This statistic illustrates the share of people who agree they trust artificial intelligence in 2018, by country. According to data published by IPSOS, 70 percent of respondents from China reported finding artificial intelligence trustworthy, compared to 13 percent of respondents from Japan.

As of 2023, most surveyed countries demonstrate concern about the misuse of artificial intelligence (AI) and the potential of using it for nefarious purposes. The impact of AI on jobs and possible violation of citizens' privacy are also major points of concern, having been mentioned by at least 40 percent of the respondents in nearly all surveyed countries.

Global Total Number of Scientific Publications in Artificial Intelligence Share by Country (Units (Publications)), 2023 Discover more data with ReportLinker!

As of 2023, the United Stated of America concentrated the largest share of artificial intelligence (AI) companies worldwide, accounting for approximately 34.6 percent of the global companies related to overall AI. The United Kingdom and India followed, with 7.1 percent and 6.7 percent of the AI companies worldwide.

The leading AI country by operating environment in 2024 was Italy, with a score of 100, followed closely by the United States with a score of 96.

Global Total Number of 10% Top-Cited Scientific Publications in Artificial Intelligence by Country, 2023 Discover more data with ReportLinker!

Western nations were the most reluctant to trust and accept artificial intelligence (AI) driven systems across private and personal space. This might be related to an innate reluctance to relinquish personal information and accept computer-driven algorithms as replacement workers. Among those most willing to trust and accept AI, the BRICS countries (Brazil, Russia, India, China, and South Africa) were most likely to put their faith in algorithms. It must be noted that Russia was not part of the survey.

China produced 76,300 publications in the field of artificial intelligence (AI) between 2016 and 2020, which was the highest amount worldwide. The United States and India followed with 44,400 and 27,000 AI-related publications over that period, respectively.

Singapore was the nation with the highest combined value where enterprises were exploring or had actively deployed AI within their business in 2023. China, India, and the UAE were all close behind, with over 80 percent of respondents claiming exploration or deployment of AI. Western countries, in particular European mainland nations such as France, Germany, and Italy, had the highest rate of non-usage or no exploration of AI, though even the U.S. had a similar share of enterprises not engaged with AI. This may reflect the specialized industries that thrive in those countries, needing individualized human skills to operate.

The China AI Exports Database (CAIED) tracks Chinese government-supported development finance projects that utilized or enabled Artificial Intelligence (AI) technology in the Global South between 2000 and 2017. The dataset captures 155 projects for AI applications or infrastructure across 65 low- and middle-income countries funded by Chinese official sector institutions and the military worth $4.5 billion.

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 global artificial intelligence market size was valued at USD 115.62 Billion in 2024. Looking forward, IMARC Group estimates the market to reach USD 854.51 Billion by 2033, exhibiting a CAGR of 23.64% from 2025-2033. North America currently dominates the market, holding a market share of over 30.6% in 2024. The growth of the North American region is driven by technological innovation, robust infrastructure, strong governmental support, and increasing investment in research and development (R&D).

IMARC Group provides an analysis of the key trends in each segment of the global artificial intelligence market, along with forecast at the global, regional, and country levels from 2025-2033. The market has been categorized based on type, offering, technology, system, and end-use industry.

The Russia artificial intelligence market is projected to exhibit a growth rate (CAGR) of 20.60% during 2024-2032. The market is driven by increasing government support, widespread AI adoption in key economic sectors, domestic technology development, and extensive research and development (R&D) activities undertaken by both the government and non-government entities in the country.

IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the country level for 2024-2032. Our report has categorized the market based on offering, technology, business function, deployment mode, organization size, and end-use industry.

Explore Artificial Intelligence (AI) In Radiology Market Regional Demand with our comprehensive analysis. Get insights on North America, Asia Pacific, Europe, and other key regions. Access country-level market data and understand market dynamics and growth potential across different regions.

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

Explore Artificial Intelligence Market Regional Demand with our comprehensive analysis. Get insights on North America, Asia Pacific, Europe, and other key regions. Access country-level market data and understand market dynamics and growth potential across different regions.

The global artificial intelligence-as-a-service market size reached USD 15.3 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 269.4 Billion by 2033, exhibiting a growth rate (CAGR) of 33.2% during 2025-2033. The development and implementation of AI models requiring a high level of technical expertise, the escalating investments in robust security measures, data encryption, and compliance frameworks, and the development of more advanced algorithms, models, and AI-based solutions are some of the major factors propelling the market.

IMARC Group provides an analysis of the key trends in each segment of the global artificial intelligence-as-a-service market report, along with forecasts at the global, regional and country levels from 2025-2033. Our report has categorized the market based on technology, organizations size and vertical.

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Artificial Intelligence In Aviation Market Size 2024-2028

The artificial intelligence (AI) in aviation market size is forecast to increase by USD 11.69 billion at a CAGR of 65.25% between 2023 and 2028.

