The growth of this market is driven by the growing usage of big data technology in manufacturing, Industrial IoT, extensive usage of robotics, computer vision technology, cross-industry partnerships and collaborations, and significant increase in venture capital investments. However, reluctance among manufacturers to adopt AI-based technologies is the major factors restraining the growth of the AI in manufacturing market.
Computer vision technology currently holds the largest market share among AI technologies. This demand has grown since the companies have started to structure the machine’s data for predictive analysis.
Moreover, the growing usage of internet and connected devices along with huge volumes of machine data is driving the growth of the AI in manufacturing market.
In recent years, major software vendors such as IBM Corporation, Microsoft Corporation, and Alphabet Inc.
have started offering cognitive applications and cognitive software platforms. Moreover, many start-ups such as DataRPM, Clearpath Robotics Inc., Sight Machine, Preferred Networks Inc., SkyMind Inc., Kespry Inc., and AIBrain, Inc.are bringing intelligent software solutions in manufacturing.
The booming venture capital market for AI software-based start-ups and usage of big data technology are driving the growth of the AI in manufacturing market for the software segment. The global market is projected to grow at a CAGR of +35% by 2022 the software segment held the largest share of the AI in manufacturing market in 2016.
The growing demand for software-based AI solutions and the presence of major software companies providing AI software are expected to drive the growth of this market. By technology, the Artificial Intelligence in manufacturing market has been segmented into deep learning, computer vision, context awareness, and natural language processing (NLP).
Currently, computer vision holds the largest share among AI technologies. The demand has grown since the companies have started to structure the huge volume of manufacturing data for predictive analysis.
The deep learning technology, which includes image recognition, signal recognition, and data mining, is expected to witness the highest CAGR during the forecast period.
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This report studies the global Artificial Intelligence Software market, analyzes and researches the Artificial Intelligence Software development status and forecast in United States, EU, Japan, China, India and Southeast Asia. This report focuses on the top players in global market, like, H2O, Braina, nanoRep, Reach Accountant, IPsoft, A.L.I.C.E.
AI Foundation, Ada Support, Astute Solutions, Axonize and Ideal.
Market segment by Regions/Countries, this report covers: United States, EU, Japan, China, India and Southeast Asia
Market segment by Type, Artificial Intelligence Software can be split into: Deep Learning, Robotics, Digital Personal Assistant, Querying Method, Natural Language Processing, and Context Aware Processing.
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Vendors, stakeholders, consumers, dealers. in the global Artificial Intelligence Software market are increasingly introducing a solution that allows this market to work with data collected from a number of diverse sources.
The confidence, reliability of data-driven decisions undertaken by solutions in real-time, self-service analytics solutions which will gain more prominence in the global market in the next coming years has been mentioned in this study.
Of the key modes of deployment, applications, trends, types, are thoroughly observed in this report for consumers understanding. Based on geography, the report examines the market for Artificial Intelligence Software across regions such as North America, Europe, Asia-Pacific, Middle East, and Latin America.
The dominant regional market and the fastest growing regional market is also mentioned clearly for the better of the readers.
The report also presents a thorough overview of the competitive landscape of the global Artificial Intelligence Software market and the detailed business profiles of the market’s notable players. Threats and weaknesses of leading companies are measured by the analysts in the report by using industry-standard tools such as Porter’s five force analysis and SWOT analysis.
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