In 2020, the global AI software market is expected to grow approximately 54 percent year-on-year, reaching a forecast size of 22.6 billion U.S. dollars. AI is a term used to describe a variety of technologies referring to the creation of intelligent software or hardware able to learn and solve problems. These include machine learning, computer vision, and natural language processing (NLP), among others. AI is expected to have wide adoption in and implications for every industry vertical and is likely to be one of the next great technological shifts, like the advent of the computer age or the smartphone revolution.
AI Revolution: an increase or decrease in human labor?
Despite its potential to optimize the way many industries operate, AI is feared to replace human labor in some. The automotive and assembly, and telecom industries worldwide are predicted to undergo the biggest workforce cuts in the next three years due to the adoption of AI technologies. However, infrastructure, professional services and high-tech industries are predicted to increase their workforce sizes with the adoption of AI technologies during the same time period. This highlights the somewhat polarizing effects of AI to human jobs. In some industries, the introduction of AI greatly expedites processes and minimizes human error, which leads to the replacement of human labor. While in others, AI creates new hybrid roles where humans enable machines and AI augments human capabilities.
AI’s impacts on global economic
Despite changes in the global workforce, AI is predicted to contribute to global economic growth. A 2018 global survey estimates that AI will contribute to approximately 26.1 percent of China’s GDP in 2030, 14.5 percent of the GDP in North America, and 13.6 percent of UAE’s GDP. Some of these increases in GDP stem from improvements in productivity and product enhancements due to the adoption of AI technologies. For example, AI in the technology, media and telecommunications industry is forecast to increase global GDP in 2030 by 12.5 percent – 5.5 percent from gains associated with productivity, and 7 percent from gains associated with product enhancements.
According to Next Move Strategy Consulting, the global automotive intelligence market is projected to grow between 2019 and 2030. While the market was sized at some 2.5 billion U.S. dollars in 2019, it is expected to reach the size of around 74.5 billion U.S. dollars in 2030.
In 2025, the AI basic data service market size in China was estimated to grow by 16 percent compared to the previous year. Currently, voice, vision and natural language processing segments constituted to much of the AI basic data services.
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The global generative AI market size reached USD 14.6 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 63.1 Billion by 2033, exhibiting a growth rate (CAGR) of 17.49% during 2025-2033. The increasing amount of generated data, the development of advanced machine learning techniques, expanding information technology (IT) sector and the rising product adoption across a wide range of industries are some of the major factors propelling the market.
Report Attribute
|
Key Statistics
|
---|---|
Base Year
| 2024 |
Forecast Years
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2025-2033
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Historical Years
|
2019-2024
|
Market Size in 2024
| USD 14.6 Billion |
Market Forecast in 2033
| USD 63.1 Billion |
Market Growth Rate (2025-2033) |
17.49%
|
IMARC Group provides an analysis of the key trends in each segment of the global generative AI market report, along with forecasts at the global, regional, and country levels from 2025-2033. Our report has categorized the market based on offering type, technology, and application.
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The global cloud AI market size reached USD 77.0 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 1,051.0 Billion by 2033, exhibiting a growth rate (CAGR) of 33.7% during 2025-2033. The global market is majorly driven by continual advancements in machine learning and deep learning technologies, enhanced data security and compliance features, cost-effectiveness and accessibility of AI services, integration with IoT, increasing adoption of AI in business operations, and the rise of edge computing.
Report Attribute
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Key Statistics
|
---|---|
Base Year
|
2024
|
Forecast Years
|
2025-2033
|
Historical Years
|
2019-2024
|
Market Size in 2024
| USD 77.0 Billion |
Market Forecast in 2033
| USD 1,051.0 Billion |
Market Growth Rate 2025-2033 | 33.7% |
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 type, technology, and vertical.
In 2019, IBM held 8.8 percent of the global artificial intelligence (AI) software platforms market. Microsoft claimed the second largest market share with 5.6 percent of the market. The AI software platforms market has grown steadily in the past years, with overall revenue reaching around 3.5 billion U.S. dollar in 2019.
Call Center Artificial Intelligence Market Size 2025-2029
The call center artificial intelligence (AI) market size is forecast to increase by USD 8.47 billion at a CAGR of 36.7% between 2024 and 2029.
