https://www.linkedin.com/pulse/artificial-intelligence-ai-construction-market-movements-komal-kadam-7wfgf/ The impetus behind the surging growth of the AI Construction Market is multifaceted. Firstly, there is an escalating demand for enhanced safety measures at construction sites, a critical concern in an industry prone to risks. AI technology steps in as a game-changer, offering innovative solutions to mitigate risks and ensure a safer working environment. Secondly, the prowess of Artificial Intelligence in construction shines through its capacity to slash production costs significantly. As the industry grapples with labor shortages and dwindling productivity, AI becomes the catalyst for overcoming these barriers. The seamless integration of AI into construction processes enhances productivity, improves safety standards, ensures superior quality, and optimizes scheduling.

AI in Cyber Security Market To Reach $101.8 Billion by 2030 The artificial intelligence (AI) in cyber security market stood at $8.6 billion in 2019, and it is projected to reach $101.8 billion in 2030, advancing at a CAGR of 25.7% during the forecast period (2020–2030). This growth is supported by factors such as the rapid digitization of industries, high penetration of mobile internet, huge investments by governments, information technology (IT) sector, and financial institutions in the AI technology, and shift from conventional banking to digital banking. However, the biggest reason for the market growth remains the alarming cybercrime incidence. In August 2019, the Government Accountability Office (GAO) of the U.S. stated that despite combative actions, cybercrimes are growing every year. With the escalating incidence of cyber frauds, such as payment card thefts and identity frauds, organizations are suffering significant financial losses. If these attacks are not countered quickly, they end up having a long-term impact on businesses. AI-driven solutions tackle cyber frauds by identifying threats, refining techniques, reducing the response time, and better distinguishing attacks that need immediate attention. Another factor driving the AI in cyber security market growth is the implementation of the bring-your-own-device (BYOD) policy, as it enhances employee satisfaction and increases productivity. However, this policy poses a major risk, as it makes corporate data vulnerable to cyberattacks. The devices of employees have varying hardware and software configurations, and IT departments might not be able to fully qualify, evaluate, and approve every device, which can pose a high security threat to confidential data. AI provides advanced protection through the machine learning (ML) technology and, thus, offers complete endpoint security. The categories under the offering segment of the AI in cyber security market include hardware, software, and services. Among these, the hardware category held the largest market share in the historical period (2014–2019). On the other hand, the software category is expected to showcase the fastest growth during the forecast period. AI systems require various kinds of software that include ML algorithms and application program interfaces (API), such as vision, language, speech, and sensor data, to realize the applications for cyber security. Geographically, the North American AI in cyber security market generated the highest revenue in 2019 due to the increasing adoption of cyber security solutions in business enterprises to deal with the frequent cyberattacks. The surging incidence of cybercrimes has led to business interruption and huge financial losses. The number of cyberattacks, such as network breaches and phishing emails, has grown at an exorbitant pace in Canada and the U.S. Moreover, the high digitization rate in the region is supporting the market growth in North America. Furthermore, the Asia-Pacific (APAC) region is projected to exhibit the fastest growth in the global AI in cyber security market in the forecast period. This would be due to the soaring number of cybercrimes, such as data breaches, financial frauds, and identity thefts, in the region. On account of these factors, organizations have increased their security expenditure to deal with the consequences and costs of more-advanced cyberattacks. Apart from business entities, governments of several countries are also investing huge amounts in cyber security to deal with advanced threats. Thus, the rapid digitization and high incidence of cyberattacks will fuel the market growth in the future. Read More: https://www.psmarketresearch.com/market-analysis/artificial-intelligence-in-cyber-security-market

How Does Growing Adoption of Smart Technologies in R&D Healthcare Boost Industry Growth? The AI-based clinical trials industry is projected to rise and generate $7,073.9 million revenue in 2030. It is led by the shift in conventional drug development practices to technology-based approaches and rising AI-based technologies penetration in numerous healthcare subsectors. The industry is projected to experience a gradual rise in the short term, with advanced growth. The advancements in AI-based solutions designed for the research sector and drug development facilitate lucrative opportunities for IT vendors in the coming future. The rising adoption of smart technologies in the R&D sector for numerous diseases by pharma firms, and academic institutes, with surging AI popularity propels the industry. Moreover, the rising awareness of diverse applications of AI in clinical trials boosts industry growth. The global pandemic has positively influenced industry growth, which drives AI usage for an array of healthcare-relevant purposes, from population health management to drug discovery. Researchers are utilizing advanced technologies to collect the data from recruited patients and analyze it. Therefore, it boosts the adoption of AI-based clinical trial solutions. The government initiatives and strict regulations in the U.S. adheres to clinical trials, and they are projected to propel AI-based tools, technologies, and solutions. Developed countries such as Canada, Australia, the U.S., and the U.K. spend a significant proportion of their GDP on healthcare. In these countries, the cost and demand for healthcare are rising. It thus propels the requirement for digital technologies, including AI. Over the past few years, the U.K. and the U.S have adopted AI technologies to reduce therapeutics costs, and improve clinical services. Moreover, Germany and France are major countries operating in the AI-based clinical trials solution. AI aids in the synthesizes and analysis of ever-expanding data. The AI-powered capabilities, such as pattern recognition, evolutionary modeling, and interpretation are prominent for gathering, normalizing, analyzing, and harnessing the rising data masses to boost modern therapy development. AI technologies aid the advancement in the transformation of clinical trials, seamlessly combining the clinical trials of phases I and II, gathering, and analyzing data, and developing patient-centered endpoints. In the U.S., the OBC outcomes are utilized for a longer time as a measure to reward innovation, relying on the effectiveness of the actual treatment and intervening in the patient population. Presently, the potential usage of artificial intelligence for predicting suitable patient outcomes is to eliminate the potential challenges. The major companies operating in the industry are; Deep Lens Inc., Accenture plc, Verily Life Sciences LLC, Koneksa, Deep6 ai, Antidote Technologies Inc., Mendel.ai, Euretos Services BV, and Antidote Technologies Inc. Therefore, the wide potential of AI technology in clinical trials to provide treatment for various diseases propel the industry growth. Read More: https://www.psmarketresearch.com/market-analysis/ai-based-clinical-trials-solution-provider-market