Malaysia AI In Small and Medium Business Market - Forecast(2024 - 2030)
Malaysia AI in Small and Medium Business Market Overview
Globally, the Malaysia AI in SMB market is estimated to be $23,267.5 million in 2021 and is analyzed to grow at a CAGR of 21.89% during forecast period 2022-2027. AI can influence and assist SMEs in two ways: by changing their business environment and making it easier for them to do business, or by allowing them to modify their business models and practises, allowing them to expand their reach and productivity. These two dynamics are obviously intertwined, as SMEs adjust to changing business situations by modifying their processes and products, or by innovating to change market conditions using Data Analysis. Huge investment in AI around the globe is driving the Malaysia AI in Small and Medium Business market. AI is referred to as the fourth industrial revolution. E-commerce, healthcare, and insurance are the three industries that dominate AI in SMEs. AI has the potential to impact a variety of business operations through deployment of artificial neural networks, genetic algorithms, machine learning and predictive algorithms. It will be impacting cost structures as well as the value generation process inside a company. The business functions where AI might have the most influence include marketing and sales, Customer Engagement, supply chain management, and production.
Report Coverage
The report: “Malaysia
AI in SMB Market – Forecast (2022-2027)”, by IndustryARC covers an in-depth
analysis of the following segments of the Malaysia AI in SMB market
By Deployment: Cloud, On Premises, Hybrid
By Platform: In-Store, E-Commerce
By Learning Model: Unsupervised Learning, Supervised Learning,
Reinforced Learning, Semi-Supervised Learning, Others
By SME Market Type Sole Proprietorship, Partnership, Close
Corporation, Limited Liability Partnership
By Technology Machine Learning, Deep Learning, Natural Language
Processing, Others
By Application: CRM, IoT, Virtual Personal Assistant, Predictive
Analysis, Inventory Management, Others
By End Users: Manufacturing, Healthcare, Retail,
Transportation and Logistics, Education, BFSI, IT and Telecom, Others
Key Takeaways
- According to Dataiku, the world's largest AI and
machine learning platform provider, study 2021, AI development in the Asia
Pacific area is accelerating. In 2020, 43 percent of enterprises in the
APAC area invested in AI technology-based platforms to consolidate
resources and business. AI platforms can be game changers for
organisations at all levels of AI development.
- Furthermore, the market growth in Malaysia is analyzed
to grow at highest CAGR of 26.69%. High adoption of the artificial
intelligence for lowering operational costs of enterprises drives the market growth. Proliferation
of block-chain technology across different end user verticals also
contributes towards the market growth.
- In April 2021, Microsoft Corporation announced its
“Bersama Malaysia” (Together with Malaysia) initiative to empower
Malaysia’s inclusive digital economy as well as supporting the nation’s
digital transformation across all sectors. As part of this initiative,
every organizations in Malaysia are allowed to achieve innovations using
AI and build a smarter nation.
- In September 2021, IBM Corporation announced the launch
of new AI and automation capabilities in IBM Watson Assistant. It is
primarily designed to streamline businesses process by creating enhanced
customer service experiences in many areas such as phone, web, SMS and any
messaging platform.
Malaysia AI in SMB Market, By Deployment Model, 2021
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Malaysia AI in Small and Medium Business Market Segment Analysis – By Deployment Mode
The market for Cloud deployment model is
analyzed to grow at highest CAGR of 32.29% during the forecast period
2022-2027. Businesses are turning to the cloud approach to solve problems that
traditional IT infrastructure resolves with difficulty. Cloud bridges the gap
between IT and companies by increasing agility and efficiency while also
providing low-cost IT resources quickly. It enables businesses to scale up
their applications and infrastructure as needed, while still providing users
with high-speed performance and reliability. Furthermore, device connections to
the Internet of Things, Data and Intelligence, and Intelligent Automation
enable continual development of cloud-based business operations. According to Enterprise Cloud Index (ECI) report 2021, nearly all
Malaysian respondents (96%) picked hybrid cloud as the optimal infrastructure
for their organizations, surpassing those in the APJ region (90%) and the
worldwide answer pool (87%). Malaysian respondents now operate somewhat more
hybrid clouds than the norm, with 14% penetration, which they expect to
increase to 57% in five years.
Malaysia AI in Small and Medium Business Market Segment Analysis – By Vertical Outlook
The
manufacturing sector dominated the global market in 2021 at 20.9% on the basis
of vertical production, and is expected to rise in the forecast period. The
pandemic of COVID-19 has prompted new uses and technical advancements in the
field. It has expedited AI adoption in industries like healthcare. In order to
respond to the crisis, AI-based tools and solutions are being deployed in large
numbers. Technology behemoths including Microsoft, Google, Apple, Amazon, and
Facebook are pursuing projects in remote patient-clinician communication,
contact tracing, and medication research. Various organisations saw a large
rise in consumer pressure during the epidemic, but their number of available
personnel reduced. Various contact centres were unable to meet demand or were
forced to close due to lockdown limitations, resulting in high wait times for
customer support inquiries and a negative impact on the customer experience. As
a result, conversational AI has risen to the top of the list of technology
enablers. In April 2020, Huawei Malaysia has partnered with Malaysia's Ministry
of Health to deliver a Huawei Cloud AI-assisted Diagnosis solution to Sungai
Buloh Hospital, empowering local medical workers with AI skills by delivering
an AI solution for CT image analysis of potential COVID-19 patients. The Huawei
Cloud AI-assisted quantitative medical image analysis technology, which was
utilised to help deal with the COVID-19 issue throughout the world, can analyse
hundreds of CT scans in seconds, pinpointing lesions, and clinicians can now
deliver diagnosis findings in under a minute.
