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Although 90% of todays businesses have adopted cloud, only one third are achieving the anticipated ROI. The most advanced companies understand that while cloud sets you up with next-level computing power and access to new kinds of data in the right quantity and quality, AI is the bridge to convert that data into business value. Its no surprise the entire C-suite is now involved in the AI agenda and theyre asking whats next.

Thats where Applied Intelligence comes in. We believe that cloud is the enabler, data is the driver, and AI is the differentiator. We bring them together to help you make smarter, faster decisions that help change your organization and enable growthat scale. And because we understand that people are central to the success of any technology transformation, our global team of experts bring the cross-functional skills to both deliver business outcomes and facilitate cultural change empowering your workforce to use data and AI responsibly.

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Artificial Intelligence (AI) Services & Solutions | Accenture

Has Milky Ways Twin Been Discovered to Will Artificial Intelligence Reveal New Laws of Physics? (The Galaxy R  The Daily Galaxy --Great Discoveries Channel

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Has Milky Ways Twin Been Discovered to Will Artificial Intelligence Reveal New Laws of Physics? (The Galaxy R - The Daily Galaxy --Great Discoveries...

Meet FathomNet: An Open-Source Image Database That Uses Artificial Intelligence and Machine Learning Algorithms To Help Process The Backlog Of Visual Data For Understanding Our Ocean And Its Inhabitants  MarkTechPost

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Meet FathomNet: An Open-Source Image Database That Uses Artificial Intelligence and Machine Learning Algorithms To Help Process The Backlog Of Visual...

Chicago, Oct. 18, 2022 (GLOBE NEWSWIRE) -- According to the new market research report "Artificial Intelligence (AI) in Clinical Trials Market by Offering (Software, Services), Technology (Machine Learning, Deep Learning, Supervised), Application (Cardiovascular, Metabolic, Oncology), End User (Pharma, Biotech, CROs) - Global Forecasts to 2027", is projected to reach USD 4.8 billion by 2027 from USD 1.5 billion in 2022, at a CAGR of 25.6% during the forecast period.

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Scope of the Artificial Intelligence (AI) in Clinical Trials Market Report:

The growth of this market is driven by the growing need to control development costs & reduce time involved in drug development, and Increasing adoption of AI based platform to improve productivity and efficiency of clinical trials, On the other hand, a lack of data sets in the field of clinical trials and the inadequate availability of skilled labor are some of the factors challenging the growth of the market

Services segment is expected to grow at the highest rate during the forecast periodBased on offering, the AI in clinical trials market is segmented into software and services. In 2021, the services segment accounted for the largest market share of the global AI in clinical trials services market and also expected to grow at the highest CAGR during the forecast period. The benefits associated with AI services and the strong demand for AI services among end users are the key factors driving the growth of this market segment.

Machine learning technology segment accounted for the largest share of the global AI in clinical trials market

Based on technology, the Artificial Intelligence (AI) in Clinical Trials Market is segmented into machine learning and other technologies. The machine learning segment accounted for the largest share of the global market in 2021 and expected to grow at the highest CAGR during the forecast period. The machine learning technology segment further segmented into deep learning, supervised learning, and other machine learning technologies. Deep learning segment accounted for the largest share of the market in 2021, and this segment also expected to grow at the highest CAGR during the forecast period.

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The oncology application segment accounted for the largest share of the AI in clinical trials market in 2021

On the basis of application, the Artificial Intelligence (AI) in Clinical Trials Market is segmented into neurological diseases and condition, cardiovascular diseases, metabolic diseases, infectious disease, immunology diseases, and other applications. The oncology segment accounted for the largest share of the market in 2021, owing to the increasing demand for effective cancer drugs and a large number of drug trials in the field of oncology is contributing to the adoption of AI-enabled technologies in this application area. Also, many players are developing and adopting oncology-based AI tools for clinical trials, thus impelling the segment growth. The infectious diseases segment is estimated to register the highest CAGR during the forecast period, owing to the increasing number of clinical trials for vaccine and drugs for covid-19 and other infectious disease and rising investment in R&D for infectious diseases.