In the call center industry, the integration of Artificial Intelligence (AI) is revolutionizing customer engagement solutions. The adoption of cloud-based call centers and machine learning technologies is a key driver for this market growth. Chatbots, a form of conversational AI, are increasingly being used to enhance turnaround times and improve customer experiences in e-commerce and logistics sectors. However, challenges persist in seamlessly integrating front-end and back-end knowledge bases, ensuring data analytics security, and implementing effective data analytics strategies. Natural language processing (NLP) and data analytics are essential components of AI in call centers, enabling CRM systems to provide more personalized services. The implementation of AI in call centers is expected to continue trending, as businesses prioritize enhancing customer experiences and streamlining operations.
What will be the Size of the Call Center Artificial Intelligence (AI) Market During the Forecast Period?
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The market is experiencing significant growth as businesses seek to enhance customer engagement and streamline operations. AI technologies, including chatbots and autonomous virtual agents, are increasingly being adopted to handle customer queries on social media platforms and interactive voice response systems. The services segment is expected to dominate the market due to the growing demand for AI-enabled chatbots and virtual agents. Both on-premises and cloud deployment models are gaining traction, with the cloud deployment segment projected to grow at a faster rate due to its flexibility and scalability. The e-commerce segment is also a key driver of market growth, as AI is used to provide personalized customer experiences and improve logistics.
The IT and telecom, healthcare, and control compliance suite industries are also investing heavily in AI solutions to improve quality assurance technology and offer omnichannel solutions. Unsupervised self-learning algorithms are becoming increasingly important in call center AI, enabling more natural and intuitive interactions with customers. Overall, the market is poised for continued expansion as businesses continue to prioritize customer experience and operational efficiency.
How is this Call Center Artificial Intelligence (AI) Industry segmented and which is the largest segment?
The industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.
End-user
BFSI
Retail and e-commerce
IT and telecom
Media and entertainment
Others
Channel
Phone
Chat
Email or text
Social media
Website
Deployment
On-premises
Cloud
Source
Large enterprises
SMEs
Geography
North America
Canada
Mexico
US
APAC
China
India
Japan
Europe
Germany
UK
South America
Brazil
Middle East and Africa
By End-user Insights
The BFSI segment is estimated to witness significant growth during the forecast period. Call center artificial intelligence (AI) has become increasingly essential for businesses in various sectors, particularly in the BFSI industry, due to its large customer base and the rise of mobile technology. AI technologies, including chatbots, autonomous virtual agents, and AI-powered chatbots, have been adopted by financial institutions to enhance customer engagement and streamline operations. In the competitive financial services market, addressing customer queries promptly and effectively is crucial for customer satisfaction and cost reduction. Failure to do so can lead to missed cross-selling and up-selling opportunities and increased customer attrition.
AI technologies, such as natural language processing (NLP) and machine learning (ML), enable intelligent virtual assistants to handle customer queries and provide personalized solutions. Data analytics skills and cloud computing services are also integral to AI platforms. Security measures, including data ownership, privacy impact assessments, and security protocols, are essential considerations in implementing AI solutions. The solutions segment, which includes AI platforms, services, on-premises, and cloud deployment models, is expected to dominate the market. The e-commerce segment is also expected to witness significant growth due to the increasing use of AI-enabled chatbots and virtual agents for customer service.
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The BFSI segment was valued at USD 326.30 bil
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Military artificial intelligence (ai) & cybernetics market segmented global market by Platform (Land, Naval, Air, Space), Technology (Learning & Intelligence, Artificial Intelligence System) & region.
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Vietnam artificial intelligence market size is projected to exhibit a growth rate (CAGR) of 14.96% during 2025-2033. The increasing digitalization of Vietnamese businesses, rising e-commerce activities, the implementation of favorable governmental policies, growing technology application in the healthcare sector, establishment of smart cities, and the rising collaboration between educational institutions and tech companies represent some of the key factors driving the market.
Report Attribute
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Key Statistics
|
---|---|
Base Year
|
2024
|
Forecast Years
|
2025-2033
|
Historical Years
|
2019-2024
|
Market Growth Rate 2025-2033 | 14.96% |
IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the country level for 2025-2033. Our report has categorized the market based on component, technology, and industry.
