The AI market size saw explosive growth in 2021 following the increased shift to digitization during the Covid-19 pandemic. It has since returned to strong, but stable growth. The global market size change in the artificial intelligence market was forecast to continuously decrease between 2025 and 2030 by in total 8.6 percentage points. According to this forecast, in 2030, the market size change will have decreased for the sixth consecutive year to 23.81 percent.

AI has already changed and will continue to change the way that we live. These are the latest Artificial Intelligence statistics you need to know.

The total share of enterprises using artificial intelligence in their operations increased from 2.7 percent in 2021 to 4.4 percent in 2024. The highest share of artificial intelligence usage was observed in large enterprises that employed 250 or more people, accounting for 22.3 percent as of 2024.

Global AI usage will skyrocket over the next few years, reaching a potential market value of $190.61 billion by 2025.

According to the most recent data, among all enterprises in Israel, nine percent of employees were found to be active AI users. Based on the 2021 survey, 34 percent of workers in the communications and information services sector used AI. In contrast, only 2.5 percent of workers in trade and commerce professions used AI.

Artificial Intelligence will make a big difference in the future. But how is it used right now?

The global number of AI tools users in the 'AI Tool Users' segment of the artificial intelligence market was forecast to continuously increase between 2025 and 2031 by in total ***** million (+****** percent). After the tenth consecutive increasing year, the number of AI tools users is estimated to reach *** billion and therefore a new peak in 2031. Notably, the number of AI tools users of the 'AI Tool Users' segment of the artificial intelligence market was continuously increasing over the past years.Find more key insights for the number of AI tools users in countries and regions like the market size in the 'Generative AI' segment of the artificial intelligence market in Australia and the market size change in the 'Generative AI' segment of the artificial intelligence market in Europe.The Statista Market Insights cover a broad range of additional markets.

France Artificial Intelligence Market size, market analysis, Market Revenue, trends, Regional Outlook, competition and growth opportunities till 2028

Here are the top 3 most significant challenges that companies worry about:.

In 2021, the market for artificial intelligence (AI) in marketing was estimated at ***** billion U.S. dollars. The source projected that the value would increase to more than ***** billion by 2028. What is AI and who uses it? Artificial intelligence (AI) has become one of the most impactful digital innovations of the past few decades. The term refers to the ability of a computer or machine to mimic the competencies of the human mind, with the current ecosystem consisting of machine learning, robotics, artificial neural networks, and natural language processing. All of these features and algorithms are highly versatile and adaptable to the specific requirements of the user, explaining why they have become embedded into many different industries, ranging from telecommunications and financial services to healthcare and pharma. Overall, the global artificial intelligence market was valued at around *** billion U.S. dollars in 2021. AI at the marketing wheel AI is deeply embedded into the digital marketing landscape, and based on the latest reports, more than ** percent of industry experts integrate some form of AI technology into their online marketing activities. This vast adaptation of artificial intelligence for marketing purposes is no surprise considering that its benefits include task automation, campaign personalization, and data analysis, to name but a few. When asked about marketers' main application areas of AI in a recent survey, roughly ** percent of respondents from the U.S., Canada, the UK, and India mentioned ad targeting. Other popular activities they trusted AI with included personalizing content, optimizing e-mail send times, and calculating conversion probability.

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The artificial intelligence in energy market share is expected to increase by USD 6.78 billion from 2020 to 2025, and the market’s growth momentum will decelerate at a CAGR of 34.19%.

This artificial intelligence in energy market research report provides valuable insights on the post COVID-19 impact on the market, which will help companies evaluate their business approaches. Furthermore, this report extensively covers artificial intelligence in energy market segmentations by solution (software, hardware, and services) and geography (North America, Europe, APAC, MEA, and South America). The artificial intelligence in energy market report also offers information on several market vendors, including ABB Ltd., Alphabet Inc., Flex Ltd., General Electric Co., Intel Corp., International Business Machines Corp., Microsoft Corp., Origami Energy Ltd., Siemens AG, and Verdigris Technologies Inc. among others.

What will the Artificial Intelligence In Energy Market Size be During the Forecast Period?

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Artificial Intelligence In Energy Market: Key Drivers, Trends, and Challenges

Based on our research output, there has been a positive impact on the market growth during and post COVID-19 era. The growing demand for data integration and visual analytics is notably driving the artificial intelligence in energy market growth, although factors such as existing issues of ai may impede market growth. Our research analysts have studied the historical data and deduced the key market drivers and the COVID-19 pandemic impact on the artificial intelligence in energy market industry. The holistic analysis of the drivers will help in deducing end goals and refining marketing strategies to gain a competitive edge.

