical segments.
• Based on component, the global artificial intelligence platform market can be segmented into tools and services. Tools can be further sub segmented into NLP (Natural Language Processing) and ML (Machine Language). Services can be further sub segmented into managed and professional.
• Based on deployment mode, the global artificial intelligence platform market can be segmented into cloud and on-premises.
• Based on application, the global artificial intelligence platform market can be segmented into forecasts and prescriptive models, chat-bots, speech recognition, text recognition, and others (face detection and sentiment analysis).
• Based on end user, the global artificial intelligence platform market can be segmented into manufacturing, healthcare, BFSI, research and academia, transportation, retail and e-commerce, and others (oil and gas, and advertising).

Regional analysis for Artificial Intelligence Platform Market includes:

• North America
• Latin America
• Europe
• Asia Pacific & Japan
• The Middle East and Africa

Some of the key questions answered in this report:

• Detailed Overview of Artificial Intelligence Platform Market helps deliver clients and businesses making strategies.
• Influential factors that are thriving demand and constraints in the market.
• What is the market concentration? Is it fragmented or highly concentrated?
• What trends, challenges and barriers will impact the development and sizing of Artificial Intelligence Platform Market?
• SWOT Analysis of each key players mentioned along with its company profile with the help of Porter’s five forces tool mechanism to compliment the same.
• What growth momentum or acceleration market carries during the forecast period?

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Data Bridge Market Research set forth itself as an unconventional and neoteric Market research and consulting firm with unparalleled level of resilience and integrated approaches.