This statistic shows current and anticipated machine learning maturity levels in companies. According to the survey, of the respondents who are actively engaging in ML currently, 21 percent of respondents said they are evaluating use cases, based on an average of both survey groups. 17 percent of companies have developed models but are still working toward production.

Around a third of respondents said that their organizations need between three months and a year to deploy a machine learning (ML) model as of 2021. One-tenth of respondents reported a ML deployment timeline of less than a week.

According to a recent survey, 56 percent of respondents state experiencing issues with security and auditability requirements when deploying machine learning and artificial intelligence in 2021. Auditability is the degree to which transaction from the originator to the approver and final disposition can be traced.

This dataset is about books and is filtered where the book is Foundations of programming, statistics, and machine learning for business analytics, featuring 7 columns including author, BNB id, book, book publisher, and ISBN. The preview is ordered by publication date (descending).

This statistic shows the biggest reasons for machine learning technology adoption in organizations worldwide as of 2018. Thirty-three percent of the respondents stated that the single most important driver for using machine learning technology in their organizations was business analytics.

We used ORBIS as business register. It is a global corporate database maintained by Bureau van Dijk (http://bvdinfo.com/orbis) and contains detailed corporate information on over 200 million private companies world wide. The database has been claimed to ‘suffer from some structural biases’ (Ribeiro et al., 2010). However, regarding European companies with an annual turnover of more than € 100000, the data set is practically complete (Garcia‐Bernardo and Takes, 2018). Data from business registers regarding smaller foreign companies are not needed in our analysis, as these companies do not have to file tax returns in the Netherlands. The ORBIS database is used, because it contains the principal and secondary NACE (revision 2) codes for companies that are established in the EU. The NACE code can be used to select all active (and inactive) companies that are established in the EU and that are principally or secondarily economically active in retail trade. The result is a data set of 6996468 companies, from which companies established in the Netherlands have been excluded. This data set, including each company's country of establishment, was extracted from ORBIS on June 24th, 2017.The data has been used in the following publication:https://doi.org/10.1111/rssa.12487

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The machine learning market is fragmented. The market vendors are increasingly focusing on quality, pricing, and innovation to strengthen their position in the machine learning market. The machine learning market research report offers comprehensive vendor information and analysis that help in getting a clear picture of the competitive landscape of the market.

Some of the key vendors operating in the global machine learning market are:

Alibaba Group Holding Ltd.Alphabet Inc.Amazon.com Inc.Cisco Systems Inc.Hewlett Packard Enterprise Development LPInternational Business Machines Corp.Microsoft Corp.Salesforce.com Inc.SAP SESAS Institute Inc.

As of 2023, customer data was the leading source of information used to train artificial intelligence (AI) models in South Korea, with nearly 70 percent of surveyed companies answering that way. About 62 percent responded to use existing data within the company when training their AI model.

Machine Learning Statistics 2023

• To make the most of massive data sets, 8% of firms utilize machine learning, deep learning, data analysis, and natural language processing.
• Security is a top priority for any business.
• A.I. accounts for around 25% of I.T. By 2026, the hardware market is anticipated to be worth $87.68 billion.
• COVID has resulted in a 12% decrease in A.I. chip-making enterprises.
• By 2025, the American deep-learning market is anticipated to be worth $80 million.
• 91.5% of the world's largest corporations invest in artificial intelligence.
• Senior executives personally oversee 75% of artificial intelligence projects.
• Tesla's self-driving vehicles traveled more than 188 billion miles in the fourth quarter of 2019.
• When used multiple times over a six-month period, voice assistance usage increased by 5%.

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The Machine Learning Market is predicted to witness an Accelerate growth rate. The Incremental growth and the Accelerate growth momentum will encourage established as well as new vendors to make investments and strengthen their position in the Machine Learning Market.

The Machine Learning Market prediction has been derived by triangulating data from multiple sources and approaches. While arriving at the market size, we have considered data points, such as the size of the parent market and the revenues of key market participants, such as Alibaba Group Holding Ltd., Alphabet Inc., Amazon.com Inc., Cisco Systems Inc., Hewlett Packard Enterprise Development LP, International Business Machines Corp., Microsoft Corp., Salesforce.com Inc., SAP SE, and SAS Institute Inc..

