COVID-19 (Coronavirus) has resulted in many advantages and disadvantages for companies in the Blue Prism Technology Services market. Research report of this Blue Prism Technology Services market is highlights key strategies that can help reduce the impact of COVID-19 on diverse business practices. Analysts of Fact.MR, in a recently published market study, shares important factors that are expected to shape the growth of the Blue Prism Technology Services market over the forecast period (20XX-20XX). The current trends, market drivers, strategic collaborations, and threats are thoroughly evaluated to provide a clear understanding of the current market landscape and the course the Blue Prism Technology Services market is likely to take over the upcoming decade. According to the report, the Blue Prism Technology Services market is poised to register a CAGR growth of XX% throughout the forecast period owing to several key factors including growing investments in the Blue Prism Technology Services space, innovations with a rise in the number of research and development projects.

COVID-19 (Coronavirus) has resulted in many advantages and disadvantages for companies in the Blue Prism Technology Services market. Research report of this Blue Prism Technology Services market is highlights key strategies that can help reduce the impact of COVID-19 on diverse business practices. Analysts of Fact.MR, in a recently published market study, shares important factors that are expected to shape the growth of the Blue Prism Technology Services market over the forecast period (20XX-20XX). The current trends, market drivers, strategic collaborations, and threats are thoroughly evaluated to provide a clear understanding of the current market landscape and the course the Blue Prism Technology Services market is likely to take over the upcoming decade. According to the report, the Blue Prism Technology Services market is poised to register a CAGR growth of XX% throughout the forecast period owing to several key factors including growing investments in the Blue Prism Technology Services space, innovations with a rise in the number of research and development projects.

Report Scope: The scope of this report is broad and covers the global markets for artificial intelligence, which is increasingly being implemented across a wide range of industries for various applications.The market is broken down by solution, end-user industry, technology and region. Revenue forecasts from 2019 to 2024 are presented for each type, technology, end-user industry, and regional market. The report also includes a discussion of the major players in each regional market for artificial intelligence.It explains the major market drivers of the global market, current trends in the industry and the regional dynamics of the artificial intelligence market. The report concludes with detailed profiles of major vendors in the global artificial intelligence industry. Report Includes: - 88 tables - An overview of the global market and technologies for artificial intelligence (AI) - Analyses of market trends, with data from 2018, 2019 and projections of compound annual growth rates (CAGRs) through 2024 - Discussion on market drivers, restraints, current trends and investments in artificial intelligence market - Knowledge about machine learning, natural language processing (NLP), context aware computing and computer vision - Assessment of current market size, market forecast, and market share analysis of the leading suppliers of the industry - Information on mergers & acquisitions, partnerships, and expansion in artificial intelligence market - Detailed profiles of key companies in the industry, including Amazon, Cisco Systems Inc., Facebook Inc., General Electric, Intel Corp., Microsoft Corp., Oracle Corp., Salesforce Inc., and Samsung Electronics Co. Ltd.

The Asia Pacific artificial intelligence in fashion market accounted for US$ 55. 1 Mn in 2018 and is expected to grow at a CAGR of 39. 0% over the forecast period 2019-2027, to account for US$ 1015. GNW Real-time consumer behavior insights and increased operational efficiency are driving the adoption of artificial intelligence in fashion industry. Moreover, the availability of a large amount of data originating from different data sources is one of the key factors driving the growth of AI technology across the fashion industry. Artificial Intelligence has already disrupted several industries, including the retail and fashion industry. The fashion industry so far has been one of the primary adopters of the technology. The fashion retailers these days are leveraging several revolutionary technologies, including machine learning, like augmented reality (AR) and artificial intelligence (AI), to make seamless shopping experiences across the channels, from online models to brick and mortar stores.

New York, December 30, 2019: The global Artificial Intelligence Platform market is segregated on the basis of Component as Tools and Services. Based on Deployment the global Artificial Intelligence Platform market is segmented in Cloud and On-Premises. Based on End-User Industry the global Artificial Intelligence Platform market is segmented in Manufacturing, Healthcare, BFSI, Research and Academia, Transportation, Retail and Ecommerce, and Others. The global Artificial Intelligence Platform market is expected to exceed more than US$ 10.8 Billion by 2024, at a CAGR of more than 28% in the given forecast period. The global Artificial Intelligence Platform market report provides geographic analysis covering regions, such as North America, Europe, Asia-Pacific, and Rest of the World.

