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The total value of the artificial intelligence market is projected to increase from 150.4 billion US dollars in 2023 to 1,345.5 billion US dollars by 2030, representing a compound annual growth rate (CAGR) of 37.8% throughout the period covered by this projection. Artificial intelligence (AI) is currently undergoing a revolution across a variety of business sectors, establishing itself as a key driver for a variety of developing technologies like big data analytics, robotics, and the Internet of Things (IoT). In addition, the growing use of generative AI tools like ChatGPT and AI art generators demonstrates how pervasive it has become in common culture. The trajectory that artificial intelligence (AI) is now on indicates that it will continue to be a significant force in driving technological innovation well into the foreseeable future.
The persistent research and innovation that is led by tech giants is what is driving the adoption of advanced technology across industry verticals such as the automotive, healthcare, retail, and financial sectors as well as manufacturing. For instance, in November 2020, Intel Corporation purchased Cnvrg.io, an Israeli company that creates and operates a platform for data scientists to build and run machine learning models, in order to strengthen its artificial intelligence business. Cnvrg.io was a firm that developed and operated a platform for data scientists to construct and run machine learning models. Technology has always been an important part of various sectors, but the advent of artificial intelligence (AI) has propelled it to the forefront of organisations. For instance, artificial intelligence is being integrated into practically every device and programme, from cars that drive themselves to essential medical equipment that can save lives.
In the most recent few years, the rapid proliferation of digital technology and the internet have been key contributors to the expansion of the market for artificial intelligence across the globe. The massive amounts of money that are being poured into research and development by the major players in the IT industry are continuously driving technical progress in a variety of different fields. It is anticipated that the expanding demand for artificial technology across a variety of end-use verticals, such as automotive, healthcare, banking and finance, manufacturing, food and beverage, logistics, and retail, will significantly drive the growth of the global artificial intelligence market over the next few years. The vast majority of industries have always placed a significant emphasis on new technological developments. The expansion of the artificial intelligence market throughout the world is being majorly fueled by the increasing demand for a variety of life-saving medical equipment and the inclusion of a self-driving capability in brand-new electric automobiles. The increasing attention paid all over the world to the process of digitalization is having a beneficial effect on the expansion of the market. The most influential companies in the world of technology, including Google, Microsoft, IBM, Amazon, and Apple, are boosting their financial commitments to the improvement and development of a wide variety of AI-based applications. It is anticipated that the increased efforts of tech giants towards improving access to AI will support the growth of the global AI market during the projected period. This growth is predicted to occur in the coming years.
The availability of historical data is the fundamental certainty that is causing the rate of innovation in artificial intelligence to accelerate. Because the process of storing and recovering data has grown more cost-effective, governmental organisations and healthcare institutions are now contributing unstructured and readily available data to the research sector. Researchers are developing a method for accessing diverse datasets, ranging from long-term patterns of rainfall to medical imaging. Researchers and information scientists are finding new motivation to develop quickly in the shape of next-generation computing architectures that provide access to extensive datasets. In addition, developments in intensive learning and ANN have fueled the acquisition of artificial intelligence in a variety of industries, including manufacturing, automotive, healthcare, and aerospace. The most recent report on the global market for artificial intelligence to be compiled by Transparency Market Research covers the years 2018 and 2019, as well as the years 2023 through 2030, and it focuses on the market's historical performance. It is anticipated that developments in deep learning and deep neural networks would propel growth in the global market for artificial intelligence throughout the period covered by the projection. The increasing demand for intelligent devices is acting as a significant driver for the proliferation of platforms that utilise artificial intelligence all over the world. The vast majority of businesses are moving in the direction of adopting intelligent machines, which are able to acquire new skills on their own and improve their overall performance over time.
