Acumen Research and Consulting recently published report titled "Artificial Intelligence in Manufacturing Market Size, Share, Analysis Report and Region Forecast, 2022 - 2030" BEIJING, July 11, 2022 (GLOBE NEWSWIRE) -- The Global Artificial Intelligence in Manufacturing Market size accounted for USD 2,963 Million in 2021 and is estimated to reach USD 78,744 Million by 2030. The rising volume of complex data sets is the leading factor boosting the global artificial intelligence in manufacturing market revenue. Our worldwide artificial intelligence in manufacturing industry analysis suggests that the manufacturers require artificial intelligence (AI) in their facilities due to the surging need for enhanced productivity and automation. AI is being used by manufacturers to enhance day-to-day operations, introduce new products, personalize designs, and forecast future financials. According to an MIT survey, about 60% of industry players are already using artificial intelligence.

According to a new market research report, "Artificial Intelligence in Accounting Market by Component, Deployment Mode, Technology, Enterprise Size, Application (Automated Bookkeeping, Fraud and Risk Management, and Invoice Classification and Approvals), and Region - Global Forecast to 2024", published by MarketsandMarkets, the global the Artificial Intelligence (AI) in Accounting Market is expected to grow from USD 666 million in 2019 to USD 4,791 million by 2024, at a Compound Annual Growth Rate (CAGR) of 48.4% during the forecast period. The major factors driving the growth of AI in accounting market include the growing need to automate accounting processes and the need for enhanced data-based advisory and decision making. The AI in accounting market has been segmented based on components into 2 categories: solutions and services. The solutions segment is estimated to hold a larger market size, which is driven by the ease of integrating pre-built solutions with existing accounting infrastructure. The growing number of innovations and partnerships in the accounting sector and the focus on automating repetitive accounting processes to enhance efficiency, are also the factors contributing to the adoption.

According to the new market research report "Artificial Intelligence in Healthcare Market by Offering (Hardware, Software, Services), Technology (Machine Learning, NLP, Context-aware Computing, Computer Vision), Application, End User and Geography - Global Forecast to 2027", published by MarketsandMarkets, the market is projected to grow from USD 6.9 billion in 2021 to USD 67.4 billion by 2027; it is expected to grow at a CAGR of 46.2%from 2021 to 2027. The key factors fueling the growth of the market include market influx of large and complex healthcare datasets, growing need to reduce healthcare costs, improving computing power and declining hardware cost, rising number of partnerships and collaborations among different domains in healthcare sector, and surging need for improvised healthcare services due to imbalance between health workforce and patients. Additionally, growing potential of AI-based tools for elderly care, increasing focus on developing human-aware AI systems, and rising potential of AI technology in genomics, drug discovery, and imaging & diagnostics to fight COVID-19 is expected to create a growth opportunity for the artificial intelligence in healthcare market. The software segment is projected to account for the largest share of the artificial intelligence in healthcare market during the forecast period. Many companies are developing software solutions for various healthcare applications; this is the key factor complementing the growth of the software segment.

Software is expected to grow at a higher CAGR during the forecast period. It is segmented into traditional software and deep learning software.

In terms of revenue, the global artificial intelligence in radiology market was estimated to be US$ 891.24 Mn in 2018 and is expected to reach US$ 3506.55 The study analyses the market in terms of revenue across all the major regions, which has been further bifurcated into countries. Radiology is the method of imaging the human body so as to understand various diseases in the body and strategize the ways to treat the same. The involvement of artificial intelligence in radiology enhances radiologists' workflow, simplifies quantitative radiology, and assists in discovering genomic markers. Artificial intelligence algorithms, majorly deep learning, have made high progress in image-recognition processes.

According to the new market research report "Quantum Computing Market with COVID-19 impact by Offering (Systems and Services), Deployment (On Premises and Cloud Based), Application, Technology, End-use Industry and Region - Global Forecast to 2026", published by MarketsandMarkets, the market is expected to grow from USD 472 million in 2021 to USD 1,765 million by 2026, at a CAGR of 30.2%. The early adoption of quantum computing in the banking and finance sector is expected to fuel the growth of the market globally. Other key factors contributing to the growth of the quantum computing market include rising investments by governments of different countries to carry out research and development activities related to quantum computing technology. Several companies are focusing on the adoption of QCaaS post-COVID-19. This, in turn, is expected to contribute to the growth of the quantum computing market.

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According to the new market research report "Artificial Intelligence (AI) in Drug Discovery Market by Component (Software, Service), Technology (ML, DL), Application (Neurodegenerative Diseases, Immuno-Oncology, CVD), End User (Pharmaceutical & Biotechnology, CRO), Region - Global forecast to 2024", published by MarketsandMarkets, the AI in Drug Discovery Market is projected to reach USD 1,434 million by 2024 from USD 259 million in 2019, at a CAGR of 40.8% during the forecast period. Some of the factors responsible for the growth of this market are growing number of cross-industry collaborations and partnerships, the need to control drug discovery & development costs and reduce the overall time taken in this process, the rising adoption of cloud-based applications & services, and the impending patent expiry of blockbuster drugs. On the other hand, a lack of data sets in the field of drug discovery and the inadequate availability of skilled labor are some of the factors challenging the growth of the market. "The services segment is expected to grow at the highest CAGR during the forecast period." On the basis of offering, the Artificial Intelligence in drug discovery market is segmented into software and services.

Geographically, the global artificial intelligence in retail market is segmented into five major regions, namely, North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa. The global AI in retail market is analyzed methodically with respect to major countries in each of the regions with the help of bottom-up approach to arrive at the most precise market estimation. At present, North America holds a dominating position in the global AI in retail market. The region has high technology adoption rate, presence of key players & start-ups, and high penetration of internet. Consequently, North America is expected to retain its dominance throughout the forecast period.

According to the new market research report "Quantum Computing Market by Offering (Systems and Consulting Solutions), End-User Industry, and Geography; QCaaS Market by Application (Optimization, Machine Learning, and Material Simulation) and Geography - Global Forecast to 2024", published by MarketsandMarkets, the Quantum Computing Market is expected to grow from USD 93 million by 2019 to USD 283 million by 2024; it is estimated at a CAGR of 24.9%. Whereas, the market for QCaaS is expected to grow from USD 4 million by 2019 to USD 13 million by 2024 at a CAGR of 26.8%. The need for robust computing that has the potential to overcome complexities involved in cancer-specific drug discovery and in evaluating portfolio risk is a major factor contributing to the market growth. Quantum computing is used for material simulation in various industries, such as healthcare, automotive, entertainment, banking and finance, and defense. Companies such as D-Wave Systems Inc. (Canada), 1QB Information Technologies Inc. (Canada), and QxBranch, LLC (US) are working toward providing a platform to enhance the availability, usability, and accessibility of quantum computers in the material simulation applications.