The North America artificial intelligence in fashion market accounted for US$ 128.7 Mn in 2018 and is expected to grow at a CAGR of 37.9% over the forecast period 2019-2027, to account for US$ 2254.2 Artificial Intelligence in fashion market is expected to experience remarkable growth in the coming years due to the rising technological advancements and expanding services and facilities in artificial intelligence in the fashion arena. Also, the availability of the massive amount of data due to the increased proliferation of digital services across the globe is anticipated to provide a strong thrust to the growth of artificial intelligence in fashion market. The penetration of advanced technology in the fashion sector worldwide and the real-time consumer behaviour insights and increased operational efficiency are driving the adoption of artificial intelligence in the fashion industry also present a bright outlook ahead for the artificial intelligence in fashion market in the coming years. However, Data privacy and security concerns across the sector would pose a stern challenge to the growth of the artificial intelligence in fashion market in the coming years. Despite these hindrances, the introduction of Natural Language Programming (NLP) to the fashion industry is a massive opportunity for AI in fashion vendors are anticipated to offer ample growth opportunities for the players operating in the artificial intelligence in fashion market during the forecast period of 2019 to 2027.

According to the "Artificial Intelligence in Marketing Market by Offering (Hardware, Software, Services), Technology (Machine Learning, Context-Aware Computing, NLP, Computer Vision), Deployment Type, Application, End-User Industry, and Geography - Global Forecast to 2025", published by MarketsandMarkets, the market is expected to be valued at USD 6.46 Billion in 2018 and is likely to reach USD 40.09 Growth in the adoption of customer-centric marketing strategies, increase in demand for virtual assistants, and increased use of social media for advertising are the major factors driving the demand for AI-based marketing and sales solutions. Browse 67 tables and 59 figures spread through 200 pages and in-depth TOC on "Artificial Intelligence in Marketing Market - Global Forecast to 2025" Software holds a major share of the overall AI in marketing market owing to the developments in AI software and related software development kits. AI systems require different types of software, including application program interfaces, such as language, speech, vision, and sensor data, along with machine learning algorithms, to realize various applications for sales and marketing. Software platforms and solutions are available at high costs as there are limited number of experts that develop machine learning algorithms.

The artificial intelligence in supply chain market is likely to grow at a CAGR of 45.55% between 2018 and 2025. The artificial intelligence in supply chain market is expected to reach USD 10,110.2 million by 2025 from USD 730.6 million in 2018, at a CAGR of 45.55%. Growth in this market can largely be attributed to factors such as growing big data, demand for greater visibility and transparency into supply chain data and processes, and adoption of AI for improving consumer services and their satisfaction. On the other hand, the limited number of artificial intelligence technology experts is expected to restrict adoption, which in turn may limit market growth to a certain extent. The market for software offerings is expected to hold a largest share during the forecast period.

DUBLIN--(BUSINESS WIRE)--The "Machine Learning: Global Markets to 2022" report has been added to ResearchAndMarkets.com's offering. Revenue forecasts from 2017 to 2022 for segmentation based on deployment, organization size, end-user industries, and geography have been estimated with values derived from solutions and service providers' total revenues. The report also includes a section on the major players in the market. Further, it explains the major drivers, competitive landscape, and current trends in the machine learning market. The report concludes with an analysis of the machine learning vendor landscape and includes detailed profiles of the major players in the global machine learning market.

Report Scope: In this report, the market has been segmented based on type, deployment, organization size, end-user industries, and geography.The report covers the overview of the global market for machine learning and analyses the market trends, considering the base year of 2016 and estimates for 2017 to 2022. Revenue forecasts from 2017 to 2022 for segmentation based on deployment, organization size, end-user industries, and geography have been estimated with values derived from solutions and service providers' total revenues. The report also includes a section on the major players in the market.Further, it explains the major drivers, competitive landscape, and current trends in the machine learning market. The report concludes with an analysis of the machine learning vendor landscape and includes detailed profiles of the major players in the global machine learning market. Report Includes: - 45 data tables and 32 additional tables - An overview of the global market for machine learning - Analyses of global market trends, with data from 2016 and 2017, and projections of compound annual growth rates (CAGRs) through 2022 - Identification of segments with high growth potential and their future applications - Explanation of major drivers and regional dynamics of the market and current trends within the industry - Detailed profiles of major vendors in the market, including Amazon.com Inc., Alphabet Inc., Baidu Inc., Intel Corp. and Hewlett Packard Enterprise Company Summary Machine learning is one of the fastest growing areas of computer science, with a wide range of applications.Machine learning is an application of artificial intelligence (AI) that provides systems with the ability to automatically learn and improve from experience without being explicitly programmed.