The expansion of the artificial intelligence (AI) market is being fueled by the growing popularity of AI systems that operate on their own. The creation of advanced artificial intelligence systems has been made possible by recent leaps in algorithmic design, methods of machine learning, and natural language processing. These factors are driving this trend. Because of their increased precision and reliability, these systems are attracting businesses from a wide variety of sectors. The optimisation of operations brought about by autonomous AI results in cost savings and increased productivity. It has applications in the healthcare industry, as well as the financial sector, the industrial industry, the transportation industry, and the retail sector. The decrease in costs associated with autonomous artificial intelligence, which is driven by automation, further propels the adoption of this technology. The artificial intelligence industry is positioned for expansion, which will stimulate innovation and new opportunities as technology continues to advance and more sectors recognise the benefits it offers.
The amount of available data and its quality are two major factors that are holding back the development of the artificial intelligence sector. The development and implementation of AI solutions are hampered by the limited availability of data, which is particularly problematic in specialised fields or niche sectors. The essential training for artificial intelligence algorithms to make correct predictions and choices cannot be obtained without access to broad and diverse datasets. In addition, the quality of the data is absolutely necessary for the efficiency of AI systems. Imperfect results and unreliable AI models are the result of using data that is inaccurate, partial, or biassed. In order to guarantee the accuracy of the data, it is necessary to perform labour- and resource-intensive procedures such as thorough data cleaning and preprocessing, as well as validation. It can be difficult for organisations to achieve these requirements when they have limited resources, which might slow down the development and deployment of AI solutions. It is vital to encourage data sharing collaborations, invest in data collection and preprocessing skills, and set industry-wide standards for data quality and privacy in order to overcome these concerns. These efforts will increase the amount of data that is available, improve the data's quality, and create an atmosphere that is more favourable to the expansion of the artificial intelligence business.
Report Coverage
Global Artificial Intelligence research report categorizes the market for global based on various segments and regions, forecasts revenue growth, and analyzes trends in each submarket. Global Artificial Intelligence report analyses the key growth drivers, opportunities, and challenges influencing the global market. Recent market developments and Artificial Intelligence competitive strategies such as expansion, product launch and development, partnership, merger, and acquisition have been included to draw the competitive landscape in the market. The report strategically identifies and profiles the key Artificial Intelligence market players and analyses their core competencies in each global market sub-segments.
Key Points Covered in the Report
Competitive Environment:
The research provides an accurate study of the major organisations and companies operating in the global Artificial Intelligence market, along with a comparative evaluation based on their product portfolios, corporate summaries, geographic reach, business plans, Artificial Intelligence market shares in specific segments, and SWOT analyses. A detailed analysis of the firms' recent news and developments, such as product development, inventions, joint ventures, partnerships, mergers and acquisitions, strategic alliances, and other activities, is also included in the study. This makes it possible to assess the level of market competition as a whole.
List of Major Market Participants
Google (US), Microsoft (US), IBM (US), Oracle (US), AWS (US), Intel (US), Salesforce (US), SAP (Germany), Cisco (US), Meta (US), HPE (US), Siemens (Germany), Huawei (China), NVIDIA (US), Baidu (China), SAS Institute (US), OpenAI (US), H2O.ai (US), iFLYTEK (China), Alibaba Cloud (China), General Vision (US), Darktrace (UK), Blackberry Limited (Canada), DiDi Global (China), Face++ (China), Inbenta (US), Anju Software (US), Butterfly Network (US), Atomwise (US), AIBrain (US), SK Hynix (South Korea), Progress (US), PrecisionHawk (US), AgEagle Aerial System (US), Neurala (US), Twitter (US), Aurea Software (US), Persado (US), 8x8 (US), Appier (Taiwan), GumGum (US), IPRO (US), Graphcore (UK), Preferred Networks (Japan), Applied Brain Research (Canada), Pilot AI (US), Iris Automation (US), Gamaya (Switzerland), ec2ce (Spain), Descartes Labs (US), Mythic (US), Ada (Canada), Mostly AI (Austria), Sentient.io (Singapore), Lumen5 (Canada), AI Superior (Germany), Fosfor (India), Intrinsic (US), Jasper (US), Soundful (US), Writesonic (US), One AI (Israel).
