The global sales of AI platform is projected to be worth USD 19.8 billion in 2024 and expected to reach a value of USD 136.5 billion by 2034. Sales are estimated to rise at a CAGR of 21.3% over the forecast period between 2024 and 2034. The income created by AI platform in 2023 was USD 16.3 billion. The industry is projected to register a Y-o-Y growth of 21.1% in 2024.

Semi Annual Market Update

Country-wise Insights

Category-wise Insights

Snapshot img

Artificial Intelligence Platforms Market Size 2024-2028

The artificial intelligence platforms market size is forecast to increase by USD 64.9 billion at a CAGR of 45.1% between 2023 and 2028. The market is experiencing significant growth due to the rising demand for AI-based solutions in various industries. Businesses are increasingly adopting AI technologies to automate processes, enhance productivity, and improve customer experiences. Another trend driving AI platforms market growth is the increasing interoperability among neural networks, enabling seamless data exchange and collaboration between different AI systems. However, the market also faces challenges such as the rise in data privacy issues and ethical concerns related to AI usage. As data becomes a valuable asset, ensuring its security and privacy is paramount for businesses implementing AI solutions. This dynamic market landscape underscores the critical role of artificial intelligence platforms in driving innovation and efficiency across various sectors such as education and telecommunications. Additionally, there is a need for clear regulations and guidelines to address ethical concerns and ensure transparency in AI decision-making. Overall, the market for artificial intelligence platforms is expected to continue its growth trajectory, driven by these trends and challenges.

What will be the Size of the Artificial Intelligence Platforms Market During the Forecast Period?

To learn more about the AI platforms market report, Request Free Sample

Artificial Intelligence Platforms Market Segmentation

The AI platforms 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.

Deployment Outlook 

  On-premise
  Cloud-based


Application Outlook

  Retail
  Banking
  Manufacturing
  Healthcare
  Others


Region Outlook

  North America

    U.S.
    Canada





  Europe

    U.K.
    Germany
    France
    Rest of Europe





  APAC

    China
    India





  Middle East & Africa

    Saudi Arabia
    South Africa
    Rest of the Middle East & Africa


  South America

    Chile
    Brazil
    Argentina

By Application Insights

The retail segment is estimated to witness significant growth during the forecast period. Artificial intelligence (AI) is revolutionizing various industries by enabling advanced data processing, pattern identification, and decision-making capabilities. In healthcare, AI is used for medical imaging analysis, drug discovery, and patient care. In the food and beverages sector, AI is employed for supply chain optimization and product innovation. Digital technologies, including AI software, are transforming banking by facilitating algorithmic trading, fraud detection, and credit risk assessment.

Industry adoption of AI is also prominent in business intelligence, customer experience, and operational efficiency. The emergence of technologies such as big data, IoT, customer relationship management (CRM), and workflow automation are accelerating technological transformations in the sector. AI is used to provide personalized recommendations, automate processes, and optimize workflows. Intelligent virtual assistants, chatbots, natural language processing, speech recognition, and conversational AI interactions are increasingly being used to enhance customer experience.

Get a glance at the market share of various regions. Download the PDF Sample

The retail segment accounted for USD 662.60 million in 2018. Industry-specific AI Solutions are being developed for finance, where they are used for regulatory support, ethical considerations, data privacy, and security concerns. AI as a service (AIaaS) and cloud computing platforms are enabling businesses to leverage AI capabilities without having to build and maintain their own infrastructure.

Autonomous systems are being adopted for process optimization in manufacturing and logistics. In conclusion, AI is transforming industries by enabling advanced data processing, pattern identification, and decision-making capabilities. Its applications include healthcare, food and beverages, banking, business intelligence, customer experience, and operational efficiency. AI is also being used to develop industry-specific solutions for finance, and to enable autonomous systems for process optimization. Despite the numerous benefits, ethical considerations, data privacy, and security concerns remain key challenges.

Regional Analysis

For more insights on the market share of various regions, Download PDF Sample now!