The Decision-Making Intelligent Service market is rapidly evolving as organizations increasingly seek data-driven solutions to enhance their decision-making processes. This market encompasses various technologies, including advanced analytics, artificial intelligence, and machine learning, which empower businesses t

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Cloud Artificial Intelligence (AI) Market Size 2024-2028

The cloud artificial intelligence (ai) market size is forecast to increase by USD 12.61 billion at a CAGR of 24.1% between 2023 and 2028.

The market is experiencing significant growth, driven by the emergence of technologically advanced devices and the increasing adoption of 5G and mobile penetration. These factors enable the integration of AI technologies into various applications, leading to improved efficiency and productivity. However, the market also faces challenges from open-source platforms, which offer free AI solutions, making it difficult for market players to compete on price. Despite this, the market is expected to continue its growth trajectory, driven by the increasing demand for AI solutions in various industries, including healthcare, finance, and retail. Organizations are leveraging cloud-based AI solutions to gain insights from their data, automate processes, and enhance customer experiences.The market analysis report provides a comprehensive overview of these trends and challenges, offering valuable insights for stakeholders looking to capitalize on the growth opportunities In the cloud AI market.

What will be the Size of the Cloud Artificial Intelligence (AI) Market During the Forecast Period?

Request Free SampleThe market is experiencing robust growth, driven by the increasing adoption of machine learning (ML), deep learning, neural networks, and generative AI technologies. These advanced algorithms are revolutionizing various industries by emulating human intelligence in speech recognition, digital media, diagnostics, cybersecurity, and business decision-making. Hyperscale cloud platforms are becoming the preferred infrastructure for AI applications due to their ability to handle massive data processing requirements. Cloud AI solutions are transforming IT services by automating routine tasks, enhancing data analytics, and improving human capital management. They offer significant cost savings by eliminating the need for expensive hardware and maintenance. Moreover, AI-driven cloud management and data management solutions enable predictive analytics, personalization, productivity, and security enhancements.In addition, AI is playing a pivotal role in threat detection and cybersecurity, ensuring business continuity and data protection. Overall, the cloud AI market is poised for exponential growth, as organizations continue to leverage AI to gain a competitive edge In their respective industries.

How is this Cloud Artificial Intelligence (AI) Industry segmented and which is the largest segment?

The cloud artificial intelligence (ai) industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments. ComponentSoftwareServicesGeographyNorth AmericaUSEuropeGermanyUKAPACChinaJapanSouth AmericaMiddle East and Africa

By Component Insights

The software segment is estimated to witness significant growth during the forecast period.

Artificial Intelligence (AI) software replicates human learning and behavior, revolutionizing various business sectors. AI development involves creating new software or enhancing existing solutions to deliver analytics results and trigger actions based on them. Applications of AI include automating business processes, personalizing services, and generating industry-specific insights. The digitization trend has driven industrial transformations, with healthcare being a prime example. According to BDO's Healthcare Digital Transformation Survey, 93% of US healthcare organizations adopted digital transformation strategies in 2021, integrating AI, computing, and enterprise resource planning software. AI functionality encompasses speech recognition, machine learning (ML), deep learning, neural networks, generative AI, automation, decision-making, and more.Hyperscale cloud platforms, IT services, infrastructure, data analytics, human capital management, cost savings, cloud management, data management, predictive analytics, personalization, productivity, security, threat detection, integration, talent gap, and chatbots are significant AI applications. AI tools process data, power business intelligence, and enable lower costs through ML-based models and GPUs. Enterprise datacenters, virtualization, public clouds, private clouds, and hybrid cloud solutions leverage AI for non-repetitive tasks. AI streamlines workloads, automates repetitive tasks, monitors and manages IT infrastructure, and offers dynamic cloud services. AI is transforming industries, from retail inventory management to financial organizations, providing competitive advantages through cost savings and improved decision-making capabilities.

