PUBLISHER: KBV Research | PRODUCT CODE: 1493677
PUBLISHER: KBV Research | PRODUCT CODE: 1493677
The Global AI and Machine Learning in Business Market size is expected to reach $1198.4 billion by 2031, rising at a market growth of 30.9% CAGR during the forecast period.
Algorithms utilizing AI and ML can detect and simultaneously respond to cybersecurity threats by analyzing network traffic patterns. These technologies can help IT and telecom companies protect their networks, data, and systems from cyber-attacks. Hence, the IT & telecom segment captured 1/4th revenue share in the market in 2023. In the telecom sector, AI and machine learning implement network slicing, allowing operators to create virtualized networks tailored to specific use cases or customer requirements. This facilitates enhanced utilization of network resources and improved assistance for a wide range of applications and services.
The major strategies followed by the market participants are Partnerships as the key developmental strategy to keep pace with the changing demands of end users. For instance, In September, 2023, NVIDIA Corporation partnered with Reliance Industries Limited. The partnership is being done to boost India's artificial intelligence and semiconductor chip ambitions. Additionally, In November, 2023, Google LLC is collaborating with Symphony Limited, to ramp up its voice analytics offering to banks and investment firms. This collaboration will enhance the portfolio of the company.
Based on the Analysis presented in the KBV Cardinal matrix; Microsoft Corporation and Google LLC are the forerunners in the AI and Machine Learning in Business Market. In April, 2024, Microsoft Corporation collaborated with Abu Dhabi Bank (FAB), to develop new AI-based banking capabilities. Companies such as NVIDIA Corporation, Amazon.com, Inc., IBM Corporation are some of the key innovators in the Market.
Market Growth Factors
The rise of AI-enabled tools and platforms is significantly transforming the landscape of business operations, offering companies unprecedented opportunities to leverage AI without the need for extensive technical knowledge. By democratizing AI, these platforms and tools enable organizations of any size and in any industry to create and implement AI solutions that enhance customer experiences, drive innovation, and increase efficiency. Thus, the progression of these tools and platforms will support the growth of the market throughout the forecast period.
AI and machine learning technologies are experiencing widespread adoption across many industries, including healthcare, finance, retail, and manufacturing. This increasing adoption is fueled by the recognition of AI's transformative potential in optimizing operations, enhancing customer experiences, and driving innovation across diverse sectors. Similarly, in finance, AI and machine learning enhance fraud detection, risk management, and customer service. Therefore, the increasing adoption of AI and machine learning across industries is driving market growth and transforming businesses' operations.
Market Restraining Factors
The shortage of skilled professionals in artificial intelligence (AI) and machine learning (ML) presents a significant challenge for businesses looking to leverage these technologies. The rapid advancement of AI and ML has created a demand for specialized talent that is far exceeding the current supply. As a result, recruiting and retaining skilled professionals in this field can be extremely challenging for organizations, particularly smaller businesses with limited resources. Thus, the dire lack of skilled professionals may significantly hamper the market's growth.
Component Outlook
Based on component, the market is bifurcated into solution and services. The services segment procured 42% revenue share in the market in 2023. AI and ML services often include consulting and advisory services to help businesses identify opportunities for AI implementation, develop a strategy, and navigate the complexities of AI adoption. These services can also involve developing and integrating AI solutions into existing systems. This can include building custom AI models, integrating third-party AI tools, and ensuring compatibility with existing infrastructure.
Enterprise Size Outlook
On the basis of enterprise size, the market is classified into large enterprises and small & middle-sized enterprises. The small & middle-sized enterprises segment recorded 42% revenue share in the market in 2023. Tools utilizing AI and machine learning are becoming more accessible and affordable to SMBs. Cloud computing and software-as-a-service (SaaS) models allow SMEs to access AI and machine learning tools without significant upfront investment in hardware or software. SMEs often have limited resources and need to be as efficient as possible.
Application Outlook
By application, the market is divided into predictive analytics, cyber security, supply chain & inventory management, data analytics, and others. The supply chain & inventory management segment garnered 15% revenue share in the market in 2023. The integration of AI and machine learning with Internet of Things (IoT) devices and other technologies is becoming more prevalent in order to augment supply chain and inventory management.
Industry Vertical Outlook
Based on industry vertical, the market is segmented into BFSI, IT & telecom, retail, manufacturing & logistics, energy sector & utilities, healthcare, and others. The retail segment garnered 15% revenue share in the Market in 2023. By analyzing in-store data such as customer behavior and foot traffic patterns, AI and machine learning can optimize store layouts and enhance the shopping experience. Moreover, AI and machine learning algorithms can analyze customer data to provide personalized product recommendations.
Regional Outlook
Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The North America segment recorded 39% revenue share in the market in 2023. Leading technology companies, as well as academic institutions, are located in North America, which drives innovation in AI and machine learning. These advancements fuel the adoption of AI and machine learning technologies across various regional industries.
Competition in the AI and machine learning business market is fierce, driven by tech giants like Google, Microsoft, IBM, and Amazon Web Services, alongside agile startups and niche solution providers. Consulting firms and system integrators also play a significant role, offering expertise in implementation and integration. With increasing demand for data-driven insights and automation, companies compete through innovation, customization, and strategic partnerships. Success hinges on differentiation, delivering value, and staying adaptable in an evolving landscape.
Recent Strategies Deployed in the Market
List of Key Companies Profiled
Global AI and Machine Learning in Business Market Report Segmentation
By Component
By Enterprise Size
By Industry Vertical
By Application
By Geography