USD 6.91 billion
Report ID: SQSG45D2018 | Region: Global | Published Date: December, 2022 | Pages: 157 | Tables: 122 | Figures: 77
Machine Learning Market size was valued at USD 6.91 billion in 2021 and is poised to grow from USD 9.95 billion in 2022 to USD 183.21 billion by 2030, growing at a CAGR of 44.1% in the forecast period (2023-2030).
With the use of machine learning (ML), which is a form of artificial intelligence (AI), software programs may anticipate outcomes more accurately without having to be explicitly instructed to do so. In order to forecast new output values, machine learning algorithms use past data as input. The global machine learning market is expected to observe a boost as machine learning will become a significant trend in security analytics as businesses use more sophisticated security frameworks. Cyber specialists struggle greatly to detect and analyze prospective cyber threats and attacks since there is so much data being produced and transmitted across many networks.
As cyber risks become more pervasive and sophisticated, with supply chain attacks increasing by 42% in the first quarter of 2021 in the US, affecting up to 7,000,000 individuals, machine-learning algorithms can help enterprises and security teams anticipate, detect, and recognize cyber-attacks more swiftly. For example, the promise of 5G wireless networking and edge computing for the digital revolution will be demonstrated, according to AT&T and IBM. Together, they have developed virtual environments that let business clients really feel the potential of AT&T connection when combined with IBM hybrid cloud and AI technologies. Businesses from all sectors, including the public sector, manufacturing, and financial services, can benefit from this collaboration to innovate quickly and securely and address issues plaguing several sectors at the moment, such as supply chain disruptions, cyber threats, ransomware, and the demand for frictionless services in the 5G era. This is expected to boost the global machine learning market during the forecast period.
US Machine Learning Market is poised to grow at a sustainable CAGR for the next forecast year.
Global Market Size
USD 6.91 billion
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Global machine learning market is segmented based on the component, enterprise size, deployment, end-user, and region. Based on the component, the global machine learning market is segmented into solutions, and services. Based on enterprise size, the market is segmented into SMEs and large enterprises. Based on deployment, the global machine learning market is segmented into cloud and on-premise. Based on end-users, the global machine learning market is segmented as healthcare, retail, IT and telecommunications, banking, financial services and insurance (BFSI), automotive & transportation, advertising & media, manufacturing, and others (energy & utilities, etc.). Based on region, it is categorized into North America, Europe, Asia-Pacific, Latin America, and MEA.
Machine Learning Market Analysis by Component
The solutions segment had the significant share in the global machine learning market in 2021 and is predicted to continue to rule in the years to come. These solutions aid academics and data scientists in hastening the implementation of ML and AI. In the upcoming years, market trends are predicted to increase in favor of machine learning as a service. For example, the world's first graduate-level research institution devoted to artificial intelligence (AI), Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), has made preparations for a strategic partnership with IBM. A Memorandum of Understanding was signed by senior executives from the two institutions with the goal of improving fundamental AI research and speeding up the kinds of scientific discoveries that might enable AI to be used to assist address some of humanity's most pressing problems.
Following this, the service segment is also expected to observe significant growth in the global machine learning market owing to the rapid adoption of machine learning and AI in the business sector. For example, as IBM embarks on one of the largest corporate transformation initiatives in the world based on SAP ERP software, intended to spur the company's development and improve client service, IBM and SAP announced the next milestone in their long-standing cooperation.
Machine Learning Market Analysis by Enterprise size
In 2021, big businesses held the greatest share in the global machine learning market. This is due to the increasing use of artificial intelligence and data science technologies to integrate quantitative insights into business processes. For example, Pitney Bowes and IBM have a deal that will see IBM provide managed infrastructure, IT automation, and machine learning services to enable Pitney Bowes to transform and adopt hybrid cloud computing to support its worldwide business plan and objectives.
It is predicted that small and midsized businesses would increase significantly over the forecasted timeframe. The primary technologies enabling SMEs to lower ICT investments and access digital resources are anticipated to be AI and ML. For example, many businesses, governments, academic institutions, and small- and medium-sized enterprises (SMEs) all around the world, including the IPwe Platform, IPwe Registry, and Global Patent Marketplace, are already utilizing IPwe's technology, the company claims. Because IP may be used as collateral or as a guarantee of an organization's worth, portraying patents as digital assets is particularly effective for SMEs because it makes it easier to employ IP as a funding tool. With increased search made possible by IBM AI, the IPwe Register compiles current, active, and historical patent records in a single, publicly available registry.
Machine Learning Market Analysis by Deployment
Cloud installations had the biggest market share for machine learning in 2021. A few of the main benefits that have led to the adoption of cloud-based delivery models for deep learning software solutions and services are flexibility, automated software upgrades, disaster management via cloud-based backup systems, and increased efficiency.
