Enterprise AI Market Analysis North America, Europe, APAC, Middle East and Africa, South America - US, Canada, China, Germany, UK - Size and Forecast 2024-2028

Enterprise Artificial Intelligence (AI) Market Forecast 2024-2028

The Enterprise Artificial Intelligence (AI) Market size is projected to increase by USD 48.96 billion, at a CAGR of 46.52% between 2023 and 2028. The market is witnessing accelerated growth driven by the surging interest in chatbot AI solutions, catering to diverse industry needs. Enterprises are increasingly adopting automation to streamline operations, boost efficiency, and enhance customer experiences. With a focus on intelligent business models, organizations are leveraging AI technologies to gain competitive advantages in the market landscape. This market evolution reflects the growing recognition of AI's transformative potential across various sectors, propelling the adoption of advanced AI solutions for enterprise-level applications.

What will be the Size of the Market During the Forecast Period?

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The market is experiencing significant growth driven by strategic investments and advancements in cutting-edge technologies. With the rise of Industrial Internet of Things (IIoT), autonomous mobility, and integrated systems, enterprises are embracing AI to enhance operational efficiency and drive digital transformation. Pittsburgh-based startups and organizations worldwide are leveraging AI for advanced manufacturing, predictive analytics, and AI governance. Additionally, the adoption of private 5G networks, cloud, and edge computing is further fueling the growth of the market, empowering businesses to harness the power of AI for competitive advantage and innovation.

Market Dynamics and Customer Landscape

The market is transforming business processes and driving digitalization across industries. Companies are leveraging AI adoption to enhance profitability and achieve better business outcomes. With advanced manufacturing and cutting-edge robotics, enterprises optimize production processes and improve operating efficiency. Strategic investments in AI governance and predictive analytics solutions enable businesses to streamline process flows and reduce operating costs. Private 5G networks support seamless connectivity for IIOT devices, while cloud and edge computing facilitate big-data 'AI' analytics. SwissSEM and Pittsburgh-based startups lead innovation in digital manufacturing, integrating autonomous mobility and enterprise software applications for enhanced business performance.

Key Market Driver

Rising demand for automation among enterprises is the key factor driving market growth. Businesses are increasingly recognizing the transformative potential of artificial intelligence in automating routine tasks, streamlining processes, and augmenting overall operational efficiency. In addition, as enterprises seek to optimize their workflows and reduce manual interventions, AI technologies play a pivotal role. Automation not only accelerates processes but also minimizes errors, leading to improved productivity and cost-effectiveness. 

Moreover, the versatility of AI solutions in addressing varied business needs further propels the growth of the global enterprise artificial intelligence (AI) market. The ongoing digital transformation journey of enterprises, where automation is a key enabler, further underscores the significance of AI technologies in shaping the future landscape of business operations. The demand for automation is expected to increase, which will drive market growth during the forecast period.

Significant Market Trends

Increasing focus on AI-ready solutions is the primary trend shaping market growth. Several businesses across the globe are using AI-ready solutions to incorporate AI into business strategies. Enterprises can plug AI-ready tools into any element of their business workflow that involves data. Leveraging tools, such as sentiment analysis, classification, and prediction algorithms, allows several businesses to derive useful insights from large amounts of data.

Additionally, aligned with market trends and analysis, SMEs can use third-party AI-ready tools with easy-to-use interfaces and efficient machine-learning functionality to manage their data workflow. Workflow automation coupled with business intelligence through AI tools will save businesses time and money while enabling them to stay competitive in the data-driven economy. This, in turn, will drive market growth during the forecast period.

Major Market Restrain

The complexity of understanding data is a challenge that affects market growth. The current AI technologies, which include IBM Watson, find it difficult to process information as humans do. This is because most of the information is processed as data and not as a language. Contextual issues arise because AI processes the information as spatial text. Natural language needs to be processed in the right context. Context can only be developed when the language is understood and not only by reading words. The final issue is that of understandability.

Also, AI technologies need to process the data and reach the right understanding to make decisions. Without any understanding capability, AI technology will not be able to resolve complex issues. Furthermore, AI strategies do not understand the needs of data. This is a major challenge for enterprise AI as several AI tools need to analyze huge volumes of information that are processed continuously. Issues related to language, context, and reasoning need to be overcome by enterprise AI. This, in turn, will impede the growth of the market during the forecast period.