Key Artificial Intelligence In Energy Market Driver

One of the key factors driving the global AI market is the growing demand for data integration and visual analytics. Rising proliferation and complexity have made the process of deploying and maintaining reliable data interfaces difficult. Enterprises around the world are, therefore, adopting data integration solutions. AI allows real-time synthesizing of data to facilitate real-time analysis for effective decision-making, thus enabling enterprises to monitor, transform, and deliver data; understand business processes; and bridge the gap between businesses and IT. Similarly, AI helps energy companies to integrate technical and business process data from different sources and convert them into meaningful business insights. With the exponential increase in data volume, the need for analyzing, transforming, monitoring, and interpreting data has become a priority for business operations. With globalization, customers, suppliers, and companies are scattered across the world and require real-time information exchange. To accomplish this, energy companies require AI platforms to link multiple enterprise systems with the web and cloud-based applications. Additionally, energy companies are integrating data with AI-powered video analytics systems to explore and analyze various types of data, such as sales data, for informed decision-making. Enterprises are also integrating business analytics software with their businesses for the dynamic representation of data. Hence, the demand for AI in the energy sector is likely to increase significantly during the forecast period.

Key Artificial Intelligence In Energy Market Trend

Increasing adoption of cloud-based solutions is another factor supporting the global AI market growth in the forecast period. With the increasing applications of robotics in repetitive and risky tasks, end-users are increasingly seeking avenues to ensure the elimination of limitations of industrial automation and robotics technologies. These limitations arise due to factors such as the cost, computational capacity, storage, size, power supply, motion mode, and working environment. Thus, the adoption of cloud-based AI solutions is increasing in the energy sector to enhance the capabilities of existing systems. Furthermore, the emergence of AI-as-a-service (AIaaS) is trending among various industrial users of AI, as it allows individuals and companies to access AI for various applications without large initial investment and with a lower risk of failure. AIaaS can allow energy companies to experiment on samples of multiple public cloud platforms to test various machine learning algorithms. AIaaS helps vendors in the market to increase their awareness about AI and its benefits, such as efficiency and maintenance of a company’s grid system and asset management of solar farms and gas plants. Companies like Alphabet, IBM, and GENERAL ELECTRIC are investing heavily in the development of prediction and maintenance systems for the energy industry and are planning

GMI Research analysis indicates that the Canada Artificial Intelligence (AI) market is estimated to increase at a CAGR of 26% during the forecast period 2021-2028

The AI in Food and Beverage Market Report is Segmented by Component (Hardware, Software, and Services), Technology (Machine Learning, Computer Vision, Natural Language Processing, and Robotics and Automation), Application (Food Sorting and Grading, Quality Control and Safety Compliance, Production and Packaging Optimization, and More), by End User ( Food Processing Manufacturers, Beverage Manufacturers, and More), and by Geography.

This statistic shows the size of the artificial intelligence (AI) healthcare market worldwide from 2013 to 2021. In 2021, AI systems in healthcare are forecast to generate around *** billion U.S. dollars in revenue.

Between September 2022 and August 2023, around 19.8 billion U.S. dollars were invested in generative artificial intelligence in the United States. Amongst several industries, nearly $13 billion were directed towards development of this technology for broad use cases, including large language model (LLM) platforms and search engines. This category, which comprises companies like the startup laboratory OpenAI, saw the most significant growth among the analyzed industries, with ten times more investment than during the previously analyzed period from 2021 to 2022. As a result, the online search market is likely to be one one of the most affected industries by AI implementations.

The Artificial Intelligence in Healthcare market is experiencing rapid growth, driven by the increasing need for efficient and effective solutions in a constantly evolving industry. Recent data indicates that the global market for AI in healthcare was valued at approximately $6.6 billion in 2021 and is projected to

A 2023 study focused on the main opportunities considered by global hotel chains to implement artificial intelligence (AI) and machine learning in property operations. Based on the survey, ** percent of respondents saw the biggest AI and machine learning opportunity in predictive modeling for environmental protection using energy, water, and waste-monitoring tools. This figure denotes an increase of ** percentage points compared to the 2021 study.

The AI market share of the IT services industry in India reached **** percent in 2021. Artificial intelligence has been responsible for drastic changes in the technology sector where it can greatly improve productivity through process simplification and automation. It is also an integral part and one of the fundamental bases of Industry 4.0. In several developed countries, AI could potentially maximize labor productivity by more than ** percent in the next 15 years. AI application in India As India is a country with huge linguistic diversity, it imposes a great challenge to governments and companies when conducting business with people of different linguistic backgrounds. As a result, one of the first applications for AI in India is in the field of customer service. The Indian government has increased public investment to promote the Digital India initiative in the fields of AI, IoT, big data, machine learning, and robotics. Challenges of AI adoption in India However, there are several obstacles India faces in the process of AI adoption. India has a comparatively small number of scientists and researchers in the field of machine learning and artificial intelligence. It also lacks sufficient qualified specialists to localize and implement the latest technologies in the field. However, the Ministry of Electronics and Information Technology, along with various industrial bodies have introduced several programs of personnel training and technical infrastructure building to lay the foundation for future AI development in India.

The statistic shows a forecast of spending on robotic process, intelligent process, and artificial intelligence automation worldwide, from 2016 to 2021. In 2017, expenditure on AI and process automation is expected to reach 5.8 billion U.S. dollars globally. In this sense, artificial intelligence is autonomous decision-making by a system or systems designed to simulate human thought processes. The process involves self-learning systems improved through data mining, pattern recognition, and natural language processing.

In 2021, with ** percent, improving customer experience represents the top artificial intelligence and machine learning use cases. The deployment of machine learning and artificial intelligence can advance a variety of business processes.