According to a new study published by Polaris Market Research, the global artificial intelligence market is anticipated to reach USD 54 billion by 2026. The advancements of robots and the rise in their deployment rate particularly, in the developing economies globally have had a positive impact on the global artificial intelligence market.

Augmented customer experience, expanded application areas, enhanced productivity, and big data integration have highly propelled the artificial intelligence market worldwide. Although, the absence of adequate skilled workforce, as well as threat to human dignity, are some of the factors that could affect the growth of the market. However, these factors are expected to have minimal impact on the market attributed to the introduction of advanced technologies.

An extraordinary increase in productivity has been achieved with machine-learning. For instance, Google, with the help of its experimental driverless technology has transformed cars including, Toyota Prius. The integration of various tools by artificial intelligence has helped in the transformation of business management. These tools include brand purchase advertising, workflow management tools, trend predictions among others. For example, Google’s voice accuracy technology has a 98% accuracy rate. Furthermore, Facebook’s DeepFace technology has a success rate of approximately 97% in recognizing faces. Such accuracy in technologies is further anticipated to bolster the market growth during the forecast period.

Currently, North America dominates the global artificial intelligence market attributed to the high government funding availability, existence of prominent providers in the region, and robust technical adoption base. Also, the region is expected to continue its dominance during the forecast period. Moreover, the adoption of cloud-based services in key economies, such as the US and Canada, is considering adding to the market growth in the North American region. The markets in Asia Pacific, MEA and South America region are expected to notice a high growth during the coming years. The growth in the Asia Pacific region is attributed to the increasing demand for artificial technologies by the developing economies. Thus, the region is anticipated to grow at the highest CAGR during the forecast period.

Major companies profiled in the report include Google Inc., Intel Corporation, Nvidia Corporation, Microsoft Corporation, IBM Corporation, General Vision, Inc., Qlik Technologies Inc., MicroStrategy, Inc., Brighterion, Inc., and Baidu, Inc. among others.

Key Findings from the study suggest North America is expected to command the market over the forecast years. APAC is presumed to be the fastest-growing market, developing at a CAGR of more than 65% over the forecast period. The artificial intelligence market is presumed to develop at a CAGR of over 55.9% from 2018 to 2026. The high implementation of artificial intelligence in several end-user verticals including, retail, automotive and healthcare is projected to boost the growth of the market over the forecast period. Several companies are making considerable investments to integrate artificial intelligence competencies into their portfolio of products. For instance, in 2016, SK Telecom and Intel Corporation signed an agreement for the development of the artificial intelligence-based vehicle-to-everything (V2X) technology as well as video recognition.

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Transparency Market Research delivers key insights on the global deep learning chipset market. In terms of revenue, the deep learning chipset market is estimated to expand at a CAGR of ~24% during the forecast period, owing to numerous factors, regarding which TMR offers thorough insights and forecasts in its report on the deep learning chipset market.

The deep learning technology is driving advancements in artificial intelligence (AI). In the current scenario, the deep learning chipset technology is being led by graphics processing units and central processing units. However, in the next few years, other chipset types including, application-specific integrated circuits and field programmable gate arrays, are expected to play an extended role.

Deep Learning Chipset Market: Dynamics

While in the current scenario, a large number of developments are being witnessed in the robotics industry, the difference between human skills and robot motor skills still remains large. Machines still need to go a long way to match the human proficiency even at the level of basic sensorimotor skills such as grasping things. However, by linking learning with a continuous feedback, this gap can be bridged. By doing so, it would become easier for robots to understand the complexity of the current world and handle issues intelligently and reliably.

The neural network technology has made great strides to design computer programs that can process images, text, and speech, and can draw pictures too. However, introducing various actions and control mechanism adds substantial new challenges to the network. Overcoming these challenges would help in understanding the method in which machines would communicate in the current ecosystem. By bringing the power of large-scale deep learning to the robotic control, fundamental issues in robotics and automation can be easily resolved. This, in turn, is expected to augment the deep learning chipset market during the forecast period.

Deep Learning Chipset Market: Prominent Regions

North America is the dominant region in the deep learning chipset market. Growth of the market in the region can be attributed to high investments and a large number of manufacturers in the region. Moreover, the market in Europe is expected to witness significant growth during the forecast period, due to increasing demand for deep learning chipsets for use in prediction of frauds and failures in the region. Asia Pacific, South America, and Middle East & Africa are emerging markets for deep learning chipsets, offering lucrative opportunities to vendors and system integrators in the long term.

Deep Learning Chipset Market: Key Players

Key players operating in the global deep learning chipset market are IBM Corporation, Graphcore Ltd, CEVA, Inc., Advanced Micro Devices, Inc., NVIDIA Corporation, Intel Corporation, IBM Corporation, Movidius, XILINX INC., TeraDeep Inc., QUALCOMM Incorporated, and Alphabet Inc.

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