Customer Landscape

The market forecasting report includes the adoption lifecycle of the market research and growth, covering from the innovator’s stage to the laggard’s stage. It focuses on adoption rates in different regions based on penetration. Furthermore, the report also includes key purchase criteria and drivers of price sensitivity to help companies evaluate and develop their market growth and trends strategies.

Global Market Customer Landscape

Market Segmentation

In the deployment segment of the market, businesses leverage AI technologies to streamline various aspects of their operations. Through digitalization and integration with enterprise software applications, AI enhances business processes and process flows, optimizing efficiency and reducing operating costs. Organizations strategically invest in cutting-edge robotics and integrated systems to automate production processes, leading to improved profitability and operating efficiency. Critical manufacturing sectors like SwissSEM benefit from AI's ability to analyze data and optimize processes, resulting in enhanced business outcomes and cost savings. Overall, AI deployment fosters a digital manufacturing environment, driving strategic investments and yielding tangible benefits across industries.

By Deployment

The market share growth by the on-premises segment will be significant during the forecast period. In the on-premises deployment model, AI infrastructure is installed within the customer's premises. One of the major drivers for the growth of the segment is the increasing need for security. Buyers want to have complete control over hardware and software. Thus, they prefer on-premises AI infrastructure over cloud-based AI infrastructure. Many major clients across the world require AI infrastructure to be installed on-premises. This increases the security level of the data that is being processed. Several firms are adopting on-premises AI. 

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The on-premises segment showed a gradual increase in the market share of USD 900 million in 2018. Firms that increase their initial investments in AI enterprise infrastructure will most likely invest in storage devices that can support large amounts of information. Several firms are expected to invest large amounts in hardware and software required for enterprise AI. However, the major drawback of on-premises AI infrastructure is the upfront capital expenditure required for installation. This discourages customers from adopting on-premises AI infrastructure. This is expected to have a negative impact on the growth of the on-premises segment of the global market during the forecast period.

Regional Overview

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North America is estimated to contribute 37% to the growth of the global market during the forecast period. 
Technavio's analysts have provided extensive insight into the market forecast, detailing the regional trends and drivers influencing the market's trajectory throughout the forecast period. North America dominates the global market, driven by widespread AI adoption by companies like IBM, Intel, and Microsoft. Collaborative efforts in AI system development are notable, with the BFSI sector, including Wells Fargo and Bank of America, integrating AI for operational enhancement. The US government emphasizes AI's positive impact on education, healthcare, policing, and transportation. IBM's acquisition of Sentaca in 2022 and the region's booming e-commerce market further propelled market growth, enabling personalized campaigns and revenue growth for businesses during the forecast period. 

Who are the Major Market Companies?

Companies are implementing various strategies, such as strategic alliances, partnerships, mergers and acquisitions, geographical expansion, and product/service launches, to enhance their presence in the market.

• Abacus.AI: The company offers Enterprise-AI which enterprises make use of artificial intelligence AI by empowering developers to build custom models from data sets. They also use LLM Ops and ML Ops.
• Alphabet Inc.: The company offers Enterprise-AI through Google Cloud services, along with AI and machine learning solutions that can leverage the built-in AI power for various infrastructures.
• C3.ai Inc.: The company offers Enterprise-AI such as the C3 AI Platform that provides comprehensive service enterprise-scales to build enterprise-scale AI applications more efficiently and cost-effectively than alternative approaches.

The market  growth and forecasting report also includes detailed analyses of the competitive landscape of the market and information about 20 market companies, including:

• Alteryx Inc.
• Databricks Inc.
• Dataiku Inc.
• DataRobot Inc.
• H2O.ai Inc.
• Hewlett Packard Enterprise Co.
• Hypersonix Inc.
• Intel Corp.
• International Business Machines Corp.
• Microsoft Corp.
• Oracle Corp.
• Salesforce Inc.
• SAP SE
• SAS Institute Inc.
• Sentient.io
• Snowflake Inc.
• Wipro Ltd.

The market analysis and report of qualitative and quantitative analysis of companies has been conducted to help clients understand the wider business environment as well as the strengths and weaknesses of key market players. Data is qualitatively analyzed to categorize companies as pure play, category-focused, industry-focused, and diversified; it is quantitatively analyzed to categorize companies as dominant, leading, strong, tentative, and weak.