The aviation industry is witnessing significant advancements with the integration of Artificial Intelligence (AI) technology. Virtual assistants are being increasingly used for quicker check-in processes and customer service, enhancing the overall travel experience. AI is also revolutionizing flight operations through dynamic pricing, which optimizes ticket pricing based on real-time demand and supply analysis. Furthermore, AI-powered computer vision is being employed for surveillance purposes, ensuring system efficiency and timely management of airport infrastructure.
However, the high cost of AI implementation, data privacy concerns, and a shortage of skilled tech workers pose challenges for the aviation industry. However, AI's potential to enhance training, data analysis, and operational efficiency makes it a crucial investment for future growth.

Artificial Intelligence In Aviation Market Analysis

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How is this market segmented and which is the largest segment?

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Component

  Software
  Hardware
  Service


Application

  Airline and airport operations
  Manufacturing and MRO activities


Geography

  North America

    US


  Europe

    Germany
    UK
    France


  APAC

    China


  South America



  Middle East and Africa

By Component Insights

The software segment is estimated to witness significant growth during the forecast period. Artificial Intelligence (AI) plays a pivotal role in the aerospace sector, particularly in the airline industry and airports. Cloud-based technologies facilitate the implementation of AI solutions, including machine learning, in various aviation applications. AI software streamlines operations in the aviation industry, with the software segment witnessing significant growth. In the airline industry, AI is utilized for flight planning and optimization, predictive maintenance, and air traffic management. Flight planning software uses AI algorithms to determine optimal flight routes, thereby reducing fuel consumption and improving flight efficiency. Predictive maintenance software analyzes aircraft data to anticipate maintenance requirements, thereby minimizing downtime and operational disruptions.

Additionally, air traffic management software optimizes air traffic flow, reducing congestion and enhancing airspace utilization. Moreover, AI-based chatbots offer customer service solutions, providing real-time support and streamlining passenger interactions. In the aviation industry, AI applications extend to crew management, where software assists in optimizing crew assignments and scheduling, ensuring operational smoothness. The machine learning segment is expected to dominate the AI market in aviation due to its ability to learn and adapt to new data, providing more accurate and efficient solutions. In conclusion, AI software is a vital driver of innovation and efficiency in the aviation industry, with applications ranging from flight planning and optimization to predictive maintenance, air traffic management, and customer service. The adoption of AI technologies is poised to revolutionize the aviation sector, enhancing operational efficiency and improving the passenger experience.

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The software segment was valued at USD 109.10 million in 2018 and showed a gradual increase during the forecast period.

Will North America become the largest contributor to the Artificial Intelligence In Aviation Market?

North America is estimated to contribute 45% to the growth of the global market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

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In the aviation industry, North America led the global market for AI technologies in 2023, driven by the adoption of Internet of Things (IoT), big data, and factory automation. The aerospace sector's heightened reliance on data analytics and cloud-based applications further fueled this growth. In the US, airports employ AI remote security technology to enhance security, with plans to install six ROSA180 units for detecting and deterring unauthorized access to parking garages and secure areas. AI's role in aviation is expanding, with applications in areas such as baggage screening, passenger identification, maintenance, customer support,

The statistic shows the share of global investment and financing in the field of artificial intelligence (AI) by country in the time period from 2013 to the first quarter of 2018. China leads all countries with 60 percent of total AI investment and funding over that time period. In 2017, China accounted for 70 percent of the 39.5 billion U.S. dollars invested in artificial intelligence worldwide in that year.

BackgroundThe impact and utility of machine learning (ML)-based prediction tools for cancer outcomes including assistive diagnosis, risk stratification, and adjunctive decision-making have been largely described and realized in the high income and upper-middle-income countries. However, statistical projections have estimated higher cancer incidence and mortality risks in low and lower-middle-income countries (LLMICs). Therefore, this review aimed to evaluate the utilization, model construction methods, and degree of implementation of ML-based models for cancer outcomes in LLMICs.MethodsPubMed/Medline, Scopus, and Web of Science databases were searched and articles describing the use of ML-based models for cancer among local populations in LLMICs between 2002 and 2022 were included. A total of 140 articles from 22,516 citations that met the eligibility criteria were included in this study.ResultsML-based models from LLMICs were often based on traditional ML algorithms than deep or deep hybrid learning. We found that the construction of ML-based models was skewed to particular LLMICs such as India, Iran, Pakistan, and Egypt with a paucity of applications in sub-Saharan Africa. Moreover, models for breast, head and neck, and brain cancer outcomes were frequently explored. Many models were deemed suboptimal according to the Prediction model Risk of Bias Assessment tool (PROBAST) due to sample size constraints and technical flaws in ML modeling even though their performance accuracy ranged from 0.65 to 1.00. While the development and internal validation were described for all models included (n=137), only 4.4% (6/137) have been validated in independent cohorts and 0.7% (1/137) have been assessed for clinical impact and efficacy.ConclusionOverall, the application of ML for modeling cancer outcomes in LLMICs is increasing. However, model development is largely unsatisfactory. We recommend model retraining using larger sample sizes, intensified external validation practices, and increased impact assessment studies using randomized controlled trial designsSystematic review registrationhttps://www.crd.york.ac.uk/prospero/display_record.php?RecordID=308345, identifier CRD42022308345.