Aerospace Artificial Intelligence Market Size 2025-2029
The aerospace artificial intelligence (AI) market size is forecast to increase by USD 7.24 billion at a CAGR of 45.9% between 2024 and 2029.
Artificial Intelligence (AI) is revolutionizing the aerospace industry with its application in various domains, including software for flight simulation and virtual assistants for cockpit interaction. The rising trend of digital transformation in aviation is driving market growth, as AI enables automation in aircraft maintenance, threat detection systems, and additive manufacturing. The increasing use of drones equipped with sensors and data analytics capabilities is another significant trend, offering opportunities for real-time data collection and analysis. However, concerns surrounding data security and privacy are major challenges, necessitating strong cybersecurity measures. Machine learning algorithms, image recognition, and natural language processing are key technologies enabling AI in the aerospace sector, enhancing travel experiences and optimizing operational efficiency. The adoption of AI is set to continue, with the market expected to grow significantly in the coming years.
What will be the Size of the Aerospace Artificial Intelligence (AI) Market During the Forecast Period?
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The market encompasses the application of AI models, including machine learning, computer vision, and natural language processing, to enhance various aspects of the aerospace sector. AI technologies are increasingly being integrated into flight operations for predictive maintenance, optimization of fuel consumption, and improving pilot training through computer vision and voice recognition. In customer service, virtual assistants and voice recognition systems facilitate efficient communication between airlines and passengers.
Air traffic control benefits from AI's ability to analyze big data and identify data patterns for improved safety and efficiency. AI is also employed for observation tasks, such as analyzing time series data for anomaly detection and predictive maintenance in aircraft components. The aerospace AI market is poised for significant growth, as human intelligence is augmented by AI software to address complex challenges and optimize processes.
How is this Aerospace Artificial Intelligence (AI) Industry segmented and which is the largest segment?
The aerospace artificial intelligence (AI) industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.
Component
Software
Hardware
Services
End-user
Defense and military
Commercial aviation
Aircraft manufacturers
Space exploration
Airports
Application
Machine learning
Natural language processing
Computer vision
Context awareness computing
Geography
North America
Canada
US
Europe
Germany
UK
France
Italy
APAC
China
India
Japan
South Korea
Middle East and Africa
South America
By Component Insights
The software segment is estimated to witness significant growth during the forecast period.
Aerospace Artificial Intelligence (AI) software plays a crucial role in the development and operation of autonomous systems for UAVs, drones, and spacecraft. AI algorithms, including machine learning, computer vision, and neural networks, enable navigation, obstacle detection, and real-time decision-making. For instance, Airbus SE's Air Superiority Tactical Assistance Real-Time Execution System (ASTares) digitizes human-level experience to support tactical coordination in the Future Combat Air System (FCAS). In the aerospace sector, AI software optimizes flight control systems by analyzing data from sensors and adjusting flight parameters in real-time. This leads to improved fuel efficiency, reduced emissions, and enhanced safety. AI models are also integrated into customer service applications, such as virtual assistants and chatbots, to streamline airline industry processes and improve customer satisfaction.
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The software segment was valued at USD 141.10 million in 2019 and showed a gradual increase during the forecast period.
Regional Analysis
North America is estimated to contribute 35% 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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The aerospace industry is embracing Artificial Intelligence (AI) to enhance operational efficiency and automate processes in North America. Machine le
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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).
Report Attribute
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Key Statistics
|
---|---|
Base Year
| 2024 |
Forecast Years
|
2025-2033
|
Historical Years
|
2019-2024
|
Market Size in 2024 | USD 115.62 Billion |
Market Forecast in 2033 | USD 854.51 Billion |
Market Growth Rate 2025-2033 | 23.64% |
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.
Artificial intelligence (AI) in the Asia Pacific region's energy market is projected to experience a compound annual growth rate (CAGR) of 25.6 percent from 2019 to 2024. The global AI in energy market is expected to reach 7.78 billion U.S. dollars by 2024.
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The global explainable AI market size reached USD 7.3 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 27.6 Billion by 2033, exhibiting a growth rate (CAGR) of 15.85% during 2025-2033. The rising demand for transparency in AI decisions by businesses to adopt solutions that provide clear explanations is stimulating the market growth.