Market Analyst Overview

The market is experiencing a paradigm shift amid the Fourth Industrial Revolution, characterized by the convergence of physical and advanced digital technologies like AI, IoT, and robotics. Enterprises employ autonomous mobility and enterprise software applications to streamline business processes and enhance efficiency. Cost reduction and improved business outcomes are achieved through continuous process improvement facilitated by analytics and AI-driven insights. Industrial automation, driven by intelligent robots and automated technologies, revolutionizes manufacturing processes across various industries. Amidst the technological revolution, a strategic investment in a cutting-edge Enterprise software application and an advanced Predictive analytics solution is driving unprecedented efficiencies across industries, heralding a new era of innovation and growth.

Investments in advanced manufacturing, such as edge computing and digital manufacturing, optimize operating efficiency and quality. Moreover, the integration of speech analytics and AI governance ensures compliance and governance standards are met. Cloud and edge computing solutions offer scalability and information management, while private 5G networks enhance connectivity and data transmission. As the market embraces digital transformation, strategic investments in cutting-edge robotics and AI from Pittsburgh-based startups and industry leaders like Bank of America drive innovation and shape the future of industrial enzyme applications.

In today's global landscape, the market stands at the forefront of innovation and transformation. With the advent of digitalization, companies are reimagining their production processes and optimizing process flows to enhance profitability. Critical manufacturing sectors are leveraging IIOT solutions to streamline operations, while strategic investments in enterprise software applications facilitate seamless integration across integrated systems. The implementation of SwissSEM technologies enables precise and efficient manufacturing processes, further bolstering operating costs. Moreover, the integration of Big-data 'AI' analytics and predictive analytics solutions empowers businesses to harness valuable insights for strategic decision-making. Embracing the public cloud, organizations unlock unprecedented scalability and agility, propelling them towards success in the ever-evolving landscape of enterprise AI.

Segment Overview

The market research report forecasts market growth by revenue at global, regional & country levels and provides an analysis of the latest trends and growth opportunities from 2018-2028

• Deployment Outlook
  • On-premises
  • Cloud

• End-user Outlook
  • Advertising, and media and entertainment
  • Retail and e-commerce
  • Medical and life sciences
  • BFSI
  • Government and defense and others

• Region Outlook
  • North America
    • The U.S.
    • Canada
  • Europe
    • The U.K.
    • Germany
    • France
    • Rest of Europe
  • APAC
    • China
    • India
  • South America
    • Chile
    • Brazil
    • Argentina
  • Middle East & Africa
    • Saudi Arabia
    • South Africa
    • Rest of the Middle East & Africa

Market Scope
Report Coverage	Details
Page number	182
Base year	2023
Historic period	2018-2022
Forecast period	2024-2028
Growth momentum & CAGR	Accelerate at a CAGR of 46.52%
Market Growth 2024-2028	USD 48.96 billion
Market structure	Fragmented
YoY growth 2023-2024(%)	42.8
Regional analysis	North America, Europe, APAC, Middle East and Africa, and South America
Performing market contribution	North America at 37%
Key countries	US, Canada, China, Germany, and UK
Competitive landscape	Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks
Key companies profiled	Abacus.AI, Alphabet Inc., Alteryx Inc., C3.ai Inc., Databricks Inc., Dataiku Inc., DataRobot Inc., H2O.ai Inc., Hewlett Packard Enterprise Co., Hypersonix Inc., Intel Corp., International Business Machines Corp., Microsoft Corp., Oracle Corp., Salesforce Inc., SAP SE, SAS Institute Inc., Sentient.io, Snowflake Inc., and Wipro Ltd.
Market dynamics	Parent market analysis, Market growth inducers and obstacles, Fast-growing and slow-growing segment analysis, COVID-19 impact and recovery analysis and future consumer dynamics, and Market condition analysis for forecast period.
Customization purview	If our report has not included the data that you are looking for, you can reach out to our analysts and get segments customized.

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What are the Key Data Covered in this Market Research Report?

• CAGR of the market report forecast during the forecast period
• Detailed information on factors that will drive the growth of the market  between 2024 and 2028
• Precise estimation of the market size and its contribution of the market in focus to the parent market
• Accurate predictions about upcoming trends and changes in consumer behavior
• Market growth analysis across North America, Europe, APAC, Middle East and Africa, and South America
• Thorough market analysis and report of the market’s competitive landscape and detailed information about companies
• Comprehensive analysis of factors that will challenge the growth of Industry companies

 

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