North America is estimated to contribute 66% to the growth of the global artificial intelligence platforms market during the market forecast period. Technavio's analysts have elaborately explained the regional trends an

According to Cognitive Market Research, the global Artificial Intelligence Platform market size is USD 150.1 billion in 2024 and will expand at a compound annual growth rate (CAGR) of 36.4% from 2024 to 2031. Market Dynamics of Artificial Intelligence Platform Market

Key Drivers for Artificial Intelligence Platform Market

Growing Industry Adoption of AI-Powered Solutions to Increase the Demand Globally - One key driver in the Artificial Intelligence Platform market is the growing industry adoption of AI-powered solutions. Businesses worldwide are recognizing the transformative potential of Artificial Intelligence in enhancing operations, decision-making, and customer experiences. This growing acceptance is fueling a surge in demand for AI-driven technologies as organizations seek to capitalize on the myriad benefits they offer, driving momentum in the global market. Rise of Intelligent Virtual Assistants and Chatbots

Key Restraints for Artificial Intelligence Platform Market

Data Privacy and Security Concerns Complexity and Integration Challenges Introduction of the Artificial Intelligence Platform Market

The Artificial Intelligence Platform is a versatile framework tailored for diverse industries aimed at enhancing operational efficiency beyond conventional methods. It facilitates cost reduction through multiple avenues, including the prevention of redundant work, automation of simpler tasks, and the elimination of costly activities such as data duplication or extraction. One of the key drivers propelling the growth of the Artificial Intelligence Platform market is the growing demand for advanced technological solutions across industries. Businesses are increasingly leveraging innovative tools like Artificial Intelligence, Machine Learning, and Data Analytics to enhance efficiency, productivity, and decision-making processes. This surge is fueled by the recognition of the competitive advantages these technologies offer, including improved insights, cost savings, and the ability to adapt to rapidly evolving market dynamics.

AI Platform Market is Segmented by Component (Software and Services), Deployment (Cloud and On-Premises), End-User Enterprise Size (Large Enterprises and Small and Medium Enterprises), Application (Natural Language Processing (NLP), Computer Vision, and More), End-Use Industry (BFSI, Healthcare and Life Sciences, and More), and by Geography. The Market Forecasts are Provided in Terms of Value (USD).

Gain in-depth insights into Artificial Intelligence Platform Market Report from Market Research Intellect, valued at USD 60 billion in 2024, and projected to grow to USD 190 billion by 2033 with a CAGR of 14.2% from 2026 to 2033.

The forecast for the global Artificial Intelligence Platform market predicts substantial growth, with market size projected to soar to USD 80.51 Billion by 2033, a significant increase from the USD 18.54 Billion recorded in 2024. This expansion reflects an impressive compound annual growth rate (CAGR) of 17.72% anticipated between 2025 and 2033.

The Global Artificial Intelligence Platform market

In 2022, the market for artificial intelligence (AI) platforms deployed via public cloud services in the Asia-Pacific region was valued at around 828 million U.S. dollars. It was forecast to grow significantly over the next years, set to reach close to four billion dollars by 2026.

Artificial Intelligence Platform Market Outlook

The global market size for Artificial Intelligence (AI) platforms is expected to reach approximately $40 billion by the end of 2023 and is projected to soar to around $200 billion by 2032, reflecting a robust Compound Annual Growth Rate (CAGR) of 20%. This remarkable growth is being driven by the increasing adoption of AI solutions across various sectors, the rising investment in AI research and development, and the growing need for machine learning and deep learning technologies to enhance operational efficiency and decision-making processes.

One of the primary growth factors for the AI platform market is the continuous advancements in AI algorithms and computational power. The increasing efficiency and capability of AI technologies have enabled businesses to leverage these platforms for complex problem-solving tasks. This is particularly evident in sectors such as healthcare, finance, and manufacturing, where AI is being used to analyze large datasets, predict outcomes, and automate routine tasks. Furthermore, the integration of AI with other emerging technologies like the Internet of Things (IoT), blockchain, and edge computing is creating new avenues for market growth.

Another significant driver is the rising demand for AI-driven customer services and personalized experiences. Companies are increasingly utilizing AI platforms to enhance customer engagement through chatbots, recommendation systems, and sentiment analysis. These AI applications provide businesses with deeper insights into customer behavior and preferences, allowing for more targeted marketing strategies and improved customer satisfaction. As a result, the retail and e-commerce sectors are particularly benefiting from AI adoption, boosting the overall market growth.

Moreover, the surge in investments from both private and public sectors is accelerating the development and deployment of AI platforms. Governments worldwide are recognizing the strategic importance of AI in driving economic growth and are thus funding AI research initiatives, fostering innovation, and implementing favorable policies. Concurrently, venture capital firms and tech giants are investing heavily in AI startups and established companies to capitalize on the burgeoning market opportunities. This influx of capital is fueling rapid advancements and commercialization of AI technologies.