Get a glance at the Cloud Artificial Intelligence (AI) Industry repo

The Automated Machine Learning Market Report is Segmented by Solution (Standalone or On-Premises and Cloud), Automation Type (Data Processing, Feature Engineering, Modeling, and Visualization), End User (BFSI, Retail and E-Commerce, Healthcare, and Manufacturing), and Geography (North America, Europe, Asia-Pacific, Latin America, and Middle East and Africa). The Market Sizes and Forecasts are Provided in Terms of Value (USD) for all the Above Segments.

The 3D Smart Sensor for Industry market is experiencing significant growth as industries increasingly adopt innovative technologies to enhance operational efficiency and accuracy. These advanced sensors leverage cutting-edge technologies like machine learning and artificial intelligence to provide precise three-dime

The Predictive Analytics and Machine Learning market has rapidly emerged as a cornerstone of modern business intelligence, empowering organizations to leverage data for forecasting future trends and enhancing decision-making processes. As companies navigate an increasingly competitive landscape, the ability to analy

The AI & Machine Learning Operationalization (MLOps) Software market has emerged as a pivotal component in the integration of artificial intelligence technologies into mainstream business operations. MLOps bridges the gap between machine learning model development and deployment, enabling organizations to streamline

The Behavioral Analytic Tool market is rapidly evolving, driven by the increasing need for organizations to understand consumer behavior and enhance decision-making processes. These tools leverage advanced algorithms and machine learning to analyze user interactions across various platforms, providing businesses wit

The share of respondents using machine learning for rate-setting to the full scale in their insurance businesses in 2020 was significantly elevated. However, no submitted plans for applying machine learning models in calculation of insurance reserves were reported by nearly two thirds of the polled experts. Machine learning was rather widely implemented by Russian insurers for sales and marketing purposes in that year as well.

Business Analytics Market was valued at USD 84.42 Billion in 2024 and is projected to reach USD 176.14 Billion by 2031, growing at a CAGR of 9.63% from 2024 to 2031.

Global Business Analytics Market Drivers

The market drivers for the Business Analytics Market can be influenced by various factors. These may include:

Growing Adoption of Big Data Analytics: In order to extract meaningful insights from their data, organizations are progressively using big data analytics in response to the exponential expansion of data. Making educated decisions through data analysis is facilitated by business analytics.
Growing Need for Data-driven Decision Making: In order to obtain a competitive edge, businesses are realizing the significance of data-driven decision making. The methods and instruments for data analysis and significant insights extraction for improved decision-making are offered by business analytics.
Growing Need for Predictive and Prescriptive Analytics: Predictive and prescriptive analytics are becoming more and more in demand as a means of projecting future trends and results. Businesses can use business analytics to prescribe activities to achieve desired outcomes and forecast future outcomes based on previous data.
Growing Emphasis on Customer Analytics: As e-commerce and digital marketing gain traction, companies are putting more of an emphasis on comprehending the behavior and preferences of their customers. In order to increase consumer engagement and personalize marketing efforts, business analytics is used to analyze customer data.
Emergence of Advanced Technologies: The use of advanced analytics solutions is being propelled by developments in fields like artificial intelligence (AI), machine learning (ML), and natural language processing (NLP). Businesses may now analyze data more effectively and gain deeper insights thanks to these technologies.
Operational Efficiency and Cost Optimization Are Necessary: Companies are always under pressure to increase operational efficiency and reduce costs. Business analytics promotes market expansion by assisting in the identification of opportunities for process and cost-cutting enhancements.
Compliance and Regulatory Requirements: The use of business analytics solutions for risk management and compliance reporting is being fueled by the growing regulatory requirements in a number of industries, including healthcare, banking, and retail.

The global mobile business intelligence market size reached USD 15.9 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 54.6 Billion by 2033, exhibiting a growth rate (CAGR) of 14.69% during 2025-2033. The global market is primarily driven by the rising demand for real-time data access, the growth of remote work, advancements in AI and machine learning, an increase in data volume, the adoption of cloud-based solutions, stringent data security needs, and the necessity for seamless integration with existing business systems.

IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the global, regional, and country levels for 2025-2033. Our report has categorized the market based on solution, deployment mode, enterprise size, application, and end user vertical.