Primary Target Market
Market Segment:
This study forecasts global, regional, and country revenue from 2019 to 2030. INFINITIVE DATA EXPERT has segmented the global Artificial Intelligence market based on the below-mentioned segments:
Global Artificial Intelligence Market, By Solution
Hardware
Software
Services
Global Artificial Intelligence market, By Technology
Deep Learning
Machine Learning
Natural Language Processing (NLP)
Machine Vision
Global Artificial Intelligence Market, By End User
Healthcare
BFSI
Retail
Advertising & Media
Automotive & Transportation
Agriculture
Manufacturing
Others
Global Artificial Intelligence market, Regional Analysis
The persistent research and innovation that is led by tech giants is what is driving the adoption of advanced technology across industry verticals such as the automotive, healthcare, retail, and financial sectors as well as manufacturing. For instance, in November 2020, Intel Corporation purchased Cnvrg.io, an Israeli company that creates and operates a platform for data scientists to build and run machine learning models, in order to strengthen its artificial intelligence business. Cnvrg.io was a firm that developed and operated a platform for data scientists to construct and run machine learning models. Technology has always been an important part of various sectors, but the advent of artificial intelligence (AI) has propelled it to the forefront of organisations. For instance, artificial intelligence is being integrated into practically every device and programme, from cars that drive themselves to essential medical equipment that can save lives.
In the most recent few years, the rapid proliferation of digital technology and the internet have been key contributors to the expansion of the market for artificial intelligence across the globe. The massive amounts of money that are being poured into research and development by the major players in the IT industry are continuously driving technical progress in a variety of different fields. It is anticipated that the expanding demand for artificial technology across a variety of end-use verticals, such as automotive, healthcare, banking and finance, manufacturing, food and beverage, logistics, and retail, will significantly drive the growth of the global artificial intelligence market over the next few years. The vast majority of industries have always placed a significant emphasis on new technological developments. The expansion of the artificial intelligence market throughout the world is being majorly fueled by the increasing demand for a variety of life-saving medical equipment and the inclusion of a self-driving capability in brand-new electric automobiles. The increasing attention paid all over the world to the process of digitalization is having a beneficial effect on the expansion of the market. The most influential companies in the world of technology, including Google, Microsoft, IBM, Amazon, and Apple, are boosting their financial commitments to the improvement and development of a wide variety of AI-based applications. It is anticipated that the increased efforts of tech giants towards improving access to AI will support the growth of the global AI market during the projected period. This growth is predicted to occur in the coming years.
The availability of historical data is the fundamental certainty that is causing the rate of innovation in artificial intelligence to accelerate. Because the process of storing and recovering data has grown more cost-effective, governmental organisations and healthcare institutions are now contributing unstructured and readily available data to the research sector. Researchers are developing a method for accessing diverse datasets, ranging from long-term patterns of rainfall to medical imaging. Researchers and information scientists are finding new motivation to develop quickly in the shape of next-generation computing architectures that provide access to extensive datasets. In addition, developments in intensive learning and ANN have fueled the acquisition of artificial intelligence in a variety of industries, including manufacturing, automotive, healthcare, and aerospace. The most recent report on the global market for artificial intelligence to be compiled by Transparency Market Research covers the years 2018 and 2019, as well as the years 2023 through 2030, and it focuses on the market's historical performance. It is anticipated that developments in deep learning and deep neural networks would propel growth in the global market for artificial intelligence throughout the period covered by the projection. The increasing demand for intelligent devices is acting as a significant driver for the proliferation of platforms that utilise artificial intelligence all over the world. The vast majority of businesses are moving in the direction of adopting intelligent machines, which are able to acquire new skills on their own and improve their overall performance over time.