Regionally, North America currently leads the AI platform market due to its strong technological infrastructure, high adoption rates of AI, and significant R&D activities. However, the Asia Pacific region is expected to exhibit the fastest growth over the forecast period, driven by increasing digitalization, rising internet penetration, and supportive government initiatives in countries like China, India, and Japan. Europe also holds a substantial share of the market, with growing investments in AI by leading economies such as Germany, the UK, and France.

Component Analysis

The AI platform market can be segmented by components into software, hardware, and services. The software segment is anticipated to hold the largest market share due to the increasing demand for AI-driven applications and solutions across various industries. AI software includes machine learning tools, natural language processing (NLP) software, predictive analytics, and other AI-driven applications. These software solutions are essential for businesses looking to leverage AI to enhance their operational efficiency and gain a competitive edge.

Hardware, another critical component segment, encompasses AI-optimized processors, graphics processing units (GPUs), and other specialized hardware required to support AI workloads. The hardware segment is experiencing significant growth owing to the rising need for high-performance computing to process complex AI algorithms and vast amounts of data. Major tech companies are investing in the development of advanced AI hardware to improve processing speeds and energy efficiency, thereby driving market growth.

The services segment of the AI platform market includes consulting, system integration, and support and maintenance services. As AI technologies become more sophisticated, the demand for professional services to guide businesses through the implementation and optimization of AI solutions is increasing. These services ensure that AI platforms are effectively integrated into existing systems and are tailored to meet the specific needs of different industries. Consequently, the services segment is expected to witness substantial growth over th

The global Artificial Intelligence (AI) Software Platform market is expected to reach USD 7.496 billion by 2033, exhibiting a CAGR of 31.41% during the forecast period. The market growth is primarily attributed to the increasing adoption of AI technologies across various industries. AI software platforms enable businesses to automate tasks, improve decision-making, and gain insights from data. The rising demand for AI solutions in sectors such as BFSI, manufacturing, healthcare, and retail is further driving market expansion. Additionally, government initiatives and investments in AI research and development are contributing to the market growth. The market is segmented based on deployment model, enterprise size, technology, application, end users, and region. The cloud deployment model is expected to dominate the market due to its scalability, flexibility, and cost-effectiveness. Large enterprises are expected to be the major end-users of AI software platforms, owing to their extensive resources and need for advanced AI solutions. North America is projected to hold the largest market share, followed by Europe and Asia Pacific. Key market players include Microsoft Corporation, Salesforce Inc., Samsung Electronics, and IBM Corporation, among others. Recent developments include: March 2022 - Google launched a Cloud Contact Center for AI Platform. This platform integrates cloud and AI scalability integrated with customer relationship management software, support marketing and customer support teams and unify sales., March 2022 - Baidu AI Cloud's digital avatar platform XiLing had launched an new AI platform to enable on-device feature, generate digital avatars for translating sign language, real-time translation from hand to speech gestures and live interpretation in few minutes.. Key drivers for this market are: Increase in investment in R&D of AI Technology, Advances in Deep Neural Networks. Potential restraints include: Limited AI Expertise.

The artificial intelligence software platforms market size registered a valuation of USD 44.9 billion in 2024 and is poised to reach USD 1.4 trillion by 2037, rising at a CAGR of 30.7% during the forecast period from 2025 to 2037. North America is poised to account for a dominant revenue share of 38.8% by the end of 2037, bolstered by a higher concentration of AI research hubs and rising adoption rates

According to Cognitive Market Research, the global Digital Intelligence Platform Market will be USD 10.3 billion in 2024 and expand at a compound annual growth rate (CAGR) of 17.2% from 2024 to 2031. Market Dynamics of Digital Intelligence Platform Market

Key Drivers for Digital Intelligence Platform Market



  Increasing emphasis on data-driven decision-making - The availability of data from One of the primary drivers of the worldwide digital intelligence platform market is the growing awareness of data-driven decision-making across sectors. Organizations recognize the value of using data to acquire insights into consumer behavior, current market trends, and operational efficiencies. The development of digital intelligence platforms is critical for assisting with the collection, processing, and interpretation of huge amounts of data that enable informed decision-making processes.