Report Attribute
|
Key Statistics
|
---|---|
Base Year
| 2024 |
Forecast Years
|
2025-2033
|
Historical Years
|
2019-2024
|
Market Size in 2024 | USD 7.3 Billion |
Market Forecast in 2033 | USD 27.6 Billion |
Market Growth Rate 2025-2033 |
15.85%
|
IMARC Group provides an analysis of the key trends in each segment of the market, along with the explainable AI market forecast at the global, regional, and country levels for 2025-2033. Our report has categorized the market based on component, deployment, application, and end use.
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The Europe artificial intelligence market size reached USD 28.6 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 202.0 Billion by 2033, exhibiting a growth rate (CAGR) of 24.3% during 2025-2033.
Report Attribute
|
Key Statistics
|
---|---|
Base Year
| 2024 |
Forecast Years
|
2025-2033
|
Historical Years
|
2019-2024
|
Market Size in 2024 | USD 28.6 Billion |
Market Forecast in 2033 | USD 202.0 Billion |
Market Growth Rate (2025-2033) | 24.3% |
IMARC Group provides an analysis of the key trends in each segment of the Europe artificial intelligence market report, along with forecasts at the regional and country levels from 2025-2033. Our report has categorized the market based on type, offering, technology, system and end-use industry.
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Artificial intelligence market for automotive and transportation industry segmented global market by Vehicle Type (Passenger Vehicles, Light Commercial Vehicles), by application & region
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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.
Report Attribute
|
Key Statistics
|
---|---|
Base Year
|
2024
|
Forecast Years
|
2025-2033
|
Historical Years
|
2019-2024
|
Market Size in 2024
| USD 15.3 Billion |
Market Forecast in 2033
| USD 269.4 Billion |
Market Growth Rate (2025-2033) | 33.2% |
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.
The market for artificial intelligence grew beyond 184 billion U.S. dollars in 2024, a considerable jump of nearly 50 billion compared to 2023. This staggering growth is expected to continue with the market racing past 826 billion U.S. dollars in 2030. AI demands data Data management remains the most difficult task of AI-related infrastructure. This challenge takes many forms for AI companies. Some require more specific data, while others have difficulty maintaining and organizing the data their enterprise already possesses. Large international bodies like the EU, the US, and China all have limitations on how much data can be stored outside their borders. Together these bodies pose significant challenges to data-hungry AI companies. AI could boost productivity growth Both in productivity and labor changes, the U.S. is likely to be heavily impacted by the adoption of AI. This impact need not be purely negative. Labor rotation, if handled correctly, can swiftly move workers to more productive and value-added industries rather than simple manual labor ones. In turn, these industry shifts will lead to a more productive economy. Indeed, AI could boost U.S. labor productivity growth over a 10-year period. This, of course, depends on a variety of factors, such as how powerful the next generation of AI is, the difficulty of tasks it will be able to perform, and the number of workers displaced.
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The global Artificial Intelligence In IVD market size was valued at USD 0.42 billion in 2019 and is projected to grow at a CAGR of 22.35% during the forecast period 2019-2023. The market is driven by factors such as the increasing demand for personalized medicine, the growing adoption of AI-powered medical devices, and the rising need for cost-effective healthcare solutions. Key trends shaping the market include the increasing use of AI in image analysis, the development of new AI algorithms for disease diagnosis, and the growing adoption of AI-powered IVD devices in emerging markets. The market is segmented based on application, technology, end-user, and region. The oncology segment is expected to dominate the market over the forecast period, owing to the increasing prevalence of cancer and the growing demand for personalized treatment options. The machine learning segment is expected to account for the largest share of the market, owing to its ability to handle large datasets and its accuracy in disease diagnosis. The hospitals and clinics segment is expected to dominate the market, owing to the increasing adoption of AI-powered IVD devices in these settings. The North America region is expected to account for the largest share of the market, owing to the presence of a large number of leading AI developers and the early adoption of AI-powered IVD devices. The global Artificial Intelligence (AI) in IVD market size was valued at USD 11.4 Billion in 2023 and is projected to reach USD 41.2 Billion by 2033, growing at a CAGR of 14.8% from 2023 to 2033. Recent developments include: November 2023: Deep Bio, an AI healthcare company focusing on deep learning and cancer pathology, participated in the CancerX initiative, a public-private partnership unveiled as part of the White House Cancer Moonshot program. This strategic partnership achieves milestones to transform the landscape of cancer diagnosis and prognosis using AI expertise., November 2023: China-based companies XtalPi and CK Life Sciences signed a partnership agreement to develop miRNA-based postoperative molecular diagnostic models for prognostic risk prediction. The companies will leverage XtalPi's advanced artificial intelligence (AI) algorithms to analyze anonymized clinical and biomarker data from cancer patients and healthy individuals within CK’s repository.. Key drivers for this market are: Growing Demand for Early Disease Detection, Advancements in AI Technology; Rising Burden of Chronic and Infectious Diseases. Potential restraints include: Growing Demand for Early Disease Detection, Advancements in AI Technology; Rising Burden of Chronic and Infectious Diseases. Notable trends are: The Cardiology Segment is Expected to Hold a Significant Share in the Market During the Forecast Period..