Pharmaceutical & biotechnology companies segment accounted for the largest share of the global AI in clinical trials market

On the basis of end user, the Artificial Intelligence (AI) in Clinical Trials Market is segmented into pharmaceutical & biotechnology companies, CROs, and other end users. The pharmaceutical & biotechnology companies segment accounted for the largest market share of Artificial Intelligence in Clinical Trials Market, in 2021. Factors such as increasing adoption of AI enabled technologies to improve productivity and efficiency of clinical trials. Furthermore, growing cross industry collaborations and partnership for leverging the AI solution for R&D and the overall development process. Hence driving the growth among this end user segment.

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Geographical Growth Scenario:

North America accounted for the largest share of the global AI in clinical trials market in 2021 and also expected to grow at the highest CAGR during the forecast period. North America, which comprises the US, and Canada forms the largest market for AI in clinical trials. These countries have been early adopters of AI technology in clinical trials and development. Presence of key established players, well-established pharmaceutical and biotechnology industry, and high focus on R&D & substantial investment are some of the key factors responsible for the large share and high growth rate of this market

Key Players:

Prominent players in this Artificial Intelligence in Clinical Trials Market are IBM corporation, Exscientia, Saama Technologies, Unlearn.AI, Inc., BioSymetrics, Euretos, Trials.Ai, Insilico Medicine, Ardigen, Pharmaseal, Koninklijke Philips N.V., Intel, Numerate, AiCure, LLC., Envisagenics, NURITAs, BioAge Labs, Inc., Symphony AI., Median Technologies, Innoplexus, Antidote Technologies, Inc., GNS Healthcare, Koneksa Health, Halo Health Systems, and DEEP LENS AI. Players adopted organic as well as inorganic growth strategies such as product upgrades, collaborations, agreements, partnerships, and acquisitions to increase their offerings, cater to the unmet needs of customers, increase their profitability, and expand their presence in the global market.

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The industry's atomization and adoption of IoT, growing complex data sets, falling hardware costs, and increased computing power are driving Artificial Intelligence Adoption In Manufacturing Market.

JERSEY CITY, N.J., Oct. 18, 2022 /PRNewswire/ -- Verified Market Research recently published a report, "Artificial Intelligence In Manufacturing Market" By Component (Hardware, Software), By Technology (Deep Learning, Machine Learning), By End-User Industry (Healthcare, Manufacturing), and By Geography.

As per the deep research carried out by Verified Market Research, the global Artificial Intelligence In Manufacturing Market size was valued at USD 1.56 Billion in 2022 and is projected to reach USD 52.37 Billion by 2030, growing at a CAGR of 47.80% from 2023 to 2030.

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Browse in-depth TOC on "Artificial Intelligence In Manufacturing Market"

202 - Pages126 Tables37 Figures

Global Artificial Intelligence In Manufacturing Market Overview

Artificial intelligence (AI) technology enables machines to perform tasks that were previously performed by humans. It creates machines that can learn, plan, recognise speech, and solve problems. One of the primary goals of artificial intelligence is the development of intelligent machines and smart systems. It is useful in a variety of industries, such as gaming, expert systems, vision systems, intelligent robots, and natural language processing, to name a few. The robotics industry is being transformed by artificial intelligence (AI), which incorporates computer vision and machine learning. AI-powered automation has numerous potential applications in a variety of industries, including material processing, aviation, healthcare, agriculture, and energy. Artificial intelligence (AI) is used to detect and automate equipment issues.

AI technology's expanding applications and simple deployment methods have piqued the government's interest, resulting in increased government investment in AI and related technologies. Artificial intelligence (AI) has been adopted by a variety of industries, including aerospace, healthcare, manufacturing, and automotive, as a result of advancements in deep learning and Artificial Neural Networks (ANN). There is a growing demand for artificial intelligence industrial solutions as more data must be examined and interpreted. The development of more dependable cloud computing infrastructures, as well as advances in dynamic artificial intelligence solutions, have a significant impact on the market's potential for growth. AI is being used to accelerate commercial processes, automate risky jobs, and supplement or replace skilled labour across the board.

Key Developments

Key Players

The major players in the market are Google LLC, Microsoft, Advanced Micro Devices, Arm Limited, Atomwise, Inc., Clarifai, Inc, Enlitic, Inc., International Business Machines Corporation, IBM Watson Health, and Intel Corporation.

Verified Market Research has segmented the Global Artificial Intelligence In Manufacturing Market On the basis of Component, Technology, End-User Industry, and Geography.

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Artificial Intelligence In Manufacturing Market is expected to generate a revenue of USD 52.37 Billion by 2030, Globally, at 47.80% CAGR: Verified...