  Rapid Progress in Artificial Intelligence and Machine Learning




Key Restraints for Digital Intelligence Platform Market



  Data privacy & security issues hamper the market growth 

The major restraints hindering the growth of digital intelligence platforms is the increasing concern around data privacy and security. These platforms rely heavily on the collection, storage, and analysis of large volumes of customer data to deliver personalized insights, drive strategic decision-making, and enhance customer experiences. However, stringent data privacy regulations such as the General Data Protection Regulation (GDPR) in Europe, the California Consumer Privacy Act (CCPA) in the U.S., and similar laws worldwide impose strict guidelines on how customer data can be collected, processed, and shared. Businesses must navigate complex compliance requirements, which can limit the scope of data utilization and hamper the full potential of digital intelligence tools. In addition to regulatory challenges, the rising incidence of cyberattacks and data breaches poses a significant threat to digital intelligence platforms. For instance, Between January 2018 and September 2023, 373 central and state government websites were hacked, High-profile data breaches have heightened consumer awareness and concern over how their personal information is being used and protected. As a result, organizations may face reputational damage, financial penalties, and a loss of customer trust in the event of a data leak. This growing risk landscape forces businesses to invest heavily in cybersecurity infrastructure and data governance measures, thereby increasing operational costs and potentially slowing down the adoption and implementation of digital intelligence solutions. Together, these challenges could significantly restrain the market growth of digital intelligence platforms in the near future.

Integration Challenges with Existing Infrastructure

Opportunity

Integration of AI & ML in digital intelligence platforms is an opportunity for the market 

The increasing adoption of artificial intelligence (AI) and machine learning (ML) technologies across industries, is the opportunity for the market. With more businesses depending on data to understand consumer behavior, operation efficiency, and market trends, AI and ML provide an effective means to upgrade the competency of digital intelligence platforms. These technologies can process and analyze large amounts of structured and unstructured data at scale, identifying patterns, trends, and correlations that might otherwise escape the notice of traditional data analytics techniques. As AI and ML have evolved, digital intelligence platforms are now able to make better predictions, perform real-time analysis, and actionable insights, which helps businesses take prompt decisions. For example, in industries such as retail, banking, and healthcare, AI-based platforms are capable of giving individualized recommendations, streamlining inventory management, flagging suspicious activities, and even forecasting patient outcomes. This level of granularity and personalization is becoming increasingly important as companies need to remain competitive in an increasingly dynamic marketplace. For instance, Companies are using AI/ML to improve existing processes (67%), predict business performance/industry trends (60%) and reduce risk (53%). (Source - https://dl.icdst.org/pdfs/files4/4e3ab262835dc7966af5727d80a27389.pdf )...

According to Cognitive Market Research, the global Customer Intelligence Platform Market will be USD 2021.1 million in 2024 and expand at a compound annual growth rate (CAGR) of 24.9 % from 2024 to 2031. Market Dynamics of Customer Intelligence Platform Market

Key Drivers for Customer Intelligence Platform Market



  Increased adoption of advanced analytics and artificial intelligence - The growing usage of sophisticated analytics and artificial intelligence (AI) is one of the primary drivers of the customer intelligence platform market. The term "advanced analytics" refers to the use of sophisticated methods and equipment to analyze large amounts of data and provide relevant insights. Artificial intelligence (AI) is the development of intelligent computers capable of doing activities that have historically needed human intelligence, such as natural language processing, machine learning, and predictive analytics. Customer intelligence systems collect and analyze data from a variety of sources, including social media, customer interactions, and transaction history, employing novel analytics and artificial intelligence technology. Using these technologies allows businesses to have a deeper understanding of their customers' preferences and behavior patterns. This allows firms to create customer-relevant, data-driven marketing strategies and decisions.


  Need to get a comprehensive view of consumer data.