The expansion of the artificial intelligence (AI) market is being fueled by the growing popularity of AI systems that operate on their own. The creation of advanced artificial intelligence systems has been made possible by recent leaps in algorithmic design, methods of machine learning, and natural language processing. These factors are driving this trend. Because of their increased precision and reliability, these systems are attracting businesses from a wide variety of sectors. The optimisation of operations brought about by autonomous AI results in cost savings and increased productivity. It has applications in the healthcare industry, as well as the financial sector, the industrial industry, the transportation industry, and the retail sector. The decrease in costs associated with autonomous artificial intelligence, which is driven by automation, further propels the adoption of this technology. The artificial intelligence industry is positioned for expansion, which will stimulate innovation and new opportunities as technology continues to advance and more sectors recognise the benefits it offers.
The amount of available data and its quality are two major factors that are holding back the development of the artificial intelligence sector. The development and implementation of AI solutions are hampered by the limited availability of data, which is particularly problematic in specialised fields or niche sectors. The essential training for artificial intelligence algorithms to make correct predictions and choices cannot be obtained without access to broad and diverse datasets. In addition, the quality of the data is absolutely necessary for the efficiency of AI systems. Imperfect results and unreliable AI models are the result of using data that is inaccurate, partial, or biassed. In order to guarantee the accuracy of the data, it is necessary to perform labour- and resource-intensive procedures such as thorough data cleaning and preprocessing, as well as validation. It can be difficult for organisations to achieve these requirements when they have limited resources, which might slow down the development and deployment of AI solutions. It is vital to encourage data sharing collaborations, invest in data collection and preprocessing skills, and set industry-wide standards for data quality and privacy in order to overcome these concerns. These efforts will increase the amount of data that is available, improve the data's quality, and create an atmosphere that is more favourable to the expansion of the artificial intelligence business.
Report Coverage
Global Artificial Intelligence research report categorizes the market for global based on various segments and regions, forecasts revenue growth, and analyzes trends in each submarket. Global Artificial Intelligence report analyses the key growth drivers, opportunities, and challenges influencing the global market. Recent market developments and Artificial Intelligence competitive strategies such as expansion, product launch and development, partnership, merger, and acquisition have been included to draw the competitive landscape in the market. The report strategically identifies and profiles the key Artificial Intelligence market players and analyses their core competencies in each global market sub-segments.
| REPORT ATTRIBUTES | DETAILS |
|---|---|
| Study Period | 2017-2030 |
| Base Year | 2022 |
| Forecast Period | 2022-2030 |
| Historical Period | 2017-2021 |
| Unit | Value (USD Billion) |
| Key Companies Profiled | Google (US), Microsoft (US), IBM (US), Oracle (US), AWS (US), Intel (US), Salesforce (US), SAP (Germany), Cisco (US), Meta (US), HPE (US), Siemens (Germany), Huawei (China), NVIDIA (US), Baidu (China), SAS Institute (US), OpenAI (US), H2O.ai (US), iFLYTEK (China), Alibaba Cloud (China), General Vision (US), Darktrace (UK), Blackberry Limited (Canada), DiDi Global (China), Face++ (China), Inbenta (US), Anju Software (US), Butterfly Network (US), Atomwise (US), AIBrain (US), SK Hynix (South Korea), Progress (US), PrecisionHawk (US), AgEagle Aerial System (US), Neurala (US), Twitter (US), Aurea Software (US), Persado (US), 8x8 (US), Appier (Taiwan), GumGum (US), IPRO (US), Graphcore (UK), Preferred Networks (Japan), Applied Brain Research (Canada), Pilot AI (US), Iris Automation (US), Gamaya (Switzerland), ec2ce (Spain), Descartes Labs (US), Mythic (US), Ada (Canada), Mostly AI (Austria), Sentient.io (Singapore), Lumen5 (Canada), AI Superior (Germany), Fosfor (India), Intrinsic (US), Jasper (US), Soundful (US), Writesonic (US), One AI (Israel). |
| Segments Covered | • By Product |
| Customization Scope | Free report customization (equivalent to up to 3 analyst working days) with purchase. Addition or alteration to country, regional & segment scope |
Key Points Covered in the Report
- Market Revenue of Artificial Intelligence Market from 2021 to 2030.