In 2019, the market size of Artificial Intelligence technology platforms in China amounted to over 10 billion yuan. According to the forecast, the AI technology platform market was expected to grow significantly and reach almost 58 billion yuan by 2024. AI platforms provide the basic technology platform for AI companies to run their business more efficiently and cost-effectively.
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The AI analytics market is projected to register an exceptional CAGR of 22.60% during the forecast period, valued at US$ 29.11 billion in 2024, and is estimated to reach US$ 223.32 billion by 2034. The market is evolving due to the demand for analytics solutions helmed by technological improvements such as rapid speech and natural language processing.
Attributes | Details |
---|---|
Market Value for 2024 | US$ 29.11 billion |
Market Value for 2034 | US$ 223.32 billion |
Market Forecast CAGR for 2024 to 2034 | 22.60% |
Historical Performance and Future Growth Prognosis of the AI Analytics Market
Attributes | Details |
---|---|
Market Historical CAGR for 2019 to 2023 | 21.80% |
Category-wise Insights
Attributes | Details |
---|---|
Top Analytics Type | Predictive Analytics |
Market Share in 2024 | 49% |
Attributes | Details |
---|---|
Top Enterprise Size | Large Enterprises (500 to 999 employees) |
Market Share in 2024 | 36.6% |
Country-wise Insights
Countries | CAGR from 2024 to 2034 |
---|---|
United States | 19.50% |
Germany | 8.10% |
China | 23.10% |
Japan | 6.40% |
Australia and New Zealand | 26.10% |
In 2020, the global AI software market is expected to grow approximately 54 percent year-on-year, reaching a forecast size of 22.6 billion U.S. dollars. AI is a term used to describe a variety of technologies referring to the creation of intelligent software or hardware able to learn and solve problems. These include machine learning, computer vision, and natural language processing (NLP), among others. AI is expected to have wide adoption in and implications for every industry vertical and is likely to be one of the next great technological shifts, like the advent of the computer age or the smartphone revolution.
AI Revolution: an increase or decrease in human labor?
Despite its potential to optimize the way many industries operate, AI is feared to replace human labor in some. The automotive and assembly, and telecom industries worldwide are predicted to undergo the biggest workforce cuts in the next three years due to the adoption of AI technologies. However, infrastructure, professional services and high-tech industries are predicted to increase their workforce sizes with the adoption of AI technologies during the same time period. This highlights the somewhat polarizing effects of AI to human jobs. In some industries, the introduction of AI greatly expedites processes and minimizes human error, which leads to the replacement of human labor. While in others, AI creates new hybrid roles where humans enable machines and AI augments human capabilities.
AI’s impacts on global economic
Despite changes in the global workforce, AI is predicted to contribute to global economic growth. A 2018 global survey estimates that AI will contribute to approximately 26.1 percent of China’s GDP in 2030, 14.5 percent of the GDP in North America, and 13.6 percent of UAE’s GDP. Some of these increases in GDP stem from improvements in productivity and product enhancements due to the adoption of AI technologies. For example, AI in the technology, media and telecommunications industry is forecast to increase global GDP in 2030 by 12.5 percent – 5.5 percent from gains associated with productivity, and 7 percent from gains associated with product enhancements.