Key Restraints for Customer Intelligence Platform Market



  Lack of Skilled Professionals Limits Market Growth


  Lack of data quality and challenges in data integration hamper the market growth



Required to abide by data privacy legislation and defend against customer information hamper the market

Customer intelligence platforms consolidate first-party customer data from diverse channels and sources into a single customer view. Under the General Data Protection Regulation (GDPR) and other data privacy legislation, marketers are required to get marketing consent from consumers. Customer data is very susceptible to breaches and cyberattacks. Therefore, it becomes essential for a customer intelligence platform to comprehend the principal challenges relating to data management, including customer information protection as sensitive data and marketing consent of consumers. An ideal customer intelligence platform must be supported by a data model based on consent; it facilitates storing information of customer journey and consent to marketing and delivers customers transparency as well as control over the way their data gets utilized. If the customer has opted out of permission for use of their data, then the customer intelligence platform should add them to a direct mail suppression list and make sure that it will not get any unwanted marketing material through any other medium. In those nations with weak or no regulations regarding customer data privacy, customer intelligence platform solutions are applied on existing data privacy situations or even in expectation of the regulations that may emerge within the near future. It might cause problems when such new legislation is enacted surrounding customer data privacy. Therefore, the necessity of privacy of customer information and adherence to data privacy regulations is central to the acceptance of customer intelligence platforms.

Opportunities for Customer Intelligence Platform

Rising the use of Customer Intelligence Platforms to Track Market Changes

The ever-changing nature of consumer behavior and market dynamics has resulted in a rapid increase in the use of customer intelligence platforms. Companies are now more aware of the importance of remaining agile and responsive to ensure a competitive advantage. Customer intelligence platforms allow organizations to aggregate real-time information from various touchpoints like websites, social media, mobile applications, and customer service interactions—into a single view, enabling them to gain deeper insights into evolving trends and changing customer preferences. Through the use of advanced analytics and AI-based tools, such platforms enable businesses to identify shifts in purchasing behavior, sentiment in the market, and campaign effectiveness well before they happen. This enables businesses to adjust strategies, tailor customer experiences, and make better-informed decisions with data-driven accuracy. For i...

Artificial Intelligence Software Platform comes with extensive industry analysis of development components, patterns, flows, and sizes. The report calculates present and past market values to forecast potential market management during the forecast period between 2025 - 2033.

Global artificial intelligence (AI) market worth at USD 219.25 Billion in 2024, is expected to surpass USD 3983.94 Billion by 2034, with a CAGR of 33.64% from 2025 to 2034.

Global Artificial Intelligence Platforms market size is expected to reach $51.73 billion by 2029 at 27.7%, segmented as by artificial intelligence tools, development tools, visualization tools, testing and monitoring tools

Market Analysis for Artificial Intelligence Platform The global AI platform market is experiencing rapid growth, with a market size valued at $38,120 million in 2025 and projected to reach $138,230 million by 2033, exhibiting a CAGR of 18.6%. The market is driven by factors such as increasing adoption of AI solutions for automating tasks, improving decision-making, and enhancing customer experiences. Advancements in machine learning, deep learning, and natural language processing are further boosting market growth. The AI platform market is segmented by type (on-premise, cloud-based), application (voice processing, text processing, image processing), end-user industry (healthcare, manufacturing, retail), and region (North America, Europe, Asia Pacific). Key vendors in the market include Google, IBM, Microsoft, and Baidu. The market is highly competitive, with vendors focusing on innovation and strategic partnerships to gain market share. Technological advancements, the emergence of new applications, and growing demand from various industries are expected to drive further market expansion in the coming years.

Artificial Intelligence (AI) Software Market was valued at USD 515.31 Billion in 2024 and is projected to reach USD 2740.46 Billion by 2032, growing at a CAGR of 20.4% during the forecast period 2026-2032.

Artificial Intelligence (AI) Software Market Drivers

Increasing Data Generation: The exponential growth of data across industries provides rich material for AI algorithms to learn from and make intelligent decisions.

Advancements in AI Technology: Continuous innovations in AI, such as machine learning, deep learning, and natural language processing, are expanding the capabilities and applications of AI software.

Growing Demand for Automation: Businesses are seeking AI-powered solutions to automate routine tasks, improve efficiency, and reduce operational costs.

Enhanced Decision-Making: AI software enables data-driven insights and predictive analytics, empowering organizations to make informed decisions.

Personalization and Customer Experience: AI-driven personalization tools tailor products and services to individual preferences, leading to improved customer satisfaction and loyalty.