- Market Forecast for Artificial Intelligence Market from 2021 to 2030.
- Regional Market Share and Revenue from 2021 to 2030.
- Country Market share within region from 2021 to 2030.
- Key Type and Application Revenue and forecast.
- Company Market Share Analysis, Artificial Intelligence competitive scenario, ranking, and detailed company
profiles. - Market driver, restraints, and detailed COVID-19 impact on Artificial Intelligence
Market
Competitive Environment:
The research provides an accurate study of the major organisations and companies operating in the global Artificial Intelligence market, along with a comparative evaluation based on their product portfolios, corporate summaries, geographic reach, business plans, Artificial Intelligence market shares in specific segments, and SWOT analyses. A detailed analysis of the firms' recent news and developments, such as product development, inventions, joint ventures, partnerships, mergers and acquisitions, strategic alliances, and other activities, is also included in the study. This makes it possible to assess the level of market competition as a whole.
List of Major Market Participants
Google (US), Microsoft (US), IBM (US), Oracle (US), AWS (US), Intel (US), Salesforce (US), SAP (Germany), Cisco (US), Meta (US), HPE (US), Siemens (Germany), Huawei (China), NVIDIA (US), Baidu (China), SAS Institute (US), OpenAI (US), H2O.ai (US), iFLYTEK (China), Alibaba Cloud (China), General Vision (US), Darktrace (UK), Blackberry Limited (Canada), DiDi Global (China), Face++ (China), Inbenta (US), Anju Software (US), Butterfly Network (US), Atomwise (US), AIBrain (US), SK Hynix (South Korea), Progress (US), PrecisionHawk (US), AgEagle Aerial System (US), Neurala (US), Twitter (US), Aurea Software (US), Persado (US), 8x8 (US), Appier (Taiwan), GumGum (US), IPRO (US), Graphcore (UK), Preferred Networks (Japan), Applied Brain Research (Canada), Pilot AI (US), Iris Automation (US), Gamaya (Switzerland), ec2ce (Spain), Descartes Labs (US), Mythic (US), Ada (Canada), Mostly AI (Austria), Sentient.io (Singapore), Lumen5 (Canada), AI Superior (Germany), Fosfor (India), Intrinsic (US), Jasper (US), Soundful (US), Writesonic (US), One AI (Israel).
Primary Target Market
- Market Players of Artificial Intelligence
- Investors
- End-users
- Government Authorities
- Consulting And Research Firm
- Venture capitalists
- Third-party knowledge providers
- Value-Added Resellers (VARs)
Market Segment:
This study forecasts global, regional, and country revenue from 2019 to 2030. INFINITIVE DATA EXPERT has segmented the global Artificial Intelligence market based on the below-mentioned segments:
Global Artificial Intelligence Market, By Solution
Hardware
Software
Services
Global Artificial Intelligence market, By Technology
Deep Learning
Machine Learning
Natural Language Processing (NLP)
Machine Vision
Global Artificial Intelligence Market, By End User
Healthcare
BFSI
Retail
Advertising & Media
Automotive & Transportation
Agriculture
Manufacturing
Others
Global Artificial Intelligence market, Regional Analysis
- Europe: Germany, Uk, France, Italy, Spain, Russia, Rest of Europe
- The Asia Pacific: China,Japan,India,South Korea,Australia,Rest of Asia Pacific
- South America: Brazil, Argentina, Rest of South America
- Middle East & Africa: UAE, Saudi Arabia, Qatar, South Africa, Rest of Middle East & Africa
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