Malaysia AI in Small and Medium Business Market Segment Analysis – By Platform
In Store segment generated revenue of $169.0m in 2021 and is projected to grow by 25.37% through 2027. COVID-19 has been verified to be spreading to Malaysia from January 25, 2020. Within two months, there had been over 2908 confirmed cases, making it the most widespread illness in Southeast Asia. The Malaysian government has planned to enact a "Movement Control Order" (MCO) to prevent the spread of positive cases in the country via social isolation. This announcement highlights the issue of Malaysian SMEs' long-term viability amid the COVID-19 crisis, as well as the effect of MCO. SMEs constitute the backbone of Malaysia's economy, accounting for 98.5 percent of all company enterprises (DOSM, 2019). According to a recent poll conducted by the Malaysian SME Association, more than 51.2 percent of SMEs are predicted to lose more than RM500,000 in the next six months. The pandemic has revealed the gaps and worsened the risks in Malaysia's private sector, according to the World Bank in its 24th Malaysia Economic Monitor: Weathering the Surge report. This is particularly true for SMEs, who have been badly impacted by both supply and demand shocks. Small businesses continue to face more severe revenue shocks than medium and large businesses, and non-exporters face more severe revenue shocks than exporters.
Malaysia AI in Small and Medium Business Market Drivers
High adoption of the artificial intelligence for lowering operational costs of enterprises drives the market growth
AI
can help SMEs do activities more efficiently with less people, resulting in
lower operating costs: an important strategy in today's difficult economy.
According to Microsoft and IDC Asia/Pacific, artificial intelligence
(AI) boost Malaysian productivity by up to 60% by 2021. In January 2021,
RHB Banking Group introduced a smartphone app that employs artificial
intelligence to help SMEs submit loan applications faster. SMEs are now
automatically onboarded and may submit loan applications from anywhere. Face
recognition is aided by AI and big data in the app, which allows for speedier
processing in real time. According to The Edge, RHB plans to use this app to
fund RM500 million (US$121 million) in small company support in the coming
year. In recent years, the SME sector has risen faster than the broader
economy, therefore widespread adoption of AI will be a game changer for
Malaysia. According to the SME Corporation, the SME sector contributes 36.6
percent of the nation's Gross Domestic Product (GDP). Malaysia is also
providing entrepreneurs with AI capabilities to help them achieve their growth
goals. MIMOS Berhad, a national applied research agency, recently established
the Centre of AI for Future Industry to train experts in AI and IoT in
2021. In the face of IR4.0, the agency encourage SMEs to adopt the
latest technologies, and one of the main parts is AI. SMEs must both complement
and work with Malaysia’s key sectors to ensure successful growth. In 2021,
according to director of the Centre for
Artificial Intelligence & Robotics (CAIRO) at the Universiti Teknologi
Malaysia, AI and robotics firms in Malaysia need to focus on technologies for
specific local applications (such as palm oil or fisheries) and affordable
technologies for local and regional industries.
Rising incorporation of other advanced technologies including Block-chain positively impacts the market growth.
Block-chain technology allows businesses to keep
transaction records on many computers and distributes access to the digital
database to any authorised individual. Records are updated in real time across
all platforms, removing the requirement for an intermediary to validate the
data. SMEs will have easy access to loan data, smart contracts, and greater
commerce. SME crowd funding platforms, for instance, can utilise block-chain to
deliver information to and get additional money from foreign investors. SMEs
will be able to connect with international investors and clients in a more
transparent and secure manner. MoneyMatch, a Malaysian firm, leverages
block-chain to assist SMEs in paying overseas suppliers.
Malaysia AI in Small and Medium Business Market Challenges
Slow Digital Adoption and Productivity Gap
The country's SMEs are still lagging behind
major enterprises in terms of digital adoption, and the country's productivity
gap is widening as a result of the Covid epidemic. This factor thus acts as
hindrance towards the market growth. Small and medium businesses account for
98.5% of Malaysia's 920,624 commercial entities (SMEs). According to the World
Bank Malaysia in June 2021, despite being the backbone of the country's
business environment, digital adoption among SMEs falls behind that of bigger
firms. The pandemic has revealed the gaps and worsened the risks in Malaysia's
private sector, according to the World Bank in its 24th Malaysia
Economic Monitor: Weathering the Surge report. This is particularly true for
SMEs, who have been badly impacted by both supply and demand shocks. Small
businesses continue to face more severe revenue shocks than medium and large
businesses, and non-exporters face more severe revenue shocks than exporters.
Malaysia AI in Small and Medium Business Market Landscape
Technology
launches, acquisitions, and R&D activities are key strategies adopted by
players in the Malaysia AI in SMB market. In 2020, the market of Malaysia AI in
SMB market has been consolidated by the top players
- Microsoft
- IBM
- Amazon
- Fusionex
- Genaxis
- Symprio
- Virtual Spirit Technology
- Workspez
- SAP
Recent Developments
- In September 2021, Google Cloud and C3 AI announced of their partnership to help organizations across various industries to accelerate their application of artificial intelligence (AI) solutions. Google Cloud will work closely with C3 AI to ensure applications such as C3 AI Suite, C3 AI CRM, and C3 AI Ex Machina support the accuracy and scale of multiple Google Cloud products such as Google Kubernetes Engine, Google BigQuery, and Vertex AI, thus helping customers to build and deploy ML models swiftly & effectively.
- In August 2021, Microsoft Malaysia and Silicon Valley-based Seeloz Inc. (Seeloz) signed a Memorandum of Understanding (MoU) to assist the Malaysian supply chain ecosystem with AI technology to boost the major strategic sectors in Malaysia such as manufacturing, oil and gas, utilities, palm oil and public services.
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