According to Cognitive Market Research, the global Artificial Intelligence (AI) market size will be USD 161.2 billion in 2024 and will expand at a compound annual growth rate (CAGR) of 37.90% from 2024 to 2031. Market Dynamics of Artificial Intelligence (AI) Market

Key Drivers for Artificial Intelligence (AI) Market

Increased Use of Self-driving Artificial Intelligence to Increase the Demand Globally: The artificial intelligence industry is expanding as a result of the growing use of autonomous AI. This movement is driven by developments in NPL, ML, and algorithms that make it possible to create complex autonomous AI systems. Because these systems are more accurate and dependable, businesses from a variety of industries are drawn to them. Operations are optimized using autonomous AI, which lowers costs and boosts output. Applications for it can be found in the manufacturing, transportation, healthcare, and financial industries. The use of autonomous AI is further propelled by the automation-driven cost reduction connected with the industry.

Expanding Adoption of AI Across various Industries: AI is being embraced across different industries, from health care to banking and manufacturing, to automate procedures, increase efficiency, and decrease costs., Its increasing adoption illustrates the expansion of AI utilized in numerous departments, as most executives opine automation has the capacity to improve any business decision. It is so flexible and expandable that organizations can deploy AI for various applications, including automation of processes, predictive maintenance, and user servicing, revolutionizing business operations. For Instance, in May 2024, Newgen Software introduced LumYn, the globe's first Gen AI-driven hyper-personalization platform for banks. LumYn boosts client interaction using conversational AI and predictive intelligence to deliver customized product launches while maintaining data security and privacy. (Source:https://newgensoft.com/company/press-releases/lumyn-ai-powered-hyper-personalization-platform/ ) This adoption is also driven by the convergence of AI with cloud computing and big data technologies, which increase its analytical power and availability, thus increasing its use across various industries. Additionally, regulatory progress and growing government support for AI research and ethical frameworks are encouraging safe and responsible deployment of AI, further pushing its market penetration and innovation.

Key Restraints for Artificial Intelligence (AI) Market

Ethical Concerns Regarding AI Use is boosting the market growth: The evolution and uptake of artificial intelligence (AI) technologies in various industries, ethical issues continue to be a strong hindrance on the growth of the market. These include the possibilities of AI misuse through decision making bias in algorithms, invasion of data privacy, overreach of surveillance, and lack of transparency in AI systems. Both organizations and consumers increasingly realize how AI may reinforce social inequalities or produce unintended effects, especially in such sensitive domains as healthcare, law enforcement, hiring, and finance. Governments and regulatory agencies are now enforcing stricter ethical standards and compliance requirements, which can hinder the rollout of AI solutions. For example, the European Union's AI Act imposes stringent requirements on high-risk AI systems, raising development costs and constraining scalability for businesses. Moreover, public confidence in AI technologies is diminishing in certain industries, further deterring investment and adoption. Job displacement fears owing to automation add to workforce and policymaker resistance, impacting long-term planning and integration. These are moral issues requiring more accountable innovation and need for explainable AI, transparency, and accountability frameworks, which as much as they are vital, increase complexity and timeliness in AI deployment eventually serving as a brake on overall market expansion.

Trends of Artificial Intelligence (AI) Market

Rapid Adoption of Generative AI Across Various Industries: Generative AI technologies—such as large language models (LLMs), image generation tools, and automated content creation systems—are being swiftly embraced across sectors including marketing, software development, customer service, and healthcare. Organizations are leveraging ...

The No Code AI Platform Market report segments the industry into By Component (Platfom, Services), By Enterprise Size (Large Enterprises, SMES), By Deployment (On-premise, Cloud), By End Users (IT & Telecom, BFSI, Retail & E-Commerce, Healthcare & Lifesciences, Government, Others), and By Geography (North America, Europe, Asia, Australia and New Zealand, Latin America, Middle East and Africa).

The global artificial intelligence (AI) software market is forecast to grow rapidly in the coming years, reaching around *** billion U.S. dollars by 2025. The overall AI market includes a wide array of applications such as natural language processing, robotic process automation, and machine learning. What is artificial intelligence? Artificial intelligence refers to the capability of a machine that is able to replicate or simulate intelligent human behaviours such as analysing and making judgments and decisions. Originated in the computer sciences and a contested area in philosophy, artificial intelligence has evolved and developed rapidly in the past decades and AI use cases can now be found in all corners of our society: the digital voice assistants that reside in our smartphones or smart speakers, customer support chatbots, as well as industrial robots. Investments in AI Many of the biggest names in the tech industry have invested heavily into both AI acquisitions and AI related research and development. When it comes to AI patent applications by company, Microsoft, IBM, Google, and Samsung have each submitted thousands of such applications, and funding for AI related start-ups are raking in dozens of billions of dollars each year.