06.08.2017 19:30:00
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At 52+% CAGR Artificial Intelligence in Manufacturing Market Potentially Worth $4,882.9 Million by 2023 Led by Deep Learning Technology
PUNE, India, Aug 6, 2017 /PRNewswire-iReach/ -- The Asia Pacific (APAC) is expected to be the fastest-growing region in the AI in manufacturing market during the forecast period. APAC, especially China, Japan, and South Korea, is considered as the largest market for industrial robots. The industrial robots generate a huge amount of data. This data is used in deep learning algorithm to train the robots further. This would act as one of the major drivers for the growth of AI in manufacturing market in APAC. Browse 61 Market Data Tables and 58 Figures spread through 189 Pages and in-depth TOC on "Artificial Intelligence in Manufacturing Market - Global Forecast to 2023"http://www.reportsnreports.com/reports/1148471-artificial-intelligence-in-manufacturing-market-by-offering-hardware-and-software-technology-deep-learning-computer-vision-context-awareness-and-natural-language-processing-application-industry-and-geogr-st-to-2023.html .
The AI in manufacturing market for the hardware segment is driven by easy technology transfer and participation of established market leaders. Hardware includes graphics processing unit GPUs, digital signal processing (DSPs), field programming gateway array (FPGAs), Microprocessors, and tensor processing unit (TPU) chips. This segment is expected to grow at the highest CAGR in the AI in manufacturing market for offering. The GPU, DSP, and FPGA are widely used to implement the deep learning algorithm. In terms of throughput, GPU is faster than FPGA, whereas in the case of power efficiency, FPGA is better than GPU. Keeping these factors in mind, the AI providers choose the hardware accordingly.
This report segments the AI in manufacturing market comprehensively and provides the closest approximations of the market sizes for the overall market segments and sub segments across different applications and regions. By industry, the market is segmented into semiconductor and electronics, energy and power, pharmaceuticals, automobile, heavy metals and machine manufacturing, food and beverages, others (textiles and aerospace). By geography, the market has been segmented into North America, Europe, Asia Pacific (APAC), and Rest of the World (RoW).
The AI in manufacturing market growth is driven by extensive usage of computer vision camera in machinery inspection, material movement, field service, and quality control. 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.
This report provides valuable insights into the ecosystem of the AI in manufacturing market including the software companies, and chipset and manufacturing related solution providers. The major players in the AI in manufacturing market are Siemens AG (Germany), Intel Corporation (US), NVIDIA Corporation (us), Alphabet Inc. (us), IBM Corporation, Microsoft Corporation (US), General Electric Company (US), Data RPM, Sight Machine (US), General Vision, Inc. (US), AI Brain, Inc.(US), Rockwell, Automation Inc. (US), Cisco Systems, Inc. (US), Mitsubishi Electric Corporation (Japan), Oracle Corporation (US), SAP SE (Germany), Preferred Networks, Inc. (Japan), Vicarious Inc. (US), Skymind Inc.(US), Citrine Informatics (US), Cloud Minds Technologies (US), and Ubtech Robotics Corp. (China).Make an Inquiry on "Artificial Intelligence in Manufacturing Market by Offering (Hardware, and Software), Technology (Deep Learning, Computer Vision, Context Awareness, and Natural Language Processing), Application, Industry, and Geography - Global Forecast to 2023" research report at http://www.reportsnreports.com/contacts/inquirybeforebuy.aspx?name=1148471 .
In the process of determining and verifying, the market size for several segments and sub segments gathered through secondary research, extensive primary interviews were conducted with key people. In Tier 1 (40%), Tier 2 (20%) and Tier 3 (40%) companies were contacted for primary interviews. The interviews were conducted with various key people such as C-Level (40%), Director Level (40%) and others (20%) from various key organizations operating in the artificial intelligence (AI) in manufacturing market. The primary interviews were conducted worldwide covering regions such as North America (40%), Europe (40%), APAC (10%) and RoW (10%).
Research Coverage: The AI in manufacturing market has been segmented on the basis of offering, technology, application, industry, and geography. By offering, the market has been further segmented into hardware and software. By technology, the market is segmented into deep learning, computer vision, context awareness, and natural language processing (NLP). By application, the market is segmented into material movement, predictive maintenance and machinery inspection, production planning, field services, reclamation, and quality control.
On a related note, another research titled Artificial Intelligence in Healthcare Market Global Forecast to 2022says, the artificial intelligence (AI) in healthcare market is expected to reach $7,988.8 million by 2022, at a CAGR of 52.68% between 2017 and 2022. Companies such as IBM Corporation (US), Intel Corporation (US), Google, Inc. (US), NVIDIA Corporation (US), Microsoft Corporation (US), iCarbonX (China), Next IT Corp. (US), CloudMedx Inc. (US), Carescore (US), Atomwise, Inc. (US), Zephyr Health, Inc. (US), Sentirian (US), BabyLabs, Inc. (US), Siemens Healthineers GmbH (Germany), Johnson & Johnson (US), Welltok, Inc. (US), General Vision, Inc. (US), Enlitic, Inc. (US), Recursion Pharmaceuticals (US), General Electric Company (US), Stryker Corporation (US), Deep Genomics, Inc. (Canada), Medtronic Plc. (Ireland), Koninklijke Philips N.V. (Netherlands), Oncora Medical, Inc. (US) have been profiled in this 210 pages research report available at http://www.reportsnreports.com/contacts/requestsample.aspx?name=985408 .
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