For example, IBM and the All-England Lawn Tennis Club introduce new digital experiences for Wimbledon fans across the globe, utilizing artificial intelligence (AI) operating on IBM Cloud and hybrid cloud technologies. The new features, which were jointly developed by the All-England Club and IBM for Wimbledon.com and the Wimbledon app, add to an extensive collection of online fan experiences, including the acclaimed IBM Power Index with Watson, IBM Match Insights with Watson, Personalised Recommendations, and Highlights Reels, all aimed at enhancing global audiences' knowledge of and interest in players, matches, and the competition.
Machine Learning Market Analysis by End User
In 2021, the healthcare segment held the largest share in the global machine learning market. This is owing to the rapid research and development by the prominent market players in the industry and collaborations taking place in order to obtain a larger market share. For example, according to a definitive agreement that the two companies have signed, Francisco Partners will purchase healthcare data and analytics assets from IBM that are currently a part of the Watson Health business. Francisco Partners is a well-known international investment firm that specializes in working with technology companies. Numerous and varied data sets and solutions, such as Health Insights, MarketScan, Clinical Development, Social Program Management, Micromedex, and imaging software services, are among the assets purchased by Francisco Partners.
Following this, Machine intelligence technology is used by banks and other financial institutions to stop fraud and find significant data insights. E-commerce has established itself as a significant force behind retail trade business methods. Retailers rely on artificial intelligence to gather data, evaluate it, and use it to provide customers with tailored shopping experiences. For example, aiming to increase access to financial services across the continent, IBM said that financial institutions throughout Africa have chosen hybrid cloud and AI capabilities from IBM to foster digital innovation and continue developing digital-first solutions.
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In 2021, North America held the largest share in the global machine learning market. The market growth in the region is attributed to the presence of significant R&D investors like IBM Corporation, Amazon.com, and Oracle Corporation. Additionally, significant expenditures and the availability of a well-established IT infrastructure are anticipated to fuel market expansion in North America. For instance, the United States Defense Advanced Research Projects Agency (DARPA) committed USD 2 billion to the advancement of AI technology.
For example, to improve the Department of Defense's (DoD) microelectronics supply chain for crucial mission platforms, IBM announced a new 33-month work order under its contract with the Defense Microelectronics Activity (DMEA). IBM Consulting will keep establishing secure microelectronics production processes at commercial state-of-the-art fabrication facilities as part of the Trusted Foundry Access II program.
Following this, Europe is expected to have considerable share in the global machine learning market. This is due to the increased adoption of ML technology in developing nations like the United Kingdom and Germany which have significant populations of skilled people. Greater customer access to AI-enabled services and products is having an impact on the regional market. For example, businesses have been increasingly turning to integrated digital networks for the 360-degree visibility and multi-tier cooperation made possible only by cloud-based apps, and SAP SE is working to build resilience across their operations and those of their trade partners. However, visibility and teamwork are far from the only benefits provided by corporate networks.
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Machine Learning Market Driver
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The Global Machine learning market is relatively fragmented, with a high level of competition. The prominent players operating in the market are constantly adopting various growth strategies to stay afloat in the market. Product launches, innovations, mergers, and acquisitions, collaborations and partnerships, and intensive R&D are some of the growth strategies that are adopted by these key players to thrive in the competitive market. The key market players are also constantly focused on R&D to supply industries with the most efficient and cost-effective solutions.
Top Players in the Global Machine Learning Market
Machine Learning Market Recent Developments
SkyQuest’s ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Co-relates, and Analyses the Data collected utilizing Primary Exploratory Research backed by the robust Secondary Desk research.
According to our Global Machine Learning Market Analysis, in terms of components, the solutions segment held the largest share in the global machine learning market owing to the use of these solutions by academics and data scientists in hastening the implementation of ML and AI. By deployment, the cloud segment held the largest market share owing to the benefits that have led to the adoption of cloud-based delivery models for deep learning software solutions and services are flexibility, automated software upgrades, disaster management via cloud-based backup systems, and increased efficiency. By end-user, the healthcare segment held the largest share in the global machine learning market owing to the increase in the use of AI in the sector. And by region, the North American region held the largest market share owing to the presence of prominent market leaders in the region.
|Market size value in 2021||USD 6.91 billion|
|Market size value in 2030||USD 9.95 billion|
|Forecast Unit (Value)||USD Billion|
|Regions covered||North America (US, Canada), Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe), Asia Pacific (China, India, Japan, Rest of Asia-Pacific), Latin America (Brazil, Rest of Latin America), Middle East & Africa (South Africa, GCC Countries, Rest of MEA)|
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For the Global Machine Learning Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:
1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.
2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the Global Machine Learning Market.
3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.
4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.
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